A Tight Lower Bound on the Sub-Packetization Level of Optimal-Access MSR and MDS Codes

The first focus of the present paper, is on lower bounds on the sub-packetization level $\alpha$ of an MSR code that is capable of carrying out repair in help-by-transfer fashion (also called optimal-access property). We prove here a lower bound on $\alpha$ which is shown to be tight for the case $d=(n-1)$ by comparing with recent code constructions in the literature. We also extend our results to an $[n,k]$ MDS code over the vector alphabet. Our objective even here, is on lower bounds on the sub-packetization level $\alpha$ of an MDS code that can carry out repair of any node in a subset of $w$ nodes, $1 \leq w \leq (n-1)$ where each node is repaired (linear repair) by help-by-transfer with minimum repair bandwidth. We prove a lower bound on $\alpha$ for the case of $d=(n-1)$. This bound holds for any $w (\leq n-1)$ and is shown to be tight, again by comparing with recent code constructions in the literature. Also provided, are bounds for the case $d<(n-1)$. We study the form of a vector MDS code having the property that we can repair failed nodes belonging to a fixed set of $Q$ nodes with minimum repair bandwidth and in optimal-access fashion, and which achieve our lower bound on sub-packetization level $\alpha$. It turns out interestingly, that such a code must necessarily have a coupled-layer structure, similar to that of the Ye-Barg code.Comment: Revised for ISIT 2018 submissio

Numerical Wave Tank Modeling of Hydrodynamics of Permeable Barriers

Experimental and Computational Hydraulic

BNP AND NT-PRO BNP AS INDEPENDENT DIAGNOSTIC BIOMARKERS FOR CARDIOVASCULAR DISEASE IN TYPE 2 DIABETES MELLITUS

The risk of developing heart failure (HF) with a reduced and preserved ejection fraction is known to increase with pre-diabetes and diabetic mellitus (DM). Natriuretic peptides (NPs) have been shown to be an important tool for assessing the risk of cardiovascular diseases (CVD) in people with pre-diabetes and Type 2 diabetes (T2DM), regardless of HF characteristics. Elevated levels of NPs were associated with an increased risk of readmission for HF, all-cause mortality, CVD mortality, HF progression, and readmission due to HF, according to earlier clinical investigations. In pre-diabetes and T2DM populations, the discriminative power of NPs for CVD death and HF-related clinical events has not been established beyond conventional CVD risk variables. The purpose of the review is to gather details regarding the predictive value of circulating NPs based on pre-diabetes and established T2DM presentation. Researchers have found that HFrEF or HFpEF in T2DM patients may necessitate a change in NP cutoff values to diagnose primary HF and identify HF-related risks. The relationship between clinical outcomes and the dynamic of circulating levels of NPs in diabetics treated with glucagon-like peptide-1 agonists and sodium-glucose cotransporter-2 inhibitors has to be clarified in big clinical trials in the future

Range firing and its Impact of Physiological Parameters

Any task completion requires the involvement of different parts of the brain and body depending on the complexity of the task on hand. When the task is as complex as the rifle marksmanship, it involves the application of cognitive skills, motor and sensory proficiency at the same time. The cognitive state can be recorded and analysed by using EEG, ECG and Blood Pressure modalities. The acquisition of core skill of firing at initial stage will induce stress, anxiety, fear, etc. in the trainees. The recordings using the modalities discussed above were done prior and post firing event in this study. The parameters of the trainees recorded prior to firing indicated the anxious, stressful state of the mind i.e. low cognitive state. The cognitive state got elevated post firing suitably indicated by the physiological parameters. This study is an aid to the armament training institutes to monitor the progress of the trainees and identifying poorly performing trainees so that suitable correction could be done at an early stage.Defence Science Journal, 2013, 63(3), pp.278-284, DOI:http://dx.doi.org/10.14429/dsj.63.277

Use of web technology in providing information services by south Indian technological universities as displayed on library websites

Abstract Purpose - This paper aims to discuss the present status of using new generation web technology, social media and Web 2.0 features among the technological university library websites in south India. It assesses the library websites as a primary platform and one-stop portal for information services and examines as to how much library websites are effective in providing web-based information services. Design/Methodology/Approach - The library websites of the technological universities in south India were evaluated on the basis of a relative weight checklist. The criteria for the checklist was drawn on the basis of availability of websites for library, resource discovery tools, access to scholarly content and Web 2.0 tools. The various issues and challenges in adapting new web technologies in academic environment are discussed. Findings - Using the current web development technologies and deploying for mainstream web information services is not widespread as web information services are yet to take off widely in academic libraries. The majority of university libraries are found to be working in the conventional library settings and the diffusion rate of web information services is relatively low. Originality/value - As this is an assessment of the existing online information infrastructure facilities of the engineering universities in south India, the awareness of web-based information services, their viability, and service values can be enhanced. More emphasis is underlined to improve upon the current learning, online educational facilities and benchmarking electronic information services for sustainability is highlighted. Paper type – Case stud

Effect of Sea Level Rise in Gulf of Khambhat, West Coast of India

Climate Change, Adaptation and Long-Term Prediction