Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…To enable efficient and non-destructive prediction of this key quality parameter, this study presents a modeling framework integrating hyperspectral imaging (HSI) technology with a dual-optimization machine learning strategy. …”
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Genetic and codon usage analyses reveal the evolution of the seoul virus by Yamei Wei, Yamei Wei, Yanan Cai, Yanan Cai, Xu Han, Zhanying Han, Yanbo Zhang, Yonggang Xu, Caixiao Jiang, Qi Li, Qi Li

“…However, its molecular evolutionary dynamics and codon usage patterns remain poorly understood.MethodsThis study integrated coding sequences from GenBank and previously acquired SEOV strains to systematically analyze genetic evolution and codon usage bias.ResultsIt revealed that SEOV evolved seven clades (A-G) with distinct amino acid variation sites and geographic clustering. …”
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Purine Nucleoside Phosphorylase (PNP) as a Biomarker and Therapeutic Target in Muscle-Invasive Bladder Cancer by Yanfei Chen, Peiyi Xian, Jianming Lu, Le Zhang, Chao Cai, Weide Zhong

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Single-cell and spatial transcriptomic analysis reveals tumor cell heterogeneity and underlying molecular program in colorectal cancer by Teng Wang, Zhaoming Chen, Wang Wang, Wang Wang, Heng Wang, Shenglong Li

“…BackgroundColorectal cancer (CRC) is a highly heterogeneous tumor, with significant variation in malignant cells, posing challenges for treatment and prognosis. …”
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Agenda-setting Policy Analysis on Iranian Physical Activity Promotion Policies: An application of Kingdon’s Multiple Streams Framework by Behrouz Fathi, Rahim Khodayari-Zarnaq, Sara Pourazavi, Haidar Nadrian, Ahmad Kousha

“…Purposeful sampling with a maximum variation was used to identify the key informants. …”
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Diversity and Distribution Patterns of Amphibians in the Huangshan Mountain Region: The Roles of Climate and Human Activities by Fei Hong, Dapeng Pang, Xiaojia Lin, Weixin Huang, Jie Fang, Wenbo Li

“…In this study, we applied field survey methods, the MaxEnt model, and integrated climate and human activity data to predict potential changes in the diversity and distribution of amphibian species in Huangshan Mountain, China. …”
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Nutrigenomics and personalized diets - Tailoring nutrition for optimal health by Divya Chaudhary, Diksha Guleria, Himanshi Aggarwal, Vaibhav Mishra, Abhishek Chauhan, Laurent Dufossé, Naveen Chandra Joshi

“…In addition, systems biology tools like proteomics, transcriptomics, and metabolomics work alongside statistical methods to analyse genetic variation and gut microflora differences that influence metabolic health through food bioactives. …”
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Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

“…Spectral data within the 398~1004 nm wavelength range were analyzed to compare the predictive performance of the Least Squares Support Vector Machine (LS-SVM) models on various quality parameters, using different preprocessing methods and the selected feature wavelengths. The results indicated that the combination of Fast Detrend-Standard Normal Variate (FD-SNV) preprocessing and Competitive Adaptive Reweighted Sampling (CARS)-selected feature wavelengths yielded the best improvement in model predictive ability for forecasting key quality parameters such as firmness, soluble solids content (SSC), pH, color, and maturity degree. …”
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Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang, Hubin Yin, Tinghao Li, Junrui Chen, Weiyang He, Ke Ren, Bo Li, Xudong Liu

“…Gene Set Variation Analysis and Gene Set Enrichment Analysis unveiled SDCBP exerted cancer-promoting biological processes, such as angiogenesis, EMT, metastasis and proliferation. …”
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Anaerobic Soccer Training Model: Enhancing Soccer Players’ Performance through a Combination of Repeated Sprints and 4 vs 4 Games by I Dewa Made Aryananda Wijaya Kusuma, Nining Widyah Kusnanik, Bayu Agung Pramono, Adi Pranoto, Yanyong Phanpheng, Indra Himawan Susanto, Dewa Ayu Praba Amustikarani, Waristra Tyo Nirwansyah, Muhammad Bagus Firzam Bharlaman

