bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATION OF THE EFFECTIVENESS OF THE DEVELOPMENT OF ORGANIC CROP PRODUCTION
Authors:   Povolzhsky Research Institute of Economics and Organization of the AgroIndustrial Complex, Shelenok A.V.
Published: February 2021

The article examines intensive and organic technologies for growing agricultural crops, their impact on the environment, human health, indicates what are the advantages and disadvantages of organic agriculture. It is noted that with intensive technologies for growing agricultural crops, their yield increases, but if the doses of chemicals are not observed, soil fertility is disturbed, the environment is polluted. Devoid of the disadvantages inherent in intensive technologies, organic farming is significantly inferior in productivity to it, due to which it is not able to reach the same production volumes, to ensure a comparable level of domestic consumption, which is demonstrated by traditional farming. The article compares the effectiveness of traditional and organic agronomic farming systems. It is shown that in the case of comparability of yield indicators, traditional technologies at lower selling prices are more effective in terms of profit and profitability indicators. The reasons for the slow development of the organic segment in the agricultural production of Russia are revealed. In this regard, the topic of support for foreign and Russian agricultural producers, including organic products, as well as the underdevelopment of its domestic market is touched upon. It is noted that, in contrast to developed countries, Russia’s share in the world market for organic products is insignificant. Therefore, it is too early to talk about the prospects for the development of organic agriculture in Russia. In the world, organic farming is stimulated, it occupies its own niche, but in all respects it lags far behind the traditional method of growing agricultural products. Its share in the world food market ranges from 2.6 to 3%.
DEVELOPMENT OF RURAL AREAS IN THE SARATOV REGION AND THE REPUBLIC OF KAZAKHSTAN
Authors:   Povolzhsky Research Institute of Economics and Organization of the Agro-Industrial Complex, Yurkova M.S. , Ermakova G.A. ,   Povolzhsky Research Institute of Economics and Organization of the Agro-Industrial Complex, Likhovtsova E.A. ,   Saratov State Agrarian University named after N. I. Vavilov, Akimbekova Ch.U. ,   Kazakh Research Institute of Economics of the Agroindustrial Complex and Development of Rural Areas
Published: February 2021

The article analyzes the main organizational and legal aspects and administrative decisions in the field of ensuring and regulating the socio-economic and demographic development of the village at the regional level using the example of the Saratov region. The foreign experience is also considered on the example of Kazakhstan and its domestic policy of development of rural areas. The most effective measures in this area will be carried out taking into account regional characteristics and national and cultural values in order to eliminate the existing shortcomings associated with the emergence of depopulation of rural areas and the underestimation of its consequences, the absence of hierarchically aligned priorities in the implementation of socio-economic policy. The basis for the development of the village is the creation of prerequisites for the formation of points of growth in socio-cultural and economic spheres and should be carried out on the basis of an increase in the income of residents, an increase in labor productivity and the use of various alternative factors inherent in a market economy with a social bias. It is required to create the necessary conditions to improve the quality of life of the population of the village at the expense of state support funds, the use of part of the profits of large agricultural formations and rich peasant (farmer) households. Regulation of labor migration is necessary at the level of not only making appropriate state decisions (regional or local), but also establishing social, organizational and economic measures by agricultural and other producers themselves in order to prevent the outflow of the able-bodied population. It is also required to generate the necessary conditions for effective employment of the population in rural areas based on the development of agricultural and non-agricultural activities based on the needs of the consumer market.
METHODOLOGICAL APPROACHES TO BUILDING A DIGITAL BUSINESS MODEL OF A REGIONAL AGRICULTURAL ENTERPRISE
Authors:   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Nesmyslenov A.P.
Published: February 2021

The article provides an overview of the current state programs “Digital Economy” and “National Technology Initiative” and other relevant legislative and regulatory documents. The development of a business model for an agricultural enterprise is based on a sequential value chain, which is a set of processes that ensure production and movement of products “from farm to fork”. The process of agricultural production from the point of view of the business model of activity is reduced to a sequence of certain events and actions that have the beginning and the end. The methodological basis is the process approach, which allows considering the sequence of actions within certain boundaries. The key elements of the digital business model of an agricultural enterprise are highlighted: the value for external customers, the system for creating this value, the assets of the enterprise, its financial model. The creation of consumer value of agricultural products in the course of the business model functioning is conditioned by the availability of information that promotes the introduction of the industry product by the manufacturer to the market and the consumer’s conscious choice. In the author’s understanding, the process of digitalization of a business model consists of relationships with end customers, and those between agricultural and processing enterprises, intermediary, trading organizations, organization of on-farm activities in accordance with market conditions, strategic management. The effectiveness of the digital business model of an agricultural enterprise depends on the established end-to-end value chain using the concept of Industry 4.0 (Industrial Internet of Things) and the implementation of the concept of Demand Driven Supply Networks (DDSN).
PRIORITIES FOR THE EFFECTIVE USE OF PASTURES IN DEVELOPING ANIMAL HUSBANDRY AT THE PRIVATE HOUSEHOLDS IN KAZAKHSTAN
Authors:   Kazakh Research Institute of Economics of Agroindustrial Complex and Development of Rural Areas, Sabirova A.I. , Zhumasheva S.T. ,   Kazakh Research Institute of Economics of Agroindustrial Complex and Development of Rural Areas, Taipova I.S. ,   Kazakh Research Institute of Economics of Agroindustrial Complex and Development of Rural Areas, Bryzgalina M.A. ,   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex
Published: February 2021

