Physiological mechanical forces accelerate the degradation of bovine lung collagen fibers by bacterial collagenase by Yuqing Deng, Jacob Herrmann, Yu Wang, Minh Nguyen, Joseph K. Hall, Jae Hun Kim, Michael L. Smith, Kenneth R. Lutchen, Elizabeth Bartolák-Suki, Béla Suki

“…These findings shed light on the microscale changes in collagen fiber structure and mechanics under enzymatic digestion and breathing-like mechanical stresses with implications for diseases that are impacted by collagen degradation such as emphysema.…”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…Customizing prior information, enhancing Mixup data, improving LabelSmoothing to enhance generalization ability, and optimizing GIoU position loss and FocalLoss confidence loss are combined with the CBAM(Cost Benefit Analysis Method) module to improve network structure. …”
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The dynamic capabilities of county-level government in China during the outbreak of large-scale epidemics: a study based on three cases by Changwei Wei, Juan Wang, Huangyue Wu, Zuying Xu, Jiahao Zhang

“…The different abilities of county-level government play different roles in epidemic prevention and control.ConclusionCounty-level government are at the weakest stress point in the hierarchical structure of China's power system. They are at the forefront of public crisis management playing an important role, which further increase their pressure. …”
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The dynamic evolution mechanism of liquefied natural gas trade dependency networks: International implications of the Russia-Ukraine conflict by Wei Cui, Dongxue Wu, Qichao Huang, Senzhong Yang

“…It is found that driven by global events such as the COVID-19 pandemic and the Russia-Ukraine conflict, the LNG trade network exhibits a more cohesive and efficient structure. Major importing countries diversify risks and strengthen supply chain resilience by improving network density and clustering coefficient. …”
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Succession Patterns of Microbial Community and Changes in Flavor Compounds during the Production of High-Temperature Sauce-Flavor Daqu by DING Ze, CHEN Xi, LI Jinyang, NIU Jialiang, DU Binghao, LI Weiwei, LONG Yao, LANG Ying, SUN Baoguo, LI Xiuting

“…This study investigated the changes in microbial community structure and flavor substances of high-temperature Daqu before and after the turning over as the key step in the production process. …”
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Lysosomal dysfunction disrupts presynaptic maintenance and restoration of presynaptic function prevents neurodegeneration in lysosomal storage diseases by Irene Sambri, Rosa D'Alessio, Yulia Ezhova, Teresa Giuliano, Nicolina Cristina Sorrentino, Vincenzo Cacace, Maria De Risi, Mauro Cataldi, Lucio Annunziato, Elvira De Leonibus, Alessandro Fraldi

“…By studying mouse models of LSDs, we found that neurodegeneration develops progressively with profound alterations in presynaptic structure and function. In these models, impaired lysosomal activity causes massive perikaryal accumulation of insoluble α‐synuclein and increased proteasomal degradation of cysteine string protein α (CSPα). …”
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation by Sixuan Wu, Yuanbin Tang, Qihong Pan, Yaqin Zheng, Yeru Tan, Junfan Pan, Yuehua Li

“…Abstract Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure and generally poor prognosis. The aim of this study was to find diagnostic markers and therapeutic targets for LUAD by integrating differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning methods. …”
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Determinants of WhatsApp and Telegram usage for learning support in Nigerian universities: a quantitative study by Chinyere Ori Elom, Hayford Mensah Ayerakwa, Sikiru Ibrahim-Olesin, Eric Worlanyo Deffor, Chidebe Chijioke Uwaleke, Robert Ugochukwu Onyeneke

“…The constraints to students’ usage of WhatsApp and Telegram for learning support include high cost of Internet, poor connectivity and epileptic/poor power supply to charge phones, mistrust, lack of structure and coherence, and irresponsible use of social media. …”
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The Influence of Grain Size on the Abrasive Wear Resistance of Hardox 500 Steel by Martyna Zemlik, Beata Białobrzeska, Mateusz Stachowicz, Jakub Hanszke

“…One critical microstructural property contributing to their high mechanical performance is the prior austenite grain size (PAG). A finer grain structure is associated with enhanced plasticity, and plastic deformation plays a significant role in abrasive wear mechanisms. …”
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Genome-Wide Identification of the <i>GS3</i> Gene Family and the Influence of Natural Variations in <i>BnGS3-3</i> on Salt and Cold Stress Tolerance in <i>Brassica napus</i> by Ting Jin, Xiaoshuai Hao, Zhen Huang, Xingguo Zhang, Shimeng Li, Ying Yang, Weihua Long

