Exploring Zinc C295 as a Dual HIV-1 Integrase Inhibitor: From Strand Transfer to 3′-Processing Suppression by Sharif Karim Sayyed, Marzuqa Quraishi, D. S. Prabakaran, Balaji Chandrasekaran, Thiyagarajan Ramesh, Satish Kumar Rajasekharan, Chaitany Jayprakash Raorane, Tareeka Sonawane, Vinothkannan Ravichandran

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Integrative proteomic-transcriptomic analysis revealed the lifestyles of Lactobacillus paracasei H4-11 and Kluyveromyces marxianus L1-1 under co-cultivation conditions by Na Liu, Likang Qin, Haiying Zeng, Anyan Wen, Song Miao

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Aqueous humor metabolomic profiling identifies a distinct signature in pseudoexfoliation syndrome by Arturs Zemitis, Arturs Zemitis, Juris Vanags, Juris Vanags, Theresa Schiemer, Theresa Schiemer, Kristaps Klavins, Kristaps Klavins, Guna Laganovska, Guna Laganovska

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Genes involved in DMSO-mediated yield increase of entomopathogenic nematodes by Xingxin Liu, Zhongchen Rao, Richou Han, Linhong Jin, Li Cao

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High-throughput phenotyping of wheat root angle and coleoptile length at different temperatures using 3D-printed equipment by Nevzat Aydin, Mesut Ersin Sönmez, Tuğba Güleç, Bedrettin Demir, Hadi Alipour, Aras Türkoğlu

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Automated cell annotation in multi-cell images using an improved CRF_ID algorithm by Hyun Jee Lee, Jingting Liang, Shivesh Chaudhary, Sihoon Moon, Zikai Yu, Taihong Wu, He Liu, Myung-Kyu Choi, Yun Zhang, Hang Lu

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First Report on Microbial-Derived Polydeoxyribonucleotide: A Sustainable and Enhanced Alternative to Salmon-Based Polydeoxyribonucleotide by Doobyeong Chae, Sae-Woong Oh, Yoon-Seo Choi, Dae-Jung Kang, Chun-Woong Park, Jongsung Lee, Won-Sang Seo

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Development of a colloidal gold immunochromatographic assay utilizing dual-antibody sandwich method for detecting Orientia tsutsugamushi by Qingyu Lu, Shiyin Yu, Sibo Wang, Min Cao, Liuxin Li, Miao Xin, Weilong Tan, Yong Qi, Yichen Lu, Xiaohui Xiong

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The utility of split function testing in determining recovery of glomerular filtration rate after living kidney donation: a cohort study by Kirsty J. Crowe, Siobhan K. McManus, Julie A. Glen, Karen S. Stevenson, Ian M. McLaughlin, Alice Nicol, Colin C. Geddes

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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

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Corrigendum to “The Effect of Rice Bran Extract on Arterial Blood Pressure, Hepatic Steatosis, and Inflammation in Mice Fed with a High-Fat Diet” by Naphatsanan Duansak, Pritsana Piyabhan, Umarat Srisawat, Jarinyaporn Naowaboot, Nusiri Lerdvuthisopon, Geert Schmid-Schönbein

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Stem Cells: Microenvironment, Micro/Nanotechnology, and Application by Hua Liu, Zhiyong Zhang, Wei Seong Toh, Kee Woei Ng, Shilpa Sant, António Salgado

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Experiences with implementation of continuous positive airway pressure for neonates and infants in low-resource settings: A scoping review. by Sara Dada, Henry Ashworth, Alina Sobitschka, Vanitha Raguveer, Rupam Sharma, Rebecca L Hamilton, Thomas Burke

“…Barriers included unreliable electricity and lack of bioengineering support. Facilitators included training, mentorship and empowerment of healthcare providers. …”
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Construction of a rodent neural network-skeletal muscle assembloid that simulate the postnatal development of spinal cord motor neuronal network by Haiyang Yu, Shangbin Yang, Yuanfeng Chen, Chuangran Wu, Jing Xu, Yue Yang, Rongjie Wu, Yinan Guo, Zhen Chen, Ying Ding, Xiang Zeng, Ge Li, Yuanhuan Ma, Qiujian Zheng, Yuanshan Zeng, Biqin Lai

“…Our study aimed to construct rodent bioengineered spinal cord neural network-skeletal muscle (NN-SkM) assembloids to elucidate the interactions between spinal cord neural stem cells (SC-NSCs) and SkM cells and their biological effects on the development and maturation of postnatal spinal cord motor neural circuits. …”
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Assessment of Reader Technologies for Over-the-Counter Diagnostic Testing by Mia Cirrincione, Maren Downing, Kevin Leite, Samuel Dolphin, Adam Samuta, Mack Schermer, Kimberly Noble, Brian Walsh

“…<bold>Methods:</bold> As part of The National Institute of Biomedical Imaging and Bioengineering&#x0027;s Rapid Acceleration of Diagnostics (RADx) Tech program, reader manufacturers were interviewed to investigate the current state of reader technology development through several parameters identified as important industry standards. …”
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Molecular Characterization and Antibacterial Potential of Endophytic Fungal Isolates from Selected Mangroves along the Coastline of Kenya by Teresia Nyambura Wacira, Huxley Mae Makonde, Carren Moraa Bosire, Cromwell Mwiti Kibiti

“…In addition, the genes responsible for the enhanced bioactivity in these isolates can be characterized and bioengineered for pharmaceutical application.…”
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Injected Human Muscle Precursor Cells Overexpressing PGC-1α Enhance Functional Muscle Regeneration after Trauma by Deana Haralampieva, Souzan Salemi, Thomas Betzel, Ivana Dinulovic, Stefanie D. Krämer, Roger Schibli, Tullio Sulser, Christoph Handschin, Simon M. Ametamey, Daniel Eberli

“…Moreover, we aimed at establishing a feasible methodology for noninvasive PET visualization of implanted cells and their microenvironment in muscle crush injury model. PGC-1α-bioengineered muscles showed enhanced marker expression for myogenesis (α-actinin, MyHC, and Desmin), vascularization (VEGF), neuronal (ACHE), and mitochondrial (COXIV) activity. …”
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Identification of robust and abundant reference transcripts for EV mRNA cargo normalization by Antje M. Zickler, Radosław Grochowski, André Görgens, Erik Bäcklin, Maximilian Kordes, J.-Matthias Löhr, Joel Z. Nordin, Samir EL Andaloussi, Daniel W. Hagey

“…Extracellular vesicles (EVs) have been investigated intensively because of their potential as biomarkers of disease and their versatility as bioengineered therapeutic nanoparticles. EVs carry diverse biomolecular cargo, but absolute quantification has been challenging due to a lack of established molecular standards. …”
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Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

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Longitudinal Evaluation of Myocardial Fatty Acid and Glucose Metabolism in Fasted and Nonfasted Spontaneously Hypertensive Rats Using MicroPET/CT by Jennifer S. Huber PhD, Andrew M. Hernandez PhD, Mustafa Janabi PhD, James P. O’Neil PhD, Kathleen M. Brennan DVM, Stephanie T. Murphy BS, Youngho Seo PhD, Grant T. Gullberg PhD

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