Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

“…These algorithms are powerful tools for the visual diagnostic analysis of materials and are of great importance in analyzing the quality of production processes and predicting their mechanical properties. …”
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Evaluation of the structural changes of the hand joints and the rates of rheumatoid arthritis progression according to ultrasound data by Rita Aleksandrovna Osipyants, D E Karateev, E Yu Panasyuk, G V Lukina, A V Smirnov, S I Glukhova, E N Aleksandrova, A V Volkov, E L Nasonov

“…The USG versus X-ray detection rate of erosions was significantly higher in both ERA and LRA (p < 0.05). …”
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In vitro study of vitamins B1, B2 and B6 adsorption on zeolite by Basić Zorica, Kilibarda Vesna, Dobrić Silva, Resanović Radmila

“…Analyte separation and detection were carried out by applying the reverse-phase method on column C18. …”
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Heptad green metrics and quality by design tool evaluated chromatography method for content determination of Bexagliflozin in formulation product by Satyajit Raj Nethekar, Phani Raja Kanuparthy, Leela Prasad Kowtharapu, Vishnuvardhana Kishore Polisetti, Pankaj Kumar Lahoti, Sreekantha B Jonnalagadda, Naresh Kumar Katari

“…The flow rate is 0.2 mL/min, the injection volume is 1 µL, and the UV detection wavelength is 220 nm. The total run time is 2.5 minutes. …”
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Anesthetic spindles serve as EEG markers of the depth variations in anesthesia induced by multifarious general anesthetics in mouse experiments by Ying You, Ying You, Hui Liu, Zhanfei Yang, Yuxuan Chen, Fei Yang, Tian Yu, Tian Yu, Yu Zhang, Yu Zhang

“…Post-anesthesia, spindles persisted but ceased more quickly following inhalational anesthesia.ConclusionAnesthesia spindle waves reflect distinct changes in anesthesia depth and persist following emergence, serving as objective EEG markers for assessing both anesthesia depth and the recovery process.…”
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Sistem Deteksi Jumlah, Jenis dan Kecepatan Kendaraan Menggunakan Analisa Blob Berbasis Raspberry Pi by Gembong Edhi Setyawan, Benny Adiwijaya, Hurriyatul Fitriyah

“…Each blob is a connected-component as a result of thresholding after background subtration process. Type of vehicles was determined by measuring pixel number of blob’s bounding box. …”
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Development of a rapid LFA test based on direct RT-LAMP for diagnosis of SARS-CoV-2 by Negar Sadeghi, Neda Shirazi, Moein Dehbashi, Bahareh Maleki, William C. Cho, Zohreh Hojati

“…Due to the high sequence diversity of ORF8 in SARS-CoV and SARS-CoV-2, it has been identified as a suitable target for virus detection. The RT-LAMP method was also carried out directly on heat-treated swab samples. …”
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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…Unlike conventional deep learning-based approaches, the proposed method requires minimal data, offers high interpretability, and enhances the feature extraction process by capturing nonlinear dynamics and hidden patterns in the time-series data, which are often not accessible through traditional statistical or spectral techniques. …”
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Fixed-time artificial insemination technology in buffaloes: a review by Hubdar Ali Kolachi, Hubdar Ali Kolachi, Hubdar Ali Kolachi, Xiaomeng Zhang, Muhammad Mohsen Rahimoon, Muhammad Shahzad, Ayantoye Jesse Oluwaseun, Muhammad Ibrahim Panhwar, Mohammad Farooque Hassan, Omaima Mohammad Tawfik Kandil, Pengcheng Wan, Xueming Zhao, Xueming Zhao

“…Nonetheless, buffaloes exhibit unique reproductive behavior, which complicates the insemination process. These animals demonstrate inconsistent periods (ranging from 6–48 h) of mounting acceptance. …”
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Additive Manufacturing for Automotive Radar Sensors Using Copper Inks and Pastes by Nihesh Mohan, Fabian Steinberger, Sonja Wächter, Hüseyin Erdogan, Gordon Elger

