bluuebunny/crossref_metadata_2025 huggingface dataset:
MONITORING AND CONTROL OF NON-IONIZING RADIATION, AS A FACTOR OF THE LIVING ENVIRONMENT AND OF THE SITES, SOURCES OF NON-IONIZING RADIATION ON THE TERRITORY OF DOBRICH DISTRICT IN 2020.
Authors: Voynova N. , Valkanova N.
Published: September 2021

We know many natural sources that create electromagnetic energy such as solar radiation, storms and lightning, electromagnetic radiation from space objects. All this forms the natural electromagnetic background of the Earth. On the other hand, there is no technology, facility, product that uses electric current that does not emit any kind of electromagnetic radiation. 

Aim and tasks: Study of the sources of non-ionizing radiation on the territory of Dobrich district in 2020. Aim and tasks: Study of the sources of non-ionizing radiation on the territory of Dobrich district in 2020. 

Materials: Sites subject to monitoring according to the schedule for 2020. a total of 26 sites - base stations (BS) of the telecommunications network in Dobrich District. Technical means with which the measurements and method of control of RHI Varna were performed, antenna - isotropic, working frequency band 100 kHz to 3 GHz; uncertainty +/- 20% of the measured value. 

Methods: "Methodology for measurement and evaluation of the electromagnetic field in the vicinity of transmitting antennas to mobile communication systems"; Collection of methods for hygienic research; NCHMEH (current NCPHA), Volume IV, Settlement Environment. 

Results: From the total of 196 measurements performed in 2020. of exposed parts in areas with high population concentration at different distances to the EMF emitters, show that the lowest measured instantaneous value of power density is <0.1 μW / cm², and the highest - 0.8 μW / cm². In the premises of children's, educational, medical establishments and outdoors the lowest measured instantaneous value is <0.1 μW / cm² and the highest 1.7 μW / cm². 

Conclusions: 1. For 2020 the lowest measured instantaneous value is <0.1 μW / cm², and the highest 1.7 μW

/ cm², which is many times less than the MPC 10 μW / cm².2. of mobile operators do not pose a health risk to the population living and residing near them.
LOGIC OF SCIENTIFIC RESEARCH
Authors: Larina E.
Published: September 2021

The article provides a general description of the features of scientific research. It is noted that the research process must obey certain construction rules, i.e. logic. The article reveals the features of the main stages that a researcher goes through in the process of cognizing a particular phenomenon, process. The author agrees with the opinion of scientists that there is no universal logic of research, since each field of study is unique. A list of those components is put forward, without which the logic of research cannot exist.
QUASIS-CONCLUSION OF THE DISCOVERY ON RESEARCH AIRPORTS MVL: DEFECTS OF SCIENTIFIC CERTIFICATION
Authors: Leontyev R.
Published: September 2021

The article discusses violations of the official rules for their registration, established by the documents governing state scientific certification in the Russian Federation, inherent in the conclusion of the dissertation council on the study of airport management of local airlines in the Far Eastern region and in the certification case of the applicant.
The Russian pronoun TAM as a marker of anaphora to an argument
Authors: Letuchiy Alexander B.
Published: September 2021

The present article addresses a special use of the Russian locative pronoun tam: the use represented in examples like ‘I talked to her — no understanding of the situation there’. In those contexts, tam refers to a participant (usually animate), rather than a location. After a brief sketch of other uses, I describe the rules and restrictions on the ‘argument’ use of tam. Then, I analyze the role of this use in the Russian pronoun system and relations with the other uses of this pronoun. I propose that this use is mainly related to two others: collective tam (including its minimal variant, referring to a family / pair of humans) and situational, where tam refers to some situation. The function of the ‘argument’ use is demotion of the participant salience: contrary to on ‘he’, the ‘argument’ tam shows that the participant is not salient enough to be the main topic of the text or a part of the text and describes it simply as a location of some properties.
Russia and Brazil. Dialogue in the images and rhythms of ballet art at the beginning of the XXI century
Authors: Bogoliubova Natalia
Published: September 2021

The modern cultural dialogue between Russia and Brazil is being developed quite successfully and actively. One of the original areas of cooperation is the ties in the field of ballet art. In this study, based on the rich and varied material of sources and the latest publications on this topic, the authors attempted to show the role of choreographic ties in cultural cooperation between Russia and Brazil, to consider ballet as an instrument of “soft power” and an effective image-forming tool. The article shows the bilateral nature of the dialogue between Russia and Brazil at the beginning of the 21st century, identifies those important forms of professional cooperation in the field of ballet art that determine the modern nature of the possibility of a dialogue. Independent attention in this study is paid to the unique educational form of modern ties – Bolshoi Theatre ballet school in Joinville, which has already trained talented artists, the winners of international competitions and the laureates of prestigious choreographic awards. The article presents a qualitative analysis of the forms of choreographic cooperation and shows their role in the dialogue between the two countries.
The methodological approaches were formulated by the authors based on the set goal, taking into account the interdisciplinary nature of the stated topic – to consider the ties between Russia and Brazil in the field of choreographic art, as an important area of bilateral contacts, foreign cultural policy of the two countries and an instrument of “soft power”. The research methodology includes a comparative method, which made it possible to identify the general and the specific in the choreographic ties between Russia and Brazil at the present stage of cooperation, to note the dynamics of these ties. The descriptive approach provided an opportunity to consider and to describe the events (competitions, tours, joint projects) that united Russia and Brazil in the field of choreographic art at the beginning of the 21st century, and which are an original form of choreographic collaboration. The biographical approach allowed recreating the biographies of ballet dancers – participants in the dialogue. We applied such general scientific methods as analysis and synthesis in our work.
Ruská pravoslavná církev a ochrana křesťanů jako směr zahraniční politiky
Authors: Avanesova Maria
Published: September 2021

