Py-CoMSIA: An Open-Source Implementation of Comparative Molecular Similarity Indices Analysis in Python by Christopher L. Haga, Crystal N. Le, Xue D. Yang, Donald G. Phinney

“…<b>Results:</b> Py-CoMSIA provides a functional open-source alternative to proprietary CoMSIA software. …”
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Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys by Yan Zhang, Cheng Wen, Pengfei Dang, Xue Jiang, Dezhen Xue, Yanjing Su

“…Abstract The machine learning-assisted design of new alloy compositions often relies on the physical and chemical properties of elements to describe the materials. …”
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Simultaneous polyclonal antibody sequencing and epitope mapping by cryo electron microscopy and mass spectrometry by Douwe Schulte, Marta Šiborová, Lukas Käll, Joost Snijder

“…We evaluate the performance of the deep-learning tool ModelAngelo in determining de novo antibody sequences directly from reconstructed 3D volumes of antibody-antigen complexes. …”
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Simulation-based assessment of digital twin systems for immunisation by Leonardo de Oliveira El-Warrak, Claudio Miceli de Farias, Victor Hugo Dias Macedo De Azevedo Costa

“…BackgroundThis paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. …”
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Communication System Using Natural Language for Robotic Laparoscope Guidance by Pan Yan, Bernhard Lukas, Fan Cheng, Beckendorf Lukas, Wilhelm Dirk, Feußner Hubertus, Groh Georg

“…Also, our proposed conversational functions enable the finetuned large language models to understand the current natural language command given previous command history. …”
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Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus. by Giuseppe Maulucci, Ermanno Cordelli, Alessandro Rizzi, Francesca De Leva, Massimiliano Papi, Gabriele Ciasca, Daniela Samengo, Giovambattista Pani, Dario Pitocco, Paolo Soda, Giovanni Ghirlanda, Giulio Iannello, Marco De Spirito

“…To quantify this extent a machine learning approach is employed to develop a Decision-Support-System (DSS) able to recognize different fluidity patterns in RBC. …”
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Bibliometric analysis of reseach on rehabilitation training of developmental dysplasia of the hip by YOU Jiaxin, LI Gefang

“…Combined with the keywords co-occurrence and cluster analysis, the research on DDH rehabilitation training mostly focused on surgical methods, diagnosis, functional exercises, gross movements, preoperative simulation, family guidance, traditional Chinese medicine therapy, and complication prevention or treatment. …”
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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma by Qiao Li, Peng Feng, Shangyu Liu, Goupeng Tian, Guoqiang Yuan, Yawen Pan

“…By applying 101 machine learning models, five key genes (EZH2, TWIST1, EGR1, FOSL2, and TCF3) involved in glioma were identified. …”
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Tensor databases empower AI for science: A case study on retrosynthetic analysis by Xueya Zhang, Guoxin Kang, Boyang Xiao, Jianfeng Zhan

“…Retrosynthetic analysis focuses on exploring pathways from products to reactants, and this is typically conducted using deep learning-based generative models. However, existing retrosynthetic analysis often overlooks how reaction conditions significantly impact chemical reactions. …”
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The impact of teachers’ caring behavior on EFL learners’ academic engagement: the chain mediating role of self-efficacy and peer support by Manli Wu, Jingyi Cai

“…Furthermore, peer support and self-efficacy jointly functioned as a chain mediator, linking teachers’ caring behavior to academic engagement (VAF = 64.80%). …”
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OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison by Nathaniel Sean O’Connell, Jaime Lynn Speiser

“…In the future, we plan to add more datasets, particularly those with continuous outcomes, as well as functionality for users to submit their clustered datasets to be included in the repository.…”
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Fault Detection in Gearboxes Using Fisher Criterion and Adaptive Neuro-Fuzzy Inference by Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, Mohamed Benbouzid

“…When a failure occurs, it can lead to an inability to perform the required functions, potentially resulting in a complete shutdown of the mechanism and causing significant operational disruptions. …”
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Kisspeptin is elevated in the brain after intracerebral haemorrhagic stroke by Saumya Maheshwari, In Hwa Um, Struan Donachie, Nafeesa Asghar, Karina McDade, Tracey Millar, David J. Harrison, Javier A. Tello

“…Kisspeptin is a neuropeptide best known for its functions in reproductive biology, but recent preclinical studies have demonstrated that kisspeptins are upregulated in rodent models of haemorrhagic stroke. …”
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Unlocking sustainability impact: A systems thinking approach to identifying intraorganizational barriers by Carolina Bettker Vasconcelos, Klaus Henning, Yvonne van der Meer

“…To address this gap, a single case study was conducted to explore the barriers experienced by employees in supporting functions of a multinational corporation during sustainability projects. …”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…Concerning methods, early studies were conducted by machine learning algorithms such as support vector machine, decision tree, and random forest classifiers. …”
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Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets by Abbas Saffari, Seyed Hamid Zahiri, Navid Khozein Ghanad

“…The selected SVM classification is the most popular machine learning algorithm with three main kernel functions: RBF kernel, linear kernel, and polynomial kernel tested. …”
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New model for selection of applicants at the universities in the conditions Smart-society by Alexandr S. Molchanov, Tatiana G. Kalashnikova

“…The main core of the system -– its own route management. System functionality includes:– monitoring of the environment (demography, economics, education);– work with targets;– analysis of the previous route and its correlation with the target;– control and fixing the trajectory of learning;– additional control and validation competencies as the demand for an employer or educational institution, and at the request of the trainees;– forecasting and calculation of several route options, with a choice for the student’s request.Taking into account the changes in society and the division of labor, as well as a set of really existing and planned information systems, we can conclude the feasibility of practical implementation of the proposed model. …”
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Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods by Mohammad Javad Sobouti, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, Hamed Ahmadi

“…Unmanned aerial vehicles (UAVs) have emerged as a promising technology to enhance the performance and functionality of mobile networks. UAVs can act as flying base stations, relays, or users to provide wireless services to ground users or devices. …”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…We provide a formal security proof of the proposed scheme under the small-integer solution (SIS) and learning with errors (LWE) within the random oracle model. …”
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Comprehensive Comparative Analysis of Lower Limb Exoskeleton Research: Control, Design, and Application by Sk Hasan, Nafizul Alam

“…Control approaches vary from traditional impedance and fuzzy logic models to advanced data-driven frameworks, including reinforcement learning, recurrent neural networks, and digital twin-based optimization. …”
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