Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet by Shojib Mia, Firoz Ahmed, Ibrahim Khan, Md. Emamul Kabir, Mehedi H. Roni, Khadijatul Cobra, Anjuman Ara Khatun, Shahriar Mahmud

“…By leveraging data analytics and machine learning, these systems can predict energy consumption, optimize resources, and maintain renewable energy assets proactively. …”
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Making connections for children and teachers: using classroom-based implementation supports for teaching Pyramid Model practices in Head Start programs by Rebecca J. Bulotsky-Shearer, Jill Ehrenreich-May, Chelsea T. Morris, Casey Mullins, Bella S. Lerner, Elizabeth Howe, Jhonelle Bailey, Rinatte L. Gruen, Angelica C. Gonzalez

“…No significant impacts on child classroom behavior problems, self-regulation, or approaches to learning skills were found for children enrolled in intervention classrooms, compared to children in the control classrooms.DiscussionFuture directions for research and implications for practice are discussed.…”
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Cacao floral traits are shaped by the interaction of flower position with genotype by Seunghyun Lim, Insuck Baek, Seok Min Hong, Yoonjung Lee, Silvas Kirubakaran, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

“…These findings emphasize the phenotypic diversity of cacao flowers and demonstrate the potential of machine learning in genotype identification, offering valuable insights for breeding and cultivation strategies to enhance cacao productivity.…”
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Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles by Yuwei Kong, Karina Jimenez, Christine M. Lee, Sophia Winter, Jasmine Summers-Evans, Albert Cao, Massimiliano Menczer, Rachel Han, Cade Mills, Savannah McCarthy, Kierstin Blatzheim, Jennifer A. Jay

“…Despite limitations from cloud cover and spatial resolution, the findings suggest that integrating satellite data with machine learning can enhance large-scale, efficient turbidity monitoring in coastal waters.…”
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CZYH Alleviates β-Amyloid-Induced Cognitive Impairment and Inflammation Response via Modulation of JNK and NF-κB Pathway in Rats by Yuanyuan Deng, Lianzhi Ye, Cheng Yu, Caixia Yin, Jingshan Shi, Qihai Gong

“…The current study was designed to investigate the neuroprotective effect of CZYH on a β-amyloid 25-35- (Aβ25-35-) induced learning and memory deficit rat model. CZYH (200, 400, or 800 mg/kg), donepezil (1.0 mg/kg), or distilled water was given to Aβ25-35-stimulated animals for 17 days consecutively. …”
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An Effective Dataset Preprocessing Method in Tilted Gear Defects Target Detection by Lifen Tu, Qi Peng, Aiqun Zhang, Xiao Yang, Jiaqi Wang

“…Methods based on deep learning have exhibited excellent performance in detecting gears. …”
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Bearing Defect Detection with Unsupervised Neural Networks by Jianqiao Xu, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, Deyi Kong

“…Therefore, the defect detection of the bearing has always been the focus of the bearing quality control. Deep learning has been successfully applied to the objection detection due to its excellent performance. …”
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Detection of early relapse in multiple myeloma patients by Tereza Růžičková, Monika Vlachová, Lukáš Pečinka, Monika Brychtová, Marek Večeřa, Lenka Radová, Simona Ševčíková, Marie Jarošová, Josef Havel, Luděk Pour, Sabina Ševčíková

“…All results were analyzed by machine learning. Conclusion Mass spectrometry coupled with machine learning shows potential as a reliable, rapid, and cost-effective preliminary screening technique to supplement current diagnostics.…”
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Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

“…Finally, the applicability of the top-performance models was validated with tiny machine learning (TinyML).…”
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Physical fitness assessment tools for children with developmental coordination disorder and their feasibility for low-income settings: A systematic review by Monica Maria do Nascimento, Jorge Lopes Cavalcante-Neto, Meyene Duque Weber, Paula Cristina dos Santos Rodrigues, Andreia N. Pizarro, Maria Olga Fernandes Vasconcelos

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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…These VIs, reflecting changes in canopy reflectance over time, were then analyzed using various machine learning models, including a pattern recognition neural network (PRNN). …”
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Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images by Sultan Refa Alotaibi, Manal Abdullah Alohali, Mashael Maashi, Hamed Alqahtani, Moneerah Alotaibi, Ahmed Mahmud

“…Lately, computer-aided diagnosis (CAD) based on HI has progressed rapidly with the increase of machine learning (ML) and deep learning (DL) based models. …”
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2D physically unclonable functions of the arbiter type by V. N. Yarmolik, A. A. Ivaniuk

“…It seems promising to further develop the ideas of constructing two-dimensional physically unclonable functions of the arbiter type, as well as experimental study of their characteristics, as well as resistance to various types of attacks, including using machine learning.…”
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Association between triglyceride-glucose index and carotid atherosclerosis in Chinese steelworkers: a cross-sectional study by Haoyue Cao, Qinglin Li, Juxiang Yuan

“…In LASSO regression, TyG index and other covariables are screened as important feature variables to be incorporated into the development of machine learning models. The TyG index is associated with an increased risk of CAS among steelworkers, underscoring its potential as a reliable and practical predictive tool for assessing CAS risk in this population. …”
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Environmental Challenges Faced by a Kindergarten and a School in the Katima Mulilo Education Circuit by Давид Нкенгбеза, Мундія Кілібоні Еустінах, Євген Літаба Маемеко, Муквамбо Музва

“…The educational environment increases children’s interest in learning. It fosters a positive attitude among children and contributes to enhancing their sense of security. …”
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Improving patient safety through better teamwork: how effective are different methods of simulation debriefing? Protocol for a pragmatic, prospective and randomised study by Wolf E Hautz, Juliane E Kämmer, Julia Freytag, Fabian Stroben, Dorothea Eisenmann

“…Debriefing after simulation is thought to be crucial to learning teamwork-related concepts and behaviours but it remains unclear how best to debrief these aspects. …”
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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

“…Experimental results demonstrate that, compared to existing deep learning methods, FERA-Net achieves significant improvements in the task of Martian water-ice cloud segmentation. …”
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Methodology for the organisation of professional training of senior citizens: general concept by T. M. Rezer

“…The conceptual model for the organisation of professional training of senior citizens is developed from the point of system-based approach and includes the following elements: 1) clarification of conceptual apparatus of senior adult education; 2) determination of anatomical and physiological features of senior citizens; 3) argumentation of the need of senior citizens for professional training; 4) determination of the peculiarities of professional training for senior citizens; 5) development of prerequisites list for successful learning of senior citizens; 6) formulation of learning objectives and tasks for its organisation; 7) choice of approaches for building the model of training and its principles as well as methodology for determining the quality and results of training.Practical significance. …”
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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes. …”
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Comparing the efficacy of live vs. video instructional demonstrations in dental education: a systematic review and meta-analysis by Rawan N. AlKahtani, Banna M. Alnufaiy, Refal S. Albaijan, Sarah M. Alnafaiy, Farah M. Elfakhri, Suha M. Aljudaibi

“…Meta-analysis revealed that video-based learning significantly enhanced educational outcomes across various measures, including knowledge acquisition and practical skills over live demonstrations. …”
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