bluuebunny/crossref_metadata_2025 huggingface dataset:
Behaviorismo Radical e Paternalismo Libertário
Authors: Magalhães Tiago de Oliveira
Published: September 2021

Tanto behavioristas radicais quando paternalistas libertários propõem que o conhecimento científico sobre o comportamento humano seja utilizado para modificar práticas culturais. Contudo, a ideia de planejamento cultural de Skinner não obteve o mesmo sucesso que os nudges de Thaler e Sustein alcançaram nos últimos anos. O objetivo desse artigo é realizar uma comparação dessas duas propostas, tendo em vista, principalmente, as concepções epistemológicas a elas subjacentes. Uma das principais diferenças observadas diz respeito ao modo como os autores concebem as relações entre pesquisa básica e aplicação. Esse fator parece ser relevante para explicar os diferentes níveis de impacto social obtidos por cada proposta, mas não são suficientes. É necessário levar em consideração, também, que o modelo de intervenção de Thaler e Sustein conseguem produzir efeitos em grupos maiores e com menor esforço que o requerido pelo tipo de intervenção idealizado por Skinner.
DEVELOPMENT OF DIRECTIONS FOR IMPROVING THE PORT'S COMPETITIVENESS
Authors: BELOUS KATERYNA , MAYOROVA IRYNA
Published: September 2021

Topically. In the context of the globalization of the global economy, competition between countries, enterprises and their associations is becoming increasingly fierce. In this regard, the issue of competitiveness becomes particularly relevant. The country's economy operates in conditions of unlimited competition, so national enterprises must constantly adapt to these conditions. Modern ports are the hubs of any economy. In the face of fierce international competition, improving their competitiveness is a strategic task. The competitiveness of an enterprise is its potential, capabilities, and flexibility in adapting to market relations.
Aim and tasks. The main purpose of the article is to study the theoretical provisions of competitiveness and develop methodological recommendations for improving the efficiency of competitiveness management at enterprises, in particular the port industry.
Research results. This article considers the concept of "competitiveness", as the ability to carry out their activities in the conditions of market relations and at the same time receive a profit sufficient for scientific and technical improvement of production, stimulating employees and maintaining products at a high level of quality. Various types, functions, classifications, security levels and methods for assessing the competitiveness of an enterprise are presented. Factors influencing not only the competition of enterprises in general, but also the port industry at the macro and micro levels were considered.
Conclusion. The article identifies ways to increase the competitiveness of the enterprise: improving the quality of products, reducing prices for services and goods, introducing innovations and new technologies, searching for new opportunities. Special attention is paid to improving the competitiveness of Port industry enterprises and finding ways to improve it. One of the most effective tools for improving competitiveness of ports is the use of modern marketing tools.
DEVELOPMENT OF TECHNOLOGY FOR LOW-TONNAGE PRODUCTION OF VINYL ACETYLENE ON THE BASIS OF 1,3-DICHLORBUT-2-ENE
Authors: Hasratyan A. , Danagulyan G. , Attaryan H.
Published: September 2021

The process of dehydrochlorination of 1,3-dichlorobut-2-ene using caustic potassium in ethylene glycol has been studied, and a technological scheme for the production of vinyl acetylene has been proposed. It is noted that during the process of dehydrochlorination of 1,3-dichlorobut-2-ene, in addition to vinyl acetylene, acetylene homologues are also formed, which are easily separated from commercial vinyl acetylene. Composition and percentage of the formed acetylene homologues has been determined.

In addition to chloroprene, three more compounds were separated and identified as by-products formed during the dehydrochlorination of 1,3-dichlorobut-2-ene – 3-(chloro-1-[3-chlorobut-2-en-1-yl]oxy)but-2-en, 1-(but-2-yn1-yloxy)-3-chlorobut-2-ene and 1-(but-2-ynyloxy)but-2-yne.
PHYTONEMATODES OF GRAPE AGROCENOSES IN THE SOUTH OF UZBEKISTAN
Authors: Bobokeldieva L.
Published: September 2021

Ecological and faunal complex of phytonematoids found in root and pre-root soils of vine agrocenoses of Surkhandarya region of the southern regions of the Republic of Uzbekistan was studied, as well as their density in individuals in the population and its impact on plants were scientifically analyzed.
CLINICAL PECULIARITIES OF BACTERIAL KERATITIS IN TYPE 1 DIABETIC PATIENTS
Authors: Olesia Z.
Published: September 2021

The purpose was to define the clinical peculiarities of bacterial keratitis in patients with type 1 diabetes mellitus (DM1) at visit 1. 

Methods. We retrospectively reviewed the results of 62 DM1 patients (62 eyes) with bacterial keratitis and 43 nondiabetic patients (43 eyes) with bacterial keratitis of the control group who were referred for visit 1 (before administering the treatment). Research methods were as follows: visual acuity, tonometry, slit-lamp biomicroscopy of anterior and posterior eye segments, bacteriological studies, fluorescein dye test, anterior eye OCT and non-contact corneal esthesiometry. 