The institutional and organizational-economic directions of the effective using pastures for keeping private households livestock around the settlement territories, creating favorable environmental conditions for rural residents, preventing land degradation around rural settlements are considered. The current regulatory framework of the Republic of Kazakhstan on the development of households and the use of pasture areas for developing animal husbandry is analyzed. Based on the assessment of the legislative support for this category of farms in the countries of the Union of Independent States, the rationale for the need to adopt the Law of the Republic of Kazakhstan “On the activities of people’s private households” is provided. On the basis of a monographic study of rural areas around large rural settlements and private animals farms, the degree of seasonal use of pastures in rural areas in different natural and agricultural zones was determined, the regions with a lack of pastures and a high concentration of rural population, as well as the regions with a low load of livestock on pastures were identified. Households with a large number of livestock and output of marketable products, which do not have the status of individual entrepreneurs, were identified. An assessment is given of the state of reserve territories of reserve lands, forest resources and reserves for their possible involvement in agricultural turnover on the basis of long-term and short-term lease to replenish the feed stock of livestock kept in private households. Methods have been developed for determining the organizational and economic mechanisms for regulating livestock grazing in rural areas by observing the optimal load of livestock from private households and their seasonal use with the involvement of reserve lands in the agricultural turnover, transforming peasant farms into business structures.
MARKET POTENTIAL AS A GREEN AGRICULTURAL PRODUCTION DEVELOPMENT FACTOR
Authors:   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Aleshina E.A. , Leksina A.A. ,   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Dossumova Zh. S. ,   Kazakh Research Institute of Economics of Agroindustrial Complex and Development of Rural Areas
Published: February 2021

Organic agriculture, based on natural production technologies, obtains a great potential for reversing humanity to a healthy diet and living in harmony with nature by improving the state of the ecosystem. The share of organic food products in the market of the developed countries is already quite high; and various institutional systems of the industry have been introduced and are being improved in the leading countries of the world. Domestic agribusiness is currently lagging behind in these matters, but the situation should be significantly changed by the adopted law and state standard regulating the requirements for the organic sector. In this regard, an objective need arose to substantiate the capabilities and the resource potential of the Saratov region in this sphere. Within the framework of the presented research, an interdisciplinary fundamental platform to develop the theory of the organic food products market was formed. As a result, the elements of the scientific methodology (theories, principles, factors, methods) of its functioning were identified, which made it possible to substantiate the potential capacity of the regional consumer market for organic food. The calculation was made taking into account the rational norms of food consumption that meet modern requirements for a healthy diet, the heterogeneity of consumer preferences, the price gap for the main conventional and organic products in retail and the dispersion of prices for the latter, the implementation of state policy to protect and improve the health of certain population groups. This study is intended for the state management bodies of the agro-industrial sector, the leadership of agricultural, processing and marketing enterprises, the structures of wholesale and retail food products trade and branch research institutions.
Sistem Utang Piutang Pupuk Dibayar Gabah di Jember Perspektif Fiqih Muamalah dan Hukum Positif
Authors: Muhlisah Siti
Published: February 2021

Discussing about debt and credit is not foreign to everyone's ears. Accounts receivable is an agreement between one party and another with the agreed object and will be returned within a certain time as agreed. Debt and credit is a form of muamalah which is ta'awun (please help). The fact is that many debts and receivables are not following sharia and law in Indonesia. This study aims to determine and analyze how the practice of fertilizer receivables is paid with grain from the perspective of Fiqh Muamalah and Positive Law. The research method used is descriptive qualitative. The results of this study found that according to Fiqih Muamalah, the fertilizer receivable payable system is paid with grain that the transaction is allowed, but every addition in fertilizer receivables is paid with grain required by the creditor is usury. The practice of the fertilizer debt system being paid with grain also contradicts the principles of the contract, one of which is the divine principle, the principle of justice, and the principle of writing. In the Positive Law, the fertilizer accounts payable system is paid with the grain if it refers to the Supreme Court decision dated December 4, 1975, No. 804 K / Sip / 1973 principal debt plus 6% interest, because 6% interest is the usual interest at the time the agreement was held. And must be stipulated in writing. Meanwhile, the interest in the debt and credit is more than 70%.
Limitations and Advantages in Implementing MALL in the Tertiary ESL Classrooms: A Review
Authors:   Assistant Professor, Department of English, SSN College of Engineering, Chennai, India., Sam D Praveen , Shalini R ,   Research Scholar, Department of English, SSN College of Engineering, Chennai, India.
Published: February 2021

