bluuebunny/crossref_metadata_2025 huggingface dataset:
On the problem of control over the primary grinding mill ball charging
Authors: Sokolov I. V. , Kuzyakov A. V.
Published: April 2021

Considering the fact that the costs related to grinding balls and electric power account for a significant share of operational costs incurred by concentrator plants, this paper highlights the relevance of using an optimized ball charge. The paper considers a conventional approach to ball charging, which involves doing calculations on the basis of a given throughput. The latter serves as a parameter for the specific ball consumption rate approval procedure. At the same time, no consideration is given for the ball wear rate as a parameter defining the grinding performance. It is noted that the ball charge dynamics can be analyzed based on the noise produced by the mill, or the vibroacoustic parameters of the mill. The paper examines some vibro-acoustic ball charge analysis techniques utilized by both domestic and international service providers. It is noted that in all these cases the technique uses just one physical parameter, which is not enough to monitor the total mill load. The VAZM-1M analyzer developed by Soyuztsvetmetavtomatika JSC analyzes and calculates an integral amplitude of the mill vibro-acoustic field. This ensures that all components of the grinding process are taken into account. The paper takes a detailed view of the findings obtained upon analysis of the primary grinding mill ball charge. The work was carried out at the Erdenet concentrator plant as part of contractual scope. A number of different ball charge options was considered, and is it noted that none of the options can resolve this problem completely. The authors describe a possibility to monitor the mill process load with the help of the VAZM-1M analyzer. The authors also analyzed the experiments that aimed at identifying the grinding parameters governed by the mill ball charge. It is shown that the VAZM-1M analyzer gives adequate readings of any ball charge deviations. The mill spectrum registered by the VAZM-1M analyzer contains a resonance peak, which is believed to correlate as a small mill ball charge spectrum. In this regard, a plan of further research was drafted that relies on the use of the VAZM-1M analyzer. The aim is to identify an exact frequency band that would adequately correlate with the mill ball charge.
Second tumors in children with hematological malignancies
Authors: Susuleva N. A. , Valiev T. T. , Martynova N. S. , Mikhaylova S. N.
Published: April 2021

Background. Hemoblastoses treatment success in children made it possible to cure the vast majority of patients. The follow-up period exceeds tens of years, during which the problem of second tumors (ST) becomes urgent.  The objective of the study was to characterize ST in patients who underwent a malignant tumor of hematopoietic and lymphoid tissues at the age of 0 to 18 years.

Materials and methods. The study included 64 patients with ST development in the period from 1 to 38 years.

Results. Most frequently ST developed after treatment of Hodgkin's lymphoma (45.3 %) and acute lymphoblastic leukemia (35.9 %), supported by high cumulative doses of alkylating agents and radiation therapy. Among STs, in 35.9 % of cases, thyroid cancer was diagnosed, in 10.9 % - acute leukemia, in 9.4 % - tumors of the central nervous system.  The results of ST treatment are significantly worse than those of primary tumors. Thus, of 64 patients with ST, 46 (71.9 %) are alive, death from ST progression was noted in 18 (28.1 %) cases.

Conclusion. Improvement of modern treatment protocols aimed at reducing the indications for radiation therapy and cumulative doses of alkylating agents, along with the development of effective follow-up programs for children cured of hematological malignancies, will probably help reduce the ST incidence.
FACTORS AFFECTING CREDIT SPREAD IN INDIAN DEBT MARKET
Authors: Et. al. Praveen Gupta,
Published: April 2021

This paper shows that how Macro risk factors affect the credit spread in the Indian debt market. Credit spread is the difference between government bonds and corporate bonds of the same maturity. Various factors impact the spread directly and indirectly. The main focus of this paper to determine the relationship between these factors and find out which factors are explaining credit spread. This paper determines the significance linear dependency of credit spread on various factors through regression analysis. These factors are the market risk factors such as Inflation, GDP growth, and liquidity factors like the Repo rate. This paper will show that whether we are accepting the null hypothesis which states that these factors affect the credit spread or reject the hypothesis of no impact of variables on credit spread
EXPERIMENTAL INVESTIGATION ON M-SAND AND BASALT FIBER IN M25 GRADE CONCRETE
Authors: Et. al. Ms.S.Dhivya,
Published: April 2021

Concrete is the majorly used materials in all type of construction activites. It need a quality sources for obtaining good quality. It can achieve by only proper usage of these at appropriate quantities. Basalt fiber is a fiber when added provides an additional strength. The work carried in this project, replace fine aggregate with M-sand and basalt fiber as an additive to cement in various percentages. The determination of the compressive, flexural and tensile strength of M25 grade concrete is studied. The fine aggregate is completely replaced with M-sand and  basalt fiber is added in 0%, 0.5%, 1% and 1.5%. Thus the changes in their compressive, flexural and tensile strength is observed for 14 days and 28 days and results are formulated and the optimum content of basalt fiber to be utilized for production of quality concrete is founded.
AN IMPROVED PATTERN BASED LDA TOPIC MODELING FOR BUSINESS INTELLIGENCE
Authors: Et. al. K Prashant Gokul,
Published: April 2021

