The influence of biofloc system on Vibrio composition, the growth and the gut microvilli performance of the Pacific white shrimp Penaeus vannamei by Muhamad Gustilatov, Widanarni Widanarni, Julie Ekasari, Pande Gde Sasmita Julyantoro, Diana Elizabeth Waturangi

“… Biofloc technology has been shown to have a positive impact on shrimp culture by controlling pathogenic Vibrio. …”
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Komparasi Machine Learning Berbasis Pso Untuk Prediksi Tingkat Keberhasilan Belajar Berbasis E-Learning by Elin Panca Saputra, Siti Nurajizah, Mawadatul Maulidah, Nadiyah Hidayati, Taufik Rahman

“…Abstract   The development of the field of technology has a very fast development aspect. our research has the aim of transmitting knowledge about machine learning which has become so popularly used until now, in this study how to get attribute selection features and get predictive results from learning at universities or educational institutions that apply learning by distance learning methods or e-learning. …”
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N6‐Methyladenosine Regulates Cilia Elongation in Cancer Cells by Modulating HDAC6 Expression by Yalan Rui, Haisheng Zhang, Kangning Yu, Shiyao Qiao, Chenglin Gao, Xiansong Wang, Weifeng Yang, Gholamreza Asadikaram, Zigang Li, Kun Zhang, Jianxin Peng, Jiexin Li, Junming He, Hongsheng Wang

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COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results by C. D. Tremblay, J. Sofair, L. Steffes, T. Myburgh, D. Czech, P. B. Demorest, R. A. Donnachie, A. W. Pollak, M. Ruzindana, Siemion A. P. V., S. S. Varghese, S. Z. Sheikh

“…Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system. We have built a digital signal processing system and computer cluster on the backend of the Karl G. …”
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Mapping the Distribution and Population Status of <i>Alosa immaculata</i> and <i>Alosa tanaica</i> (Teleostei, Clupeidae) in the Bulgarian Black Sea Area by Desislava Rozdina, Yana Stoyanova, Georgi Terziyski, Slavi Studenkov, Boris Karakushev, Venceslav Delov, Konstantin Mihaylov, Dimitar Kozhuharov, Yordan Kutsarov, Nikolay Kolev, Nikolay Nedyalkov, Nikolay Natchev

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Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review by Bashir MBA, Milani GP, De Cosmi V, Mazzocchi A, Zhang G, Basna R, Hedman L, Lindberg A, Ekerljung L, Axelsson M, Vanfleteren LEGW, Rönmark E, Backman H, Kankaanranta H, Nwaru BI

“…Muwada Bashir Awad Bashir,1 Gregorio Paolo Milani,2,3,&ast; Valentina De Cosmi,4,5,&ast; Alessandra Mazzocchi,3,&ast; Guoqiang Zhang,1 Rani Basna,1 Linnea Hedman,6 Anne Lindberg,7 Linda Ekerljung,1 Malin Axelsson,8 Lowie EGW Vanfleteren,9 Eva Rönmark,6 Helena Backman,6 Hannu Kankaanranta,1,10,11 Bright I Nwaru1,12 1Krefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden; 2Pediatric Unit, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy; 3Department of Clinical Science and Community Health, University of Milan, Milan, Italy; 4Department of Food Safety, Nutrition and Veterinary Public Health, Instituto Superiore Di Sanità - Italian National Institute of Health, Roma, Italy; 5Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy; 6Department of Public Health and Clinical Medicine, Section of Sustainable Health/ the OLIN Unit, Umeå University, Umeå, Sweden; 7Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; 8Department of Care Science, Faculty of Health and Society, Malmö University, Malmö, Sweden; 9COPD Center, Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden; 10Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland; 11Tampere University Respiratory Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 12Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden&ast;These authors contributed equally to this workCorrespondence: Muwada Bashir Awad Bashir, Krefting Research Centre, Institute of Medicine, University of Gothenburg, P.O. …”
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Development and Validation of a Risk Prediction Model for Ventricular Arrhythmia in Elderly Patients with Coronary Heart Disease by Ying Dong, Yajun Shi, Jinli Wang, Qing Dan, Ling Gao, Chenghui Zhao, Yang Mu, Miao Liu, Chengliang Yin, Rilige Wu, Yuqi Liu, Yang Li, Xueping Wang

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Lipozyme TLIM催化大豆磷脂乙醇解制备溶血磷脂 "Preparation of lysophospholipids through ethanolysis of soybean phospholipids catalyzed by Lipozyme TLIM" by 许晓欣，杨国龙，孟鹏程，杨瑞楠，刘伟 XU Xiaoxin, YANG Guolong, MENG Pengcheng, YANG Ruinan, LIU Wei

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Pilot study of a ketogenic diet in bipolar disorder: a process evaluation by Benjamin P. Rigby, Nicole Needham, Helen Grossi, Ivana Kamenska, Iain H. Campbell, Ben Meadowcroft, Frances Creasy, Cheryl Fisher, Pankaj Bahuguna, John Norrie, Gerard Thompson, Melissa C. Gibbs, Maja Mitchell-Grigorjeva, Ailsa McLellan, Tessa Moses, Karl Burgess, Rachel Brown, Michael J. Thrippleton, Harry Campbell, Daniel J. Smith, Sharon A. Simpson

