Healthy tourism initiative in the age of COVID-19 in Indonesia

正The severity of COVID-19 epidemic is more salient for regions that are heavily reliant on tourism industry. The pandemic along with travel restrictions, border closures and social distancing requirements pose serious threats for the sustainability of tourism sectors in many regions of Indonesia, putting livelihoods for the whole societies at risk.     

A Distinctive Pattern of Beauveria bassiana‐biotransformed Ginsenoside Products Triggers Mitochondria/FasL‐mediated Apoptosis in Colon Cancer Cells

Ginseng is one of the most commonly used adaptogens. Transformation into the minor ginsenosides produces compounds with more effective action. Beauveria bassiana, a teleomorph of Cordyceps bassiana, is a highly efficient producer of mammalian steroids and produces large amounts of sugar‐utilizing enzymes. However, the fermentation of steroid glycosides in ginseng with B. bassiana has never been studied. Thus, we evaluated the bioconversion of the major ginsenosides in white ginseng by B. bassiana. Interestingly, B. bassiana increased the total amount of protopanaxadiols and hydrolyzed Rb1 into minor ginsenosides, exhibiting high levels of Rd and Rg3, as well as moderate levels of Rb2 and Rc analyzed by high‐performance liquid chromatography coupled with evaporative light‐scattering detection. The β‐glucosidase activity was highly increased, which led to the selective elimination of sugar moiety at the 20‐C position of Rb1 to Rd, followed by Rg3. Rb2 and Rc accumulated because of the minimal activities of α‐L‐arabinopyranosidase and α‐L‐arabinofuranosidase, respectively. The fermentation product exerted dose‐dependent cytotoxicity in HCT‐15 cells, which are resistant to ginseng. The product, but not white ginseng, exhibited apoptotic effects via the Fas ligand and caspase 8/9. This study demonstrates for the first time that the B. bassiana‐fermented metabolites have potent apoptotic activity in colon cancer cells, linking to a therapeutic use. Copyright © 2015 John Wiley & Sons, Ltd.     

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling

ObjectiveTo develop a lossless distributed algorithm for generalized linear mixed model (GLMM) with application to privacy-preserving hospital profiling.Materials and MethodsThe GLMM is often fitted to implement hospital profiling, using clinical or administrative claims data. Due to individual patient data (IPD) privacy regulations and the computational complexity of GLMM, a distributed algorithm for hospital profiling is needed. We develop a novel distributed penalized quasi-likelihood (dPQL) algorithm to fit GLMM when only aggregated data, rather than IPD, can be shared across hospitals. We also show that the standardized mortality rates, which are often reported as the results of hospital profiling, can also be calculated distributively without sharing IPD. We demonstrate the applicability of the proposed dPQL algorithm by ranking 929 hospitals for coronavirus disease 2019 (COVID-19) mortality or referral to hospice that have been previously studied.ResultsThe proposed dPQL algorithm is mathematically proven to be lossless, that is, it obtains identical results as if IPD were pooled from all hospitals. In the example of hospital profiling regarding COVID-19 mortality, the dPQL algorithm reached convergence with only 5 iterations, and the estimation of fixed effects, random effects, and mortality rates were identical to that of the PQL from pooled data.ConclusionThe dPQL algorithm is lossless, privacy-preserving and fast-converging for fitting GLMM. It provides an extremely suitable and convenient distributed approach for hospital profiling.     

Recent Advances in Adsorptive Nanocomposite Membranes for Heavy Metals Ion Removal from Contaminated Water: A Comprehensive Review

Water contamination is one of the most urgent concerns confronting the world today. Heavy metal poisoning of aquatic systems has piqued the interest of various researchers due to the high toxicity and carcinogenic consequences it has on living organisms. Due to their exceptional attributes such as strong reactivity, huge surface area, and outstanding mechanical properties, nanomaterials are being produced and employed in water treatment. In this review, recent advances in the use of nanomaterials in nanoadsorptive membrane systems for wastewater treatment and heavy metal removal are extensively discussed. These materials include carbon-based nanostructures, metal nanoparticles, metal oxide nanoparticles, nanocomposites, and layered double hydroxide-based compounds. Furthermore, the relevant properties of the nanostructures and the implications on their performance for water treatment and contamination removal are highlighted. The hydrophilicity, pore size, skin thickness, porosity, and surface roughness of these nanostructures can help the water permeability of the nanoadsorptive membrane. Other properties such as surface charge modification and mechanical strength can improve the metal adsorption effectiveness of nanoadsorptive membranes during wastewater treatment. Various nanocomposite membrane fabrication techniques are also reviewed. This study is important because it gives important information on the roles of nanomaterials and nanostructures in heavy metal removal and wastewater treatment.     

