ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…This comprehensive software provides an end-to-end processing pipeline encompassing a wide range of functionalities: preprocessing, including background removal and camera calibration; three-dimensional reconstruction through diffraction calculations; particle analysis, including detection and tracking; and result visualization. …”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Copy number variations (CNVs) have emerged as one of the most important sources of genetic variation, influencing phenotypic traits by altering gene expression and dosage. …”
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Analysis of Differences in Volatile Components of Five Lauraceae Plants From Different Genera Based on HS-SPME-GC-MS by Zhengjiu Wang, Hao Liu, Anping Liu, Peng Liu, Jiuyang Zhao, Shaoli Fan, Jinhui Wang, Bahetiyar Keremu, Lu Yang, Le Li

“…Lauraceae plants are diverse in species and rich in volatile components, which possess functions such as insect repellency, antioxidant activity, and antibacterial properties. …”
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The small RNA complement of adult Schistosoma haematobium. by Andreas J Stroehlein, Neil D Young, Pasi K Korhonen, Ross S Hall, Aaron R Jex, Bonnie L Webster, David Rollinson, Paul J Brindley, Robin B Gasser

“…Of the sncRNAs that were not miRNAs, some related to the spliceosome (n = 21), biogenesis of other RNAs (n = 3) or ribozyme functions (n = 16), whereas most others (n = 3798) were novel ('orphans') with unknown functions.…”
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Exome analysis reveals species divergence in TYR and identifies species genetic markers in five endemic Macaca species on Sulawesi Island by Xiaochan Yan, Nami Arakawa, Kanthi Arum Widayati, Laurentia Henrieta Permita Sari Purba, Fahri Fahri, Bambang Suryobroto, Yohey Terai, Hiroo Imai

“…Additionally, it explores how these genetic differences influence biological functions, and identifies species-specific genetic markers for species identification and conservation. …”
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INFORMATIONAL-ANALYTIC MODEL OF REGIONAL PROJECT PORTFOLIO FORMING by I. A. Osaulenko

“…The Triple Helix conception using for concrete definition of the functions of the regional development’s motive forces. …”
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Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution by Diego Guffanti, Moisés Filiberto Mora Murillo, Marco Alejandro Hinojosa, Santiago Bustamante Sanchez, Javier Oswaldo Obregón Gutiérrez, Nelson Gutiérrez, Miguel Sánchez

“…These results demonstrate the relationship between model complexity and accuracy and suggest that the motor-specific model is more appropriate for applications requiring precise mapping or localization, such as SLAM, while the simplified model may be suitable for simpler use cases with lower computational requirements, such as embedded systems with limited resources. This paper provides a practical evaluation of the accuracy and computational performance of two modeling approaches, highlighting the implications of model selection for the design of navigation tasks.…”
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Facies-Controlled Modeling for Permeability of Tight Gas Reservoir Based on Hydrodynamic and Geophysics Characteristics by Peng Yu

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Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

“…When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.…”
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Livestock Production Challenges and Improved Forage Production Efforts in the Damot Gale District of Wolaita Zone, Ethiopia by Shimelis Mengistu, Ajebu Nurfeta, Adugna Tolera, Melkamu Bezabih, Abera Adie, Endalkachew Wolde-meskel, Mesfin Zenebe

“…These forages are produced for the purpose of two or more functions (feed, cash, and preventing erosion) that vary (p ≤ 0.01) among intervention status. …”
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Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

“…This methodology profiles the model that better adapts to the data, aiding in the selection of the simplest model that achieves the desired accuracy, functioning similarly to a recommender system for model selection. …”
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Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

“…The research provides a detailed analysis of energy application types and methods, as well as energy consumption models for each of the aforesaid three types of green spaces.ResultsThe research identifies three core challenges in the application of renewable energy in urban green spaces: 1) How to scientifically select the most appropriate renewable energy types and optimize spatial layouts in accordance with natural resource constraints and the functional requirements of green spaces in order to improve energy efficiency; 2) how to effectively integrate the technical functions of energy facilities with landscape and ecological values, so as to achieve a seamless integration of energy infrastructure with landscape, thereby enhancing both environmental adaptability and public acceptance; and 3) how to develop flexible energy utilization and management strategies tailored to the energy consumption characteristics of different green space types, thus ensuring long-term, stable, and sustainable energy supply. …”
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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

“…MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. The dataset was randomly split using the scikit-learn package to facilitate both training and evaluation. …”
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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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Mitochondrial genome assembly of the Chinese endemic species of Camellia luteoflora and revealing its repetitive sequence mediated recombination, codon preferences and MTPTs by Xu Xiao, Zhaohui Ran, Chao Yan, Weihao Gu, Zhi Li

“…Phylogenetic reconstruction using mitochondrial PCGs positioned C. luteoflora in closest evolutionary proximity to Camellia sinensis var. sinensis. Selection pressure analysis (Ka/Ks ratios < 1 for 11 PCGs) and nucleotide diversity assessment (Pi values: 0–0.00711) indicated strong purifying selection and low sequence divergence.This study provides the first comprehensive mitochondrial genomic resource for C. luteoflora, offering critical insights for germplasm conservation, comparative organelle genomics, phylogenetic resolution, and evolutionary adaptation studies in Camellia species.…”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…In this work, we study the evolution of the timing properties of Cygnus X-1 with AstroSat/LAXPC, during the transition of the source from the hard to soft state in 2017. We use a novel frequency-segmented technique to fit simultaneously the cross spectra and parts of the power spectra and coherence function with a multi-Lorentzian model and predict the phase lags and the complementary parts of the power spectra and coherence function. …”
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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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The characterisation of the complete mitochondrial genome of Polygonatum Kingianum reveals recombination mediated by repeats associated with DNA replication by Aien Tao, Jing Tao, Zhengkun Gan, Yue Zhang, Chenglong Yin, Guihua Jiang

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Review on molecular mechanisms of Casparian strip formation in root endodermal cells and its regulatory roles in mineral nutrient transport(植物根系内皮层凯氏带形成的分子机制及对矿质养分转运调控综述)... by 肖伊辉(XIAO Yihui), 冯志航(FENG Zhihang), 赖雨秋(LAI Yuqiu), 陈慧婷(CHEN Huiting), 李保海(LI Baohai)

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