Evaluation of the Impact of Morphological Differences on Scale Effects in Green Tide Area Estimation by Ke Wu, Tao Xie, Jian Li, Chao Wang, Xuehong Zhang, Hui Liu, Shuying Bai

“…Green tide patches were categorized into small, medium, and large sizes, and morphological features such as elongation, compactness, convexity, fractal dimension, and morphological complexity were designed and analyzed. Machine learning models, including Extra Trees, LightGBM, and Random Forest, among others, classified medium and large patches into striped and non-striped types, with Extra Trees achieving outstanding performance (accuracy: 0.9844, kappa: 0.9629, F1-score: 0.9844, MIoU: 0.9637). …”
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Cerebral Responses to Acupuncture at GV24 and Bilateral GB13 in Rat Models of Alzheimer’s Disease by Shaoyang Cui, Mingzhu Xu, Jianting Huang, Qing Mei Wang, Xinsheng Lai, Binbin Nie, Baoci Shan, Xun Luo, John Wong, Chunzhi Tang

“…These results demonstrated that acupuncturing at GV24 and bilateral GB13 acupoints may improve the learning and memory abilities of the AD rats, probably via altering cerebral glucose metabolism (CGM) in the hypothalamus, thalamus, and brain stem. …”
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Pengukuran Niat Penggunaan Virtual Reality sebagai Alat Simulasi Pelatihan by Riski Arifin, Adithya Sudiarno

“…Abstract Virtual Reality is a technology that describes a virtual environment, the virtual reality continues to show a massive increase of usage over the years ranging from a gaming application to a simulation tool for education and training, which proven to provide better understanding of the learning subject compared to the conventional training. …”
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Multi-Objective Simulated Annealing for Efficient Task Allocation in UAV-Assisted Edge Computing for Smart City Traffic Management by Ahmed Shamil Mustafa, Salman Yussof, Nurul Asyikin Mohamed Radzi

“…While existing technologies provide solutions for data collection (UAVs), processing (computer vision), and control (reinforcement learning), the integration and resource optimization of these components remains a significant challenge. …”
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What are the general public’s expectations about the likely duration of common acute infections? A cross-sectional survey of Australian residents by Mark Jones, Tammy Hoffmann, Mina Bakhit, Kwame Peprah Boaitey

“…Many stated that they would not be concerned about waiting for illnesses to self-resolve after learning the typical duration. Communicating the expected duration of common acute infections during routine consultations can help manage patients’ expectations of recovery and need to seek care.…”
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Leveraging hybrid model of ConvNextBase and LightGBM for early ASD detection via eye-gaze analysis by Ranjeet Bidwe, Sashikala Mishra, Simi Bajaj, Ketan Kotecha

“…. • A LightGBM model performed classification using 3-fold cross-validation and found the best parameters for bagging_function, feature_fraction, max_depth, Number_of_leaves and learning_rate with values of 0.8, 0.8, −1, 31 and 0.1 respectively, to improve the model's robustness on unseen data.This proposed method is trained and tested on the publicly available Kaggle dataset, and results are benchmarked with other state-of-the-art methods. …”
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Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework by Arvind R. Singh, R. Seshu Kumar, K. Reddy Madhavi, Faisal Alsaif, Mohit Bajaj, Ievgen Zaitsev

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Usability Testing pada Simulator Media Pembelajaran Lalu Lintas Berbasis Android by I Made Ari Saputra, I Putu Agung Bayupati, Ni Kadek Dwi Rusjayanthi

“…The traffic simulator is a learning media that is shown to the public so that people can learn about traffic rules virtually. …”
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Digital environment of development of regional markets of personal services and measures of their regulation by E. B. Dvoryadkina, A. A. Eliseeva, N. A. Istomina