Technology-assisted facilities have taken English Language Teaching (ELT) to a different level where Computer Assisted Language Learning (CALL) has become an indispensable feature of leaning a language. Recently, in the current day context of ELT, both learners and teachers are experiencing a positive shift from CALL to another more efficient platform called Mobile Assisted Language Learning (MALL). This paper explores the fundamentals of MALL and its application in ELT. Moreover, it sheds light on the various advantages and limitations in implementing MALL devices like mobile phones, smartphones, kindles and so on in the regular as well as virtual classroom context. It discusses theories on technology-enabled learning and MALL. The primary focus of this paper is to shed light on the perspective of employing MALL in the language classes at the tertiary level.
On Moving Target Techniques for Network Defense Security
Authors:   Department of Cybersecurity, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia., Alnemari Shouq Mohsen , Alzahrani Sabah M ,   College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
Published: February 2021

The traditional technologies, tools and procedures of any network cannot be protected from attackers due to the unchanged services and configurations of the networks. To get rid of the asymmetrical feature, Moving Target Defense technique constantly changes the platform conformation which reduces success ratio of the cyberattack. Users are faced with realness with the increase of continual, progressive, and smart attacks. However, the defenders often follow the attackers in taking suitable action to frustrate expected attackers. The moving target defense idea appeared as a preemptive protect mechanism aimed at preventing attacks. This paper conducts a comprehensive study to cover the following aspects of moving target defense, characteristics of target attacks and its limitation, classifications of defense types, major methodologies, promising defense solutions, assessment methods and applications of defense. Finally, we conclude the study and the future concern proposals. The purpose of the study is to give general directions of research regarding critical features of defense techniques to scholars seeking to improve proactive and adaptive moving target defense mechanisms.
The Significance of Predictive Analysis in Predicting the Performance of Members in the Organizations
Authors:   B.Tech Information Technology from SRM Institute of Science and Technology, Chennai, India., Gupta Vishesh
Published: February 2021

This study focuses on the performance evaluation of Employees working in an organization with the use of predictive analysis and evaluates the research on the basis of primary data survey method. A questionnaire was used as a tool in the study and the responses of employees from a particular organization were taken and the analysis was done based upon those responses. The study also includes the literature review part where the previous studies done related to the use of predictive analysis in the performance evaluation of employees in an organization was used and the study further concludes with the decision and more innovative techniques of predictive analysis that can be used in future to evaluate employee performance.
Classification of Building Images using Fractal Features
Authors:   Department of Computer Science and Engineering from National Engineering College, Kovilpatti, India., Sangeetha Ms.A. , Rajakumari Mrs.R. ,   Department of Computer Science and Engineering from National Engineering College, Kovilpatti, India.
Published: February 2021

Cracks in concrete buildings may show the total extent of damage or problems of greater magnitude. Causes of cracks depend on the nature of the crack and the type of structure. Crack classification is an approach to using machine learning algorithms to find a particular type of crack. The image is preprocessed by image smoothening and removes noise using a Gaussian filter, whereas the Sobel edge detection method is used to detect the edges. By using k-means clustering, the image segmentation is carried out to identify the Region of Interest. Fractal dimension is an efficient measure for complex objects. Fractal features like fractal dimension, average, and lacunarity are calculated using a differential box-counting algorithm. The classification of the crack classifies the crack based on the characteristics derived from the crack area.
Feature Based Method for Predicting Pharmacological Interaction
Authors:   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India., Baiju Ansa , Mathew Linda Sara ,   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India., Subash Neethu ,   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India.
Published: February 2021

Prediction of drug target interaction is an extrusive domain of drug discovery and repositioning of drugs. Most conventional studies are carried out in early years in the wet laboratory, but it is very expensive and time consuming. So nowadays, the use of machine learning techniques to predict drug target pairs. A new method of interaction targeting drugs is introduced in this paper. Use the Pseudo Position Specific Scoring Matrix (PsePSSM) is used to represent the target, which generate features that describe the original information of protein. The drug chemical structure information can be extracted through FP2 molecular fingerprint which describe the molecular structure information. Then a drug target interaction network is constructed using bipartite graph where in which each node represents a target or drug and each link indicates a drug target interaction. From the above stages, the data contains some noise and redundant data which have a negative impact on the prediction output. So, LASSO (Least Absolute Shrinkage and Selection Operator) method is handle it and reduce the dimension of the extracted feature information of original data. But drug target pair samples have some imbalanced, then cost-sensitive ensemble method is used to address the imbalanced problem between positive and negative samples, and learns about the minority class by assigning higher costs and optimizing their cost error. Finally, the processed data is given as input to the extreme gradient boosting classifier algorithm for predicting new drug target interaction pairs. This method can significantly improve the prediction accuracy of drug target interaction.
Optimal Predictive Model for Large Scale Classification
Authors:   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India., Joshy Anna , Sunny Leya Elizabeth ,   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India., Mathew Linda Sara ,   Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India.
Published: February 2021

