Relationships between vegetation indices and surface reflectance: Implications for detecting and monitoring sandification in arid regions by Yifan Yue, Wenzhi Zhao, Rentao Liu

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Pathogenic Bacterial Detection Using Vertical-Capacitance Sensor Array Immobilized with the Antimicrobial Peptide Melittin by Sun-Mi Lee, Jun-Ho Song, Kyo-Seok Lee, Kyung-Hwa Yoo

“…Furthermore, these sensors successfully detected clinically isolated bacteria in blood culture media while inhibiting bacterial biofilm formation. …”
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Detecting non-neutral modules in species co-occurrence data: principles and application to plant communities by Fabien Laroche, Bodil Ehlers

“…We tested our framework on virtual data and successfully retrieved pre-defined functional groups without generating false positive detections. …”
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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain by Ruchika Sharma, Sameena Naaz, Pankaj Vaidya

“…Agriculture is essential for living in the Indian Himalayan region (IHR), as it functions as the main occupation and source of income. …”
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Nanotechnology-based paper microfluidics for rapid point-of-care detection and differentiation of snake venom types by Lakshmi Narashimhan Ramana, Nitin Salvi, M.V. Khadilkar, Tarun Kumar Sharma

“…To address this, the current study focuses on detecting functional enzyme components of venomous snake species, such as phospholipase A2, hyaluronidase, and proteases. …”
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Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

“…Machine Learning (ML)-based Intrusion Detection Systems (IDS) are integral to securing modern IoT networks but often suffer from a lack of transparency, functioning as “black boxes” with opaque decision-making processes. …”
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG by Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens

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Multimodal imaging analysis and structure-function correlation in patients exposed to pentosan polysulfate sodium by Sandra Hoyek, Eleni Konstantinou, Francesco Romano, Darren Chen, Celine Chaaya, Magdalena G. Krzystolik, Daniel Hu, Rachel Huckfeldt, Demetrios G. Vavvas, Leo A. Kim, Jason Lee, Elise De, John B. Miller, Nimesh A. Patel

“…Purpose: To study the anatomic and functional retinal changes in patients exposed to pentosan polysulfate (PPS) using multimodal imaging and mesopic microperimetry. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction by P. Kumudha, R. Venkatesan

“…Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. …”
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Trends in the development of the ISO 9001 quality management system – a parameter of the logistic function by Grzegorz Kazimierz Rządkowski, Katarzyna Szczepańska

“…Results Studies and calculations have fully confirmed that the number of ISO 9001 certificates between 1993 and 2022 can be effectively modelled using an appropriate multilogistics function. Using scalograms and CWT analysis, the type and position of successive logistic waves can be identified and their parameters can be estimated. …”
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Primary study on the expression pattern and function of zinc metalloproteinase NAS-31 in Haemonchus contortus by HUANG Yan, ZHANG Hui, TONG Danni, ZHOU Jingru, WU Fei, CHEN Xueqiu, YANG Yi, MA Guangxu, DU Aifang

“…In order to study the function of zinc metalloproteinase NAS-31 gene (Hc-nas-31) in the free-living period (especially L3) of this kind of worm, real-time quantitative polymerase chain reaction (qRT-PCR) was conducted to detect the transcription level of the target gene in different developmental stages of H. contortus. …”
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Evaluation of clopidogrel responsiveness using the Platelet Function Analyzer-200 (PFA-200) in dogs by Joon-Ho Shin, Hyun-Jung Han, Hyun-Jung Han

“…Increasing the maintenance dose successfully overcame clopidogrel resistance in these seven dogs. …”
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Lateralization of memory function in temporal lobe epilepsy using scene memory fMRI by William S. Tackett, Dawn Mechanic‐Hamilton, Sandhitsu Das, Marissa Mojena, Joel M. Stein, Kathryn A. Davis, John A. Detre

“…Building upon prior work using complex scene encoding to map memory function, we demonstrate that the use of high‐resolution fMRI along with an optimized task paradigm allows memory activation to be detected within the hippocampus. …”
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STRUCTURAL AND FUNCTIONAL CHANGES EVALUATED BY ECHOCARDIOGRAPHY IN PATIENTS WITH SYSTEMIC SCLEROSIS AND HEART RATE VARIABILITY by E. O. Saad, L. P. Ananyeva, R. T. Alekperov, D. S. Novikova, Yu. O. Korsakova, A. V. Volkov

“…Objective: to estimate heart rate variability (HRV) in patients with systemic sclerosis (SS) and to investigate their relationship to echocardiographic structural and functional changes in the heart.Subjects and methods. …”
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Survey of gut microbial biogeography and their functional niche in the grow-finishing swine of ordinary feeding by Lili Cao, Lili Cao, Wei Guo, Shiyu Yang, Shiyu Yang, Anum Ali Ahmad, Yuntao Dong, Cen Gong, Shuoqi Wang, Xuemin Yang, Zhentao Cheng, Zhihong Yan, Zhihong Yan, Weiwei Wang

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FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices. by Junjie Lu, Yuchen Zheng, Liwei Guan, Bing Lin, Wenzao Shi, Junyan Zhang, Yunping Wu

“…The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”
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Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

“…In agriculture and forestry, pest detection is critical for increasing crop yields and reducing economic losses. …”
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Leaky ReLU-ResNet for Plant Leaf Disease Detection: A Deep Learning Approach by Smitha Padshetty, Ambika

“…Deep neural networks, particularly Convolutional Neural Networks (CNNs), have shown exceptional success in image classification tasks, often surpassing human-level performance. …”
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YOLOv8-CBSE: An Enhanced Computer Vision Model for Detecting the Maturity of Chili Pepper in the Natural Environment by Yane Ma, Shujuan Zhang

“…Additionally, SRFD and DRFD modules are introduced to replace the original convolutional layers, effectively capturing features at different scales and enhancing the diversity and adaptability of the model through the feature fusion mechanism. To further improve detection accuracy, the EIoU loss function is used instead of the CIoU loss function to provide more comprehensive loss information. …”
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