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Decision-Support Tool for Prevention and Control of Rift Valley Fever Epizootics in the Greater Horn of Africa

2010 American Journal of Tropical Medicine and Hygiene  
Diagnostic laboratories Ensure national/regional veterinary diagnostic laboratories have allocated time and space for RVF sample analysis Rumour log Maintain rumour log and communication channels  ...  RVF in livestock by active searching and/or rumours from herders (continued) Category Activity Explanation Surveillance PDS for early outbreak detection Mosquito swarms-Expand coverage to include  ... 
doi:10.4269/ajtmh.2010.83s2a03 pmid:20682910 pmcid:PMC2913494 fatcat:4lyc6iqcdfg2bgmlwkf7zuhbsi

Crime Detection and Prevention using Social Network Analysis

Shikhar Gupta, Sanjeev Kumar
2015 International Journal of Computer Applications  
Fuzzy Rules base governing the crime detection (Canonical form) A fuzzy rule base R governing the crime detection system are given below: 14.  ...  Graphical Representation of rule base governing the crime detection The fuzzy sets, which characterizes input and output in this section are: RESULT CONCLUSION We have proposed techniques of future  ... 
doi:10.5120/ijca2015906065 fatcat:kj7ut6xpdbfeljs75xj2jtpppi

Named Entity Recognition in Social Media Data

Archisha Sharma, Shruti Shreya, Shrishail Terni
2022 International Journal for Research in Applied Science and Engineering Technology  
The fields in which Named Entity Recognition is used for analysis of data provided from various social media sites, include rumour detection, controversy detection, sentiment analysis, medical field (such  ...  It is now easier for anyone to convey their opinions and information without any kind of authentication, rumours have multiplied as social media is now one of the commonly used media in the entire world  ...  In the current environment, tweets are the most commonly used in various fields linked to social media data analysis, including hate-speech detection, rumour detection, cyber-bully detection, opinion mining  ... 
doi:10.22214/ijraset.2022.46181 fatcat:7t2mmuqgqzawpemwz5zl2u7wie

Data science, big data and granular mining

Sankar K. Pal, Saroj K. Meher, Andrzej Skowron
2015 Pattern Recognition Letters  
In the recent past, evolution of research interest has cropped up a relatively new area called, granular computing (GrC), due to the need and challenges from various domains of applications, such  ...  In the article "A new method for constructing granular neural networks based on rule extraction and extreme learning machine", the authors X. Xu, G. Wang, S. Ding, X. Jiang and Z.  ...  In their article titled "Fuzzy-rough community in social networks", a novel algorithm for community detection in a social network is described.  ... 
doi:10.1016/j.patrec.2015.08.001 fatcat:32pup546rbhtbdsk33kxry6yvq

Disinformation in Poland: Thematic classification based on content analysis of fake news from 2019

Klaudia A. Rosińska
2021 Cyberpsychology: Journal of Psychosocial Research on Cyberpspace  
Among discussed conclusions is the dominance of content related to the government, Catholic Church, and LGBT issues in the Polish context, as well as the longevity of health-based fake news, especially  ...  this type of disinformation, with the following thematic categories identified in the process: political and economic; social; gossip/rumour; extreme; pseudo-scientific; worldview; historical; and commercial  ...  My gratitude goes to the Institute of Media Education and Journalism at the Cardinal Stefan Wyszynski University in Warsaw for its financial support of this publication.  ... 
doi:10.5817/cp2021-4-5 fatcat:bjroymojrbfltmoul2u4tuojty

Community engagement for malaria elimination in contested areas of the Karen/Kayin State, Myanmar: A case study on the Malaria Elimination Task Force

Andrea König, Ladda Kajeechiwa, May Myo Thwin, Suphak Nosten, Saw Win Tun, Decha Tangseefa, François Nosten
2018 Wellcome Open Research  
in program activities, such as early detection and treatment, malaria blood surveys and mass drug administration.  ...  For the second, creating mutual understanding meant to spend time learning about villagers' lifeworlds and adapting engagement accordingly to create understanding of the program in resonance with these  ...  Acknowledgements We would like to express our gratitude to all METF members who took part of their valuable time to participate in an interview for this study or provide feedback on our work.  ... 
doi:10.12688/wellcomeopenres.13965.1 fatcat:2if3nebp35gdlm6btf76paur4i

An Automated Framework for Brain Tumour Class Detection

B Nandan, Kunjam Nageswara Rao
2018 International Journal of Engineering & Technology  
Thus, this work proposes a novel automated framework for detection of tumour types by deploying progressive segmentation and model the growth stages based on features.  ...  The human knowledge is prone to error and often criticized for longer time delay for processing information in disease detections.  ...  Henceforth, this section of the work elaborates on the rule-based algorithm for tumour class detection. The final analysis of the rule engine is visualized here [Fig -9 ].  ... 
doi:10.14419/ijet.v7i4.17930 fatcat:lspvhx7tijgd5ltzm373kmzb3u

"Nine Dimensions": A multidisciplinary approach for community engagement in a complex postwar border region as part of the targeted malaria elimination in Karen/Kayin State, Myanmar