Results. Compared to nondiabetic, DM1 patients with bacterial keratitis showed higher degree of inflammatory reaction in the anterior chamber of the eye at visit 1 (p<0.05) as well as 28.8% lower mean corneal sensitivity threshold (p<0.05). At visit 1, the degree of decreasing of corneal sensitivity in DM1 patients with bacterial keratitis was higher than in control group (p<0.05). Localization of bacterial keratitis, the degree of pericorneal injection, corneal ulcer defect size and depth, corneal infiltration as well as edema of the corneal tissue surrounding the ulcer did not depend on the presence of diabetes mellitus (р>0,05) at visit 1.

Conclusions. There are clinical peculiarities of bacterial keratitis in patients with type 1 diabetes mellitus at visit 1.
ORGANIZATION OF RISK-MANAGEMENT IN EQUINOR ASA
Authors: Degtyareva O.
Published: September 2021

The article reveals modern approaches to enterprise risk management based on the introduction of ERM (enterprise risk management) system, aimed at the integration of all types of risks in the company's strategy and the transition from protection from negative situations to the concept of risk appetite. The special importance of risk management for oil and gas companies in the conditions of global instability and high price volatility is emphasized. The author analyzes the experience of the Norwegian oil and gas company Equinor in the development and implementation of ERM, changes in the organization of risk management and methods of analysis and evaluation.
METHODOLOGY OF AUTOMATED SELECTION OF FOOTWEAR IN THE TASKS OF SUPPORTING DECISION MAKING IN ORTHOPEDIC PROVIDING OF PATIENTS
Authors: Ermakova E. , Kiselev S.
Published: September 2021

Nowadays, customization is becoming an increasingly applicable approach for the individualization of goods made in mass production. Another trend is the technology of virtual, or contactless, shoe fitting, aimed at selecting goods in accordance with the individual anthropometric parameters of customers' feet. The article is considered to the presentation of the results of scientific developments in the field of optimization of orthopedic providing of patients using customization approaches and conceptual solutions of contactless shoe fitting technologies. As part of the study, an algorithm of shoe selection and a method for assessment of matching the internal shape of the shoe to the patient’s feet measurements have been developed. The possibilities and conditions for the application of the results obtained in the tasks of supporting orthopedic specialists in the orthopedic providing of patients on the basis of data mining in the implementation of the automated remote selection of shoes and ordering for custom shoes are presented. The reported study was funded by RFBR, project number 19-37-90152.
MATHEMATICAL MODELS FOR THE MATERIAL SUPPLY MANAGEMENT BASED ON THE INTEGRATED LOGISTICS SUPPORT APPROACH
Authors: Nguyen Th. , Nguyen T.
Published: September 2021

Integrated Logistics Support (ILS) is disciplined and unified management including activities in product life cycle management to create a product maintenance system (MS) to support the product throughout its intended life cycle at an acceptable cost. Along with information models combining product descriptions such as breakdowns, fault trees and methods of restorations, etc., mathematical models considered effective tools to get optimal results are proposed. The paper will present mathematical models, which play important roles in assessing and estimating material demand (spare parts), for the material supply management. These models are applied, in different levels of the ILS system, to the direct calculation of the material demands for scheduled and unscheduled maintenance
EXPERIENCE IN CONDUCTING PARENT-TEACHER MEETINGS ON HOW TO FOSTER A TOLERANT ATTITUDE TOWARDS CHILDREN WITH AUTISM SPECTRUM DISORDERS IN REMOTE FORM
Authors: Guseva N. , Zimina E. , Chechenina O.
Published: September 2021

This article discusses some aspects of conducting parent-teacher meetings on the formation of a tolerant attitude to children with autism spectrum disorders in a remote format. The difficulties and possible advantages of this format of work are analyzed, and methods and techniques for improving the effectiveness of these activities are proposed.
TYPES OF INTERNATIONAL OUTSOURCING.
Authors: Komarov S.
Published: September 2021

The paper presents two of the most common approaches to defining the types of international outsourcing. The most common classification of international outsourcing on a territorial basis is presented. Based on the study of the types of international outsourcing, the author concludes that this classification is not universal.
Perfect grams in Lithuanian and Latvian: A comparative analysis based on a typological questionnaire
Authors: Arkadiev Peter
Published: September 2021

This article presents a first detailed comparative investigation of the semantics of the perfect verbal forms in standard Lithuanian and Latvian. A typological questionnaire filled by five Latvian and seven Lithuanian informants reveals the difference in the degree of grammaticalization of the present perfect between the two Baltic languages. The set of contexts available for the present perfect in Latvian is wider and more reminiscent of the perfects in English and Scandinavian languages in comparison to the Lithuanian counterpart. While in Lithuanian the present perfect is restricted to the experiential and the resultative contexts, where it is also often substituted by the simple past, Latvian also employs the present perfect to convey the meanings of ‘hot news’, current relevance and persistent situation. The past perfect, on the contrary, is more frequent in Lithuanian and appears to be a separate category rather than a past tense version of the present perfect. The article also discusses the use of the future perfect and of a special variety of the perfect with the auxiliary in the evidential form, as well as the use of ‘bare’ participles formally coinciding with the second component of the analytical perfect form but used without the auxiliary.
Imperfectivability of Russian prefixal perfectives: Regularity and peculiarities
Authors: Gorbova Elena V.
Published: September 2021

