Personalized Learning Through MBTI Prediction: A Deep Learning Approach Integrated With Learner Profile Ontology by Samia Bousalem, Fouzia Benchikha, Naila Marir

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SPFuzz: A Hierarchical Scheduling Framework for Stateful Network Protocol Fuzzing by Congxi Song, Bo Yu, Xu Zhou, Qiang Yang

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Drug resistance biomarkers in ovarian cancer: a bibliometric study from 2017 to 2022 by Sindy Cabarca, Sindy Cabarca, Carmen Ili, Carlos Vanegas, Laura Gil, Laura Gil, Melba Vertel-Morrinson, Melba Vertel-Morrinson, Priscilla Brebi

“…The search was done in PubMed, selecting documents published over the last 5 years (2017-2022), which were analyzed with the open-source tool Bibliometrix developed in the R package. …”
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Clinical Text De-identification and Other Large Scale Processing Tasks in Resource Constrained Environments by Richard Jackson, Richard Dobson, Robert Stewart

“…Examples of turbo-laser usage include processing 9 million binary documents on modest hardware, within 48 hours. Conclusion Turbo-laser is an enterprise grade processing tool, in keeping with the software engineering pattern of ‘batch processing’ that has been at the forefront of the informatics movement. …”
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Thinking ahead about medical treatments in advanced illness: a qualitative study of barriers and enablers in end-of-life care planning with patients and families from ethnically di... by Islam Zoebia, Pollock Kristian, Patterson Anne, Hanjari Matilda, Wallace Louise, Mururajani Irfhan, Conroy Simon, Faull Christina

“…Effective communication was seen as a key enabler, both in translation between languages and also in the use of accessible concepts and terminologies. …”
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Neural Network Algorithm for Detection of New Word Meanings Denoting Named Entities by Vladimir V. Bochkarev, Stanislav V. Khristoforov, Anna V. Shevlyakova, Valery D. Solovyev

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A Bibliometric Study of Scientific Production on Self-Sovereign Identity by Roberto Albeiro Pava Diaz, Rafael Vicente Paez Mendez, Luis Fernando Niño Vasquez

“…A corpus of 143 articles was examined by processing their bibliographic metadata on a bibliometric tool. In order to do this, the Bibliometrix packageand the R programming language were used. …”
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Cash‐based approaches in humanitarian emergencies: a systematic review by Shannon Doocy, Hannah Tappis

“…We then extracted data from all included studies using a standardized coding tool and critically appraised the studies using existing tools appropriate for the different study designs. …”
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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis by Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri

“…MethodsOur initial sample included 20,000 tweets collected worldwide from a database of over 1.3 million Lyme disease tweets. …”
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Pre-Sleep Arousal Scale (PSAS): Translation and Evaluation of Its Psychometric Properties in an Arabic Version by AlSaleh A, Husain W, Trabelsi K, Ghazzawi H, Ammar A, Saif Z, Pandi-Perumal SR, AlRasheed MM, BaHammam AS, Jahrami H

“…The current study aimed to translate the PSAS into Arabic language and evaluate its psychometric properties, such as reliability and validity, in an Arabic-speaking population.Patients and Methods: A cross-sectional survey was conducted with 438 participants who completed the Arabic version of the PSAS, along with other validated measures of insomnia, anxiety, and sleep effort.Results: The results indicated that the Arabic version of the PSAS maintained the original scale’s two-factor structure. …”
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Intelligibility of speech produced by sighted and blind adults by Lucie Ménard, Pamela Trudeau-Fisette, Mark Kenneth Tiede

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Archaeology of the military orders in Castilla-La Mancha and the virtual reconstruction of its heritage by Jaime García Carpintero López de Mota, David Gallego Valle

“…Conclusions The virtual archaeology is a growing methodology in the heritage management sphere. As a communication tool, it is an excellent language to show ideas to the general and the specialised public. …”
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Criminal justice interventions for preventing radicalisation, violent extremism and terrorism: An evidence and gap map by Michelle Sydes, Lorelei Hine, Angela Higginson, James McEwan, Laura Dugan, Lorraine Mazerolle

