Feature fusion with attributed deepwalk for protein–protein interaction prediction by Mei-Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud

“…While experimental methods for detecting PPIs exist, computational approaches offer a more efficient alternative. …”
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Development and field application of metabarcoding-adapted mt-ND4 markers shows substantial gene flow and varying local pressures on Haemonchus contortus and Teladorsagia circumcin... by Osama Zahid, Umer Chaudhry, Neil Donald Sargison

“…Modern sequencing techniques enable the efficient exploration of genetic diversity, necessary to inform effective parasite control. …”
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Identification of Mycobacterium tuberculosis and its Drug Resistance by Targeted Nanopore Sequencing Technology by Chen Tang, Feng Xu, Xiaoqun Zheng, Guangxin Xiang

“…The main causative agents of TB are known as Mycobacterium tuberculosis (MTB), which exhibits a highly complex drug resistance profile. Traditional culture-based phenotypic drug susceptibility testing is time-consuming, and PCR-based assays are restricted to detecting known mutational hotspots. …”
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Reveal genomic insights into cotton domestication and improvement using gene level functional haplotype-based GWAS by Guoan Qi, Yiqian Li, Wanying Zhang, Zegang Han, Jinwen Chen, Ziqian Zhang, Lisha Xuan, Rui Chen, Lei Fang, Yan Hu, Tianzhen Zhang

“…Abstract Genome-wide association studies (GWAS) are widely used to detect associations between genetic variants and phenotypes. …”
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Evaluating Degenerative Lumbar Disease with Markerless 3D Motion Capture: Reliability and Validity in Sit-to-Stand Test by Yi-Ting Huang, Szu-Hua Chen, Chao-Ying Chen, Shiu-Min Wang, Pei-Yuan Wu, Dar-Ming Lai, Wei-Li Hsu

“…While marker-based motion capture systems detect these changes, their complexity limits clinical use. …”
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Adaptively evolved human oral actinomyces‐sourced defensins show therapeutic potential by Shunyi Zhu, Bin Gao, Yoshitaka Umetsu, Steve Peigneur, Ping Li, Shinya Ohki, Jan Tytgat

“…Signatures of natural selection were detected in defensins from the actinomyces colonized in human oral cavity and ruminant rumen and dental plaque, highlighting their role in adaptation to complex multispecies bacterial communities. …”
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Monitoring the Occurrence of <i>Aspergillus</i> in the Air of Intensive Care Units by Anna Inglot, Agnieszka Gniadek, Zuzanna Tokarz, Wirginia Krzyściak, Monika Papież, Paweł Krzyściak

“…The highest concentration of <i>Aspergillus</i> species complexes was detected during autumn, while the lowest was in spring. …”
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Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense by Yung-Jhe Yan, Jen-Tzung Chien, Zi-Yin Hong, Wen-Li Lee, Kuo-Dung Chiou, Chi-Cho Huang, Mang Ou-Yang

“…Hyperspectral image data consist of hundreds of spectral bands, resulting in large data volumes that are not suitable for rapid detection applications. Eight signature bands were selected through a systematic feature extraction process to address these limitations, reducing data dimensionality and acquisition complexity. …”
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Enhancing helmet pressure sensing with advanced 3D printed gyroid architectures by Chao Bao, Danielle Jaye Agron, Taeil Kim, Chris Vattathichirayi, Edwin L. Thomas, Woo Soo Kim

“…Existing simulation models often overlook the complexities of the 3D printing process, leading to discrepancies between isotropic models and empirical data. …”
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Beyond the nuclear border: single-cell analysis of in situ sequenced human brain tissue using cellular features by Janssen M. Kotah, Thomas Rust, Hilmar R. J. van Weering, Janneke Bosma, Amber L. Woudstra, Susanne M. Kooistra, Bart J. L. Eggen

“…A key challenge in ISS data analysis is optimizing transcript allocation while minimizing misallocation, particularly in the morphologically complex central nervous system (CNS). We compared geospatial methods using nuclear and expanded nuclear boundaries for segmentation and transcript allocation. …”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

“…To address the aforementioned issues, this work proposed a machine-learning technique that uses phases to detect Bone scintigraphy. The first phase in the proposed model is the feature extraction and it was conducted based on integrating the Mobile Vision Transformer (MobileViT) model in our framework to capture highly complex representations from raw medical imagery using two primary components including ViT and lightweight CNN featuring a limited number of parameters. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…The improved YOLOv5s module integrates Efficient Channel Attention (ECA) and BiFPN to boost feature extraction and small-object recognition, while Soft-NMS is used to reduce missed detections. …”
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Connotation and practice of the integration of academic field based on Bourdieu’s theory——taking the cultivation of cyberspace security talents as an example by Qian ZHOU, Haiping HUANG, Le WANG, Yanchun ZHANG, Fu XIAO

