Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Results confirm the model’s capacity to disentangle complex market patterns while maintaining computational tractability. …”
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Predicting dementia from primary care records: A systematic review and meta-analysis. by Elizabeth Ford, Nicholas Greenslade, Priya Paudyal, Stephen Bremner, Helen E Smith, Sube Banerjee, Shanu Sadhwani, Philip Rooney, Seb Oliver, Jackie Cassell

“…Further predictive entities ascertainable from primary care data, such as changes in consulting patterns, were absent from the literature and should also be explored in future studies.…”
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A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance by Mst Alema Khatun, Mohammad Abu Yousuf, Taskin Noor Turna, AKM Azad, Salem A. Alyami, Mohammad Ali Moni

“…<b>Background:</b> Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized movement patterns. It also significantly manages and grows multiple industries, such as surveillance, sports, and diagnosis. …”
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Design of a Micro-Plant Factory Using a Validated CFD Model by Xinxin Chen, Tengyuan Hou, Shulin Liu, Yongxiu Guo, Jianping Hu, Gaoming Xu, Guoxin Ma, Wei Liu

“…Based on the ventilation design of case 6, a micro-plant factory was developed featuring a bidirectional flow fan, air conditioning, and PWM fans for the coordinated control of air circulation within the seedling cultivation space, along with adjustable cultivation layer heights and shelf spacing. …”
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Nickel Ion Induced Multistage Assembly of Th13 Cluster by Kong-Qiu Hu, Jun-Xi Wang, Qun-Yan Wu, Zhi-Wei Huang, Zhi-Heng Zhou, Jin-Dong Wang, Xiao-Bo Li, Ji-Pan Yu, Zhi-Hui Zhang, Lei Mei, Yong-De Yan, Wei-Qun Shi

“…This study demonstrates that the incorporation of heterometal ions not only alters the hydrolysis patterns of actinide metal ions, resulting in the formation of new actinide clusters, but also broadens their potential applications.…”
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Impact of Heat and Pressure Processing Treatments on the Digestibility of Peanut, Hazelnut, Pistachio and Cashew Allergens by Claudia Arribas, Africa Sanchiz, Mercedes M. Pedrosa, Selene Perez-Garcia, Rosario Linacero, Carmen Cuadrado

“…Food processing can alter protein biochemical properties, impacting immunoreactivity and allergenicity. A key feature of food allergens is their resistance to enzymatic digestion, particularly by pepsin and trypsin. …”
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Planning for Cultural Connectivity: Modeling and Strategic Use of Architectural Heritage Corridors in Heilongjiang Province, China by Lyuhang Feng, Jiawei Sun, Tongtong Zhai, Mingrui Miao, Guanchao Yu

“…A closed-loop strategy of “identification–analysis–optimization” is developed, featuring tiered collaboration, cultural–ecological synergy, and multi-agent dynamic evaluation. …”
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Identification and Validation of NK Marker Genes in Ovarian Cancer by scRNA-seq Combined with WGCNA Algorithm by Xin He, Weiwei Feng

“…By utilizing NK cell marker genes in our investigation, we developed a new feature that is capable of predicting patients’ clinical outcomes and treatment strategies.…”
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Decoding Parkinson’s diagnosis: An OCT-based explainable AI with SHAP/LIME transparency from the Persian Cohort Study by Zohreh Ganji, Farzaneh Nikparast, Naser Shoeibi, Ali Shoeibi, Hoda Zare

“…Model interpretability was ensured via SHAP (global feature importance) and LIME (local explanations). …”
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A multi-biomarker machine learning approach for early prediction of interstitial lung disease in rheumatoid arthritis by Jiaojiao Xu, Wei Zhang, Weili Bai, Nannan Gai, Jing Li, Yunqi Bao

