Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…An easy-to-use oversampling function was employed to address class imbalance, enhancing the usability of the workflow. …”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

“…A simulation model of a sector surveillance radar with a digital antenna array was created in the radar CAD visual functional editor. The passive channel included the following algorithms: algorithm for detecting stochastic signals; algorithm for estimating the number of stochastic signals; direction finding algorithm for stochastic signal sources; adaptive spatial filtering algorithm. …”
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Combining dopamine and glucose sensings on paper devices for the metabolic study of neurosecretion by Rémi F. Dutheil, Dabeaurard Tho, Iman Pitroipa, Raphaël Trouillon

“…Glucose, the main source of energy of the human body, and dopamine, a major neurotransmitter, are two analytes widely investigated in the study of the brain. …”
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Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Quantitative Analysis of L-Arginine in Freeze-Dried Red Dragon Fruits (<i>Hylocereus polyhizus</i>) by Wan Mazlina Md Saad, Mohd Qamarul Aizat Isha, Muhamad Faizzudin Mohamad Zan, Siti Mastura Hanim Sallehoddin

“…Thus, this study opens further avenues toward exploring red dragon fruit as a natural source of L-arginine and advancing functional and nutraceutical products.…”
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Comparative genomics reveals key adaptive mechanisms in pathogen host-niche specialization by Menglu Zhang, Longxi Han, Caizhi Liao, Weiheng Su, Weiheng Su, Chunlai Jiang, Chunlai Jiang

“…Bioinformatics databases and machine learning approaches were used to identify genomic differences in functional categories, virulence factors, and antibiotic resistance genes across different ecological niches.ResultsSignificant variability in bacterial adaptive strategies was observed. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
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Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

“…Due to environmental factors, cross media propagation, and interference from excitation sources, noise is coupled into the original signal during data acquisition, seriously affecting signal processing. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…This made it possible to find and measure the sources of uncertainty as well as the factors that affected the chromatographic responses. …”
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Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing by Balabanov Alexandar, Andreeva Hristina, Danev Angel, Bosakova-Ardenska Atanaska, Ivanov Galin, Balabanova Tatyana

“…The current study presents two open-source software products – ImageJ and Scilab and their functionalities that are applied for image analysis of three samples of Kashkaval cheese, which are produced using different sodium chloride content. …”
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Examination and Tracing of Stable Isotopes of Carbon and Hydrogen in Diesel Oil from Different Regions by Han-yu ZHANG, Zhao-wei JIE, Han-yang ZHENG, Xiao-han ZHU, Wei-ya XIE, Can HU, Zhan-fang LIU, Hong-ling GUO, Jun ZHU, Hong-cheng MEI

“…Diesel is often used as an accelerant in arson cases, so identifying its source is crucial to the investigation. Stable isotope analysis is a method for detecting molecular elements at the element level. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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Addressing the need for non-invasive lung assessment with time-resolved diffuse optics by Giulia Maffeis, Nicola Serra, Alessandro Bossi, Alessandro Bossi, Elisabetta Avanzi, Alberto Dalla Mora, Laura Di Sieno, Rinaldo Cubeddu, Antonio Pifferi, Antonio Pifferi, Paola Taroni, Paola Taroni

“…Monitoring lungs functions is key for detecting several morbidities and pathologies. …”
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In Situ Analysis of Jupiter's Broadband Kilometric Auroral Radio Emissions With Juno by B. Collet, L. Lamy, C. K. Louis, V. Hue, T. K. Kim

“…By applying a growth rate analysis based on JADE‐E electron measurements, we show that the observed waves are driven by the Cyclotron Maser Instability from two free energy sources. The main emission, produced slightly above the electron gyrofrequency fce, is amplified by conics‐type electron distribution functions (EDF) with 2–30 keV electron characteristic energies. …”
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Optimization of Cross-Border e-Commerce Logistics Supervision System Based on Internet of Things Technology by Pingping Sun, Lingang Gu

“…First of all, the framework adopts the national certification center to supervise the logistics service platform and logistics service platform to supervise the logistics participants of the secondary supervision system. Then, functions such as swarm intelligence contract, legal anonymous identity authentication, intelligent transaction matching, abnormal data analysis and detection, privacy protection, and traceability are realized under the framework of the supervision system. …”
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Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across di... by Beate C. Braun, Michał M. Hryciuk, Dorina Meneghini

“…Abstract In the domestic cat (Felis catus), the corpus luteum (CL) is the main source of progestogen during pregnancy. Here, we studied gene expression changes in different life cycle stages of the CL of pseudopregnant cats to identify potential regulatory factors. …”
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Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

“…It then enables a range of control and visualization functions for both local and remote users. Emphasis is placed on describing the system architecture and its key components, as well as the software methodologies used for signal decoding on the receiver side, where several algorithms are implemented using open-source, platform-independent technologies, such as JavaScript, HTML, and CSS. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…To enhance performance, we implemented an ensemble learning strategy that incorporated a reparameterized Gompertz function, which assigned fuzzy ranks based on each model’s prediction confidence for each test case. …”
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Sunlight Noise Mitigation in FMCW LiDAR Using FADOF by Longfei Yin, Wei Tang, Ziwei Geng, Haodi Zhan, Lei Chen, Dasheng Qian, Guohua Wu, Bin Luo

“…This study has the potential to extend the application of LiDAR systems to more extreme environments with strong background noise, enabling their functionality in a broader range of scenarios.…”
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Torsion Pendulum Apparatus for Ground Testing of Space Inertial Sensor by Shaoxin Wang, Zuolei Wang, Dongxu Liu, Peng Dong, Jian Min, Ziren Luo, Keqi Qi, Jungang Lei

“…The precise movement of the test mass along a geodesic is crucial for gravitational wave detection in space. To maintain this motion, the core payload-inertial sensor incorporates multiple functional units designed to mitigate various sources of stray force noise affecting the test mass. …”
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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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