The article provides the results of the study of the imperfectivability (the possibility of suffixal imperfectivation) of Russian prefixed verbs listed according to the Dictionary of the Russian Language. Each monosemic lexeme from the sample was aligned with its imperfective correlate (IPFV2) according to three sources: Yevgenieva’s dictionary, Russian National Corpus (ruscorpora.ru), Google and Yandex Search Engine Results pages (Runet). The results revealed that the average level of the imperfectivability of Russian prefixed verbs rounded to integers lies in the range of 77 % (according to the dictionary data) to 92 % (when taking into account unconventional IPFV2s encountered in RNC and the Russian-language Internet) according to maximal samples, while the minimal samples demonstrated a 80 % to 94 % average imperfectivability level. Thus, the suffixal imperfectivation meets the requirement of regularity of an inflectional category even on the level of a normative dictionary. Moreover, when the RNC and Runet data are also considered, the compliance with the regularity requirement becomes obvious. In addition to assessing the average level of imperfectivability, the paper describes suffixal imperfectivation of specialized subcategories of verbs within prefixal groups, such as denominatives, perfectives formed from perfective simplex stems, verbs ending in -i(zi)rovat’, morphologically marked Aktionsarten and verbs with the suffix -(a)nu-. The acquired results confirm descriptive adequacy of the two-component model of Russian aspect. According to this model, aspect is an inflectional category realized exclusively through suffixal imperfectivation and limited to prefixal verbs (the first component), while actionality is the foundation and explanation for imperfective (and, less frequently, perfective) functioning of simplex verbs (the second component).
IOT Based Traffic Management System
Authors: S Shashank , P Kiran , D Nischay , M Vinay Kumar , Vatsala B R , Raj Dr. C. Vidya
Published: September 2021

In 2014, 54% of the total global population was urban residents. The prediction was a growth of nearly 2% each year until 2020 leading to more pressure on the transportation system of cities. Cities should be making their streets run smarter instead of just making them bigger or building more roads. This leads to the proposed system which will use a Raspberry pi and Camera for tracking the number of vehicles leading to time-based monitoring of the system.
Advanced Technique for Efficiently and Securely Accessing data in the Fog and Cloud Network
Authors: Kale Dhanashri M. , Thakare Dr. Vilas M.
Published: September 2021

With the increased use of technology , the fog computing network is being used on a large scale The integration of fog computing into cloud computing network is full of advantages and increases features. The network currently is secured but also subjected to various challenges. In this paper, we have reviewed five different schemes which are : Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks, Fog Computing Architecture, Evaluation, and Future Research Directions, Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things, A Framework of Fog Computing: Architecture, Challenges, and Optimization, A Critical Analysis on Integration of Fog Computing and Cloud Computing. These schemes discussed here provide certain features but there are some limitations in it. So we propose a new scheme that helps to overcome the challenges of these previous schemes.
Classifying Disease in Fruit using Machine Learning
Authors: Ayeesha  , Zeela Fathima , Vijetha
Published: September 2021

India is agricultural country and Indian farmer select wide selection of fruit and vegetable crops. The cultivation of crops can be improved by the technological support. Fruits and vegetables losses are caused by disease. Diseases are seen on the leaves and fruits of plant, therefore disease detection plays a crucial role in cultivation of crops. Pathogens, fungi, microorganism, bacteria and viruses are sorts of fruit diseases also unhealthy environment is responsible for diseases. There are many techniques to spot diseases in fruits in its early stages. Hence, there's a requirement of automatic fruit unwellness detection system within the early stage of the unwellness. The aim is to detect the fruit disease, this method take input as image of fruit and determine it as infected or non- infected. The proposed method is based on the use of Scale-invariant Feature Transform (SIFT) Model with the desirable goal of accurate and fast classification of fruits. The SIFT features are local and based on the appearance of the object at particular interest points, and are invariant to image scale and rotation. They are also robust to changes in illumination, noise, and minor changes in viewpoint on image processing theory. SIFT have significant advantages because of their high accuracy, relatively easy to extract and allow for correct object identification with low probability of mismatch. Besides, they do not need an outsized number of coaching samples to avoid overfitting.
Deep Learning model to Automate the process of mapping Cancer Cells to Cell Lines & Cancer Types from Single Cell RNA-Seq Data
Authors: Patel Vatsal
Published: September 2021

