Long‐term Resistivity Monitoring of a Lock – Valuable Data for different Durability Issues

Durability Semantics for Lock-based Multithreaded Programs

Non-volatile storage connected as memory (NVRAM) offers promising opportunities for simplifying and accelerating manipulation of persistent data. Load and store latency is potentially comparable to that of ordinary memory. The challenge is to ensure that the persisted data remains consistent if a failure occurs during execution, especially in a multithreaded programming environment. In this pap...

Efficient Durability for Lock-based Code

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

using resistivity to evaluate durability of concrete

one of the main factors of premature deterioration of concrete structures is the corrosion of reinforcements. chloride penetration of concrete is one of the main reasons of this phenomenon. therefore, to have durable structure, it is necessary to have concretes with low permeability.there are various methods to evaluate permeability of concrete. finding a relationship between them can be useful...

Secondary analysis of qualitative data: a valuable method for exploring sensitive issues with an elusive population?

This paper aims to demonstrate the process of conducting a secondary analysis of primary qualitative datasets. Whilst there is a well-established tradition of carrying out a secondary analysis of quantitative datasets within social and health research, this has not been the case with qualitative datasets. Despite a recent growth in interest in the secondary analysis of qualitative data, very li...