The Russian Orthodox Church has become a significant actor in Russia after the fall of the Soviet Union. This text is dedicated to its role in Russiaʼs foreign policy, specifically to the topic of the Russian interest in problems and protection of Christians, which is one of the most essential parts of the cooperation between the state and the Church. Analyzing primary sources (state and Church documents), the author shows when and under what circumstances this topic became relevant to both actors, what role the Russian Orthodox Church played in this regard and how the topic of protecting Christians is used by the Russian regime today. The study shows that the interest in protection of Christians did not arise simultaneously on both sides and that it is connected mainly with situations where a threat for Christians is posed by unfriendly actors.
Implementing a Successful NDT Education Program: Planning, Design, Resources, Curriculum, and Evaluation
Authors: Clifford Tracie
Published: September 2021

Implementing a new program is often the most challenging stage of an education organization. The seasoned project manager or entrepreneur knows the maintenance of a program, process evaluation, and prioritizing actions into the next phase of planning are the signs of a robust program. This is the same process for the implementation and maintenance of a nondestructive testing (NDT) program. This paper will focus on the critical considerations for the design, implementation, and maintenance of an NDT program in community colleges. In addition, the paper will describe the measures needed to assess the program’s effectiveness and the student learning outcomes for technicians.
Mask Detection and Tracing System
Authors: Shete Sanket , Tingre Kiran , Panchal Ajay , Tapse Vaibhav , Vyas Prof. Bhagyashri
Published: September 2021

Covid19 has given a new identity for wearing a mask. It is meaningful when these masked faces are detected accurately and efficiently. As a unique face detection task, face mask detection is much more difficult because of extreme occlusions which leads to the loss of face details. Besides, there is almost no existing large-scale accurately labelled masked face dataset, which increase the difficulty of face mask detection. The system encourages to use CNN-based deep learning algorithms which has done vast progress towards researches in face detection In this paper, we propose novel CNN-based method which is formed of three convolutional neural networks to detect face mask. Besides, because of the shortage of face masked training samples, we propose a new dataset called” face mask dataset” to finetune our CNN models. We evaluate our proposed face mask detection algorithm on the face mask testing set, and it achieves satisfactory performance
Teaching and Learning Mode Reform in Digital Image Processing by Using Color Model
Authors: Yesmin Tahamina
Published: September 2021

The traditional teaching mode of the digital image processing, which is centered on teachers, textbooks and classrooms, hinders the requirements of the image technology development and impedes the cultivation of the innovative talents. Though the digital image processing is one of the emerging technologies, it has been rapidly developed and widely used in the electronic information technology. In order to adapt to its development, this paper has explored the teaching and practice reform on the digital image processing by different color mode and to improve the understanding of students as well as teacher by clustered image which will enhance the core idea of a particular image by exploring all the colors present in every part of image. Students can better gain their knowledge skill by observing those images in colored clustered form.
Phishing Website Detection Using ML
Authors: K Nikhil , S Dr. Rajesh D , Raghavan Dhanush
Published: September 2021

Phishing is one kind of cyber-attack , it is a most dangerous and common attack to retrieve personal information, account details, credit card credentials, organizational details or password of a client to conduct transactions. Phishing websites seem to like the relevant ones and it is difficult to differentiate among those websites. It is one of the most threatening that every individuals and organization faced. URLs are known as web sites are by which users locate information on the internet. The review creates warning of phishing attacks, detection of phishing attacks and motivate the practice of phishing prevention among the readers. With the huge number of phishing emails or messages received now days, companies or individuals are not able to find all of them.
Analysing Customer Buying Habits with Visual Data Mining
Authors: Apparaju Anusha
Published: September 2021

The ultimate aim of every industry and organization is to make profits by attracting a greater number of customers. To to achieve this motto they need to analyze the priorities of the customer. This is usually done by doing marketing everywhere such as in social media, newspaper, sites, etc. The marketers keep advertising at many sites without even knowing whether the advertisement is useful at that platform or not. Hence, making such huge investments in advertisements at wrong platforms will lead to less profits. There is a need for the companies to provide customer services in such a way that the customer doesn’t lose his interest and trust and must maintain a healthy relationship. If such services are provided equally to every customer, then there is a possibility that the company might provide its service to those customers who bring low profits and keep the customers who make high profits in waiting. To avoid such discrepancies, categorization of customers can be done based on their priority. This can be achieved using the Clustering technique, k-means algorithm. Since the customer data is unsupervised, k-means helps us to cluster them. If we use supervised data, then prediction of new customer’s priority can also be done using K nearest neighbors’ algorithm. The exploration of deep insights of data using exploratory data analysis makes it easy to understand data using visual representations [3][4][6]. These visual representations also lead to less time consumption for exploratory data analysis.
Unmanned Aerial Vehicle Forensic Investigation Process : Dji Phantom 4 Drone as A Case Study
Authors: Pathania A. , Gangwar D. P. , Shivanshu  , Poonam  , Arpita
Published: September 2021

