Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Additionally, the method attained a Blue Applicability Grade Index (BAGI) score of 67.5, confirming its high applicability and resource-efficient design. Conclusion: This approach offers high sensitivity, short extraction time, and excellent selectivity and reproducibility, making it well suited for trace analysis of tolmetin in complex matrices.…”
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A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

“…However, previous studies on wood–leaf separation exhibited limitations in unsupervised adaptability and robustness to complex tree architectures, while demonstrating inadequate performance in fine branch detection. …”
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Tree Species Detection and Enhancing Semantic Segmentation Using Machine Learning Models with Integrated Multispectral Channels from PlanetScope and Digital Aerial Photogrammetry i... by Arun Gyawali, Mika Aalto, Tapio Ranta

“…This study aimed to detect and classify young forest tree species using remote sensing imagery and machine learning techniques. …”
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Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection by Wang Guiqiang, Chen Junbao, Li Chengzhang, Lu Shuo

“…The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. …”
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Applications and Prospects of CRISPR/Cas9 Technology in the Breeding of Major Tropical Crops by Lixia Zhou, Xianhai Zeng, Yaodong Yang, Rui Li, Zhihao Zhao

“…However, the modern molecular breeding of these crops is severely hampered by their biological characteristics and genetic complexity. Issues such as polyploidy, heterozygosity, vegetative propagation, long juvenile periods, and large plant sizes result in time consuming, low efficiency, and slow progress in conventional breeding of the major tropical crops. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Both developed circuits featured the deployment of the STM32F103C8T6 microcontroller, renowned for its robust capabilities and cost efficiency.In the interrupt-based algorithm's development, the microcontroller's external interrupt was used, selecting its sensitivity to detect both rising and falling edges. …”
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ChipletQuake: On-Die Digital Impedance Sensing for Chiplet and Interposer Verification by Saleh Khalaj Monfared, Maryam Saadat Safa, Shahin Tajik

“…The increasing complexity and cost of manufacturing monolithic chips have driven the semiconductor industry toward chiplet-based designs, where smaller, modular chiplets are integrated onto a single interposer. …”
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Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…Currently, traditional methods for change detection, such as field surveys and visual interpretation, suffer from time inefficiencies, complexity, and high resource consumption. …”
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Hydrodynamic performance of a novel suturelessprosthetic aortic valve by K. Yu. Klyshnikov, E. A. Ovcharenko, Yu. A. Kudryavtseva, L. S. Barbarash

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Identification of potential dual α-amylase and α-glucosidase inhibitory peptides from Humulus scandens through multi-step virtual screening, molecular docking, ligand efficiency an... by De Xin Dang, Shi Qi Xu, Desheng Li, Huan Wang, Xinhua Xia, Shaoyong Xu

“…Molecular dynamics simulations further supported the stability of YPW-enzyme complexes, with root mean square deviation and root mean square fluctuation values lower than those of acarbose-bound complexes. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…The MARL framework enables decentralized decision-making among multiple agents, offering superior adaptability to complex and rapidly evolving channel conditions. Comparative analyses with established methods, including Multi-Armed Bandit (MAB), Random Selection, Deep Q-Network (DQN), and Hierarchical Reinforcement Learning (HRL), reveal substantial improvements in system performance. …”
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Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations] by Srinivasarao Thota, Rakshitha T, Thulasi Bikku

“…Conclusion This study presents a hybrid approach to Matrix Chain Multiplication by integrating Strassen’s algorithm, reducing execution time and memory usage. By selectively applying Strassen’s method for large matrices, the proposed technique improves efficiency while preserving accuracy. …”
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Filtering airborne LiDAR data based on multi-view window and multi-resolution hierarchical cloth simulation by Shangshu Cai, Yong Pang, Sisi Yu, Xiangguo Lin, Xinlian Liang

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Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions by Khaled Chahine

“…Machine learning (ML) techniques have permeated various domains, offering intelligent solutions to complex problems. ML has been increasingly explored for applications in active power filters (APFs) due to its potential to enhance harmonic compensation, reference signal generation, filter control optimization, and fault detection and diagnosis. …”
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A comparative study of neural network pruning strategies for industrial applications by Amirhossein Douzandeh Zenoozi, Laura Erhan, Antonio Liotta, Lucia Cavallaro

“…IntroductionIn recent years, Deep Learning (DL) and Artificial Neural Networks (ANNs) have transformed industrial applications by providing automation in complex tasks such as anomaly detection and predictive maintenance. …”
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Attention-based BiLSTM-XGBoost model for reliability assessment and lifetime prediction of digital microfluidic systems by Lifeng He, Qili Yang, Junxi Chen, Wenjing Liu, Zhijie Luo

“…This often leads to evaluation lag and limits their application, especially for complex droplets. To address these issues, this study proposes a novel prediction model for digital microfluidic (DMF) devices. …”
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Numerical Methods of Solving Cauchy Problems with Contrast Structures by A. A. Belov, N. N. Kalitkin

“…Modern numerical methods allowing to solve contrast structure problems in the most efficient way are described. These methods include explicit-implicit Rosenbrock schemes with complex coefficients and fully implicit backward optimal Runge–Kutta schemes. …”
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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…However, this proliferation introduces complex challenges in efficiently managing limited resources—such as bandwidth, energy, and processing capacity, especially in dynamic and heterogeneous IoT networks. …”
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Validation of a comprehensive long-read sequencing platform for broad clinical genetic diagnosis by Siddhartha Sen, Hillary P. Handler, Alec Victorsen, Zach Flaten, Aidan Ellison, Todd P. Knutson, Sarah A. Munro, Ryan J. Martinez, Charles John Billington, Jennifer J. Laffin, Sarah Bray, Pawel Mroz, Sophia Yohe, Andrew C. Nelson, Matthew Bower, Bharat Thyagarajan

“…The implementation of a unified comprehensive technique that can simultaneously detect a broad spectrum of genetic variation would substantially increase efficiency of the diagnostic process. …”
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Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse by LIU Xinpu, ZHAO Chunlei, LI Zhifeng, FENG Chao

“…ObjectiveImprove the accuracy and robustness of maturity detection of pitaya fruit.MethodsCombining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm, an efficient and accurate automatic identification method for pitaya fruit maturity was proposed. …”
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