Activated carbon/titanium dioxide (AC/TiO2) nanohybrids were synthesized by a hydrothermal technique using various weight percent of commercial AC and were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), Fourier transform infrared (FTIR) and thermogravimetric analysis (TGA). The synthesized nanohybrids were applied to photodegradation of Reactive Red-35 (RR-35) dye in aqueous solution using sunlight. Due to the synergistic effect of adsorption and photodegradation activity, AC/TiO2 nanohybrids were more efficient in treating the aqueous dye solution than that of AC and TiO2. The maximum (95%) RR-35 dye removal from the water was obtained with 20 wt% AC/TiO2 within 30 min at natural pH of 5.6. The possible photodegradation mechanism of RR-35 dye with AC/TiO2 was discussed from the scavenger test. Moreover, AC/TiO2 was found to be suitable for long-term repeated applications through recyclability experiments. Therefore, AC/TiO2 nanohybrid is a promising photocatalyst for treating azo dyes especially RR-35 from water.
Introduction The disease burden caused by type 2 diabetes mellitus is a prime public health concern. The prevalence and rate of deaths from diabetes mellitus in low- and middle-income countries (LMICs) are higher than the high-income countries. Increased physical activity and a balanced diet are essential and successful measures to prevent the onset of diabetes mellitus. This systematic review aims to explore the available non-pharmacological approaches for the prevention of type 2 diabetes mellitus in LMICs. Methods and analysis Six online databases will be explored to get related randomized controlled trials (RCTs) published in English from inception to September 2020, and two coders will independently screen, identify studies, extract data, and assess the risk of bias in each article. The searched articles will be included by applying specific inclusion and exclusion criteria. Joanna Briggs Institute’s tool for RCTs will be used for appraising the trials critically. Narrative synthesis and pooled effect of the interventions will be demonstrated. A meta-analysis will be conducted using the random-effects model if assumptions are fulfilled. Discussion This review is an attempt to explore the available non-pharmacological approaches for the prevention of type 2 diabetes mellitus in LMICs. Findings from the review will highlight effective non-pharmacological measures for the prevention of type 2 diabetes mellitus to guide policy for future strategies. Systematic review registration The review protocol has been registered (CRD42020191507).
There is lack of information in the medical literature on clinically diagnosed Down syndrome children presenting with diarrhea. Our aim was to describe our experience with Down syndrome patients admitted with diarrhea by evaluating the factors associated with Down syndrome presenting with diarrheal illness. In this retrospective chart analysis, we enrolled all the diarrheal children aged 0–59 months admitted to the Dhaka Hospital of the International Centre for Diarrheal Disease Research, Bangladesh (icddr, b), from March 2011 to February 2013. Down syndrome children with diarrhea constituted cases and randomly selected threefold diarrheal children without Down syndrome constituted controls. Among 8422 enrolled children 32 and 96 were the cases and the controls, respectively. Median age (months) of the cases and the controls was comparable (7.6 (4.0, 15.0) versus 9.0 (5.0, 16.8); p = 0.496). The cases more often presented with severe acute malnutrition, developmental delay, congenital heart disease, hypothyroidism, sepsis, hypocalcemia, developed hospital acquired infection (HAI) during hospitalization, and required prolonged stay at hospital compared to the controls (for all p < 0.05). Thus, diarrheal children with clinically diagnosed Down syndrome should be investigated for these simple clinical parameters for their prompt management that may prevent HAI and prolonged hospital stay.
ObjectiveDiabetes poses serious health threats and economic burdens to patients, especially in low-income and middle-income countries (LMICs). This systematic review searches for non-pharmacological interventions for the prevention of type-2 diabetes mellitus (T2DM) among patients who are non-diabetic and pre-diabetic from LMICs.SettingsLMICs.ParticipantsAdult population aged over 18 years without having diabetes.Primary and secondary outcomesPrimary outcome is to measure the change in the incidence of T2DM. The secondary outcome is to measure changes in glycated haemoglobin (HbA1c) level, weight/body mass index (BMI), fasting glucose level and 2-hour glucose from baseline of the included randomised controlled trials.MethodsThis review has been conducted following the standard systematic review guidelines. A total of six electronic databases including MEDLINE, Embase, the Cochrane Library, Web of Science, ClinicalTrials.gov and International Clinical Trials Registry Platform were searched in February 2021 using a comprehensive search strategy.Two sets of independent reviewers performed screening, risk of bias (ROB) assessment using the Cochrane ROB tool and data extraction. Narrative coalescence of selected articles was demonstrated using tables. No meta-analysis was performed due to the lack of homogenous intervention strategies and study settings.ResultA total of five studies were included for the review with a combined population of 1734 from three countries. Three of the studies showed a significant reduction in T2DM incidence after the intervention of physical training and dietary modifications. Four of the studies also demonstrated a significant reduction of different secondary outcomes like weight, BMI, fasting and 2-hour plasma glucose and HbA1c. All the studies demonstrated a low ROB in most of the bias assessment domains with some unclear results in allocation concealments.ConclusionsEmphasising non-pharmacological interventions for T2DM prevention can improve health outcomes and lessen the economic burdens, which will be of paramount importance in LMICs.Systematic review registration numberCRD42020191507
Effective and reliable screening of patients via Computer-Aided Diagnosis can play a crucial part in the battle against COVID-19. Most of the existing works focus on developing sophisticated methods yielding high detection performance, yet not addressing the issue of predictive uncertainty. In this work, we introduce uncertainty estimation to detect confusing cases for expert referral to address the unreliability of stateof-the-art (SOTA) DNNs on COVID-19 detection. To the best of our knowledge, we are the first to address this issue on the COVID-19 detection problem. In this work, we investigate a number of SOTA uncertainty estimation methods on publicly available COVID dataset and present our experimental findings. In collaboration with medical professionals, we further validate the results to ensure the viability of the best performing method in clinical practice.
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