Visual and High-Efficiency Secretion of SARS-CoV-2 Nanobodies with <i>Escherichia coli</i> by Shuai Zhao, Wanting Zeng, Fang Yu, Pingping Xu, Chin-Yu Chen, Wanping Chen, Yanming Dong, Fei Wang, Lixin Ma

“…Notably, Fu2-sfGFP-ANTE can be normally secreted into the culture medium and outer membrane. …”
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Dynamic System Simulation to Improve the Effectiveness and Efficiency of Supply Chain Performance and Behaviour on Waste Bank Resik Becik by Ratih Setyaningrum, Vida Auralita, Dwi Izzhati, Pramudi Arsiwi, Tita Thalitha

“…The addition of this method is the AHP (Analytical Hierarchy Process) method as a determinant of the performance matrix weight and the normalization process. This allows the final value to be accurately determined. …”
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An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions by Injila Sajid, Adil Sarwar, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Adamali Shah Noor Mohamed, Md. Rasidul Islam

“…As a result, maximum power point tracking (MPPT) to deliver maximum power at the load becomes a limitation for conventional optimization algorithms as they are normally based on hill climbing algorithm and get stuck at local maxima of the P‐V curve. …”
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Lactate/albumin ratio as a prognostic biomarker for in-hospital mortality in pediatric patients with necrotizing enterocolitis by Ban Li, Yuanzhi Chen, Zhen Yang, Xianglun Sun, Cheng Tian, Jingsi Liu, Lihua Yuan, Kanglin Dai

“…Significant differences in creatinine, international normalized ratio (INR) and L/A were observed between the groups (p < 0.05). …”
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Combination of an E-Nose and an E-Tongue for Adulteration Detection of Minced Mutton Mixed with Pork by Xiaojing Tian, Jun Wang, Zhongren Ma, Mingsheng Li, Zhenbo Wei

“…An E-panel, comprising an electronic nose (E-nose) and an electronic tongue (E-tongue), was used to distinguish the organoleptic characteristics of minced mutton adulterated with different proportions of pork. Meanwhile, the normalization, stepwise linear discriminant analysis (step-LDA), and principle component analysis were employed to merge the data matrix of E-nose and E-tongue. …”
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Grazing regime rather than grazing intensity affect the foraging behavior of cattle by You Wang, Rui Yu, Xin Li, Ronghao Chen, Jiahui Liu

“…The main findings were: (1) the XGBoost classification model has outperformed the others models, with an average accuracy of 0.947; (2) grazing intensity only significantly affected standing behaviors, while grazing regime significantly influenced foraging, walking, standing, ruminating, and resting behaviors; (3) increased grazing intensity had led to a larger proportion of areas with declining normalized difference vegetation index (NDVI) in the study area; however, the proportion of areas with increased NDVI was consistently higher in rotationally grazed regions compared to that of continuously grazed areas; (4) The changes in NDVI were significantly positively correlated with foraging probability in continuously grazed plots; however, NDVI changes in lightly grazed rotational areas had a weak correlation with foraging probability. …”
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Exploring the Decision-making Process of Medical Students’ on Choosing Radiology as a Specialty in Northern Saudi Arabia: A Cross-sectional Study by Pakeeza Shafiq

“…All data were entered into the Statistical Package for the Social Sciences (SPSS) Software version 22.0 for analysis. The normality of the data was checked using the Shapiro-Wilk test. …”
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Shifting vegetation phenology in protected areas: A response to climate change by Irina Ontel, Sorin Avram, Carmen Adriana Gheorghe, Mihaita Iulian Niculae, Ionuț Silviu Pascu, Steliana Rodino

“…Using high-resolution remote-sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS) from Terra satellite (normalized difference vegetation index (NDVI) and leaf area index (LAI)) combined with climate data from ERA5-Land Climate Reanalysis (2001−2020), this study provides a robust assessment of long-term vegetation trends. …”
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Feedback loop centered on MAF1 reduces blood–brain barrier damage in sepsis-associated encephalopathy by Xuebiao Wei, Wenqiang Jiang, Zhonghua Wang, Yichen Li, Yuanwen Jing, Yongli Han, Linqiang Huang, Shenglong Chen

“…Interference with forkhead box O1 (FOXO1) inhibited MAF1 expression and activated the RIG-I/IRF3 signaling pathway, while MAF1 overexpression promoted PTEN expression, decreased cell apoptosis, and normalized autophagy. Conclusions These findings demonstrate that CUL2 promoted MAF1 ubiquitination and caused BBB injury in SAE. …”
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Petrophysical Properties and Microstructural Analysis of Faulted Heterolithic Packages: A Case Study from Miocene Turbidite Successions, Italy by Hannah Riegel, Miller Zambrano, Fabrizio Balsamo, Luca Mattioni, Emanuele Tondi

“…., fault core, damage zone). The fault core, normally composed by fault rock or smeared clay material, commonly acts as a flow inhibitor across the fault. …”
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Acute oral toxicity study of novel polyherbal formulations by using wistar rats and Swiss albino mice as per OECD 425 TG by Ramkishan Jatoth, S.P Dhanabal, V. Senthil, T. Ganesh, Jubie Selvaraj, P.S. Venkatesan

