A pragmatic pipeline for drug resistance and lineage identification in Mycobacterium tuberculosis using whole genome sequencing. by Linzy Elton, Alp Aydin, Neil Stoker, Sylvia Rofael, Letícia Muraro Wildner, Jabar Babatunde Pacome Agbo Achimi Abdul, John Tembo, Muzamil Abdel Hamid, Mfoutou Mapanguy Claujens Chastel, Julio Ortiz Canseco, Ronan Doyle, Giovanni Satta, Justin O'Grady, Adam Witney, Francine Ntoumi, Alimuddin Zumla, Timothy D McHugh

“…Software for basecalling and analysis were evaluated to find the most accurate resistance SNP and lineage predictor. Optimally, a spin-column CTAB DNA extraction method was combined with the RBK110.96 library preparation kit, high accuracy (HAC) basecalling and data analysis using TB-Profiler. …”
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Development of a novel amplicon based whole-genome sequencing framework for improved surveillance of Toscana virus by Martina Brandolini, Ludovica Ingletto, Giorgio Dirani, Silvia Zannoli, Andreea Maria Lapusneanu, Massimiliano Guerra, Alessandra Mistral De Pascali, Davide Lelli, Francesco Defilippo, Antonio Lavazza, Mattia Calzolari, Michele Dottori, Laura Dionisi, Claudia Colosimo, Giulia Gatti, Anna Marzucco, Maria Sofia Montanari, Laura Grumiro, Monica Cricca, Alessandra Scagliarini, Vittorio Sambri

“…This study presents a novel amplicon-based whole-genome sequencing (WGS) method using Illumina library preparation kits and proprietary software to optimize workflows and enhance bioinformatic analyses. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…Methods This retrospective study included 138 patients (78 LGGs, 60 HGGs) with left frontal gliomas. …”
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Development and application of a whole transcriptome sequencing assay for the detection of gene fusions in clinical cancer specimens by Songchen Zhao, Xinhua Du, Yan Zhang, Jing Bai, Lu Meng, Xuefei Li, Jiaxin Ma, HeYu Sheng, Xiaorui Fu, Yanfang Guan, Yuting Yi, Ling Yang, Xuefeng Xia, Xin Yi, Xinxin Tan, Caicun Zhou

“…However, the performance characteristics of whole transcriptome sequencing (WTS) for the detection of gene fusions have not been thoroughly investigated. …”
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Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism by Jin-Ling Bei, Ji-Quan Wang

“…Precise detection of potato diseases is critical for food security, yet traditional image segmentation methods struggle with challenges including uneven illumination, background noise, and the gradual color transitions of lesions under complex field conditions. …”
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FEM and Circuit Simulation-Optimized WPT With Magnetic In-Band Communication for E-Bike Applications by Eun S. Lee

“…The transmitter (Tx) and receiver (Rx) coils for e-bike IPT applications are optimized using finite element method (FEM) and circuit simulations to ensure efficient power transfer operation under rated charging conditions. …”
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Optimization of Hybrid Machining of Nomex Honeycomb Structures: Effect of the CZ10 Tool and Ultrasonic Vibrations on the Cutting Process by Oussama Beldi, Tarik Zarrouk, Ahmed Abbadi, Mohammed Nouari, Jamal-Eddine Salhi, Mohammed Abbadi, Mohamed Barboucha

“…However, the complex characteristics of this material require specialized machining techniques to avoid defects, ensure optimal surface quality, and preserve the integrity of the cutting tool. …”
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A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model by Ying Xu, Xinrong Ji, Zhengyang Zhu

“…The proposed method provides a novel approach to high-precision PV power forecasting by integrating multi-modal feature fusion and optimized weight allocation.…”
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Optimization of radiochemical purity assessment for [68Ga]Ga-EDOTREOTIDE (Somakit-TOC®): a shortened r-TLC method for improved PET radiopharmaceutical workflow by Arnaud Deschavannes, Kazuma Terashi, Marie Piquemal, Catherine Rioufol, Anthony Clotagatide

“…This study evaluates an optimized r-TLC method with a reduced migration distance (4 cm vs. 9 cm) to improve efficiency while maintaining analytical reliability. …”
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Sidelobe Level Suppression in Linear and Planar Phased Arrays Using Grey Wolf Optimization With Local Search Refinements by Muhammad Athallah Adriansyah, Aditya Inzani Wahdiyat, Ismi Rosyiana Fitri, Noor Asniza Murad, Catur Apriono

“…The proposed method combines the global search capability of grey wolf optimizer (GWO) with the Nelder-Mead local refinement to address the PSLL suppression challenge. …”
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A mixed-method approach to develop an eco-robust supply chain management framework for Bangladeshi RMG industries by Md Al Amin, Roberto Baldacci

“…This study adopts a mixed-method approach with a QFD-based Optimization Model to develop an Eco-Robust Supply Chain Management (ERSCM) framework. …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…It provides new ideas and methods for football match outcome prediction while offering valuable references for developing prediction models for other sports events. …”
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A Frequency Hybrid Multi-mode PWM Modulation Method for SiC Traction Inverter by HU Liang, FU Xiangyu, LYU Yongcan, FENG Ling, HU Dong

“…During high speeds above 30% rated speed, the current harmonics are optimized modulated to achieve motor current harmonic suppression, while the motor voltage utilization rate can reach 97%. …”
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Structural Design of Segmented Linings for High-Pressure CAES in Underground Workings: Method and Case Study by Sheng Wang, Mengfan Gao, Caichu Xia

“…The study determined, from an engineering case, that six seams are optimal when the lateral pressure coefficient <i>λ</i> is below 1, while four seams are more suitable when <i>λ</i> > 1. …”
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Risk management in short–term rental properties: methods and strategies for minimizing risks by N. O. Berezovskaia

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Research on ambient-temperature synthesis of high-strength geopolymer concrete: Parameter optimization and strength prediction model by Chenggong Zhao, Yuan Yuan, Shaojie Wen, Yunyang Wang, Benkun Tan

“…The research method is to optimize the aforementioned parameters based on work performance and strength indicators, and to reveal the optimization mechanism based on scanning electron microscopy and mercury intrusion testing. …”
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Progressive Landslide Prediction Using an Inverse Velocity Method with Multiple Monitoring Points of Synthetic Aperture Radar by Yi Ren, Yihai Zhang, Zhengxing Yu, Mengxiang Ma, Shanshan Hou, Haitao Ma

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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

“…Three machine learning models—a neural network model (BPNN), a regression model (GPR), and a tree-based model (RF)—were employed to predict <i>k</i>, with hyperparameters optimized via particle swarm optimization (PSO) and four-fold cross-validation applied to improve generalization. …”
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Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia by Christian M. Moreno-Rocha, José R. Nuñez-Alvarez, Juan Rivera-Alvarado, Alfredo Ghisayz Ruiz, Enderson A. Buelvas-Sanchez

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Research on Configuration Optimization and Control Methods for Mid-Deep Geothermal Heat Pumps Coupled with Air-Source Heat Pump Systems for Space Heating in Residential Buildings by Yanhui Wang, Jiewen Deng, Yangyang Su, Chenwei Peng, Minghui Ma, Yin Chen, Lei Fan, Min Chen, Qingpeng Wei, Hui Zhang

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