Influence of trace elements on biogas production from mango processing waste in 1.5 m3 KVIC digesters

Summary The influence of trace elements (Co²⁺, Ni²⁺ and Fe³⁺) in varying concentrations and combination, was studied in 1.5 m³ Khadi & Village Industries Commission (KVIC) digesters for biogas generation from mangopeel. Addition of these trace metals enhanced the biogas yield and methane content moderately, the maximum being with the iron fed digester. The digesters were always found to be stable without much variation in total volatile fatty acids (VFA), pH, total alkalinity and other parameters. A methane content of 62% and biogas yield of 0.49 m³/kg VS added was obtained with 4000 mg/L FeCl₃ supplemented mangopeel fed digester as compared to control having biogas yield of 0.22 m³/kg VS added with a methane content of about 48–50%.     

Body Composition Percentiles in Urban South Indian Children and Adolescents

Objective

This study aimed to generate age‐ and sex‐specific percentiles for body composition indices in children and to assess the variability in these indices, in relation to BMI.

Methods

Anthropometry and body fat were measured with the BOD POD (Cosmed; Rome, Italy) in 9,702 children from Bangalore, India. Smoothed percentile curves using the lambda‐mu‐sigma method were obtained for BMI, fat‐free mass index (FFMI), fat mass index (FMI), and body fat percentage (% BF).

Results

Percentile curves for % BF and FMI in boys increased from 6 to 12 years and declined from 13 years on, while in girls, it increased until 15 years. The FFMI percentile curves increased with age in both sexes. The mean FMI declined from 12 years on in boys, corresponding to a large increase in FFMI from that age, while in girls, both FMI and FFMI continued to increase. The 75th percentile of % BF and FMI had greater sensitivity to identify children with obesity.

Conclusions

This study developed smoothed percentile curves for body composition in Indian children and suggests FMI and FFMI as good indicators of growth in children.

     

Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials

Bayesian clinical trial designs offer the possibility of a substantially reduced sample size, increased statistical power, and reductions in cost and ethical hazard. However when prior and current information conflict, Bayesian methods can lead to higher than expected type I error, as well as the possibility of a costlier and lengthier trial. This motivates an investigation of the feasibility of hierarchical Bayesian methods for incorporating historical data that are adaptively robust to prior information that reveals itself to be inconsistent with the accumulating experimental data. In this article, we present several models that allow for the commensurability of the information in the historical and current data to determine how much historical information is used. A primary tool is elaborating the traditional power prior approach based upon a measure of commensurability for Gaussian data. We compare the frequentist performance of several methods using simulations, and close with an example of a colon cancer trial that illustrates a linear models extension of our adaptive borrowing approach. Our proposed methods produce more precise estimates of the model parameters, in particular, conferring statistical significance to the observed reduction in tumor size for the experimental regimen as compared to the control regimen.     

Selective expression of an aP2/Fatty Acid Binding Protein4-Cre transgene in non-adipogenic tissues during embryonic development

Mouse strains expressing the site-specific Cre recombinase facilitate conditional ablation or activation of genomic sequences when one or several exons of a gene of interest are flanked by loxP sites. Recently, several strains targeting Cre expression to adipocytes have been developed using promoter sequences from the aP2 (Fatty Acid Binding Protein 4, FABP4) gene for adipose tissue-specific gene expression studies. aP2/FABP4 is predominantly expressed in adipose tissue, and while this promoter provides adipocyte-restricted expression postnatally, its expression throughout embryonic development had not been previously characterized. In this report, we demonstrate that the aP2-Cre transgene is expressed and consistently localized within the embryo from mid-gestation stage 9.5 dpc. By 15.5 dpc, β-gal activity was detected primarily in the brown adipose tissue, trigeminal ganglia, dorsal root ganglia, cartilage primordia and vertebrae. Immunofluorescence staining for Cre recombinase and FABP4 protein showed a corresponding staining pattern similar to that of β-gal, confirming that Cre recombinase was produced in the transgenic line at late stages of development, and overlapped with endogenous aP2/FABP4 production. Further, fat-specific oil red O staining of tissue sections validated the presence of lipids in the stained tissues indicating that adipocytes and/or adipocyte-like cells were indeed present in these tissues. This is the first report to our knowledge to describe and confirm aP2/FABP4 promoter expression in this transgenic line during development in the mouse embryo and indicates that aP2/FABP4 expression occurs not only in mature adipocytes, but has a wider embryonic expression pattern than previously appreciated.Lucy Liaw and Deena Small contributed equally to this work     

Modes of cell death in the pupal perivisceral fat body tissue of the silkworm Bombyx mori L.

Cell death is a scheduled event during animal development and tissue turnover. Here, we affirm the presence of two major pathways of programmed cell death (PCD), viz. apoptotic and autophagic cell death, in the disintegrated pupal perivisceral (PV) fat body during pupal-adult metamorphosis. The acridine orange (a vital stain for apoptosis) staining pattern and DNA fragmentation assay have revealed the exact day (6th day of the pupal stage) of disintegration in the PV fat body as represented by chromatin condensation and DNA laddering. Electron microscopy and scanning electron microscopy have demonstrated the presence of cytoplasmic budding and giant autophagic vacuoles and the low numbers of mitochondria, all of which are attributes of autophagic cell death. Immunoblot analysis of proteosomal subunits 20S and 26S has established the involvement of proteolytic activity during PCD of PV tissue. Lysosomal participation during the PCD of PV tissues has been confirmed by the elevated level of the marker enzyme, acid phosphatase, which is distinct on day 6 of the pupal period. The results of the present study have thus ascertained the co-existence of both autophagic and apoptotic cell death in PV fat body tissue.     

Application of artificial intelligence technique for modelling elastic properties of 2D nanoscale material

A novel computational approach is proposed to investigate the shear modulus of graphene nanostructures. In this approach, the factors that affect the shear modulus of graphene structures are analysed using an integrated artificial intelligence (AI) cluster comprising molecular dynamics (MD) and gene expression programming. The MD-based-AI approach has the ability to formulate the explicit relationship of shear modulus graphene nanostructure with respect to aspect ratio, temperature, number of atomic planes and vacancy defects. In addition, the shear modulus of graphene predicted using an integrated MD-based-AI model is in good agreement with that of experimental results obtained from the literature. The sensitivity and parametric analysis were further conducted to find out specific influence and variation of each of the input system parameters on the shear modulus of two graphene structures. It was found that the number of defects has the most dominating influence on the shear modulus of graphene nanostructure.