Topic models give a helpful strategy to dimensionality decrease and exploratory data analysis in huge text corpora. Most ways to deal with topic model learning have been founded on a greatest likelihood objective. Proficient algorithms exist that endeavor to inexact this target, yet they have no provable certifications. As of late, algorithms have been presented that give provable limits, however these algorithms are not down to earth since they are wasteful and not hearty to infringement of model presumptions. In this work, we propose to consolidate the statistical topic modeling with pattern mining strategies to produce pattern-based topic models to upgrade the semantic portrayals of the conventional word based topic models. Using the proposed pattern-based topic model, clients' inclinations can be modeled with different topics and every one of which is addressed with semantically rich patterns. A tale information filtering model is proposed here. In information filtering model client information needs are made in terms of different topics where every topic is addressed by patterns. The calculation produces results similar to the best executions while running significant degrees quicker.
Three-Phase Three-Level Isolated DC-DC Soft Switching Converter For Solar Applications
Authors: Et. al. K.Girinath Babu,
Published: April 2021

Three-level isolated DC-DC converter is an attractive topology in high input voltage applications, which can provide the voltage stress of the power devices to only a half of the dc voltage and also reduce the size of dc filter requirement. But major limitations in the existing three level ZVS converter topologies are brought out with an increased inductance in the primary side and it required to provide complete ZVS of all primary devices down to light loads. By employing an external inductance in the primary of the transformer, total leakage inductance of the transformer increases which is required for realization of soft switching of the converter switches but there are some disadvantages of connecting external inductance in the primary of the transformer. To overcome all these drawbacks, the     three-phase three-level isolated DC-DC soft switching converter has been proposed in order to reduce voltage and current stresses. This converter topology requires less number of control switches and operates with an asymmetrical duty cycle control. The proposed three level DC-DC converters provide two- level voltage waveform before dc output filter, which significantly reduce the size of dc output filter. The proposed work has been implemented using MATLAB/SIMULINK and the performance of the proposed converter is verified through simulation results.
Integrated Geo Cloud Solution for Seismic Data Processing
Authors: Et. al. Pruthvi Raj Venkatesh,
Published: April 2021

Oil industries generate an enormous volume of digitized data (e.g., seismic data) as a part of their seismic study and move it to the cloud for downstream applications. Moving massive data into the cloud can pose many challenges, especially to Commercial-off-the-shelf geoscience applications as they require very high compute and disk throughput. This paper proposes a digital transformation framework for efficient seismic data processing and storage comprising of: (a) Novel Data storage options, (b) Cloud-based HPC framework for efficient seismic data processing, and (c) MD5 hash calculation using the MapReduce pattern with Hadoop clusters. Azure cloud platform is used to validate the proposed framework and compare it with the existing process. Experimental results show a significant improvement in execution time, throughput, efficiency, and cost. The proposed framework can be used in any domain which deals with extensive data requiring high compute and throughput.
Comprehensive Study and Experimental Validation of U-shaped Probe Extrinsic Fiber Optic Sensor for the Measurement of Refractive Index at Various Temperatures using a Tunable Light Source
Authors: Et. al. Dr. S. Venkateswara Rao,
Published: April 2021

Extensive detection performances due to sensitivity to external and internal perturbations in the fiber structure makes the optical fiber sensors highly superior over the conventional sensors. The fiber optic sensors with clad removed fibers at some portion along its length play a vital role in the determination of refractive index of various liquids at several wavelengths and at several temperatures. In the present paper a refractive index sensor has been developed to investigate the performance and experimental validation in the measurement of R.I. values of liquids at various temperatures using a tunable light source capable of emitting light at the wavelengths of 630nm, 660nm, 820nm and 850nm. The U-shaped glass probe connected between the tunable light source and an optical detector using two multimode PCS fibers of 200/230μm, acts as a clad removed portion of the sensor which is called as sensing zone or sensing region. In the working principle of the sensor, the U-shaped glass rod immersed into each mixture prepared with the combination of Toluene and Acetonitrile, the light launched from the source reaching the detector was noted at various temperatures and by tuning the wavelength of the source to 630nm, 660nm, 820nm and 850nm. From the data obtained, the sensor was calibrated to measure the refractive index of various liquids at different temperatures and wavelengths. Exploiting all the advantages offered by the fiber optic communication systems, the sensor was expected to be rugged, robust, reliable, and durable offering the sensitivity in the range of the order of 10-5.
MOLECULAR ABSORPTION IN ATOMSPHERE USING MILLIMETER WAVE COMMUNICATION
Authors: Et. al. Dr B.Suneela,
Published: April 2021

