TRENDS IN HIGHER VOCATIONAL EDUCATION: PROFESSIONALIZATION OR DEPROFESSIONALIZATION? by Yu. R. Vishnevsky, D. Yu. Narkhov, Ya. V. Didkovskaya

“…Student population is the most important social resource of development of post-industrial information society. …”
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Identification and outcomes of acute kidney disease in patients presenting in Bolivia, Brazil, South Africa, and Nepal. by Rhys D R Evans, Sanjib K Sharma, Rolando Claure-Del Granado, Brett Cullis, Emmanuel A Burdmann, Fos Franca, Junio Aguiar, Martyn Fredlund, Kelly Hendricks, Maria F Iturricha-Caceres, Mamit Rai, Bhupendra Shah, Shyam Kafle, David C Harris, Mike V Rocco

“…High rates of persistent kidney disease and mortality after discharge highlight the importance of AKD follow-up in low-resource settings.…”
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Pharmacological Mechanisms of Cryptotanshinone: Recent Advances in Cardiovascular, Cancer, and Neurological Disease Applications by Zheng Z, Ke L, Ye S, Shi P, Yao H

“…Ziyao Zheng,1 Liyuan Ke,1 Shumin Ye,1 Peiying Shi,2 Hong Yao1,3 1Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, People’s Republic of China; 2Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, People’s Republic of China; 3Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, Fujian Medical University, Fuzhou, 350122, People’s Republic of ChinaCorrespondence: Peiying Shi; Hong Yao, Email peiyshi@126.com; yauhung@126.com, hongyao@mail.fjmu.edu.cnAbstract: Cryptotanshinone (CTS) is an important active ingredient of Salvia miltiorrhiza Bge. …”
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Comparative Analysis of Microbiota in Jiani Yaks with Different Rib Structures by Yangji Cidan, Sijia Lu, Hongzhuang Wang, Jia Wang, Munwar Ali, Dalia Fouad, Farid S. Ataya, Yanbin Zhu, Wangdui Basang, Kun Li

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When, where, and how prey pair antipredator behaviors to natural and anthropogenic mortality risks by Michael E. Egan, Abigail M. Weber, Nicole Gorman, Michael W. Eichholz, Daniel Skinner, Peter E. Schlichting, Guillaume Bastille-Rousseau

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Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

“…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach by Kashif Iqbal Sahibzada, Shumaila Shahid, Mohsina Akhter, Muhammad Faisal, Reham A. Abd El Rahman, Muhammad Imran, Yangyong Lv, Dongqing Wei, Yuansen Hu

“…The aaccurate prediction of enzymes with environment detoxification functions is crucial, not only to achieve a better understanding of bioremediation strategies, but also to alleviate environmental pollution. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

“…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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Optimizing urban energy flows: Integrative vehicle-to-building strategies and renewable energy management by Jian Hern Yeoh, Kai-Yun Lo, I-Yun Lisa Hsieh

“…The optimization tasks are handled using the Sequential Least Squares Programming (SLSQP) algorithm, which is well-suited for managing quadratic objective functions, nonlinear constraints, and bounded variables. …”
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Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

“…The sample sizes may not have been sufficiently large to enable detection of significant associations.<h4>Conclusions</h4>The current evidence does not show a consistent association between low health literacy and poorer functional outcomes in patients with chronic musculoskeletal conditions. …”
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Why is Multi-Business Forestry Needed to Overcome the Low Performance of Forestry Governance and Food Security in Indonesia? by Suryanto Suryanto, Dodik Ridho Nurrochmat, Suria Darma Tarigan, Iskandar Zulkarnaen Siregar, Ishak Yassir, Mangarah Silalahi, Irdika Mansur, Rhett D. Harisson, Agus Wahyudi, Lutfy Abdulah

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Harnessing mushrooms for poultry nutrition: Boosting health, immunity, and productivity by Md Salahuddin, Venkatesh Balan, Kayla G. Stamps, Ahmed A.A. Abdel-Wareth, Maedeh Mohammadi, Woo Kyun Kim, Weihang Zhu, Jayant Lohakare

“…Importantly, mushroom stems, often discarded as waste, are gaining attention for their nutritional and functional value, making them a cost-effective and eco-friendly feed resource. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…The Morphological Spatial Pattern Analysis (MSPA) model is adopted to refine ecological source selection by incorporating landscape connectivity and spatial distribution characteristics. …”
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Epigenomic and 3D genomic mapping reveals developmental dynamics and subgenomic asymmetry of transcriptional regulatory architecture in allotetraploid cotton by Xianhui Huang, Yuejin Wang, Sainan Zhang, Liuling Pei, Jiaqi You, Yuexuan Long, Jianying Li, Xianlong Zhang, Longfu Zhu, Maojun Wang

“…Moreover, we construct a comprehensive atlas of putative functional genome elements and discover that 37 cis-regulatory elements (CREs) have selection signals acquired during domestication and improvement. …”
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Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Furthermore, an LSF-based radio unit (RU) selection algorithm is employed to activate only the contributing RUs, allowing efficient utilization of network resources. …”
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QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing by Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari

“…PSO-SMPIA and GA-SMPIA algorithms are presented for task scheduling and resource allocation with the aim of reducing makespan and total execution time, and increasing resource utilization in CC. …”
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Pyruvate formate lyase regulates fermentation metabolism and virulence of Streptococcus suis by Qingying Fan, Haikun Wang, Shuo Yuan, Yingying Quan, Rishun Li, Li Yi, Aiqing Jia, Yuxin Wang, Yang Wang

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A metabolic profiling approach to characterize and discriminate plant-based beverages and milk by Gaia Meoni, Ingrid Sousa, Leonardo Tenori, Giovanni Niero, Marta Pozza, Massimo De Marchi, Carmen L. Manuelian

“…However, research on their functional properties, metabolic profile, and discrimination potential is limited. …”
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Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

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