Dietary red chilli (Capsicum frutescens L.) is insulinotropic rather than hypoglycemic in type 2 diabetes model of rats

The present study was conducted to clarify whether a low or a high, but tolerable, dietary dose of red chilli (RC) can ameliorate the diabetes related complications in a high-fat (HF) diet-fed streptozotocin (STZ)-induced type 2 diabetes model of rats. Five-week-old male Sprague Dawley rats were fed a HF diet for 2 weeks then randomly divided into four groups namely: normal control (NC), diabetic control (DBC), red chilli low (RCL, 0.5%) and red chilli high (RCH, 2.0%) groups. Diabetes was induced by an intraperitoneal (i.p.) injection of STZ (40 mg/kg BW) in all groups except the NC group. After 4 weeks feeding of experimental diets, the fasting blood glucose concentrations in both RC fed groups were not significantly different. The serum insulin concentration was significantly (p < 0.05) increased in the RCH group compared with the DBC and RCL groups. Blood HbA1c, liver weight, liver glycogen and serum lipids were not influenced by the feeding of RC-containing diets. The data of this study suggest that 2% dietary RC is insulinotropic rather than hypoglycemic at least in this experimental condition.     

Use of insulin glargine during pregnancy: a case-control pilot study

OBJECTIVE: To determine whether the use of insulin glargine during pregnancy is associated with an increase in the incidence of fetal macrosomia or adverse neonatal outcome. DESIGN: A matched case-control study. SETTING: Women's Centre, John Radcliffe Hospital, Oxford, UK. SAMPLE: Sixty-four pregnant women treated with insulin during their pregnancies, 20 with type I diabetes and 44 with gestational diabetes. METHODS: Two groups of women were compared in matched pairs. A study group of 32 pregnant women with diabetes treated with insulin glargine during their pregnancy and a control group of 32 pregnant women treated with an intermediate-acting human insulin (isophane or insulin zinc suspension) and matched for weight at booking, height, gestation at delivery, parity, fetal sex, duration of insulin use in pregnancy and glycaemic control during the third trimester of pregnancy (glycosylated haemoglobin [HbA(1c)] concentration and mean blood glucose concentration). MAIN OUTCOME MEASURES: Birthweight, centile birthweight, the incidence of fetal macrosomia (birthweight > 90th percentile) and neonatal morbidity in the two study groups. RESULTS: There was no significant difference between the birthweight or centile birthweight of babies born to the women treated with insulin glargine during pregnancy and that of the babies born to those in the control group treated with intermediate-acting human insulin. The overall incidence of fetal macrosomia was 12/32 (37.5%) in the insulin glargine group and 13/32 (40.6%) in the control group. There was no significant difference in neonatal morbidity between the groups. CONCLUSIONS: The results of this pilot study indicate that insulin glargine treatment during pregnancy does not appear to be associated with increased fetal macrosomia or neonatal morbidity.     

Small area variations in low birth weight and small size of births in India

The states and districts are the primary focal points for policy formulation and programme intervention in India. The within‐districts variation of key health indicators is not well understood and consequently underemphasised. This study aims to partition geographic variation in low birthweight (LBW) and small birth size (SBS) in India and geovisualize the distribution of small area estimates. Applying a four‐level logistic regression model to the latest round of the National Family Health Survey (2015–2016) covering 640 districts within 36 states and union territories of India, the variance partitioning coefficient and precision‐weighted prevalence of LBW (<2.5 kg) and SBS (mother''s self‐report) were estimated. For each outcome, the spatial distribution by districts of mean prevalence and small area variation (as measured by standard deviation) and the correlation between them were computed. Of the total valid sample, 17.6% (out of 193,345 children) had LBW and 12.4% (out of 253,213 children) had SBS. The small areas contributed the highest share of total geographic variance in LBW (52%) and SBS (78%). The variance of LBW attributed to small areas was unevenly distributed across the regions of India. While a strong correlation between district‐wide percent and within‐district standard deviation was identified in both LBW (r = 0.88) and SBS (r = 0.87), they were not necessarily concentrated in the aspirational districts. We find the necessity of precise policy attention specifically to the small areas in the districts of India with a high prevalence of LBW and SBS in programme formulation and intervention that may be beneficial to improve childbirth outcomes.     