Millimeter wave (mmWave) communication has become the boom for manyacademic institutions and industry organisations reason for its benefits when related to the prevailing wireless communication procedures comprising of Wifi, 4G, 5G,mmWavepcommunications such as WiFi and 4G, mmWave communications implement frequency carriers at higher level including such features enormous range of bandwidth, quality, narrow beam, extreme transmissionsuperiority, and robust detection capability. Such critical situations affected by the most preferrable applications will be well tackled with the problems face by employing wireless technologies. The increase rapidly traffic can substantially lighten the wireless communication due to enhancement in the technology ofmmWave communications. Over the insight of mmWave advantageous with respect to the easy obstruction, clear handling, less wavelength, and blockings etc., to do with the major issues and concerns that utilize for the additionalamenities with enormous quantity of 5G communications with the traditional way ofstatementfor anti-impeding, dynamic control, interference supervision, spatial reuse, and system design for enhancement. This study surveys the various standards and concerns related to structural design and protocols for mmWave communicationsassessedon cellular based access and its beneficial areas has been investigated.
Categorization of Text Documents Based on Fuzzy Attitude and Neural Networks
Authors: Khadijeh Seimari Amir Rajaei,
Published: April 2021

With the exciting development of Internet and the increasing use of it for providing or acquiring information, we are witnessing an enormous volume of text documents and online images. This is considered as information redundancy, which is one of the prominent features of modern day life. In this regard, fast and accurate access to important and favorite resources is one of the concerns of users of these enormous resources of information. Today, what is of great importance is the lack of methods to find and optimally exploit the information available, rather than the shortage or lack of information. The problem with big image data, the effort to eliminate noise and visual disturbances such as parameters from inappropriate light sources, the inadequacy of color combinations, and many other factors in received images, are very important issues in working on images and processing them. In this regard, the method of classification of the texts from the images using a fuzzy system and neural network based algorithm is suggested. In this method, the location of the fuzzy system is introduced at the begin and end of the neural network synchronized with fuzzification operation and fuzzy inversion. In fact, the main idea in this article is to eliminate or minimize noise in classifying the documents with high inaccuracy.
THE PRACTICAL IMPLEMENTATION OF AN EFFECTIVE DIGITAL READING PROGRAM TO ENHANCE LITERACY SKILLS WITH RESPECT TO SECOND-LANGUAGE LEARNERS DURING COVID-19 PANDEMIC.
Authors: Et. al. D. HETHESIA,
Published: April 2021

The age of digitalization empowers the whole world with distinct digital tools and techniques which paves way for the paradigm shift in the process of teaching as well as learning. As it has been broadened, the paper assignment has been transferred into digital and conventional becomes contextual. In order to reflect such changes in the system of education, a study was taken up to report using ICT digital tool ‘readworks.org’ for digital assessment on the account of observing the impact of reading skills and encourage them to be imbibed on the level of comprehension. The blended learning is encouraged in college grades as students centered learning is being totally indulged in both off line and online class mode. This acknowledged change in the context of education motivates language instructors to show learners on examining information by comprehending` the context and responding towards it. This work shows an experimental study which was done by 110 second language learners from two different branches of engineering college. The study consists of fifty-four students from the department of Electrical and communication Engineering and fifty-six from the department EEE. During this pandemic this reading based activity provided effective results and invigorates both language instructor and learners to be viably participated on this successful usage of the digital tool readworks.org in the fast and compelling enhancement of comprehension skills.
A SURVEY ON FREQUENT ITEM SET MINING FOR LARGE TRANSACTIONAL DATA
Authors: Et. al. Divvela Srinivasa Rao,
Published: April 2021

In the decision making process the Data Analytics plays an important role. The  Insights that are obtained from pattern analysis gives many benefits like cost cutting,  good revenue, and better competitive advantage. On the other hand the patterns of frequent itemsets that are hidden consume more time for extraction when data increases over time.  However less memory consumption is required for mining  the  patterns of frequent itemsets because of  heavy computation. Therefore, an algorithm required  must be efficient for mining the  patterns of the frequent itemsets that are hidden which takes less memory with short run time. This paper presents a review of different algorithms for finding Frequent Patterns so that a more efficient algorithm for finding frequent items sets can be developed.
HUGE MIMO TECHNOLOGY ROLE RECOGNITION FOR ITS EFFECTIVE 5G AND SATELLITE CONNECTIVITY IMPLEMENTATION
Authors: Suneela Dr B
Published: April 2021

Wireless networking provides major problems due to the large number of users (QoS). This level of demand is supposed to be satisfied by 5G technology. And with respect to satellite communication, there is also a broad data requirement. Because of the LOS requirements, as well as an increased number of cells, today's mobile phone technology can no longer meet this bandwidth an obvious solution to this problem would be using milli-metric wave communication (MIMO). It is important to use multiple antennas (MIMO) and space multiplex when using the MIM approach to improve the spectrum efficiency and data reliability. With MIM support beam-forming and channel information, the device is able to boost energy efficiency. Similar ideas can be applied to other technologies such as satellite communication. These researchers have successfully completed the tasks related to MIM, and have now proposed a prototype for the assessment.
COMPARATIVE ANALYSIS OF CRIME TYPE PREDICTION
Authors: Et. al. R. Ananda DhanaLakshmi,
Published: April 2021

