Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…The proposed approach further integrates a variable-parameter PSO (VP-PSO) algorithm to optimize both fuzzy membership functions and controller parameters. Comprehensive simulations demonstrate 100% detection accuracy for both PV and wind farm islanding scenarios, significantly outperforming conventional methods: standard SFS (84-86%), type-1 fuzzy SFS (89-91%), and neural network approaches (94-95%). …”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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A Method for Extracting Features of the Intrinsic Mode Function’s Energy Arrangement Entropy in the Shaft Frequency Electric Field of Vessels by Xiaoguang Ma, Zhaolong Sun, Runxiang Jiang, Xinquan Yue, Qi Liu

“…To address the challenge of detecting low-frequency electric field signals from vessels in complex marine environments, a vessel shaft frequency electric field feature extraction method based on intrinsic mode function energy arrangement entropy values is proposed, building upon a scaled model. …”
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Scalable Electrochemical Synthesis of Novel Biogenic Silver Nanoparticles and Its Application to High-Sensitive Detection of 4-Nitrophenol in Aqueous System by Van-Tuan Hoang, Ngo Xuan Dinh, Tuyet Nhung Pham, Tran Vinh Hoang, Pham Anh Tuan, Tran Quang Huy, Anh-Tuan Le

“…Under a direct-current voltage source, the biomolecules in GTE can release electrons to promote the reducing process of Ag+ to Ag0. …”
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The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

“…This study aimed to develop and evaluate the accuracy of a stunting risk detection application based on nutrition and sanitation indicators in children aged under five years. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

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Sheath Voltage Limiter Defects Detection Method Based on Harmonic Phasor Differences of Sheath Current for Cross-Bonded HV Cable by Hao Hu, Jing Tu, Yongheng Ai, Zhanran Xia, Ruoxin Song, Bin Yang, Xinyun Gao, Zhi Li, Fuyuan Liu, Hang Wang

“…By establishing a frequency-domain equivalent model of cross-bonded HV cables combined with SVL nonlinear resistance characteristics, harmonic currents under defect conditions are treated as harmonic sources injected into the sheath loop. Transfer functions analyze the impacts of SVL defects on sheath currents, revealing that harmonic content during SVL defects is significantly higher than under normal conditions and other defect types. …”
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Industrial production and functional profiling of probiotic Pediococcus acidilactici 72 N for potential use as a swine feed additive by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

“…Abstract This study aimed to achieve industrial-scale production of the Thai native swine-derived probiotic strain Pediococcus acidilactici 72 N (P72N) using a cost-effective, food-grade modified medium, and to assess the efficacy of this medium by evaluating the probiotic’s functional characteristics and metabolomic profile. …”
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Saponins from <i>Solanum nigrum</i> L. Fruit: Extraction Optimization, Structural Characterization, and Dual-Functional Efficacy by Shuyuan Chen, Weiyun Guo, Tonghe Zhang, Jianfang Chen, Li Huang, Jihong Huang, Ruqiang Huang

“…., a widely consumed Asian medicinal edible plant, is a promising source of bioactive saponins for functional food applications. …”
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Nutritional and Functional Characterization of Flour from Seeds of Chañar (<i>Geoffroea decorticans</i>) to Promote Its Sustainable Use by Marisa Ayelen Rivas, Enzo Agustin Matteucci, Ivana Fabiola Rodriguez, María Alejandra Moreno, Iris Catiana Zampini, Adriana Ramon, María Inés Isla

“…A high polyphenol and dietary fiber content was detected. Flavonoids and condensed tannins were the dominant phenolics. …”
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PATHOLOGICAL SIGNS OF EPILEPTIC AND NON-EPILEPTIC ORIGIN DETECTED IN AWAKE/SLEEP EEG PATTERNS DURING OUTPATIENT AND INPATIENT MONITORING: PROBLEMS OF INTERPRETATION by V. V. Gnezditskiy, O. S. Korepina, V. A. Karlov, G. B. Novoselova

“…The aims of this study were: (a) to elucidate the role of prolonged computerized EEG in assessing the brain function in patients with focal lesions (stroke consequences, tumor, etc.), and (b) to summarize the experience of using outpatient and inpatient EEG monitoring in neurological practice.Materials and methods. …”
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Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

“…The influence of the excitation power on the detection limit was studied through experiments, and the configuration results for LED/LD as light sources and 487/450 nm wavelengths were compared and optimized. …”
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Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

“…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

“…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

“…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

“…Given the dense growth of blueberry plants and small fruit size, detecting blueberry maturity at long distances poses significant challenges. …”
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Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

“…Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…Electroencephalograms (EEGs) are essential for diagnosing epilepsy, but conventional detection techniques depend on manual analysis, which can be labor-intensive and susceptible to inaccuracies. …”
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Using hyperspectral reflectance to detect changes in photosynthetic activity in Atractylodes chinensis leaves as a function of decreasing soil water content by J. LIU, Y. WANG, X.M. LIN, Z.C. XUE, F.R. ZENG

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