Biosensors calculate the expression pattern of multi- ple genes in experimental work. A unique genomic chip is possible to produce levels of expression from multiple genes. The ability to interpret these high-dimensional samples fuels the creation of methods of automated analysis. Even though the existing methods undergo imbalanced problems and less classification accuracy over gene expression datasets.Therefore, a novel computational method has been developed inorder to increase the classification performance of gene expression dataset and accurate disease prediction.By adding fuzzy memberships, we take into account the features of imbalanced data. Within our work, both the sample entropies and the expense for each class decide the fuzzy memberships in order to understand the different samples with various contributors to the judgment boundary. Thus, on imbalanced genomic datasets, the current proposed approach will result in more desirable classification outcomes. In addition, to build a new algorithm, we integrate the fuzzy memberships into current MKL. The results show that the proposed approach will tackle the imbalanced problem and achieve high accuracy rate.
Descriptive Answer Script Grading System using CNN BiLSTM Network
Authors:   Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India., K A Shirien , George Neethu ,   Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India., Varghese Dr. Surekha Mariam ,   Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India.
Published: February 2021

Descriptive answer script assessment and rating program is an automated framework to evaluate the answer scripts correctly. There are several classification schemes in which a piece of text is evaluated on the basis of spelling, semantics and meaning. But, lots of these aren’t successful. Some of the models available to rate the response scripts include Simple Long Short Term Memory (LSTM), Deep LSTM. In addition to that Convolution Neural Network and Bi-directional LSTM is considered here to refine the result. The model uses convolutional neural networks and bidirectional LSTM networks to learn local information of words and capture long-term dependency information of contexts on the Tensorflow and Keras deep learning framework. The embedding semantic representation of texts can be used for computing semantic similarities between pieces of texts and to grade them based on the similarity score. The experiment used methods for data optimization, such as data normalization and dropout, and tested the model on an Automated Student Evaluation Short Response Scoring, a commonly used public dataset. By comparing with the existing systems, the proposed model has achieved the state-of-the-art performance and achieves better results in the accuracy of the test dataset.
Students Query Classification System
Authors:   Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India., Kumar S Nithish , Subhakar M Sai ,   Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India., Reddy S. Sumanth ,   Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India., Veeresh K ,   Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India., N Venkataramana ,   Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India.
Published: February 2021

A University or educational institute generally receives a bulk of complaints posted by students every day. The issues relate to their academics or any issues related to their education or related to exam sections etc., because of these bulk of complaints received from the students every day, makes it difficult for the university to sort out them and classify them and send them to their respective departments for resolving the issues. In this project, we work on classifying these complaints based on the classes or departments they belong to, using. By using TF-IDF (term frequency-inverse document frequency) it finds terms which are more related to a specific document by converting to vectors. By capturing some keywords in the complaints, adding some weight to the keywords and using different Machine Learning classification’s we are classifying the complaint based on these keywords. This classification makes the works easier for the university and saves time which is used to sort them and gives better service for the students. Now they can directly send the complaints to the respective departments with ease.
Strength and Durability of Polystyrene Concrete
Authors:   Formerly, Protective Technology Research Centre, NTU- Singapore Professor in Civil Engineering, SAGE University, Indore, Kulkarni Ankur Arun ,   India.
Published: February 2021

Now a day the construction is having rapid pace, and it has increased the requirement of raw material of construction especially coarse aggregate. In order to conserve the natural resources, use of plastic waste as partial replacement of natural aggregate in production of concrete will be a right step. This research paper discusses about the study and experimental work of “Polystyrene Concrete”, comprising of polystyrene waste shredded aggregates. Polystyrene concrete is a type of concrete, produced from a mixture of cement, sand and expanded polystyrene aggregate (EPS or UEPS aggregates). Thermoplastic polymeric material which is in the beginning in the solid form (UEPS) and it can be expanded by the use of steam and an expansive agent is called as Polystyrene. The polystyrene waste shredded to size of coarse and fine aggregate is used to replace 40% of natural aggregates. Nine trial mixes with varying proportion of these three types of polystyrene waste shredded aggregates and water-cement ratio are used. The workability of the fresh concrete mix as well as compressive strength of concrete at 28 days was obtained. This study has revealed that the polystyrene waste can be effectively used for production of resilient light weight concrete. The polystyrene concrete is best suited material for non-load bearing resilient concrete structures such as partition walls and facades.
COVID 19 Infodemic: Analysis of the Spread and Reach of Misinformation
Authors:   Software Developer, Data Analyst and Digital Marketer based in Pune, Maharashtra, India., Joshi Devashree A.
Published: February 2021