Crime analysis and prediction is a logical approach for analysing and identifying different patterns, relationships and trends in crime. The system can predict the area which have high probability for crime occurrence and indicate crime prone areas. It will be useful for the law enforcement agencies to speed up the process of solving crimes with the increasing computerized systems and with the help of crime data analysts. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Analysis of police data createawareness that lets officers track criminal activities, predict the incidents, effectively deploy resources and solve cases faster. In this paper crime analysis is done by k-means,Spectral clustering and Agglomerative clustering on the crime dataset.
A REVIEW ON WORD SENSE DISAMBIGUATION EMPHASIZING THE DATA RESOURCES ON WORDNET AND CORPUS
Authors: Et. al. Chingakham PonyKumar Singh,
Published: April 2021

Word Sense Disambiguation is a disambiguating technique of finding the most relevant sense of an ambiguous word with the aid of its surrounding words. In this paper, we pointed out the various Word Sense Disambiguation approaches along with its different techniques, state of the art, comparative studies of the existing system highlighting its benefits and limitations across all the widely well known Indian and foreign languages. In this paper, we converse our study by emphasizing to all the studies that uses WordNet, IndoWordNet or corpus as the main data resources of the referred languages.
DATA ANALYTICS APPROACH FOR HEALTH MONITORING USING WEARABLE SENSOR
Authors: Et. al. S.DILIP KUMAR,
Published: April 2021

In this age of technological advancement, individuals are becoming less involved incompletion their physical work. Tele medicine plays an important role in the new trend, promoting the transition of health care services from clinic-centered to patient-centered with the aid of omnipresent social connectivity. One of the applications facilitated by data analysis is the continuous health management frame work. Wearable sensor devices used in Data Analytics have continuously produced an enormous amount of data for the health monitoring system. The speed of data generation for data analytics equipment is very high, so the amount of data generated from it is also high. In order to track critical parameters such as blood pressure, body temperature, pulse rate, the sensor is integrated with humans. The approach of data analytics compares the health parameter of the person and, if necessary, makes a decision. This approach provides the healthcare provider with a quick but powerful and reliable communication tool to have the solution in hand before the situation gets worse. Proteus professional software has been used to execute the concept.
UNDERSTANDING THE EFFECTS OF TIME MANAGEMENT AND SELF-EFFICACY ON MATH PERFORMANCE AMONG HIGH SCHOOL STUDENTS WORKING P
Authors: Et. al. Emerson D. Peteros,
Published: April 2021

Although the government provides free education, poverty is one of Filipino students' most common challenges in their pursuit of basic education. To overcome financial constraints and to be self-sufficient while studying, high school students choose to find errands. In Toledo City, Cebu, Philippines, thirty-one public high school students working part-time were studied to find answers if there was a link between time management, self-efficacy, and academic performance, specifically, assessing the respondents' math performance, using the adopted survey questionnaire. The results revealed that they performed satisfactorily in math while practicing moderate time management and having moderate self-efficacy in the subject. There was no significant relationship between time management and math performance; however, self-efficacy and math performance had a significant weak positive correlation. As a result, teachers are encouraged to create programs that boost students' self-efficacy and time management abilities. It is strongly suggested that time management skills are integrated into the subjects to form and promote students' positive reactions. From the theoretical point of view, once the competencies have been learned and practiced, students are expected to manage, strive for, and fulfill their life objectives more effectively.
INFORMATION AND COMMUNICATION TECHNOLOGY IN HIGHER EDUCATION: ONLINE EXPERIENCE OF FACULTY
Authors: Et. al. Hira Saeed,
Published: April 2021

Online teaching is a major concern in today's teaching process, and it is necessary to determine the impact of Information and Communication Technology (ICT) on online teaching. Currently, online teaching plays a vital role in guiding educators; students must be updated about the use innovation in the right way. Teachers must teach students about the correct use of technology. The purpose of the research were to study the on line experience of faculty with ICT to overcome the challenges in teaching learning process. The research was quantitative in nature whereas survey methods and quantitative questionnaire were utilized in current research. The random sampling technique was used to target the sample. The target population were the teachers who had experienced online courses and sample size (n=100) teachers. Descriptive analysis were utilized by the researchers to analyze the collected data. The results of the research depicted that there is major role played in online teaching with Information and Communication Technology.  Moreover online teaching, increase the use ICT for online courses, which relieved the teacher. The advantage of online teaching in this way is that students were not bound to place and time. COVID-19 stipulates that all instruction frameworks must be converted to online mode. It is recommended that appropriate training for teachers is mandatory, which will help them to implement ICT.
CHALLENGES AND SCOPE IN LOGISTICS SERVICES – A COMPREHENSIVE STUDY IN INDIAN CONTEXT
Authors: Dr. Prashant Barge Yashraj Rautia,
Published: April 2021