“…In this study, we employed bioinformatics tools to systematically investigate the basic physicochemical properties, phylogenetic relationships, distribution, gene structure, cis-regulatory elements, and expansion patterns of the <i>GS3</i> gene family in <i>Brassica napus</i>. …”
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High-Performance Identification and Control of MIMO (Multiple Input—Multiple Output) Experimental Module with Fractional-Order Approach Application by Alexandre Marques de Almeida, Alisson Luan Daga, Rafael Palma Setti Penteado Lanzarini, Ervin Kaminski Lenzi, Marcelo Kaminski Lenzi

“…Without the need for explicit decouplers, the decentralized FOPI-PSO control structure demonstrated effective handling of interactions between the temperature and humidity control loops, simplifying the control design while maintaining performance. …”
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Natural Anthraquinones as Potential Akt1-Targeted Anticancer Agents by Shokoofeh Jamshidi, Fatemeh Mahfouzi, Setareh Shojaei, Amir Taherkhani

“…Methods: The crystallographic structure of Akt1 was obtained from the Protein Data Bank (PDB ID: 4GV1). …”
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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

“…We tested the proposed structure on two datasets consisting of 1,599 red wine samples and 4,898 white wine samples, each rated on a scale of 1–10. …”
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Pion pair production in e + e − annihilation at next-to-leading order matched to Parton Shower by Ettore Budassi, Carlo M. Carloni Calame, Marco Ghilardi, Andrea Gurgone, Guido Montagna, Mauro Moretti, Oreste Nicrosini, Fulvio Piccinini, Francesco P. Ucci

“…According to the recent advances in the literature, particular attention is paid to the treatment of the pion composite structure in loop diagrams beyond the commonly used factorised sQED approach, as well as to the modelling of multiple photon radiation through the Parton Shower algorithm. …”
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HPLC-Fluorescent Analysis of Memantine: An Investigation on Fluorescent Derivative Formation by Pornpan Prapatpong, Thanayu Techa-In, Wantaporn Padungpuak, Sawanya Buranaphalin, Leena Suntornsuk

“…The derivatization was achieved at 5 : 1 of DBD-COCl and memantine, at 60°C for 50 min. Structure elucidation from mass spectrometry and infrared spectroscopy spectra confirmed the amide bond of memantine-DBD-COCl. …”
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A systematic review of machine learning and deep learning approaches in plant species detection by Deepti Barhate, Sunil Pathak, Bhupesh Kumar Singh, Amit Jain, Ashutosh Kumar Dubey

“…Many researchers have expressed their interest in developing automated plant species recognition techniques by analyzing various issues, such as expertise, complex venation structure, interclass and intraclass similarity, occluded leaves, problems with feature extraction of premature and dried leaves, etc. …”
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Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery by Miguel Luis Rivera Lagahit, Xin Liu, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim, Masashi Matsuoka

“…Examining common image segmentation workflows and the structure of U-Net, a CNN, reveals a source of performance loss in the succession of resizing operations, which further diminishes the already poorly represented features. …”
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Topical Issues of Drug Safety, Possibilities of Improving of Pharmacovigilance by M. V. Zhuravleva, B. K. Romanov, G. I. Gorodetskaya, O. V. Muslimova, V. S. Krysanova, E. Yu. Demchenkova

“…The analysis of pharmacovigilance structure in the Russian Federation is carried  out, its main problems are designated. …”
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Elemental Abundances at Coronal Hole Boundaries as a Means to Investigate Interchange Reconnection and the Solar Wind by Alexandros Koukras, Daniel W. Savin, Michael Hahn

“…To account for the temperature structure of the observed region, we computed the differential emission measure (DEM). …”
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Calculation of borehole transient electromagnetic apparent resistivity and dip in anisotropic medium by ZHAO Ning, ZHANG Zhaoaoji, JIANG Liming, XIAO Zhanshan, HU Haitao

“…For anisotropic models with transversely isotropic media with a vertical symmetry axis （VTI）， the apparent resistivity and apparent dip angle similarly can better reflect the horizontal and vertical resistivity and dip angle of the anisotropic formations.ConclusionsThe results enable rapid calculation of apparent resistivity and apparent dip angle in anisotropic formations， facilitating quick analysis of the electrical structure near the observation device and significantly contributing to the rapid development of borehole transient electromagnetics in anisotropic media.…”
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