Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis by Xiangui Lv, Daiqiang Liu, Xinwei Chen, Lvlin Chen, Xiaohui Wang, Xiaomei Xu, Lin Chen, Chao Huang

“…Conclusion Machine learning has been shown to be an effective tool for predicting sepsis-associated acute kidney injury deaths, which has important implications for enhancing risk assessment and clinical decision-making to improve sepsis patient care. It is also eagerly anticipated that future research efforts will incorporate larger sample sizes and multi-centre studies to more intensively examine the external validation of these models in different patient populations, allowing for a more in-depth exploration of sepsis-associated acute kidney injury in terms of accurate diagnostic efficacy across a diverse range of model and predictor types. …”
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Prevalence of Extended-Spectrum Beta-Lactamase (ESBL)–Producing Escherichia coli in Humans, Food, and Environment in Kathmandu, Nepal: Findings From ESBL E. coli Tricycle Project by Jyoti Acharya, Runa Jha, Tulsi Ram Gompo, Sharmila Chapagain, Lilee Shrestha, Nisha Rijal, Anjana Shrestha, Pragya Koirala, Suraj Subedi, Binita Tamang, Hari Prasad Kattel, Bishal Khaniya, Basudha Shrestha, Aruna Karki, Ram Prasad Adhikari, Sanita Kayastha, Prasil Pradhan, Sarada Duwal Shrestha, Bijendra Raj Raghubanshi, Heera Tuladhar, Palpasa Kansakar, Saugat Shrestha, Priyanka Shrestha, Binay Shrestha, Ricardo J. Soares Magalhaes, Manish Kakkar, Arunkumar Govindakarnavar, Allison Gocotano, Reuben Samuel

“…There is, however, limited guidance on how AMR surveillance should be implemented across sectors to generate meaningful AMR and AMU data for decision-making. Using a sympatric approach to cross-sector sample collection, Nepal adopted the WHO extended-spectrum beta-lactamase (ESBL)–producing Escherichia coli (E. coli) Tricycle Project as a step toward OH surveillance for assessing the prevalence of ESBL-producing E. coli across human, veterinary, and environment sectors. …”
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Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food by Juan-Jesús Marín-Méndez, Paula Luri Esplandiú, Miriam Alonso-Santamaría, Berta Remirez-Moreno, Leyre Urtasun Del Castillo, Jaione Echavarri Dublán, Eva Almiron-Roig, María-José Sáiz-Abajo

“…However, conventional methodologies are time-consuming, require the use of chemical products and the sample cannot be recovered. We hypothesize that the nutritional value of heterogeneous food products can be readily measured instead by using hyperspectral imaging systems (NIR and VIS-NIR) combined with mathematical models previously fitted with spectral profiles.118 samples from different food products were collected for building the predictive models using their hyperspectral imaging data as predictors and their nutritional values as dependent variables. …”
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Antimicrobial resistance among WHO priority pathogens in community settings and understanding the perception and determinants leading to antimicrobial (mis)use in rural settings of... by Debaprasad Parai, Dr Debaprasad Parai, Dr. Ashis Nayak, Dr. Matrujyoti Pattnaik, Dr. Sanghamitra Pati

“…Among diarrheal stool samples, Diarrhoeagenic Escherichia coli (DEC) was the most prevalent (43.47%) followed by V. cholerae (6.52%). …”
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Exploring perceptions and awareness of artificial light: A qualitative study among medical and non-medical college students in an urban area of Southern India by Mithra Prasanna, Thapar Rekha, Mallya Ajay, Prabhakar Madhu Malar, Pandey Sonali, Agrawal Yash, Vats Anmol, Agarwal Shreya, Maurya Sarthak, Patel Sneha, Mohanty Marmit, Hooda Divya

