International Standard Problems and Small Break Loss-of-Coolant Accident (SBLOCA) by N. Aksan

“…Evaluation of the capabilities and the performance of these codes can be accomplished by comparing the code predictions with measured experimental data obtained on different test facilities. …”
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Genome-Wide Analysis and Expression Profiling of Watermelon <i>VQ</i> Motif-Containing Genes Under Abiotic and Biotic Stresses by Yanjun He, Jia Shen, Xinyang Xu, Weisong Shou

“…Green fluorescent protein fusion proteins for ten selected ClVQs were localized in the nucleus, but three ClVQs also showed signals in cell membranes and the cell wall, thus confirming their predicted divergent functionality. Quantitative real-time PCR (qRT-PCR) analysis indicated that the majority of <i>ClVQ</i> genes were specifically or preferentially expressed in certain tissues or organs, especially in the male flower. …”
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Adverse Perinatal and Maternal Outcomes and Associated Factors among Women with Antepartum Hemorrhage in Jimma University Medical Center, Southwest Ethiopia, 2020 by Melkamu Gelan, Tariku Bekela, Kebanesa Angasu, Mosisa Ebisa

“…Vital sign derangement, vaginal bleeding for ≥12 hrs, gestation age before 37 weeks, rural address, prim parity, amount of vaginal bleeding, and prematurity baby has predicted high rate of adverse perinatal and maternal outcomes. …”
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Lithuanian Conceptual Colour–Emotion Associations in the Global Context of 37 Nations by Domicelė Jonauskaitė

“…Crucially, such similarities could be predicted by linguistic but not geographic distances. …”
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A Weighted Statistical Network Modeling Approach to Product Competition Analysis by Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor, Wei Chen

“…Our findings suggest that the weighted network model outperforms commonly used binary network baselines in predicting product competition as well as market share. …”
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Chemical Constituents from Uapaca guineensis (Phyllanthaceae), and the Computational Validation of Their Antileishmanial and Anti-inflammatory Potencies by Gervais Mouthé Happi, Mireille Towa Yimtchui, Sikiru Akinyeye Ahmed, Shina Salau, Liliane Clotilde Dzouemo, Klev Gaïtan Sikam, Jean Duplex Wansi

“…Moreover, the compounds would not cause addiction when used as lead molecules whereas, aspirin is predicted to violate the BBB over a long term of usage as a drug. …”
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Hypolipidemic Effect of Chloroform Extract of Lagenaria siceraria: Potential Inhibitory Activity of Phytochemicals Targeting the HMG-CoA Reductase Revealed by Molecular Docking and... by Qudsia Kanwal, Mahmood Ahmed, Atiq Ur-Rehman, Aneela Anwar, Samiah Shahid, Atif Shahzad, Attaullah Shah Bukhari, Muhammad Ahmad, Numan Yousaf, Muhammad Muddassar

“…Furthermore, binding affinity and plausible binding mode of stigmastan-3-ol with HMG-CoA reductase were predicted by molecular docking studies which showed the same interaction patterns as atorvastatin. …”
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Identification of Senescence-Associated Biomarkers in Diabetic Glomerulopathy Using Integrated Bioinformatics Analysis by Li Zhang, Zhaoxiang Wang, Fengyan Tang, Menghuan Wu, Ying Pan, Song Bai, Bing Lu, Shao Zhong, Ying Xie

“…Finally, almost all these genes could well predict the occurrence of diabetic glomerulopathy based on receiver operating characteristic analysis and are associated with the glomerular filtration rate. …”
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The prevalence and immune response to coinfection by avian haemosporidians in wild Eurasian blackbirds Turdus merula by Ellie Lebeau, Jenny C. Dunn

“…Host immune responses to coinfection can contribute to infection costs but are often harder to predict than those associated with single infection, due to the influence of within-host parasite–parasite interactions on infection virulence. …”
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The Role of Gut Microbiota in Tumor Immunotherapy by Miao Wu, Jiawei Bai, Chengtai Ma, Jie Wei, Xianjin Du

“…These characteristics may be used as biomarkers to predict the prognosis of immunotherapy and may also be developed as “immune potentiators” to assist immunotherapy. …”
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Evaluating the adoption of agile project management practices in Chinese technology companies: Risk management implications by Lei Cheng

“…The strongest factor predicting risk mitigation practices in relation to individual characteristics was environmental factors, that were followed by organizational and cultural factors. …”
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Beyond minutiae: inferring missing details from global structure in fingerprints by Rachel A. Searston, Matthew B. Thompson, Samuel G. Robson, Jason M. Tangen

“…Consistent with our predictions, we found that while both experts and novices performed above chance, experts consistently outperformed novices. …”
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Human SLC26A1 Gene Variants: A Pilot Study by Paul A. Dawson, Pearl Sim, David W. Mudge, David Cowley

“…The M132 amino acid in human SAT1 is conserved with 15 other species and is located within the third transmembrane domain of the predicted SAT1 protein structure, suggesting that this amino acid may be important for SAT1 function. …”
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Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

“…This feature is assigned to multiscale features to enhance their integrity, leading to accurate predictions facilitated by an adaptive large kernel module. …”
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Preserving History: Assessments and Climate Adaptations at the House of the Seven Gables in Salem, Massachusetts, USA by Paul Wright, Susan Baker, Stephen S. Young

“…This article goes beyond other research that suggests coastal retreats by demonstrating how to quantitatively evaluate current and future coastal issues with predictive models and how to set viable dates for adaptive solutions and a managed retreat.…”
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Analytical forecasting of the optimal trajectory of mobile robot by A. A. Lobaty, D. V. Kapskiy, A. K. Ibrahim, I. A. Shishkovets

“…As components of the functional, the parameters of the deviation of the trajectory of the mobile robot from the given points in space are considered, as well as the predicted parameters of the velocity vector and the controlling normal acceleration of the mobile robot mass center. …”
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Overweight and Obesity, Body Fat, Waist Circumference, and Anemia in Peruvian University Students: A Cross-Sectional Study by Ruth B. Quiliche Castañeda, Josué Turpo-Chaparro, Jesús Hanco Torres, Jacksaint Saintila, Percy G. Ruiz Mamani

“…Being older than 27 years (ORB = 2.07; 95% CI = 1.19–3.6), being male (ORB = 2.68; 95% CI = 2.02–3.55), studying at the engineering faculty (ORB = 1.39; 95% CI = 1.09–1.79), having excess body fat (ORB = 8.17; 95% CI = 6.13–10.87), and having an elevated WC (ORB = 35.51; 95% CI = 25.06–50.33) significantly predicted overweight/obesity. The findings of this study suggest that college students, especially males and those who are not enrolled in health sciences colleges, should be a priority in healthy lifestyle interventions, particularly nutritional education programs, to reduce the prevalence of overweight and obesity.…”
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Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China by Jun Wang, Qian He, Ping Zhou, Qinghua Gong

“…By combining the RUSLE and geographic information system (GIS) data, we first produced a map of soil erosion risk at 30 m-resolution pixel level with predicted factors. We then used consecutive Landsat 8 satellite images to obtain the spatial distribution of four types of soil erosion and carried out ground truth checking of the RUSLE. …”
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An overlapping sliding window and combined features based emotion recognition system for EEG signals by Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey

“…The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features. …”
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Classification of State Regulation Principles in the Field of Air Transport by O. V. Brusakova

“…It has been offered to include the rule of law, legality, economic validity (feasibility), adequacy, efficiency, balance of state influence (combination of legal and economic means of regulatory influence), predictability and transparency into the general principles of state regulation in the field of air transport. …”
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