“…., the study aims to estimate acute toxicity tests of the “Hydaljss08, and Immunoboost Tab” dosage forms in rats and mice to assess the safety profile. Mice and rats are normally used in safety studies because of their susceptibility to toxic challenges, tumor induction, and carcinogenicity. …”
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Use of a specialized peptide-based enteral formula containing medium-chain triglycerides for enteral tube feeding in children with cerebral palsy and previous tube feeding intolera... by Aydan Kansu, Gunsel Kutluk, Gonul Caltepe, Cigdem Arikan, Nafiye Urganci, Gokhan Tumgor, Aysel Yuce, Ceyda Tuna Kirsaclioglu, Arzu Meltem Demir, Fatma Demirbas, Merve Usta, Sibel Yavuz, Duygu Demirtas Guner, Ersin Gumus, Buket Dalgic, Yasar Dogan, Nelgin Gerenli, Halil Kocamaz, Fulya Gulerman, Elif Sag, Aysugul Alptekin Sarioglu, Neslihan Eksi Bozbulut, Demet Teker Duztas, Hatice Altug Demirol, Coskun Celtik, Olcay Gungor, Kaan Demiroren, Aysen Uncuoglu Aydogan, Ozlem Bekem, Zeynep Arslan, Murat Cakir, Arzu Ekici, Nihal Uyar Aksu, Cigdem Ecevit, Simge Erdogan

“…Majority of parents were satisfied with the study formula.ConclusionOur findings revealed favorable efficacy and safety of using a specialized peptide-based formula containing MCT in provision of enteral tube feeding among children with CP in terms of improved anthropometrics, amelioration of gastrointestinal intolerance symptoms and normalization of bowel movements along with a high parental satisfaction.…”
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La hiperreactividad cardiovascular: un nuevo factor asociado al síndrome metabólico by Mikhail Benet Rodríguez, René Mick Cabrera Núñez, Yudeny Coll Cañizares, Yosvel Curbelo Pérez, Milagros Lisset León Regal, Emiliano Diez Martínez de la Cotera, Alain Francisco Morejón Giraldoni

“…<br /><strong>Resultados</strong>: el 27,55 % eran hiperreactivos cardiovasculares; el 30,6 % de las personas tenían hipertensión arterial; el riesgo de hiperreactividad entre los sobrepesos fue de 3,75 (1,8;7,7), y entre los que tenían triglicéridos por encima de los valores normales de 1,9 (1,1;3,2); el 22 % de los hiperreactivos cardiovasculares presentó síndrome metabólico. …”
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Legal Status of the Accounting Chamber of Ukraine: Current State and Perspectives of Development by L. V. Borets, Ya. O. Arbych

“…The authors have emphasized on the improvement of normative and legal regulation of the special procedure for bringing guilty persons to administrative liability by authorized persons of the Accounting Chamber for violation of the law. …”
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Life cycle assessment of electronic, electric and nonelectric detonators; a site-specific case for Czech Republic by Hana Brunhoferová, Tatiana Trecáková, Vladimír Kočí

“…Results indicate that the electronic detonator, which excels in e.g. high variability detonation timing without losing the timing precision, exhibits the highest environmental impacts, especially concerning Freshwater Ecotoxicity, Global Warming Potential and Abiotic Fossil Depletion (e.g. 1,73E-05, 1,20E-05 and 2,12E-06 (normalized and weighted), respectively, for modules A1-A3). …”
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Novel immunochromatographic test for rapid detection of anti-factor H autoantibodies with an assessment of its clinical relevance by Santiago Rodríguez de Córdoba, Andrea Reparaz, Daniel Sanchez, Sheila Pinto, Lucia Juana Lopez, Héctor Martin Merinero, Iria Calvete, Julian Perez-Perez, Sydney S. Jellison, Yuzhou Zhang, Richard J. H. Smith, Inmaculada Moreno, Mercedes Dominguez

“…Current FHAA analysis normally identify free FHAAs that bind surface-bound FH using ELISA techniques. …”
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Location-specific heterogeneity in landslide resilience index: A household-based comparative study in Rangamati Hill District, Bangladesh by Raihan Riaz, Neegar Sultana, Raihan Riaz

“…To construct and map the LRIH, composite scores of four dimension-based index were normalized using min–max techniques, and rescaled into 0 and 1. …”
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Effects of Polymorphisms in Myc-Related Genes on Bleeding Complications in Patients with Stable Warfarin Responses by Jeong Yee, Woorim Kim, Byung Chul Chang, Jee Eun Chung, Kyung Eun Lee, Hye Sun Gwak

“…This study aimed to identify the possible effects of Myc and 8q24 polymorphisms on bleeding complications in patients who maintained international normalized ratio (INR) of 2.0-3.0 with warfarin therapy after cardiac valve replacement. …”
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Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains by Rong Wang, Xia Wei, Hongpan Wang, Linshu Zhao, Cengli Zeng, Bingrui Wang, Wenying Zhang, Luxiang Liu, Yanhao Xu

“…In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (Rc2 = 0.672; Rp2 = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). …”
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Understanding Factors Contributing to Nurses’ Intention to Care for COVID-19 Patients Using the Theory of Planned Behavior by Khalid A. Aljohani, Mohammad S. Aljohani, Maria Jocelyn B. Natividad, Paul Reinald B. Gracia, Ibtehal I. Qazanli

“…Examining the model fits through multiple regression revealed that the combination of six subscales – “attitude, subjective norms, perceived behavioral control, behavioral beliefs, normative beliefs, and control beliefs” – accounted for a significant (89%) variability of intention to care, R2 = 0.892, adjusted R2 = 0.793, F (6-329) = 201, p ≤ 0.000. …”
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