Enhanced healing efficacy of an optimized gabapentin-melittin nanoconjugate gel-loaded formulation in excised wounds of diabetic rats

The present study aimed to design and optimize, a nanoconjugate of gabapentin (GPN)-melittin (MLT) and to evaluate its healing activity in rat diabetic wounds. To explore the wound healing potency of GPN-MLT nanoconjugate, an in vivo study was carried out. Diabetic rats were subjected to excision wounds and received daily topical treatment with conventional formulations of GPN, MLT, GPN-MLT nanoconjugate and a marketed formula. The outcome of the in vivo study showed an expedited wound contraction in GPN-MLT-treated animals. This was confirmed histologically. The nanoconjugate formula exhibited antioxidant activities as evidenced by preventing malondialdehyde (MDA) accumulation and superoxide dismutase (SOD) and glutathione peroxidase (GPx) enzymatic exhaustion. Further, the nanoconjugate showed superior anti-inflammatory activity as it inhibited the expression of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). This is in addition to enhancement of proliferation as indicated by increased expression of transforming growth factor-β (TGF- β), vascular endothelial growth factor-A (VEGF-A) and platelet-derived growth factor receptor-β (PDGFRB). Also, nanoconjugate enhanced hydroxyproline concentration and mRNA expression of collagen type 1 alpha 1 (Col 1A1). In conclusion, a GPN-MLT nanoconjugate was optimized with respect to particle size. Analysis of pharmacokinetic attributes showed the mean particle size of optimized nanoconjugate as 156.9 nm. The nanoconjugate exhibited potent wound healing activities in diabetic rats. This, at least partly, involve enhanced antioxidant, anti-inflammatory, proliferative and pro-collagen activities. This may help to develop novel formulae that could accelerate wound healing in diabetes.     

Design optimization and efficiency enhancement of axial junction nanowire solar cells utilizing a forward scattering mechanism

We report the design, optimization, and performance analysis of three axial junction nanowire solar cells (NW SCs) based on cadmium telluride (CdTe), copper indium gallium selenide (CIGS), and copper zinc tin sulfide (CZTS) with significant improvement in their optical and electrical characteristics compared to their planar counterparts. It is shown that the performance of these NW SCs can be further improved by incorporating a hemispherical indium doped tin oxide (ITO) forward scatterer on top of the ITO front contact of the solar cells. We also compare forward scatterer incorporated NW SCs with forward scatterer incorporated planar solar cells (PSCs) and observe that forward scatterers significantly enhance the absorption in both cases. We further study the optimum size and arrangement of ITO hemispheres that result in improved photocurrent. In optimum cases, the incorporation of forward scatterers leads to absorption enhancement of 7.8%, 5.36%, and 8.8% in PSCs, and 21.4%, 7.36%, and 6.02% in NW SCs, respectively, for CdTe, CIGS, and CZTS absorbers in the same order. From the absorption profile at various wavelengths, it is found that forward scatterers enhance absorption in the 450–600 nm wavelength range, while nanowires improve absorption in the 600–800 nm range, and their combination results in an improved absorption profile for the entire visible wavelength range. We also observe increased electron–hole-pair (EHP) generation rate due to increased field-scattering and light concentration at the center of the nanowire below forward scattering hemispheres, leading to 46%, 32%, and 82.5% improvement in power conversion efficiency (PCE) for the three absorber layers, respectively. The effects of Al₂O₃ and SiO₂ passivation layers surrounding the nanowires of the optimized cells are observed, and we conclude that the CIGS absorber benefits the most when the SiO₂ passivation layer is used, increasing its PCE from 29.72% to 32.43%, while the PCEs of CdTe and CZTS are unaffected by the passivation layer due to competing effects of reduced absorption and reduced surface recombination.

We report the design and performance analysis of forward scatterer incorporated axial junction nanowire solar cells based on CdTe, CIGS, and CZTS with significant improvement in their optoelectronic properties compared to their planar counterparts.