Brand Awareness and Competitive Advantage among Beer Products in Kabale District, South Western Uganda by Moses, Agaba, Eliab Mpora, Byamukama, Eton, Marus

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand equity and competitive advantage variables, the inferential analysis was conducted using multiple regression analysis and the t-statistic and the p-value were adopted to test the hypotheses of the study. …”
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Brand Awareness and Competitive Advantage among Beer Products in Kabale District, South Western Uganda by Moses, Agaba, Eliab Mpora, Byamukama, Eton, Marus

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand equity and competitive advantage variables, the inferential analysis was conducted using multiple regression analysis and the t-statistic and the p-value were adopted to test the hypotheses of the study. …”
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APG mergence and topological potential optimization based heuristic user association strategy by Zhirui HU, Meihua BI, Fangmin XU, Meilin HE, Changliang ZHENG

“…Methods:The network scalable degree was designed as a measure of scalability,and then a user association strategy to improve network scalable degree was studied by using optimization theory. 1) For modelling the optimization problem, firstly, the network coupling degree, representing the degree of association among nodes, was constructed to establish the mathematical relationship between the network scalable degree and AP group (APG).Thus,the problem of improving the network scalable degree was modeled as the problem of minimizing the network coupling degree.Then,a multi-objective optimization problem of minimum network coupling degree and maximum user rate was established to find the balance between network scalable degree and network service quality. 2) For solving the optimization problem,to avoid the high computational complexity,a heuristic user association strategy based on APG mergence and topological potential optimization was proposed.With the proposed algorithm,the number of APG could be reduced by APG mergence,and the number of APG that AP belongs to could be reduced by AP exiting APG. …”
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User Experience of a Semi-Immersive Musical Serious Game to Stimulate Cognitive Functions in Hospitalized Older Patients: Questionnaire Study by Laurent Samson, Lena Carcreff, Frédéric Noublanche, Sophie Noublanche, Hélène Vermersch-Leiber, Cédric Annweiler

“…UX mean scores were computed and presented graphically. Verbal feedbacks were reported to support the quantitative results. …”
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Assessment of Impact of Meteorology and Precursor in Long-term Trends of PM and Ozone in a Tropical City by Christian Mark G. Salvador, Angeles D. Alindajao, Karen B. Burdeos, Mark Anthony M. Lavapiez, Jhon Robin Yee, Angel T. Bautista, Preciosa Corazon B. Pabroa, Rey Y. Capangpangan

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Qualitative evaluation of the implementation and national roll-out of the NHS App in England by Claire Reidy, Chrysanthi Papoutsi, Sukriti KC, Bernard Gudgin, Anthony A. Laverty, Felix Greaves, John Powell

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The PROMISE-V2 PRIMARY score and SULmax [18F]PSMA-1007 PET/CT in primary staging of prostate cancer by J. Antonio Serna-Macias, M. Lourdes Garcia-Colmenero, Emilly A. Cortes-Mancera, E. David Muñoz-Carpio, Mixel Z. Baltierra-Hernandez

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Relativistic Binary Precession: Impact on Eccentric Massive Binary Black Hole Accretion and Hydrodynamics by Stanislav DeLaurentiis, Zoltán Haiman, John Ryan Westernacher-Schneider, Luke Major Krauth, Jordy Davelaar, Jonathan Zrake, Andrew MacFadyen

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Prognostic impact of depth of response and early tumour shrinkage in patients with -mutated metastatic colorectal cancer treated with targeted therapy by Guglielmo Vetere, Marco Maria Germani, Carlotta Antoniotti, Lisa Salvatore, Filippo Pietrantonio, Sara Lonardi, Maria Bensi, Filippo Ghelardi, Maria Alessandra Calegari, Rossana Intini, Alessandro Minelli, Francesco Giulio Sullo, Chiara Boccaccio, Ada Taravella, Alberto Puccini, Daniele Lavacchi, Laura Noto, Massimiliano Salati, Mario Scartozzi, Chiara Cremolini

