YOLO-WTB: Improved YOLOv12n Model for Detecting Small Damage of Wind Turbine Blades From Aerial Imagery by Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan

“…In addition, in the backbone part, we also propose to remove a Convolution module and an Area Attention Concatenate-Convolution-Fusion module and add an improved SoftPool Feature Spatial Pyramid Pooling - Fast module to increase the feature extraction ability while maintaining the complexity of the model. …”
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A Comparative Study of a Deep Reinforcement Learning Solution and Alternative Deep Learning Models for Wildfire Prediction by Cristian Vidal-Silva, Roberto Pizarro, Miguel Castillo-Soto, Ben Ingram, Claudia de la Fuente, Vannessa Duarte, Claudia Sangüesa, Alfredo Ibañez

“…The Transformer model showed a slight advantage over the CNN (99.94%) and Actor–Critic DRL (99.93%) in accuracy. Feature importance analysis identified wind speed, temperature, and vegetation indices as the most influential variables. …”
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Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation by Chunhua Pan, Rui Miao, Qing Zhang, Boting Qu, Xin Wang

“…Falls among elderly individuals and other at-risk populations represent a significant public health concern, underscoring the need for proactive and accessible fall risk assessment methods. …”
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Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

“…This study introduces a Sensitivity-Enhanced Recurrent Neural Network (SERNN) model, featuring a sensitivity gate within the neural network’s memory cell architecture to enhance responsiveness to time-varying variables. …”
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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients by Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang

“…The SHapley Additive exPlanations (SHAP) framework was employed to quantify feature importance.ResultsThe Random Forest model demonstrated superior performance, achieving the highest mean accuracy (0.775) and AUC value (0.860) compared to other models. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Elevations range from 1,500 to 1,730 meters above sea level, while its dry climate and varied topographical features amplify the region's vulnerability to subsidence. …”
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Editorial by Sorana D. BOLBOACĂ, Sebastian-Aurelian ȘTEFĂNIGĂ, Mircea-Sebastian ȘERBĂNESCU

“…RoMedINF's multifaceted approach to knowledge dissemination, featuring keynote speeches, oral presentations, poster sessions, and demonstrations, fosters an environment of active learning and engagement. …”
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

“…To address this issue, a data-driven clinical decision tool is crucial for identifying patients at greater risk of LTFU and facilitating personalized and proactive interventions. This study aimed to develop a prediction model to assess the future risk of LTFU in HIV care in Ethiopia. …”
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Special pathological type of upper urinary tract malignancy—squamous cell carcinoma of the renal pelvis: A case report and literature review by Xiaodong Zhu, Zhengfei Guo, Fang Wu, An Zheng, Zhengmin Guo, Jing Li

“…Objective: To investigate the clinnical features for squamous cell carcinoma (SCC) of the renal pelvis. …”
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Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

“…By providing a reliable methodology for WQI estimation, this study supports informed decision-making and proactive measures to protect vital water resources.…”
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Predicting the potential distribution areas of Leptotrombidium rubellum under current and future climate change by Qunzheng Mu, Qunzheng Mu, Fengfeng Li, Wenyu Li, Wenyu Li, Xiaoxia Wang, Mingyuan Tang, Kehan Chen, Yihao Jiang, Jingqi Liu, Shirong Zhang, Qiyong Liu, Chuan Wang

“…The results may facilitate a transition from passive to proactive vector monitoring.MethodsFifty-seven potential influencing factors were evaluated. …”
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Beyond Muscle Weakness: Unraveling Endocrine and Metabolic Dysfunctions in Duchenne Muscular Dystrophy, a Narrative Review by Giuseppe Cannalire, Giacomo Biasucci, Vanessa Sambati, Tommaso Toschetti, Arianna Maria Bellani, Anna-Mariia Shulhai, Federica Casadei, Erika Rita Di Bari, Francesca Ferraboschi, Cecilia Parenti, Maria Carmela Pera, Susanna Esposito, Maria Elisabeth Street

“…<b>Results:</b> Growth retardation is a hallmark feature of DMD, with patients exhibiting significantly shorter stature compared to their healthy peers. …”
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Design and Application of GISC Beijing Global Cache by Gu Wenjing, Guo Ping, Zhang Laien, Xue Lei, Han Xinqiang, Gao Feng, He Wenchun, Wang Huaile, Wang Peng, Wang Bo

“…This sophisticated system integrates essential functionalities, including proactive data discovery, streamlined and efficient downloading mechanisms, and intelligent cache processing. …”
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Analysing the psychological capital influence on academic performance in an e-learning environment by Lama Sameer Khoshaim

“…Hope enhances problem-solving and adaptability, while optimism fosters a proactive attitude and perseverance, both vital for academic excellence. …”
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3D-printed porous titanium rods equipped with vancomycin-loaded hydrogels and polycaprolactone membranes for intelligent antibacterial drug release by Zheru Ma, Yao Zhao, Zhe Xu, Yao Zhang, Yu Han, Haozhuo Jiang, Peng Sun, Wei Feng

“…The widespread use of bioactive prostheses in joint replacements, featuring roughened surfaces and tight integration with the bone marrow cavity, has facilitated bacterial proliferation and complicated treatment. …”
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Museums and Geoconservation by Michael J. Benton, Sarah King

“…Geoconservation focuses on the conservation of geological features, processes, and landscapes, and has gained recognition as an important area of environmental protection, particularly in the context of climate change and anthropogenic pressures on natural resources. …”
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LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion by Jingyuan He, Weifeng Li, Shijia Pan, Nikolaos Sygrimis, Zijie Niu, Dongyan Zhang, Dong Han, Petro A. Roussos

“…In contrast, predictive studies of SMC can provide information on future dynamics, which can help to respond proactively to environmental changes, make long-term plans, and have more substantial prospective and practical value. …”
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What factors enhance students' achievement? A machine learning and interpretable methods approach. by Hui Mao, Ribesh Khanal, ChengZhang Qu, HuaFeng Kong, TingYao Jiang

“…The results advocate for: (a) teachers should balance direct instruction with active learning modalities to optimize achievement, and (b) early warning systems should leverage identifiable learning features to proactively support struggling students. …”
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TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies by Pavana Pradeep Kumar, Krishna Kant

“…The dataset serves as a valuable resource for researchers, engineers, and policymakers aiming to develop intelligent transportation systems that proactively reduce road accidents.…”
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PROJECT SUCCESS AND INDIVIDUAL ENTREPRENEURIAL ORIENTATION OF PROJECT MANAGERS: RUSSIAN CONTEXT by C. A. Titov, R. D. Pathak, A. A. Tsymbal

“…Some indicators of success were positively associated with such indicators of entrepreneurial orientation as proactivity and risk taking. As uncertainty increased, some measures of individual entrepreneurial orientation of project managers can positively compensate negative impact on project success from uncertainty associated with projects’ entrepreneurial nature.…”
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