LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. by Pingping Yan, Xiangming Qi, Liang Jiang

“…In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

“…A <i>β</i>-S-dimensional assignment (<i>β</i>-SDA) method incorporating waveguide characteristics is proposed to address the BOMTL problem in shallow water with low detection rates. The estimated distance for the warping transformation is derived from the intersection points of the bearing lines, then the autocorrelation function of the broadband beamforming output is transformed using a warping operator to obtain the corresponding characteristic spectrum. …”
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Simple surface modification of poly(methyl methacrylate) microfluidic microplates for enhanced ultrasensitive multiplexed detection of infectious diseases by Sharma T. Sanjay, Sapna Kannan, XiuJun Li

“…Herein, we report a simple method of functionalization of poly(methyl methacrylate) (PMMA) with polylysine to be used as the microfluidic microplate substrate for enhanced ELISA, enabling rapid, ultrasensitive, and multiplexed detection of infectious diseases. …”
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Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests by Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella, Giuseppe Portella, Nunzio Cennamo

“…Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.…”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data by Michael J. Pennino, Jen Stamp, Erik W. Leppo, David A. Gibbs, Britta G. Bierwagen

“…ContDataQC helps users speed up and standardize the QC process, minimize undetected data errors, and make full use of their sensor data. It has three main functions: generate QC reports to detect anomalies and erroneous data values, merge QC'd data files from different time periods, and generate time series plots and basic summary statistics. …”
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Cholinergic Mechanisms of Target Oddball Stimuli Detection: The Late “P300-Like” Event-Related Potential in Rats by A. Ahnaou, R. Biermans, W. H. I. M. Drinkenburg

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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry&#x2019;s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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Bacterial community composition and function in different habitats in Antarctic Fildes region revealed by high-throughput sequencing by Yi-He Zhang, Yi-He Zhang, Yong-Qiang Hu, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Ting Hu, Wei Han, Yu Du, Zhong Hu, Shan-Shan Meng

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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

“…BackgroundThe Bronchial Provocation Test (BPT) is the gold standard for diagnosing airway hyperresponsiveness (AHR) in suspected asthma patients but is time-consuming and resource-intensive. This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
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Investigation of <i>Atraphaxis virgata</i>, an Unexplored Medicinal Plant Rich in Flavonoids, as a Functional Material by Soeun Shin, Seunghee Kim, Jeongho Lee, Hyerim Son, Jin-Hyub Paik, Nadezhda Gennadievna Gemejiyeva, Zhanat Zhumabekovna Karzhaubekova, Taek Lee, Hah Young Yoo

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Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

“…Potential field data play a critical role in interpreting various geologic structural features through edge detection filters that aid in mapping subsurface structural features. …”
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Ensuring Effective Functioning of Gas-Discharge Counters, Used in the Military Dose Rate Meters, in the Arctic Zone by A. V. Vasiliev, Yu. A. Glukhov, I. Y. Kulagin, K. S. Abaeva

“…At the same time, the region's rich natural resources create conditions for military conflicts and armed struggle of states for possession of these resources. …”
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Loss of OprD function is sufficient for carbapenem-resistance-only but insufficient for multidrug resistance in Pseudomonas aeruginosa by Maofeng Wang, Yuxiao Zhang, Fengyan Pei, Ying Liu, Yan Zheng

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Cardiosphere-derived cells improve function in the infarcted rat heart for at least 16 weeks--an MRI study. by Carolyn A Carr, Daniel J Stuckey, Jun Jie Tan, Suat Cheng Tan, Renata S M Gomes, Patrizia Camelliti, Elisa Messina, Alessandro Giacomello, Georgina M Ellison, Kieran Clarke

“…<h4>Aims</h4>Endogenous cardiac progenitor cells, expanded from explants via cardiosphere formation, present a promising cell source to prevent heart failure following myocardial infarction. …”
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Digitoflavone Ameliorates Acute Lung Injury via Disturbing the Formation of Functional Stimulator of Interferon Genes Signalosome by Jun-Jie Li, Qing Yao, Ming Dong, Yan Wang, Ye Xiu, Zhi-Xin Wu, Xiao-Mei Zhao, Yin-Kang Wang, Xian-Ling Wang, Yu-Xuan Tian, Xiao-He Xiao, Zhao-Fang Bai

“…Materials and Methods: The activation of the cGAS-STING pathway was modeled in bone marrow-derived macrophages (BMDMs) and human leukemia monocytic cell line (THP-1) cells in vivo, and the expression of type I IFN-related genes and pro-inflammatory cytokines was detected after DG pretreatment. Next, we examined the effect of DG on STING downstream signaling events, such as STING oligomerization and functional STING signalosome formation. …”
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Correlation between D-dimer and size of middle cerebral artery infarction and its relation to functional outcome by Ramy Taha Alloush, Mohamed Hamdy Ibrahim, Shahinaz Mohamed Helmy, Aya Ebrahim Marwan, Mona Ali Eissa, Adel T. Alloush, Mohamed Khaled Elewa

“…Furthermore, data from neuroimaging, clinical, laboratory, and demographic sources were examined. Additionally, the modified Rankin Scale (mRS) score was used to evaluate the predictive usefulness of plasma D-dimer on a patient's functional outcome after three months. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

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Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

“…The DMN-WO model is ensured to be resource-efficient and suitable for real-time deployment on constrained devices like Raspberry Pi, typical in IoT systems. …”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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