Single Cell RNA Sequencing has given us a broad domain to study heterogeneity & expression profiles of cells. Downstream analysis of such data has led us to important observation and classification of cell types. However, these approaches demand great exertion and effort added that it seems the only way to proceed ahead for the first time. Results of such verified analysis have led us to create labels from our dataset. We can use the same labeled data as an input to a neural network and this way we would be able to automate the tedious & time-consuming process of downstream analysis. In this paper, we have automated the process of mapping cancer cells to cancer cell lines & cancer types. For the same, we have used pan-cancer single cell sequencing data of 53513 cells from 198 cell lines reflecting 22 cancer types.
Review on Smart Health Care Monitoring Systems
Authors: Katre Vasishth V. , Chatur Dr. P. N.
Published: September 2021

Document IoT is leading in smart health care system. Using different sensors it's possible to monitor the patients healthcare remotely. This is unimagined and leads to a spatial longitude amalgamated with machine learning approach. Leading to smart health care, and headway in medical field. It may lead to know severe health issues ahead of time which would be tranquil to the health system. Which would benefit the hospital administration and management. This paper elucidates on the distinct sort of IoT based health care monitoring systems. The aim is to juxtapose the present health care IoT systems.
Blockchain Design for Securing Supply Chain Management in Coffee Retailer Network
Authors: Ravindran Urshila , Bhardwaj Pragya , Vamsi P. Raghu
Published: September 2021

Blockchain is a trusted distributed ledger shared across the business processes. Blockchain technology focuses on automating tasks in a distributed environment. Proving as one of the effective platforms, it helps in mapping the physical commodities to the digital ledger. A digital ledger is like an electronic register for storing the transactions that are taking place among various commodities. The physical commodities include suppliers, manufacturers, exporters, consumers and distributors wherein the distributor plays a major role in determining the product standards. To this end, this paper presents a Blockchain design for securing Supply Chain Management (SCM) in Coffee Retailer Network (CRN). The proposed design made with the view that it further be implemented with smart contracts to establish a private or consortium Blockchain application for the asset tracking processes in the coffee retailer network. The proposed model can bring transparency, sustainability and efficiency in asset tracking.
Segmentation and Classification of Brain Tumour Images
Authors: M Shreeja. , Mrs. Padmanayana
Published: September 2021

Brain tumor, U-Net, Random Forest
PIN∆LΞ : FUSE based Filesystem and Folder Syncer
Authors: Gor Parth , D`sa Rayson , Acharya Harit , S. Mrs. Geetha
Published: September 2021

In this digital world the data is organized by an entity called a file system. In desktop operating systems the file manager manages the local data. But with cloud technologies, reliance on online storage has increased since the past decade, which demands a hybrid file managing solution. The proposed file system using FUSE and application give the functionalities such as support for multiple cloud storages on local file manager, automated syncing of folders on different devices.
Visual Encryption Using Block based Scrambling Followed by Affine Encryption Technique
Authors: Maurya Durgesh Kumar , Pathak Rajesh Kumar , Yadav Komal
Published: September 2021

This article reports the Block based cipher concept followed by the affine cipher technique. The Image considered was grouped into squared (16, 32 and 64) pixel blocks then each column was shifted by specific values. These values were randomly generated prime numbers and worked as the key for scrambling. These images were investigated for their quality of scrambling using histogram and adjacent pixel correlation. The adjacent pixel correlations for 16, 32 and 64 pixel-based ciphered images were found as 0.7907, 0.7292, and 0.4783 respectively. The analysis gave the information that the level of scrambling was not satisfactory, therefore; the affine cipher technique was applied to each of the images. These images were converted into the matrix format and each element was transformed using the affine cipher. This transformed matrix is again converted inform from the image to visualize. The Histogram and adjacent pixel correction for these images were much improved.
Implementation of ML Algorithm’s for Cyber Security
Authors: Asif Mohammad , Chirchi Prof. E. M.
Published: September 2021

Machine learning is embraced in an extensive variety of areas where it demonstrates its predominance over customary lead based calculations. These strategies are being coordinated in digital recognition frameworks with the objective of supporting or notwithstanding supplanting the principal level of security experts although the total mechanization of identification and examination is a luring objective, the adequacy of machine learning in digital security must be assessed with the due steadiness. With the improvement of the Internet, digital assaults are changing quickly and the digital security circumstance isn't hopeful. Since information are so critical in ML/DL strategies, we portray a portion of the normally utilized system datasets utilized in ML/DL, examine the difficulties of utilizing ML/DL for digital security and give recommendations to look into bearings. Malware has developed over the previous decades including novel engendering vectors, strong versatility methods and different and progressively propelled assault procedures. The most recent manifestation of malware is the infamous bot malware that furnish the aggressor with the capacity to remotely control traded off machines therefore making them a piece of systems of bargained machines otherwise called botnets. Bot malware depend on the Internet for proliferation, speaking with the remote assailant and executing assorted noxious exercises. As system movement, action is one of the principle characteristics of malware and botnet task, activity investigation is frequently observed as one of the key methods for recognizing traded off machines inside the system. We present an examination, routed to security experts, of machine learning methods connected to the recognition of interruption, malware, and spam.
Smart Trash Bin
Authors: Jain Prathikshith , K Sowmya , V Ganesh Prasad Navada
Published: September 2021

