Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…The importance of this work is in the opportunity to shift diagnostic paradigms by employing deep learning algorithms, including CNNs, LSTM networks, and GNNs to analyze spatial, temporal, and relational patterns across multi-modal data. …”
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Organization of Expert Activity on Digital Network Platforms by V. V. Zotov

“…Currently, expert-analytical activity is being developed on digital network platforms as sociotechnical systems that organize algorithmized relationships between actors and actant in the field of assessing a problem situation and making decisions to resolve it. …”
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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…Abstract The main stream of Linguistic Data Summarization involves modeling numerical attributes using linguistic variables, which makes it difficult addressing real-world problems with qualitative or mixed data. …”
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Nanoscale frontiers in cancer diagnosis and therapy by Tamer A. Addissouky

“…The review also addresses emerging ethical and technical challenges, including data privacy and algorithmic transparency, as nanomedicine moves toward clinical reality. …”
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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

“…Detecting the parasite and defining the intervention thresholds for effective treatment is a difficult and time-consuming task; different detection methods exist, but they are mainly based on human eye observations, resulting in low accuracy. …”
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Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling by Y. Zeng, C. Brown, C. Brown, J. Raymond, M. Byari, R. Hotz, M. Rounsevell, M. Rounsevell, M. Rounsevell

“…The opportunities include, exploring naturalistic institutional decision-making, handling massive institutional documents, and human–AI cooperation. Challenges mainly lie in the scalability, interpretability, and reliability of LLMs.…”
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The Optimization of Stand Structure Can Significantly Alleviate the Flammability of Forest Ecosystems by Yan Zhang, Xiangwen Deng, Xiaoyong He, Xiaolong Zhang, Zhihong Huang, Liang Chen, Shuai Ouyang, Wenhua Xiang

“…The high flammability fuels mainly consisted of plant leaves and litter components. …”
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Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control by Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu

“…However, the current decomposition-based myoelectric control mainly focuses on discrete gestures or single-DoF continuous movements. …”
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SPCB-Net: A Multi-Scale Skin Cancer Image Identification Network Using Self-Interactive Attention Pyramid and Cross-Layer Bilinear-Trilinear Pooling by Xin Qian, Tengfei Weng, Qi Han, Chen Wu, Hongxiang Xu, Mingyang Hou, Zicheng Qiu, Baoping Zhou, Xianqiang Gao

“…This paper proposes a multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling(SPCB-Net), which mainly consists of three proposed sub-modules that are the self-interacting attention pyramid (SAP), the across-layer bilinear-trilinear pooling operation and the global average algorithm(GAA). …”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…Furthermore, GO and KEGG enrichment analyses of the differentially expressed genes related to TOM40 showed that these genes are mainly associated with immunity and tumorigenesis. …”
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Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor by Najib El Karkouri, Lahcen Hassine, Younes Ledmaoui, Hasna Chaibi, Rachid Saadane, Nourddine Enneya, Mohamed El Aroussi

“…The study relies on applying advanced mathematical modeling techniques and analyzing several datasets to train various machine learning algorithms. The main objective is to identify optimized routes, combining high safety standards, reduced costs, and shorter transport times. …”
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Creation of a cell culture bank: experience of the Pokrovsky Cell Technology Center by E. M. Prikhodko, O. V. Supilnikova, I. V. Maslennikova, N. I. Yenukashvili, A. V. Kotova, V. V. Bagaeva, T. L. Zolina, A. I. Konkina, G. S. atsemirsky

“…The developed approaches and work algorithms made it possible to create a collection of early passage cultures consisting of certified samples that meet the requirements for cell cultures for the manufacture of high-tech drugs and biomedical cell products, as well as for research.…”
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Application of Machine Learning to Statistical Evaluation of Artificial Rainfall Enhancement by Li Dan, Lin Wen, Liu Qun, Feng Hongfang, Hu Shuping, Wang Zhihai

“…Different historical regression statistical test schemes of rainfall enhancement effects are compared and analyzed, aiming to further optimize the best natural rainfall estimation algorithm based on alterable contrast area with statistical method, which can provide reference for the assessment of artificial rainfall enhancement effects. …”
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Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution by SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun

“…And then the L-R deconvolution algorithm based on the system response matrices was used to improve the saliency of weak peaks. …”
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X-RAY MORPHOLOGICAL SEMIOTICS OF NON-TUBERCULOUS MYCOBACTERIAL PULMONARY DISEASE by R. B. Amansakhedov, L. N. Lepekha, L. I. Dmitrieva, I. Yu. Andrievskaya, A. T. Sigaev, N. N. Makar’yants, V. V. Romanov, A. E. Ergeshov

“…In 70.3% of cases, the foci were asymmetrically localized mainly in the subpleural areas of the lung and 12.3% of cases were accompanied by reactive involvement of the visceral pleura.CT study revealed a tree-in-bud sign in 96.7% of cases, frosted glass in 10.2%, and mosaic perfusion in 13.2%. …”
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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Conclusion Previous research on Instagram has mainly emphasized likes and comments as customer engagement behaviors. …”
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Modelación numérica del concreto simple con elementos finitos mediante la teoría de la plasticidad y la función de fluencia de Hu y Schnobrich Numerical modeling of the simple conc... by Luis Rodríguez, Dorian Linero

“…<br>This article describes the formulation, implementation and validation of a constitutive model in the finite element method, which it represents the mechanical behavior of plain concrete subjected mainly to compression, considering the plane stress state and infinitesimal strain. …”
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Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. …”
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Assessment of Risks of Voltage Quality Decline in Load Nodes of Power Systems by Pylyp Hovorov, Roman Trishch, Romualdas Ginevičius, Vladislavas Petraškevičius, Karel Šuhajda

“…The results of numerous studies show that the control of power grid modes is carried out mainly using a technical criterion. The economic criterion is taken into account through the use of complex and inaccurate models that do not accurately predict the result. …”
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Artificial Intelligence in Biomedical Sciences: A Scoping Review by Rasha Abu-El-Ruz, Ali Hasan, Dima Hijazi, Ovelia Masoud, Atiyeh M. Abdallah, Susu M. Zughaier, Maha Al-Asmakh, Maha Al-Asmakh

“…Scope (2): AI in biomedical sciences by region, showing that publications on AI in biomedical sciences mainly originate from high-income countries, particularly the USA. …”
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