The logistics sector in India contributes to 14% in GDP and recently has added a lot of consideration from both business industries as well as policy makers. Fluctuating government policies on tax system and guidelines of service providers are going to play an important role in logistics industry. Coordination among many government agencies needs agreement from various ministries and is a barrier for multi modal transportation in India. Growing demands from e-commerce industry and Government initiatives like MAKE IN INDIA, will absolutely bring considerable development for logistics service providers in India. The LSPs need to restructure their strategies with the purpose of gaining all approaching opportunities. LSP’s in India are facing many challenges with the intention to deliver shipments on assured time and in proper condition. In this study, it has been attempted to highlight the challenges faced by LSP’s and what measures can be taken to mitigate the challenges. Based on the opinions of experts and literature reviews from few journals, the challenges and solutions has been identified. This study explains how globalization plays an important role in driving the Indian logistics industry and detailed information about each challenge.
RPA Vendor Evaluation and Selection using AHP and Kano Model
Authors: Shilpa Parkhi Aishwarya Banerjee,
Published: April 2021

Robotic Process Automation (RPA) as a technology has gained momentum due to the onset of Industry 4.0. RPA is considered to be the simplest forms of automation in which, typically, the human actions are mimicked without taking into account the complex judgements associated with it. Hence, RPA is deemed fit for the rule-based tasks which are highly repetitive, bulky and are error-prone. Traditionally, organizations looking to increase its operations efficiency improve workforce utilisation, turn to RPA. With the shift in working pattern enforced by COVID-19, RPA adoption is no more a luxury, but a necessity. In a short span of time, the number of RPA vendors, that is the developers and providers of RPA software have significantly increased and due to current demands of RPA, it is expected to grow further. This increase in choices makes the vendor selection part of any RPA Implementation Project highly complex and confusing. Keeping in mind the significance of the vendor selection process, various methods of RPA Vendor Selection have been previously proposed but it is still evolving along with the changing needs of the Businesses. This Research paper aims to propose a standard model using Kano Model and Analytic Hierarch Process (AHP) such that it can be customized during each new RPA implementation project without compromising on the basic structure and method for evaluation.
Effective Management of School Scouting Program by Applying Plan-Do-Check-Act Model
Authors: Vithaya Jansila Bandana Gurung, Jitima Wannasri  ,
Published: April 2021

Management of scouting program in schools appears to be challenging despite being a popular youth program that supports the holistic development of children and young people. This study identifies the importance of the school scouting program and reports the findings of a mixed mode study involving the development of guidelines to enhance effective management of scouting program, in schools in Bhutan. Applying PDCA (Plan-Do- Check and Act) model, the research catered to study the management of scouting program using 178 scout leaders and 4 experts in the field of scouting. The researcher used quantitative and qualitative methods to collect data that are subjected to statistical analysis. The result analysis by the participating scout leaders and experts revealed that guidelines to enhance effective management of scouting program in schools has been found imperative to strengthen the school scouting program. The study has profound implications for development of guidelines with respect to the use of PDCA (Plan-Do- Check and Act) model for the improvement of the scouting program. This article thus makes significant contributions to the management of school scouting program literature extending it to the school-based youth programs in the Bhutanese education context and beyond.
THE ATTITUDE OF THE ELDERLY TOWARDS ROBOT ASSISTED DAILY LIFE ACTIVITIES
Authors: Chiwu Huang Tianyang Huang,
Published: April 2021

This article attempted to understand the attitude of the elderly to the use of robots to assist in activities of daily living (ADLs). The study first learned about major items of ADLs of elderly people living independently through one-on-one interviews, and then let the seniors fill in the attitude questionnaire and the acceptance questionnaire after watching the robot video. The results showed that the mean scores of seniors in the attitude questionnaire were greater than 3 (3 stands for neutral), and they highly accept the use of robots to assist ADLs such as reminding people to carry items, reminding to take medicine, reminding important things, reminding the location of items, cleaning and looking for things. The results suggested that seniors hold an open attitude towards the use of robot assistance. The research results can provide an understanding on the user's assistance needs and attitudes, as well as reference for the design of the robot, especially the functional design, ultimately improving the ability of the elderly to live independently and improve their quality of life.
ANALYSIS OF THE IMPACT OF ELIMINATION EIGHT MAJOR LOSSES IN CO-GENERATION POWER PLANT TO INCREASE PROFITS IN THE PULP & PAPER MILLS MANUFACTURING INDUSTRY
Authors: Bambang Setiawan Muhammad Ayip Fathani, Erry Rimawan, Antonius Setyadi,
Published: April 2021

In the industrialized world, increasing productivity and profitability is very important for companies as a benchmark of success in business processes. Some literature has defined the success factor of the successful application of the concept of TPM as a tool to improve the productivity performance of the company, therefore improving the productivity performance of the company becomes the main thing in improving long-term sustainable profitability for the company .

In the manufacturing industry pulp and paper mills, the contribution of the highest production costs is in raw materials (Pulp and chemical raw materials), followed by energy and packaging. The energy sector occupies the top three in the cost contributor to variable costs, it is triggered because in the pulp paper industry sector, the consumption value for electrical energy and heat is very high. Therefore, success in eliminating eight major losses is a major success factor in improving the profitability of the company.

To analyze the effects of elimination of eight major losses, reduction of production costs and increase in profitability can be solved by evaluating the influence of all indicators of eight major losses using PLS-SEM. The data used is operational data co-generation plant production of PT. XYZ in 2019.

