Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

“…The data mining process follows the KDD methodology, which includes the stages of selection, preprocessing, transformation, data mining, evaluation and knowledge consolidation. …”
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A Biosocial Perspective to Understand Antimicrobial Prescription Practices: A Retrospective Cross-Sectional Study from a Public Community Health Center in North India by Rashmi Surial, Sundeep Sahay, Vinay Modgil, Arunima Mukherjee, Ritika Kondal Bhandari

“…Data analysis involved triangulating quantitative and qualitative data, to develop a “biosocial” perspective, which can provide implications for the development of antimicrobial stewardship policies, particularly relevant for health institutions in low- and middle-income countries. …”
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Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…These findings position gene pair analysis as a transformative paradigm for mining high-dimensional omics data, with direct implications for precision biomarker discovery and mechanistic studies of disease progression.…”
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Development of a longlist of healthcare quality indicators for physical activity of patients during hospital stay: a modified RAND Delphi study by Philip J van der Wees, Niek Koenders, Stein van den Heuvel, Shanna Bloemen, Thomas J Hoogeboom

“…Phase II was a survey among healthcare professionals to collect additional data. Phase III consisted of three consensus rounds. …”
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Transitioning from Artichoke Fields to a Peri-Urban Settlement: The Role of İzmir Katip Çelebi University by Özge Erbaş Melis, Duygu Okumuş Prini, Yusuf İhsan Yılmaz

“…Thematic coding was employed for analysing collected data, revealing key socio-spatial patterns. Employing both quantitative and qualitative data, this study provides a comprehensive analysis of the impacts of policy misalignment on Balatçık. …”
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Understanding Caregiver Burden in Severe Pediatric Asthma - A Qualitative Study by Wu P, Zhang J, Hu Y

“…The researcher transcribed audio-recorded interview data verbatim into text and thematically analyzed the data using the Colaizzi 7-step analysis method and then obtained the final results.Results: There were a total of 12 participants. …”
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A mixed-method study on awareness, haemoglobin phenotype result accuracy and sickle cell knowledge among parents of children with sickle cell disease in ibadan, Nigeria by Adeniyi Abraham Adesola, David Mobolaji Akoki, Joshua Simpa Lawal, Abigail Olawumi Oyedokun, Oluwatomisin Esther Agboola, Anuoluwapo Agnes Babawale, Biobele Jotham Brown

“…Quantitative data were analysed using IBM SPSS, and qualitative data were thematically analysed to complement the quantitative findings. …”
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Health status of transgender people globally: A systematic review of research on disease burden and correlates. by Ayden I Scheim, Ashleigh J Rich, Dougie Zubizarreta, Mannat Malik, Kellan E Baker, Arjee J Restar, Leigh Ann van der Merwe, June Wang, Bianca Beebe, Kathleen Ridgeway, Stefan D Baral, Tonia Poteat, Sari L Reisner

“…Eligible studies were in English, French, or Spanish and reported original quantitative data on mental health or substance use conditions, infectious diseases, or non-communicable conditions in at least 25 trans individuals aged 15+. …”
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Association between waist-to-height ratio and stroke among American adults: National Health and Nutrition Examination Survey 1999–2023 by Yahui Pan, Yanzhen Sun, Xiaohua Pan

“…Data from NHANES were utilized to explore the association between WHtR and stroke. …”
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Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

“…This study presents the development and deployment of a low-cost multi-sensor data logging system for real-time monitoring of Lagos Lagoon. …”
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Multi-omic characterization of early-onset esophagogastric cancer by Lawrence W. Wu, Sachin Kumar Deshmukh, Sharon Wu, Joanne Xiu, Sung Joo Jang, Jimyung Park, Vincent K. Lam, Emil Lou, Sanjay Goel, Rachna T. Shroff, Ryan H. Moy

“…Real-world overall survival was estimated from insurance claims data. Prevalence of EOEGC was higher in patients who were Black, Asian, Hispanic/Latino, and female. …”
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Seismotectonics and landslides of the NE border of the Calabrian Arc (Southern Italy) by Carlo Tansi, Salvatore Critelli, Michele Folino Gallo, Anna Gervasi, Gianpietro Imbrogno, Mario La Rocca, Michela Ponte, Vincenzo Tripodi, Francesco Muto

“…The geo-structural and geomorphological data were analysed in a geographic information system allowing data management and implementation. …”
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Dietary exposure to creatine-precursor amino acids in the general population by David Nedeljkovic, Sergej M. Ostojic

“…Methods We analyzed NHANES III dietary recall data from 29,945 individuals aged 2 years and older. …”
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Changing snow conditions are challenging moose (Alces alces) surveys in Alaska by Todd J. Brinkman, Kalin A. Kellie, Adele K. Reinking, Glen E. Liston, Natalie T. Boelman

“…With inadequate snow to help generate high‐quality moose survey data, it is difficult for managers to determine if they are effectively meeting population goals and optimizing hunting opportunities. …”
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Recommendations for Successful Development and Implementation of Digital Health Technology Tools by Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

“…Key messages include the need to understand specific health care challenges, form interdisciplinary teams, incorporate patient feedback, select appropriate measurement technologies, ensure data integration and interoperability, apply advanced data science techniques, use scalable designs and open standards, comply with regulatory requirements, and maintain continuous evaluation and improvement. …”
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Charting the landscape of rail human factors and automation: A systematic scoping review by Sarah A. Kusumastuti, Tom H.J. Kolkman, Julia C. Lo, Simone Borsci

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What do people make of “Ecosystem Based Fisheries Management”? by Marie Briguglio, Paulina Ramírez-Monsalve, Glenn Abela, Enrico Nicola Armelloni

“…Yet little attention has been paid to the general public’s awareness or understanding of this term and its implications for marine policy. We employ a unique and representative data set (n=542) from the United Kingdom (UK) and examine (i) the extent to which the public is aware of the concept of Ecosystem Based Fisheries Management, (ii) the demographic correlates of such awareness and understanding, and (iii) whether the public’s understanding converges with scientific notions and regulatory definitions. …”
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Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System Using an Optimal Control Approach by Said Fahim, Hamza Mourad, Mohamed Lahby

“…Using more up-to-date data and incorporating new regulations would help refine the model. …”
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Uninsured Motorists’ Risk Attitudes and Pedestrian Road Safety: Evidence from Metropolitan Lagos, Nigeria by Sunday Stephen Ajemunigbohun, Mrs. Kudirat Adeola Banjo, Mrs Taiwo Olarinre Oluwaleye

“…Using the survey approach cum the two-way sampling techniques comprised of purposive and convenience, data were gathered to analyse the behavioural dispositions of uninsured motorists and their implications on pedestrian road safety. …”
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Examining Individual Tax Morale in Europe with Machine-Learning Methods by Lejla Lazović Pita, Almasa Odžak, Lamija Šćeta

“…Design/Methodology/Approach: Using data from the fifth wave (2017– 2020) of the European Values Survey (EVS), a data-driven, systematic approach employing six ML methods is applied to predict individual tax morale across Europe. …”
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