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The current paradigm of personalized medicine envisages the use of genomic data to provide predictive information on the health course of an individual with the aim of prevention and individualized care. However, substantial efforts are required to realize the concept enhanced genetic discoveries, translation into intervention strategies, and a systematic implementation in healthcare. Here we review how further genetic discoveries are improving personalized prediction and advance functional insights into the link between genetics and disease. In the second part we give our perspective on the way these advances in genomic research will transform the future of personalized prevention and medicine using Estonia as a primer.As Nickel (Ni) is the base of important Ni-based superalloys for high-temperature applications, it is important to determine the creep behavior of its nano-polycrystals. The nano-tensile properties and creep behavior of nickel polycrystalline nanopillars are investigated employing molecular dynamics simulations under different temperatures, stresses, and grain sizes. The mechanisms behind the creep behavior are analyzed in detail by calculating the stress exponents, grain boundary exponents, and activation energies. The novel results in this work are summarized in a deformation mechanism map and are in good agreement with Ashby's experimental results for pure Ni. Through the deformation diagram, dislocation creep dominates the creep process when applying a high stress, while grain boundary sliding prevails at lower stress levels. These two mechanisms could also be coupled together for a low-stress but a high-temperature creep simulation. In this work, the dislocation creep is clearly observed and discussed in detail. Through analyzing the activation energies, vacancy diffusion begins to play an important role in enhancing the grain boundary creep in the creep process when the temperature is above 1000 K.At the beginning of the COVID-19 outbreak, preventive measures seemed the most appropriate method to control its spread. We assessed the knowledge, attitudes, and practices of the Ivorian public regarding preventive measures, conducting a hybrid survey across the country. selleck chemicals llc Participants were invited to complete a questionnaire online, by phone, or face-to-face. Chi-squared, Fisher's exact, and Kruskal-Wallis tests were used to compare the frequency of responses regarding compliance with preventive measures. Data were validated for 564 individuals. Over one-third of respondents believed that COVID-19 was related to non-natural causes. Though the disease was perceived as severe, respondents did not consider it to be highly infectious. Overall, 35.6% of respondents fully trust health officials in the management of the pandemic, and 34.6% trusted them moderately. Individuals who believed COVID-19 was a disease caused by a pathogen and the well-educated were likely to comply with preventive measures. About 70% of respondents stated that their daily expenses had increased due to preventive measures. The study concludes that beyond unfavorable socioeconomic conditions, the level of knowledge regarding COVID-19 and trust in the government/health system are more likely to influence compliance with preventive measures such as self-reporting, physical distancing, the use of face masks, and eventually the acceptability of vaccines.Choline is essential for maintaining the structure and function of cells in humans. Choline plays an important role in eye health and disease. It is a precursor of acetylcholine, a neurotransmitter of the parasympathetic nervous system, and it is involved in the production and secretion of tears by the lacrimal glands. It also contributes to the stability of the cells and tears on the ocular surface and is involved in retinal development and differentiation. Choline deficiency is associated with retinal hemorrhage, glaucoma, and dry eye syndrome. Choline supplementation may be effective for treating these diseases.Background This study aims to investigate the mental health of COVID-19 patients in Saudi Arabia. Method A cross-sectional study was carried out targeting confirmed cases of COVID-19 in Saudi Arabia. Due to travel and time constraints as well as the accessibility of patients, cases were included from East Jeddah Hospital, King Abdulaziz Hospital, and the Oncology Center in Jeddah. The data were collected using a predesigned self-administered questionnaire. The questionnaire addressed COVID-19 cases, personal data, medical history, smoking, traveling abroad, and work-related conditions. Additionally, data regarding contact level with COVID-19 cases were considered. The mental health statuses of the patients were assessed using a validated Arabic version of the Hospital Anxiety and Depression (HAD) scale. The study included 261 COVID-19 patients whose ages ranged from 18 to 65 years. Results The survey findings revealed that 13% of COVID-19 patients had a borderline level of anxiety, 26.8% were considered anxiety cases, while 60.2% were normal. The findings also revealed that 29.9% had a borderline level of depression, 18.4% were considered depression cases, while 51.7% were normal. Conclusions This study concluded that COVID-19 patients experience anxiety and depression, and as the COVID-19 epidemic continues to spread, the results of the study are particularly useful in developing a strategy to psychologically support COVID-19 patients.Given the significant impact of mosquito-borne flaviviruses (MBFVs) on both human and animal health, predicting their dynamics and understanding their transmission cycle is of the utmost importance. Usually, predictions about the distribution of priority pathogens, such as Dengue, Yellow fever, West Nile Virus and St. Louis encephalitis, relate abiotic elements to simple biotic components, such as a single causal agent. Furthermore, focusing on single pathogens neglects the possibility of interactions and the existence of common elements in the transmission cycles of multiple pathogens. A necessary, but not sufficient, condition that a mosquito be a vector of a MBFV is that it co-occurs with hosts of the pathogen. We therefore use a recently developed modeling framework, based on co-occurrence data, to infer potential biotic interactions between those mosquito and mammal species which have previously been identified as vectors or confirmed positives of at least one of the considered MBFVs. We thus create models for predicting the relative importance of mosquito species as potential vectors for each pathogen, and also for all pathogens together, using the known vectors to validate the models.