Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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Wearable MXene-enhanced organic Bio-FET paper patch for glucose detection in sweat with pH and temperature calibration by Milad Farahmandpour, Zoheir Kordrostami

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Relationship between early neurological function and motor skills in Brazilian preterm infants: a cross-sectional study by Wendy Gabrielle Franca de Sousa, Ana Luiza Righetto Greco, Maja de Medeiros, Alicia Jane Spittle, Cibelle Kayenne Roberto Formiga

“…Thus, monitoring their development is needed for early detection and targeted intervention. This study aimed to assess the correlation between neurological function and motor skills in preterm infants from 2 to 6 months of corrected age after hospital discharge in an outpatient follow-up program. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…Sudden and gradual faults were quickly detected through a dual-channel pre-check, and then, the fault source was identified through AIME. …”
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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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Turning Waste into Treasure: Functionalized Biomass‐Derived Carbon Dots for Superselective Visualization and Eradication of Gram‐Positive Bacteria by Ke‐Fei Xu, Zihao Wang, Macheng Cui, Yuhan Jiang, Chengcheng Li, Zi‐Xi Wang, Ling‐Yi Li, Chenyang Jia, Lijie Zhang, Fu‐Gen Wu

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Location and function of TDP-43 in platelets, alterations in neurodegenerative diseases and arising considerations for current plasma biobank protocols by Ruth Luthi-Carter, Sara Cappelli, Morgan Le Roux-Bourdieu, Noemie Tentillier, James P. Quinn, Tiziana Petrozziello, Lathika Gopalakrishnan, Purva Sethi, Himanshi Choudhary, Giorgia Bartolini, Elias Gebara, Cristiana Stuani, Laure Font, Jiyan An, Vanessa Ortega, Jessica Sage, Edina Kosa, Bianca A. Trombetta, Roberto Simeone, Tamara Seredenina, Tariq Afroz, James D. Berry, Steven E. Arnold, Becky C. Carlyle, Oskar Adolfsson, Ghazaleh Sadri-Vakili, Emanuele Buratti, Robert Bowser, Abdulbaki Agbas

“…Here, we explore its tractability as a plasma biomarker of disease and describe its localization and possible functions in the cytosol of platelets. Novel TDP-43 immunoassays were developed on three different technical platforms and qualified for specificity, signal-to-noise ratio, detection range, variation, spike recovery and dilution linearity in human plasma samples. …”
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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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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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Omics Multi-Layers Networks Provide Novel Mechanistic and Functional Insights Into Fat Storage and Lipid Metabolism in Poultry by Farzad Ghafouri, Abolfazl Bahrami, Abolfazl Bahrami, Mostafa Sadeghi, Seyed Reza Miraei-Ashtiani, Maryam Bakherad, Herman W. Barkema, Samantha Larose

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Unveiling the Spatial Variation in Ecosystem Services Interactions and Their Drivers Within the National Key Ecological Function Zones, China by Tingjing Zhang, Quanqin Shao, Haibo Huang

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Bio-nanoparticles sensor couple with smartphone digital image colorimetry and dispersive liquid–liquid microextraction for aflatoxin B1 detection by Mahsa Alikord, Nabi Shariatifar, Mammad Saraji, Hedayat Hosseini, Gholamreza Jahed Khaniki, Shahram Shoeibi, Toba Rezazadeh, Mohammad Fazeli

“…Abstract A novel nanobiosensor-based colorimetric method was developed by integrating ZnO nanoparticles functionalized with curcumin, dispersive liquid–liquid microextraction (DLLME), and smartphone digital image colorimetry for the sensitive detection of aflatoxin B1 (AFB1) in baby food samples. …”
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A Comprehensive Review of Detection Methods for <i>Staphylococcus aureus</i> and Its Enterotoxins in Food: From Traditional to Emerging Technologies by Assia Mairi, Nasir Adam Ibrahim, Takfarinas Idres, Abdelaziz Touati

“…Molecular methods, such as PCR and isothermal amplification, provide high specificity and speed for bacterial and toxin gene detection but cannot confirm functional toxin production. …”
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Assessment of the level of security (safety of functioning) of automated systems based on their vulnerabilities, formalized using the theory of queuing systems by A. O. Efimov, E. A. Rogozin

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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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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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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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Identification and Functional Testing of ERCC2 Mutations in a Multi-national Cohort of Patients with Familial Breast- and Ovarian Cancer. by Andreas Rump, Anna Benet-Pages, Steffen Schubert, Jan Dominik Kuhlmann, Ramūnas Janavičius, Eva Macháčková, Lenka Foretová, Zdenek Kleibl, Filip Lhota, Petra Zemankova, Elitza Betcheva-Krajcir, Luisa Mackenroth, Karl Hackmann, Janin Lehmann, Anke Nissen, Nataliya DiDonato, Romy Opitz, Holger Thiele, Karin Kast, Pauline Wimberger, Elke Holinski-Feder, Steffen Emmert, Evelin Schröck, Barbara Klink

“…Ten out of eleven mutations that were tested exemplarily in cell-based functional assays exert diminished excision repair efficiency and/or decreased transcriptional activation capability. …”
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ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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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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