MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets by Jared Lichtarge, Gerarda Cappuccio, Gerarda Cappuccio, Soumya Pati, Soumya Pati, Alfred Kwabena Dei-Ampeh, Alfred Kwabena Dei-Ampeh, Senghong Sing, Senghong Sing, Senghong Sing, LiHua Ma, Zhandong Liu, Zhandong Liu, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic

“…These findings suggest that different metabolic pathways play a critical role at different stages of cellular development, each contributing to diverse cellular functions.DiscussionOur study demonstrates the efficacy of the MetaboLINK approach in analyzing NMR-based longitudinal metabolomic datasets, highlighting key metabolic shifts during cellular transitions. …”
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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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Inflammatory Gene Signature Identified by Machine Algorithms Reveals Novel Biomarkers of Coronary Artery Disease by Liu X, Zhang Y, Wang Y, Xu Y, Xia W, Liu R, Xu S

“…Furthermore, machine learning algorithms were employed to identify biomarkers. A nomogram was developed based on these biomarkers. …”
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Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles by Lihan Lai, Yun Su, Cong Hu, Zehong Peng, Wei Xue, Liang Dong, Tony Y. Hu

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Elite Evolutionary Discrete Particle Swarm Optimization for Recommendation Systems by Shanxian Lin, Yifei Yang, Yuichi Nagata, Haichuan Yang

“…Recommendation systems (RSs) play a vital role in e-commerce and content platforms, yet balancing efficiency and recommendation quality remains challenging. …”
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Improved Quantum Artificial Bee Colony Algorithm-Optimized Artificial Intelligence Models for Suspended Sediment Load Predicting by Peng Wei, Wang Yu

“…This study proposes a quantum bee colony algorithm based on Boltzmann’s selection and dimensional dynamic update strategy (BDQABC). …”
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The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh Ann-Ni, Puah Chin-Hong, Mohammad Affendy Arip, Jong Meng-Chang

“…The model’s accuracy rate was at a promising 92% based on the variable importance assessment using random forest algorithms. …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

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The Role of Artificial Intelligence (AI) in the Future of Forestry Sector Logistics by Leonel J. R. Nunes

“…Methods: This study combines a literature review and case analysis to assess the impact of AI on forestry logistics. Machine Learning algorithms, optimization systems, and monitoring tools based on the Internet of Things (IoT) and computer vision were analyzed to assess impacts in areas such as transportation planning, inventory management, and forest monitoring. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…To address this, we introduce Claude-Light, a lightweight, remotely accessible instrument designed for prototyping automation algorithms and machine learning workflows. Claude-Light integrates a REST API, a Raspberry Pi-based control system, and an RGB LED with a photometer that measures ten spectral outputs, providing a controlled but realistic experimental environment. …”
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A Framework for Constructing Large-Scale Dynamic Datasets for Water Conservancy Image Recognition Using Multi-Role Collaboration and Intelligent Annotation by Xueying Song, Xiaofeng Wang, Ganggang Zuo, Jiancang Xie

“…Two supporting tools were developed: an image classification modification tool that automatically adapts to changes in categories and an automatic annotation tool with rotation-angle perception based on the rotation matrix algorithm. Experimental results show that this method increases annotation efficiency by 40% compared to traditional approaches, while achieving 100% annotation consistency after classification modifications. …”
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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Abstract This study investigates the role of symbolic content, including social, cultural, and political imagery, in shaping algorithmic biases within YouTube’s recommendation system, using the 2024 Taiwanese presidential election as a case study. …”
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Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…To study the possibility of using artificial intelligence technologies to implement algorithms based on the potential of mismatch negativity (MMN) and the possibility of their application in industrial automated systems of predictive or prescriptive maintenance, as well as to develop a basic MMN algorithm and implement it in the Python programming language.Results. …”
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Automated metadata transformation in a medical data integration center: Implementation of an algorithm and standardized quality analysis by Bönisch, Caroline

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Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm. by Rudy Clausen, Buyong Ma, Ruth Nussinov, Amarda Shehu

“…Doing so through a detailed characterization of structure spaces and underlying energy landscapes is desirable but continues to challenge methods based on Molecular Dynamics. In this paper we propose a novel algorithm, SIfTER, which is based instead on stochastic optimization to circumvent the computational challenge of exploring the breadth of a protein's structure space. …”
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Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review by Aurelia Morabito, Giulia De Simone, Roberta Pastorelli, Laura Brunelli, Manuela Ferrario

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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

“…In addition to their size, morphology of the particles also plays a key role in defining various physicochemical properties. …”
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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. …”
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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…Given the critical role of battery performance in WSN reliability, efficient energy management through Maximum Power Point Tracking (MPPT) algorithms is essential to adapt to variable environmental conditions such as solar irradiance and ambient temperature.Objective: This study aims to comparatively assess the performance of four widely adopted MPPT algorithms-Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic (FL), and Particle Swarm Optimization (PSO)-in enhancing battery charging efficiency in PV-powered WSNs under dynamic environmental conditions.Methods: A simulation-based evaluation framework was developed using MATLAB/Simulink to model a PV-powered WSN system. …”
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Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data by Afidatul Masbakhah, Umu Sa'adah, Mohamad Muslikh

“…One of the SI-based optimization algorithms is the FOX-Inspired Optimization Algorithm. …”
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