Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study by Saiedeh Sadat Hajimirzaie, Najmeh Tehranian, Amin Golabpour, Ahmad Khosravi, Seyed Abbas Mousavi, Afsaneh Keramat, Mehdi Mirzaii

“…To better diagnose individuals at risk of postpartum complications, predictive models utilizing data mining and machine learning techniques can be instrumental. …”
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Insulin resistance, cognition, and functional brain network topology in older adults with obesity by Clayton C. McIntyre, Robert G. Lyday, Yixin Su, Barbara Nicklas, Sean L. Simpson, Gagan Deep, Shannon L. Macauley, Christina E. Hugenschmidt

“…An executive function composite score, summed scores to the Auditory Verbal Learning Test (AVLT) trials 1–5, and functional brain networks generated from resting-state functional magnetic resonance imaging data were outcomes in analyses. …”
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Enhancing clinical practice through action research: fostering a person-centred culture in healthcare by Elizabeth Rosted, Elizabeth Rosted, Helle Gert Christensen, Tina Lanther, Brendan McCormack, Mette Kjerholt

“…Data were analysed using thematic analysis.ResultsFive themes were generated from the data (1) We have learned a lot in relation to PCP; (2) The PCP framework is complex and difficult to understand and get hold of; (3) When implementing a person-centred framework, the overall context of the departments is important; (4) Psychological safety is important; (5) Values and Beliefs.ConclusionOverall, the study findings showed outcomes arising from the development of a caring culture towards one that is more person-centred. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…Traditional machine learning algorithms frequently experience overfitting when processing high-dimensional time-series data or substantial numbers of outliers, impeding the accurate prediction of various vegetation metrics. …”
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School leadership practice at faith-based schools through a servant leadership lens by Melese Shula, Chris van Wyk, Jan Heystek

“…The interviews with these participants were audiotaped and transcribed, and the data analysed by using a process of abductive data analysis. …”
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Prediction of Weld Geometry in Laser Overlap Welding of Low-Carbon Galvanized Steel by Kamel Oussaid, Narges Omidi, Abderrazak El Ouafi, Noureddine Barka

“…Future improvements may involve integrating real-time sensor data and deep learning techniques to further enhance predictive performance.…”
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An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study. by Alan Karthikesalingam, Omneya Attallah, Xianghong Ma, Sandeep Singh Bahia, Luke Thompson, Alberto Vidal-Diez, Edward C Choke, Matt J Bown, Robert D Sayers, Matt M Thompson, Peter J Holt

“…An artificial neural networks (ANN) approach was used to predict whether patients would be at low- or high-risk of endograft complications (aortic/limb) or mortality. Centre 1 data were used for training and centre 2 data for validation. …”
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Aerial remote sensing system to control pathogens and diseases in broccoli crops with the use of artificial vision by Darwin Laura, Elsa Pilar Urrutia, Franklin Salazar, Jeanette Ureña, Rodrigo Moreno, Gustavo Machado, Maria Cazorla-Logroño, Santiago Altamirano

“…The YOLO v5x algorithm demonstrated high accuracy in image analysis, reducing false detections. The system's autonomous drone efficiently covered large crop areas, providing precise geolocation data for targeted interventions. …”
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A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion by Lanfei He, Xuefei Zhang, Zhiwei Li, Peng Xiao, Ziming Wei, Xu Cheng, Shaocheng Qu

“…The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. …”
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Building resilience through improving groundwater management for sustainable agricultural intensification in African Sahel by L. Ciampi, H. J. Plumpton, H. Osbahr, R. J. Cornforth, Celia Petty

“…Results The data analysis showed that Burkinabe communities are already making some use of groundwater to support their agricultural livelihoods; most do this through accessing groundwater from shallow wells. …”
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Nursing Students’ Perceptions of the Ease of Use and Usefulness of Immersive Virtual Reality Simulation: A Mixed-Methods Study by Hege Vistven Stenseth RN, MNSc, Marit Hegg Reime RN, Cand.Polit., Hilde Sundfær BEd, Camilla Olaussen RN, PhD

“…Quantitative data ( N  = 107) were collected via a postintervention survey. …”
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Fault Diagnosis Method of Forging Press Based on Improved CNN by Chao Yuan, Yunhan Ling, Nan Zhang, Yong Yang, Lidong Pan, Chong Han, Yeyingnan Cao, Hao Zhang, Peng Nie, Hui Ma

“…Specifically, its semi-supervised learning technology exhibits higher generalization ability and diagnostic accuracy when dealing with unlabeled data.…”
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The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review. by Chuxuan Li, Hao Zhang, Yuan Zhang, Jing Shen, Ruopeng An

“…<h4>Background</h4>Predicting basketball game outcomes is a critical area in sports science and data analysis, providing concrete benefits for optimizing coaching strategies, improving team management, and informing betting decisions.…”
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Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions by Shumaila Javaid, Ruhul Amin Khalil, Nasir Saeed, Bin He, Mohamed-Slim Alouini

“…A comprehensive analysis of ISATN components is conducted, assessing how LLMs can effectively address traditional data transmission and processing bottlenecks. …”
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Dampak sosialisasi empat pilar MPR RI terhadap Pendidikan Pancasila di perguruan tinggi by Hastangka Hastangka, Armaidy Armawi, Kaelan Kaelan

“…Analisis data menggunakan pendekatan interpretatif, induksi-analitis, semiotik, dan analisis wacana. …”
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

“…Automating cyber threat intelligence (CTI) collection and analysis in real time is critical for the timely detection and mitigation of cyber threats. …”
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Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector by Germán Rodríguez-Galán, Eduardo Benavides-Astudillo, Daniel Nuñez-Agurto, Pablo Puente-Ponce, Sonia Cárdenas-Delgado, Mauricio Loachamín-Valencia

“…The BotSoul algorithm automated navigation, analyzing 440,000 URLs over 10.9 days with uninterrupted bot operation. The collected data established relationships between visited domains, generated cookies, and captured traffic, providing a solid foundation for security and privacy analysis. …”
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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef by Leila Bahmani, Saied Minaei, Alireza Mahdavian, Ahmad Banakar, Mahmoud Soltani Firouz

“…The experimental results and the associated data analysis presented here show the appropriate use of thermography in identifying meat fraud, which can be suitable for online applications.…”
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Identifying non-traditional electronic datasets for population-level surveillance and prevention of cardiometabolic diseases: a scoping review protocol by Laura N Anderson, Jason D Morgenstern, Reid Rebinsky

“…The secondary objective is to describe the methods, such as machine learning and natural language processing, that have been applied to leverage these datasets.Methods and analysis We will conduct a scoping review following recommended methodology. …”
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Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Considering comprehensive data preliminary processing, FS, and validation, ELNET-BDE outperforms existing methods. …”
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