Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…Furthermore, a Bayesian Optimization with Tree-structured Parzen Estimators (BO-TPE) will be used to tune the hyperparameters of the models. …”
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Peer support and online cognitive behavioural therapy for substance use concerns: protocol for a randomised controlled trial by Allison Crawford, Claire de Oliveira, Glyn Davies, Lena C Quilty, Gord Garner, Elizaveta Klekovkina, Jeffrey D Wardell, Sarah Elison-Davies, Michael Corman, Jeffrey Alfonsi, John Weekes

“…Results will help to optimise the effectiveness of structured online substance use interventions provided as an adjunct to standard care in hospital-based treatment programmes. …”
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An Overview of Treatment in Pediatric Bladder-bowel Dysfunction: A Single-Center Experience by Mahli Batuhan Özdoğar, Ömer Ergin, Hasan Turan, Özgür Özdemir Şimşek, Özgür Olukman

“…Objective: This study aimed to evaluate the clinical characteristics, treatment responses, and outcomes of pediatric patients diagnosed with bladder-bowel dysfunction, highlighting a structured management approach including urotherapy, pharmacotherapy, and rehabilitation techniques. …”
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Lessons learned from the COVID-19 pandemic: opportunities and challenges to leverage investments in HIV, tuberculosis and malaria for pandemic preparedness and response by Abu Abdul-Quader, Jinkou Zhao, Laurence Slutsker, Kevin M De Cock, Anthony Mounts, Deanna Tollefson, Naisa Rahman, Meng-Yu Chen, Yannick Kamga, Samuel Ngobua, David Lowrance, Joseph S Bresee, Arunmozhi Balajee

“…This manuscript systematically documents how these programmes were used in response to understand both the barriers and facilitators encountered in the process.Methods From March through August 2023, we conducted 72 structured interviews with staff in 13 countries who played central roles in the response. …”
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New approach of PV and thermal modeling to develop feasible cooling solutions for PV in buildings by Cornago Iñaki, Ezquer Mikel, Sorbet Francisco Javier, Kalms Alicia, Diarce Gonzalo, Irulegi Olatz, Zaversky Fritz

“…This work presents a straightforward Building Applied PhotoVoltaic-Thermal element, characterized by its ease of implementation, utilizing conventional photovoltaic modules and standard supporting structures to form a narrow air ventilation channel with the roof of the building. …”
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Impact of gas flaring on acute respiratory distress among pregnant women and newborn babies in Delta State Central Senatorial District, Nigeria by Omatseye Alero Akuirene, John Esimaje Moyegbone, Charity Omoikhekpen Chukumah, Mercy Ebiyemi Kalaroo, Josiah Obaghwerhievwo Adjene, Emmanuel Agbonomhen Agege, Joseph Onyedenyifa Odoko, Ezekiel Uba Nwose

“…Data were statistically analysed with the use of SPSS. …”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…One notable strength of our method is its ability to accurately predict DTA directly from the sequences of the target proteins, obviating the need for protein 3D structures, which are frequently unavailable in drug discovery. …”
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Tough choices: the experience of family members of critically ill patients participating in ECMO treatment decision-making: a descriptive qualitative study by Xiangying Yang, Yao Lin, Amao Tang, Xiaokang Zeng, Weiying Dai, Qian Zhang, Li Ning

“…Methods A descriptive qualitative study. Data were collected using a semi-structured interview method and analysed using traditional content analysis approaches. …”
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Minimally invasive nephrectomy for inflammatory renal disease by Paula Andrea Peña, Lynda Torres-Castellanos, Germán Patiño, Stefanía Prada, Luis Gabriel Villarraga, Nicolás Fernández

“…Our experience supports that releasing the kidney first and leaving the hilum for the end is a safe approach when vascular structures are embedded into a single block of inflammatory and scar tissue.…”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…The most discriminatory variables were responsiveness to levodopa, vertical gaze palsy, and the volumes of subcortical structures, including the red nucleus. Conclusion Machine‐learning‐assisted classification of MR‐imaging biomarkers gathered in routine care can assist in the diagnosis of parkinsonian syndromes as part of the diagnostic workup. …”
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VERY LOW CALORIE DIETS AFFECT LONG TERM WEIGHT LOSS AND HEALTH OUTCOMES: A SYSTEMATIC REVIEW by Sheila Amara Putri, Shintia Yunita Arini, Dominikus Raditya Atmaka, S.Gz, MPH, Ardyanisa Raihan Kusuma, Anisah Firdaus Rahmawati, Mutiara Arsya Wijanarko, Norfezah Md Nor, Nadiatul Syima Mohd Shahid

