COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy. © 2022, The Author(s).U.S. Department of Education, ED: P031S190304; Texas A and M International University, TAMIU; National Research University Higher School of Economics, ВШЭThe COVIDiSTRESS Consortium would like to acknowledge the contributions of friends and collaborators in translating and sharing the COVIDiSTRESS survey, as well as the study participants. Data analysis was supported by Texas A&M International University (TAMIU) Research Grant, TAMIU Act on Ideas, and the TAMIU Advancing Research and Curriculum Initiative (TAMIU ARC) awarded by the US Department of Education Developing Hispanic-Serving Institutions Program (Award # P031S190304). Data collection by Dmitrii Dubrov was supported within the framework of the Basic Research Program at HSE University, RF

Komparasi Penerapan Metode Simple Additive Weighting Dengan Weighted Product Dalam Seleksi Trainer

PT Chandra Asri Petrochemical Tbk (CAP) is the largest Polypropylene producer in Indonesia and was founded in 1984. For the sustainability of the company's operations, PT CAP constantly updates, both in the field of information technology and the capabilities of human resources within the company. Improving the ability of human resources in the field of information technology and aspects of information technology training (IT Training) is important to ensure that skilled human resources are ready to answer challenges in the use of information technology. In ensuring that trainers are selected to train human resources to be reliable and competitive, appropriate and accurate decisions are needed. The Simple Additive Weighting (SAW) and Weighted Product (WP) methods are methods that can be used in the decision-making process. The comparison of the two methods can help maximize the trainer selection decision-making process. The results of the implementation of the two methods are the same ranking order, the first rank in both methods is achieved by the third alternative. The final result obtained from the ranking process using the SAW (Simple Additive Weightingmethod)obtained the largest value as the best alternative with a value of 0.85. The final result obtained from the ranking process using the WP (methodWeighted Product)obtained the largest value as the best alternative with a value of 0.2308

Estimativas de ganho genético por diferentes critérios de seleção em genótipos de alfafa

Este estudo foi desenvolvido objetivando comparar diferentes critérios de seleção, indicar o método de seleção que propicia maiores estimativas de ganho genético e identificar genótipos superiores de alfafa quanto a características produtivas, morfológicas e bromatológicas. Foram avaliadas a produção de matéria seca, altura de planta, tolerância a doenças, aceitação fenotípica pelos animais, proteína bruta, digestibilidade in vitro da matéria seca, fibra em detergente neutro e relação caule/folha de 92 acessos provenientes do INTA-Argentina, tendo como testemunha o Crioula. Os Índices de Mulamba & Mock, distância do genótipo ao ideótipo e Elston foram os mais adequados a esse tipo de estudo. Os genótipos Sequel, CUF 101, Siriver 2, Florida 77, Diamond, Sequel 2, LE N 2, Medina, Kern, Rio Grande, DK 166, DK 181, Perla SP INTA, WL 516, Rocio, LE Semit 711 e LE N 3 foram os indicados à seleção pelos maiores índices de Mulamba e Mock, distância do genótipo ao ideótipo e índice de Elston