A drone, technological term Unmanned aerial vehicle (UAV), means any aircraft operating or designed to operate autonomously or to be piloted remotely without a pilot on board. Essentially, a drone is a flying robot that can be remotely controlled or fly autonomously through software-controlled flight plans in their embedded systems, working in conjunction with onboard sensors and GPS. The easy accessibility to everyone led to an increase in drone crime. Criminals are using drones in many malicious activities worldwide due to the drones’ ability to offer live-stream, real-time video, and image capture, along with the ability to fly and transport goods. Terrorist groups are using aerial drones to conduct and coordinate attacks. Forensic laboratories have been receiving Drone cases throughout India. The drone has been built that can be operated by a radio frequency controller and send live audio-visual feedback. This paper aims to provide a case study of Drone, DJI Phantom 4 and presents the acquisition, examination, analysis of important artifacts recorded flight data and discuss some possible data extractions from its flash memory, GPS (navigator) & SD card.
Tracing of the Blackmailers in Sextortion Case and Tactics to Defend It - An Experimental Cybercrime Case Study
Authors: Rathod Sarthak , Gaur Madhav , Parihar Krishna , Kumar Akhlesh , Jain Dr. S. K.
Published: September 2021

Sextortion is a new form of cybercrime that is spreading very fast in India. Sextortion is such a type of incident where victims are very ashamed of sharing and talking. And that is why it becomes a very easy and suitable target for blackmailers. Innocent social media users are being trapped in Sextortion. Victims not only lose their money but also pride and respect in society especially family members and friends. The research paper has explored to understand the modus operandi of the blackmailers. The present study has attempted to trace blackmailers in a sextortion incident. The research paper has described the process of tracing the blackmailers online. The study analyzed the incident from a cybercrime detection and identification perspective. The research paper is also attempting to spread awareness by describing tactics to defend against cybercrimes such as sextortion.
Vegetable Price Prediction using ARIMA
Authors: T Sindhuja , Chawda Sakhi , Kailasam Parimala Kanaga Devan
Published: September 2021

Agriculture is the major occupation of India. The farmers who are the backbone of the country are suffering in utter poverty. This is because they are unaware of the facts that happen in the market. Thereby, they sell their crops at a price much lower than the actual cost. Analyzing data over a time period regularly will lead to various insights and conclusions. These insights can pave way to understand the prices better. Hence, this system suggests ARIMA approach to develop a forecast model and predict, by considering the seasonality in prices over a period of time.
Medicine Delivery Bot Using Time Series and Object Detection
Authors: Bajpai Kartikeya , Jain Prachi
Published: September 2021

Nowadays, delivery is mainly done by humans which includes a lot of manual work. The existing way is good but lacks faster deliveries. In the present context the deliveries are not possible 24*7 by humans, especially in the case of medicines, customers often require immediate deliveries for maintaining their course of medication. Since, in many other fields AI has contributed to decreasing a lot of manual work and time. In this research paper, we have proposed the idea of a delivery bot which uses deep learning algorithms to detect traffic lights and classify the color of the traffic light. On the basis of which the lapse time will be calculated in between the two traffic lights and hence maps the route for delivery with the help of geocoding accordingly which helps in more secure and faster deliveries.
An Real Time E Commerce application to Find Credit Card Fraud
Authors: G Yagnadatta  , Nitesh N  , Mohit S  , Padmini M S
Published: September 2021

Credit card fraud detection is one of the prominent problem in today's world. It is due to the extensive rise in both online and e-commerce transactions. The fraud happens when the users’ accessible card gets stolen from any unauthorized source or the use of credit card for fraudulent purposes. The present scenario is facing this kind of problem. So to detect the unethical activity, the credit card detection system was introduced. The main aim of this research is to focus on machine learning methods. So the algorithms used are unsupervised learning algorithms.
Enhanced Cuckoo Search Optimization and Hybrid Firefly Artificial Neural Network Algorithm for Cyberbullying Detection on Twitter Dataset
Authors: T. T. Sherly , Jeetha Dr. B. Rosiline
Published: September 2021

