].Using Gordon’s Functional Health Pattern Model, the current cross-sectional study aimed to survey physical and psychosocial responses to the coronavirus disease 2019 (COVID-19) pandemic among Chinese frontline nurses and to identify the most vulnerable groups for future reference and interventions. A self-administered online questionnaire was used to collect demographic data and stress reactions of 115 Chinese frontline nurses. The 52-item version of Gordon’s Functional Health Questionnaire was used to evaluate physical, psychological, and social effects of the COVID-19 pandemic among participants. The most prevalent problems were reported in the psychological aspect, where respondents referred to altered self-image due to constant use of masks (87.8%), excessive attention to clinical signs of COVID-19 (59.2%), depression (54%), forgetfulness (40.9%), and anxiety (39.1%). The most vulnerable nurses were those who were younger, had a chronic disease, and were divorced. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].Caring for individuals with mental illness requires a core set of skills knowledge of various disorders; therapeutic communication; collaboration with the multidisciplinary team; proficiency as an advocate whether for individuals, families, groups, or populations; and conflict management. In the current study, students completed toolkits with standardized patient experiences (SPEs) to practice core skill sets. Growth occurred in students’ therapeutic communication and their ability to care for standardized or simulated patients with complex mental health issues. Proficiency in interprofessional collaboration, advocacy, and conflict management was also noted. Providing students with opportunities to apply leadership skills to care for individuals with complex mental illness may not always be possible in “real world” settings. Use of SPEs and toolkit activities can bridge the gap between classroom/clinical and real world settings and were highly effective in helping students meet core skill sets in mental health settings. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].The current study aimed to estimate the prevalence of depression, anxiety, and suicidality and their correlated factors among high school students in Jordan. A descriptive cross-sectional correlational research design was used. Data were collected using self-reported questionnaires completed by students attending high schools in Jordan. Data show that anxiety and depression are prevalent among adolescents and are associated with higher risk of suicide and disease prevalence. Twenty-seven percent of the variance in suicidality is explained by anxiety and depression. This finding indicates that the most significant predictor of suicidality is anxiety and depression among high school students. Results show that mental health issues are a genuine general health issue among high school students. Health care professionals should routinely screen for mental health problems among young people. Mental health and well-being advancement programs should be coordinated and directed by all parties involved in youth mental health. [Journal of Psychosocial Nursing and Mental Health Services, 59(8), 43-51.].

Autophagy is acellular catabolic mechanism that helps clear damaged cellular components and is essential for normal cellular and tissue function. The sigma-1 receptor (σ-1R) is a chaperone proteininvolved insignal transduction, neurite outgrowth,andplasticity, improving memory, and neuroprotection. Recent evidence shows that σ-1R can promote autophagy.Autophagy activation by the σ-1Rs along with other neuroprotective effects makes it an interesting target for the treatment of Alzheimer’s disease. AF710B, T-817MA, and ANAVEX2-73 are some of the σ-1R agonists which have shown promising results and have entered clinical trials. These molecules have also been found to induce autophagy and show cytoprotective effects in cellular models.

This review provides insight into the current understanding of σ-1R functions related to autophagy and their role inalleviatingAD.

We propose amechanism through which the activation of σ-1R and autophagy could alter amyloid precursor protein processing to inhibit amyloid-β production by reconstituting cholesterol and gangliosides in the lipid raft to offer neuroprotectionagainstAD.FutureAD treatment could involve the combined targeting of the σ-1R and autophagy activation. We suggest that future studies investigate the link between autophagy the σ-1RandAD.

We propose a mechanism through which the activation of σ-1R and autophagy could alter amyloid precursor protein processing to inhibit amyloid-β production by reconstituting cholesterol and gangliosides in the lipid raft to offer neuroprotection against AD. Future AD treatment could involve the combined targeting of the σ-1R and autophagy activation. We suggest that future studies investigate the link between autophagy the σ-1R and AD.The global fight against mosquito-borne viral diseases has in recent years been bolstered by the introduction of the endosymbiotic bacteria Wolbachia to vector populations, which in host mosquitoes suppresses the transmissibility of several viruses. Researchers engaged on this front of the battle often need to know the Wolbachia infection status of individual mosquitoes, as the intervention progresses and the mosquitoes become established in the target population. Previously, we successfully applied attenuated total reflection Fourier transform infrared spectroscopy to the detection of Wolbachia in adult Aedes aegypti mosquitoes; here we apply the same principles to Aedes eggs, with sensitivity and selectivity > 0.95. read more Further, we successfully distinguish between infections in eggs of the wMel and wMelPop strains of Wolbachia pipientis, with a classification error of 3%. The disruption of host lipid profile by Wolbachia is found to be a key driver in spectral differences between these sample classes.In clinical and epidemiological studies using survival analysis, some explanatory variables are often missing. When this occurs, multiple imputation (MI) is frequently used in practice. In many cases, simple parametric imputation models are routinely adopted without checking the validity of the model specification. Misspecified imputation models can cause biased parameter estimates. In this study, we describe novel frequentist type MI procedures for survival analysis using proportional and additive hazards models. The procedures are based on non-parametric estimation techniques and do not require the correct specification of parametric imputation models. For continuous missing covariates, we first sample imputation values from a parametric imputation model. Then, we obtain estimates by solving the estimating equation modified by non-parametrically estimated conditional densities. For categorical missing covariates, we directly sample imputation values from a non-parametrically estimated conditional distribution and then obtain estimates by solving the corresponding estimating equation.