A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…This study proposes a multi-feature and rule-based object-oriented image classification (MROIC) model, integrating spatial-spectral enhancement techniques with object-based image analysis classification methods. …”
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Clinical Features and Value of Tracheal Aspirate Metagenomic Next-Generation Sequencing for Severe Pneumonia in Children in Pediatric Intensive Care Unit by YU XINYAN, LIANG JIUCHAO, YANG RUI, GAI WEI, ZHENG YAFENG

“…Linear discriminant analysis (LDA) effect size (LEfSe) analysis identified that RSV and Streptococcus mitis were the specific species associated with infants. …”
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A seven-year retrospective study of a single center in Xinjiang：clinical features of pregnancy-related acute kidney injury by Li Su-hua, Huang Xuan, Li Meng-xuan, Chu Xue-qian, Ayi-Tudi Mire, Li Xin-sai, Jiang Xu-yan

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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…Machine Learning (ML), a prominent subfield of Artificial Intelligence (AI), holds significant promise in the medical domain, particularly for early disease detection, enabling effective preventive measures and treatments. …”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…Correctly attributing safety signals to learning or device effects allows for appropriate corrective actions and recommendations to improve patient safety.Objective: To develop and assess the statistical performance of an analytic framework to detect the presence of LE and quantify the learning curve (LC).Design and Setting: We generated synthetic datasets based on observed clinical distributions and complex feature correlations among patients hospitalized at US Department of Veterans Affairs facilities. …”
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Immunophenotypic features of bone marrow tumor cell in Burkitt lymphoma/leukemia: B-lineage acute lymphoblastic leukemia diagnostics opportunities by I. A. Demina, T. Yu. Verzhbitskaya, S. A. Kashpor, S. A. Plyasunova, M. E. Dubrovina, L. G. Fechina, N. V. Myakova, E. V. Samochatova, A. A. Maschan, A. M. Popov

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Association between coronary monosodium urate deposits at DECT and high-risk coronary plaque phenotypes and other features in gout patients by Pietro G. Lacaita, Andrea S. Klauser, Julia Held, David Haschka, Gerlig Widmann, Gudrun M. Feuchtner

“…Coronary MSU-positive lesions detected on unenhanced DECT may be associated with HRP features on coronary computed tomography angiography. …”
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Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease by Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

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Detecting significant expression patterns in single-cell and spatial transcriptomics with a flexible computational approach by Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, Zohar Yakhini

“…Existing data analysis methods are effective in finding the main data features, but they might miss less pronounced, albeit significant, processes, possibly involving a subset of the samples. …”
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Detecting Sensitive Spectral Bands and Vegetation Indices for Potato Yield Using Handheld Spectroradiometer Data by Diego Gomez, Pablo Salvador, Juan Fernando Rodrigo, Jorge Gil

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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Deep learning (DL) has emerged as a transformative tool in neuroimaging analysis, offering the ability to automatically extract intricate features from large datasets. …”
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Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus by Sameed Khan, Chad L. Klochko, Sydney Cooper, Brendan Franz, Lauren Wolf, Adam Alessio, Steven B. Soliman

“…Conclusion: US radiomics and machine learning yielded promising results for the detection of T2D using skeletal muscle. Given the increasing use of shoulder US and the increasingly high number of undiagnosed patients with T2D, skeletal muscle US and radiomics analysis has the potential to serve as a supplemental noninvasive screening tool for the opportunistic earlier detection of T2D and PreD.…”
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Sweat-Sensing Patches with Integrated Hydrogel Interface for Resting Sweat Collection and Multi-Information Detection by Lei Lu, Qiang Sun, Zihao Lin, Wenjie Xu, Xiangnan Li, Tian Wang, Yiming Lu, Huaping Wu, Lin Cheng, Aiping Liu

“…Additionally, a colorimetric module utilizing glucose oxidase and peroxidase is also integrated into the platform for cost-effective and efficient glucose detection through a color change that can be quantified via RGB analysis. …”
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Enhance Social Network Bullying Detection Using Multi-Teacher Knowledge Distillation With XGBoost Classifier by Sathit Prasomphan

“…While many studies have explored deep learning approaches for sentiment analysis or toxicity detection, the detection of cyberbullying—especially in the Thai language—remains underexplored. …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…Abstract This study proposes a concrete piezoelectric sensing detection method based on mathematical morphology and fractal theory, which effectively monitors and quantitatively assesses the dynamic evolution process of damage cracks in concrete structures under impact loads. …”
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Detection of intracranial hypertension in children using optical coherence tomography: a systematic review protocol by Sohaib R Rufai, Noor ul Owase Jeelani, Rebecca J McLean

“…Here, we propose a systematic review protocol to examine the role of OCT in the detection of ICH in children.Methods and analysis Electronic searches in the Cochrane Central Register of Controlled Trials, Medline, Embase, Web of Science and PubMed will identify studies featuring OCT in detecting ICH in children. …”
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Highly sensitive cancer detection using an open D-channel PCF-based SPR biosensor by Mahla Ashrafian, Saeed Olyaee, Mahmood Seifouri

“…Abstract Surface plasmon resonance (SPR) is a technique utilized for the label-free detection of cancer cells. In this analysis, we introduce a photonic crystal fiber (PCF) designed with an open D-channel, featuring a layer of gold (Au) and titanium dioxide (TiO2) as the plasmonic material. …”
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Spectral monitoring technology for gas concentrations of multiple target components in oil and gas leakage detection by Zhirong ZHANG, Pengchao CHEN, Yongjun CAI, Wenyou DU, Zhonglin LI, Yuntao PENG, Pengshuai SUN, Bian WU

“…Furthermore, a multi-component gas concentration measuring sensor was developed, suitable for detecting oil and gas leaks in various scenarios. ResultsThe developed sensor system was implemented in the long-distance, safe, and stable real-time monitoring and analysis of multi-component gases and integrated temperature data. …”
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Flexible Polymer-Based Electrodes for Detecting Depression-Related Theta Oscillations in the Medial Prefrontal Cortex by Rui Sun, Shunuo Shang, Qunchen Yuan, Ping Wang, Liujing Zhuang

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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Furthermore, we employed SHapley Additive exPlanations (SHAP) to enhance model interpretability, offering deeper insights into the contribution of individual features to classification decisions. A comparative analysis with existing methods highlights the novelty and advantages of our approach, particularly in terms of accuracy, interpretability, and computational efficiency. …”
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