RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.

​ ​#​ ​Ukraine-Cyber-Operations ​Curated Intelligence is working with analysts from around the world to provide useful information to organisations in Ukraine looking for additional free threat intelligence. Slava Ukraini. Glory to Ukraine. ([​Blog​](https://www.curatedintel.org/2021/08/welcome.html) | [​Twitter​](https://twitter.com/CuratedIntel) | [​LinkedIn​](https://www.linkedin.com/company/curatedintelligence/)) ​ ​ ​###​ ​Analyst Comments: ​-​ 2022-02-25 ​  ​-​ Creation of the initial repository to help organisations in Ukraine ​  ​-​ Added [​Threat Reports​](https://github.com/curated-intel/Ukraine-Cyber-Operations#threat-reports) section ​  ​-​ Added [​Vendor Support​](https://github.com/curated-intel/Ukraine-Cyber-Operations#vendor-support) section ​-​ 2022-02-26 ​  ​-​ Additional resources, chronologically ordered (h/t Orange-CD) ​  ​-​ Added [​Vetted OSINT Sources​](https://github.com/curated-intel/Ukraine-Cyber-Operations#vetted-osint-sources) section  ​  ​-​ Added [​Miscellaneous Resources​](https://github.com/curated-intel/Ukraine-Cyber-Operations#miscellaneous-resources) section ​-​ 2022-02-27 ​  ​-​ Additional threat reports have been added ​  ​-​ Added [​Data Brokers​](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/README.md#data-brokers) section ​  ​-​ Added [​Access Brokers​](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/README.md#access-brokers) section ​-​ 2022-02-28 ​  ​-​ Added Russian Cyber Operations Against Ukraine Timeline by ETAC ​  ​-​ Added Vetted and Contextualized [​Indicators of Compromise (IOCs)​](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv) by ETAC ​-​ 2022-03-01 ​  ​-​ Additional threat reports and resources have been added ​-​ 2022-03-02 ​  ​-​ Additional [​Indicators of Compromise (IOCs)​](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv#L2011) have been added ​  ​-​ Added vetted [​YARA rule collection​](https://github.com/curated-intel/Ukraine-Cyber-Operations/tree/main/yara) from the Threat Reports by ETAC ​  ​-​ Added loosely-vetted [​IOC Threat Hunt Feeds​](https://github.com/curated-intel/Ukraine-Cyber-Operations/tree/main/KPMG-Egyde_Ukraine-Crisis_Feeds/MISP-CSV_MediumConfidence_Filtered) by KPMG-Egyde CTI (h/t [​0xDISREL​](https://twitter.com/0xDISREL)) ​    ​-​ IOCs shared by these feeds are ​`LOW-TO-MEDIUM CONFIDENCE`​ we strongly recommend NOT adding them to a blocklist ​    ​-​ These could potentially be used for ​`THREAT HUNTING`​ and could be added to a ​`WATCHLIST` ​    ​-​ IOCs are generated in ​`MISP COMPATIBLE`​ CSV format ​-​ 2022-03-03 ​  ​-​ Additional threat reports and vendor support resources have been added ​  ​-​ Updated [​Log4Shell IOC Threat Hunt Feeds​](https://github.com/curated-intel/Log4Shell-IOCs/tree/main/KPMG_Log4Shell_Feeds) by KPMG-Egyde CTI; not directly related to Ukraine, but still a widespread vulnerability. ​  ​-​ Added diagram of Russia-Ukraine Cyberwar Participants 2022 by ETAC ​  ​-​ Additional [​Indicators of Compromise (IOCs)​](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv#L2042) have been added ​####​ ​`Threat Reports` ​| Date | Source | Threat(s) | URL | ​| --- | --- | --- | --- | ​| 14 JAN | SSU Ukraine | Website Defacements | [ssu.gov.ua](https://ssu.gov.ua/novyny/sbu-rozsliduie-prychetnist-rosiiskykh-spetssluzhb-do-sohodnishnoi-kiberataky-na-orhany-derzhavnoi-vlady-ukrainy)| ​| 15 JAN | Microsoft | WhisperGate wiper (DEV-0586) | [microsoft.com](https://www.microsoft.com/security/blog/2022/01/15/destructive-malware-targeting-ukrainian-organizations/) | ​| 19 JAN | Elastic | WhisperGate wiper (Operation BleedingBear) | [elastic.github.io](https://elastic.github.io/security-research/malware/2022/01/01.operation-bleeding-bear/article/) | ​| 31 JAN | Symantec | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [symantec-enterprise-blogs.security.com](https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/shuckworm-gamaredon-espionage-ukraine) | ​| 2 FEB | RaidForums | Access broker "GodLevel" offering Ukrainain algricultural exchange | RaidForums [not linked] | ​| 2 FEB | CERT-UA | UAC-0056 using SaintBot and OutSteel malware | [cert.gov.ua](https://cert.gov.ua/article/18419) | ​| 3 FEB | PAN Unit42 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [unit42.paloaltonetworks.com](https://unit42.paloaltonetworks.com/gamaredon-primitive-bear-ukraine-update-2021/) | ​| 4 FEB | Microsoft | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [microsoft.com](https://www.microsoft.com/security/blog/2022/02/04/actinium-targets-ukrainian-organizations/) | ​| 8 FEB | NSFOCUS | Lorec53 (aka UAC-0056, EmberBear, BleedingBear) | [nsfocusglobal.com](https://nsfocusglobal.com/apt-retrospection-lorec53-an-active-russian-hack-group-launched-phishing-attacks-against-georgian-government) | ​| 15 FEB | CERT-UA | DDoS attacks against the name server of government websites as well as Oschadbank (State Savings Bank) & Privatbank (largest commercial bank). False SMS and e-mails to create panic | [cert.gov.ua](https://cert.gov.ua/article/37139) | ​| 23 FEB | The Daily Beast | Ukrainian troops receive threatening SMS messages | [thedailybeast.com](https://www.thedailybeast.com/cyberattacks-hit-websites-and-psy-ops-sms-messages-targeting-ukrainians-ramp-up-as-russia-moves-into-ukraine) | ​| 23 FEB | UK NCSC | Sandworm/VoodooBear (GRU) | [ncsc.gov.uk](https://www.ncsc.gov.uk/files/Joint-Sandworm-Advisory.pdf) | ​| 23 FEB | SentinelLabs | HermeticWiper | [sentinelone.com]( https://www.sentinelone.com/labs/hermetic-wiper-ukraine-under-attack/ ) | ​| 24 FEB | ESET | HermeticWiper | [welivesecurity.com](https://www.welivesecurity.com/2022/02/24/hermeticwiper-new-data-wiping-malware-hits-ukraine/) | ​| 24 FEB | Symantec | HermeticWiper, PartyTicket ransomware, CVE-2021-1636, unknown webshell | [symantec-enterprise-blogs.security.com](https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/ukraine-wiper-malware-russia) | ​| 24 FEB | Cisco Talos | HermeticWiper | [blog.talosintelligence.com](https://blog.talosintelligence.com/2022/02/threat-advisory-hermeticwiper.html) | ​| 24 FEB | Zscaler | HermeticWiper | [zscaler.com](https://www.zscaler.com/blogs/security-research/hermetic-wiper-resurgence-targeted-attacks-ukraine) | ​| 24 FEB | Cluster25 | HermeticWiper | [cluster25.io](https://cluster25.io/2022/02/24/ukraine-analysis-of-the-new-disk-wiping-malware/) | ​| 24 FEB | CronUp | Data broker "FreeCivilian" offering multiple .gov.ua | [twitter.com/1ZRR4H](https://twitter.com/1ZRR4H/status/1496931721052311557)| ​| 24 FEB | RaidForums | Data broker "Featherine" offering diia.gov.ua | RaidForums [not linked] | ​| 24 FEB | DomainTools | Unknown scammers | [twitter.com/SecuritySnacks](https://twitter.com/SecuritySnacks/status/1496956492636905473?s=20&t=KCIX_1Ughc2Fs6Du-Av0Xw) | ​| 25 FEB | @500mk500 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/500mk500](https://twitter.com/500mk500/status/1497339266329894920?s=20&t=opOtwpn82ztiFtwUbLkm9Q) | ​| 25 FEB | @500mk500 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/500mk500](https://twitter.com/500mk500/status/1497208285472215042)| ​| 25 FEB | Microsoft | HermeticWiper | [gist.github.com](https://gist.github.com/fr0gger/7882fde2b1b271f9e886a4a9b6fb6b7f) | ​| 25 FEB | 360 NetLab | DDoS (Mirai, Gafgyt, IRCbot, Ripprbot, Moobot) | [blog.netlab.360.com](https://blog.netlab.360.com/some_details_of_the_ddos_attacks_targeting_ukraine_and_russia_in_recent_days/) | ​| 25 FEB | Conti [themselves] | Conti ransomware, BazarLoader | Conti News .onion [not linked] | ​| 25 FEB | CoomingProject [themselves] | Data Hostage Group | CoomingProject Telegram [not linked] | ​| 25 FEB | CERT-UA | UNC1151/Ghostwriter (Belarus MoD) | [CERT-UA Facebook](https://facebook.com/story.php?story_fbid=312939130865352&id=100064478028712)| ​| 25 FEB | Sekoia | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/sekoia_io](https://twitter.com/sekoia_io/status/1497239319295279106) | ​| 25 FEB | @jaimeblascob | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/jaimeblasco](https://twitter.com/jaimeblascob/status/1497242668627370009)| ​| 25 FEB | RISKIQ | UNC1151/Ghostwriter (Belarus MoD) | [community.riskiq.com](https://community.riskiq.com/article/e3a7ceea/) | ​| 25 FEB | MalwareHunterTeam | Unknown phishing | [twitter.com/malwrhunterteam](https://twitter.com/malwrhunterteam/status/1497235270416097287) | ​| 25 FEB | ESET | Unknown scammers | [twitter.com/ESETresearch](https://twitter.com/ESETresearch/status/1497194165561659394) | ​| 25 FEB | BitDefender | Unknown scammers | [blog.bitdefender.com](https://blog.bitdefender.com/blog/hotforsecurity/cybercriminals-deploy-spam-campaign-as-tens-of-thousands-of-ukrainians-seek-refuge-in-neighboring-countries/) | ​| 25 FEB | SSSCIP Ukraine | Unkown phishing | [twitter.com/dsszzi](https://twitter.com/dsszzi/status/1497103078029291522) | ​| 25 FEB | RaidForums | Data broker "NetSec"  offering FSB (likely SMTP accounts) | RaidForums [not linked] | ​| 25 FEB | Zscaler | PartyTicket decoy ransomware | [zscaler.com](https://www.zscaler.com/blogs/security-research/technical-analysis-partyticket-ransomware) | ​| 25 FEB | INCERT GIE | Cyclops Blink, HermeticWiper | [linkedin.com](https://www.linkedin.com/posts/activity-6902989337210740736-XohK) [Login Required] | ​| 25 FEB | Proofpoint | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/threatinsight](https://twitter.com/threatinsight/status/1497355737844133895?s=20&t=Ubi0tb_XxGCbHLnUoQVp8w) | ​| 25 FEB | @fr0gger_ | HermeticWiper capabilities Overview | [twitter.com/fr0gger_](https://twitter.com/fr0gger_/status/1497121876870832128?s=20&t=_296n0bPeUgdXleX02M9mg) ​| 26 FEB | BBC Journalist | A fake Telegram account claiming to be President Zelensky is posting dubious messages | [twitter.com/shayan86](https://twitter.com/shayan86/status/1497485340738785283?s=21) | ​| 26 FEB | CERT-UA | UNC1151/Ghostwriter (Belarus MoD) | [CERT_UA Facebook](https://facebook.com/story.php?story_fbid=313517477474184&id=100064478028712) | ​| 26 FEB | MHT and TRMLabs | Unknown scammers, linked to ransomware | [twitter.com/joes_mcgill](https://twitter.com/joes_mcgill/status/1497609555856932864?s=20&t=KCIX_1Ughc2Fs6Du-Av0Xw) | ​| 26 FEB | US CISA | WhisperGate wiper, HermeticWiper | [cisa.gov](https://www.cisa.gov/uscert/ncas/alerts/aa22-057a) | ​| 26 FEB | Bloomberg | Destructive malware (possibly HermeticWiper) deployed at Ukrainian Ministry of Internal Affairs & data stolen from Ukrainian telecommunications networks | [bloomberg.com](https://www.bloomberg.com/news/articles/2022-02-26/hackers-destroyed-data-at-key-ukraine-agency-before-invasion?sref=ylv224K8) | ​| 26 FEB | Vice Prime Minister of Ukraine | IT ARMY of Ukraine created to crowdsource offensive operations against Russian infrastructure | [twitter.com/FedorovMykhailo](https://twitter.com/FedorovMykhailo/status/1497642156076511233) | ​| 26 FEB | Yoroi | HermeticWiper | [yoroi.company](https://yoroi.company/research/diskkill-hermeticwiper-a-disruptive-cyber-weapon-targeting-ukraines-critical-infrastructures) | ​| 27 FEB | LockBit [themselves] | LockBit ransomware | LockBit .onion [not linked] |  ​| 27 FEB | ALPHV [themselves] | ALPHV ransomware | vHUMINT [closed source] | ​| 27 FEB | Mēris Botnet [themselves] | DDoS attacks | vHUMINT [closed source] | ​| 28 FEB | Horizon News [themselves] | Leak of China's Censorship Order about Ukraine | [TechARP](https://www-techarp-com.cdn.ampproject.org/c/s/www.techarp.com/internet/chinese-media-leaks-ukraine-censor/?amp=1)| ​| 28 FEB | Microsoft | FoxBlade (aka HermeticWiper) | [Microsoft](https://blogs.microsoft.com/on-the-issues/2022/02/28/ukraine-russia-digital-war-cyberattacks/?preview_id=65075) | ​| 28 FEB | @heymingwei | Potential BGP hijacks attempts against Ukrainian Internet Names Center | [https://twitter.com/heymingwei](https://twitter.com/heymingwei/status/1498362715198263300?s=20&t=Ju31gTurYc8Aq_yZMbvbxg) | ​| 28 FEB | @cyberknow20 | Stormous ransomware targets Ukraine Ministry of Foreign Affairs | [twitter.com/cyberknow20](https://twitter.com/cyberknow20/status/1498434090206314498?s=21) |  ​| 1 MAR | ESET | IsaacWiper and HermeticWizard | [welivesecurity.com](https://www.welivesecurity.com/2022/03/01/isaacwiper-hermeticwizard-wiper-worm-targeting-ukraine/) | ​| 1 MAR | Proofpoint | Ukrainian armed service member's email compromised and sent malspam containing the SunSeed malware (likely TA445/UNC1151/Ghostwriter) | [proofpoint.com](https://www.proofpoint.com/us/blog/threat-insight/asylum-ambuscade-state-actor-uses-compromised-private-ukrainian-military-emails) | ​| 1 MAR | Elastic | HermeticWiper | [elastic.github.io](https://elastic.github.io/security-research/intelligence/2022/03/01.hermeticwiper-targets-ukraine/article/) | ​| 1 MAR | CrowdStrike | PartyTicket (aka HermeticRansom), DriveSlayer (aka HermeticWiper) | [CrowdStrike](https://www.crowdstrike.com/blog/how-to-decrypt-the-partyticket-ransomware-targeting-ukraine/) | ​| 2 MAR | Zscaler | DanaBot operators launch DDoS attacks against the Ukrainian Ministry of Defense | [zscaler.com](https://www.zscaler.com/blogs/security-research/danabot-launches-ddos-attack-against-ukrainian-ministry-defense) | ​| 3 MAR | @ShadowChasing1 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/ShadowChasing1](https://twitter.com/ShadowChasing1/status/1499361093059153921) | ​| 3 MAR | @vxunderground | News website in Poland was reportedly compromised and the threat actor uploaded anti-Ukrainian propaganda | [twitter.com/vxunderground](https://twitter.com/vxunderground/status/1499374914758918151?s=20&t=jyy9Hnpzy-5P1gcx19bvIA) | ​| 3 MAR | @kylaintheburgh | Russian botnet on Twitter is pushing "#istandwithputin" and "#istandwithrussia" propaganda (in English) | [twitter.com/kylaintheburgh](https://twitter.com/kylaintheburgh/status/1499350578371067906?s=21) | ​| 3 MAR | @tracerspiff | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com](https://twitter.com/tracerspiff/status/1499444876810854408?s=21) | ​####​ ​`Access Brokers` ​| Date | Threat(s) | Source | ​| --- | --- | --- | ​| 23 JAN | Access broker "Mont4na" offering UkrFerry | RaidForums [not linked] | ​| 23 JAN | Access broker "Mont4na" offering PrivatBank | RaidForums [not linked] | ​| 24 JAN | Access broker "Mont4na" offering DTEK | RaidForums [not linked] | ​| 27 FEB | KelvinSecurity Sharing list of IP cameras in Ukraine | vHUMINT [closed source] | ​| 28 FEB | "w1nte4mute" looking to buy access to UA and NATO countries (likely ransomware affiliate) | vHUMINT [closed source] | ​####​ ​`Data Brokers` ​| Threat Actor    | Type            | Observation                                                                                               | Validated | Relevance                     | Source                                                     | ​| --------------- | --------------- | --------------------------------------------------------------------------------------------------------- | --------- | ----------------------------- | ---------------------------------------------------------- | ​| aguyinachair    | UA data sharing | PII DB of ukraine.com (shared as part of a generic compilation)                                           | No        | TA discussion in past 90 days | ELeaks Forum \[not linked\]                                | ​| an3key          | UA data sharing | DB of Ministry of Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua)           | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| an3key          | UA data sharing | DB of Ukrainian Ministry of Internal Affairs (wanted\[.\]mvs\[.\]gov\[.\]ua)                              | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (40M) of PrivatBank customers (privatbank\[.\]ua)                                                  | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | DB of "border crossing" DBs of DPR and LPR                                                                | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (7.5M) of Ukrainian passports                                                                      | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB of Ukrainian car registration, license plates, Ukrainian traffic police records                    | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (2.1M) of Ukrainian citizens                                                                       | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (28M) of Ukrainian citizens (passports, drivers licenses, photos)                                  | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (1M) of Ukrainian postal/courier service customers (novaposhta\[.\]ua)                             | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (10M) of Ukrainian telecom customers (vodafone\[.\]ua)                                             | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (3M) of Ukrainian telecom customers (lifecell\[.\]ua)                                              | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| CorelDraw       | UA data sharing | PII DB (13M) of Ukrainian telecom customers (kyivstar\[.\]ua)                                             | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| danieltx51      | UA data sharing | DB of Ministry of Foreign Affairs of Ukraine (mfa\[.\]gov\[.\]ua)                                         | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| DueDiligenceCIS | UA data sharing | PII DB (63M) of Ukrainian citizens (name, DOB, birth country, phone, TIN, passport, family, etc)          | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| Featherine      | UA data sharing | DB of Ukrainian 'Diia' e-Governance Portal for Ministry of Digital Transformation of Ukraine              | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| FreeCivilian    | UA data sharing | DB of Ministry for Internal Affairs of Ukraine public data search engine (wanted\[.\]mvs\[.\]gov\[.\]ua)  | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| FreeCivilian    | UA data sharing | DB of Ministry for Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua)          | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| FreeCivilian    | UA data sharing | DB of Motor Insurance Bureau of Ukraine (mtsbu\[.\]ua)                                                    | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| FreeCivilian    | UA data sharing | PII DB of Ukrainian digital-medicine provider (medstar\[.\]ua)                                            | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| FreeCivilian    | UA data sharing | DB of ticket.kyivcity.gov.ua                                                                              | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of id.kyivcity.gov.ua                                                                                  | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of my.kyivcity.gov.ua                                                                                  | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of portal.kyivcity.gov.ua                                                                              | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of anti-violence-map.msp.gov.ua                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dopomoga.msp.gov.ua                                                                                 | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of e-services.msp.gov.ua                                                                               | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of edu.msp.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of education.msp.gov.ua                                                                                | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of ek-cbi.msp.gov.ua                                                                                   | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mail.msp.gov.ua                                                                                     | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of portal-gromady.msp.gov.ua                                                                           | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of web-minsoc.msp.gov.ua                                                                               | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of wcs-wim.dsbt.gov.ua                                                                                 | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of bdr.mvs.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of motorsich.com                                                                                       | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dsns.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mon.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of minagro.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of zt.gov.ua                                                                                           | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of kmu.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mvs.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dsbt.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of forest.gov.ua                                                                                       | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of nkrzi.gov.ua                                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dabi.