“…The ILD group exhibited significantly elevated levels of inflammatory markers and specific biomarkers, particularly KL-6 (826.4 ± 458.2 vs. 285.6 ± 124.8 U/ml, P < 0.001), alongside distinct patterns in hematological parameters. Conclusion Machine learning approaches, particularly XGBoost, demonstrate promising potential for early RA-ILD prediction. …”
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Sedimentary Characteristics and Petroleum Geological Significance of the Middle–Upper Triassic Successions in the Wushi Area, Western Kuqa Depression, Tarim Basin by Yahui Fan, Mingyi Hu, Qingjie Deng, Quansheng Cai

“…This study focuses on the Wushi Sag, systematically analyzing the sedimentary facies types, the evolution of sedimentary systems, and the distribution patterns of the Triassic Kelamayi and Huangshanjie formations. …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…They have enhanced information processing capabilities and potential pattern mining abilities when dealing with vast, high-dimensional, and complex football match data. …”
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Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry by Srijita Chandra, Guilherme Cezar, Kinath Rupasinghe, Edison Magalhães, Gustavo S. Silva, Marcelo Almeida, Bret Crim, Eric Burrough, Phillip Gauger, Darin Madson, Joseph Thomas, Michael Zeller, Jianqiang Zhang, Rodger Main, Albert Rovira, Mary Thurn, Paulo Lages, Cesar Corzo, Matthew Sturos, Kimberly VanderWaal, Hemant Naikare, Franco Matias-Ferreyra, Rob McGaughey, Jamie Retallick, Sara McReynolds, Sara McReynolds, Jordan Gebhardt, Angela Pillatzki, Jon Greseth, Darren Kersey, Travis Clement, Jane Christopher-Hennings, Beth Thompson, Beth Thompson, Jonah Perkins, Melanie Prarat, Dennis Summers, Craig Bowen, Joseph Boyle, Kenitra Hendrix, James Lyons, Kelli Werling, Andreia G. Arruda, Mark Schwartz, Mark Schwartz, Paul Yeske, Deborah Murray, Brigitte Mason, Peter Schneider, Samuel Copeland, Luc Dufresne, Daniel Boykin, Corrine Fruge, William Hollis, Rebecca Robbins, Thomas Petznick, Kurt Kuecker, Lauren Glowzenski, Megan Niederwerder, Xiaoqiu Huang, Daniel C. L. Linhares, Giovani Trevisan

“…Production sites located in states with the largest swine inventory have contributed to the most frequent detection of new PRRSV strains. Additionally, the development of a web-based tool provides end users with the capability to search sequences similar to their query sequence, providing macroepidemiological information and genetic sequence features to support PRRSV management and control. …”
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Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…These findings provide insights into the strengths and limitations of various algorithms, highlighting the potential of CRNNs in analyzing complex cough patterns. This research demonstrates the potential of neural network models in fully automated cough monitoring. …”
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Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Subtype feature genes were selected through Lasso logistic regression and SVM-RFE algorithm. …”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…Then, feature selection is performed to determine the key factors. …”
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Deciphering hypoxia’s role in hepatocellular carcinoma prognosis with single-cell approaches by Jun Liang, Di Chen, Huiyu Liang

“…To probe the effects of hypoxia on HCC invasion, we developed the Cell Hypoxia-Related Prognostic Feature (CHPF). …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…Through a series of instructional videos, in-class exercises, discussion forums, and other interactive features, an appropriate self-regulated learning mechanism was developed to guide learners toward effective autonomous learning. …”
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ChatGPT for the Standardized Operative Notes in Plastic Surgery by Fizzah Arif

“…Data Collection and Analysis: ChatGPT can be trained to understand and analyze large amounts of operative notes data to identify patterns, discrepancies, and areas for improvement in standardization. 2. …”
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Comparatively analyzed quality of life in patients with atypical endometrial hyperplasia and endometrial cancer during various rehabilitation activities by L. N. Sandzhieva, A. G. Solopova, D. V. Blinov, V. N. Galkin, E. E. Achkasov

“…"passive" rehabilitation group were significantly higher as early as 3 months after the onset, with similar pattern observed at 6 and 12 months (p &lt; 0.05).Conclusion. …”
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