During the COVID-19 pandemic, the circulation of misinformation and fake news has generated lot of fact discrepancies and scientific oversights. Our research aims to comprehensively assess the spread of misinformation regarding COVID-19 and analyze its reach across demographic parameters like age group, gender and country of residence. Data Analysis has been performed using various open-source technologies like Python, Tableau, R Studio by generating diverse visual plots and Word Clouds. For experimental purposes, we considered India and USA as countries of focus and the data was collected accordingly. Furthermore, an independent, original Survey has been designed and conducted to trace the reach of viral, verbatim misinformation articles in both the countries. We studied the misinformation data across parameters like – misinformation types, motives and medium of spread. Our research proved to be of practical relevance, and it is gauged to be beneficial to strategize mitigation measures required to be enforced in not just COVID-19 pandemic like situations but also in various other fields where the misinformation problem persists.
Machine Learning for Diabetic Retinopathy Detection using Image Processing
Authors:   Department of Computer Science, Desh Bhagat University, Mandi Gobindgarh, India., Wasekar Ujwala W. , Bathla R. K. ,   Department of Computer Science, Desh Bhagat University, Mandi Gobindgarh, India.
Published: February 2021

The disorder of Diabetic Retinopathy (DR), a complication of Diabetes that may lead to blindness if not treated at an early stage, is diagnosed by evaluating the retina images of eye. However, the manual grading of images for identifying the seriousness of DR disease requires many resources and it also takes a lot of time. Automated systems give accurate results along with saving time. Ophthalmologists may find it useful in reducing their workload. Proposed work presents the method to correctly identify the lesions and classify DR images efficiently. Blood leaking out of veins form features such as exudates, microaneurysms and haemorrhages, on retina. Image processing techniques assist in DR detection. Median filtering is used on gray scale converted image to reduce noise. The features of the pre-processed images are extracted by textural feature analysis. Optic disc (OD) segmentation methodology is implemented for the removal of OD. Blood vessels are extracted using haar wavelet filters. KNN classifier is applied for classifying retinal image into diseased or healthy .The proposed algorithm is executed in MATLAB software and analyze results with regard to certain parameters such as accuracy, sensitivity, and specificity. The outcomes prove the superiority of the new method with sensitivity of 92.6%, specificity of 87.56% and accuracy of 95% on Diaretdb1 database.
A Cloud Database based on AES 256 GCM Encryption Through Devolving Web application of Accounting Information System
Authors:   Assitant Professor Jouf University (Saudia arabia )& Neelain University (Sudan )., Abdalrahman Alameen
Published: February 2021

The main objective of this research is to use AES 256 GCM encryption and decryption of a web application system database called Accounting Information System (AIS) for achieving more privacy and security in a cloud environment. A cloud environment provides many services such as software, platform, and infrastructure. AIS can use the cloud to store data to achieve accounting with more performance, efficiency, convenience, and cost reduction. On the other hand, cloud environment is not secure because data is kept away from the organization. This paper focuses on how we deal with secure sensitive data such as accounting data AIS web application at web level encryption by using AES 256 GCM encryption to store data as encrypted data at cloud in a secure manner? Accounting Information System (AIS) has very sensitive data and its need to be more secure and safe specially in cloud because it’s not saved at local servers but at another cloud service provider. The storage of encryption and decryption keys are stored in locations and devices different from those in which the database is stored in the cloud for ensuring more safety.
Maximum Power Point Tracking u sing Light Dependent Resistor and DC motor for Solar Photovoltaic System in Kuwait
Authors:   Department of Electrical Power, The Public Authority for Applied Education and Training, Higher Institute of Energy, Kuwait., AlRasheed Khaled S. , Toha Siti Fauziah ,   Department of Mechatronics, Faculty of Engineering, International Islamic University Malaysia., Anuar Hazleen ,   Department of Manufacturing and Materials Engineering, Faculty of Engineering, International Islamic University Malaysia, Malaysia., Buys Yose Fachmi ,   Department of Mechanical Engineering, University of Malaya, Malaysia.
Published: February 2021

