Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition by Supria Sarkar, Vasit Sagan, Sourav Bhadra, Felix B. Fritschi

“…The study also focuses on using the additional spectral bands and different statistical machine learning models to estimate seed traits, e.g., protein, oil, sucrose, starch, ash, fiber, and yield. …”
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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…In our evaluations, Polynomial Regression (PR) with higher interaction degrees outperforms more complex machine learning models in prediction accuracy and computational efficiency. …”
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Lifecycle Risk Assessment for Steel Cargo Vessel Sinkings: An Interpretive Structural Modeling and Fuzzy Bayesian Network Approach by Xiaodan Jiang, Haibin Xu, Yaming Zhu, Yingxia Gu, Shiyuan Zheng

“…The ISM–FBN framework visualizes hierarchical risk factors and incorporates uncertainty in the data and causal relationships through fuzzy scoring, structural updates, and probability learning. This approach provides a robust and adaptable tool for assessing SCVSA risks, advancing maritime risk assessment methodologies. …”
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Land use/cover change simulation research: A system literature review based on bibliometric analyses by Meili Chen, Narimah Samat, Mohammad Javad Maghsoodi Tilaki, Liyuan Duan

“…Future research should focus on establishing high spatiotemporal resolution big data systems, multi-scenario theoretical frameworks, multi-scale multi-level spatiotemporal dynamic models, and AI and machine learning. Enhancing the coupling of models improves understanding and prediction of complex LUCC processes, supporting global environmental research, resource management, and policymaking. …”
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Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis by Qifeng Liu, Tao Zhou, Chi Cheng, Jin Ma, Marzia Hoque Tania

“…Abstract Background Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. …”
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A study of psychological violence in intimate partner relationships among university students: a mixed-methods research by Berra Keçeci, Durmuş Ümmet

“…Media interactions yielded three main themes: interaction engagement, social learning effects, and the role of media within relationships. …”
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Catching a CAPTCHA: the impact of variable input on the processing of emerging orthographic representations by Olga Solaja, María Fernández-López, Davide Crepaldi, Manuel Perea

“…Therefore, letter shape variability when learning to read does not seem to boost orthographic processing.…”
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Power flow analysis and volt/var control strategy of the active distribution network based on data-driven method by Chen Hui, Zhu Weiping, Liu Liguo, Shi Mingming, Xie Wenqiang, Zhang Chenyu

“…Firstly, the CatBoost machine learning model for the distribution network power flow analysis is proposed, and the nonlinear mapping relationship between the distribution network state and power flow results is described from the data-driven perspective. …”
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Discrimination of the Gypsy Population in the University Environment by Jesús María Aparicio-Gervás, Miguel Ángel Carbonero-Martín, Lorena Valdivieso-León, Raquel Vázquez-Ramil

“…The aim is to make the Roma people visible and to intervene in the university population, promoting intercultural and inclusive learning spaces to reduce behaviors that generate inequalities. …”
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An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…The contribution of this paper will be an addition to the deep learning techniques applied for the solution of intrusion detection systems (IDS), which will also allow the building and implementation of more efficient security mechanisms in IoT environments.…”
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DESIGN OF A PROPERTY PRODUCT RECOMMENDATION SYSTEM USING ASSOCIATION RULE METHOD BASED ON USER INTERACTION PATTERNS by Susi Wagiyati Purtiningruma, Yudi Irawan Chandrab, Dian Gustinaa, Nafisah Yuliania, Fahrul Nurzamana, Jhonny Z.Aa, Agus Wismoa

“…Personalized property discovery uses accurate and adaptive suggestions from continuous learning. Results reveal that user interaction pattern-based association rule techniques improve property suggestion accuracy and personalization. …”
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Efektifitas Edukasi Tentang Jajanan Sehat Terhadap Peningkatan Pengetahuan dan Sikap Siswa Overweight by Firnaliza Rizona, Karolin Adhisty, Fuji Rahmawati, Tri Candraca Firman

“…For school in order to inform about healthy snack on learning process with discussion which involve being active of children or by another media such as poster or leaflet. …”
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Evaluating the adoption of agile project management practices in Chinese technology companies: Risk management implications by Lei Cheng

“…Based on these findings, a strategic framework was developed for integrating APM and risk management, emphasizing organizational alignment, cultural adaptation, continuous learning, and environmental responsiveness. The study contributes to the understanding of APM adoption in culturally distinct business environments and offers practical insights for technology companies in China seeking to enhance their agile practices and risk management strategies…”
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Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis by Weipeng Li, Yan Cao, Lijuan Li, Siyu Hou

“…The Gaussian mixture model (GMM) is an unsupervised clustering machine learning algorithm. This procedure involves the combination of multiple probability distributions to describe different sample spaces. …”
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Robotic constructor as a means of teaching C++ programming to high school students by Anton V. Eliseev

“…It also contributes to the development of students’ skills of mutual interaction and independent decision-making, allows to reveal their creative potential in design and design-research activities, and increases their interest in learning computer science, which is especially important in today’s technologically oriented society. …”
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A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid-Coded HLO by Pinggai Zhang, Minrui Fei, Ling Wang, Xian Wu, Chen Peng, Kai Chen

“…To effectively segment the flame pixels, a novel segmentation method for furnace flame using adaptive color model and hybrid-coded human learning optimization (AHcHLO) is proposed. A new adaptive color model with mixed variables (NACMM) is designed for adapting to different combustion states, and the AHcHLO is developed to search for the optimal parameters of NACMM. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

“…<italic>Methods:</italic> we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve ASD diagnosis. …”
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Mind Mapping Training’s Effects on Divergent Thinking Skills: Detection Based on EEG Data by Ting Liu, Zhisheng Wang, Hao Yu

“…The participants were university students learning foreign languages in Dalian, China. One group received foreign language translation teaching integrated with mind mapping training (experimental group), while the other group received regular foreign language translation teaching (control group). …”
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“Feedback is communication between human beings”: understanding adolescents' conception of written qualitative feedback by Sining Tao, Wenjuan Qin

“…The study adds to a growing literature on adolescent writing development from the lens of interactive teaching and learning.…”
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Co-Constructing “Third Spaces” for Engagement with and for Minoritized Community Groups and Environmental Scientists by Richard Holliman, Geeta Ludhra, Clare Janet Warren, Anjana Khatwa, Yoseph Araya, Kelly Smith, Janice Ansine, Marcus Peter Sebastian Badger

“…Following this, collective work to create third spaces requires: respect for diversity and different forms of expertise, knowledge starting points, power dynamics and esteem; a willingness to make connections across disciplines and sub-cultures, actively listening and (un)learning from different (knowledge) cultures; and a commitment to be respectful of hidden and manifest difference, exploring purpose and gaps in knowledge in more holistic ways.…”
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