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of comin.gov.ua                                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dp.dpss.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of esbu.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mms.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mova.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mspu.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of nads.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of reintegration.gov.ua                                                                                | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of sies.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of sport.gov.ua                                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mepr.gov.ua                                                                                         | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mfa.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of va.gov.ua                                                                                           | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mtu.gov.ua                                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of cg.mvs.gov.ua                                                                                       | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of ch-tmo.mvs.gov.ua                                                                                   | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of cp.mvs.gov.ua                                                                                       | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of cpd.mvs.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of hutirvilnij-mrc.mvs.gov.ua                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dndekc.mvs.gov.ua                                                                                   | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of visnyk.dndekc.mvs.gov.ua                                                                            | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of dpvs.hsc.gov.ua                                                                                     | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of odk.mvs.gov.ua                                                                                      | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of e-driver\[.\]hsc\[.\]gov\[.\]ua                                                                     | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of wanted\[.\]mvs\[.\]gov\[.\]ua                                                                       | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of minregeion\[.\]gov\[.\]ua                                                                           | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of health\[.\]mia\[.\]solutions                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mtsbu\[.\]ua                                                                                        | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of motorsich\[.\]com                                                                                   | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of kyivcity\[.\]com                                                                                    | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of bdr\[.\]mvs\[.\]gov\[.\]ua                                                                          | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of gkh\[.\]in\[.\]ua                                                                                   | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of kmu\[.\]gov\[.\]ua                                                                                  | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mon\[.\]gov\[.\]ua                                                                                  | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of minagro\[.\]gov\[.\]ua                                                                              | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| FreeCivilian    | UA data sharing | DB of mfa\[.\]gov\[.\]ua                                                                                  | No        | TA discussion in past 90 days | FreeCivilian .onion \[not linked\]                         | ​| Intel\_Data     | UA data sharing | PII DB (56M) of Ukrainian Citizens                                                                        | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| Kristina        | UA data sharing | DB of Ukrainian National Police (mvs\[.\]gov\[.\]ua)                                                      | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| NetSec          | UA data sharing | PII DB (53M) of Ukrainian citizens                                                                        | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| Psycho\_Killer  | UA data sharing | PII DB (56M) of Ukrainian Citizens                                                                        | No        | TA discussion in past 90 days | Exploit Forum .onion \[not linked\]                        | ​| Sp333           | UA data sharing | PII DB of Ukrainian and Russian interpreters, translators, and tour guides                                | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| Vaticano        | UA data sharing | DB of Ukrainian 'Diia' e-Governance Portal for Ministry of Digital Transformation of Ukraine \[copy\]     | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​| Vaticano        | UA data sharing | DB of Ministry for Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua) \[copy\] | No        | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | ​####​ ​`Vendor Support` ​| Vendor | Offering | URL | ​| --- | --- | --- | ​| Dragos | Access to Dragos service if from US/UK/ANZ and in need of ICS cybersecurity support | [twitter.com/RobertMLee](https://twitter.com/RobertMLee/status/1496862093588455429) | ​| GreyNoise |  Any and all `Ukrainian` emails registered to GreyNoise have been upgraded to VIP which includes full, uncapped enterprise access to all GreyNoise products | [twitter.com/Andrew___Morris](https://twitter.com/Andrew___Morris/status/1496923545712091139) | ​| Recorded Future | Providing free intelligence-driven insights, perspectives, and mitigation strategies as the situation in Ukraine evolves| [recordedfuture.com](https://www.recordedfuture.com/ukraine/) | ​| Flashpoint | Free Access to Flashpoint’s Latest Threat Intel on Ukraine | [go.flashpoint-intel.com](https://go.flashpoint-intel.com/trial/access/30days) | ​| ThreatABLE | A Ukraine tag for free threat intelligence feed that's more highly curated to cyber| [twitter.com/threatable](https://twitter.com/threatable/status/1497233721803644950) | ​| Orange | IOCs related to Russia-Ukraine 2022 conflict extracted from our Datalake Threat Intelligence platform. | [github.com/Orange-Cyberdefense](https://github.com/Orange-Cyberdefense/russia-ukraine_IOCs)| ​| FSecure | F-Secure FREEDOME VPN is now available for free in all of Ukraine | [twitter.com/FSecure](https://twitter.com/FSecure/status/1497248407303462960) | ​| Multiple vendors | List of vendors offering their services to Ukraine for free, put together by [@chrisculling](https://twitter.com/chrisculling/status/1497023038323404803) | [docs.google.com/spreadsheets](https://docs.google.com/spreadsheets/d/18WYY9p1_DLwB6dnXoiiOAoWYD8X0voXtoDl_ZQzjzUQ/edit#gid=0) | ​| Mandiant | Free threat intelligence, webinar and guidance for defensive measures relevant to the situation in Ukraine. | [mandiant.com](https://www.mandiant.com/resources/insights/ukraine-crisis-resource-center) | ​| Starlink | Satellite internet constellation operated by SpaceX providing satellite Internet access coverage to Ukraine | [twitter.com/elonmusk](https://twitter.com/elonmusk/status/1497701484003213317) | ​| Romania DNSC | Romania’s DNSC – in partnership with Bitdefender – will provide technical consulting, threat intelligence and, free of charge, cybersecurity technology to any business, government institution or private citizen of Ukraine for as long as it is necessary. | [Romania's DNSC Press Release](https://dnsc.ro/citeste/press-release-dnsc-and-bitdefender-work-together-in-support-of-ukraine)| ​| BitDefender | Access to Bitdefender technical consulting, threat intelligence and both consumer and enterprise cybersecurity technology | [bitdefender.com/ukraine/](https://www.bitdefender.com/ukraine/) | ​| NameCheap | Free anonymous hosting and domain name registration to any anti-Putin anti-regime and protest websites for anyone located within Russia and Belarus | [twitter.com/Namecheap](https://twitter.com/Namecheap/status/1498998414020861953) | ​| Avast | Free decryptor for PartyTicket ransomware | [decoded.avast.io](https://decoded.avast.io/threatresearch/help-for-ukraine-free-decryptor-for-hermeticransom-ransomware/) |  ​####​ ​`Vetted OSINT Sources` ​| Handle | Affiliation | ​| --- | --- | ​| [@KyivIndependent](https://twitter.com/KyivIndependent) | English-language journalism in Ukraine | ​| [@IAPonomarenko](https://twitter.com/IAPonomarenko) | Defense reporter with The Kyiv Independent | ​| [@KyivPost](https://twitter.com/KyivPost) | English-language journalism in Ukraine | ​| [@Shayan86](https://twitter.com/Shayan86) | BBC World News Disinformation journalist | ​| [@Liveuamap](https://twitter.com/Liveuamap) | Live Universal Awareness Map (“Liveuamap”) independent global news and information site | ​| [@DAlperovitch](https://twitter.com/DAlperovitch) | The Alperovitch Institute for Cybersecurity Studies, Founder & Former CTO of CrowdStrike | ​| [@COUPSURE](https://twitter.com/COUPSURE) | OSINT investigator for Centre for Information Resilience | ​| [@netblocks](https://twitter.com/netblocks) | London-based Internet's Observatory | ​####​ ​`Miscellaneous Resources` ​| Source | URL | Content | ​| --- | --- | --- | ​| PowerOutages.com | https://poweroutage.com/ua | Tracking PowerOutages across Ukraine | ​| Monash IP Observatory | https://twitter.com/IP_Observatory | Tracking IP address outages across Ukraine | ​| Project Owl Discord | https://discord.com/invite/projectowl | Tracking foreign policy, geopolitical events, military and governments, using a Discord-based crowdsourced approach, with a current emphasis on Ukraine and Russia | ​| russianwarchatter.info | https://www.russianwarchatter.info/ | Known Russian Military Radio Frequencies |