With the exponential increase of social media users, cyberbullying has been emerged as a form of bullying through electronic messages. Cyberbullying detection is generally in social networks like Twitter is one of the focussed research area. Cyberbullying is serious and widespread issues affecting increasingly more Internet users. Text mining tools are detecting cyber bullying and deal with several issues. However the existing system has issue with time consumption and inaccurate Cyberbullying detection results for the given Twitter dataset. To avoid the above mentioned issues, in this work, Enhanced Cuckoo Search optimization (ECSO) and Hybrid Firefly Artificial Neural Network (HFANN) algorithm is proposed. The proposed system contains three main phases are such as preprocessing, feature subset selection and classification. The preprocessing is done by using k-means algorithm for reducing the noise data from the given Twitter dataset. It handles the missing features and redundancy features through k-means centroid values and min max normalization respectively. It is used to increase the classification accuracy more effectively. The pre-processed features are taken into feature selection process for obtaining more informative features from the Twitter dataset. It is performed by using ECSO algorithm and the objective function is used to compute the relevant and important feature based on the best fitness values. Then the HFANN algorithm is applied for classification through training and testing model. It classifies the features more accurately using best fireflies rather than the previous algorithms. The experimental result proves that the proposed ECSO+HFANN algorithm provides better classification performance in terms of lower time complexity, higher precision, recall, f-measure and accuracy than the existing algorithms.
Traffic Analysis Using Artificial Neural Network
Authors: B Mounica , S Nithya B , N Rakshitha , M Sirisha
Published: September 2021

The vehicle traffic on the road is increasing progressively and managing such traffic on the roads are not stable by conventional method. To remove this traffic issue, we develop a project using machine learning in which we train the testing model as well as trained model of extracted traffic features. Extracted information from image sequences of testing model can give us real information to create the database which is the captured images like accident, foggy places, collision of the vehicles, traffic signal, no traffic jam, treefall etc. Choose any traffic image from the testing model, process and analyze the traffic image and the traffic image which was taken from the testing model is compared with the trained model of traffic images to determine the cause of the traffic. Image processing will be done to determine the cause of the traffic. This project is utilizing image processing methods designed to analyze and determine the cause of the traffic with the accuracy of the traffic caused. Thus, by using this project we can avoid the traffic and the time being wasted.
Various Methods for Measurement of Resistive Leakage Current of Metal Oxide Surge Arrester
Authors: Shaha Prof. Samruddhi , Dakhani Yaseen Khan Anwar Khan
Published: September 2021

Metal Oxide Surge Arrester (MOSA) does not require any ordinary maintenance. But MOSA is get affected from ageing due to the effect of discharging impulse currents, uneven heating and internal partial discharges. A leading cause of deterioration is ingress of moisture. The degradation of MOSA also correlated with the ageing level of the arrester. This is called degradation under surge. The ageing level with the degradation of MO surge arrester or the leakage current of the surge arrester is related to each other. The leakage current is directly proportional to the ageing level. If the ageing level is raise, the leakage current also will increase. So, various methods for determination of the condition of ZnO surge arrester by means of measurement of the arrester leakage current are discussed. A MSCM method, which is based on leakage current of the surge arrester presented. The measuring instrument Leakage Current Monitor is also discussed.
Electric Vehicle Charging Station
Authors: Joshi Aashish , Somaiya K M Vishall , Hariram Arni Tharakaram , Hussain Mubashir
Published: September 2021

The primary reason why people don't prefer electric vehicles is because of the unavailability of charging stations. Charging stations, unlike petrol bunks, aren't available everywhere. There always exists a fear as to what might happen if the vehicle runs out of battery. People are worried about more straightforward and faster commuting methods in our country rather than saving the Earth from the ill effects caused by pollution. The project mainly deals with a simple solution to make charging stations more accessible. The solution involves using public electricity and solar panels for the easy and hassle-free charging of Electric Vehicles. This project consists of a scaled down prototype.
A Study of Class Interaction Analysis Using Flanders's FIAC
Authors: Sharma Mukesh , Tiwari Prof. Nilabh
Published: September 2021

Interaction Analysis is a technique for capturing quantitative and qualitative dimensions of teacher verbal behaviour in the classroom. As an observational system, it captures the verbal behaviour of teachers and students that is directly related to the social – emotional climate of the classroom. Interaction Analysis is a tool used in the classroom to capture quantitative and qualitative aspects of verbal instructor behaviour. It captures the verbal behaviour of teachers and students as an observational device that is directly linked to the social-emotional environment of the classroom. Interaction Analysis (IA) theoretical assumptions are that verbal contact is prevalent in a typical classroom situation; the teacher exerts a great deal of control on the student and the behavior of the student is influenced to a great extent by this form of teacher behavior seen. The ten-category structure of Flanders, which aims to categories all the verbal actions to be found in this paper. The aim is to promote the implementation of FIAC in the educational process in schools, as the quantity and consistency of teacher-student interaction is a vital element of effective teaching and improved learning in the classroom.
Security For Autonomous Vehicle Using Face Recognition for Smart Environment
Authors: Chauhan Kartik , Mishra Pravin Kr
Published: September 2021

As we as a whole realize that self-sufficient vehicle growing increasingly more step by step and by fostering the innovation the security issue is that the principle concern with respect to self-ruling vehicles. When a self-ruling vehicle is designed to assemble and store client logs, AI enters the picture to distinguish any irregularities. An assault identification model might be a spot equipped for discovering a signs and fix information got from the skin world through a web organization or ports inside the vehicle. These calculations is wont to identify unusual exercises, correspondence conduct, or undesirable orders like enact the leaving mode while the vehicle is on a street. In this paper, I examine about the ensure of keen vehicle. In which I utilized face acknowledgment calculation utilizing haa rcsacade classifier. we acclimated store the data of different clients or who can go into the vehicle .so that we guarantee about the one that need to go into the vehicle .so that in a specific case, we've all the connected data with respect to the individual .it can keep away from the instance of unapproved access and undesirable vehicles control and In future it will be more worry about the insurance of self-governing vehicle.
IoT Based Smart Intruder Detection System For Smart Homes
Authors: Vijayaprabakaran K. , Kodidela Priyanka , Gurram Parinitha
Published: September 2021