“…Results Five themes were identified in the qualitative data: (1) ‘Encouraging entry and supporting exit’ (e.g. recognising and managing participants’ varied motives and expectations, including around weight loss and symptom alleviation); (2) ‘Challenging but potentially transformational,’ which reflects that while it can be difficult to initiate and maintain a ketogenic diet day-to-day, many participants perceived physical and psychological benefits (e.g. significant weight loss, mood stability and enhanced ability to focus); (3) ‘Intervention facilitators,’ including a range of behavioural (e.g. goal setting), social (e.g. family and dietitians) and technological (e.g. apps for monitoring) support mechanisms; (4) ‘Intervention barriers’ (e.g. dietary preferences, concerns about the diet and its impact, the testing burden and capacity of the delivery team); and (5) ‘The wider context’ (e.g. the cost of living and sociocultural expectations) was a crucial factor explaining differential experiences. …”
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Resting-state functional brain connectivity in female adolescents with first-onset anorexia nervosa by Katrien F.M. Bracké, Laura Monteiro Rente Dias, Marisha N. Meijer, Cathelijne P.M. Steegers, Laurinde F. den Heijer, Tess van der Harst, Marjolein H.G. Dremmen, Meike W. Vernooij, Gwen C. Dieleman, Tonya White

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Pengukuran Kapabilitas Tata Kelola TI Sistem Informasi Tiras dan Transaksi Bahan Ajar Universitas Terbuka Menggunakan Cobit 5 by Denisha Trihapningsari, Dewi Agushinta R., Lintang Yuniar Banowosari

“…Abstract The Open University (UT) teaching material service implements the Information System for Learning Materials and Transactions (SITTA) which in the process encountered problems related to the operation and optimization of Information Technology. Therefore, it is necessary to evaluate to determine the extent to which the system has met the needs of the IT governance organization. …”
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Effectiveness of a Novel Liposomal Methylglyoxal–Tobramycin Formulation in Reducing Biofilm Formation and Bacterial Adhesion by Wed Alluhaim, Manal M. Alkhulaifi, Raghad R. Alzahrani, Bahauddeen M. Alrfaei, Alaa Eldeen B. Yassin, Majed F. Alghoribi, Ahlam M. Alsaadi, Ahmed I. Al-Asmari, Ahmed J. Al-Fahad, Rizwan Ali, Naif M. Alhawiti, Majed A. Halwani

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Dual role of ramR mutation in enhancing immune activation and elevating eravacycline resistance in Klebsiella pneumoniae by Wei Yu, Peiyao Jia, Xiaobing Chu, Shengjie Li, Xinmiao Jia, Ying Zhu, Xiaoyu Liu, Yingchun Xu, Qiwen Yang

“…Then, the CRISPR‐Cas9 technology was employed to construct specific ramR mutations into K. pneumoniae, which were then subjected to phenotypic and functional assays in both in vitro and in vivo (mouse models, macrophage, and blood‐killing experiment) settings. ramR L58P and F165L genetic alterations disrupt the binding affinity of RamR to the ramA promoter, thereby upregulating the efflux pump expression and increasing ERV minimum inhibitory concentration values up to 64‐fold compared to the wild‐type. …”
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Relativistic Electron Acceleration and the “Ankle” Spectral Feature in Earth’s Magnetotail Reconnection by Weijie Sun, Mitsuo Oka, Marit Øieroset, Drew L. Turner, Tai Phan, Ian J. Cohen, Xiaocan Li, Jia Huang, Andy W. Smith, James A. Slavin, Gangkai Poh, Kevin J. Genestreti, Dan Gershman, Kyunghwan Dokgo, Guan Le, Rumi Nakamura, James L. Burch

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A pulsed carbon dioxide laser-induced breakdown analysis for chemical profile of tsunami-affected soil by R. Mitaphonna, N. Idris, M. Ramli, N. Ismail, K. Kurihara, K. Lahna

“…Data is stored for processing with SpectraView software and compared with the National Institute of Standards and Technology database for identification.FINDINGS: The utilization of a pulsed carbon dioxide laser for analysis revealed its superior ability to identify a wider array of elements with high intensity-to-background ratios, particularly excelling in the detection of zinc, chromium, copper, cobalt, and nickel compared to the neodymium-doped yttrium aluminum garnet laser. …”
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A pan-immune panorama of bacterial pneumonia revealed by a large-scale single-cell transcriptome atlas by Kun Xiao, Yan Cao, Zhihai Han, Yuxiang Zhang, Laurence Don Wai Luu, Liang Chen, Peng Yan, Wei Chen, Jiaxing Wang, Ying Liang, Xin Shi, Xiuli Wang, Fan Wang, Ye Hu, Zhengjun Wen, Yong Chen, Yuwei Yang, Haotian Yu, Lixin Xie, Yi Wang

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PPARα suppresses growth of hepatocellular carcinoma in a high-fat diet context by reducing neutrophil extracellular trap release by Banglun Pan, Zhu Zhang, Dongjie Ye, Xiaoxia Zhang, Yuxin Yao, Yue Luo, Haijie Hong, Xinran Cai, Yanling Chen, Nanhong Tang

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Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears by Anastasia A. Artyukh, Mikhail K. Ivanov, Mikhail K. Ivanov, Sergei E. Titov, Sergei E. Titov, Victoria V. Dzyubenko, Sergey E. Krasilnikov, Sergey E. Krasilnikov, Anastasia O. Shumeikina, Anastasia O. Shumeikina, Anastasia O. Shumeikina, Nikita A. Afanasev, Anastasia V. Malek, Sergei A. Glushkov, Eduard F. Agletdinov

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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

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Adaptive spatial-channel feature fusion and self-calibrated convolution for early maize seedlings counting in UAV images by Zhenyuan Sun, Zhenyuan Sun, Zhenyuan Sun, Zhi Yang, Zhi Yang, Yimin Ding, Yimin Ding, Boyan Sun, Boyan Sun, Saiju Li, Saiju Li, Zhen Guo, Zhen Guo, Lei Zhu, Lei Zhu

“…Unmanned Aerial Vehicle (UAV) technology offers a promising alternative; however, varying UAV altitudes can impact image quality, leading to blurred features and reduced accuracy in early maize seedling counts. …”
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