In this paper a Maximum Power point (MPP) tracking system is developed using dual-axis DC motor feedback tracking control system. An efficient and accurate DC motor system is used to increase the system efficiency and reduces the solar cell system coast. The suggested automated DC motor control system based on the photovoltaic ( PV ) modules operated with the μ-microcontroller. This servo system will track the sun rays in order to get MPP during the day using direct radiation. A photometric cell is used to sensor the direct sun radiation and to feed a signal to the μ microcontroller and then select the DC motor mechanism to deliver optimum energy. The proposed system is demonstrated through simulation results. Finally, using the proposed system based on microcontroller, the system will be more efficient, minimum cost, and maximum power transfer is obtained.
Effect of Admixing Fly Ash on Cementing Characteristics of Magnesium Oxychloride Cement
Authors:   Department of Chemistry, Govt. RR (PG) College, Alwar, India., Sharma Mrs. Rekha , Yadav Dr. R. N. ,   Department of Chemistry, Govt. RR (PG) College, Alwar, India.
Published: February 2021

Drug repositioning is a compelling technique to find new signs for existing medications. Despite the fact that few exploration have attempted to improve the precision of repositioning by joining information from more than one assets and various levels, it is as yet appealing to additionally review how to effectively abuse significant information for drug repositioning. As contrasted and the customary medication improvement from particle to item, drug repositioning is additional time and worth effective, quickening drug revelation technique. Medication repositioning methods might be ordered as both sicknesses based or drug-based. In this study at, propose an effective strategy, by means of utilizing Adverse Drug Reactions (ADRs) in light of the fact that the middle of the road, a heterogeneous wellbeing network containing drugs, infections, proteins and ADRs is constructed. The repositioning procedure dependent on ADR is equipped for profiling drugs related phenotypic information and can accordingly aid the resulting drugs utilize the disclosure of new recuperating.
Letter of Editor
Authors: Office Editorial
Published: February 2021

We are pleased to announce a new addition to SciencePower Publishing House, LLC journal collection: Journal of Rare Diseases and Orphan Drugs (JRDOD), a peer-reviewed open-access medical journal that publishes original research, reviews, case reports, and letters covering a broad field of its specialty.

Why do we need a new journal? Because the science moves fast all around the Planet and new technology opened new horizons for the prevention and treatment of rare and genetically based disorders.

Rare disease and disorders often need a multidisciplinary care team, deep knowledge of healthcare providers, and extensive patients’ and patient families’ support. It may take years until a disease is recognized and/or diagnosed. Spreading knowledge about rare disease conditions among biomedical scientists and physicians from the different subspecialty fields including genetics, pediatrics, cardiology, pulmonary, gastroenterology, rheumatology, neurology, dietary science, and other related disciplines is one of the goals of this journal, which we will be widely advertised within the medical community.

Patients with special conditions could be “Rare, but Not Alone” and we want to add our voice to those patient advocacies.

We also want to spread knowledge about orphan drugs. Well known fact that an orphan drug is a medication (pharmaceutical) that remains underdeveloped due to the lack of a company to find the drug profitable because the numbers of patients, who will benefit from the treatment, are small and so the potential market for new drugs to treat these rare diseases is also small. This situation fortunately somewhat changed in 1983, when the U.S. Congress passed the Orphan Drug Act. It facilitated and charged the orphan drugs' developmental landscape. Nowadays the FDA established the Office of Orphan Product Development (OOPD) to help with the development of orphan drugs (and other medical products for rare disorders), including FDA support for research grants.

The international medical community has recognized the need to increase research and development of orphan drugs. We hope that our journal will be a small contribution to the promotion of wellbeing of people with rare disease conditions.

Our publisher motto is "Superbi progressu aspiramus ad maximum" (the proud aspire to great promise).

Please, consider submitting your next manuscript to the Journal of Rare Diseases and Orphan Drugs.
Letter from the Editors
Authors: Office Editorial
Published: February 2021

Last year we successfully introduced a new journal: The Journal of Rare Diseases and Orphan Drugs (JRDOD) is a peer-reviewed open-access medical journal that publishes original research, reviews, case reports, and letters covering a broad field of its specialty. We intend to publish articles stimulating to read, educate, and inform readers with the most up-to-date research in genetics, rare diseases, and new orphan drug development in different stages of clinical trials. Journal topics are centered on patients living with undiagnosed rare diseases, the importance of a diagnosis, individual approaches to treatments. We hope that this journal will increase awareness of many difficult to diagnosed and treat medical conditions.
Discovering Rheumatoid Arthritis During Pregnancy
Authors: Diakité Fatoumata , Kodio Boureima , Diallo Seydou , Sangaré Fanta , Touré MohomedineTouré , Cissé Idrissa Ahmadou
Published: February 2021

Rheumatoid arthritis is an autoimmune mechanism disease that preferentially affects women. Remission from rheumatoid arthritis has often been associated with pregnancy.