“…Conclusion: The findings emphasise the need for greater awareness of the implications of artificial light use, promoting healthier practices and informed decisions among students. Educational initiatives and public health strategies should focus on promoting healthier practices and informed decisions to mitigate its risks. …”
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Analysis of the Impact of Effectiveness of Media (Seda-va-Sima) Advertisement on the Extent of Consumers’ Urge to Consume National Commodities by Abolfazl Danaei

“…Using Cochran formula, 384 people were selected as the statistical sample. In order to gather data, a researcher-made questionnaire with 61 questions was used. …”
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Lived Experiences of Sexual and Gender Minorities in Solid Organ Transplantation: A Best-Fit Framework Synthesis and Inductive Thematic Analysis by Murdoch Leeies, Carmen Hrymak, David Collister, Emily Christie, Karen Doucette, Ogai Sherzoi, Tricia Carta, Ken Sutha, Cameron T. Whitley, Tzu-Hao Lee, Matthew J. Weiss, Sonny Dhanani, Julie Ho

“…Limitations: While thematic saturation was achieved with our sample, we recognize that not all SGM identities were represented. …”
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Awareness among Women about Epidural Analgesia in Riyadh, Saudi Arabia by Sarah W. Alnosaier, Asrar A. Alahmadi, Sarah W. Alnafe, Bandar S. Alshehry

“…Results: The research sample consisted of 392 women. The majority of participants were between 21 and 40 years of age. …”
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Characteristics of gut and lung microbiota in patients with lung masses and their relationship with clinical features by Yanping Yang, Jiacheng Shen, Sulan Wei, Maosong Ye, Xing Zhao, Jian Zhou, Lin Tong, Jie Hu, Yuanlin Song, Shengdi Wu, Nuo Xu

“…Methods A total of 238 fecal samples and 34 BALF samples were collected from patients with benign and malignant masses and then analyzed by 16 SrRNA. …”
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Phosphorus transitions driven by cyclone biparjoy linked middle east North Africa (MENA) and Indian Thar Desert dust storm pathways in Asia’s largest grassland by Rupak Dey, Seema B. Sharma, Mahesh G. Thakkar, Ranjit Kumar Sarangi, Abhiroop Chowdhury, Aliya Naz

“…It is located in the arid tract of western India. Soil samples were collected from 10 × 10 km grid locations in the grassland before, 48 h after, and 20 days after a cyclonic storm, Biparjoy, which hit the region in June 2023. …”
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Sustainable rurality in the Mousa Abad watershed of Torbat Jam County by Amir Moradi, Mahdi Kolahi

“…According to the Cochran formula, 228 households were selected as the samples. Based on the sample houses on the map, they were random systematically surveyed. …”
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An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

“…The Irish WQI dataset used in the study includes 29,159 samples spanning over 15 years. Each data sample records 11 (eleven) water quality parameters and the corresponding measurement and classification of WQI, calculated using three traditional WQI models, namely, CCME, Brown, and SRDD. …”
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Assessment of Fraud Deterrence and Detection Procedures Used in a Web-Based Survey Study With Adult Black Cisgender Women: Description of Lessons Learned and Recommendations by Amber I Sophus, Jason W Mitchell

“…MethodsData for this study came from a cross-sectional web-based survey that examined factors associated with potential pre-exposure prophylaxis use among a convenience sample of adult Black cisgender women from 3 metropolitan areas in Texas. …”
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Mitochondria-associated programmed cell death: elucidating prognostic biomarkers, immune checkpoints, and therapeutic avenues in multiple myeloma by Gongzhizi Gao, Jiyu Miao, Yachun Jia, Aili He, Aili He, Aili He

“…Model performance was evaluated using calibration curves, receiver operating characteristic (ROC) analysis, and decision curve analysis (DCA). Finally, associations between prognostic genes and immune cell infiltration/drug responses were explored.Results2,192 DEGs were detected between MM and control samples. 30 candidate genes were identified at the intersection of DEGs, 1,136 MRGs, and 1,548 PCDRGs. …”
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External quality assessment for molecular detection of sand fly-borne phleboviruses circulating in the Mediterranean Basin by Nazli Ayhan, Cecile Baronti, Laurence Thrion, Gioia Bongiorno, Carla Maia, Remi N. Charrel, CLIMOS WP2 Phlebovirus Working Group

