Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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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

“…It accurately detected children at risk of stunting with an AUC of 89.6%. …”
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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

“…Detecting DoW threats involves monitoring and analyzing the system-level resource consumption of specific bare-metal mechanisms. …”
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Glycylglycine promotes the solubility and antigenic utility of recombinant HCV structural proteins in a point-of-care immunoassay for detection of active viremia by Heba Shawky, Ashraf A. Tabll, Reem M. Elshenawy, Naiera M. Helmy, Rehab I. Moustafa, Yasser K. Elesnawy, Marwa M. Abdelghany, Yasmine S. El-Abd

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GYS-RT-DETR: A Lightweight Citrus Disease Detection Model Based on Integrated Adaptive Pruning and Dynamic Knowledge Distillation by Linlin Yang, Zhonghao Huang, Yi Huangfu, Rui Liu, Xuerui Wang, Zhiwei Pan, Jie Shi

“…Given the serious economic burden that citrus diseases impose on fruit farmers and related industries, achieving rapid and accurate disease detection is particularly crucial. In response to the challenges posed by resource-limited platforms and complex backgrounds, this paper designs and proposes a lightweight method for the identification and localization of citrus diseases based on the RT-DETR-r18 model—GYS-RT-DETR. …”
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A Dual-Functional and Efficient MOF-5@MWCNTs Electrochemical Sensing Device for the Measurement of Trace-Level Acetaminophenol and Dopamine by Jianxia Gu, Shuting Lang, Zhanbin Jin, Tingting Wei

“…The design and construction of dual-functional and high-efficiency electrochemical sensors are necessary for quantitative detection. …”
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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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Dioctylsulfosuccinate Functionalized NiAl-Layered Double Hydroxide for Sensitive Fenuron Electroanalysis Using a Carbon Paste Electrode by Aude Peggy Kameni Wendji, Herve Leclerc Tcheumi, Ignas Kenfack Tonle, Emmanuel Ngameni

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Conscious and unconscious perception of pitch shifts in auditory feedback during vocalization: Behavioral functions and event-related potential correlates by Daniel Suchý, Roozbeh Behroozmand, Henry Railo

“…Source localization of the ERPs suggested that conscious pitch shift detection was associated with increased neural activity within the temporal, frontal and parietal cortical networks known to be involved in speech motor control. …”
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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

“…Conventional and statistical optimization techniques were used to screen food-grade carbon sources (glucose, dextrose, sucrose) and nitrogen sources (beef extract, yeast extract, sweet whey) to develop the optimal formulation. …”
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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction by Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang

“… This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function tests, and arterial blood gas (ABG) analysis. …”
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Inverted ILM Flap Technique in Idiopathic Full-Thickness Macular Hole Surgery: Functional Outcomes and Their Correlation with Morphologic Findings by Paolo Carpineto, Enrico Borrelli, Luca Cerino, Daniele Guarini, Agbeanda Aharrh-Gnama, Vincenzo Ciciarelli, Carla Iafigliola, Leonardo Mastropasqua

“…The inverted internal limiting membrane (ILM) flap technique has been shown to increase the success rate in large full-thickness macular holes (FTMHs) and in FTMHs associated with high myopia. …”
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Sweet spot for resting-state functional MRI effect of deep brain stimulation in dystonia lies in the lower pallidal area by Pavel Filip, Andrej Lasica, Dimitra Kiakou, Karsten Mueller, Jiří Keller, Dušan Urgošík, Daniel Novák, Robert Jech

“…Methods: The presented patient-blinded, random-order study with cross-sectional verification against healthy controls enrolled 17 GPi DBS idiopathic, cervical or generalised dystonia patients to compare the effect of the stimulation in the upper and lower GPi area, with the focus on sensorimotor network connectivity and local activity measured using functional magnetic resonance. Results: Stimulation brought both these parameters to levels closer to the state detected in healthy controls. …”
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HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA by Zohreh Sedaghat, Benoît Courbon, Héloïse Botrel, Hélène Dugua, Pawel Tulinski, Laethitia Alibaud, Lucia Pagani, Derry Mercer, Cyril Guyard, Christophe Védrine, Sophie Dixneuf

“…Secondly, we showed how our CRNN model combined with a Siamese Neural Network architecture can be used for the novelty assessment of the MoA of candidate antibiotics. We successfully evaluated our novelty detector on a test set containing three unseen molecules — two belonging to the conventional functional classes and one molecule from an additional class (Folate synthesis inhibitors, herein represented by trimethoprim-sulfamethoxazole). …”
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Synthesis, Evaluation, and Electrochemical Detection Application of Magnetic Molecularly Imprinted Polymers for 4,4′-Methylenedianiline from Food-Contact Materials by Lijing Lu, Haoyue Ning, Jipeng Guo, Chuang Guo, Liao Pan, Lixin Lu

“…Magnetic molecularly imprinted polymers (MIPs) capable of selectively recognizing and absorbing 4,4′-methylenedianiline (MDA) were successfully synthesized, using Fe3O4 coated with mesoporous silicon (Fe3O4@mSiO2) as the magnetic carrier, 4-vinyl pyridine (4-VP) as the functional monomer, ethylene glycol dimethacrylate (EGDMA) as the cross-linking agent, and MDA as the template molecule. …”
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A New Quinone Based Fluorescent Probe for High Sensitive and Selective Detection of Biothiols and Its Application in Living Cell Imaging by Yanju Liu, Manman Li, Keith Man-Chung Wong, Yan Tong, Huaixia Yang, Jinming Kong

“…In addition, the probe has been successfully applied to the detection of biothiols in Eca9706 cells by fluorescence confocal imaging technology.…”
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Sensitive and selective detection of Staphylococcus aureus via a dual-recognition colorimetric platform based on phenylboronic acid and IgY by Yun Zhang, Chunhui Huo, Xiaohong Yang, Yanjie Cui, Yiqing Hou, Qinghe Guo, Qiongzi Wang, Mingyong Wang, Yi Zhang

“…The optimized method can be performed within 120 min, with a detection limit of 9.4 × 102 CFU/mL. The proposed strategy was successfully applied to detection of S. aureus in spring water and apple juice samples. …”
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Fluorescent nanoprobe prepared from hyaluronic acid modified iron selenide nanoparticles for real-time detection of hyaluronidase as tumor marker by Chaoqun Zhang, Jie Song, Xin Shen, Qian Li, Feng Su, Suming Li

“…Analyses by FTIR, XRD, XPS, EDX, TEM, DLS, 1H NMR and TGA confirmed the successful synthesis of the nanoprobe, and fluorescence spectroscopy proved its good detection performance. …”
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Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach by Ines Belhaj Messaoud, Ornwipa Thamsuwan

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Class-consistent technology-based outlier detection for incomplete real-valued data based on rough set theory and granular computing by Li Zhaowen, He Hongxuan, Wang Pei

“…The goal of outlier detection is to pinpoint data points that exhibit notable deviations from the rest of the observed values. …”
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