“…The deployment of network security has become a crucial strategy for the development of modern nations, with skilled professionals serving as the core driving force behind cybersecurity efforts.Cultivating cybersecurity talents and fostering team building are essential for China's talent reserves and strategic capital accumulation.With economic globalization, 0-day vulnerabilities have constantly emerged in information systems, attack chains have become increasingly complex, threat targets were difficult to detect, and hidden viruses varied over time.Talents trained by traditional universities for network security were unable to adapt to innovative production and practical activities in the new fields, as it was confined to their training structure system.In order to break through the shackles of the internal administrative structure and traditional curriculum system of universities, and ease the contradiction between the uncertainty of cyberspace security situation and the standardization of talent cultivation, the talent cultivation models based on Bourdieu's theory were studied, the fusion meaning of cultural capital in the academic field was analyzed and three practical standards were put forward in terms of teaching content, cultivation model and teaching opportunity of cyberspace security talents in combination with the actual cases of the “Fang class”.In terms of education content, standards and open knowledge systems were established to meet the differentiated needs of students.The mentorship approach was employed to construct habitus, fostering students’ ability to adapt flexibly to problems by adopting different cognitive thinking modes.Favorable teaching opportunities were utilized by tutors in various roles to promote efficient integration of individuals and fields, helping students establish a valuable and stable mindset.By leveraging Bourdieu's theory to explore the integration path of academic fields, it has leveraged the advantages of independently cultivating high-quality talents, vigorously promoting technological innovation and the healthy ecological development of the industry.…”
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A Review of Optimization Methods for Pipeline Monitoring Systems: Applications and Challenges for CO₂ Transport by Teke Xu, Sergey Martynov, Haroun Mahgerefteh

“…The impacts of the physical properties of CO₂ and complex designs and operation scenarios of CO₂ transport on the pipeline monitoring systems design are discussed. …”
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Implementation of SLAM-Based Online Mapping and Autonomous Trajectory Execution in Software and Hardware on the Research Platform Nimbulus-e by Thomas Schmitz, Marcel Mayer, Theo Nonnenmacher, Matthias Schmitz

“…The implementation is validated through both full vehicle simulations using an ADAMS Car—MATLAB co-simulation and a scaled physical prototype, demonstrating the effectiveness of the system in navigating complex environments. This work contributes to the field of autonomous systems by demonstrating the potential of combining advanced sensor technologies with innovative control algorithms to achieve reliable and efficient navigation. …”
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A Sleep Sensor Made with Electret Condenser Microphones by Teru Kamogashira, Tatsuya Yamasoba, Shu Kikuta, Kenji Kondo

“…This customized configuration allows the ECM to detect subtle changes in airflow associated with breathing patterns, enabling the monitoring of respiratory activity with minimal invasiveness and complexity. …”
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Comprehensive Phenotyping of Extracellular Vesicles in Plasma of Healthy Humans – Insights Into Cellular Origin and Biological Variation by Marija Holcar, Ivica Marić, Tobias Tertel, Katja Goričar, Urška Čegovnik Primožič, Darko Černe, Bernd Giebel, Metka Lenassi

“…Cell‐specific circulating EV subsets show a wide range of concentrations that do not correlate with cell‐of‐origin concentrations in blood, suggesting steady‐state EV subset concentrations are regulated by complex mechanisms, which differ even for EV subsets from the same cell type. …”
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Identification and Functional Testing of ERCC2 Mutations in a Multi-national Cohort of Patients with Familial Breast- and Ovarian Cancer. by Andreas Rump, Anna Benet-Pages, Steffen Schubert, Jan Dominik Kuhlmann, Ramūnas Janavičius, Eva Macháčková, Lenka Foretová, Zdenek Kleibl, Filip Lhota, Petra Zemankova, Elitza Betcheva-Krajcir, Luisa Mackenroth, Karl Hackmann, Janin Lehmann, Anke Nissen, Nataliya DiDonato, Romy Opitz, Holger Thiele, Karin Kast, Pauline Wimberger, Elke Holinski-Feder, Steffen Emmert, Evelin Schröck, Barbara Klink

“…Ten out of eleven mutations that were tested exemplarily in cell-based functional assays exert diminished excision repair efficiency and/or decreased transcriptional activation capability. …”
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Comprehensive characterization and environmental implications of industrial and hazardous incineration ashes: insights into chemistry, mineralogy, elements’ fractionation and leach... by Monika Kasina, Anna Telk, Małgorzata Wendorff-Belon

“…The complexity of mineral composition and bonds within the sample indicates the necessity for a thorough environmental assessment to understand the potential impacts on the ecosystem. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The significance of the study is due to the increasing complexity of regional economic growth forecasting in the context of digital transformation and the limitations of traditional analysis methods. …”
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