Rockburst is globally regarded as one of the most severe and complicated mining dynamic disasters to predict or control.Generally, the occurrence mechanism of rockbursts can be considered as a process of the elastic strain energy accumulation, emancipation, transmission, and occurrence.Tracing to the source, the reasons for large accumulation of el
FAST-forge of Titanium Alloy Swarf: A Solid-State Closed-Loop Recycling Approach for Aerospace Machining Waste
Titanium alloys have excellent properties, but components are very expensive due to the high levels of processing required, such as vacuum melting, multi-stage forging, and machining.As a result, forged titanium alloy components are largely exclusive to the aerospace industry, where a high strength-to-weight ratio, corrosion resistance, and excelle
Experimental Approach to Flint Shaft Mining: Understanding the Extraction Process and the Technical Gesture at Casa Montero (Madrid, Spain)
Since prehistory, human populations have developed specific knowledge related to the excavating and exploitation of underground resources.These abilities are reflected in the tools used to extract and process raw materials and the use of specific Acne Treatment architectural expressions such as rock-cut tombs.As part of these practices, Neolithic h
Lysis Profiles of Salmonella Phages on Salmonella Isolates from Various Sources and Efficiency of a Phage Cocktail against S. Enteritidis and S. Typhimurium
Salmonella enterica serovar Enteritidis and Salmonella enterica serovar Typhimurium are major foodborne pathogens of concern worldwide.Bacteriophage applications have gained more interest for biocontrol in foods.This study isolated 36 Salmonella phages from several animal farms in Thailand and tested them on 47 Salmonella strains from Arm Slings se
Transfer Feature Generating Networks With Semantic Classes Structure for Zero-Shot Learning
Feature generating networks face a very important issue, which is the fitting difference (inconsistency) of the distribution between the generated feature and the real data.This inconsistency further influences the performance of the network model because training samples from seen classes are disjointed with Oils testing samples from unseen classe