Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from Thailand by Chalita Jainonthee, Panneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, Supitchaya Srisawang, Chanporn Chaosap

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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…Optimization is designed into two scenarios, namely the construction of two distribution centers and three distribution centers. The result show that construction of two distribution centers can be designed at locations D3 and D4 with a total cost of IDR406 280 000 and a maximum service time of 12.002 hours, while the construction of three distribution centers can be done at locations DC1, DC4 and DC 7 or with a total cost of IDR605 363 000 and a maximum service time of 7.4253 hours.This research develops a new mathematical model that optimizes humanitarian aid distribution by balancing the setup cost of distribution centers and minimizing travel time. …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

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Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods by Sisi Li, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, Zongda Jiang

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Investigating the influence of antenatal education on birth beliefs and delivery methods: a prospective cohort study from Turkey by Sadun Sucu, Serap Topkara Sucu, Çağanay Soysal

“…In this study, which had a twofold aim, firstly, the method of birth and birth characteristics were examined between those who attended pregnancy school and those who did not. …”
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Evaluation of machine learning methods for forecasting turbidity in river networks using Sentinel-2 remote sensing data by Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi

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Data-Driven Approach for Intelligent Classification of Tunnel Surrounding Rock Using Integrated Fractal and Machine Learning Methods by Junjie Ma, Tianbin Li, Roohollah Shirani Faradonbeh, Mostafa Sharifzadeh, Jianfeng Wang, Yuyang Huang, Chunchi Ma, Feng Peng, Hang Zhang

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Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods by Shanshan Li, Jiali Wang, Li Zhou, Hui Wang, Xiangyu Wang, Jian Hu, Qingxiu Ai

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Life cycle assessment of active spring frost protection methods in viticulture in the Loire Valley and Champagne French regions by Vincent Baillet, Basile Pauthier, Antoine Payen, Pierre Naviaux, Ronan Symoneaux, Thomas Chassaing, Christel Renaud-Gentié

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Usability and acceptability of a mobile application prototype for managing hypertensive disorders of pregnancy: A mixed methods evaluation by Jennifer Wills, Laura Byham-Gray, Pamela Rothpletz-Puglia, Tenzin Sangmo, Todd Rosen, Shauna Williams, Mafudia Suaray, Shristi Rawal

“…The mean System Usability score was 81 ± 17, indicating good usability. Three themes were identified: high acceptability and usability, the importance of tailored feedback, and the need for real-time provider-patient communication to support treatment decisions. …”
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Addressing the Stigma of Mental Illness in Black Families and Communities in Ontario, Canada: Protocol for a Mixed Methods Study by Joseph Adu, Josephine P H Wong, Priscilla Boakye, Sebastian Gyamfi, Egbe B Etowa, Mark Fordjour Owusu

“…Our study intends to engage individuals living with or affected by mental illness, service providers, and community leaders in Black communities who are interested in stigma reduction activities and advocacy in Ontario, particularly in the Greater Toronto Area (GTA), including Durham and York Regions, London, Ontario, Brampton, and Ottawa. MethodsInformed by population health promotion approaches, critical race theory, and an intersectionality framework underpinned by social justice principles, this mixed methods study will engage individuals of Caribbean and African descent in 5 cities in Ontario. …”
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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…The aim was to establish a reliable method for predicting groundwater quality classification. …”
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How the affordance and psychological empowerment promoting AI-based medical consultation usage: A mixed-methods approach by Song Zhang, Benhao Han, Mengnan Fan

“…Results The research results identified four AIMC affordances (i.e., human–AI interaction, human-like diagnosis, personalized treatment, and health information security) and two usage intentions (i.e., assist health decisions, and relieve health anxiety). The results of the quantitative analysis indicate that the four affordances significantly enhance perceived cognitive empowerment, whereas three affordances (excluding health information security) positively influence perceived emotional empowerment. …”
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One Health policy communities’ perspectives on zoonoses risk factors and management: A multiple qualitative methods approach by Lisset M. Dumet, Erin Kenzie, Julia Goodman, Veronika Merino Osorio, Vanessa Cruz Chavez, Ruth Atto, Percy Vilchez Barreto, Seth O’Neal

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Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study by Hui Shi, Ke Ding, Xue Ting Yang, Ting Fan Wu, Jia Yi Zheng, Li Fan Wang, Bo Yang Zhou, Li Ping Sun, Yi Feng Zhang, Chong Ke Zhao, Hui Xiong Xu

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Putting migration in context: a review of how theory and methods shape climate-induced migration research findings by Matthew Turner, Anika M. Rice, Emily Fornof, Jesse Ribot

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Value chain interventions for improving women's economic empowerment: A mixed‐methods systematic review and meta‐analysis by Suchi Kapoor Malhotra, Swati Mantri, Neha Gupta, Ratika Bhandari, Ralph Nii Armah, Hamdiyah Alhassan, Sarah Young, Howard White, Ranjitha Puskur, Hugh Sharma Waddington, Edoardo Masset

“…Interventions should either moderate their expectations of empowerment goals, or they should be implemented in a way that ensures higher rates of participation among women and the acquisition of greater decision‐making power.…”
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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

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Cancer in English prisons: a mixed-methods study of diagnosis, treatment, care costs and patient and staff experiences by Elizabeth A Davies, Margreet Lüchtenborg, Rachael Maree Hunter, Renske Visser, Jennie Huynh, Ross Pow, Emma Plugge, Rachel M Taylor, Jo Armes

“…Methods We compared cancer diagnoses made in prison between 1998 and 2017 with those made in the general population using a cohort comparison. …”
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