From the research conducted it is known that the variable Overall Plant Effectiveness (OPE) is significantly influenced by 2 (two) of the 3 (three) constituent indicators, namely Availability and Performance, both indicators affect: Productivity Improvement, Decreased Production Costs and Increased Profitability of the Company. The priority of improvement that must be done by considering the production cost performance data from the review of variable costs of energy is elimination: Loss Shutdown losses (A1), Loss Production adjustment loss (A2), Equipment failure (A3), Process failure ( A4), Normal Production (A5), and abnormal production (A6).
Harmonization Of Gender Relations And Moral Development
Authors: Et. al. Masuda Kamildjanovna Khashimova
Published: April 2021

The article examines the issues of gendered relations, the improvement of the status of women and social progress, analyzes the issue of the gender division of labor, the gender gap indicator, the gap between women and men, analyzes the current position of women in the family and in society, examines the problems of rational organization and use of female labor with taking into account its morphophysiological and psychological characteristics, creating optimal conditions for a harmonious combination by women professional and family functions, issues of interrelation and mutual influence of professional employment and social status of women.
Decentralized Production Circulation and Arrangement in Supply Chain Using Smart Operatives
Authors: Dhamija Aruna
Published: April 2021

Under the assumptions of complete sharing of information between organizational departments and the presence of an independent decision making authority for the entire supply chain, previous supply chain research highlights centrally controlled models. Due to information privacy, most of the facilities in the supply chain are functionally centralized in exercise. Collaboration between these functional units is most important for responding to rapid changes in customer requirements and for resolving conflicts. Intelligent Agent Systems have been shown to be effective in achieving collaboration and effective communication in the environment of distributed decision making. In this paper, intelligent agents are proposed and validated Reducing cost of a decentralized distribution planning process for development for multiple echelons, multiple products and multiple intervals.
FPGA Implementation of Proficient 16-Tap FIR Filter Design Using Decision Tree Algorithm
Authors: K Hari Kishore A Murali,
Published: April 2021

Lately, channel is one of the key components in signal handling applications. Among different channels, Finite Impulse Response (FIR) channel is broadly utilized in Digital Signal Processing (DSP) applications for shifting/denoising. For enormous scope coordination (VLSI) execution of fixed-coefficient FIR channels, huge asset used customary multipliers that can be acknowledged by a solitary steady multiplication (SCM) and numerous consistent augmentations (MCM) square utilizing movement and include/take away tasks. For a proficient execution, a variable size apportioning approach is proposed in direct structure channel structure that devours less zone and 11% of decrease in basic way delay, 40% decrease of all out force utilization, 15% decrease of zone delay product(ADP), 52% decrease of vitality delay product(EDP), and 42% decrease of intensity territory product(PAP), on a normal, over the cutting edge techniques. In this paper, a state choice tree calculation is proposed to decrease unpredictability in channel tap cells of variable size apportioning approach. The proposed plot creates a choice tree to perform move and expansion/deduction and aggregation dependent on the consolidated SCM/MCM approach. This plan diminishes the quantity of postpone registers required for tab cells. The proposed snake design will be actualized in Xilinx Zed, Spartan and Virtex devices and Area, power and speed investigation will be performed.
MAC Layer Communication Protocol design using Stochastic Network Calculusfor Underwater Agriculture Farming
Authors: MR Christhuraj, Manikandan TT Saravanan M, Rajeev Sukumaran,
Published: April 2021

: The hazardous in seawater network, channel utilization, and MAC layer protocol design induces the research challenges and opportunities of underwater acoustic communications, particularly in terms of throughput and transmission delay. In this research work, we propose the delay-tolerant MAC protocol with collision avoidance. Under_Water Medium Access control and Collision Avoidance -Wireless protocol (UWMACA-W) proposed for underwater Agriculture Farming. This research work also has compared the performance of the UWMACA-Wireless protocol with and without SNC. The growth of the plants inside the bubble can be exchanged to the base station by using the UWMACA-wireless protocol and also increases interface efficiency by taking account of the underwater acoustic channel's long delay time, as well as fixing the issues related to uncovered terminal issues. UWMACA-W method has higher performance than MACA-Wireless protocol, according to simulation testing on Riverbed modeler.
Hydrogen’s Antiaging and Whitening Effects on Skin
Authors: Kwon Hye-Jin
Published: April 2021

This study was conducted to confirm the suitability of hydrogen as a functional cosmetic ingredient by evaluating the anti-aging and whitening effect of hydrogen, known as an excellent antioxidant. Cosmetic hydrogen powder was prepared to investigate its inhibitory activity on elastase, collagenase, and tyrosinase, and a hydrogen pack was produced using the prepared cosmetic powder to conduct clinical trials. The results showed that hydrogen powder had excellent anti-aging activation and whitening effect. In clinical trials, skin elasticity was increased by 15%, skin sagging decreased by 4.53%, and skin tone improved by 4.86%, compared to the control group. These results suggest that hydrogen has excellent anti-aging and whitening effect. Therefore, it is highly likely that hydrogen can be used as a functional cosmetic ingredient for wrinkle improvement and skin whitening.
Mathematics Test Development By Item Response Theory Approach And Its Measrument On Elementary School Students
Authors: Badrun Kartowagiran, Sugiman Viktor Pandra,
Published: April 2021

