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  1. 1121

    pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

    Published 2025-06-01
    “…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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  2. 1122

    MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

    Published 2025-05-01
    “…In software version control systems, like Git, merge conflicts typically arise when multiple developers edit the same segment of a source file from different branches. Detecting merge conflicts can be automated; however, resolving merge conflicts is tedious and demanding. …”
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  3. 1123

    Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

    Published 2025-03-01
    “…In recent years microgrid technology has created widespread interest for the integration of renewable energy sources into main utility grid to supply clean energy to the end users. …”
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  4. 1124

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

    Published 2017-01-01
    “…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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  5. 1125

    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

    Published 2021-01-01
    “…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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  6. 1126

    An Empirical Framework Characterizing the Metallicity and Star-formation History Dependence of X-Ray Binary Population Formation and Emission in Galaxies by Bret D. Lehmer, Erik B. Monson, Rafael T. Eufrasio, Amirnezam Amiri, Keith Doore, Antara Basu-Zych, Kristen Garofali, Lidia Oskinova, Jeff J. Andrews, Vallia Antoniou, Robel Geda, Jenny E. Greene, Konstantinos Kovlakas, Margaret Lazzarini, Chris T. Richardson

    Published 2024-01-01
    “…We present a new empirical framework modeling the metallicity and star formation history (SFH) dependence of X-ray luminous ( L ≳ 10 ^36 erg s ^−1 ) point-source population X-ray luminosity functions (XLFs) in normal galaxies. …”
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  7. 1127

    Specific performance of IDT edge fingers by E. DANICKI, T, GAFKA

    Published 2014-05-01
    “…The theory shows that the edge strips of the system works differently as compared with these positioned inside the system. The familiar δ-function model however, can still be applied provided that the δ-sources of SAW are properly scaled and shifted from their position at the centres of the strips. …”
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  8. 1128

    Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

    Published 2025-05-01
    “…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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  9. 1129

    Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

    Published 2025-04-01
    “…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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  10. 1130

    Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

    Published 2025-07-01
    “…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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  11. 1131

    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

    Published 2025-04-01
    “…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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  12. 1132
  13. 1133

    Unraveling the complexities: morpho-physiological and proteomic responses of pearl millet (Pennisetum glaucum) to dual drought and salt stress by Charlie Sithole, Rotondwa Rabelani Sinthumule, Joseph Lesibe Gaorongwe, Oziniel Ruzvidzo, Tshegofatso Bridget Dikobe

    Published 2025-04-01
    “…Catalytic and binding activities were the predominant molecular functions detected across treatments suggesting their central role in stress response. …”
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  14. 1134
  15. 1135

    Unveiling the ecological processes driving soil and lichen microbiome assembly along an urbanization gradient by Panji Cahya Mawarda, Rens van der Kaaij, Francisco Dini-Andreote, Deniz Duijker, Michael Stech, Adrianus GCL Speksnijder

    Published 2025-06-01
    “…Our findings revealed that the urbanization gradient shaped the soil microbiome, while the lichen microbiomes exhibited strong host specificity and showed no significant changes in diversity along the urbanization gradient. Heterogeneous selection and dispersal limitation primarily governed the soil community assembly and higher community turnover in medium- and highly urbanized zones compared to low-urbanized zones, indicating an increased influence of environmental pressures, altered resources, and habitat fragmentation in more urbanized areas. …”
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  16. 1136
  17. 1137

    Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

    Published 2024-12-01
    “…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
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  18. 1138

    Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

    Published 2025-07-01
    “…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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  19. 1139

    Benefits of Urban Parks in Different Land Uses by Wei-Ting Chen, Sheng-Jung Ou

    Published 2025-04-01
    “…In previous studies, algorithms were developed to select appropriate locations for parks with distinctive green patches. …”
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  20. 1140