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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Multiple active site metal-based catalysts for C-N coupling reactions and the beyond by Mingzheng Shao, Yangbo Ma, Yuecheng Xiong, Liang Guo, Yunhao Wang, Guozhi Wang, Fu Liu, Fengkun Hao, Xiang Meng, Xintao Ma, Zhanxi Fan

“…However, the low Faradaic efficiency and poor selectivity of C-N coupling reactions, arisen from obscure understanding of the complex multi-step reactions and competitive side reactions, hinder their practical applications. …”
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Issues in shale oil core porosity measurement by Jinqing ZHANG, Guoliang TAO, Dai HUANG, Cuijuan LUO, Lingbo LIU, Yunfeng YANG

“…Bulk samples require a long time for pressure equilibrium due to their complex pore tortuosity, while grain samples exhibit improved nanopore connectivity in shale with more pore space detected, making the measurement more accurate and reliable. …”
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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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Aircraft Measurements of Physicochemical Evolution of Atmospheric Aerosols in Air Pollution Plumes over a Megacity and Suburban Areas by Taehyun Park, Yongjoo Choi, Jinsoo Choi, Junyoung Ahn, Jinsoo Park, Yonghwan Lee, Jihee Ban, Gyutae Park, Seokwon Kang, Kyunghoon Kim, Beom-Keun Seo, Jongho Kim, Soobog Park, Hyunjae Kim, HaEun Jeon, Taehyoung Lee

“…This study highlights the necessity of understanding the complex vertical structures of particle layers, such as those identified in and around the SMA, in order to facilitate the adoption of efficient air quality control strategies and enhance air quality forecasting.…”
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SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…On the other hand, the discriminator ensures that the output matches realistic segmentation patterns. The SegAN model efficiently handles the local and global contextual information for precise segmentation by considering Pixel-Wise and structural loss measures that assist in better segmentation of complex structures. …”
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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

“…Our method offers a flexible and efficient strategy for targeted transcript allocation based on cellular morphology, optimizing CNS cell segmentation in FFPE-preserved human brain tissue.…”
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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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Overview of Oncology: Drug-Induced Cardiac Toxicity by Nilima Rajpal Kundnani, Vincenzo Passini, Iulia Stefania Carlogea, Patrick Dumitrescu, Vlad Meche, Roxana Buzas, Daniel Marius Duda-Seiman

“…Overall, these complications fall under the term “drug induced cardiotoxicity”, mainly due to chemotherapy drugs being specifically toxic to the heart, causing a decrease in the heart’s capacity to pump blood efficiently and leading to a reduction in the left ventricular ejection fraction (LVEF), and subsequently possibly leading to heart failure. …”
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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

“…Carbon Capture and Storage (CCS) is a key technology for reducing anthropogenic greenhouse gas emissions, in which pipelines play a vital role in transporting CO₂ captured from industrial emitters to geological storage sites. To aid the efficient and safe operation of the CO₂ transport infrastructure, robust, accurate, and reliable solutions for monitoring pipelines transporting industrial CO₂ streams are urgently needed. …”
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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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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…To demonstrate the efficiency of the proposed hybrid method, several experiments are performed on several texture databases. …”
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Well Testing of Fracture Corridors in Naturally Fractured Reservoirs for an Improved Recovery Strategy by Yingying Guo, Andrew Wojtanowicz

“…Among them, corridor-type NFRs, characterized by discrete fracture corridors, exhibit complex flow behavior that challenges conventional development strategies and reduces recovery efficiency. …”
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Prevention of Bankruptcy of Industrial Enterprises and Organizations with State Participation by E. V. Gavrilin, S. V. Khetagurov

“…The study may be of interest to public authorities in determining the methodological and regulatory framework, as well as strategies to improve the efficiency of management of state enterprises and organizations, and ensure economic security.…”
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A Comprehensive Review of Analytical Approaches for Carotenoids Assessment in Plant-Based Foods: Advances, Applications, and Future Directions by Marcin A. Kurek, Havva Aktaş, Patryk Pokorski, Ewelina Pogorzelska-Nowicka, Jorge A. Custodio-Mendoza

“…Accurate quantification of these pigments is critical for food science, nutrition, and health research, yet their analysis remains challenging due to structural complexity, susceptibility to degradation, and matrix interferences. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…This research, however, utilizes 3D depth information to enhance both accuracy and efficiency. By employing HRNet-based keypoint detection and transfer learning through deep learning, the precise locations of body parts are identified and combined with depth maps to automatically calculate body circumferences. …”
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