Decentralized Finance & It's use cases- DeFi (Decentralized Finance) Another open-world approach to the current financial system. Products that allow you to borrow, save, invest, trade, and more. Based on open source technology anyone can plan with. DeFi is an open and global financial system that has been built for years - another way of being a sharp, tightly managed, and cohesive system of decades-old infrastructure and processes. It gives you more control and visibility than your money. It gives you exposure to global markets and other options for your local currency or banking options. DeFi products open financial services to anyone with an internet connection and are highly managed and maintained by their users. To date, tens of billions of dollars worth of crypto have gone through DeFi applications and is growing every day. What is DeFi? DeFi is an integrated name for financial products and services accessible to anyone who can use Ethereum - anyone with an Internet connection. With DeFi, markets remain open and no central authorities can block payments or deny you access to anything. Services that used to be slow and vulnerable to human error are now automated and secure as they are governed by a code that anyone can check and evaluate. There is a thriving crypto-economy out there, where you can borrow, borrow, length / short, earn interest, and more. Crypto-savvy Argentinians have used DeFi to escape inflation. Companies have begun distributing their pay to their employees in real-time. Some people even withdraw and repay loans worth millions of dollars without the need for personal information. DeFi vs Traditional Finance One of the best ways to see the power of DeFi is to understand the problems that exist today. Some people are not given access to setting up a bank account or using financial services. Lack of access to financial services can prevent people from being employed. Financial services can prevent you from paying. Hidden payment for financial services is your data. Governments and private institutions can close markets at will. Trading hours are usually limited to one-hour business hours. Transfers may take days due to personal processes. There is a premium for financial services because mediation institutions require their cutting. DeFi Use Cases DeFi has revolutionized the financial world over the past few years. This new approach to financial planning can transcend asset systems through efficiency and security. It is true that there are certain dangers in DeFi but those are within the concrete limits. Let's take a look at the most effective DeFi usage cases - Asset Management One of DeFi's biggest effects is that users can now enjoy more control over their assets. Many DeFi projects provide solutions that allow users to manage their assets, including - buying, selling, and transferring digital assets. Therefore, users can also earn interest on their digital assets. Contrary to the traditional financial system, DeFi allows users to maintain the privacy of their sensitive information. Think of the secret keys or passwords of your financial accounts - you should have shared that information with the appropriate organizations beforehand. Now, different DeFi projects, such as Metamask, Argent, or Gnosis Safe help users encrypt and store those pieces of information on their devices. This ensures that only users have access to their accounts and can manage their assets. Therefore, asset management is one of the most widely used financial services cases for users. Compliance with AML and CFT Rates through the KYT Mechanism Traditional financial systems focus heavily on Know-Your-Customer (KYC) agreements. KYC Guidelines are its major law enforcement tool for using Anti-Money Laundering (AML) and Countering-the-Financing-of-Terrorism (CFT) standards. However, KYC guidelines often conflict with DeFi's privacy efforts. DeFi responds to this problem with a new concept called the Know-Your-Transaction (KYT) mechanism. This approach suggests that low-level infrastructure will focus on ethical behavior for digital addresses rather than user considerations. Therefore, KYT solves two issues simultaneously - monitoring real-time operations and ensuring user privacy. This makes KYT one of the biggest gaps in low-cost cases. Non-Governmental Organizations or DAOs The DAOs are partners of the central financial institutions of DeFi - making it one of the pillars of low-income finance cases. In the traditional system, central financial institutions play a major role. These organizations operate as administrative institutions that regulate basic financial operations, such as monetization, asset management, administrative utilization, etc. The Ethereum blockchain echerestem has introduced empowered organizations to achieve the same goals. However, DAOs are naturally empowered and do not conform to the limits set by central governments or authorities. Analysis and Risk Tools Transparency and redistribution of world power have opened the way for the discovery and analysis of unprecedented user data. With access to this information, users can make informed business decisions, discover new financial opportunities, and implement better risk management strategies. A new type of data analytics with useful blockchain tools and dashboards has emerged in this industry trend. DeFi projects such as DeFi Pulse or CoDeFi Data bring an impressive amount of analytics and risk management tool. Now, businesses are moving faster as they enjoy unpredictable competitive advantages. This is certainly one of the most widely used financial cases. Receivables and Manufacturing Goods Smart contracts allow for the receipt of token receipts and have become one of the most distinctive scenarios for DeFi use. Making a token further means setting a contract value based on the underlying financial asset or set of assets. This underlying financial asset acts as a security measure, which means it can include - bonds, fiat currencies, commodities, market indicators, interest rates, or stock prices. Now, the issuance of outgoing tokens is a secondary security and their value varies with the number of key securities (bonds or fiat money). Thus, the output actually creates artificial goods. Synthetix and dYdX are some of the leading DeFi projects focused on token acquisitions. Network Infrastructure Effect In a DeFi ecosystem, objects within the system can connect and interact. This design feature is known as integration and serves as a protocol for infrastructure development. As a result, DeFi projects are continuously integrated with the network result. Infrastructure tools for use of DeFi applications are remarkable. Various DeFi projects, such as TruffleSuite or InfuraAPI, are good examples in this case. Enhanced Digital ID Blockchain-based identity system systems are already gaining a lot of attention in recent times. Pairing DeFi programs with these patent systems can help people access the global economic system. The traditional method rewards personal income or assets collected as credit providers. With digital identity paired with DeFi, you may be looking for other practical attributes, such as - financial services or professional ability. This new type of digital ID can help the poor to access DeFi apps from any internet connection. It can certainly be one of the cases of possible use. Insurance Insurance is one of the largest financial institutions and has already been proven to be one of the biggest charges for using DeFi. The current insurance system is crowded with paperwork, old audit plans, and bureaucratic insurance claim processes. With the successful implementation of smart contracts, all these problems with the current system can be solved. Many DeFi projects (Nexus Mutual, Opyn, and VouchForMe) provide blockchain access to insurance against DeFi or contract risk. P2P borrowing and borrowing As DeFi bids farewell to traditional banking systems, a space for the lending and lending market has emerged. Therefore, borrowing and lending is one of the most important aspects of using DeFi. However, the DeFi ecosystem is well suited for peer-to-peer (P2P) borrowing and lending efforts. Many DeFi projects have already entered the market focusing on this particular application case. Among these programs, Compound and PoolTogether are two well-known names. These projects have independent policies for lending and lending. Payment Solutions One of DeFi's top drivers was serving non-bankers or understated banks from the get-go. DeFi's natural features make it ideal for solving the problems of current global payment systems. DeFi provides fast, secure, and transparent solutions compared to asset systems. As DeFi lowers the demand for intermediaries, making payments easier and more transparent, DeFi-based blockchain-based payment solutions can appeal to non-bankers.

