Healthy eating encouragement and socio-demographic factors associated with cognitive development among pre-schoolers: a cross-sectional evaluation in Nepal.

BACKGROUND: Cognitive development in pre-schoolers through healthy eating and socio-demographic support is crucial for their later lives. We investigated healthy eating encouragement, socio-demographic factors and their association with cognitive development in pre-schoolers. METHODS: Quantitative data were collected using a multi-stage random sampling between February and April 2021. Pre-schoolers 36 and 71 months and their primary caregivers were recruited from three local government units of Rupandehi district. We compared healthy eating encouragement, socioeconomic and demographic factors with cognitive development using t-test, one-way analysis of variance and multiple linear regression analysis to identify the predictors of the cognitive development among pre-schoolers. RESULTS: Cognitive development in pre-schoolers is significantly positively associated with age 36-48 months (ß = 0.153; 95% CI: 0.12, 13.96), living in a nuclear family (ß = 0.121; 95% CI: 0.59, 6.88) and following Buddhism (ß = 0.148; 95% CI: 0.88, 14.32). Conversely, children from specific caste/ethnic backgrounds, such as Dalit (ß = -0.126; 95% CI: -10.79, -0.68), Janajati (ß = -0.237; 95% CI: -6.14, -2.09) and non-Dalit Tarai caste or ethnicity (ß = -0.133; 95% CI: -3.46, -0.25) and mothers employed (ß = -0.134; 95% CI: -10.62, -1.44) show significantly lower levels of cognitive development. CONCLUSIONS: The finding shows that socioeconomic factors have an influence on cognitive development and also stimulate the adoption of healthy eating encouragement practices.

Higher intake of ß-glucan impairs reproduction in a female teleost, Tor putitora (Hamilton, 1822).

Although the immuno-modulatory and stress-relieving properties of ß-glucan is well elucidated in humans and other animal models, including fish, its role as a dietary supplement on reproduction is extremely scarce. Therefore, in this study, adult female fish were fed one of four test diets having 0 (control), 0.5, 1, and 1.5% ß-D-glucan for 130 days and its effect on reproductive performance, ovarian and liver histology, sex hormones, and transcript abundance of selected reproduction-related genes was assessed. Low dietary intake of ß-glucan improved fertilization and hatching rates (p<0.05). The relative fecundity and percentage of spawning females were higher (non-significant) in 0.5% ß-glucan-fed groups. Surprisingly, even after 130 days, spawning did not occur in 1.5% ß-glucan-fed individuals. Irrespective of ß-glucan intake, all the brooders recorded similar plasma 17ß-estradiol and maturation-inducing hormone (p>0.05). Higher intake of ß-glucan (1.5%) upregulated aromatase genes without a parallel increase in 17ß-estradiol. However, plasma vitellogenin increased with increasing ß-glucan up to 1.0% then declined at 1.5% (p<0.05). The fish that received control, 0.5, and 1.5% ß-glucan recorded similar vitellogenin levels in their plasma. Significantly higher plasma cortisol was evidenced in 1.5% ß-glucan fed brooders (p<0.05). Histologically, higher follicular atresia and leaking of yolk material was evidenced in 1.5% ß-glucan-fed group. Liver histology revealed the highest nutrient/lipid accumulation in fish that received 1.0% and 1.5% ß-glucan. This study demonstrated the stimulatory effect of ß-glucan intake at a lower dose (0.5%) on reproduction. However, higher intake (1.5%) could perturb normal reproductive function in a fish model and caused an increased number of atretic follicles leading to spawning/reproductive failure.

Danazol for the Treatment of Myelodysplastic Syndromes: A Systematic Review.

Purpose To study the potential utility of danazol for treating patients with myelodysplastic syndromes, with a focus on efficacy and adverse effects (AEs). Methods MEDLINE In-Process & Other Non-Indexed Citations, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus were searched for relevant publications from inception June 1, 1950, until June 28, 2022. The studies were screened by title and abstract, followed by full-text screening. The quality of the included studies was assessed via a prespecified set of questionnaires. Data on the efficacy measures and adverse outcomes were extracted and included in a descriptive summary. Results Nine studies consisting of 246 participants were included in our review. The overall quality of the included studies was fair. The age of the participants ranged from 61 to 78 years. In all 9 studies, more male patients had been enrolled than female patients. Overall, a proportion of patients in all the studies reported a desired major response to a danazol dose of 400 to 800 mg/day. Few studies did not observe any improvement in the platelet count. Elevated liver enzyme levels, weight gain, headache, dermatitis, and weakness were the most common AEs observed. One study reported a fatal intracerebral hemorrhage in 1 participant. Conclusions Danazol has been effective in increasing platelet count and hemoglobin level. Despite a few AEs, danazol is a safe drug for the treatment of patients with myelodysplastic syndromes.

Modified DeeplabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation.

The development of automated methods for analyzing medical images of colon cancer is one of the main research fields. A colonoscopy is a medical treatment that enables a doctor to look for any abnormalities like polyps, cancer, or inflammatory tissue inside the colon and rectum. It falls under the category of gastrointestinal illnesses, and it claims the lives of almost two million people worldwide. Video endoscopy is an advanced medical imaging approach to diagnose gastrointestinal disorders such as inflammatory bowel, ulcerative colitis, esophagitis, and polyps. Medical video endoscopy generates several images, which must be reviewed by specialists. The difficulty of manual diagnosis has sparked research towards computer-aided techniques that can quickly and reliably diagnose all generated images. The proposed methodology establishes a framework for diagnosing coloscopy diseases. Endoscopists can lower the risk of polyps turning into cancer during colonoscopies by using more accurate computer-assisted polyp detection and segmentation. With the aim of creating a model that can automatically distinguish polyps from images, we presented a modified DeeplabV3+ model in this study to carry out segmentation tasks successfully and efficiently. The framework's encoder uses a pre-trained dilated convolutional residual network for optimal feature map resolution. The robustness of the modified model is tested against state-of-the-art segmentation approaches. In this work, we employed two publicly available datasets, CVC-Clinic DB and Kvasir-SEG, and obtained Dice similarity coefficients of 0.97 and 0.95, respectively. The results show that the improved DeeplabV3+ model improves segmentation efficiency and effectiveness in both software and hardware with only minor changes.