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Background Despite a global drop of under-five mortality by 59% between 1990 and 2019, it remains high in Low- and Middle- income Countries (LMICs)with a preponderance in Sub-Saharan Africa (SSA), Southern and Central Asia. Besides preterm and intrapartum complications, undernutrition contributes 45% of the deaths in these developing regions. In Africa, under-five mortality due to severe acute malnutrition (SAM) has stagnated at 10–40%, higher than WHO targets and the SDGs projections. Methods We searched MEDLINE (via PubMed), Scopus, Web of Science, Science direct, Google Scholar, Cochrane Library and Open Grey databases for literature reporting under-five mortality due to SAM in Africa from 2014 to 2024. Estimates of the primary and secondary outcomes were pooled using a random-effects meta-analysis due to the anticipated between study heterogeneity. Results Fifty-two out of 82 studies (63.4%) analyzed reported an overall under-five mortality of 11% (95%CI: 0.08–0.13). Diarrheal diseases, human immunodeficiency virus (HIV) and pneumonia were the three most frequently reported risk factors associated with mortality by 21 (40.1%), 20 (38.5%), and 14 (26.9%) studies, respectively. No significant regional variation was found. Conclusion Under-five mortality due to SAM in Africa is still high as reported in the included studies. There were no regional variations. Diarrheal diseases, HIV and pneumonia were the most frequently reported risk factors associated with under-five mortality due to SAM in Africa.

India faced the maximum number of mortalities and morbidities during the second wave of COVID-19. Healthcare workers (HCWs) worked in high-pressure and stressful environments. Therefore, this study aimed to assess the common issues, challenges, and coping strategies of HCWs, as well as the statistical association between demographical characteristics and coping strategies. A cross-sectional study was conducted with 759 HCWs, involving simple, random sampling in Rajasthan, India, between August 2022 and October 2022. Participants responded to a self-administered questionnaire that included a Brief–COPE inventory. The statistical association between commonly adopted coping strategies and demographic characteristics was tested using the chi-square test and Fisher’s exact test. A total of 669 (88%) respondents agreed that they faced issues during the COVID-19 pandemic: 721 (95%) participants experienced challenges at the personal level, 716 (94%) at the organizational level, and 557 (74%) at the societal level. Problem-focused coping strategies were frequently adopted by the participants. Gender, marital status, education, hours of work per day, and residential area were significantly associated with a problem-focused coping strategy (p < 0.05). The findings of this study reported a limited use of coping strategies by the participants during the public health crisis, despite facing issues and challenges at work. These findings highlight the need to assist HCWs in developing coping mechanisms to maintain good mental health at work.

Healthcare workers (HCWs) including doctors, nurses and allied workers struggled to cope up with the stressful situation as the COVID-19 pandemic unsettled healthcare systems, including India’s. Many factors (commonly called as stressors) acted as major sources of stress and resulted in poor mental health of HCWs. Therefore, this study predicted and explained the mediating effect of challenges on demographic characteristics and coping strategies of HCWs. Data from a cross-sectional study was collected from the district hospital of Rajasthan, India, during the period of August 2022–October 2022. HCW’s experience level, shift type and distance of greenspaces from their accommodation were significantly correlated with the challenges they faced at work, specifically societal challenges. Thus, HCWs were more inclined to adopt a meaning-focused coping strategy to retain good mental health during the pandemic. Therefore, these findings call for interventions requiring a layered response, comprising strategies and actions that are structural. At the organizational level, these actions may provide supportive workplace environments.

The aim of present study is effectiveness of happiness training by group practices on resilience of patients with Multiple Sclerosis (MS). Method of this study was quasiexperimental and population consists all of Multiple Sclerosis patients who referred to MS community in Tehran. Sample of 30 individuals (15 controls - 15 experiments) were randomly selected and after screening test and then were replaced in control-experimental groups. The research instrument was Connor-Davidson Resilience Questionnaire and Happiness training protocol. Intervention consisted of 8 sessions, each session lasting 60 minutes once a week, which was carried out after obtaining permission from Centre. The results showed that happiness Seligman program was significantly effective in six areas of resiliency on problem solving skills, social competence, and optimism in MS patients.

Background Sleep problems are one of the most common symptoms experienced by cancer patients. The causes of poor sleep quality might be due to treatment and its side effects. Thus, we conducted this systematic review and meta-analysis with the aims of investigating sleep quality during treatment in cancer patients. Methods Comprehensive search strategy was conducted in the following original databases: PubMed, Web of Science (ISI), Scopus, Embase, PsycINFO, and Ovid, from 1950 to 15th February 2021. Studies that investigated the sleep quality during treatment in cancer patients were included. Two investigators extracted all relevant data, independently. For deriving mean difference, random-effects meta-analyses were used. We assessed quality of studies by Newcastle–Ottawa Scale (NOS). Results A total of 27 studies (1884 participants) were included in the syntheses on sleep quality. The mean global Pittsburgh Sleep Quality Index ( PSQI) in cancer patients before the initiation of treatment was 7.11 (95% CI : 6.48, 7.74), during 8.31 (95% CI : 6.34, 10.27), after the treatment 7.10 (95% CI : 6.54, 7.66), and finally, the mean global PSQI in the time of follow-up was estimated 7.33 (95% CI : 6.27, 8.39); all the results were meaningful ( P  < 0.001). The mean difference showing the quality of sleep was better before the initiation of treatment compared to after the treatment. Conclusion Cancer patients who underwent cancer treatment face lots of problems and adverse effects caused by treatment. Our results revealed that cancer patients experience poor quality of sleep during the whole trajectory of cancer even after a year from the initiation of treatment. After the end of treatment, sleep quality got better compared to during the treatment and returned to before the treatment level, but it is still poor and needs more sleep-related interventions to improve.

