Reverse design of solid propellant grain based on deep learning: Imaging internal ballistic data by Lin Sun, Xiangyu Peng, Yang Liu, Shu Long, Weihua Hui, Ran Wei, Futing Bao

“…This paper conducts comparative experiments across various neural network models, validating the effectiveness of the feature extraction method that transforms internal ballistic time-series data into images, as well as its generalization capability across different CNN architectures. …”
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Transplantation of Human Amniotic Membrane over the Liver Surface Reduces Hepatic Fibrosis in a Cholestatic Model in Young Rats by M. Garrido, C. Escobar, C. Zamora, C. Rejas, J. Varas, C. Córdova, C. Papuzinski, M. Párraga, S. San Martín, S. Montedonico

“…After surgery, animals were sacrificed at different weeks. Biochemical and histopathological analyses of liver tissue were performed. …”
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Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments by Frances Rapport, Jeffrey Braithwaite, Peter D Hibbert, Chiara Pomare, Yvonne Tran, Robyn Clay-Williams, Janet C Long, Virginia Mumford, Johanna Westbrook, Gaston Arnolda, Rebecca Mitchell, Jean-Frédéric Levesque, Richard O Day, Kim Sutherland, Mitchell N Sarkies, Emilie Francis-Auton, Andrew Partington, Hoa Mi Nguyen, Wendy Wu, Henry Cutler, Diane E Watson, Reidar Lystad, George Leipnik, Rebecca Hardwick

“…This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts.Methods and analysis This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Explore the usefulness of different approaches to service delivery and different therapy models. …”
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Public support for unhealthy food marketing policies in Australia: A cross-sectional analysis of the International Food Policy Study 2022 by Clara Gomez-Donoso, Bridget Kelly, Florentine Martino, Adrian J. Cameron, Ana Paula C. Richter, Gary Sacks, Lana Vanderlee, Christine M. White, David Hammond, Kathryn Backholer

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Analyzing collaboration dynamics in new drug R&D: A case study of two lipid-lowering drugs by Nan Zhang, Huaqing Guo, Mengchao Zhang, Chen Wang, Ruonan Tian, Yan Shi, Zhiguang Duan, Zhiguang Duan

“…Academic institutions, pharmaceutical firms, hospitals, foundations, and various other entities across different sectors are now joining forces more frequently to accelerate new drug innovation. …”
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A High-Precision Defect Detection Approach Based on BiFDRep-YOLOv8n for Small Target Defects in Photovoltaic Modules by Yi Lu, Chunsong Du, Xu Li, Shaowei Liang, Qian Zhang, Zhenghui Zhao

“…The existing EL detection methods in PV plants face challenges including grain boundary interference, probe band artifacts, non-uniform luminescence, and complex backgrounds, which elevate the risk of missing small defects. …”
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ADVANTAGES OF PRODUCT QUALITY MANAGEMENT BASED ON CORPORATE INFORMATION SYSTEMS FOR THE GROWTH OF THE AI ECONOMY by Aiperi S. Kachkanbaeva, Kamoliddin T. Juraev, Yury A. Tikhomirov, Svetlana A. Kalitko, Olesya K. Pakhomova

“…The methodological basis of the research is formed by the multidisciplinary and system approaches, which allow combining theoretical and conceptual views of the research problem, which are realised in different scientific spheres: information theory, digital transformation, quality management, theory of organisation, and economic theory. …”
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A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

“…At the same time, the practice of patient science to investigate and understand different intricate climate-driven phenomena is no longer an option. …”
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YES‐associated protein‐regulated Smad7 worsen epithelial barrier injury of chronic sinusitis with nasal polyps by Xiaocong Jiang, Longlan Shu, Yijun Liu, Yang Shen, Xia Ke, Jie Liu, Yucheng Yang

“…Methods Patients were divided into CRSwNP group (n = 12) and control group (n = 9). …”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…Machine learning (ML) models offer potential, but their real-world utility depends on their performance stability across different years. This ability, known as temporal transferability, is often overestimated by standard validation methods, creating a gap between theoretical performance and operational reliability. …”
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BIOMARKERS ROLE IN THE DEVELOPMENT OF SINUS NODE DYSFUNCTION by L. M. Vasilets, A. V. Tuev, O. V. Khlynova, V. V. Vustina, E. A. Ratanova

“…Aim. In patients with different types of sinus node dysfunction (SND), to study inflammation marker levels and assess their value as predictors of SND development. …”
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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…The implementation of different classifiers employed data balancing methods including SMOTE and borderline-SMOTE along with SMOTE ENN and unbalanced data configurations. …”
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Protective role of oleic acid against palmitic acid-induced pancreatic fibrosis by Sonia Frendi, Anaïs Chassac, Killian Veron, Jérôme Raffenne, Rémy Nicolle, Miguel Albuquerque, Valérie Paradis, Anne Couvelard, Jérôme Cros, Vinciane Rebours

“…Both OA and PA are involved in the initiation of acinar cell transformation into ductal cells. OA was found to have a protective effect against PA-induced fibrosis (p < 0.05). …”
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Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc by Shuipang Liu, Zhenhua Xu, Jia You, Peiwen Zhang, Xiaofeng Li, Zhongya Cai

“…In this study, we develop a data‐driven deep learning model, named BiLSTM‐Transformer‐ANN (BILTA). BILTA can learn the underlying processes from the time‐series observations. …”
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Highly Efficient Catalytic Oxidation of Glucose to Formic Acid over Mn-Mo Doped Carbon Nanotube by Hongrui Guo, Fan Yang, Siwei Chen, Hejuan Wu, Jirui Yang, Feng Shen

“…Glyoxylic acid and arabinose were identified as two main intermediates, suggesting that the transformation of glucose into FA over Mn₉Mo₁O_X@MWCNT involved two different paths. …”
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

“…Therefore, we have constructed an interpretable machine learning framework to quantitatively screen key gut flora.MethodsThe 16S rRNA dataset, after applying the centered log-ratio transformation, was analyzed using five different machine learning models: random forest, light gradient boosting machine, extreme gradient boosting, support vector machine with radial kernel, and logistic regression. …”
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The Relationship of Youth Family Values with Hedonism and Eudemonia by I. V. Anoshkin, O. A. Sychev

“…A notable trend in modern society is the transformation of family institution, which has long been considered the most important social and personal value. …”
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Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

“…Finally, conclusions are made that the digital environment significantly influences the information environment around an IT specialist, transforms the perception of time, space, information, methods of communication and self-presentation, and changes the motivational sensory-cognitive involvement in work.…”
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Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones by Andrew P. Creagh, Frank Dondelinger, Florian Lipsmeier, Michael Lindemann, Maarten De Vos

“…This work, therefore, explores how smartphones can administer daily two-minute walking assessments to monitor PwMS physical function at home. <italic>Methods:</italic> Remotely collected smartphone inertial sensor data was transformed through state-of-the-art Deep Convolutional Neural Networks, to estimate a participant&#x0027;s daily ambulatory-related disease severity, longitudinally over a 24-week study. …”
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