A 29-year-old woman presented with symmetrical inflammatory polyarthralgias of the large and small joints with morning stiffness estimated at 5 hours, and the Visual Analogue Scale at 80/100 associated with the joint swelling onset 12th week of amenorrhea. She has no medical history, third pregnancy, and no fetal loss has been reported. The physical examination of the day objectified five painful joints and two swollen joints. Disease activity was moderate. There was a biological inflammatory syndrome with a C-Reactive Protein (CRP) at 37.9 mg. Rheumatoid factor was positive at 214 IU (Standard <14 IU), anti-citrullinated peptides antibodies at 99.6 IU (Standard <17 IU).

The pregnancy revealed rheumatoid arthritis positive to rheumatoid factor and citrullinated cyclic anti-peptide antibodies.
Distributed and Asynchronous Coordination of a Mixed-Integer Linear System via Surrogate Lagrangian Relaxation
Authors: Bragin Mikhail , Yan Bing , Luh Peter
Published: February 2021

With the emergence of Internet of Things that allows communications and local computations, and with the vision of Industry 4.0, a foreseeable transition is from centralized system planning and operation toward decentralization with interacting components and subsystems, e.g., self-optimizing factories. In this paper, a new “price-based” decomposition and coordination methodology is developed to efficiently coordinate subsystems such as machines and parts, which are described by Mixed-Integer Linear Programming (MILP) formulations, in a distributed and asynchronous way. To ensure low communication requirements, exchanges between the “coordinator” and subsystems are limited to “prices” (Lagrangian multipliers) broadcast by the coordinator, and to subsystem solutions sent to the coordinator. Asynchronous coordination, however, may lead to convergence difficulties since the order in which subsystem solutions arrive at the coordinator is not predefined as a result of uncertainties in communication and solving times. Under realistic assumptions of finite communication and solve times, convergence of our method is proved by innovatively extending Lyapunov Stability Theory. Numerical testing of generalized assignment problems through simulation demonstrates that the method converges fast and provides near-optimal results, paving the way for self-optimizing factories in the future.
Resolutions Without Resolve: Turning Away from UN Security Council Resolutions to Address Conflict-Related Sexual Violence
Authors: Macfarlane Emma
Published: February 2021

In 2008, the United Nations first recognized rape as a war crime with the passage of U.N. Security Council Resolution 1820. Since then, the fight against conflict-related sexual violence has become a frequent subject of Security Council Resolutions. But what, if anything, has changed? Wartime sexual violence is still prevalent today and shows no signs of slowing down. This Note argues that Security Council Resolutions are not an effective method to prevent conflict-related sexual violence. The procedural weaknesses in passing Security Council Resolutions and the structure of the Security Council itself may do more harm than good to the efforts to end wartime sexual violence. Instead, this Note finds a solution in an unlikely realm: using voluntary pollution prevention programs as a template to address wartime sexual violence. In examining the parallels between the two issues, this Note suggests a new framework for addressing wartime sexual violence, relying on three factors in particular: adequate and consistent funding to key organizations, regular and credible monitoring of vulnerable communities, and the credible threat of enforcement.
ATUAÇÃO FISIOTERAPÊUTICA NA LIPOFUSCINOSE CERÓIDE NEURONAL TIPO 2 (LCN2) -INFANTIL TARDIA: RELATO DE EXPERIÊNCIA
Authors: Monteiro Brenda Beatriz Silva , Leite Daniela Ferreira , Matias Luisa Cabral , Silva Larissa Thais de Oliveira Rosa da , Moreira Rodrigo Canto , Sobral Luciane Lobato
Published: February 2021

Objetivo: relatar a atuação fisioterapêutica na lipofuscinose ceróide neuronal tipo 2 infantil tardia. Metodologia: relato de experiência, prospectivo, longitudinal de caráter qualitativo, desenvolvido a partir da vivência prática do estágio supervisionado obrigatório em Fisioterapia Neurofuncional, do quinto ano do curso de Fisioterapia da Universidade do Estado do Pará (UEPA) realizado na Unidade de Ensino e Assistência de Fisioterapia e Terapia Ocupacional (UEAFTO) no Ambulatório de Neurofuncional da mesma Instituição, localizado no campus II em Belém-PA. Resultados: Criança, 4 anos, sexo masculino. Os atendimentos ocorreram no turno matutino, de 8 a 12 horas, de segunda a sexta-feira, sendo os serviços ofertados por uma equipe composta de três discentes do 50 ano do curso de fisioterapia da UEPA, além de dois docentes/fisioterapeutas e pela fisioterapeuta responsável técnica do setor. De acordo com o laudo fisioterapêutico, o atendimento iniciou no dia 25/09/2020, sendo na avaliação inicial relatado como queixa principal a marcha em equino, quedas frequentes e dificuldades em realizar atividades de coordenação motora grossa como pular, correr, escalar e escorregar. Conclusão: O atendimento multiprofissional na LCN2 é fundamental para minimizar as possíveis complicações que a doença pode causar. Sendo assim, a atuação fisioterapêutica torna - se imprescindível para a estimulação motora e sensorial.
Perfectionism: causes and development characteristics
Authors:   ADPU nəzdində Pedaqoji kollec, Mansimova Kifayat Gurban
Published: February 2021