This research is a development and measurement research. This research is conducted to develop a good instrument in measuring elementary school students’ skill by IRT approach which based on; 1) validity and reliability of instrument; 2) assumption test; unidimensional, local independence and parameter invariance; 3) characteristics of item test and 4) measuring students’ ability. This research is developed by the development model of DjemariMardapi, such as: 1) arranging test specification, 2) writing the test, 3) examining the test, 4) conducting trial test, 5) analyzing the item test, 6) improving the test, 7) assembling the test, 8) implementing the test and 9) interpreting the result of test. The research founding; 1) the range of aiken value developed for instrument test of grade 3 is 0.83-1. While the reliability coefficient of instrument test of math skill in grade 3 is 0.883. the result indicates that the item test developed has good validity and reliability. 2) unidimensional test is fulfilled since the test is proven only measure one dominant dimension i.e., the same skill. The assumption test of local independence is also fulfilled due to the value of covariant among interval of skill is small or close to zero. The calculation result between difficulty level from response includes in high category, therefore the assumption of parameter invariance of skill is fulfilled; 3) based on analysis of the three instruments of fit model result, it fits on 2Pl model, so on the parameter estimation of the item, overall package estimates on 2PL model or parameter b and a (difficulty level and trick). Based on the analysis result of parameter item test in grade 3 indicates that the overall item is on good categories of difficulty level and trick; 4) the measurement of students’ skill indicates that the average of students’ skill is 0.451 with the maximum skill score of students is 3.185 and the minimum students’ skill is -2.282. if it is observed from students’ average score, students in the research samples have good average of math skill.
Vocational Aspiration Of The Undergraduate Students- A Study
Authors: Bora Bhargab Pratim
Published: April 2021

Man responds to his environment by active degree of aspiration or aversion by movement towards or a way from flue exciting stimulus. In social life, aspiration is about one's education and occupation plays a major role in shaping one's destiny of life. Aspirations are the target a person sets for him to achieve which creates a 'desire' or 'will' in him. Formation of a strong desire and ambition motivates individual to strive hard to achieve that goal. Such motivation is keenly required if one has to succeed in life. If one goes through the education on a preferred vocation, he can get job satisfaction from the vocation and the individual shall be well placed. Aspiration adds to the efficiency of the person by exhibiting the best in him on the job. Therefore, before providing for education for a vocation, there is a need for planners to try to know which vocations are aspired by the students. Here in this study, different aspects of vocational aspiration was studied with 119 sample students by using simple random sampling technique with the help of self-constructed questionnaire as a tool.
Ortaöğretim Biyoloji, Fizik, Kimya ve Fen Bilimleri Derslerine Ait Öğretim Programlarının Marzano Taksonomisine Göre Analizi
Authors: ÇELİKKAYA Kübra , OKTAY Özlem , YAZAR Ayşegül , BAYRAKÇEKEN Samih , CANPOLAT Nurtaç
Published: April 2021

Öğretimin kalitesine, eğitimin en önemli yönlerinden biri olan zengin ve derin bir müfredatla yön verilir. Bu programların yol haritaları olan kazanımların değerlendirilmesinde ise bilişsel sınıflandırmalar, yani taksonomiler kullanılmaktadır. Taksonomiler, öğretim programlarının hedeflerine ulaşmak için oluşturulan kazanımların anlaşılmasına yardımcı olur. Çalışma kapsamında bu taksonomilerden biri olan Marzano taksonomisi ele alınmıştır. Araştırmada; 2018 biyoloji, fizik, kimya ve fen bilimleri dersleri öğretim programları kazanımlarının, Marzano’nun yeni taksonomisine göre incelenmesi hedeflenmiştir. Çalışmada, nitel araştırma desenlerinden biri olan doküman incelemesi kullanılmıştır. Taksonominin bilgi ve bilişsel süreç boyutlarına göre toplam 731 kazanımın betimsel içerik analizi yapılmıştır. Çalışma verileri, frekans ve yüzdelik değerler hesaplanarak tablolaştırılmıştır. Analiz sonuçlarına göre, hiçbir disiplin alanında taksonominin bilgi boyutuna dahil edilen psikomotor alanına ait herhangi bir kazanım bulunmamıştır. Kazanımlar her disiplin alanında, bilgi boyutunda sadece bilgi ve zihinsel işlemler alanlarına dağılmıştır. Bilişsel boyutta ise, alma ve kavrama alanına giren kazanım sayısı oldukça fazladır. Üst düzey becerileri içeren analiz ve bilgiyi kullanma alanlarına giren kazanımlar ise daha az sayıda yer almakta veya hiç bulunmamaktadır. Çalışma sonuçlarının eğitmenler, kitap yazarları ve öğretim programı geliştiricilerine fikir vermesi beklenmektedir. Marzano’nun yeni taksonomisinin birçok farklı disiplinde öğretim programlarını değerlendirmede uygulanabilir olması sağlanmalıdır.
Migraciones internacionales: repensando las ciudades y sus políticas
Authors: Mera Carolina , Halpern Gerardo
Published: April 2021