The quantity of garbage in the city of Mangalore is increasing daily. The garbage needs to be gathered from several points of location and then need to be moved to garbage collection sites. These enormous number of garbage collection points itself seed pollution and also absence of waste management resources available by the government will have the severe impact on environment and surrounding community. In view of all these impacts on the community and environment the authors have lifted this issue to build an internet of things based smart trash bin in and around the city. These smart trash bins are very fruitful and time-efficient waste management system that will be effective in Mangalore's smart city project.
Automatic Fruit Detection and Couting System Using Neural Network
Authors: Padiyar Vaishnavi R , N Nagaraja Hebbar , Shetty Shreya G
Published: September 2021

In the field of agriculture, Identification and counting the number of fruits from the image helps the farmers in crop estimation. At present manual counting of fruits present in many places. The current practice of yield estimation based on the manual counting of fruits has many drawbacks as it is time consuming and expensive process. while considering the progress of fruit detection, estimating proper and accurate fruit counts from images in real-world scenarios such as orchards is still a challenging problem. The focus of this paper is on the web application of fruit yield estimation. This web application helps the farmers to count the number of fruits easily. This system provides an automated and efficient fruit counting system using computer vision techniques. This paper provides the progress towards in-field fruit counting using neural network object detection methods. So this process is done by recognizing each fruit in the image and taking the count. In the neural network, we have used YOLO architecture for recognizing the fruits.
Bird Species Detection From Voice Features
Authors: B Rachana , Hegde Kavya , Bhat Navya
Published: September 2021

The objective is naturally recognize which types of bird is available in a sound data set utilizing regulated learning. Contriving successful calculations for bird species order is a fundamental advance toward separating valuable natural information from accounts gathered in the field. Here Naïve Bayes calculation to characterize bird voices into various species dependent on 265 highlights removed from the chipping sound of birds. The difficulties in this undertaking included memory the executives, the quantity of bird species for the machine perceive, and the jumble in signal-to-clamor proportion between the preparation and the testing sets. So to settle this difficulties we utilized Naïve Bayes calculation from this we got great precision in it. The calculation Naive Bayes got 91.58% exactness.
Designing a prototype for Mentally Challenged and Alzheimer Patients
Authors: Saravanan Dr. K. , Anand Abhinav , Nayak Chinmaya Kumar , Anand Ayush , Kumar Deepak
Published: September 2021

This work is the prototype of this system is mobile application which uses the GPS technology to track the patient and it help the gathering of information from satellites in order to find the exact coordinate of the Alzheimer patient, whenever the patient move away fro thr specific boundary which is given in the tracker like mobile and the mobile tracks the GPS location and the location send a message in the computer or smartphone through the cellular network system that the patient is out of location or boundary.
A Digital Record for Privacy and Security in Internet of Things
Authors: Manoj Dr. K. Sai
Published: September 2021

For privacy and security, a digital transactional record method plays a major role for its excellent nature of work. This digital method used to solve the check the problems like privacy and protection of data. It also had some unfit things like high bandwidth, computation complexity, latency and restricted scalability which are inadequate for internet of things. This research paper focuses on Efficient Lightweight Integrated Block chain model which is expanded to show the development of internet of things. Especially, this paper presents a model of a digital home which is attempted to prove the various applications used by internet of things. The benefits of this smart home are information transmission, activity of outgoing and incoming in every action. Efficient Lightweight Integrated Block chain model connected with digital transactional method with powerful provided sources to prove privacy and security. Algorithm, Certificate less Cryptography, Distributed Throughput Management schemes and Lightweight Consensus are used to present the Efficient Lightweight Integrated Block Chain model. Various methods are used to prove this model by using time processing, usage of energy and so on. This model saves 60% of time processing while consuming the energy of 0.08 Jm. Many parameters are used to show outcome done by this method.
Analysis of Cutting Tool Business Development Strategies PT.JKL
Authors: Mustaqim Nanda , Asnawi Yudha Heryawan , Asmara Alla
Published: September 2021

Automotive industry is one of the manufacturing sectors that contributes greatly to the Indonesian economy. PT. JKL is one of the supporters of the automotive industry, namely as a distributor of cutting tools. As a growing company that is still in the catagory of MSMEs, this company has many shortcomings to grow its business. This research was conducted to find the right strategy for the development of this company. From the results of the ife matrix study got a score of 2,784 and EFE got a score of 3,413 then, the company was included in quadrant II in the IE matrix, which is growing and developing. SWOT matrix is used to create strategies in this research there are several alternatives, while the priority strategy of QSPM is to add experienced marketing human resources, add cutting tools, establish and maintain emotional relationships with prospective customers and old customers, create a company website, make agreements that facilitate the mop.
Exploration of Tensile Properties of Low Carbon Steel Welded Joint
Authors: Senthilkumar P.
Published: September 2021