The intruder detection system is targeted for the private areas, restricted areas and for the domestic home applications to notify the entrance of the intruder or any person to the specified areas. The intruder detection system eliminates the theft and entrance of the persons to the restricted areas by notifying the owner or the gardener through the registered application when the system detects an intruder in the locality. In this work an IoT based intruder detection system named Smart-IDS is proposed to avoid the entrance of the person without any special workforce for the target location. The proposed Smart-IDS detects the intruder using the Node MCU and Ultrasonic sensor and the cloud based Blynk application is employed to send the alert notification to the user. The experiments with the proposed Smart-IDS has performed more efficiently.
Hybrid Heart Disease Prediction Supervised, Unsupervised Opinion Mining Algorithms
Authors: Kale Miss. Samiksha Arvind , Gadicha Prof. Dr A .B .
Published: September 2021

Heart plays significant role in living organisms. Diagnosis and prediction of heart related diseases requires more precision, perfection and correctness because slightly mistake can cause fatigue problem or death of the person, there are numerous death cases related to heart and their counting is increasing exponentially day by day. To affect the matter there's essential need of prediction system for awareness about diseases Machine learning is that the branch of AI (AI), it provides prestigious support in predicting any quite event which take training from natural events. During this paper, we calculate accuracy of machine learning algorithms for predicting heart condition, for this algorithms are k-nearest neighbor, decision tree, linear regression and support vector machine (SVM) by using UCI repository dataset for training and testing. For implementation of Python programming Anaconda (jupytor) notebook is best tool, which have many kind of library, header file, that make the work more accurate and precise.
Modern Developments of Nano Based Drug Delivery System by Combined with Phytochemicals- Presenting New Aspects
Authors: Nath Ranajit , Roy Ratna , Barai Gourav , Bairagi Shishir , Manna Supratip , Chakraborty Rajarshi
Published: September 2021

Nanomedicine are a relatively new but quickly expanding discipline in which tiny materials are used as diagnostic instruments or to administer therapeutic drugs to particular targets in a controlled manner. Nanotechnology provides a number of advantages in the treatment of chronic human diseases by allowing precise medications to be delivered to particular locations. There have been several notable uses of nanomedicine (chemotherapeutic agents, biological agents, immunotherapeutic agents, etc.) in the treatment of various illnesses in recent years. Neverthless, In current scenario there are phytochemicals are also present whom are responsible for prevention of devastating diseases. In this review it has been highlighted that there are real possible outcomes present, in the case of the combined treatment strategies of phytochemicals and nanoparticles. Eventually, this combined drug delivery system play crucial role in anti-cancer, anti-alzehimar, anti-bacterial and many more complicated maladies. We also focused on the preclinical and clinical study regarding the drug delivery system. Here, the types of phytochemicals along with their bioavilability also mentioned. Additionally, the Nanomedicines' advantages and disadvantages in drug delivery from synthetic to natural sources to clinical applications are also explored. In addition, we've added information about nanomedicine's developments by attaching with phytochemicals with respect to the diseases and future prospects.
Improved Dragonfly Algorithm with Neighbourhood Structures
Authors: Rajalakshmi S. , Kanmani S. , Saraswathi S.
Published: September 2021

Dragonfly algorithm is a recently proposed optimization algorithm inspired on the static and dynamic swarming behaviour of dragonflies. Because of its simplicity and effectiveness, DA has received interest of specialists from various fields. Premature convergence and local optima is an issue in Dragonfly Algorithm. Improved Dragonfly Algorithm with Neighbourhood Structures (IDANS) is proposed to overcome this drawback. Dragonfly Algorithm with Neighborhood structures utilizes candidate solutions in an iterative and intuitive process to discover promising areas in a search space. IDANS is then initialized with best value of dragonfly algorithm to further explore the search space. In order to improve the efficiency of IDANS, Neighbourhood structures such as Euclidean, Manhattan and Chebyshev are chosen to implement these structures on IDANS to obtain best results. The proposed method avoids local optima to achieve global optimal solutions. The Efficiency of the IDANS is validated by testing on benchmark functions and classical engineering problem called Gear train design problem. A comparative performance analysis between IDANS and other powerful optimization algorithms have been carried out and the results shows that IDANS gives better performance than Dragonfly algorithm. Moreover it gives competitive results in terms of convergence and accuracy when compared with other algorithms in the literature.
Study on Big Data Frameworks
Authors: Fernandes Adriano , Barretto Jonathan , Fernandes Jonas
Published: September 2021

