Associations between organophosphorus pesticides exposure and age-related macular degeneration risk in U.S. adults: analysis from interpretable machine learning approaches by Yu-Xin Jiang, Si-Yu Gui, Xiao-Dong Sun

“…CONCLUSION: Urinary DAP metabolites of OPPs exposure are associated with AMD risk and ML algorithms show the excellent generalizability and differentiability in the course of AMD risk prediction.…”
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Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

“…<b data-eusoft-scrollable-element="1">Conclusions:</b> These findings highlight the system’s potential for clinical use while emphasizing the need for further algorithmic refinements to improve precision in area calculations.…”
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning by Ittipon Khuimphukhieo, Jose Carlos Chavez, Chuanyu Yang, Lakshmi Akhijith Pasupuleti, Ismail Olaniyi, Veronica Ancona, Kranthi K. Mandadi, Jinha Jung, Juan Enciso

“…Furthermore, random forest and eXtreme gradient boosting were promising algorithms in classifying the levels of HLB severity. …”
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Artificial intelligence in the diagnosis and management of dysphagia: a scoping review by Rayane Délcia da Silva, Suzanne Bettega Almeida, Flávio Magno Gonçalves, Bianca Simone Zeigelboim, José Stechman-Neto, Angela Graciela Deliga Schroder, Weslania Viviane Nascimento, Rosane Sampaio Santos, Cristiano Miranda de Araujo

“…Regarding the underlying diseases present in the patients who participated in the studies, there was a predominance of various neurological conditions. The algorithms used varied across the categories of Machine Learning, Deep Learning, and Computer Vision, with a predominance in the use of Deep Learning. …”
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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

“…The sampling rate is 5 Hz, 2) applying various state-of-the-art machine learning algorithms to the data. The best classifier is selected based on accuracy on normal and corrupted noisy data, 3) updating the results on a semi-digital twin model of the actual machine for the operator to decide the needed action. …”
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A Multi-Source Transfer Joint Matching Method for Inter-Subject Motor Imagery Decoding by Fulin Wei, Xueyuan Xu, Tianyuan Jia, Daoqiang Zhang, Xia Wu

“…Besides that, we design an inter-subject MI decoding framework to verify the effectiveness of these two MSTL algorithms. It mainly consists of three modules: covariance matrix centroid alignment in the Riemannian space, source selection in the Euclidean space after tangent space mapping to reduce negative transfer and computation overhead, and further distribution alignment by MSTJM or wMSTJM. …”
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A lightweight knowledge graph-driven question answering system for field-based mineral resource survey by Mingguo Wang, Chengbin Wang, Jianguo Chen, Bo Wang, Wei Wang, Xiaogang Ma, Jiangtao Ren, Zichen Li, Yicai Ye, Jiakai Zhang, Yue Wang

“…In this study, we proposed and built a workflow that employs knowledge graph techniques, deep learning, question templates, and matching algorithms to provide a lightweight question-answering service for field-based geologists involved in mineral resource surveys. …”
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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

“…Deep Neural Networks (DNNs) have emerged as a prominent set of algorithms for complex real-world applications. However, state-of-the-art DNNs require a significant amount of data and computational resources to train and generalize well for real-world scenarios. …”
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An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlineszenodo by Salma Kazemi Rashed, Malou Arvidsson, Rafsan Ahmed, Sonja Aits

“…In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.We have created a dataset, named Aitslab_bioimaging2, consisting of 60 fluorescence microscopy images with EGFP-Galectin-3 labelled cells and their hand-labelled outlines. …”
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Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece by Michele Licata, Francesco Seitone, Efthimios Karymbalis, Konstantinos Tsanakas, Giandomenico Fubelli

“…Upgrades to GOGIRA’s hardware and algorithms were carried out to improve its mapping accuracy. …”
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Advancing multidisciplinary management of pediatric hyperinflammatory disorders by Francesco La Torre, Giovanni Meliota, Adele Civino, Angelo Campanozzi, Valerio Cecinati, Enrico Rosati, Emanuela Sacco, Nicola Santoro, Ugo Vairo, Fabio Cardinale