The effect of welding current on the tensile properties of low carbon steel welded joint was investigated in this research. In this work mild steel plates were joined by shielded metal arc welding process which is also known as manual metal arc welding used to examine optimum welding current. The welded samples were cut and machined to standard configurations for tensile tests. It was concluded that variation of current affect the tensile properties of the low carbon steel welded joint. As the current increases from 80A to 110A, the ultimate tensile strengths and yeild strength increases. The percentage elongation decreases with increase in welding current but increases at the welding current of 110A.
Cyber-Crimes Issues on Social Media Usage Among Higher Learning Institutions Students in Dar ES Salaam Region, Tanzania
Authors: Benard Masese Chuma , Charles Masoud , Charo Joel Sadiki , Mvurya Dr. Mgala
Published: September 2021

Social media allow people to communicate with others and this has increased online communication. There are numerous risks of attack on the use of internet and cyber criminals across the digital world. Cyber-crimes is the latest and the most sophisticated problem in the digital world. Cybercrime varies from computer fraud, unauthorized hacking, forgery, infringements of privacy, online gambling, propagation of harmful content, phishing, computer viruses, falsification of prostitution, theft, espionage, copyright infringement , financial crimes, sale of illegal articles, pornography, intellectual property crime, e-mail spoofing, cyber defamation and cyber stalking. The study was guided by the following objectives, to establish various forms of cybercrimes performed on social media, to examine the effects of cyber-crimes on the security of social media, to study the impact of cyber-crimes on social media security. The research population was used from the selected higher learning institutions and a sample size of 132 was used. Simple random sampling was used in sampling the respondents. A descriptive statistics analysis was done, comprising the generation of mean and standard deviation. SPSSv16.0 software was used to generate the mean and standard deviation. The findings show that many students share too much information through emails and social media which may pose threats to them. Most organization they have implemented multilayered security mechanisms information security may leak on the social sites. Cyber-bullying has spread widely especially are prone to the practice of cyber-bullying. Security attacks such as hacking, spoofing spamming cyber stalking Trojan, worms, viruses and exposure scams are common through social media, hence the ICT policy and government policy have address such issues. Higher learning institutions need to invest more resources in training students, awareness, research and development, IT security and social media crimes.
A Simple Technique for the Identification of Environmental DNA (eDNA ) in the Water Samples
Authors: Y. Chitra K.
Published: September 2021

The environmental DNA(eDNA) is the DNA that is shed by the organisms in their environment by different ways viz. , mucous, faeces, skin, eggs, sperms and also when these organisms die due to natural death or disease. The eDNA will persist for several days. Identification of eDNA is a useful method of determining the organisms present in an aquatic environment like amphibians, reptiles, fishes , insects and larval forms of some of these organisms. By analysing the e-DNA it is possible to monitor the species distribution in water bodies like lakes and ponds simply by collecting a sample of water. The technique can be applied for the survey of the water bodies on a large scale for the genomic, taxonomic as well as pollutional studies. The DNA isolation procedures that are available are laborious and time consuming. Therefore, during the present study, a simplified method was devised i. e. , isolation of eDNA with ethanol after which Feulgen stain was applied to identify and confirm it, as it is an easy method before proceeding to work with the isolated eDNA using other techniqnies for further studies. The Feulgen method is used for the selective staining and the localisation of the DNA in the tissues but is adopted during the present study for the water samples for quick identification of eDNA. The smear of eDNA stained with Feulgen showed dark pink or magenta colour under the microscope where it was concentrated but stained lightly when dispersed and fragmented as observed in the present study. Further studies of the isolated eDNA are in progress in our laboratory for quantifying and sequencing eDNA using latest techniques like next generation sequencing for the identification of fish species in the lakes.
Exchange Rate Behavior of Plantation Subsector Farmers in North Kolaka Regency
Authors: Salahuddin Salahuddin , Munadi Laode Muh. , Pagala Muhammad Amrullah , Astarika Rina
Published: September 2021

The implementation of the research on the behavior of farmers exchange rate subsector plantations in North Kolaka District, conducted in the sub-district area that qualifies as a sample area in the researcher's perspective aims to see the exchange rate behavior of plantation subsector farmers in north Kolaka district, conducted in January-March 2021. The calculation of Farmer Exchange Rate is obtained from the comparison of the price index received by farmers against the price index paid by farmers using the survey method with the number of 340 respondents spread in North Kolaka Regency. The results showed that the behavior of the price received by farmers 110.23%, The Behavior of Prices Paid by Farmers 95.22%, and the exchange rate of farmers in the subsector of plantation crops in North Kolaka District in 2019-2020 115.81%.
Performance Evaluation of FBMC for Future Communication
Authors: Shankaraiah Dr. , K B Tejas
Published: September 2021

