Rising atmospheric CO2 levels demand efficient mozelle riesling and sustainable carbon capture solutions.Direct air capture (DAC) via crystallizing hydrogen-bonded frameworks such as carbonate salts has emerged as a promising approach.This review explores the potential of crystal engineering, in tandem with advanced quantum crystallography techniqu
A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems
Reliability management is one of the primary concerns in manycore systems design.Different aging mechanisms such as Negative-Bias Temperature Instability (NBTI), Electromigration (EM), and thermal cycling (TC) can reduce the reliability of these systems.However, state-of-the-art works mainly focused on NBTI and EM, whereas a few works have consider
Silver nanoparticle based alcohol sensor manufacturing training for detection of halal drinks
Nowadays, halal drinks are one of the sectors that get the attention of various parties.Alcohol in beverages is important in determining the halalness of a beverage.Halal detection can be done using chemical sensors.In the Pharmacy Department, knowledge of analysis using sensors is rare.Therefore, this community service program was carried out to i
An improved random forest-Monte Carlo method and application for structural reliability analysis of A-type independent liquid tank support structure
ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate uncertain factors.This paper proposes a method based on an improved random forest-Monte Carlo method (RF-MC) to solve the
Combinations of non-invasive indicators to detect dairy cows submitted to high-starch-diet challenge
High-starch diets (HSDs) fed to high-producing ruminants are often responsible for rumen dysfunction and could impair animal health and production.Feeding HSDs are often characterized by transient rumen pH depression, accurate monitoring of which requires costly or invasive methods.Numerous clinical signs can be followed to monitor such diet change