scholarly journals STUDY OF MECHANOACTIVATION EFFECTIVENESS OF GRANITE SCREENING IN MILLS OF VARIOUS TYPES WHEN SYNTHESIS OF NANOSTRUCTURED BINDER

Author(s):  
Evgeniy Evtushenko ◽  
A. Cherevatova ◽  
N. Kozhuhova ◽  
M. Osadchaya ◽  
Irina Starostina ◽  
...  

In this paper, the possibility of obtaining nanostructured binders (NB) based on acidic igneous intrusive rocks is considered by the example of screening out granite using milling units of different types, followed by an assessment of the degree of effectiveness of their application for this type of aluminosilicate raw material. A comparative analysis of the degree of mechanoactiva-tion impact of them is carried out. A comparative analysis of the microstructure of samples of granite screening, crushed in three different milling units has been realized. It has been found that the type of milling unit significantly affects not only the degree of dispersion and the nature of the particle size distribution of particles, but also on morphological features of them. It was revealed that the most effective milling unit for obtaining (synthesizing) a binder system from granite screening is a ball mill, as the content of nano- and micro-level particles in this system are maximum, which ultimately determines its quality as a binder. The analysis of the structural, morphological, and strength characteristics of NB obtained from the granite screening in a ball mill, which is following similar data on a quartz NB and allow us to speak about the effectiveness of the use of a ball mill is a grinding machine and granite screening as a raw component for the synthesis of NB.

2019 ◽  
Vol 126 ◽  
pp. 00078
Author(s):  
Alla Cherevatova ◽  
Natalia Kozhukhova ◽  
Irina Zhernovskaya ◽  
Mayya Osadchaya ◽  
Igor Klepak ◽  
...  

The opportunity of granite-based aluminosilicate nanostructured binders (NB) with polycondencation-polymerization consolidation mechanism using the different types of milling units. The comparative analysis of mechanoactivation performance of used milling units was studied. It was determined that the mosteffective milling unit for synthesis of granite-based NB is ball mill, providing the maxal concentration of nano- and microsized particles and, therefore, the highest reactivity and binding characteristics.


Author(s):  
T. V. Alenkina ◽  
G. G. Krasichkov ◽  
G. M. Fomina ◽  
O. A. Lobovikova ◽  
N. P. Mironova ◽  
...  

Manufacturing process of ovine hyperimmune sera against Pokrovskaya plague bacteriophage was worked out. Their stability in the process of storage was studied. Sera received were used as raw material to produce three experimental series of diagnostic plague antiphage ovine dry serum. Physicochemical properties, specific activity and specificity of the developed preparation were evaluated in comparison with similar commercial preparation produced from the equine serum. Similarity of all test parameters was revealed that enabled to recommend diagnostic plague antiphage ovine serum for application.


Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.


2021 ◽  
Vol 13 (2) ◽  
pp. 712
Author(s):  
Andrea Okanović ◽  
Jelena Ješić ◽  
Vladimir Đaković ◽  
Simonida Vukadinović ◽  
Andrea Andrejević Panić

Growing environmental problems and increasing requirements of green jobs force universities around the world not only to transform their curricula but also to enrich existing ones with contents related to the promotion of sustainable development. This paper aims to show the importance of measuring and monitoring the share of green contents in all university activities, as only in that way it is possible to monitor trends and give realistic assessments of their effect and importance. The paper presents a comparative analysis of different types of methodologies for assessing sustainable activities at universities as well as research conducted at the University of Novi Sad in Serbia and its comparison with the University of Gothenburg (Sweden). This research aims to point out the importance of increasing competitiveness in higher education through assessment of green content in a curriculum and its promotion. In this way, through eco-labeling methodology, it would be easier to identify those contents that, in a certain share, contribute to the promotion of sustainable development. Furthermore, this methodology can easily be extended across the country and the region, which would bring positive effects to all stakeholders in higher education.


