DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

“…Despite its simplicity, DART-Vetter achieves highly competitive triaging performance, with a recall rate of 91% on an ensemble of TESS and Kepler data, when compared to Exominer and Astronet-Triage . …”
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Trends and future predictions of chronic kidney disease due to diabetes mellitus type 2 attributable to dietary risks: insights based on GBD 2021 data by Ming Xu, Ming Xu, Hongxia Wei, Hongxia Wei, Dongqing Lv, Dongqing Lv, Yanhong Wei, Yanhong Wei, Ziang Liu, Ziang Liu, Yi Zhang, Yi Zhang, Yunfeng Liu, Yunfeng Liu, Yunfeng Liu

“…This study examines the influence of dietary risk factors across various populations and socioeconomic groups.MethodsUtilizing the 2021 GBD data, we analyzed age-standardized CKD-T2DM metrics—including mortality, disability-adjusted life years (DALY), and age-standardized rates (ASR)—stratified by age, gender, and region. …”
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Identification of Defects in Low-Speed and Heavy-Load Mechanical Systems Using Multi-Fusion Analytic Mode Decomposition Method by Yanlei Liu, Kun Zhang, Miaorui Yang, Xu Zhang, Yonggang Xu

“…Quaternion-based frequency domain fusion technology and analytically based modal extraction technology can offer novel approaches to processing large data sets in parallel while handling lengthy signals and high sampling rates. …”
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Application of the DEB-TKTD model with multi-omics data: Prediction of life history traits of Chinese mitten crab (Eriocheir sinensis) under different salinities by Hanzun Zhang, Shipeng Dong, Hongwei Shan, Chao Yang, Fang Wang

“…The DEB-TKTD model, informed by omics data, accurately predicts the life history traits of crabs under saline stress. …”
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The Early Detection of Cardiac Fatigue: Could the HRV Be Used as a Physiological Biomarker by AI? by Giovanna Zimatore, Maria Chiara Gallotta, Marco Alessandria, Matteo Campanella, Marta Ricci, Leonarda Galiuto

“…Only research articles and review papers were considered suitable candidates. <b>Results:</b> Data from 10 papers were considered, related to the information researched. …”
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The impact of sensory integration based sports training on motor and social skill development in children with autism spectrum disorder by Lingtao Wen, Zhixia Wu

“…Weekly behavioral engagement was also recorded. Data were analyzed using paired t-tests and Cohen’s d for effect size. …”
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HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images by Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang

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Temperature During Convective Drying of Thin Flat Wet Materials by A. I. Ol’shanskii, A. A. Kotow, S. M. Kuzmenkov

“…A method for calculating the average integral temperature of wet material on the basis of the relative temperature coefficient of drying is presented. Experimental data are processed based on the relative drying rate in the drying processes of ceramics, asbestos, and woolen fabric. …”
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Framework for effective PV system instrumentation focused on fault diagnosis by Edgar Hernando Sepúlveda-Oviedo, Bruno Estibals

“…The framework is structured around four key components: (i) system design considerations, which include PV topology, scale, and sensor placement strategies to maximize detection sensitivity; (ii) data acquisition, detailing sensor selection, sampling rate optimization, and communication protocols adaptable to different configurations; (iii) data management and preprocessing, encompassing storage strategies, data quality control, and normalization pipelines; and (iv) a review of existing monitoring platforms, identifying their limitations for fault-specific diagnostics. …”
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Effect of surface plastic deformation of drill pipes material on their technological properties by Nikolay A. Buglov, Pavel S. Pushmin

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ASCERTAINMENT OF THE EQUIVALENT CIRCUIT PARAMETERS OF THE ASYNCHRONOUS MACHINE by V. S. Safaryan, S. G. Gevorgyan

“…The article considers experimental and analytical determination of the asynchronous machine equivalent-circuit parameters with application of the reference data. Transient processes investigation of the asynchronous machines necessitates the equivalent circuit parameters (resistance impedance, inductances and coefficient of the stator-rotor contours mutual inductance) that help form the transitory-process mathematical simulation model. …”
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Lung Tumor Segmentation in Medical Imaging Using U-NET by J Jayapradha, Su-Cheng Haw, Naveen Palanichamy, Senthil Kumar Thillaigovindhan, Mutaz Al-Tarawneh

“…Early detection and treatment of tumors can significantly reduce mortality rates. This paper presents a model for tumor segmentation in medical imaging that uses the U-NET architecture to increase precision. …”
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Tracking coarse sediment in an Alpine subglacial channel using radio-tagged particles by Matt Jenkin, Margaux Hofmann, Bryn Hubbard, Davide Mancini, Floreana M. Miesen, Frédéric Herman, Stuart N. Lane

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The Effects of Social Variables of Age, Education and Gender on Metathesis Based on Variationist Sociolinguistics: A Case Study ‘Chokla’ in Hawrami Kurdish by Nadia Safiee, Ebrahim Badakhshan, Masoud Dehghan

“…The level of education, however, does not show a significant relationship with the occurrence of the metathesis process in the word [tʃoklæ], as the rate of significance of the relationship is greater than 0.5 (α=0.683). …”
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Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

“…In web browser usage, the data shown is also affected by lighting. The accuracy level of the built model reached above 99.8 percent with a validation accuracy rate of 99.7 percent in the data training process. …”
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STRATIFICATION OF NEPHROCEREBRAL AND CARDIOVASCULAR RISK IN CHRONIC GLOMERULONEPHRITIS (LITERATURE REVIEW) by I. T. Murkamilov, I. S. Sabirov, Zh. A. Murkamilova, V. V. Fomin, A. I. Sabirova, K. A. Aitbaev, B. Zh. Imanov, N. A. Redzhapova, F. A. Yusupov

“…Literature data on the value of the heart rate are also presented. …”
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A computational study of freezing dynamics in dual-cooled porous containers with hybrid enhancements by S. Thiru, Ali Basem, Hussein A.Z. AL-bonsrulah, Nidal H. Abu-Hamdeh, Waleed Mohammed Abdelfattah, A.M. Sadoun

“…Additionally, the working fluid was mixed with hybrid nanoparticles, while porous foam was incorporated to further accelerate the freezing process. The accuracy of the simulation was validated against previous studies, demonstrating a high level of agreement with existing experimental and numerical data. …”
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Assessment of the psychophysiological and functional state of basketball students in the pre-competition period by S. M. Ryabtsev, T. A. Zhmurova

“…The use of the spirometric method determined the discrepancy between the results obtained and the proper values characteristic of the weight and height parameters of the subjects, which indicates violations of the ventilatory function of the lungs and reduced respiratory musculature capabilities of basketball students.Conclusion: the analysis of the obtained data on the psychophysiological and functional state of the body of basketball students in the pre-competition period determines the need to build a training process with the inclusion of psychological and pedagogical training aimed at expanding the physiological reserves of functional systems, improving the psychomotor properties of the body that determine the success of competitive activity and increasing the share of training effects aimed at improving the quality of strength endurance.…”
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Application of strategic stockpile for ore quality stabilization at Erdenet open pit mine by Batsukh Elbegzaya, Sodnom Tsedendorj, Battogtokh Batbold, Borya Orkhontuul

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A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy by Nawal El Ghouate, Mohamed Amine Tahiri, Ahmed Bencherqui, Hanaa Mansouri, Ahmed El Maloufy, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed Abouhawwash

“…Abstract With the rapid growth in the exchange of digital data, the problem of protecting images has become essential, particularly in sectors such as medicine, surveillance and secure communications. …”
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