The current mobile telecommunication system is grew in a massive way, and in upcoming days requires a good supervision and enactment evaluation in addition to analysis. Filter-Bank-Multi-Carrier (FBMC) stands a method of multicarrier cadence method that is been extremely used for high date rate cellular network system as well as wireless systems. This entails a supple distribution of the obtainable time-frequency possessions, which is problematic over conservative Orthogonal Frequency Division Multiplexing (OFDM). Consequently, alterations of OFDM, such as windowing otherwise filtering, develop essential. The intention of current investigation exertion grounded on mobile expertise remains to upsurge the bandwidth in lieu of altogether users, huge bandwidth, further effectual also easily wieldy also continual unchanging connectivity. The projected paper benevolences, a coalescing outline, and discussion also performance estimation of FBMC also associate it toward OFDM grounded patterns. We develop that several antennas also channel estimate, two of the chief defies allied by FBMC, be able to be proficiently dealt through.
Digitisation of Healthcare Products and the Democratization Continuum of the Healthcare System in China : A Systematic Review
Authors: Antwi Henry Asante , Paixao Tamires Lizandra Andrade , Antwi Maxwell Opuni
Published: September 2021

Typical of most industries, digitisation of healthcare products, services and models of E-Commerce is democratizing the current healthcare system in China while unlocking new previously inaccessible healthcare segments. This monumental convergence of healthcare industry with IT is part of a larger evolution and growth of E-Commerce from simple search portals for purchasing goods and services to more integrated digital marketplace that incorporates personalized experience and informed purchase decision making into online behaviours. The result is the manifestation of a new era of healthcare consumerism, as healthcare customers demand retail-like buying experience. We performed a comprehensive systematic scoping review of published data to identify how E-Commerce is complementing the traditional healthcare delivery system in China. We note that healthcare E-Commerce is facilitating the reconstruction of the healthcare value chain in China and at the same time is helping health facilities to reengineer operations and service processes. Our study highlights the important role E-commerce is playing in the healthcare industry in China.
Response of Microbial Consortia Culture Inoculation to Soil Moisture Status, Proline and Yield of Sorghum (Sorghum bicolar L.)
Authors: Kakde N. A. , Hanwate G. R. , G19665901 P. H.
Published: September 2021

Plant secondary metabolites play vital role in plant stress response. In this study we investigated root colonization of sorghum (Sorghum bicolar) infected by two different types of microbial consortia culture (MC1 & MC2) leads to alteration in the biosynthesis of secondary plant metabolites including phytoharmones and osmolyte proline under drought stress. The promising microbial consortia procured from authentic sources (Department of Microbiology CRIDA, Hyderabad and that consortia culture contain mixture of effective beneficial microbes such as N-fixing bacteria, PGPR and mycorrhizal fungi). Application of microbial consortia culture through soil application and seed treatment to sorghum along with Recommended Dose Of Fertilizer (RDF) showed increased soil moisture content and chlorophyll pigments as compared to uninoculated controls as well as drought stressed plants. Proline content was increased in plants inoculated with microbial consortia under both normal as well as drought conditions. An obvious increase grain yield and dry matter yield through application of microbial consortia with soil application and seed treatments in normal and drought condition respectively.
Various Methods to Detect Microalbumin in Early Detection of Nephropathy
Authors: Singh Jagroop , Kaur Dr. Manpreet
Published: September 2021

Background : Microalbuminuria (defined as urinary albumin excretion of 30-300 mg/day, or 20-200 µg/min) is an earlier sign of vascular damage. It is a marker of general vascular dysfunction and nowadays is considered a predictor of worse outcomes for both kidney and heart patients. Microalbuminuria could be taken also, as an indicator of insulin resistance and of the increased renal and cardiovascular risk associated with metabolic syndrome. Renal involvement is a pivotal development in diabetes and microalbuminuria is generally the first clinical sign of renal dysfunction in diabetics. It is demonstrated that cardiovascular and renal risk is elevated even in the high normal range of microalbuminuria (below 30 mg/day). Material and method; The cross sectional study was conducted in department of biochemistry and medicine in Guru Gobind Singh Medical College and Hospital, Faridkot. 50 patients, who suffering with diabetes and hypertensive were enrolled for study. Result; Out of 50 diabetes and hypertensive patients, 31 males and 19 females. The p values are not significant so all the 3 methods can be used for detecting microalbumin in diabetic and hypertensive patients. In our study we found that microalbumin by antigen antibody method as provided by point of care instrument (ICHROMA) gives sensitivity of 88% and specificity of 80.1%. Albumin creatinine ratio by laboratory method is cheap and simple method with sensitivity of 86.0% but specificity of 42.8% Conclusion: Albumin creatinine ratio by dye based strip method is a good marker to detect microalbumin in early detection of nephropathy in diabetic and hypertensive individuals. Microalbuminuria by antigen antibody reaction detection by ichroma provides good sensitivity and specificity. On the other hand ACR by lab method cannot substitute ACR by strip due to its low specificity.
Formulation and Evaluation of Polyherbal Oil
Authors: Jagatap Neha N.
Published: September 2021