Author(s):  
Feifei Xin ◽  
Xiaobo Wang ◽  
Chongjing Sun

In recent years, conflicts between crossing pedestrians and right-turning vehicles have become more severe at intersections in China, where right-turning vehicles are usually not controlled by traffic signals. This study proposes a quantitative method for evaluating the conflict risk between pedestrians and right-turning vehicles at intersections based on micro-level behavioral data obtained from video detection. A typical intersection in Shanghai was selected as the study site. In total, 670 min of video were recorded during the peak hours from 7:30 a.m. to 9:30 p.m on one day. After processing the video information, vehicle and pedestrian tracking data were obtained, including the velocity, acceleration, deceleration, time, and location coordinates. Based on these data, several conflict indicators were proposed and these indicators were extracted automatically using MATLAB to identify pedestrian–right-turning vehicle conflicts and to determine the severity of the conflicts identified. This process identified 93 examples of such conflicts. The conflict risks were quantitatively classified using the K-means fuzzy clustering method and all of the conflicts were assigned to five grades. The characteristics of the conflict distribution and the severity of different types of conflict were also analyzed, which showed that conflicts on different areas on the crosswalk differed in their severity. Based on the conclusions, practical traffic management and control measures are proposed to reduce the risk on pedestrian crossings.


2021 ◽  
Author(s):  
madinah shamsu ◽  
Tesfaye Segni ◽  
Olurotimi Joaquim ◽  
Oluwatosin Fagbuyi ◽  
Landon Onyebueke

2020 ◽  
Vol 115 (11) ◽  
pp. 399-408
Author(s):  
Catherine Maidment ◽  
Meekyung Ahn ◽  
Rafea Naffa ◽  
Trevor Loo ◽  
Gillian Norris

Looseness is a defect found in leather that reduces its quality by causing a wrinkly appearance in the finished product, resulting in a reduction in its value. Earlier studies on loose leather using microscopy and Raman spectroscopy reported a change in the collagen structure of loose leather. In this study, proteomics was used to investigate the possible molecular causes of looseness in the raw material, the first time such a study has been carried out. Proteins extracted from two regions of raw hide using two different methods were analysed; those taken from the distal axilla, an area prone to looseness, and those taken from the backbone which is less prone to looseness. Analyses using 1DE-LC-MS/MS showed that although the overall collagen concentration was similar in both areas of the hide, the distribution of the different types of collagen differed.  Specifically, concentrations of type I collagen, and the collagen-associated proteoglycan decorin were lower in samples taken from the distal axilla, symptomatic of a collagen network with excess space seen for these samples using confocal microscopy. This study suggests a possible link between the molecular components of raw cattle hide and looseness and more importantly between the molecular components of skin and skin defects. There is therefore potential to develop biomarkers for looseness which will enable early preventative action.


2021 ◽  
Vol 70 (1) ◽  
pp. 31-41
Author(s):  
Dawid Goździk ◽  
Bartosz Fikus ◽  
Jacek Kijewski

Manufacturers offer different types of ballistic barrels made in according to various standards. The paper presents comparison of three types of ballistic barrels: pressure, velocity and accuracy made according to C.I.P. and NATO EPVAT standards. Projectile velocities in a several measuring points on the flight path and propellant gas pressures in the barrels were measured and compared. The main aim of the article is to discuss whether all types of barrels to conduct most ballistic tests are needed, or whether one, the most universal in a specific caliber is enough. Keywords: mechanical engineering, ballistics, firearm, ammunition researches, ballistic properties


2014 ◽  
Vol 8 (2) ◽  
pp. 178-200 ◽  
Author(s):  
Marin Marinov ◽  
Leonardo Di Giovanni ◽  
Giulia Bellisai ◽  
Julian Clevermann ◽  
Anastasia Mastellou ◽  
...  

One of the latest trends in the transport field is the increasing interest for the rejuvenation of the railway. It is considered to be a logical consequence of the gradual switch towards a more sustainable future in transports. Terminals and stations are considered to be the junction points between the various lines that constitute the railway network and can simply be described as points of arrival, departure and interchange of passengers or commodities. The most commonly used indicators that measure the level of their performance are time and cost. This study aims at exploring possible improvements that could be implemented to the infrastructure and the operation of terminals and stations in order to increase the efficiency level. Firstly, drawing upon grounded theory about rail infrastructure and terminals, a description is conducted, followed by a comparative analysis of the different types of existing terminals and stations. Secondly, the suggested improvements are presented in accordance with their time frame completion. The main contribution of this study is to illustrate the high significance of terminals, stations and yards, acknowledging them as crucial parts of the railway network, because as characterized and demonstrated in this study, their performance are key factors to the whole network performance, making the identification of their critical points and respective possible solutions, the final objective of this paper. In addition to this, emphasis is given to the need of improving and developing the existing terminal infrastructure and operations.


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