Big data analytics is becoming more and more popular every day as a tool for evaluating large volumes of data on demand. Apache Hadoop, Spark, Storm, and Flink are four of the most widely used big data processing frameworks. Although all four architectures support big data analysis, they vary in how they are used and the infrastructure that supports it. This paper defines a general collection of main performance metrics, which include Processing Time, CPU Use, Latency, Execution Time, Performance, Scalability, and Fault-tolerance, and contrasting the four big data architectures against these KPIs in a literature review. When compared to Apache Hadoop and Apache Storm frameworks for non-real-time results, Spark was found to be the winner over multiple KPIs, including processing time, CPU usage, Latency, Execution time, and Scalability. In terms of processing time, CPU consumption, latency, execution time, and performance, Flink surpassed Apache Spark and Apache Storm architectures.
The Effect of Knowledge Sharing and Benefits on Sharing Intentions Through Social Interaction in Social Media Groups
Authors: Haryanti Dwi Asih , Margianti E. S. , Prihantoro Edy , Ohorella Noviawan Rasyid
Published: September 2021

The purpose of this study is to analyze the effect of social interaction on the benefits of sharing knowledge, the effect of expected benefits on sharing knowledge, the effect of expected benefits on the benefits of social media groups, the effect of social interaction on the benefits of social media groups, the effect of knowledge sharing on the benefits of social media groups, the effect of sharing knowledge on intentions. sustainable knowledge sharing, and the effect of the benefits of social media groups on the intention of sustainable knowledge sharing. The sample in this study was 308 respondents consisting of high school/vocational students and D3/S1 students in the Jabodetabek area. Data processing for descriptive statistics and regression using SPSS and Amos software tools. The results of this study that social interaction affects knowledge sharing, expectations of benefits have no effect on sharing knowledge, expectations of benefits affect the benefits of social media groups, social interactions affect the benefits of social media groups, knowledge sharing affects the benefits of social media groups, knowledge sharing has no effect on intention to share knowledge on an ongoing basis, the benefits of social media groups affect the intention to share knowledge on an ongoing basis.
Ensiled Fruit Peels of Pineapple (Ananas comosus) and Papaya (Carica papaya) as an Animal Feed
Authors:   Department of Animal and Food Sciences, Faculty of Agriculture, Rajarata University of Sri Lanka, Sri Lanka, S Wimalasiri , S.C Somasiri ,   Department of Animal and Food Sciences, Faculty of Agriculture, Rajarata University of Sri Lanka, Sri Lanka
Published: September 2021

One of the major issues for the development of the livestock sector in Sri Lanka is the unavailability of quality animal feeds. Thus, this study was carried out to prepare value-added silages using fruit peels for feeding livestock. Silage has been prepared using pineapple (Ananas comosus) and papaya (Carica papaya) fruit peels obtained from a fruit processing factory in Sri Lanka. Ensiling was done either in fruit peels only or in different combinations of fruit peels and chopped Hybrid Napier (CO-3 Pennisetum perpureum × Pennisetum americarnum) grass. The experimental design was a completely Randomized Design having ten treatments (T1 to T10) with two replicates per each. The treatments were T1 Papaya 100%, T2 Pineapple 100%, T3 Grass 100 %, T4 Pineapple 75%+ Papaya 25%, T5 Pineapple 50%+ Papaya 50%, T6 Pineapple 25%+ Papaya 75%, T7 Pineapple 20%+Papaya 70%+ Grass 10%, T8 Pineapple 30%+ Papaya 50%+ Grass 20%, T9 Pineapple 70%+ Papaya 20%+ Grass 10%, and T10 Pineapple 50%+ Papaya 30%+ Grass 20%. The fruit peels and grass were dried under shade, chopped, and mixed according to the different treatments. After 21days, representative silage samples from each treatment were analyzed for nutrient content, colour, odour, pH, and Ammonium Nitrogen (NH3N) content. The colour of all silages ranged from olive green to orange. All the treatments had a fruity smell. The pH values ranged from 3.41 to 4.04 in all treatments. The highest (p<0.05) crude protein (CP) content was in T3, and the lowest (p<0.05) was observed in T4 and T5. The highest (p<0.05) acid detergent fibre (ADF) contents were in T3, T8, and T10, and the lowest (p<0.05) was in T5 and T6. The highest (p<0.05) neutral detergent fibre (NDF) content was in T9 (44.00±0.02%) and the lowest (p<0.05) in T2. The NH3N was not present in any of the treatments. Based on CP, ADF, and NDF contents, T1, T7, T8, T9, and T10 were selected for further studies with animals to select the best treatment.
Occupational Health Hazards of Women in Agriculture - A Study on Bargarh District of Odisha
Authors:   Ph.D. Scholar, P.G. Department of Home Science, Sambalpur University, India, S Sahu , C Lenka ,   Reader & Head in Home Science, P.G. Department of Home Science, Sambalpur University, India
Published: September 2021

The woman is the backbone of the agricultural workforce but worldwide, her hard work has mostly been unpaid. The objective of the study was to find the common occupational health hazards in women agricultural workers and their effects and to find out the protective measures used by agricultural workers for the prevention of occupational health hazards. The present study was based on 110 samples of three villages of Bhatli Block in Bargarh District in the period of 2018-2019. The results revealed that physical hazards such as body pain (86.36%) and fatigues (83.63%) were most common in all agricultural activities. The majority of respondents (77.24%) had mechanical hazards, i.e. injury occur due to farm tools and machinery. Chemical hazards like skin problems affected 39.09% of workers, and environmental hazards such as air-borne allergies (32.72%), poisonous organism bites (21.81%) were found common among the respondents, and no association was found between their socio-economic levels in the relevance of occupational health hazard. The agricultural workers were usually careless towards the prevention of occupational hazards.
Four Injection–Single Detector Merging Zone Continues Flow Injection Analysis for Determination of Ascorbic Acid in Bell and Chili Peppers
Authors:   Department of Chemistry, College of Science, University of Baghdad, Jadriyah, Iraq, Y.H Muhamad , S.B Al-Badri ,   Department of Chemistry, College of Science, University of Baghdad, Jadriyah, Iraq
Published: September 2021

