PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

“…We close by discussing next steps, including automating phenology annotations, adding new phenology targets, for example leaf phenology, and further integration with other resources to form a global central database integrating all in situ plant phenology resources.…”
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Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data by Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

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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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Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

“…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
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Spatiotemporal Variation in Aerosol Optical Depth and Its Potential Effects on Snowmelt in High Mountain Asia from 2004 to 2023 by Lichen Yin, Xin Wang, Wentao Du, Jizu Chen, Youyan Jiang, Weijun Sun, Chengde Yang, Bowen Li, Xingyu Xue, Changsheng Lu

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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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Molecular mechanisms of leukemogenesis by D. A. Domninskiy

“…Such targets can be enzymes, proteins with other (non-enzymatic) functions, genomic DNA, mRNA, or, for example, certain lipid components of cell membranes. …”
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Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing by Gabriel López-Peña, Ana Pallarés Vilar, Aida Jaafar, Silvia Simón-Fuente, Antonio Arranz, Maria Ribagorda, Miguel Manso-Silván, Emma Martín Rodríguez

“…This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. …”
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Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing by Jing Chen, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, Kedi Wang

“…Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. …”
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PoreWalker: a novel tool for the identification and characterization of channels in transmembrane proteins from their three-dimensional structure. by Marialuisa Pellegrini-Calace, Tim Maiwald, Janet M Thornton

“…Therefore, computational methods which, given a set of 3D coordinates, can automatically identify and describe channels in transmembrane proteins are key tools to provide insights into how they function.Herein we present PoreWalker, a fully automated method, which detects and fully characterises channels in transmembrane proteins from their 3D structures. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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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

“…Taking advantage of Juno in situ measurements within the auroral regions, we surveyed the Juno/Waves radio observations over the 60 first orbits to identify 7 bKOM source candidates. These were mostly detected during dawn storm auroral episodes (4/7) and three were found to be colocated with auroral cavities. …”
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WHO malaria nucleic acid amplification test external quality assessment scheme: results of eleven distributions over 6 years by Rebecca M. Thomson, Jane A. Cunningham, Michelle M. Gatton, Sean C. Murphy, Maria de la Paz Ade, Xavier C. Ding, Sandra Incardona, Eric Legrand, Naomi Lucchi, Didier Menard, Samuel L. Nsobya, Agatha C. Saez, Jaya Shrivastava, Peter L. Chiodini

“…The use of nucleic-acid amplification (NAAT) for detection of Plasmodium spp. has expanded rapidly in recent years, for epidemiological research globally and clinical care in high-resource settings. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

“…First, the cumulative distribution function and probability density function of FSO links with pointing error and two different detection technologies are derived. …”
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Safety and Probiotic Evaluation of Lactiplantibacillus plantarum CHEN1 and Its Metabolic Analysis of Soymilk Oligosaccharides by Zhina CHEN, Shiyi CAO, Linlin YIN, Mengyuan SHAO, Tao YE, Zhangrui XU, Xiaochen HUANG

“…The genetic characteristics of the strain were analyzed through genome sequencing and functional annotation. Phenotypic experiments, including hemolytic activity assays, detection of harmful metabolites, antibiotic susceptibility testing, tolerance experiments, hydrophobicity, and autoaggregation assays were conducted to evaluate its safety and probiotic potential. …”
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Spatial Variability and Periodicity of Precipitation in the Middle Reaches of the Yellow River, China by Yi He, Xingmin Mu, Peng Gao, Guangju Zhao, Fei Wang, Wenyi Sun, Yuqing Zhang

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Rosaceae phylogenomic studies provide insights into the evolution of new genes by Lan Jiang, Xiaoxu Li, Kun Lyu, Han Wang, Zhiyuan Li, Wang Qi, Lin Zhang, Yunpeng Cao

“…Given the lack of genomic resources, we assembled a HiFi and Nanopore sequencing-derived 458.58 Mb gap-free telomere-to-telomere high-quality R. banksiae genome with a scaffold N50 = 63.90 Mb. …”
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Investigation of the Application of Machine Learning Algorithms in Credit Risk Assessment of Medium and Micro Enterprises by Yujie Zhao

“…Thus, this proposed method achieves 14.65% high-risk detection with 5.56% financial revisions for the industry considered by the data source.…”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

“…To navigate a plume and, for example, find food, they must solve several challenges, including reliably identifying mixtures of odorants and their intensities, and discriminating odorant mixtures emanating from a single source from odorants emitted from separate sources and just mixing in the air. …”
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