بسم الله الرحمن الرحيم C.V. NAME: SHA'BAN YOUSEF MOHAMMAD ELQASASS TELE PHONE NO. : 0799455189 NATIONALITY: JORDANIAN ADDRESS: JORDAN-AMMAN E-MAIL: SHBNQ422@YAHOO.COM WWW.SHAABANALQASSAS.COM CERTIFICATES: • HIGHER DIPLOMA IN INFORMATION TECHNOLOGY ( THE UNIVERSITY OF JORDAN) • B.CS IN CHEMISTRY AND COMPUTER FROM YARMOUK UNIVERSITY JORDAN • MCAD.NET (MICROSOFT CERTIFIED APPLICATION DEVELOPER 2003) • ADO.NET; ASP.NET ; MVC :LINQ :VB.NET : C# • MS SQL SERVER DATABASE 2005-2008-2012-2014 • ACCESSING DATA WITH MICROSOFT .NET FRAMEWORK 4 CERTIFICATE -MICROSOFT • JOOMLA WEBSITES DEVELOPER • PHP; MYSQL DATABASE; • MICROSOFT CERTIFIED TECHNOLOGY SPECIALIST (MCTS 2013) • CERTIFICATE DEVELOPING DATA ACCESS SOLUTIONS- MICROSOFT • CERTIFICATE DEVELOPING WEB APPLICATIONS – MICROSOFT • CERTIFICATE ADMIN TEAM FOUNDATION SERVER – MICROSOFT • CERTIFICATE DEVELOPING SILVERLIGHT – MICROSOFT • OFFICIAL TRANING IN ARCGIS 10.1 (I) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( II) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( III) performing analysis – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( BUILDING GEODATABASE) – BY ESRI • OFFICIAL TRANING IN IMPLEMENTING VERSIONED WORKFLOWS IN A MULTIUSER GEODATABASE – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( BUILDING WEB APPLICATION USING THE ARCGIS API ) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( INTRODUCTION TO ARCGIS SERVER) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 (CONFIGURING & MANAGING THE MULTIUSER GEODATABASE (SDE)) – BY ESRI • CERTIFICATE MAINTAINING MICROSOFT SQL SERVER DATABASE-MICROSOFT • CERTIFICATE IMPLEMENTING MICROSOFT SQL SERVER DATABASE REPORTING SERVICES- MICROSOFT • CERTIFICATE SHAREPOINT SERVER ADMINISTRATION- MICROSOFT • CERTIFICATE SHAREPOINT SERVER DEVELOPMENT- MICROSOFT • BUSINESS INTELLIGENCE TOOLS :DATA ANALYSIS SERVICES, DATA TRANSFORMATION SERVICES (DTS), DATA MIGRATION SERVICES, ETL (EXTRACT, TRANSFORM, AND LOAD) SERVICES, • ONLINE ANALYTICAL PROCESSING (OLAP) AND DATA-MINING TOOLS • CERTIFICATE WRITING QUERIES USING MICROSOFT SQL SERVER TRANSACT SQL –MICROSOFT • CERTIFICATE IMPLEMENTING AND MAINTAINING MICROSOFT SQL SERVER ANALYSIS SERVICES –MICROSOFT • CERTIFICATE IMPLEMENTING AND MAINTAINING MICROSOFT SQL SERVER INTEGRATION SERVICES –MICROSOFT • CERTIFICATE ADMINISTERING TEAM FOUNDATION SERVER • SYSTEM ADMINISTRATOR • Adobe program (graphics & design) • MS - SQL SERVER REPORTING SERVICE-OLAP-BI • SPSS ADVANCED TRAINING • ICDL CERTIFICATE • GEOMEDIA PROFESSIONAL GIS • GEOMEDIA WEBMAP GIS • GEOMEDIA TRANSPORTAION GIS • INTEL CERTIFICATE FUTURE FOR LEARNING • A+ COMPUTER MAINTENANCE (HARDWARE & SOFTWARE) • NETWORK + • SPECIALIZED COURSE IN METHODS OF CALCULATING THE RATE OF POPULATION GROWTH / DEPARTMENT OF STATISTICS • COURSE COMPLETION DEMOGRAPHIC / DEPARTMENT OF STATISTICS • SPECIALIZED COURSE IN THE MEASUREMENT OF IMMIGRATION / DEPARTMENT OF STATISTICS. • Develop GIS websites using GIS SILVERLIGHT asp.net technology. • Develop GIS websites using GIS flex technology. • Certificate projection methods and simulation models-UNESCO • Specialized course in fertility / Department of Statistics. • Specialized course in the measurement of levels and patterns of DEATH / DEPARTMENT OF STATISTICS • COURSE CODE POPULATION PROJECTIONS / DEPARTMENT OF STATISTICS • SPECIALIZED COURSE IN THE PREPARATION OF PROJECTIONS IN CRISES AND STRATEGIC PLANNING - UNESCO • WEB DESIGN USING DREAM WAVER • ASSOCIATE REGIONAL WORKSHOP ON EDUCATION STATISTICS - UNESCO INSTITUTE FOR STATISTICS • USING SPSS PROGRAM • ADVANCED COURSE IN STRATEGIC PLANNING AND THE PREPARATION OF INDICATORS • ADVANCED COURSE IN-DEPTH DEMOGRAPHIC ANALYSIS (U.S.BUREAU OF CENSUS) • ADVANCED COURSE IN POPULATION PROJECTIONS (U.S.BUREAU OF CENSUS) • EMIS EDUCATIONAL MANAGEMENT INFORMATION SYSTEM EXPERIENCES: • HEAD OF EMIS AND GIS DIVISION ) EDUCATIONAL MANAGEMENT INFORMATION SYSTEM( • HEAD OF PLANNING AND STATISTICS DIVISION • SUPERVISOR IN THE STATISTICS OF THE POPULATION IN THE KINGDOM IN 2004 AND DESIGNED STATISTICAL SOFTWARE.PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE EDUCATIONAL INDICATORS SIDE WITH GIS MAPS OF SCHOOL • TEAM LEADER IN DEVELOPMENT OF INFORMATION SYSTEM PROJECT ERSP • TEAM LEADER IN DEVELOPMENT OF INFORMATION SYSTEM PROJECT OPENEMIS • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE STATISTICAL INFORMATION AND SURVEY FOR SCHOOL FOOD.. UNITED NATIONS WORLD FOOD PROGRAMME (WFP) • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE STATISTICAL INFORMATION EMIS-EDUWAVE. • DEVELOP AND MANAGE IMPLEMENTATION OF PROJECT COMMUNICATION STRATEGIES AND COORDINATE CHANGE MANAGEMENT. • NATIONAL COORDINATOR OF THE EDUCATION INDICATORS WEI "WORLD EDUCATION INDICATOR" -UNESCO • DATABASE SPECIALISTS OF PARLIAMENTARY ELECTIONS • DATABASE ADMINISTRATION • DATABASE DESIGN, IMPLEMENTATION, TRANSACTION PROCESSING, REFERENTIAL INTEGRITY, PERFORMANCE TUNING AND MONITORING WITH AN EMPHASIS IN MS SQL. • MONITOR, REVIEW, AND VERIFY BACKUPS, RECOVERY, AND DISASTER RECOVERY PROCESSES. • CONTROL AND MONITOR USER ACCESS TO DATABASES AND MAINTAIN DATABASE SECURITY. • TROUBLESHOOT JOB FAILURES, PERFORMANCE ISSUES, DATABASE INTERGRITY, ETC. • MONITOR ALERTS AND TAKE CORRECTIVE ACTION OR ESCALATE ISSUES. • RESOLVE DATABASE REQUESTS AND ISSUES. • PERFORM DATABASE TUNING FOR OPTIMAL PERFORMANCE. • WORK CLOSELY WITH DEVELOPMENT AND NETWORK TEAMS ON RESOLVING ISSUES. • MAINTAIN DOCUMENTATION OF SYSTEMS AND STANDARD OPERATING POLICIES AND PROCEDURES. • ASSOCIATE IN THE DEVELOPMENT OF PARLIAMENTARY ELECTIONS SCHEDULES FOLLOW-UP AND THE RESULTS. • PARTICIPANTS IN THE INFORMATION SYSTEMS INTEGRATION PROJECT IN THE MINISTRY OF EDUCATION. • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND APPLICATION FOR SYRIAN REFUGEES CRISIS INFORMATION SYSTEM • PARTICIPANT IN THE LAMP (LITERACY ASSESSMENT AND MONITORING PROGRAM) –UNESCO • PARTICIPANT IN THE OUT OF SCHOOL CHILDREN STUDY – WITH UNICEF AND UNESCO • PARTICIPANT IN THE DEVELOPMENT OF THE DIRECTORATE AND THE SCHOOL (SDDP), • PARTICIPANT IN WORKSHOP FOR CHANGE MANAGEMENT –USAID • PARTICIPANT IN WORKSHOP FOR STATISTICAL INFORMATION –UNESCO &ALECSO- TUNIS • PARTICIPANT IN WORKSHOP FOR MONITORING AND EVALUATION -USAID • DESIGN AND CONSTRUCTION OF APPROPRIATE EDUCATIONAL POLICIES. • ADVANCED COURSE IN LEADERSHIP IN STRATEGIC COMMUNICATION • ADVANCED COURSE IN USING SPSS FOR DATA ANALYSIS • ADVANCED COURSE IN USING SPSS FOR DEMOGRAPHIC HEALTH SURVEYS • DESIGNER STATISTICAL SOFTWARE ESPECIALLY IN THE CAMPAIGN PROVIDES YALA MAY IN AMMAN IN 2009. • WEB SITE DEVELOPER AND DESIGN • PREPARE AND PARTICIPATE IN WORKSHOPS, INTERNATIONAL INDICATORS AND STRATEGIC PLANNING AND THE USE OF SOFTWARE AND DEVELOPMENT • PROGRAMMER IN PLANNING DIVISION SINCE 1/2004 • TEACHER FOR COMPUTER AND CHEMISTRY FROM 8/1995 • TRAINER FOR VISUAL BASIC.NET ADO.NET ASP.NET AND ICDL CERTIFICATE الاسم: شعبان يوسف محمد القصاص هاتف: 0799455189 فاكس :5666492 الجنسية: أردني العنوان: الأردن -عمان البريد الالكتروني: SHBNQ422@YAHOO.COM WWW.SHAABANALQASSAS.COM المؤهل العلمي: دبلوم عالي في تكنولوجيا المعلومات الجامعة الأردنية بكالوريوس كيمياء و حاسوب من جامعة اليرموك الأردنية عام 1993 شهادة مطور برمجيات ميكروسوفت من شركة ميكروسوفت العالمية ( MCAD .NET ) MS SQL server DATABASE 2005-2008-2012-2014 /ASP.NET/ ADO.NET/ VB.net C#: MVC : LINQ PHP ; MYSQL DATABASE دورة "أخصائي تكنولوجيا معتمد من مايكروسوفتMCTS MS - SQL SERVER REPORTING SERVICE –OLAP-BI MS ANALYSIS SERVICE System administrator Joomla website developer شهادةNETWORK + الدولية في شبكات الحاسوب شهادة التعليم للمستقبل INTEL لحوسبة التعليم شهادةA+ الدولية في صيانة الحاسوب شهادة نظم إدارة المعلومات التربوية EMIS وشهادة الخرائط الجغرافية GIS تدريب متخصص ArcGIS10.1 (I) شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (II) شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (III) performing analysis شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (building geodatabase) شركة ESRI العالمية تدريب متخصص SharePoint إدارة وتطوير GEOMEDIA PROFESSIONAL GIS GEOMEDIA WEBMAP GIS GEOMEDIA TRANSPORTAION GIS دورة استخدام برمجيات المؤشرات والتحليل الاحصائي devinfo spectrum -- دورة متخصصة في اساليب حساب معدل النمو السكاني / دائرة الاحصاءات العامة دورة متخصصة في الاستكمال الديمغرافي / دائرة الاحصاءات العامة دورة متخصصة في قياس الهجرة / دائرة الاحصاءات العامة دورة متخصصة في الخصوبة / دائرة الاحصاءات العامة دورة متخصصة في قياس مستويات وانماط الوفاة / دائرة الاحصاءات العامة دورة متخصصة في برمجية الاسقاطات السكانية / دائرة الاحصاءات العامة Adobe program (graphics & design) تصميم مواقع الانترنت باستخدام Dream Waver استخدام برمجية SPSS في التحليل الاحصائي دورة متقدمة في التخطيط الاستراتيجي واعداد المؤشرات دورة متخصصة في اعداد الاسقاطات في الازمات والتخطيط الاستراتيجي - يونيسكو دورة متقدمة في التحليل الديمغرافي المعمق U.S.BUREAU OF CENSUS دورة متقدمة في الاسقاطات السكانية U.S.BUREAU OF CENSUS الخبرات: • رئيس قسم نظام إدارة المعلومات التربوية EMIS والخرائط GIS في وزارة التربية • رئيس قسم التخطيط والاحصاء التربوي في وزارة التربية والتعليم من تاريخ 2006 . • اعداد والمشاركة في ورش المؤشرات الدولية والتخطيط الاستراتيجي واستخدام برمجياتها وتطويرها • مشرف في الاحصاءات العامة للسكان في المملكة للعام 2004 ومصمم برمجيات احصائية. • تطوير مواقع انترنت الجغرافية باستخدام تقنية GIS SILVERLIGHT asp.net • تطوير مواقع انترنت الجغرافية باستخدام تقنية GIS flex • اخصائي قواعد بيانات في الهيئة المستقلة للانتخاب –الأردن • مدير فريق تطوير نظام إدارة المعلومات التربوي والمؤشرات التربية ERSP • مدير فريق تطوير نظام إدارة المعلومات التربوي والمؤشرات التربية OpenEMIS • مشارك في تطوير قواعد بيانات و معلومات الطلبة اللاجئين السوريين • مشارك في ورشة عمل في إدارة التغيير – USIAD • مشارك في ورشة عمل في المتابعة والتقييم - USIAD • مشارك في تطوير قواعد بيانات و برمجيات المؤشرات التربوية باستخدام الخرائط المدرسية GIS • مشارك في الانتخابات النيابية تطوير جداول المتابعة واصدار النتائج. • مشارك في تطوير قواعد بيانات وبرمجيات المعلومات الاحصائية EMIS-Eduwave • مشارك في مشروع تطوير المديرية والمدرسة (SDDP) ورسم وبناء السياسات التربوية . • مشارك في مشروع تكامل انظمة المعلومات في وزارة التربية والتعليم • مشارك في مشروع احصائيات معرفة القراءة والكتابة برنامج تقييم وتتبع مستويات القرائية LAMP • دورة متقدمة في القيادة في استراتيجية الاتصال . جامعة ميتشغان الامريكية • المنسق الوطني لمؤشرات التعليم WEI "World Education Indicator " -UNESCO • مشارك في ورشة عمل الاقليمية حول احصاءات التعليم – معهد اليونسكو للاحصاء • مصمم برمجيات احصائية خاصة في حملة يالا نوفر مي في عمان للعام 2009 • مطور ومصمم مواقع انترنت • مبرمج في قسم التخطيط في مديرية التربية والتعليم .تطوير برامج الحاسوب لحوسبة أعمال القسم من تاريخ 2004 • مدرس لمادتي الكيمياء والحاسوب للمرحلة الثانوية والأساسية من تاريخ 1995 • مدرب لبرمجية visual basic .net asp.net ado.net من تاريخ 2004 • مدرب لشهادة الحاسوب الدولية ICDL)) من تاريخ 2001