“…Methods: Measurable disease according to Response Evaluation Criteria In Solid Tumour (RECIST) 1.1 at baseline and at least one subsequent computed tomography (CT) scan were mandatory for inclusion. …”
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Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases by S. V. Filonov, N. L. Podkolodnyy, O. A. Podkolodnaya, N. N. Tverdokhleb, P. M. Ponomarenko, D. A. Rasskazov, A. G. Bogomolov, M. P. Ponomarenko

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Design and Analysis of Floater Structures using Composite Material in 19 Seaters Aircraft by Andi Muhdiar Kadir, Arief Setyawan, Fithri Nur Purnamasari, Nurhadi Pramana, Muhammad, Ilham Akbar Adi Satriya, Riza Wirawan, Budi Sampurno

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Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

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Simulated low-dose dark-field radiography for detection of COVID-19 pneumonia. by Rafael C Schick, Henriette Bast, Manuela Frank, Theresa Urban, Thomas Koehler, Florian T Gassert, Andreas P Sauter, Bernhard Renger, Alexander A Fingerle, Alexandra Karrer, Marcus R Makowski, Daniela Pfeiffer, Franz Pfeiffer

“…<h4>Materials and methods</h4>Patients aged at least 18 years with a medically indicated chest computed tomography scan (CT scan) were screened for participation in a prospective study between October 2018 and December 2020. …”
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Assessing Health Disparities in Digital Services and Technologies During and After the COVID-19 Pandemic: A Pooled Cross-Sectional Analysis Using HINTS Data by Shih HJ, Min H, Chang J

“…We handled survey data collection biases with weighted analyses. Data was computed using survey weights for population representation. …”
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A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context by Zhong Liu, Boqiang Hu, Tao Zeng, Cuiping You, Nan Li, Yongjing Liu, Jie Zhang, Chenbing Liu, Piaopiao Jin, Xiaoxi Feng, Jun Chen, Jinyan Huang

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Angiopoietin-2 and D-dimer add prognostic information to clinical risk in pulmonary arterial hypertension by Heather L. Clark, Daniel Lachant, Allison N. Light, Deborah Haight, Samia Lopia, Nigel Mackman, R. James White

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Machine learning and molecular dynamics simulations predict potential TGR5 agonists for type 2 diabetes treatment by Ojochenemi A. Enejoh, Chinelo H. Okonkwo, Hector Nortey, Olalekan A. Kemiki, Ainembabazi Moses, Ainembabazi Moses, Florence N. Mbaoji, Abdulrazak S. Yusuf, Olaitan I. Awe

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Impact of Key DMD Parameters on Modal Analysis of High-Reynolds-Number Flow Around an Idealized Ground Vehicle by Hamed Ahani, Mesbah Uddin

“…The analysis is based on flow over an idealized road vehicle, the Ahmed body (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>e</mi><mo>=</mo><mn>7.7</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></mrow></semantics></math></inline-formula>), using computational fluid dynamics (CFD) data from improved delayed detached eddy simulation (IDDES). …”
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Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulations by Mingfeng Liu, Jiantao Wang, Junwei Hu, Peitao Liu, Haiyang Niu, Xuexi Yan, Jiangxu Li, Haile Yan, Bo Yang, Yan Sun, Chunlin Chen, Georg Kresse, Liang Zuo, Xing-Qiu Chen

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Emerging Pharmacological Interventions for Chronic Venous Insufficiency: A Comprehensive Systematic Review and Meta-Analysis of Efficacy, Safety, and Therapeutic Advances by Camila Botelho Miguel, Ranielly de Souza Andrade, Laise Mazurek, Melissa Carvalho Martins-de-Abreu, Jamil Miguel-Neto, Aurélio de Melo Barbosa, Glicélia Pereira Silva, Aristóteles Góes-Neto, Siomar de Castro Soares, Javier Emilio Lazo-Chica, Wellington Francisco Rodrigues

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