“…Radar sensors are critical for obstacle detection and navigation, especially for automated driving. …”
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A novel sodium Iron silicate composite with chitosan for efficient removal of Cd(II) ions from water by Mohamed S. Kamel, Ehab A. Abdelrahman, Zinab M. Anwar, Samir M. El Rayes, Mortaga M. Abou-Krisha, Raed M. Hegazey, Hanan Alhussain

“…Regeneration using HCl confirmed the effective reusability of both adsorbents over five successive cycles. The adsorption process was found to be chemical, exothermic, and best described by the pseudo-second-order kinetic model and Langmuir isotherm.…”
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Spatio-Temporal Fusion of Landsat and MODIS Data for Monitoring of High-Intensity Fire Traces in Karst Landscapes: A Case Study in China by Xiaodong Zhang, Jingyi Zhao, Guanzhou Chen, Tong Wang, Qing Wang, Kui Wang, Tingxuan Miao

“…Moreover, in our karst landscape study area, our proposed Hybrid Strategy selection framework can dynamically optimize the fusion process of multi-source satellite data, which is significantly better than a single fusion strategy. (3) The dNBR-based extraction achieved 90.00% producer accuracy, 69.23% user accuracy, and a Kappa coefficient of 0.718 when validated against field data. …”
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Fuzzy Delphi and DEMATEL Approaches in Sustainable Wearable Technologies: Prioritizing User-Centric Design Indicators by Chin-Wen Liao, Kai-Chao Yao, Ching-Hsin Wang, Hsi-Huang Hsieh, I-Chi Wang, Wei-Sho Ho, Wei-Lun Huang, Shu-Hua Huang

“…Wearable innovations for health management have introduced novel approaches to physiological monitoring and early disease detection, contributing to an improved quality of life. …”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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New insights on physicochemical features and toxicological outcome provided from incineration of nanocomposites by Claire Longuet, Carine Chivas-Joly, Nora Lambeng, Valérie Forest, Lara Leclerc, Gwendoline Sarry, Jérémie Pourchez, José-Marie Lopez-Cuesta

“…Therefore, work to improve the detection, characterization, and quantification of nanomaterials should be continued to complete the database with different types of nanowaste mixtures. …”
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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis by Thi Bang-Suong Nguyen, Hoang-Bac Nguyen, Thi Xuan-Thao Le, Thi Hong-Chau Bui, Le Song-Toan Nguyen, Thao-Huong Nguyen, Truong Cong-Minh Nguyen

“…Traditional diagnosis involves manually observing vaginal discharge samples under a microscope. This process relies heavily on the technician’s expertise and is vulnerable to subjective biases. …”
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Generative priors-constraint accelerated iterative reconstruction for extremely sparse photoacoustic tomography boosted by mean-reverting diffusion model: Towards 8 projections by Teng Lian, Yichen Lv, Kangjun Guo, Zilong Li, Jiahong Li, Guijun Wang, Jiabin Lin, Yiyang Cao, Qiegen Liu, Xianlin Song

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Structural variations in oil crops: Types, and roles on domestication and breeding by Xiaobo Cui, Miao Yao, Meili Xie, Ming Hu, Shengyi Liu, Lijiang Liu, Chaobo Tong

“…This review will provide an overview of the SV research process in oil crops, enabling researchers to quickly understand key information and apply this knowledge in future studies and crop breeding.…”
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Formation characteristics of particulate matter in pulverized coal combustion with ammonia by Xing LIANG, Sijian QU, Yi DI, Mingshuang CUI, Shengye WANG, Fang NIU

“…However, the addition of ammonia alters the combustion process of pulverized coal, leading to changes in the generation characteristics of coal-fired particulate matter. …”
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Enhanced high-throughput embryonic photomotor response assays in zebrafish using a multi-camera array microscope by Julia Jamison, Thomas Jedidiah Jenks Doman, Zoe Antenucci, John Efromson, Connor Johnson, Michael T. Simonich, Mark Harfouche, Lisa Truong, Robyn L. Tanguay

“…Notably, the Kestrel enabled equivalent detection of behavioral responses in chorionated and dechorionated embryos, eliminating the need for the dechorionation process while maintaining assay sensitivity. …”
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