Leveraging computer-aided drug design for the discovery of phytohormone analogs: A review by Yuling Guo, Ghulam Qanmber, Zhao Liu, Han Yang, Jun Li, Zhikun Yang, Zhongxian Li, Linlin Yang, Zuoren Yang

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Fuzzy Logic Concepts, Developments and Implementation by Reza Saatchi

“…There remain extensive opportunities in further developing fuzzy logic-based techniques, including their further integration with various machine learning algorithms, and their adaptation into consumer products and industrial processes.…”
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Informational Aesthetics—What Is the Relationship between Art Intelligence and Information? by John Holgate

“…The failure of the cognitive school is attributed to the limitations of its data-driven view of art itself as an affordance of perception (Arnheim). The roles of algorithmically generated art and of Computational Aesthetic Evaluation (CAE) are assessed. …”
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Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen shoulder by Han-tao Jiang, Li-ping Shen, Meng-Qi Pang, Min-jiao Wu, Jiang Li, Wei-jie Gong, Gang Jin, Rang-teng Zhu

“…Moreover, these genes played important roles in pathways such as “ECM receptor interaction” and “lysosome”. …”
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Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer by Sichao Wang, Chuanxi Zhao, Dongmei Li, Qingzhi Liu, Cuiping Mao, Shanshan Ding, Shujun Zhang, Wenjing Shang

“…However, the potential roles of HMEs in gastric cancer (GC) remain unclear. …”
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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…It is well established that the work environment plays a crucial role in shaping both physical and mental health. …”
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Disseminated intravascular coagulation by Satoshi Gando, Marcel Levi, Cheng-Hock Toh

“…Histones derived from cellular damage play central roles in the innate-immune-based coagulation model, comprising the initiation, amplification, propagation, and reinforcement phases, which, if dysregulated, develop into DIC. …”
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Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

“…Subsequently, we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms, with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. …”
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Development of machine learning predictive models and risk scoring system for survival in breast cancer patients with type II diabetes: a retrospective cohort study by Claire Chenwen Zhong, Junjie Huang, Zhaojun Li, Yu Jiang, Zehuan Yang, Ziwei Huang, Qi Dou, Yu Li, Martin C.S. Wong

“…Five machine learning algorithms were employed to develop predictive models for the survival of breast cancer patients with T2DM: Cox proportional hazards regression, LASSO Cox regression, boosting, survival tree, and random survival forest (RSF). …”
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Identification of hub biomarkers in coronary artery disease patients using machine learning and bioinformatic analyses by Xindi Chang, Liyu Tao, Lulu Tian, Yingli Zhao, Wangkang Niku, Wang Zheng, Ping Liu, Yiru Wang

“…This study aims to identify and analyze differentially expressed hub biomarkers in the peripheral blood of CAD patients. Based on RNA-seq datasets from the Gene Expression Omnibus database, machine learning algorithms including LASSO, RF, and SVM-RFE were applied. …”
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Semantics-guided spatial data generation for complex large-scale indoor map from 3D colorized point clouds by Z. Wang, X. Wang, J. Yang, T. Li

“…Therefore, this paper develops a semantics-guided generation method of indoor spatial data for mapping indoor spaces, where the roles of semantics are investigated for the subdivision and reconstruction of indoor spaces. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Eur Eat Disord Rev 2023) and ECHO-based (Philipp J, Truttmann S, Zeiler M, Franta C, Wittek T, Schöfbeck G, et al. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…Furthermore, this approach provides a novel means to study species that are difficult to observe directly, due to their elusive nature or the inaccessibility of their habitats.The collaborative interaction between AI and animal robots opens up avenues for the development of responsive and adaptable conservation strategies. AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
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Large Language Models in Medical Chatbots: Opportunities, Challenges, and the Need to Address AI Risks by James C. L. Chow, Kay Li

“…These include hallucinations (the generation of factually incorrect or misleading content by an AI model), algorithmic biases, privacy risks, and a lack of regulatory clarity. …”
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Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling by Liguo Zhang, Jiarui Gao, Liangyu Zhao, Zetan Liu, Anlin Guan

“…Nine machine learning algorithms were employed to develop interpretable predictive models, rank the importance of digital technology tools, and identify the optimal predictive model for student engagement. …”
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Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury. by Tianbao Feng, Jiating Hu, Mi Xie, Guodong Shi, Qi Wang, Jingyuan Yao, Xiaoqin Liu

“…Research has demonstrated the significant roles of apoptosis, necroptosis, and pyroptosis in the progression of SCI. …”
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Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy by Wuyuan Liao, Wuyuan Liao, Wuyuan Liao, Xinwei Zhou, Xinwei Zhou, Hansen Lin, Hansen Lin, Zihao Feng, Zihao Feng, Xinyan Chen, Yuhang Chen, Yuhang Chen, Minyu Chen, Minyu Chen, Mingjie Lin, Mingjie Lin, Gaosheng Yao, Gaosheng Yao, Jinwei Chen, Jinwei Chen, Haoqian Feng, Haoqian Feng, Yinghan Wang, Yinghan Wang, Zhiping Tan, Zhiping Tan, Youyan Tan, Jun Lu, Jun Lu, Pengju Li, Pengju Li, Jinhuan Wei, Jinhuan Wei, Li Luo, Li Luo, Liangmin Fu, Liangmin Fu, Liangmin Fu

“…Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…Machine learning approaches are examined for their roles in pattern recognition-based and hybrid control architectures. …”
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Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma by Minxue Zhang, Lin Zhou, Yuying Zhao, Yanling Wang, Zhuobo Zhang, Zhan Liu

“…From these, two key diagnostic genes were identified using three machine learning algorithms: ADIPOQ and IL21R. A predictive neural network model was developed based on these genes, exhibiting strong diagnostic capability with a ROC value of 0.944, and further validated using a nomogram approach. …”
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Chemotranscriptomic analysis of 7-hydroxymatairesinol-related effects on MCF7 human breast tumor cells by I. Yu. Torshin, A. N. Rubashkina, O. A. Gromova

“…The GEO (Gene Expression Omnibus) database contains samples of data from transcriptomic studies allowing to model dose-dependent compound-related effects on gene expression based on the chemograph-derived combinatorial analysis algorithms. …”
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