Perfeksionizm - mürəkkəb haldır, onun təsiri insan həyatının bütün sahələrini əhatə edə bilər. Normal “perfeksionizm” zamanı insan səyli işdən məmnun olur, özünü inkişafa və nəticələrin yaxşılaşdırılmasına can atır, bununla belə öz şəxsiyyət və ya vəziyyət mükəmməlliyinin hüdudunun olması faktını qəbul etmək qabiliyyətində olur. Nevrotik perfeksionizm zamanı insana hər şey yetəri qədər mükəmməl görsənmir. Dərinlərə kök salan tam dəyərli olmama və zəiflik hissi onu həddən artıq özünü dağıdıcı səylər dairəsinə çəkir və hər bir iş və ya vəzifə növbəti təhdidedici çağırışa çevrilir. Perfeksionizm bütün neqatif psixoloji hallarda olduğu kimi əslində dərin səbəblərlə izah olunur. Bu səbəblər sırasında aşırı dərəcədə vicdanlı olmaq, özünə qarşı yüksək tənqidi yanaşma və bəzən bu yanaşmaları digərlərindən də gözləməyi qeyd etmək olar. İnsanlar arasında risk qrupuna o kəslər aid olunur ki, onların inkişaf etmək və nailiyyət əldə etmək istəyi həddi aşmış olur. Açar sözlər: perfeksionizm, neqativ perfeksionizm, pozitiv perfeksionizm, natamamlıq hissi, gərginlik, stress, depressiya
The motivation for success, self-regulation, and educational success
Authors:   ADPU nəzdində Pedaqoji Kollec, Mansimova Kifayat Gurban
Published: February 2021

There is a significant increase in society's interest in the realization of human intellectual, personal and creative potential as the main source of achievements, which is the basis for the progressive formation of a high-tech society. The achievements of adolescents and young people in education are the potential of the nation and determine the competitiveness required for the further progress and formation of society. Different motivations are applied during vocational training. Among them, cognitive, professional motives, motives for creative achievement, motives for status development, motives for self-realization and material motives have a significant place. One of the main tasks of modernizing the activities of current education, teachers, and school psychological services is to form a student who actively and independently acquires social knowledge, understands the importance of education and self-knowledge for their future life. As a subject of education, the learner is able to selectively and independently set actual and long-term goals, direct and support his activities, organize and also manage educational activities. Key words: self-analysis, self-regulation, education, motivation, purpose, result, vocational training, new educational standards
Teaching geography of Azerbaijan in the content of geography subject in secondary schools of general education
Authors:   Bakı Dövlət Univeristeti, Tagiyeva Aytaj Vazeh
Published: February 2021

Summary In the modern period of reforms in the education system of our country, large-scale changes are reflected in the teaching of geography, including the teaching of geography in Azerbaijan. Thus, in the country's secondary schools, Azerbaijani geography is taught in all classes on the basis of the principle of succession in geography. Geography of Azerbaijan plays an important role in the teaching of geography in secondary schools. Out of 57 subjects taught in the 10th grade, 16 subjects are taught entirely in Azerbaijani geography. In the 11th grade, 7 out of 44 topics are discussed in their entirety, the geography of Azerbaijan. In addition, the information on the geography of Azerbaijan is reflected in the structure of the problem situation, asking research questions, systematization of information, creative application of the lesson, assessment stages. Key words: education, training, geography of Azerbaijan, map, analysis, assessment, teaching unit, subject, text, illustration, assignment
The impact of the information factor on modern international relations
Authors:   Bakı Dövlət Univeristeti, Hasanova Gulnaz Tahir
Published: February 2021

This study aims to highlight the growing strategic importance that cyberspace is gaining in the dynamics of international politics. After land, sea, air, and outer space, cyberspace is the fifth dimension of conflict. The type of non-military weapons used to fight, as well as the subjects targeted, make civilian systems new centers of gravity to defend against an enemy that most often "operates in the shadows." The international scenario rmation revolution (which contributed to the "democratization of information"), is radically evolving from a unipolar (American-led) to an almost multipolar architecture. The Internet today is an indispensable communication and information network for various legal and illegal subjects of international relations. Social networks (Facebook, Twitter, Telegram) play a very important role in this process. The Internet can also allow manipulation or even destabilization of the international community with the spread of false information (fake news). It is also a field for intelligence activities. Finally, the Internet is becoming the field of a new form of confrontation. Thus, both states and private actors protect themselves from possible cyber attacks by developing cybersecurity. In anticipation of this, states are developing cyberspace strategies and military-digital capabilities. Key words: international relations, information, cyberspace, cybersecurity, territorial integrity, state, subjects of international relations, information warfare