Vitamin C can improve the immune system and cause chronic inflammatory diseases. A significant proportion of ascorbic acid can be obtained from fruits, vegetables, and food products. The selection of bell and chili pepper samples was made according to increasing use at the present time due to Coronavirus in 2019 and 2020. This paper deals with a merging zone (MZ based on four-hand mead injection/single detection using a spectrophotometer. Merging zone (MZ) systems resulting from different reactions via flow injection analysis (FIJ) would be beneficial for identifying the simultaneous reaction faster and at a lower cost. Specifically, the MZ area and ferroin complex resulting from the reaction between Fe (III), ascorbic acid (AA), and 1,10-Phenanthroline under acetic acid conditions. The system of the MZ system was modelled under continuous FIJ and determination of AA. The method performed AA at a range of (110-3 - 3210-3L), with a correlation coefficient of 0.9822 and DL 12.5ng. The obtained results from bell and chili peppers show excellent agreement with the results from the SCI ̈O analysis.
Determine the Tomatoes Volume
Authors:   Department of Agricultural Machines and Equipment, College of Agricultural Engineering Sciences,  University of Baghdad, Iraq, S.B.S AL-Badri
Published: September 2021

The aim of this research is to obtain a quick and low-cost method for measuring the volume of tomatoes for small farmers, which have limited access to new technology. This measurement will help in grading, packaging size, and transportation costs. Weight loss of the tomatoes relates to their shelf life, which is between 5-7%; within this range, the tomatoes are still edible. This research attempted to find a relationship based on the volume of tomatoes in an elliptical spheroid using the water displacement method. The samples included 15 tomatoes chosen randomly and weighed, and then the height and width were measured. Tomatoes weight in water and water high with tomatoes were measured and then the different calculated, which represented the volume. The results illustrated that the linear regression model explained 80% of the data. The tomato shapes may help in the weight loss and firmness of tomatoes during storage for further studies.
Linfangitis nodular por Nocardia asteroides tras pinchazo con un cactus
Authors: Jiménez-Guerra Gemma
Published: September 2021

Presentamos un caso de infección cutánea con progresión a linfangitis nodular causada por Nocardia asteroides en un paciente inmunocompetente tras traumatismo accidental con la púa de un cactus, que requirió ingreso para manejo terapéutico por ausencia de mejoría con tratamiento conservador y antibioterapia con amoxicilina/ácido clavulánico. Previo al ingreso presentaba datos analíticos de infección invasiva. El tratamiento se realizó mediante desbridamiento quirúrgico y tratamiento prolongado con trimetoprim/ sulfametoxazol durante 3 meses. Tras esto, el paciente se recuperó totalmente.
Corea como manifestación inicial de una trombocitosis esencial
Authors: Solé-Sabater Miguel , García-Silvera Diego , Solé-Violán Carlos Enrique , Ríos-de-Paz Mario
Published: September 2021

La corea es un síndrome extrapiramidal hipercinético. El diagnóstico diferencial es muy amplio e incluye diversos trastornos hereditarios y adquiridos. Presentamos el caso de un varón de 68 años que acudió a Urgencias por movimientos orolinguales, cervicales y de las extremidades, no estereotipados ni voluntarios. Se descartaron las causas más frecuentes de corea. No obstante, se descubrió una trombocitosis persistente en los hemogramas previos. Las pruebas genéticas demostrarían una mutación JAK-2-V617F. Las enfermedades mieloproliferativas son una causa poco conocida de corea. La evolución clínica suele ser favorable si se trata el trastorno hematológico de base.
Accessible Learning Management Systems: Students’ Experiences and Insights
Authors: KAROVSKA RISTOVSKA Aleksandra , RASHIKJ-CANEVSKA Olivera , TASEVSKA Alma , BRUZIENE Ruta , ORECHOVA Monika , PAIVA DIAS Gonçalo , BRITO Elisabeth , HAUBRO Henrik
Published: September 2021

Learning Management System (LMS) is a type of an e-learning system is one of the main infrastructural requirements that improves access to higher education for persons with disabilities.
The primary aim of the research study[1] was to explore perceptions of students with disabilities regarding the use and accessibility of learning management systems and benefits and/or barriers in e-learning.
Students mainly have negative experiences while attempting to enter university web-sites/libraries/LMSs because of the inadequate adaptation to the specific needs of students with disabilities. In countries that do not have a developed LMS, the prevalent mean of communication with professors is via e-mail, in those where there is a LMS, there is not a fully accessibility of entire content and services for students with special needs.
This research defined the need for creation of an accessible LMS or adjusted already existing LMS with accessibility solutions such as: a text-to-speech engine for blind students, a mode with sign language support for deaf students and a mode which supports dyslexic.
FLOOD CONTROL OF LAMONG RIVER, GRESIK DISTRICT
Authors: UPNJATIM CI-TECH , R Oktaviani Dinda , Wahjudijanto Iwan , Trilita Minarni Nur
Published: September 2021

Lamong River is located in East Java Province. The discharge of the Lamong River tends to be large, but it cannot be drained properly, so that the river overflows and causes Gresik Regency to experience flooding almost every year.

