GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

“…Here we propose a computationally efficient algorithm (GUESS) to explore complex genetic-association models and maximize genetic variant detection. …”
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An Intelligent Collaborative Charging System for Open-Pit Mines by Jinbo Li, Lin Bi, Zhuo Wang, Liyun Zhou

“…This approach resolves three critical limitations of conventional systems: (i) mechanical arm-based borehole detection difficulties, (ii) blast hole positioning inaccuracies, and (iii) complex transport routing. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…Among them, chromatography and electrochemistry require expensive and complex instruments or reagent; while spectrophotometry, although using simple equipment, has complex manual operation. …”
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Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework by Zeina Allaw, Ola Zein, Abdel-Mehsen Ahmad

“…Within the dynamic landscape of fifth-generation (5G) and emerging sixth-generation (6G) wireless networks, the adoption of network slicing has revolutionized telecommunications by enabling flexible and efficient resource allocation. However, this advancement introduces new security challenges, as traditional protection mechanisms struggle to address the dynamic and complex nature of sliced network environments. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Enhancing the efficiency and accuracy of pest detection under resource-limited conditions has thus become a critical issue. …”
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A versatile HPLC method collaborated with NaDES-ultrasound-assisted LLE and machine learning for purity testing and trace analysis of 1,4-benzodiazepines in crime scene evidence, h... by Walaa Nabil Abd-AlGhafar, Rasha Abo Shabana, Rania El-Shaheny, Manar M. Tolba

“…Therefore, the development of a fast, versatile, and high throughput method for the analysis of these compounds in hospital effluent and food samples from crime scenes is of paramount importance. However, efficient extraction from such complex matrices usually requires large volumes of toxic organic solvents, lengthy time, and high cost. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…These innovations collectively advance crack segmentation technology and provide a new solution for efficient crack detection in practical applications.…”
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Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…Results indicate that a WNN, using wavelet scattering features ranked by one-way anova, is optimal due to its consistency and reliability, while these features enhance computational efficiency by reducing classifier size. Sensitivity analysis demonstrates the classifier’s capacity to detect untrained faults, highlighting the importance of effective feature extraction and classification methods for fault diagnosis in complex robotic systems. …”
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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

“…Additionally, the dynamic linepack calculation method relies on complex online simulation systems, resulting in low calculation efficiency and challenges in meeting practical application needs. …”
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Development of a low-cost modular snake-like robot with 2-DOF modules for rescue operations in collapsed environments with fast communication by G Seeja, Arockia Selvakumar Arockia Doss, Berlin Hency, AS Faraz Ahmed

“…Locating trapped or lost individuals is critical in search and rescue, directly impacting survival rates and responder safety. Rapid victim detection enhances response efficiency and enables timely rescue actions. …”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…IntroductionCT-based classification of distal ulnar-radius fractures requires precise detection of subtle features for surgical planning, yet existing methods struggle to balance accuracy with clinical efficiency. …”
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A high performance laser induced graphene (LIG) dual biosensor for simultaneous monitoring of glucose and lactate by Hassan Hamidi, Richard Murray, Vincenzo Vezzoni, Somayyeh Bozorgzadeh, Alan O'Riordan, Daniele Pontiroli, Mauro Riccò, Aidan J. Quinn, Daniela Iacopino

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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…By combining blockchain’s decentralized storage capabilities with DRL’s dynamic optimization potential, the system demonstrates a scalable and efficient approach for distributed data analysis in complex scenarios.…”
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The clean analysis process of Mn2+ for industries: a comparative study on direct determination of high-concentration Mn2+ in solution using spectrophotometry by Yanli Xu, Fuyuan Xu, Yong Liu, Guangbin Zhu, Ying Chen, Ning Duan

“…The findings provide a substantial reference for the direct detection of other industrial components, promoting more efficient and environmentally friendly industrial practice.…”
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Cognitive assessment across normal aging and subjective cognitive decline using PGIMS and Stroop color-word test: A cross-sectional study by Akshata Rao, Abhijith R Rao, Bhawana Painkra, Sakthi Kiruthika, Sunil Kumar, Meenal Thakral, Swati Bajpai, Shodhan Aithal, Aparajit Ballav Dey, Prasun Chatterjee

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Method for assessing rodent infestation in plateau based on SegFormer. by Xiangjie Huang, Guoying Zhang, Chunmei Li, Yaosheng Han, Qing Dong, Hao Wang

“…Incorporating the efficient multi-scale attention (EMA) mechanism into SegFormer's encoder improves the model's capacity to capture global contextual information. …”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Precise 3D representations of complex and dynamic site geometries is essential for obstacle detection, progress monitoring, and safe operation. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The following results were obtained: 1) the new method for automated 5G and beyond network slices penetration testing was developed, leveraging Genetic Algorithms to optimize attack strategies; 2) a software tool for automating penetration testing was implemented, enabling efficient detection of critical and high-severity vulnerabilities and simulating attacks in a complex 5G network environment; 3) a test network architecture was created for experimentation, enabling a controlled evaluation of the methodology; 4) the experimental results demonstrated the effectiveness and operability of the proposed method. …”
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Rectified Adam Optimizer and LSTM with Attention Mechanism for ECG-Based Multi-class Classification of Cardiac Arrhythmia by T. Sivaranjani, B. Sasikumar, G. Sugitha

“…The model integrates long-term memory with an attention mechanism to enhance the classification performance of arrhythmia detection. Simulation results demonstrate that the proposed model achieves 99.40% accuracy, outperforming existing models and showing its efficiency in classifying CA for better diagnosis and early treatments.…”
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Research advances in polysaccharide utilization loci of rumen microorganism by GAO Ge, WANG Jiakun

“…Bacteroidetes are highly abundant in rumen and are considered as efficient degraders of polysaccharides, which can use PULs to arrange the detection, sequestration, digestion of complex carbohydrates. …”
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