“…We placed no limits on study outcomes, language, or geographic location. Data Collection and Analysis Our screening approach differed slightly for the different sources, but all documents were assessed in the systematic review software program DistillerSR on the same final eligibility criteria. …”
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Using Claims Data to Predict Pre-Operative BMI Among Bariatric Surgery Patients: Development of the BMI Before Bariatric Surgery Scoring System (B3S3) by Wong J, Li X, Arterburn DE, Li D, Messenger-Jones E, Wang R, Toh S

“…Findings in prospective test data were similar.Conclusion: The B3S3 is an accessible tool that researchers can use with claims data to obtain granular and accurate predicted values of pre-operative BMI, which may enhance confounding control and investigation of effect modification by baseline obesity levels in bariatric surgery studies utilizing claims data.Plain Language Summary: Pre-operative BMI is an important potential confounder in comparative effectiveness studies of bariatric surgeries.Claims data lack clinical measurements, but insurance reimbursement requirements for bariatric surgery often result in pre-operative BMI being coded in claims data.We used a machine learning pipeline to create a model, the B3S3, to predict pre-operative BMI, as documented in the EHR, among bariatric surgery patients based on the presence of certain weight-related diagnosis codes and other patient characteristics derived from claims data.Researchers can easily use the B3S3 with claims data to obtain granular and accurate predicted values of pre-operative BMI among bariatric surgery patients.Keywords: bariatric surgery, body mass index, confounding variable, comparative effectiveness research, administrative claims, supervised machine learning…”
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Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment by Mohammad Jamshidi, Ali Lalbakhsh, Jakub Talla, Zdenek Peroutka, Farimah Hadjilooei, Pedram Lalbakhsh, Morteza Jamshidi, Luigi La Spada, Mirhamed Mirmozafari, Mojgan Dehghani, Asal Sabet, Saeed Roshani, Sobhan Roshani, Nima Bayat-Makou, Bahare Mohamadzade, Zahra Malek, Alireza Jamshidi, Sarah Kiani, Hamed Hashemi-Dezaki, Wahab Mohyuddin

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Don't get taken for a ride! : designing and Implementing effective autonomous vehicle regulation in Toronto, Ontario by Gillies-Podgorecki, Benjamin M. (Benjamin Marshall)

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Formal Analysis of Post-Quantum Hybrid Key Exchange SSH Transport Layer Protocol by Duong Dinh Tran, Kazuhiro Ogata, Santiago Escobar, Sedat Akleylek, Ayoub Otmani

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MBSE for Civil Aircraft Scaled Demonstrator Requirement Analysis and Architecting by Zhiyang Cui, Mingqiang Luo, Chi Zhang, Yongzhi Hua, Ran Xie, Runxi Yu, Chen Huang

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A systematic review and meta-analysis of adolescent nutrition in Ethiopia: Transforming adolescent lives through nutrition (TALENT) initiative by Mubarek Abera, Abdulhalik Workicho, Melkamu Berhane, Desta Hiko, Rahma Ali, Beakal Zinab, Abraham Haileamlak, Caroline Fall

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Análisis bibliométrico de MEDICC Review. Período 2010-2015 by Ibraín Enrique Corrales-Reyes, Carlos Acosta-Batista, Juan José Reyes-Pérez, Yasmany Fornaris-Cedeño

“…The studied variables were: total of issues, total of articles, citations, self-citations, mean of citations per year, mean of citations per article, mean of citations per author, mean of citations per author per year, mean of number of articles per author, mean of number of authors per article, h index, g index, contemporary h index, individual h index, normalized individual h index, AWCR index, AW index, AWCRpA index, e index, hm index, annual individual h index, H coverage, G coverage, documental typology, authors affiliation, index of Price, languages of the bibliographical references, and SCImago Journal Rank. …”
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