The existing condition of the Lamong River is not able to accommodate the flood discharge. Therefore, it is planned to build a polder in the flood-prone areas of the Lamong River to accommodate the discharge that occurs. Polder on the Lamong River is planned with an entry discharge into the retention pool of 85% using a pump with a suction capacity of 5 m3 / s and 3 m3 / s. The dimensions of the Polder pond used in pond I are 530 m long, 530 m wide, 8 m deep, II pool size 540 m long, 540 m wide, 8 m deep, pool size III is 550 m long, 550 m wide, depth 8.5 m, the size of pool IV is 580 m long, 580 m wide, 9 m deep, for V pool size is 600 m long, 600 m wide, 9 m deep, and for pool VI size is 600 m long, 600 m wide m, 9 m depth. Each pool has 3 sluice gates with a size of 2 m per door with a door opening height of 1.32 m and a drain dimension of 3 m long, a channel width of 8 m, and a channel height of 3.46 m.
ASPHALT CHARACTERISTICS OF CONCRETE ASPHALT MIXED TO REDUCE EARLY DAMAGE IN FLEXIBLE PAVEMENT
Authors: Sholichin Ibnu , Iwan Wahyudiyanto  , A.E. Putra
Published: September 2021

Pavement roads in Indonesia often suffer premature damage. Efforts to overcome road damage need to be done by using pavement materials suitable for the climate in Indonesia. This research discusses the comparison of Pertamina asphalt 60/70 and Shell asphalt 60/70 in the concrete asphalt mixture. The variation of the bitumen content used in this study was 4%, 4.5%, 5%, 5.5%. From the test results, it can be concluded that Shell asphalt 60/70 penetration is relatively better in terms of the considerable penetration value, softening point, stability value, flow, and Marshall Quotient, which are higher than Pertamina's 60/70 penetration asphalt.
Money Supply and Economic Activities in Malaysia
Authors: Hakimi Suid Muhamad Lokman
Published: September 2021

This study examined how economic activities affect the direction of money supply in Malaysia. The overnight policy rate is the interest rate set by Bank Negara Malaysia (BNM) as its monetary policy tool. Based on the Keynesian Economic Theory, the autoregressive distributed lag (ARDL) model was applied to analyse how the industrial production index, interest rate and consumer price index influenced money supply. The findings of this study supported the notion that economic growth significantly affected the money supply in the short run. There was no evidence of such a relationship in the long run. Maintaining a stable money supply is vital to limit adverse variations in economic activity. A stable money supply allows Malaysia to respond effectively during difficult times, especially the current covid19 pandemic.
Osteopathic considerations in pneumonia
Authors: Celebi Taner , Muller Jeffrey , Terzella Michael
Published: September 2021

Pneumonia contributed to nearly 3 million deaths worldwide in 2016 and 56,000 deaths in the United States alone in 2017, and as such, it is imperative for physicians to understand the causes, subtypes, associated risk factors and treatment options. This article will address each of these, as well as special consideration for the osteopathic approach to care.
Pengendalian Demam Berdarah Dengue (DBD) Berbasis Masyarakat di Indonesia: Systematic Review
Authors: Widyantoro Wahyu , Nurjazuli Nurjazuli , Hanani Yusniar
Published: September 2021

Demam berdarah dengue (DBD) masih menjadi maslah kesehatan di Indonesia. Berbagai program telah dilaksanakan oleh pemerintah untuk menanggulangi DBD. Pelibatan masyarakat dalam pengendalian menjadi penting dalam upaya pengendalian DBD. Kajian sistematis ini bertujuan untuk mengetahui pelibatan komunitas dalam  intervensi pengendalain DBD di Indonesia. Metode dalam penelitian ini adalah systematic review dengan menggunakan metode PRISMA. Kami melakukan pencarian literatur empat data base elektronik : Google Scholar, PubMed, Web of Science, Scopus dengan data open access dari tahun 2015 hingga 2020. Artikel dipilih berdasarkan kriteria inklusi community dengue control, engangment dengue control, sosial capital dengue control dan didapatkan 5 artikel yang sesuai untuk dikaji. Penelitian ini menggunakan metode studi pustaka dengan menggunakan data penelitian dengan topik yang sama sebagai data sekunder. Pelibatan komunitas menjadi bagian keberhasilan dalam pengendalian DBD di Indonesia.hasil intervensi meliputi pengetahuan, sikap dan praktik di komunitas; partisipasi masyarakat; modal social dan pemberdayaan masyrakat mampu menurunkan parameter terhadap kejadian maupun kasus DBD. Keberhasilan pelibatan komunitas dalam pengendalian DBD di Indonesia perlu adanya program keberlanjutan dan kesinambungan.