• Husted Sosa posted an update 6 months, 2 weeks ago

    Humidity was also significantly associated with COVID-19 incidence, though the reported results were mixed, with studies reporting positive and negative correlation. A significant interaction between humidity and temperature was also reported. Wind speed and rainfall results were not consistent across studies. Weather variables including temperature and humidity can contribute to increased transmission of COVID-19, particularly in winter conditions through increased host susceptibility and viability of the virus. While there is less indication of an association with wind speed and rainfall, these may contribute to behavioral changes that decrease exposure and risk of infection. Understanding the implications of associations with weather variables and seasonal variations for monitoring and control of future outbreaks is essential for early warning systems.(1) Background The present study is aimed to determine the predicting role of objective (lifestyle) and subjective factors of middle-aged women’s psycho-emotional health such as their relations with parents, attachment and separation types. Women who are overloaded with professional and family roles have high stress level, their indicators of psychological well-being and emotional level decrease when they have to give everyday care to their elderly parents. (2) Methods The research sample has two empirical groups. Sample of Study 1 includes middle-aged women (n = 61) aged 38-56 (M = 48.1, SD = 3.5); sample of Study 2 includes middle-aged women (n = 85) aged 33-52 (M = 40.6, SD = 3.1) married (70.5%) and divorced (29.5%), having children of 14-28 years old; giving everyday care to elderly parents for more than 1.5 yrs. Some live separately (62.3 %), or have to cohabitate with parents (37.7%). All women evaluate their life situation as difficult and manifest signs of high psycho-emotional stress. We used methodlations towards parents, attachment, guilt and separation. Types of middle-aged women’s relationships with parents contribute to their psychoemotional health in a different way.The study presents the results of qualitative research carried out within a death education project dedicated to advance treatment directives (ATDs) in which it was proposed to participants to empathize with people who had received a diagnosis of Amyotrophic Lateral Sclerosis (ALS). The study involved 104 people who discussed and reflected on issues related to the knowledge of having to die, palliative care and ATDs, investigating what choices they would have made if they had received such a diagnosis. Finally, they were asked to write a paper describing their impressions and hypothetical choices. Qualitative analysis has elucidated among fundamental themes. Four thematic areas emerged from the data analysis (1) ATDs and the family; (2) the importance of reducing pain and suffering; (3) emotions and considerations regarding death, illness and spirituality; and (4) opinions on the DeEd course. It has emerged that some people are unfamiliar with palliative care or the right to self-determination and that addressing these issues helps manage the thought of the future with less terror. Buparlisib inhibitor The experience of death education has therefore proven to be very positive in dealing with complex and often censored issues, allowing thinking about death in a less distressing way.Due to its special two-dimensional lamellar structure, graphene possesses an excellent shielding effect, hydrophobic characteristics and large specific surface area, which can effectively isolate the internal structure from the external corrosive media. However, lamellar graphene is easy to stack and agglomerate, which limits its anti-corrosion performance. In this paper, cerium oxide-graphene oxide (CeO2-GO) nanocomposites were prepared by a hydrothermal synthesis method. Field emission scanning electron microscope (FESEM) and transmission electron microscope (TEM) were applied for microstructure examination, showing that a large number of nanoscale granular cerium oxide grew on the lamellar graphene oxide surface, which improved the dispersion performance of graphene inside the matrix. The anti-corrosion properties of the coating were analyzed and illustrated by open circuit potential (OCP), frequency response analysis, Tafel curve and Mott-Schottky curve. The results indicated that the CeO2-GO (41) nanocomposite not only eliminated the agglomeration of graphene to some extent, but also prepared the graphene epoxy coating with good dispersion, which further promoted its anti-corrosion performance. The paper proposed a feasible solution for GO dispersion in cement-based materials and lays a solid theoretical foundation for the engineering application of cerium oxide-graphene oxide modified anticorrosive coating.The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R2 = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R2 (0.22 vs. 0.07) and smaller mean bias (-0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.

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