“…The External Quality Assessment (EQA) reported herein was organized within the framework of the European Union CLIMOS (EU Climate Monitoring and Decision Support Framework for Sand Fly-borne Diseases Detection and Mitigation) project. …”
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Implementation of genomic surveillance of SARS-CoV-2 in the Caribbean: Lessons learned for sustainability in resource-limited settings. by Nikita S D Sahadeo, Soren Nicholls, Filipe R R Moreira, Áine O'Toole, Vernie Ramkissoon, Charles Whittaker, Verity Hill, John T McCrone, Nicholas Mohammed, Anushka Ramjag, Arianne Brown Jordan, Sarah C Hill, Risha Singh, Sue-Min Nathaniel-Girdharrie, Avery Hinds, Nuala Ramkissoon, Kris V Parag, Naresh Nandram, Roshan Parasram, Zobida Khan-Mohammed, Lisa Edghill, Lisa Indar, Aisha Andrewin, Rhonda Sealey-Thomas, Pearl McMillan, Ayoola Oyinloye, Kenneth George, Irad Potter, John Lee, David Johnson, Shawn Charles, Narine Singh, Jacquiline Bisesor-McKenzie, Hazel Laws, Sharon Belmar-George, Simone Keizer-Beache, Sharra Greenaway-Duberry, Nadia Ashwood, Jerome E Foster, Karla Georges, Rahul Naidu, Marsha Ivey, Stanley Giddings, Rajini Haraksingh, Adesh Ramsubhag, Jayaraj Jayaraman, Chinnaraja Chinnadurai, Christopher Oura, Oliver G Pybus, Joy St John, Gabriel Gonzalez-Escobar, Nuno R Faria, Christine V F Carrington

“…The COVID-19 pandemic highlighted the importance of global genomic surveillance to monitor the emergence and spread of SARS-CoV-2 variants and inform public health decision-making. Until December 2020 there was minimal capacity for viral genomic surveillance in most Caribbean countries. …”
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Patient-centered outcomes on preparing for and undergoing gender-affirming phalloplasty: a qualitative, descriptive study by Daphna Harel, Asa Radix, Rachel Bluebond-Langner, Tenny R Zhang, Carolyn A Berry, Nnenaya Mmonu, Elijah Castle, Lee Zhao, Clarissa Ospina-Norvell, Mark Fendrick

“…Limitations include small sample size and bias in patient selection.Conclusions We conducted focus groups with 18 patients before/after undergoing gender-affirming phalloplasty/metoidioplasty. …”
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Dual-Emitting Molecularly Imprinted Nanopolymers for the Detection of CA19-9 by Eduarda Rodrigues, Ana Xu, Rafael C. Castro, David S. M. Ribeiro, João L. M. Santos, Ana Margarida L. Piloto

“…Accurate and continuous quantification of CA19-9 in patient samples is critical for effective clinical management. …”
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The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

“…Each dataset will be split into 80% training and 20% test samples. Logistic regression, support vector machines, random forests, and decision trees will be used. …”
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Community health worker-facilitated telehealth for moderate-severe hypertension care in Kenya and Uganda: A randomized controlled trial. by Matthew D Hickey, Asiphas Owaraganise, Sabina Ogachi, Norton Sang, Erick M Wafula, Jane Kabami, Nicole Sutter, Jennifer Temple, Anthony Muiru, Gabriel Chamie, Elijah Kakande, Maya L Petersen, Laura B Balzer, Diane V Havlir, Moses R Kamya, James Ayieko

“…Our study was limited by its small sample size, although findings are strengthened by being conducted in three primary health centers across two countries.…”
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