The aim of present study involves preparation of polyherbal hair oil using plant materials. The prepared polyherbal hair oil evaluated different parameters within the acceptable limits. Such as phytochemical screening, organoleptic characterization, specific gravity, pH, viscosity, acid value, saponification value, refractive index, and also stability study. Antimicrobial assay of the polyherbal hair oil was studied by the zone inhibition method. And these helps reduces dandruffs and scalp of hairs. And to provide nutrition’s of hairs. The antioxidant activity of the oil was studied by DPPH radical scavenging activity. The primary skin irritation test is carried out. Hence, these polyherbal hair oil increases hair growth, reduces hair loss, providing protection against dandruff. Now-a-days increasing demand of herbal formulation than synthetic formulation. They have better safety and also fewer side effects. Polyherbal hair oil using various fresh leaves of Hibiscus Rosa Sinesis, Aloe Barbadensis leaf, curry leaves, amla, shikekai. These formulations coconut oil as the base. Hair care products used both hair tonic as well as hair grooming aids.
Parametric Study on Turning of AISI 1040 Steel
Authors: Mehdi Azadar , Aamir
Published: September 2021

Turning is a most popular cutting process which is widely used in small as well as the large-scale industries. The selection of better combination of the input parameter be means enhancement in productivity. The aim of this paper is to the study effect of ( Cutting Speed, Depth of cut, Feed rate ) on surface roughness and to obtained the data.
IoT Based Greenhouse Monitoring System Using Raspberry Pi
Authors: Karle Santosh , Bansode Vivek , Tambe Prekshita , Bhambare Rajesh
Published: September 2021

Whilst computerized greenhouse systems are common in commercial crop production, there are few equivalent, but less expensive, systems available for home greenhouses. As a result, the scope of this study is to build and make a smart greenhouse system that monitors and regulate domestic greenhouses both locally and remotely. This thesis concentrated on the design and implementation of a smart greenhouse system's user interface and networking paradigm. This concept presents a conceptual framework for transforming a traditional greenhouse into a smart greenhouse. The goal is for customers to be able to control and manage critical crop aspects depending on their own needs. A user-friendly Thingspeak service where real data is synced from the greenhouse to the cloud and a responsive greenhouse system are the end results.
Non-Motorized Transportation Analysis of Traffic Density, Pollution Using Regression Anova Analysis
Authors: Bhele Arjun Rajeevkumar , Ghodmare Dr. Sujesh D.
Published: September 2021

Planners are now trying to provide greener travel solutions to reduce fiscal, social, and environmental issues. This research, therefore, seeks to find significant reasons for urban transport to enhance the use of alternative transportation modes. This report seeks to establish the connection between influential metrics for urban mobility and regular travel trips from different parts of the world. Deployment of excellent non-motorized transport facilities for Walking and cycling is a good way to encourage the use of bicycles, thereby increasing the physical fitness of end-users. Past studies were thoroughly reviewed and found to be applicable for analysis and application in the real world. Anova's regression analysis is distinguished by a more comprehensive interpretation of the findings. At Rajkamal Intersection, Amravati district, Maharashtra the traffic volume counts were carried out. It is the focus of the transport congestion, which leads to a polluted atmosphere due to prolonged duration at the signals. In this research, it can be seen that with the use of Motorized transport the traffic density & air pollution will increase with time, and with the increase in the use of Non-Motorized transport, the traffic density decreases also the air pollution is at a steady pace. The current study shows the necessity, favourable conditions, and economic benefits of non-motorized sustainable traffic, in the Indian condition.
Transportation Planning Using Conventional Four Stage Modeling : An Attempt for Identification of Problems in a Transportation System
Authors: Yadav Geetanjali , Ghodmare Sujesh D
Published: September 2021

In the formative development of urban transportation planning, travel forecasting is essential. Various travel simulation techniques are used to estimate possible traffic scenarios. It's been used to analyze road capability, transportation system developments, and new land use strategies and policies. The solution to travel decisions is generally obtained if the models are done in sequence. Many attempts are made to simulate the variety of choices made by travellers as a part of a response to a particular highway system, related transit system, and connected policies. For this purpose number of assumptions are considered regarding the decisions made by the people, factors considered by them, and their reaction as a response to the alternatives available in the transportation system. Generally, the process of travel simulation follows trip generating at the trip generation zone and moves through different links of the network and nodes. It ultimately ends at the trip attraction zone. The simulation method is known as Traditional Four Steps Transportation Modeling, and it includes the four basic models namely Trip Generation, Trip Distribution, Mode Choice, and Traffic Assignments. This paper it is tried to focus on the process of this traditional four-step transportation modeling system. The modeling method calculates a simplified transportation network from the city of Ulhasnagar, India.