A Method for Predicting Trajectories of Concealed Targets via a Hybrid Decomposition and State Prediction Framework by Zhengpeng Yang, Jiyan Yu, Miao Liu, Tongxing Peng, Huaiyan Wang

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Long-Read Sequencing and Structural Variant Detection: Unlocking the Hidden Genome in Rare Genetic Disorders by Efthalia Moustakli, Panagiotis Christopoulos, Anastasios Potiris, Athanasios Zikopoulos, Despoina Mavrogianni, Grigorios Karampas, Nikolaos Kathopoulis, Ismini Anagnostaki, Ekaterini Domali, Alexandros T. Tzallas, Peter Drakakis, Sofoklis Stavros

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Seedling Petri-dish inoculation method: A robust, easy-to-use and reliable assay for studying plant–Ralstonia solanacearum interactions by Peng CAO, Jia-lan CHEN, Ning-ning LI, Shuang-xi ZHANG, Rong-bo WANG, Ben-jin LI, Pei-qing LIU, Yu-yan AN, Mei-xiang ZHANG

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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

“…To address these challenges, this paper proposes a multi-module fusion prediction model—TSMixer-BiKSA network—that integrates multi-feature inputs, Variational Mode Decomposition (VMD), and a dual-branch parallel architecture for 1- to 3-day-ahead multi-step forecasting of new COVID-19 cases. …”
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Evolutionary dynamics of mitochondrial genomes and intracellular transfers among diploid and allopolyploid cotton species by Jiali Kong, Jie Wang, Liyun Nie, Luke R. Tembrock, Changsong Zou, Shenglong Kan, Xiongfeng Ma, Jonathan F. Wendel, Zhiqiang Wu

“…Abstract Background Plant mitochondrial genomes (mitogenomes) exhibit extensive structural variation yet extremely low nucleotide mutation rates, phenomena that remain only partially understood. …”
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Transformation of State Religious School Competence: An Analysis of the 1975 Joint Ministerial Decree and Its Implications in Indonesia by Ahmad Salim, Imam Suyuti, Muhammad Gafarurrozi, Laelatul Badriah, Nik Md. Saiful Azizi bin Nik Abdullah

“…Design/methods/approach – A qualitative approach with a multi-site case study design was used. …”
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Adaptability of F1 sunflower hybrids, created according to an integrated system of line selection for economically valuable traits in various agroclimatic zones by В. О. Бабич, І. Ю. Боровська, Я. Ю. Шарипіна, Я. Ф. Парій, Ю. В. Симоненко

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Bridging the AI Gap in Medical Education: A Study of Competency, Readiness, and Ethical Perspectives in Developing Nations by Mostafa Aboulnour Salem, Ossama M. Zakaria, Eman Abdulaziz Aldoughan, Zeyad Aly Khalil, Hazem Mohamed Zakaria

“…Structured surveys were used to assess AI competencies and readiness among medical educators for the sustainable integration of AI in medical education. Methods: A cross-sectional study was conducted using a 40-item survey distributed to 253 educators from the Middle East (Saudi Arabia, Egypt, Jordan) and South Asia (India, Pakistan, Philippines). …”
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Dynamic optimization of support parameters and risk prevention and control during tunneling with fractured surrounding rock: a case study of the Gande’er Mountain tunnel project by Gang Wang, Wenpeng Yuan, Feng Jiang, Yujing Jiang, Peng He

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MetaBiome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities by Javad Aminian-Dehkordi, Andrew Dickson, Amin Valiei, Mohammad R. K. Mofrad

“…Despite advances in high-throughput omics technologies, current methodologies struggle to capture the dynamic metabolic interactions and spatiotemporal variations within MMCs. In this work, we present MetaBiome, a multiscale model integrating agent-based modeling (ABM), finite volume methods, and constraint-based models to explore the metabolic interactions within these communities. …”
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Evaluation of optimal waste management in the plating industry based on the Delphi Method and Fuzzy Analytic Hierarchy Process (Case Study: Paitakht Industrial District of Tehran) by Mina Moeeni, Ghasemali Omrani, Nematollah Khorasani, Reza Arjmandi

“…In order to evaluate waste management situation in the metal plating industry, an integrated empirical model with principles and concepts of Balanced Scorecard Method was used, and factors were identified using the Delphi method. …”
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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

“…This paper proposes a novel fault diagnosis framework that integrates the Osprey–Cauchy–Sparrow Search Algorithm (OCSSA) optimized Variational Mode Decomposition (VMD) with a Bidirectional Temporal Convolutional Network-Attention mechanism (BiTCN-Attention). …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…To address the challenges posed by system noise and strong nonlinear effects in dam deformation, this paper proposes a dam deformation monitoring model based on multi-layer integrated signal processing technology.【Method】The model uses sample entropy reconstruction and the K-means clustering algorithm to optimize the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) process, generating multiple intrinsic mode functions (IMF). …”
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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework that integrates kmers, dataset selection, dimensionality reduction and classification algorithms to facilitate the heterogeneous classification of immune cells.Results and DiscussionBy comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …”
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Responses of Corn Yield, Soil Microorganisms, and Labile Organic Carbon Fractions Under Integrated Straw Return and Tillage Practices in Black Soil by Lei Feng, Yunyun Sun, Guifen Chen

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An Integrated Theoretical Model for Assessing Digital Literacy’s Impact on Academic Performance: A Case Study Using PLS-SEM by Suadad Muammar, Piyush Maheshwari, Shadi Atalla

“…As technology becomes integral to education, especially with the emergence of advanced artificial intelligence applications, students require advanced digital literacy (DL) skills to succeed both academically and professionally. …”
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Integrating sensory evaluation into biofortification breeding: assessing consumer acceptance and market segmentation of porridge made from biofortified pearl millet cultivars by Manhal Gobara Hamid, Manhal Gobara Hamid, Mohammed Elsafy, Tilal Abdelhalim

“…Principal component analysis (PCA) explained 71.47% of total variation in consumer preference, while PLSR identified taste, firmness, aroma, and texture as key drivers of acceptance. …”
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Dynamic Simulation of Ground Braking Force Control Based on Fuzzy Adaptive PID for Integrated ABS-RBS System with Slip Ratio Consideration by Pinjia Shi, Yongjun Min, Hui Wang, Liya Lv

“…The proposed control strategy achieves remarkable precision improvements, reducing integral time absolute error (<i>ITAE</i>) by 8.3–52.8% compared to conventional methods. …”
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Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia by Fangmin Zhong, Fangyi Yao, Zihao Wang, Jing Liu, Bo Huang, Xiaozhong Wang

“…The formation of NETs is impaired in acute myeloid leukemia (AML), which can result in immunodeficiency and increased susceptibility to infection.MethodsThe gene set variation analysis (GSVA) algorithm was employed for the calculation of NET score, while the consensus clustering algorithm was utilized to identify molecular subtypes. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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