Trends-in-Programming-Languages We’re always staying on the pulse of the software development industry so that we can better prepare our students for rapidly – changing technology job market. Many of the students and developers in general are interested in working at top startups and tech companies. How can we tell what programming languages and technologies are used by the most people? How about what languages are growing, and which are shrinking so that we can tell which are most worth investing time in? One excellent source of data is Stack Overflow, a programming question and answer site with more than 16 million questions on programming topics. By measuring the number of questions about each technology, we can get an approximate sense of how many people are using it. We're going to use open data from the Stack Exchange Data Explorer to examine the relative popularity of languages like R, Python, Java and JavaScript have changed over time. Each Stack Overflow question has a tag, which marks a question to describe its topic or technology. For instance, there's a tag for languages like R or Python, and for packages like ggplot2 or pandas. The dataset used, contains one observation for each tag in a year. The dataset also includes both the number of questions asked in that tag in the year and the total number of questions asked in that year Rather than just the counts of the tags, the concern here is the percentage change: the fraction of questions that year have that tag What are the most asked - about tags? It's sure been fun to visualize and compare tags over time. The dplyr and ggplot2 tags may not have as many questions as R, but we can tell they're both growing quickly as well. We might like to know which tags have the most questions overall, not just within a particular year. #The TIOBE Programming Community index is an indicator of the popularity of programming languages. The index is updated once a month. The ratings are based on the number of skilled engineers world-wide, courses and third-party vendors. Popular search engines such as Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu are used to calculate the ratings. It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written. (https://www.tiobe.com/tiobe-index/) Comparing R and Python There is a lot of heated discussion over the topic, but there are some great, thoughtful articles as well. Some suggest Python is preferable as a general-purpose programming language, while others suggest data science is better served by a dedicated language and toolchain. The origins and development arcs of the two languages are compared, often to support differing conclusions. For individual data scientists, some common points to consider: • Python is a great general programming language, with many libraries dedicated to data science. • Many (if not most) general introductory programming courses start teaching with Python now. • Python is the go-to language for many ETL and Machine Learning workflows. • Many (if not most) introductory courses to statistics and data science teach R now. • R has become the world’s largest repository of statistical knowledge with reference implementations for thousands, if not tens of thousands, of algorithms that have been vetted by experts. The documentation for many R packages includes links to the primary literature on the subject. • R has a very low barrier to entry for doing exploratory analysis, and converting that work into a great report, dashboard, or API. • R with RStudio is often considered the best place to do exploratory data analysis. (https://blog.rstudio.com/2019/12/17/r-vs-python-what-s-the-best-for-language-for-data-science/)