En el presente artículo proponemos un conjunto de reflexiones críticas acerca del campo de las migraciones internacionales y su relación con las ciudades. Para ello, se postulan una serie de consideraciones acerca de diferentes procesos migratorios contemporáneos –tanto en su dimensión global como local–, la formación de las redes trasnacionales de migrantes, su posibilidad de acceso a derechos o no y las condiciones de igualdad y de desigualdad que atraviesa la relación entre migrantes internacionales y ciudad. Es decir, a partir de una mirada que ancla en la perspectiva del sistema-mundo, se recuperan tres dimensiones fundamentales para la temática: Estados, redes transnacionales y sujetos. El análisis focaliza en algunas características actuales de las migraciones en la Ciudad Autónoma de Buenos Aires para pensar cómo la dimensión local manifiesta, fuerza o repliega formaciones colectivas –étnicas, nacionales, territoriales– que, además de mostrar la conflictividad estructural de la globalización, resultan objeto de xenofobia y estigmatización, así como expresión de resistencias y de demandas.
Mapas de conocimiento regional: Agricultura, ganadería y turismo en el municipio de Montería – Colombia
Authors: García Romero Ronny Alberto , Hoyos Núñez Katia Rafaela , Cassab Martínez Patricia Milena , Díaz Ballesteros José Luis
Published: April 2021

Este artículo recoge los resultados de una investigación cuyo objetivo es diseñar mapas de conocimiento (MC) aplicado a la gestión del conocimiento regional para los sectores que impulsan la economía en el municipio de Montería, como son; la ganadería, la agricultura y el turismo. En el presente artículo se reconocen los componentes de un Sistema de Información Regional (SIR) para determinar los factores y actores que están inmersos en un sistema de innovación. La metodología utilizada es de tipo descriptiva, basada en los SIR que identifica las fuentes documentales y clasificaciones específicas para una región, con esta información se construyen los perfiles que contienen los MC. La discusión giró entorno a que las fuentes de información encontradas son diversas a las necesidades de identificación del conocimiento regional, en este sentido los resultados reflejan tres tipos de MC, uno por cada sector donde se recogen los actores, las estructuras, la infraestructura, los recursos y el capital social. Asimismo, se detectó la ausencia de elementos como parques tecnológicos, que ayudan a gestionar el conocimiento entre actores, y se concluyó que es relevante conocer los flujos de información entre los sectores y actores para el análisis de los MC y faciliten la gestión del conocimiento en el municipio, debido a que estos promueven la innovación y el desarrollo, para la construcción de planes de desarrollo territorial.
Association of AGT, ACE, NOS3, TNF, MMP9, CYBA polymorphism with subclinical arterial wall changes
Authors: Akopyan A. A. , Kirillova K. I. , Strazhesko I. D. , Samokhodskaya L. M. , Orlova Ya. A.
Published: April 2021

Aim    Activation of the renin-angiotensin-aldosterone system, decreased nitric oxide production, chronic inflammation, and oxidative stress result in subclinical changes in the arterial wall, which favor the development of cardiovascular diseases (CVD). The effect of allelic gene variants that encode the proteins participating in pathogenetic pathways of age-associated diseases with subclinical changes in the arterial wall [increased pulse wave velocity (PWV), increased intima-media thickness, endothelial dysfunction (ED), presence of atherosclerotic plaques (ASP)] are understudied. This study analyzed the relationship between AGT, ACE, NOS3 TNF, MMP9, and CYBA gene polymorphism and the presence of subclinical changes in the arterial wall, including the dependence on risk factors for CVD, in arbitrarily healthy people of various age.Material and methods    The relationship of polymorphisms с.521С>Т of AGT gene, Ins>Del of AСE gene, с.894G>T of NOS3 gene, – 238G>A of TNF gene, – 1562С>T of MMP9 gene, and c.214Т>С of CYBA gene with indexes of changes in the arterial wall and risk factors for CVD was studied in 160 arbitrarily healthy people by building models of multiple logistic regression and also by analyzing frequencies of co-emergence of two signs with the Pearson chi-squared test (χ2) and Fisher exact test.Results    The DD-genotype of Ins>Del ACE gene polymorphism was correlated with increased PWV (p=0.006; odds ratio (OR) =3.41, 95 % confidence interval (CI): 1.48–8.67) and ED (p=0.014; OR=2.60, 95 % CI: 1.22–5.68). The GG genotype of с.894G>T NOS3 gene polymorphism was correlated with ED (p=0.0087; OR=2.65, 95 % CI: 1.26–5.72); the ТТ-genotype of с.894G>T NOS3 gene polymorphism was correlated with ASP (p=0.033; OR=0.034, 95 % CI: 0.001–0.549).Conclusion    Polymorphic variants of AСE and NOS3 genes correlated with ED, increased arterial wall stiffness, and the presence of subclinical changes in the arterial wall.