The current study aimed to identify the association between COVID-19 vaccination and prolonged post-COVID symptoms (long-COVID) in adults who reported suffering from this condition. This was a retrospective follow-up study of adults with long-COVID syndrome. The data were collected during a phone call to the participants in January-February 2022. We inquired about their current health status and also their vaccination status if they agreed to participate. In total, 1236 people were studied; 543 individuals reported suffering from long long- COVID (43.9%). Chi square test showed that 15 out of 51 people (29.4%) with no vaccination and 528 out of 1185 participants (44.6%) who received at least one dose of any vaccine had long long- COVID symptoms (p = 0.032). In people who have already contracted COVID-19 and now suffer from long-COVID, receiving a COVID vaccination has a significant association with prolonged symptoms of long-COVID for more than one year after the initial infection. However, vaccines reduce the risk of severe COVID-19 (including reinfections) and its catastrophic consequences (e.g., death). Therefore, it is strongly recommended that all people, even those with a history of COVID-19, receive vaccines to protect themselves against this fatal viral infection.

The recent developments in hollow fiber liquid phase microextraction and dispersive liquid–liquid microextraction are reviewed. Applications of these newly emerging developments in extraction and preconcentration of a vast category of compounds including heavy metals, pesticides, pharmaceuticals and abused drugs in complex matrices (environmental and biological matrices) are reviewed and discussed. The new developments in these techniques including the use of solvents lighter than water, ionic liquids and supramolecular solvents are also considered. Applications of these new solvents reduce the use of toxic solvents and eliminate the centrifugation step, which reduces the extraction time.

Climate change's effect on sea surface temperature (SST) at the regional scale vary due to driving forces that include potential changes in ocean circulation and internal climate variability, ice cover, thermal stability, and ocean mixing layer depth. For a better understanding of future effects, it is important to analyze historical changes in SST at regional scales and test prediction techniques. In this study, the variation in SST across the Persian Gulf and Gulf of Oman (PG&GO) during the past four decades was analyzed and predicted to the end of 21st century using a proper orthogonal decomposition (POD) model. As input, daily optimum interpolation SST anomaly (DOISSTA) data, available from the National Oceanic and Atmospheric Administration of the United States, were used. Descriptive analyses and POD results demonstrated a gradually increasing trend in DOISSTA in the PG&GO over the past four decades. The spatial distribution of DOISSTA indicated: (1) that shallow parts of the Persian Gulf have experienced minimum and maximum values of DOISSTA and (2) high variability in DOISSTA in shallow parts of the Persian Gulf, including some parts of southern and northwestern coasts. Prediction of future SST using the POD model revealed the highest warming during summer in the entire PG&GO by 2100 and the lowest warming during fall and winter in the Persian Gulf and Gulf of Oman, respectively. The model indicated that monthly SST in the Persian Gulf may increase by up to 4.3 °C in August by the turn of the century. Similarly, mean annual changes in SST across the PG&GO may increase by about 2.2 °C by 2100.

Sperm separation is an essential part of in vitro fertilization (IVF) process. In conventional procedures, the semen sample is purified from immotile and round cells using centrifugation, which may damage sperm DNA. This study aimed to design a novel microchip to separate the progressively motile spermatozoa using a passive method instead of centrifugation. This microchip is a novel, non-invasive, and two-stage device for auto-selecting the sperm used for IVF. The first stage was designed based on lateral differentiation and rapid divergence to separate the pathways of sperm and round cells. The second stage separates high-quality sperm based on their inherent motion. Before experimenting with fresh human semen samples, preliminary tests were performed using standard particles. The results showed that at the optimized flow rate for separation (1.7 ml/h), the concentration of progressively motile spermatozoa at outlet was significantly increased compared with the initial sample.

Dry eye disease (DED) is a broad term that includes a diverse group of clinical disorders. Aqueous-deficient dry eye (ADDE), a subtype of DED, is characterized by decreased tear production by the lacrimal gland. It can be seen in up to one-third of individuals with DED and can be comorbid with a systemic autoimmune process or occur secondary to an environmental insult. Since ADDE can be a source of long-term suffering and severe visual impairment, early identification and adequate treatment are imperative. Multiple etiologies can underlie ADDE, and it is critical to identify the underlying cause to not only improve the ocular health but also to improve the overall quality of life and well-being of affected individuals. This review discusses the various etiologies of ADDE, highlights a pathophysiology-based approach for evaluating underlying contributors, outlines various diagnostic tests, and reviews treatment options. We present the current standards and discuss ongoing research in this field. Through this review, we propose a treatment algorithm that would be useful for an ophthalmologist in diagnosing and managing individuals with ADDE.