“…This study aimed to evaluate the effectiveness of the training model in improving soccer players’ anaerobic abilities. Materials and methods. The research method used was the ADDIE model consisting of five integrated phases: Analysis, Design, Development, Implementation, and Evaluation. …”
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Seasonal Characteristics of Long-Range Transport and Potential Associated Sources of Particulate Matter (Pm₁₀) Pollution at the Station Elk, Poland, on 2021-2022 Data by S. Abdo, Y. Koroleva

“…The findings demonstrate that the seasonal distributions of PM10 source areas obtained using these two methods generally share similar characteristics, suggesting the credibility and accuracy of the analytical results.…”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…【Methods】The optimized VMD-GAF-MCNN method proposed in this paper integrates signal processing and deep learning techniques. …”
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Response of aboveground organs of Woody plants in the Qaidam Basin in China to aridity via functional economic spectra by Siyu Liu, Yiwen Kong, Yue Fan, Yanhong Liu

“…The trade-off between the LES and SES demonstrated the existence of an aboveground economic spectrum, providing a scientific basis for understanding the survival mode and adaptive variation pattern of desert plants.…”
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Qualitative study on the perceived enablers and barriers to interprofessional education in primary care in Singapore by Cia Sin Lee, Zhimin Poon, Jeremy Cong En He, Bandy Quiling Goh, Cindy Xin Yi Poh, Muthulakshimi Paulpandi, Ee Guan Tay, Jascha De Nooijer

“…The maximum variation purposive sampling approach was employed and a total of 20 participants were recruited, comprising of 14 healthcare professionals (HCPs), 3 educators, and 3 leaders. …”
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Multi-Modal Deep Embedded Clustering (MM-DEC): A Novel Framework for Mineral Detection Using Hyperspectral Imagery by Priyanka Nair, Devesh Kumar Srivastava, Roheet Bhatnagar

“…To this end, we propose Multi-Modal Deep Embedded Clustering (MM-DEC) approach, an innovative unsupervised learning framework that integrates Convolutional Autoencoders(CAEs), Variational Autoencoders (VAEs), and Gray Level Co-occurrence Matrix (GLCM) based texture extraction that is able to exploit the spatial, spectral, and texture features of mineral in consideration We demonstrate the MM-DEC potential to identify hematite prospects in the mineralized Kiriburu area of Jharkhand, India using EO-1 Hyperion hyperspectral data. …”
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Geoenvironmental effects on distribution characteristics of bed-perpendicular joints in sandstone-mudstone interbedded strata: a case study from the Ordos basin by Changqing Liu, Han Bao, Hengxing Lan, Yong Zhai, Changgen Yan, Xiaoguang Li

“…Methods In the sandstone-mudstone interbedded strata of the Ordos Basin, more than 3500 BPJs were surveyed from 30 exposures. …”
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

“…This paper proposes a deep learning (DL)-based channel estimation method using a convolutional long-short term memory (CNN-LSTM) model for RIS-NOMA wireless communication systems that integrate RIS and NOMA techniques. …”
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Exploring the Medicinal Potential of <i>Taraxacum Kok-Saghyz</i> (<i>TKS</i>) Using Widely Targeted Metabolomics by Michele Tan, Jeffrey Shih-Chieh Chu, Daniel Robin Swiger

“…Samples were hand-harvested and preserved on dry ice to maintain biochemical integrity. Metabolite identification and classification were performed using the MWDB and KEGG databases. …”
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Watkins wheat landraces decode nitrogen-driven biomass trade-offs: GWAS exposes root-shoot dialectics and elite landraces for resilient agriculture by Abdul Waheed, Muhammad Shahid Iqbal, Zareen Sarfraz, Junliang Hou, Yanping Wei, Bo Song, Shifeng Cheng

“…This study aimed to dissect the molecular and physiological foundations of nitrogen-driven resilience in wheat, leveraging the genetically diverse Watkins wheat landraces as a source of adaptive alleles.MethodsA total of 308 Watkins wheat landraces were phenotyped under low nitrogen (LN) and normal nitrogen (NN) conditions to assess root-shoot allocation strategies. …”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…This study proposes a Transductive Zero-Shot Learning (TZSL) model based on the Vector Quantized Variational Autoencoder (VQ-VAE) architecture, integrated with a malware knowledge graph constructed from sandbox behavioral analysis of ransomware families. …”
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