Data analysis of Global Development Index (World Development Indicators Dataset)

World indicator development is a global individual dataset and in our case we are looking on how countries give out welfare benefits to labor force based on Working hours

World development indicator analysis

A short and sweet analysis of the smoking rate in the world's 5 largest economies. Data from the world bank's development indicators data.

No description available

It's a data analysis project with graphs and stats with predictions to get some predicted results on linerar regression model.

No description available

No description available

Analysis & visualisations of the coverage of the World Development Indicators

A Hive (HPL/SQL + bash) analysis of World Development Indicators dataset

End-to-End Data Science Pipeline for World Development Indicators Analysis.

Analysis of factors that contribute to global and national CO2 emissions, using data from the World Bank’s World Development Indicators.

Economic analysis of carbon emissions in Pakistan using Python. Explore GDP, urbanization, trade impact on CO2 with regression analysis. Data from World Development Indicators.

Performed data wrangling and exploratory data analysis on World Development Indicators, such as GDP, Population, Total Reserve, Aids received, CO2 emissions.

An in-depth and thorough exploration of global economic trends using data obtained from the World Bank's World Development Indicators. Using a combination of statistical and visual analysis, patterns and relationships in economic indicators across countries and continents were meticulously uncovered.

in-depth analysis of global economic indicators, incorporating over 20,000 data points. This extensive dataset was meticulously extracted from the Human Development Index (HDI) and the World Bank databases given by Maven Analytics , both of which are esteemed authorities in the realms of economic and social well-being analysis.

Project Objective Our Objective of this project is to analyze the World Development Indicator Dataset using the K-Means Clustering model to observe trends in world unemployment over the years. We are also focusing on some developing regions in the Middle Eastern and Africa in order to observe trends for some other indicators such as Literacy, Urbanization, Industrialization, etc., and see if we can find any similar patterns between the indicators and observe the big picture. Executive Summary To research about the unemployment in Africa and find out the different factors which are the cause of this unemployment. I tried to find a dataset that would contain the different indicators of unemployment or factors that are causing unemployment in this region. I took the data from Kaggle and explored all the variables and values in detail for data cleaning. I eliminated all the variables that were of less importance for our project analysis. I then preprocessed the data to filter out only the data that aligns with our analysis/data mining process. The main variables are the country, indicator, indicator codes that help us in predicting the impact of that indicator in different regions. I then implement the K-means Clustering and Linear Regression to study the impact of the variables.

The Coronavirus disease (COVID-19) is a contagious disease caused by a virus which first started in China in December. The disease has spread world wide leading to ongoing COVID-19 pandemic. Symptoms of COVID-19 are variable but often include fever, cough, headache, breathing difficulties, loss of smell and taste. Scientific groups are working towards solutions to mitigate the effects of the virus. The COVID-19 pandemic challenged healthcare facilities, with the sheer number of cases resulting in an acute shortage of capacity that constrained healthcare services. It became difficult for health care services to deal with the rising covid cases. This became challenging for every country in the world to win the battle against Covid-19 by increasing the medical requirement. The objective of this research is to analyse the world wide COVID-19 data and to extract the behaviour of COVID-19 waves transmission occurring every year. We analyse the COVID-19 data to predict high covid causalities occurred in the pandemic and apply a suitable machine learning algorithm to see how WDI (world development indicators) are used to group countries. We use Clustering analysis in Machine Learning to predict the casualties. The four Machine Learning algorithms which are used to predict the casualties are K means clustering, Logistic Regression, Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA). The model is used to solve binary and multiclass categories of covid deaths. Logistic regression performed best in doing binary classification achieving an accuracy of 95% and LDA algorithms performed best in multiclass classification with an accuracy of 95% on the test dataset. The COVID-19 pandemic challenged healthcare facilities, with the sheer number of cases resulting in an acute shortage of capacity that constrained healthcare services.

