Genetic diversity insights from population genomics and machine learning tools for Nordic Arctic charr (Salvelinus alpinus) populations by Christos Palaiokostas, Khrystyna Kurta, Fotis Pappas, Henrik Jeuthe, Ørjan Hagen, José Beirão, Matti Janhunen, Antti Kause

“…Overall, our study affirmed the utility of the developed ddRAD-seq genotyping method and unveiled the genetic structure of the studied populations, both of which could contribute to their more efficient management by captive breeding.…”
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Innovative dual-gene delivery platform using miR-124 and PD-1 via umbilical cord mesenchymal stem cells and exosome for glioblastoma therapy by Po-Fu Yueh, I-Tsang Chiang, Yueh-Shan Weng, Yu-Chang Liu, Raymond C. B. Wong, Cheng-Yu Chen, Justin Bo-Kai Hsu, Long-Bin Jeng, Woei-Cherng Shyu, Fei-Ting Hsu

“…However, delivering miRNA-based therapies remains a major obstacle due to the instability of RNA molecules and the difficulty in achieving targeted, efficient delivery. To address these issues, this research introduces an innovative, non-viral dual-gene delivery platform that utilizes umbilical cord mesenchymal stem cells (UMSCs) and their exosomes to transport miR-124 and programmed cell death protein-1 (PD-1). …”
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Chromosome painting reveals conserved centromere oligonucleotide sequences and comparable karyotypes across diverse Citrus species by Gong-Ao Xiao, Qiang-Ming Xia, Jia-Qin Ren, Yao-Yuan Duan, Xiao-Meng Wu, Wen-Wu Guo, Kai-Dong Xie

“…Oligo-FISH provides an efficient method for generating citrus centromere-specific markers. …”
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Covalent Affibody‐Molecular Glue Drug Conjugate Nanoagent for Proximity‐Enabled Reactive Therapeutics by Wenhui Gao, Xiaoyuan Yang, Qingrong Li, Yingchun Liu, Wei Huang, Xuelin Xia, Deyue Yan

“…Abstract Sulfur‐fluoride exchange (SuFEx) reaction is an emerging class of click chemistry reaction. Owing to its efficient reactivity under physiological conditions, SuFEx reaction is used to construct covalent protein drugs. …”
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Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification by Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah

“…IntroductionA brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care. …”
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Multi-input PINN Surrogate Model for Digital Twin of Lead-cooled Fast Reactor Main Pump by GUO Yiwen, LI Liangxing, XIANG Zutao, GUI Jiabin, SHI Shang, LEI Zhenxin, XU Xiangyang

“…The conclusion indicates that the surrogate model can effectively fit nonlinear training data, with high prediction accuracy and generalization capability, providing a rapid and efficient flow field prediction tool for the design of the MCP of LFRs, which can be used as the state tracking module in the corresponding digital twin software.…”
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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…This improvement can enhance the feature extraction ability of the Backbone network, as the new modules can fully utilize the information of all dimensions of the convolutional kernel. (2) An Efficient Channel Attention (ECA) module is added to the Neck for improving the network’s capability to extract deep semantic feature information of the detection target. (3) In the Bbox module of the prediction head, the Complete Intersection over Union (CIoU) loss function is replaced by the Weighted Intersection over Union version 3 (WIoUv3) loss function to improve the convergence speed of the bounding box loss function and reduce the convergence value of the loss function. …”
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Assessing the Influence of Marine Port Remediated Sediments on Highbush Blueberry Growth and Trace Elements Accumulation by Stefania Nin, Daniele Bonetti, Maurizio Antonetti, Cristina Macci, Edgardo Giordani, Lorenzo Bini

“…However, this accumulation did not reach toxic levels for the plants and did not negatively impact the physiological processes of control plants, which remained particularly efficient in the Duke cv, known for its Mn resistance. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…Although the MoE-Transformer addresses challenges of generalization gaps and sharp minima, demonstrating some limitations for efficient and accurate clinical text classification, this model still represents a significant advancement in the field. …”
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Effect of diamond content on properties of Ni-Cu/diamond composites prepared by electron beam selective melting by Haodong LI, Haishan WANG, Yonggang FAN

“…Therefore, it has become an inevitable trend to prepare drill matrix materials with excellent performance through more efficient preparation methods. MethodsNi-Cu/diamond composites, as potential PDC drill bit matrix, are successfully prepared by electron beam selective melting (EBSM). …”
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Preparation and characterization of thermal neutron sensitive lithium doped polystyrene plastic scintillators by ZHANG Kaihui, LI Xiang, DENG Mingxue, SHI Yun, ZHOU Qi, WANG Ke, CHEN Junfeng

“…While the performance of lithium-doped plastic scintillators still requires further improvement, these materials hold great potential for applications requiring efficient dual-mode detection of both fast and thermal neutrons.…”
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Can patient-reported profiles avoid unnecessary referral to a spine surgeon? An observational study to further develop the Nijmegen Decision Tool for Chronic Low Back Pain. by Miranda L van Hooff, Johanna M van Dongen, Veerle M Coupé, Maarten Spruit, Raymond W J G Ostelo, Marinus de Kleuver

“…This could lead to improved treatment outcomes, which results in a more efficient use of healthcare resources.…”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…In contrast, classical machine learning techniques offer a more efficient alternative but are often overlooked due to a lack of focus on data pre-processing, which is critical for achieving optimal performance. …”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed hybrid method includes three main steps: (1) preprocessing of hyperspectral image cubes, (2) deep feature extraction using the EfficientNet model, and (3) classification using Manhattan distance within a few-shot learning framework. …”
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Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

“…The proposed model offers simplicity in methodology, clear interpretability, and efficient deployment, making it a practical tool for agricultural and livestock management systems. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…This method offers a time-, cost-, and labour-efficient alternative to traditional experimental methods for predicting rock bolt performance. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…The SFOA-Bi-LSTM model offers several unique advantages, including efficient hyperparameter tuning via the SFOA, enhanced feature representation through an attention mechanism, and comprehensive temporal analysis using Bi-LSTM. …”
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Study protocol for a randomised-controlled study on emotion regulation training for adolescents with major depression: the KONNI study by Ellen Greimel, Lisa Feldmann, Charlotte Piechaczek, Frans Oort, Jürgen Bartling, Martin Schulte-Rüther, Gerd Schulte-Körne

“…Previously, it has been shown in healthy adults that a task-based training in CR is efficient to reduce negative affect, and that these effects translate into everyday life.This randomised controlled trial examines for the first time whether a task-based training in CR proves effective in MD adolescents. …”
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The race to disasters - is the international relief community ready for future disasters? by Kobi Peleg, Moran Bodas

“…A holistic approach that focuses on building large-scale agreements and coordination mechanisms, teaching citizens how to help each other until aid arrives, and strengthening resilience at the local level will equip communities for adaptive action during a disaster, improve coping and long-term rehabilitation, will lead to a more efficient, fairer and more durable global aid system.…”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…GFM inverters usually employ virtual impedances to obtain the reference currents for the OCCs. While very efficient in strong grids, such control architectures face stability problems if the grid short-circuit ratio becomes low. …”
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