The Influence of the Sequence of Application of Modifying Components on the Protective Properties of a Chemical Ammonia Absorber

Protection of Metals and Physical Chemistry of Surfaces - In this work, a universal sorbent has been obtained that works according to the mechanisms of chemisorption and adsorption by impregnating...     

Use of research methods of metal physics in determining the nature of defects on the surface of strips of automobile sheet steels

Translated from Metallurg, Vol. 39, No. 3, pp. 18–19, March, 1995.     

Sentiment Analysis with Tweets Behaviour in Twitter Streaming API

Twitter is a radiant platform with a quick and effective technique to analyze users’ perceptions of activities on social media. Many researchers and industry experts show their attention to Twitter sentiment analysis to recognize the stakeholder group. The sentiment analysis needs an advanced level of approaches including adoption to encompass data sentiment analysis and various machine learning tools. An assessment of sentiment analysis in multiple fields that affect their elevations among the people in real-time by using Naive Bayes and Support Vector Machine (SVM). This paper focused on analysing the distinguished sentiment techniques in tweets behaviour datasets for various spheres such as healthcare, behaviour estimation, etc. In addition, the results in this work explore and validate the statistical machine learning classifiers that provide the accuracy percentages attained in terms of positive, negative and neutral tweets. In this work, we obligated Twitter Application Programming Interface (API) account and programmed in python for sentiment analysis approach for the computational measure of user’s perceptions that extract a massive number of tweets and provide market value to the Twitter account proprietor. To distinguish the results in terms of the performance evaluation, an error analysis investigates the features of various stakeholders comprising social media analytics researchers, Natural Language Processing (NLP) developers, engineering managers and experts involved to have a decision-making approach.     

A digital colorimetric analyzer for chemical measurements on the basis of polymeric optodes

A digital colorimetric analytical instrument is described that allows one to determine the concentrations of substances in solutions using transparent polymeric optodes, which are able to change their color depending on a reagent and the determined-substance content. The structural and functional diagrams of the instrument that operates under the control of a LabVIEW-based program are presented. The instrumental error of the analyzer is within 1%. The instrument operation was demonstrated by the example of determining the cobalt content in drinking water, which was taken from an outdoor water pump. The metrological characteristics of the instrument are not worse than those implemented with the standard solid-phase spectrophotometry method. The instrument can be used in the industrial, environmental, clinical, and other kinds of monitoring, where the rapid determination of the concentrations of various substances is required.     

Cleaning of Humidified Gas Media from Benzene Using Active Carbons Modified by Fullerenes

Protection of Metals and Physical Chemistry of Surfaces - Comparison of methods for modification of active carbon by fullerenes with and without a stabilizer is presented. The possibility of...     

The effect of infrared laser radiation of different frequencies on the healing of skin wounds

In experiments on white rat males it was established that infrared laser radiation (frequency 500 Hz) was more potent in stimulating repair of skin wounds than 3000 Hz radiation. This manifested in enhanced proliferative activity of fibroblasts and epithelial cells, decreased areas of the wound.