A Workflow for Integrated Geological Modeling for Shale Gas Reservoirs: A Case Study of the Fuling Shale Gas Reservoir in the Sichuan Basin, China by Xiaofei Shang, Huawei Zhao, Shengxiang Long, Taizhong Duan

“…The selection and optimization of modeling methods, the innovation and development of modeling algorithms, and the evaluation techniques for model uncertainty are areas where breakthroughs may be possible in the geological modeling of shale gas reservoirs. …”
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Metabolic profile changes in patients with rheumatoid arthritis detected using mass spectrometry by Xue Wu, Qi Yang, Shanshan Liu, Peng Yang, Zhengqi Liu, Zhitu Zhu

“…Conclusions The selected biomarkers have the potential to improve the detection of RA, and may offer insights into the intervention strategies to susceptible at-risk populations of developing RA.…”
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From gene expression to causal associations: investigating the role of ferroptosis in cataract development by Chen Li, Xian-bing Yuan, Yi-cheng Lu, Zi-yue Song

“…Abstract Background Cataracts are one of the most prevalent blinding eye diseases globally, and ferroptosis may be involved in its pathogenesis; however, the precise mechanisms remain unclear. …”
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Prognostic tools or clinical predictions: Which are better in palliative care? by P Stone, V Vickerstaff, A Kalpakidou, C Todd, J Griffiths, V Keeley, K Spencer, P Buckle, D Finlay, R Z Omar

“…<h4>Conclusions</h4>Although four commonly used prognostic algorithms for palliative care generally showed good discrimination and calibration, none of them demonstrated superiority to CPS. …”
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Using weak signals to predict spontaneous breathing trial success: a machine learning approach by Romain Lombardi, Mathieu Jozwiak, Jean Dellamonica, Claude Pasquier

“…The many biosignals that are measured in patients during ventilation may be considered “weak signals”, a concept rarely used in medicine. …”
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Generative AI on professional development: a narrative inquiry using TPACK framework by Buddhi Laxmi Lakhe Shrestha, Niroj Dahal, Md. Kamrul Hasan, Santosh Paudel, Hiralal Kapar

“…However, challenges such as technical skill gaps, ethical concerns about data privacy, and the risk of over-reliance on AI, which may hinder critical thinking and teacher-student rapport, were identified. …”
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Enhancing Stroke Prediction with Logistic Regression and Support Vector Machine Using Oversampling Techniques by Syamsul Risal, Fajar Apriyadi, A. Sumardin, Andini Dani Achmad, Annisa Nurul Puteri

“…Simultaneously, SVM with Borderline-SMOTE may be more appropriate for resource-constrained environments.…”
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Risk assessment of the top 50 drugs associated with drug-induced orthostatic hypotension: a disproportionality analysis of the FAERS and JADER databases by Gaocan Ren, Xiansu Chi, Pingping Huang, Jinhui Zhang, Yanqiu Ding, Lijun Guo, Qinghua Shang, Xiaochang Ma

“…This study employed the FAERS database to identify 33 drugs that may be potentially linked to orthostatic hypotension. …”
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Teaching design students machine learning to enhance motivation for learning computational thinking skills by Hung-Hsiang Wang, Chun-Han Ariel Wang

“…Students using Weka spent more time focusing on model training and tended to improve their algorithmic thinking, and the introduction of Weka appeared to enhance their motivation to learn. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…Abstract Optimization algorithms play a fundamental role in training neural networks. …”
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Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks by Ricardo Manzano, Marzia Zaman, Darshana Upadhyay, Nishith Goel, Srinivas Sampalli

“…Despite these advantages, relying solely on federated learning may not yield accurate results, particularly when dealing with highly imbalanced datasets. …”
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TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway by Qinghua Yang, Junfei Feng, Hongyuan Xu, Tao Kang, Qingjun Wei, Hua Jiang

“…While further validation is needed, these observations may contribute to a deeper understanding of IDD pathogenesis.…”
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Comparison of Synapse 3D system (Version 4.4) and DirectPath system (Version 2.0) in virtual bronchoscopic navigation application for peripheral pulmonary nodules by Xiang Li, Sen Tian, Yifei Zhang, Hui Chen, Yilin Chen, Qin Wang, Wei Zhang, Hui Shi, Haidong Huang, Xiaping Shen, Yao Fang, Lei Qu, Zhenhong Hu, Yuchao Dong, Chong Bai

“…Improvements in segmentation algorithms of VBN systems and using the most suitable chest CT scan data for them may be the breakthrough to improve the efficiency of VBN, especially for poor experienced interventional physicians.…”
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A Machine Learning and Remote Sensing‐Based Model for Algae Pigment and Dissolved Oxygen Retrieval on a Small Inland Lake by Maxwell R. W. Beal, Mutlu Özdoğan, Paul J. Block

“…Machine learning methods are implemented with existing algorithms to model chlorophyll‐a, phycocyanin, and Pc:Chla. …”
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Epidemiological tracking and population assignment of the non-clonal bacterium, Burkholderia pseudomallei. by Julia Dale, Erin P Price, Heidie Hornstra, Joseph D Busch, Mark Mayo, Daniel Godoy, Vanaporn Wuthiekanun, Anthony Baker, Jeffrey T Foster, David M Wagner, Apichai Tuanyok, Jeffrey Warner, Brian G Spratt, Sharon J Peacock, Bart J Currie, Paul Keim, Talima Pearson

“…The approach used here may be valuable for other non-clonal pathogens that lack simple group-defining genetic characteristics and provides a rapid reference for epidemiologists wishing to track the origin of infection without the need to compile population data and learn population assignment algorithms.…”
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Current View on the Postoperative Asthenopic Syndrome Problem in Patients with Corneal Refractive Surgery. Review by I. A. Mushkova, N. V. Maychuk, E. Yu. Markova, L. T. Shamsetdinova

“…Despite to the significant success in refractive surgery and the achieved high result in visual acuity, the ideal healing of the cornea, the absence of dry eye syndrome, some patients in the postoperative period present asthenopic complaints. Patients may notice a decrease in visual acuity when working near, difficulty in refocusing from far to near distance, fuzzy, blurred images, red eyes, tearing, periodic or permanent diplopia at different distances in the postoperative period. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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Multi-level User Interest and Multi-intent Fusion for Next Basket Recommendation by WEI Chuyuan, YUAN Baojie, WANG Changdong

“…Next basket recommendation aims to recommend the next basket of items that users may be interested in based on the basket sequence of user historical interactions. …”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…Mechanical defects and sensor failures can substantially undermine the reliability of low-cost sensors, especially in applications where measurement inaccuracies or malfunctions may lead to critical outcomes, including system control disruptions, emergency scenarios, or safety hazards. …”
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Exploring the role of repetitive negative thinking in the transdiagnostic context of depression and anxiety in children by Kuiliang Li, Lei Ren, Xiao Li, Chang Liu, Xuejiao Tan, Ming Ji, Xi Luo

“…Conclusion RNT, particularly its core features, may play an important transdiagnostic role in the co-occurrence of depression and anxiety symptoms in children. …”
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