“…Consequently, it becomes possible, for example, the development of healthcare with the help of personalized medicine or, for example, the use of personalized learning opportunities, etc. Also, measures to regulate regional markets for personal services in the digital environment are considered and examples of regional practices are given. …”
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Futility in TAVI: A scoping review of definitions, predictive criteria, and medical predictive models. by Charlie Ferry, Jade Fiery-Fraillon, Mario Togni, Stephane Cook

“…Medical predictive models showed moderate sensitivity and specificity, except for machine learning, which shows promise for the future. However, few articles delve deeply into non-quantifiable parameters such as patient goals and objectives or ethical questions. …”
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Perceived stress and coping strategies used by undergraduate dental students: An observational study. by Saira Atif, Nilofar Mustafa, Sarah Ghafoor

“…For the emotional, psychological, and professional well-being of undergraduate students, institutions must provide a nurturing and positive learning environment implementing strategies for stress prevention and management.…”
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MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…The removal of spatial and channel redundancy, in conjunction with interactive reconstruction, serves to simulate attention and enhance the learning ability of waterscape. Then, we design a multi-branch two-layer attention fusion module (MDA), which achieves diverse attention and global optimisation of edge details by connecting spatial attention, channel attention and pixel attention in parallel. thereby guiding feature fusion and solving the problem of receptive field mismatch. …”
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Profile to frontal face recognition in the wild using coupled conditional generative adversarial network by Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi

“…Abstract In recent years, with the advent of deep‐learning, face recognition (FR) has achieved exceptional success. …”
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Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches by Shadrack Odikara Oriama, Benard W. Kulohoma, Evans Nyaboga, Y. O. Masheti, Reuben Otsyula

“…Annotation of genes proteins with significant association values was conducted using a machine learning algorithm of support vector machine on prPred using python3 on Linux Ubuntu 18.04 computing platform with an accuracy of 0.935. …”
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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ by Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu

“…To explore the effective defect density calculation strategies and methods on EACPDP, the authors compare four data filtering methods and five transfer learning methods with EASC using four commonly used defect density calculation strategies. …”
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POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas by Yide Yu, Huijie Li, Dennis Wong, Anmin Hu, Jian Huo, Yan Ma, Yue Liu

“…Through comprehensive ablation experiments—where key observation dimensions are systematically reduced to simulate missing data—POMA-C demonstrates significantly higher decision accuracy and cumulative reward optimization compared to methods like Q-learning and human expertise, even in data-constrained environments. …”
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Long-Term Environmental Enrichment Relieves Dysfunctional Cognition and Synaptic Protein Levels Induced by Prenatal Inflammation in Older CD-1 Mice by Zhe-Zhe Zhang, Li-Ping Zeng, Jing Chen, Yong-Fang Wu, Ya-Tao Wang, Lan Xia, Qi-Gang Yang, Fang Wang, Gui-Hai Chen

“…The Morris water maze (MWM) was used to assess the spatial learning and memory capacities of experimental mice, while western blotting and RNA-scope were used to determine the expression levels of Arc and Syt1 in the hippocampus at the protein and mRNA levels, respectively. …”
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CFD modelling and simulation of anaerobic digestion reactors for energy generation from organic wastes: A comprehensive review by Muhammad Usman Farid, Indiana A. Olbert, Andreas Bück, Abdul Ghafoor, Guangxue Wu

“…Research gaps and critical challenges are identified in different aspects such as reactor design, and configuration, mixing, multiphase flow, heat transfer, biokinetics as well as machine learning approaches.…”
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CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids by Xiaofu He, Yian Wang, Yutong Gao, Xuchen Wang, Zhixiong Sun, Huixiang Zhu, Kam W. Leong, Bin Xu

“…Moreover, end-user researchers usually face a considerable challenge in mastering the entire analysis procedure and obtaining critical outputs due to the steep learning curve associated with these available tools. …”
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SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence by G. Sathish Kumar, E. Suganya, S. Sountharrajan, Balamurugan Balusamy, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan

“…Artificial neural networks have been extensively used for disease prediction and diagnosis due to their ability to learn complex patterns and relationships from large datasets. …”
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