“…Longer and fewer-calorie VLCDs lead to more significant weight reduction, but maintaining long-term success requires a structured weight management program. VLCD benefits include improved insulin sensitivity, reduced fat, and better heart function, but it may have temporary negative effects on metabolism, aortic elasticity, constipation, sensitivity to cold, headache, and dizziness. …”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…A detailed case study of tungsten (W) demonstrates that data on pure W alone is insufficient for modeling complex defects in uMLIPs, underscoring the critical importance of advanced machine learning architectures and diverse datasets, which include over 100 million structures spanning all elements. …”
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Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals by Caio B. S. Maior, Sandrely P. Silva, Isis D. Lins, Ana Lisa Gomes, Marcio C. Moura

“…Since 2021, the COVID-19 pandemic has affected global health, economies, and societal structures, leading to great attention to new research and awareness. …”
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Development of a family-community interaction programme in the treatment of women with postpartum depression: protocol for a randomised controlled trial by Shanshan Wang, Panpan Wang, Peng Wang, Rui Ma, Di Zhao, Huashan Yang, Panpan Guo, Shiguang Wang, Meilan Niu, Yi Yun, Chuqiao Wu

“…The researchers, after training, will conduct semi-structured interview to collect research data. According to the integration results of qualitative research and literature review, the interaction intervention programme will be constructed and revised using the Delphi expert consultation method. …”
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Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

“…The main advantage of this model lies in that it can effectively leverage the historical and spatial information of the source active regions as well as the interaction information from the surrounding active regions or other structures. This information, which cannot be provided by the data from a single active region alone, is demonstrated to be crucial in predicting solar flares. …”
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From Centralization to Decentralization: Blockchain’s Role in Transforming Social Media Platforms by Bidita Sarkar Diba, Jayonto Dutta Plabon, Nishat Tasnim, Mehjabin Hossain, Durjoy Mistry, Sourav Sarker, M. F. Mridha, Yuichi Okuyama, Jungpil Shin

“…Blockchain is influencing the social media platforms by promising to solve the biggest issues of today, such as privacy concerns and content moderation, and the ability to provide a decentralized system for the management of social media platforms through cryptographic techniques and distributed structures. Conventionally, social media systems are based on central architectures that may indirectly solve the problems of data privacy and platform responsibility since there are increased threats, including identity theft and fake news spread across such systems. …”
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Influencer marketing’s impact on credibility and purchase intention: A study on University of Bisha students in Saudi Arabia by Mudathir Saad, Abdelrehim Awad, Adel Fathy Aziz, Talaat Rashad Shma

“…A descriptive-analytical method was utilized, the research was conducted at University of Bisha, incorporating a structured survey to gather data from 384 university students, both male and female. …”
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Advancing 6G: Survey for Explainable AI on Communications and Network Slicing by Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi, Avishek Nag, Mohadeseh Soleimanpour, Berk Canberk, Huseyin Arslan, Hamed Ahmadi

“…With the evolution of the 6G networks, characterized by ultra-low latency, massive data rates, and intricate network structures, the need for transparency, interpretability, and fairness in AI-driven decision-making has become more urgent than ever. …”
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Taming Mambas for 3D Medical Image Segmentation by Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli

“…CNNs are constrained by a local receptive field, whereas Transformers are hindered by their substantial memory requirements as well as their data hunger, making them not ideal for processing 3D medical volumes at a fine-grained level. …”
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‘A little bit of support really, that's all I was looking for’ a qualitative study of the biographical disruption of fibromyalgia at work in the UK by Martin J. Stevens, Louise Locock, Stefanie Doebl, Zoe C. Skea, Debra Dulake, Gary J. Macfarlane, Rosemary J. Hollick

“…Data were analysed using reflexive thematic analysis. …”
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