“…The review advocates for a multidisciplinary approach, integrating standardized diagnostic algorithms and disease-specific expertise to optimize patient care. …”
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Course and Outcomes of Acute Coronary Syndrome in the Presence of New Coronavirus Infection COVID-19 by L. S. Kokov, S. S. Petrikov, M. M. Pisankina, E. A. Dashevsky, K. A. Popugayev, M. V. Parkhomenko, I. M. Kuzmina, I. S. Babayan, K. I. Vorontsova, L. T. Khamidova, E. V. Klychnikova, S. P. Goncharov, A. A. Spassky, A. I. Kramarenko

“…A poor prognostic value of low left ventricular ejection fraction in patients with COVID-19 disease has been described.Conclusions The development of acute coronary syndrome in the course of COVID-19 significantly worsens the prognosis of the disease, which requires the development of algorithms for providing medical care to patients in this category, as well as maximum vigilance in their treatment.…”
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C2L3-Fusion: An Integrated 3D Object Detection Method for Autonomous Vehicles by Thanh Binh Ngo, Long Ngo, Anh Vu Phi, Trung Thị Hoa Trang Nguyen, Andy Nguyen, Jason Brown, Asanka Perera

“…This paper details the methodology, mathematical formulations, algorithmic advancements, and real-world testing of C2L3-Fusion, offering a comprehensive solution for 3D object detection in autonomous navigation.…”
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Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…The main challenges that slow down the widespread implementation of the analyzed systems in practical applications are identified, namely the lack of unified testing methods, energy consumption of complex systems, lack of realistic datasets, the problem of integrating algorithms into various control systems. Promising directions for further research are identified, which include the development of energy-efficient navigation solutions, the integration of deep learning, and the creation of specialized hardware. …”
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Comprehensive evaluation of phosphoproteomic-based kinase activity inference by Sophia Müller-Dott, Eric J. Jaehnig, Khoi Pham Munchic, Wen Jiang, Tomer M. Yaron-Barir, Sara R. Savage, Martin Garrido-Rodriguez, Jared L. Johnson, Alessandro Lussana, Evangelia Petsalaki, Jonathan T. Lei, Aurelien Dugourd, Karsten Krug, Lewis C. Cantley, D. R. Mani, Bing Zhang, Julio Saez-Rodriguez

“…We used benchmarKIN to evaluate kinase-substrate libraries, inference algorithms and the potential of adding predicted kinase-substrate interactions to overcome the coverage limitations. …”
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Post-varicella vaccination uveitis in a child with nephrotic syndrome receiving immunosuppressive treatment: a case report by Catarina Andrade, Catarina Andrade, Miguel de Almeida Cordeiro, Rute Baeta Baptista, Rute Baeta Baptista, Rute Baeta Baptista, Beatriz Sousa Nunes, Beatriz Sousa Nunes, Ana Margarida Garcia, Ana Margarida Garcia, Ana Margarida Garcia, Tiago Milheiro Silva, Tiago Milheiro Silva, Tiago Milheiro Silva, Marta Valente Pinto, Marta Valente Pinto, Marta Valente Pinto, Marta Valente Pinto

“…Emerging vaccination strategies incorporate pre-vaccination risk stratification algorithms based on immunological criteria. We present a case of a five-year-old male with corticosteroid-dependent nephrotic syndrome, in complete remission on mycophenolate mofetil therapy, who received the varicella vaccine after meeting immunocompetence criteria. …”
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Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

“…A total of 188 valid collaborative events collected from 78 graduate students who engaged in three collaborative ideation tasks were analyzed using various machine learning algorithms applied to classify cognitive load levels. …”
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Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems by Hongming Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni, J. Andrew Zhang, Ren Ping Liu

“…Finally, this review identifies critical open questions and promising future research paths, including ultra-lightweight models, robust algorithms for heterogeneity, machine unlearning, standardized benchmarks, novel FL paradigms, and next-generation security. …”
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Discovering New Tyrosinase Inhibitors by Using In Silico Modelling, Molecular Docking, and Molecular Dynamics by Kevin A. OréMaldonado, Sebastián A. Cuesta, José R. Mora, Marcos A. Loroño, José L. Paz

“…<b>Methods</b>: Four machine learning algorithms and topographical descriptors were tested for model construction. …”
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Mining industry networks influence the diffusion of innovations in the battery minerals sector by Bernardo Mendonca Severiano, Stephen A Northey, Damien Giurco

“…We focused on the top-producing countries for lithium, nickel, and manganese, utilising network-based diffusion algorithms to model the channels potentially available for the dissemination of innovations. …”
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