sss Global “Frozen Potato Chip Market” (2022-2028) research report encompasses a thorough in-depth analysis of market size, share, drivers, restraints, and current situation of the global market along with several market dynamics. The report supplies a comprehensive analysis of business aspects like global Frozen Potato Chip market size, recent technological advances, and inventions. The research report consists of an introduction of the market, key players, opportunities, restraints, product and type classification, and overall market analysis. Furthermore, this report includes the approximate overview of different segments in terms of overall growth, development, trend, and business strategies, for the forecast period 2028. Get a sample copy of the report at - https://www.industryresearch.biz/enquiry/request-sample/20644988 The Frozen Potato Chip market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations. According to our (Researchers) latest study, due to COVID-19 pandemic, the global Frozen Potato Chip market size is estimated to be worth USD million in 2021 and is forecast to a readjusted size of USD million by 2028 with a CAGR of % during review period. Quick Service Restaurant accounting for % of the Frozen Potato Chip global market in 2021, is projected to value USD million by 2028, growing at a % CAGR in next six years. While Straight Cut segment is altered to a % CAGR between 2022 and 2028. Global key manufacturers of Frozen Potato Chip include McCain Foods, Lamb Weston, Simplot Foods, Aviko Group, and Kraft Heinz, etc. In terms of revenue, the global top four players hold a share over % in 2021. The Frozen Potato Chip Industry report is compiled with the use of the latest primary and secondary research methodologies and tools providing various analyses that have been comprehended in the report. It gives an explanation of various definitions and segmentation or classifications of the industry, applications of the industry, and value chain structure. The information available in the Frozen Potato Chip market summarized report provides customers with effective information that enables them to make effective decisions, which could lead to a significant expansion of the business in the future. 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Market Segment by Type, Covers: Straight Cut Crinkle Cut Others Market Segment by Application Can Be Divided into: Quick Service Restaurant Household Others Enquire before purchasing this report - https://www.industryresearch.biz/enquiry/pre-order-enquiry/20644988 Key Benefits of This Frozen Potato Chip Market Research: Industry drivers, restraints, and opportunities covered in the study A neutral perspective on the market performance Recent industry trends and developments Competitive landscape and strategies of key players Potential and niche segments and regions exhibiting promising growth covered Historical, current, and projected market size, in terms of value In-depth analysis of the Frozen Potato Chip Market Overview of the regional outlook of the Frozen Potato Chip Market Frozen Potato Chip Market Research/Analysis Report Contains Answers to the following Questions Which Manufacturing Technology is used for Frozen Potato Chip? What Developments Are Going On in That Technology? Which Trends Are Causing These Developments? Who Are the Global Key Players in This Frozen Potato Chip Market? What are Their Company Profile, Their Product Information, and Contact Information? What Was Global Market Status of Frozen Potato Chip Market? What Was Capacity, Production Value, Cost and PROFIT of Frozen Potato Chip Market? What Is Current Market Status of Frozen Potato Chip Industry? What’s Market Competition in This Industry, Both Company, and Country Wise? What’s Market Analysis of Frozen Potato Chip Market by Taking Applications and Types in Consideration? What Are Projections of Global Frozen Potato Chip Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? What Is Frozen Potato Chip Market Chain Analysis by Upstream Raw Materials and Downstream Industry? What Is Economic Impact On Frozen Potato Chip Industry? What are Global Macroeconomic Environment Analysis Results? What Are Global Macroeconomic Environment Development Trends? What Are Market Dynamics of Frozen Potato Chip Market? What Are Challenges and Opportunities? What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Frozen Potato Chip Industry? TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET - REQUEST SAMPLE The content of the study subjects, includes a total of 15 chapters: Chapter 1, to describe Frozen Potato Chip product scope, market overview, market opportunities, market driving force and market risks. Chapter 2, to profile the top manufacturers of Frozen Potato Chip, with price, sales, revenue and global market share of Frozen Potato Chip in 2018 and 2019. Chapter 3, the Frozen Potato Chip competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast. Chapter 4, the Frozen Potato Chip breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2015 to 2020. Chapter 5, 6, 7, 8 and 9, to break the sales data at the country level, with sales, revenue and market share for key countries in the world, from 2015 to 2020. Chapter 10 and 11, to segment the sales by type and application, with sales market share and growth rate by type, application, from 2015 to 2020. Chapter 12, Frozen Potato Chip market forecast, by regions, type and application, with sales and revenue, from 2020 to 2025. Chapter 13, 14 and 15, to describe Frozen Potato Chip sales channel, distributors, customers, research findings and conclusion, appendix and data source. Reasons for buying this report: It offers an analysis of changing competitive scenarios. For making informed decisions in businesses, it offers analytical data with strategic planning methodologies. It offers a seven-year assessment of the Frozen Potato Chip Market. It helps in understanding the major key product segments. Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities. It offers regional analysis of Frozen Potato Chip Market along with business profiles of several stakeholders. It offers massive data about trending factors that will influence the progress of the Frozen Potato Chip Market. Purchase this report (Price 3480 for a single-user license) - https://www.industryresearch.biz/purchase/20644988 With tables and figures helping analyze worldwide Global Frozen Potato Chip market, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market. Detailed TOC of Global Frozen Potato Chip Market 2022 by Manufacturers, Regions, Type and Application, Forecast to 2028 1 Market Overview 1.1 Frozen Potato Chip Introduction 1.2 Market Analysis by Type 1.2.1 Overview: Global Frozen Potato Chip Revenue by Type: 2017 Versus 2021 Versus 2028 1.3 Market Analysis by Application 1.3.1 Overview: Global Frozen Potato Chip Revenue by Application: 2017 Versus 2021 Versus 2028 1.4 Global Frozen Potato Chip Market Size & Forecast 1.4.1 Global Frozen Potato Chip Sales in Value (2017 & 2021 & 2028) 1.4.2 Global Frozen Potato Chip Sales in Volume (2017-2028) 1.4.3 Global Frozen Potato Chip Price (2017-2028) 1.5 Global Frozen Potato Chip Production Capacity Analysis 1.5.1 Global Frozen Potato Chip Total Production Capacity (2017-2028) 1.5.2 Global Frozen Potato Chip Production Capacity by Geographic Region 1.6 Market Drivers, Restraints and Trends 1.6.1 Frozen Potato Chip Market Drivers 1.6.2 Frozen Potato Chip Market Restraints 1.6.3 Frozen Potato Chip Trends Analysis 2 Manufacturers Profiles 3 Frozen Potato Chip Breakdown Data by Manufacturer 3.1 Global Frozen Potato Chip Sales in Volume by Manufacturer (2019, 2020, 2021, and 2022) 3.2 Global Frozen Potato Chip Revenue by Manufacturer (2019, 2020, 2021, and 2022) 3.3 Key Manufacturer Market Position in Frozen Potato Chip 3.4 Market Concentration Rate 3.4.1 Top 3 Frozen Potato Chip Manufacturer Market Share in 2021 3.4.2 Top 6 Frozen Potato Chip Manufacturer Market Share in 2021 3.5 Global Frozen Potato Chip Production Capacity by Company: 2021 VS 2022 3.6 Manufacturer by Geography: Head Office and Frozen Potato Chip Production Site 3.7 New Entrant and Capacity Expansion Plans 3.8 Mergers & Acquisitions 4 Market Analysis by Region 4.1 Global Frozen Potato Chip Market Size by Region 4.1.1 Global Frozen Potato Chip Sales in Volume by Region (2017-2028) 4.1.2 Global Frozen Potato Chip Revenue by Region (2017-2028) 4.2 North America Frozen Potato Chip Revenue (2017-2028) 4.3 Europe Frozen Potato Chip Revenue (2017-2028) 4.4 Asia-Pacific Frozen Potato Chip Revenue (2017-2028) 4.5 South America Frozen Potato Chip Revenue (2017-2028) 4.6 Middle East and Africa Frozen Potato Chip Revenue (2017-2028) 5 Market Segment by Type 5.1 Global Frozen Potato Chip Sales in Volume by Type (2017-2028) 5.2 Global Frozen Potato Chip Revenue by Type (2017-2028) 5.3 Global Frozen Potato Chip Price by Type (2017-2028) 6 Market Segment by Application 6.1 Global Frozen Potato Chip Sales in Volume by Application (2017-2028) 6.2 Global Frozen Potato Chip Revenue by Application (2017-2028) 6.3 Global Frozen Potato Chip Price by Application (2017-2028) 7 North America by Country, by Type, and by Application 7.1 North America Frozen Potato Chip Sales by Type (2017-2028) 7.2 North America Frozen Potato Chip Sales by Application (2017-2028) 7.3 North America Frozen Potato Chip Market Size by Country 7.3.1 North America Frozen Potato Chip Sales in Volume by Country (2017-2028) 7.3.2 North America Frozen Potato Chip Revenue by Country (2017-2028) 7.3.3 United States Market Size and Forecast (2017-2028) 7.3.4 Canada Market Size and Forecast (2017-2028) 7.3.5 Mexico Market Size and Forecast (2017-2028) ………………………………. 12 Raw Material and Industry Chain 12.1 Raw Material of Frozen Potato Chip and Key Manufacturers 12.2 Manufacturing Costs Percentage of Frozen Potato Chip 12.3 Frozen Potato Chip Production Process 12.4 Frozen Potato Chip Industrial Chain 13 Sales Channel, Distributors, Traders and Dealers 13.1 Sales Channel 13.1.1 Direct Marketing 13.1.2 Indirect Marketing 13.2 Frozen Potato Chip Typical Distributors 13.3 Frozen Potato Chip Typical Customers …………………………Continued About Us: Market is changing rapidly with the ongoing expansion of the industry. Advancement in technology has provided today’s businesses with multifaceted advantages resulting in daily economic shifts. Thus, it is very important for a company to comprehend the patterns of market movements in order to strategize better. An efficient strategy offers the companies a head start in planning and an edge over the competitors. Industry Research is a credible source for gaining market reports that will provide you with the lead your business needs. Contact Info: Industry Research Biz Phone: US +1 424 253 0807 UK +44 203 239 8187 Email:sales@industryresearch.biz Web:https://www.industryresearch.biz Our Other Reports: https://www.marketwatch.com/press-release/global-metal-nanoparticles-catalyst-market-2022-key-leaders-analysis-industry-segmentation-latest-trends-and-challenges-opportunities-in-grooming-regions-and-growth-forecast-to-2028-2022-08-17 https://www.marketwatch.com/press-release/global-rotating-table-polishing-machines-market-leading-company-analysis-2022-a-detailed-study-on-business-strategies-development-factors-cagr-future-trends-opportunities-and-demand-outlook-2027-2022-08-17

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The world indicators dataset compares different countries based on selected attributes. The aim of this project is to demarcate distinctions between various countries using cluster analysis.

World development Indicators Analysis - Apache Spark (Databricks)

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Repository containing the project from the Advanced Data Mining course on my studies