Reverse vaccinology and immunoinformatics approaches for multi-epitope vaccine design against Klebsiella pneumoniae reveal a novel vaccine target protein by Mayada M. Elfadil, Samah Omer A. Samhoon, Moaaz M. Saadaldin, Sabah A.E. Ibrahim, Ahmed Abdelghyoum M. Mohamed, Omnia H. Suliman, Osama Mohamed, Nadzirah Damiri, Mohd Firdaus-Raih, Sofia B. Mohamed, Qurashi. M. Ali

“…The construct was further optimized for mammalian expression, achieving an ideal GC content (48.27 %) and a codon adaptation index (CAI) of 1.0, facilitating efficient in silico cloning into the pcDNA3 vector. …”
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A Novel -Inspired Routing Protocol for Wireless Sensor Networks by Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Ruijuan Zheng, Qingtao Wu, Hongke Zhang

“…There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). …”
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Comparative Assessment of Functional and Morphological Markers in Guinea Pig (<i>Cavia porcellus</i>) Oocytes Collected at Different Estrous Cycle Phases by Jorge X. Samaniego, José L. Pesántez, Fernando P. Perea, Andrea P. Pazmiño, Jorge B. Dután, Salvador Ruiz

“…These findings indicate that both intrinsic (e.g., morphological quality) and extrinsic (e.g., estrous cycle stage) factors modulated oocyte competence. Selecting oocytes based on integrated morphological and physiological criteria may improve the efficiency of IVM protocols in this species.…”
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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

“…Canopy chlorophyll content (CCC) is a key indicator for assessing the carbon sequestration capacity and material cycling efficiency of ecosystems, and its accurate retrieval holds significant importance for analyzing ecosystem functioning. …”
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Technical note: Flow cytometry assays for the detection, counting and cell sorting of polyphosphate-accumulating bacteria by C. Bouquet, H. Billard, H. Billard, C. C. Bidaud, J. Colombet, J. Colombet, Y.-T. Chang, J. Artigas, I. Batisson, K. Benzerara, F. Skouri-Panet, E. Duprat, A.-C. Lehours

“…In this study, we evaluated the potential of this approach by testing various factors that could affect the efficiency and specificity of polyphosphate labeling. …”
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Bioherbicides: revolutionizing weed management for sustainable agriculture in the era of One-health by Taqi Raza, Muhammad Farhan Qadir, Shakeel Imran, Zobia Khatoon, Muhammad Yahya Khan, Mouna Mechri, Waleed Asghar, Muhmmad Ishaq Asif Rehmani, Sergio de los Santos Villalobos, Tooba Mumtaz, Rashid Iqbal

“…To develop an effective bioherbicide, specific and complex types of interaction have been developed between targeted weeds and biological agents. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…We demonstrate that the Bayesian optimization method surpasses the traditional grid search method regarding both performance and efficiency. The BOTS-BPNN model also shows superior performance over other common machine learning models like random forest (RF). …”
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Automated VMAT planning for short-course radiotherapy in locally advanced rectal cancer. by Qiong Zhou, Liwen Qian, Chong Shen, Xinyan Bei, Gaojie Liu, Xiaonan Sun

“…<h4>Purpose</h4>This study aims to develop a fully automated VMAT planning program for short-course radiotherapy (SCRT) in Locally Advanced Rectal Cancer (LARC) and assess its plan quality, feasibility, and efficiency.<h4>Materials and methods</h4>Thirty LARC patients who underwent short-course VMAT treatment were retrospectively selected from our institution for this study. …”
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NevusCheck: A Dysplastic Nevi Detection Model Using Convolutional Neural Networks by Andreluis Ingaroca-Torres, Lucía Heredia-Moscoso, Alvaro Aures-García

“…Therefore, the research aims to develop a model to diagnose dysplastic nevi using a deep learning network whose classification is based on the pre-trained architecture EfficientNet-B7, which was selected for its high classification accuracy and low computational complexity. …”
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The effect of hypervigilance on visual working memory in insomnia disorder: Evidence from ERP study by Chao Yang, Junhua Mei, Xinhua Song, Jinzhen Jiang, Cancheng Li, Anan Ping, Xingke Wang, Shaodi Wang, Sheng Yang, Yingchao Jiang, Kun Wang, Yushan Bian, Yan Wang, Guohua Chen, Changming Wang, Xiaoli Li

“…Conclusion: These findings suggest that ID patients exhibit hypervigilance, which affects the efficiency of visual working memory, impairs attention regulation, and increases cognitive load during tasks. …”
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Probability updating-based adaptive hybrid coding

“…To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of adjacent syntax elements. …”
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On the Location of a Constrained k-Tree Facility in a Tree Network with Unreliable Edges by Abdallah W. Aboutahoun, Eman Fares

“…The time complexity of the proposed algorithm is Olkn. Examples are provided to illustrate the performance of the proposed algorithm.…”
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Analysis of Meteorological Fluctuations and Long-Term Drought Assessment in the Southern Coasts of Iran: An Observational and Climate Modeling Approach by Seyed Hassan Alavinia, Mahdi Salmanpour, Atefeh Abkar

“…Conclusions: The analysis of the SPI (Standardized Precipitation Index) with observational data demonstrated that drought patterns in this region are complex and influenced by multiple factors, including changes in atmospheric systems, oceanic circulation patterns, and human activities. …”
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Experimental Investigation on Energy Dissipation in Diversion Tunnel at the Head of Canal by ZHONG Kun, YAN Fu-gen, GUO Jian-hua, YI Shun, LI Min-kang

“…[Objective] The flow patterns of energy dissipation inside tunnels are complex, and theoretical calculations cannot meet design requirements. …”
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Design and Implementation of Digital Twin Factory Synchronized in Real-Time Using MQTT by Yechang Cho, Sang Do Noh

“…While traditional approaches often encounter challenges due to high investment costs and design complexities, this paper proposes a cost-effective and practical solution that reflects actual factory conditions.…”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…Conclusions: The force on a cutter with excessive wear is more complex and variable, increasing the risk of fatigue failure. …”
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A multiple biomolecules-based rapid life detection protocol embedded in a rover scientific subsystem for soil sample analysis by Akib Zaman, Fardeen Ashraf, Haseena Khan, Faria Noshin Ahona, Oliullah Samir, Asif Mahmud Rayhan, Sadia Nur Nazifa, Hafsah Mahzabin Chowdhury, Md. Mahbubur Rahman

“…This research focuses on the objective of the extraterrestrial life detection domain and seeks to provide an efficient protocol that can produce life detection decisions based on empirical data obtained through chemical analysis under time and resource-constrained conditions. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…The software, designed to run in a console, offers an interactive experience, guided by keyboard inputs, assisting users along the way through data processing and hiding the complexity of command lines by letting them concentrate on selecting parameters to apply in each step of the process. …”
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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…However, recurrent models struggle with suboptimal parallel computational efficiency and error accumulation, convolutional models face challenges in capturing long-range dependencies, and Transformer models are limited by their quadratic time complexity. …”
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ARM-Net: A Tri-Phase Integrated Network for Hyperspectral Image Compression by Qizhi Fang, Zixuan Wang, Jingang Wang, Lili Zhang

“…The second stage concentrates on high-fidelity compression, efficiently encoding both spatial and spectral information within the sampled band clusters. …”
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