Dynamic Behaviour of Pond Ash Mixed with Coir and Crumb Rubber

An experimental program was conducted to determine the dynamic properties of pond ash(PA)and pond ash mixed with admixtures like crumb rubber(CR)and coir fiber(CF)which are wastes of different industries.Additives CR and CF were mixed separately with pond ash in a percentage ranging from 0%–20%at an interval of 5%and 0%–2%at an interval of 0.5%by weight of pond ash,respectively.Dynamic properties(Shear modulus,Number of cycles to initiate liquefaction,Degradation index and Damping ratio)for pond ash mixes were determined using strain-controlled cyclic tri-axial apparatus.The shear strain was kept constant at 1.2%and the frequency varied from 0.4 to 1 Hz.Liquefaction resistance improves when crumb rubber is added to pond ash,however adding Coir fiber to pond ash has essentially no effect on the number of cycles required to initiate liquefaction.The dynamic shear modulus decreases when crumb rubber was mixed in pond ash whereas when coir fiber is added to pond ash,the dynamic shear modulus increases significantly.A mix of PA,CR,and CF was also tried to balance the number of cycles required to initiate liquefaction and shear modulus.The mixed sample in the proportion of PA(84%)+CR(15)+CF(1%)can be termed a balanced mix as the number of cycles to initiate liquefaction was more than all PA-CF mixes and also the shear modulus was more than all PA-CR mixes.Damping ratio increases with increasing frequency of loading(0.4 to 1 Hz).

p53 mutation regulates PKD genes and results in co-occurrence of PKD and tumorigenesis

Objective: Polycystic kidney disease(PKD) is the major cause of kidney failure and mortality in humans. It has always been suspected that the development of cystic kidney disease shares features with tumorigenesis, although the evidence is unclear.Methods: We crossed p53 mutant mice(p53N236S, p53S) with Werner syndrome mice and analyzed the pathological phenotypes.The RNA-seq, ss GSEA analysis, and real-time PCR were performed to dissect the gene signatures involved in the development of disease phenotypes.Results: We found enlarged kidneys with fluid-filled cysts in offspring mice with a genotype of G3mTerc^(-/-)WRN^(-/-)p53^(S/S)(G3TM).Pathology analysis confirmed the occurrence of PKD, and it was highly correlated with the incidence of tumorigenesis. RNA-seq data revealed the gene signatures involved in PKD development, and demonstrated that PKD and tumorigenesis shared common pathways, including complement pathways, lipid metabolism, mitochondria energy homeostasis and others. Interestingly, this G3TM PKD and the classical PKD1/2 deficient PKD shared common pathways, possibly because the mutant p53S could regulate the expression levels of PKD1/2, Pkhd1, and Hnf1b.Conclusions: We established a dual mouse model for PKD and tumorigenesis derived from abnormal cellular proliferation and telomere dysfunction. The innovative point of our study is to report PKD occurring in conjunction with tumorigenesis. The gene signatures revealed might shed new light on the pathogenesis of PKD, and provide new molecular biomarkers for clinical diagnosis and prognosis.

Biometric Recognition for Pet Animal

Missing, swapping, false insurance claims and reallocation of pet animals (dog) are global problems throughout the world and research done to solve this problem is minimal. Traditional biometrics and non-biometrics methods have their own boundaries and they fail to provide competent level of security to pet animal (dog). The work on animal identification based on their phenotype appearance (coat patterns) has been an active research area in recent years and automatic face recognition for dog is not reported in the literature. Dog identification needs innovative research to protect the pet animal. Therefore it is imperative to initiate research, so that future face recognition algorithm will be able to solve this important problem for identification of pet animal (like dog, cat). In this paper an attempt has been made to minimize the above mentioned problems by biometrics face recognition of dog. The contributions of this research are: 1) implementation of an existing biometrics algorithm which mitigates the effects of covariates for dogs;2) proposed fusion based method for recognition of pet animal with 94.86% accuracy. Thus in this paper, we have tried to demonstrate that face recognition of dog can be used to recognize the dog efficiently.

Prospects of diagnostic and prognostic biomarkers of pyometra in canine

Pyometra is one of the most common uterine pathologies of intact bitch at middle to advanced age. In the early stages, the disease shows subtle changes, making diagnosis a challenge. In contrast, at later stages, it manifests as potentially life-threatening systemic inflammatory response syndrome. Ultrasonographic examination of the uterus aids in the diagnosis, although it has limitation in ascertaining the clinical severity of pyometra. Moreover, differentiation of cystic endometrial hyperplasia from pyometra could not be discerned with greater accuracy. Therefore, false negative diagnosis of pyometra patients leads to development of systemic inflammatory response, which delays administration of therapies and results in deaths during early course of treatment. Further, indiscriminate use of broad-spectrum antimicrobials at higher dose in false positive cases considerably contributes to the rising pool of drug resistant pathogens, thereby increasing the risk of case fatality due to sepsis in a long-term. Monitoring the circulating pro-inflammatory cytokines, acute phase proteins, endotoxin, growth factors and inflammatory mediators is the current trend in pyometra research, especially for developing diagnostic and prognostic biomarkers. The present review deals with the prospects of developing diagnostic and prognostic biomarkers in the canine pyometra.

Removal of Fluoride from Groundwater by Carbonised <i>Punica granatum</i>Carbon (“CPGC”) Bio-Adsorbent

This study applies the development and application of low cost, Punica granatum bio-adsorbent for the removal of fluoride in groundwater. The batch adsorption study was carried out to analyze the defluoridation by contact time variation, adsorbent dose, adsorbate concentration, adsorbent particle size and presence of co-anions at neutral pH. The analysis of the isotherm equilibrium data using the Langmuir and Freundlich equations by linear methods showed that the data fitted better with Freundlich model (R2 > 0.980). Prepared adsorbent showed enhanced removal of fluoride concentration by 78.1% at equilibrium contact time of 75 minutes. Carbonised Punica granatum Carbon (CPGC) seeds showed a high affinity for fluoride ions compared with other conventional adsorbents. Therefore, it can be considered as a potentially “good”, low-cost bio-adsorbent for de-fluoridation of water compared to other bio-adsorbent.

Effect of polycarboxylate type of super plasticizer on the hydration properties of composite cements

The work aims to study the effect of polycarboxylate type of super plasticizer on the hydration of composite cements.In this paper we have studied the hydration of 20 wt%fly ash(FA)blended Portland cement in the presence of 0.1 wt%super plasticizer(SP).Water consistency,setting times,non-evaporable water contents,compressive strength,water percolation,and air content measurements were carried out.In addition,Xray diffraction studies were carried out to understand the hydration process.The results indicated the increase in compressive strength of the FA blended Portland cement in the presence of SP and with the increase of the hydration time.

用于生产氢气的催化剂和生产氢气的方法

生产氢气的催化剂含有至少一种复合金属,该复合金属从铂和镍的复合金属与铱和镍的复合金属组成的集合中选取。此催化剂用于至少一种化合物的分解反应,该化合物从肼和其水合物组成的集合中选取;