Decha Tangseefa, Krishna Monthathip, Naruemol Tuenpakdee, Andrea König, Ladda Kajeechiwa, May Myo Thwin, Suphak Nosten, Saw Win Tun, Kayin Ma, Ahmar Hashmi, Khin Maung Lwin, Phaik Yeong Cheah (+2 others)
2019 Wellcome Open Research  
(rumour); vi) relationship with the health care system; vii) migration; viii) logic of capitalism influencing openness; and ix) power relations.  ...  Thematic analysis was used to construct the nine dimensions for CE in this complex, post-war region: i) history of the people; ii) space; iii) work; iv) knowledge about the world; v) intriguing obstacle  ...  We would like to thank Dr Akira Kaneko for attending a CE workshop along the border. We would also like to thank the TME CE staff for agreeing to participate in this important work.  ... 
doi:10.12688/wellcomeopenres.14698.2 pmid:30687790 pmcid:PMC6343222 fatcat:zcujsavdqrezhll6uzqg4f6yw4

Geometric algorithms for sensor networks

J. Gao, L. Guibas
2011 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
This paper surveys the use of geometric methods for wireless sensor networks.  ...  The close relationship of sensor nodes with their embedded physical space imposes a unique geometric character on such systems.  ...  Double-rulings schemes can also be defined in the virtual coordinates space [113] or in a probabilistic manner (as in rumour routing [114] ).  ... 
doi:10.1098/rsta.2011.0215 pmid:22124080 fatcat:2m3bwwdjnramzcrtkjip6om3t4

When governments spread lies, the fight is against two viruses: A study on the novel coronavirus pandemic in Brazil [article]

Priscila Biancovilli, Claudia Jurberg
2020 medRxiv   pre-print
We used content analysis to classify the texts into categories, and three types of rumours were identified: Misleading content; fabricated content; false context.  ...  Wrong information was mostly published in text format (47%).  ...  For example, if the media dedicates a lot of space in their coverage to talk about health, then the population will consider this issue to be of greater relevance.  ... 
doi:10.1101/2020.10.20.20215962 fatcat:w7zuq4ailfdg3bg3fhwdsh37m4

Bully/victim problems in school: Facts and intervention

Dan Olweus
1997 European Journal of Psychology of Education  
Explanations ofthe positive results include changes in the opportunity and reward "structures" for bullying behaviour.  ...  It is argued that it is a fundamental democratic right for a child to be spared the oppression and repeated humiliation implied in bullying.  ...  Grant Foundation, USA, the Norwegian Ministry of Children and Family Affairs, the Norwegian Research Council for Social Research (NAVFl, and in earlier phases, from the Swedish Delegation for Social Research  ... 
doi:10.1007/bf03172807 fatcat:ztylrgaycbamfbazct2fua6xsq

Beyond facts – a survey and conceptualisation of claims in online discourse analysis

Katarina Boland, Pavlos Fafalios, Andon Tchechmedjiev, Stefan Dietze, Konstantin Todorov, Philipp Cimiano
2022 Semantic Web Journal  
Knowledge-based approaches, in particular works in knowledge base construction and augmentation, are concerned with mining, verifying and representing factual knowledge.  ...  Related tasks include fact-checking, stance detection and argumentation mining.  ...  The survey focuses on datasets for rumour detection, as well as existing tools for accessing, collecting and annotating social media data for the purposes of automated rumour detection.  ... 
doi:10.3233/sw-212838 fatcat:pnjxajjx75g3lpefg7qfitu6ya

Bullyspoiler: Detect and Block Cyberbullying Tweet and Bully using Deep Learning

Soundararajan K, Pathmapriya S, Rajashree R, Sujitha J
2022 Irish Interdisciplinary Journal of Science & Research  
This paper proposed a system for computerized detection and prevention cyberbullying thinking about the primary traits of cyberbullying such as intention to damage an character, repeatedly and over time  ...  possibilities for cyberbullying activities.  ...  for cyberbullying detection.  ... 
doi:10.46759/iijsr.2022.6209 fatcat:av2meretkbhybozkvivfqk66au

Fake news identification

Peter Racsko
2021 Society and Economy  
As contemporary people receive the majority of information from electronic publications, in many cases fake information can seriously harm people's health or economic status.  ...  This article will analyze the question of how up-to-date information technology can help detect false information.  ...  If a fake news detection program was trained on political data, it will not be accurate on health news.  ... 
doi:10.1556/204.2021.00020 fatcat:goexzha7krb2je2uzu6s54lroi

Early detection of emergency events from social media: a new text clustering approach

Lida Huang, Panpan Shi, Haichao Zhu, Tao Chen
2022 Natural Hazards  
Emergency events require early detection, quick response, and accurate recovery. In the era of big data, social media users can be seen as social sensors to monitor real-time emergency events.  ...  This paper proposed an integrated approach to detect all four kinds of emergency events early, including natural disasters, man-made accidents, public health events, and social security events.  ...  These events are not in our detection list, but they were still detected because we adopted some common seed words for public health events.  ... 
doi:10.1007/s11069-021-05081-1 pmid:35095194 pmcid:PMC8782712 fatcat:az7td3tohvbqxp7v6iuxyaqz7a
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