YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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Target-aware unregistered infrared and visible image fusion by Dengshu Hu, Ke Wang, Cuijin Zhang, Zheng Liu, Yukui Che, Shoubing Dong, Chuirui Kong

“…To address this issue, we propose a novel method that enables mutual enhancement between infrared-visible image fusion and object detection, specifically designed to handle misaligned source images. …”
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Western spotted skunk spatial ecology in the temperate rainforests of the Pacific Northwest by Marie I. Tosa, Damon B. Lesmeister, Taal Levi

“…Using these home ranges, we fitted a resource selection function using environmental covariates that we assigned to various hypotheses such as resources, predator avoidance, thermal tolerance, and disturbance. …”
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Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition by Sayyed Saeed Moosavi, Mohammad Reza Abdollahi, Fatemeh Abdi, Homayoun Kanouni

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A Multi-Goal Particle Swarm Optimizer for Test Case Prioritization by Muhammad Nazir, Arif Mehmood, Waqar Aslam, Yongwan Park, Gyu Sang Choi, Imran Ashraf

“…However, test case prioritization for multi-objective functions is a complex and time-consuming task. A check suite may be organized in a certain order by an appropriate technique, subsequently permitting the detection of flaws as early as possible. …”
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Сurrent state of clinical significance of early kidney injury markers by D. N. Khotko, A. I. Khotko, A. I. Tarasenko, A. O. Efimova

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System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

“…The relative description on the components of the lattice function of the spectrum of emergency discharges is used, constructed using the order ratio between the components of the lattice function.The emergency discharge identification can be implemented by comparing the relative description of the emergency discharge spectrum with the reference spectra for the harmful substances that can be present at the given industrial facility, and the standards of the spectra of these substances are presented in the form of a relative description using the ratio “more”–“less”.The authors provide a flow chart for the emergency discharge elimination system, describe its operation and the functions fulfilled by its elements. …”
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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

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Functional food candidate from Indonesian green algae Caulerpa racemosa (Försskal) J. Agardh by two extraction methods: Metabolite profile, antioxidant activity, and cytotoxic prop... by Nurpudji Astuti Taslim, Hardinsyah Hardinsyah, Son Radu, Nelly Mayulu, Apollinaire Tsopmo, Rudy Kurniawan, Trina Ekawati Tallei, Tati Herlina, Iman Permana Maksum, Fahrul Nurkolis

“…There is an urgent need to explore natural sources like Caulerpa racemosa (Försskal) J. Agardh for bioactive compounds with strong antioxidant and therapeutic potential, providing sustainable alternatives for health and pharmaceutical innovation. …”
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Nonuniform Doppler extraction-enhanced multichannel extensive cancellation algorithm for passive radar using Iridium satellite signals by Hongwei Fu, Zhang Zhang, Yu Luo, Tingting Fu, Jianglin Li, Xin Jian, Hao Cha

“…Abstract Passive radar (PR) relies on receiving signals reflected from targets by other existing noncooperative radiation sources, which are broadly divided into ground- and space-based categories, to achieve target detection and tracking. …”
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SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. Through these innovations, SDES-YOLO not only improves detection accuracy but also optimizes computational efficiency, making it effective even in resource-constrained environments.…”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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Enhancement of Corn Flour with Carob Bean for Innovative Gluten-Free Extruded Products by Marta Igual, Rosa M. Cámara, Francesca Fortuna, Patricia García-Herrera, Mercedes M. Pedrosa, Purificación García-Segovia, Javier Martínez-Monzó, Montaña Cámara

“…The aim of this work is to study new, extruded products based on corn flour enriched with carob bean and the evaluation of its functional quality to develop novel gluten-free food products. …”
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Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

“…A novel treatment validation mechanism was implemented by analyzing pupil-to-stimulus distance frame-by-frame, confirming reliable eye tracking and the system’s potential for detecting microstrabismus. This open-source, portable prototype is suitable for community health screening and educational use, particularly in low-resource settings.…”
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A Novel Liquid Chromatographic Time-of-Flight Tandem Mass Spectrometric Method for the Determination of Secondary Metabolites in Functional Flours Produced from Grape Seed and Oliv... by Achilleas Panagiotis Zalidis, Natasa P. Kalogiouri, Ioannis Mourtzinos, Dimitris Sarris, Konstantinos Gkatzionis

“…Grape seed and olive stone flours from Lemnos and commercial sources were analyzed employing target, suspect, and non-target screening. …”
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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

“…Future research will integrate functionalities like pedestrian detection and vehicle tracking to further enhance smart transportation systems. …”
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Productivity, activity of digestive and antioxidant enzymes of carp (Cyprinus carpio Linnaeus, 1758) as a result of the use of inulin in low-nutrient feeds by O. Deren, O. Dobrianska, M. Koryliak

“…The practical use of the knowledge gained outlines the possibility of optimizing the production of fish when introducing resource-saving technologies in aquaculture.…”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm by Xuyi Chen, Mingxi Ma, Chengkui Liu, Haifeng Xie, Shaoqi Wang

“…In this problem, this paper establishes an interference resource optimization model with radar detection probability, interference effectiveness, and interference bandwidth utilization as the objective functions. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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