bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy Simple Partially Ordered Γ- Semigroups
Authors: K.V.Naga Lakshmi, N.Srimannarayana Srinivas Telikepalli, A. Gangadhara Rao,
Published: April 2021

In this paper, it is shown that and are respectively fuzzy left and fuzzy right ideals of S. S is a fuzzy left(right) simple po- Γ -semigroup   ( ) . 

It is proved that for any semi group S “TFAE”

(1) S is left(right) simple po- Γ -semigroup.

(2) S is  a fuzzy left(right)simple Γ-semigroup. 

The union of all proper fuzzy ideals of S is the only fuzzy maximal ideal of S ,where S is a PO -Γ-Semigroupwith 'e', unity.
Results On Generalized Regular And Strongly Regular Near-Rings
Authors: Radharani Tammileti Sowjanya Marisetti, Gangadhara rao Ankata,
Published: April 2021

Some results on r-regular (r-RN) and also in s-weakly regular (s-WRN)near-rings were established in this article. It is proved that for a near-ring ℋ  is s-WRN, then ℋ is simple iff ℋ is integral. And also proved that for an r-RN ℋ with unity and satisfies IFP, then ℋ has the strong IFP iff ℋ is a PSN.
Green Cloud Computing: E-Commerce Case Study
Authors: Murad Sharefa
Published: April 2021

Cloud computing is getting probably the most objective, purpose, and dreams in most IT organizations on account of the advantages they are getting by relocating their advancements into it like expense and asset sparing. Green blurring processing is turning into a significant pattern with a solid relationship with distributed computing. It is about green and productivity that won't just prompt a superior business yet in addition a superior world. This paper will discuss a major phase of the software development life cycle, which is an arrangement, and how the selection of sending computerization is superior to the manual one particularly in a manner to make your cloud green.
Assessing the Impact of Electric Vehicle Fleets on a Multi-Microgrids System Under Different Operating Modes
Authors: Mabrouk Elmehdi
Published: April 2021

The Global climate change and the lack of fossil fuels reserves have already had observable effects on the environment. Therefore, an undeniable investment is being made to respond these heavy challenges and to accelerate the momentum towards further embracing the electrification of transportation in smart microgrids, energy efficiency and clean energy production. The paper presents a novel cost-effective management of non-renewable resources of a multi-microgrid system under different operating modes (islanded, connected) with integrating renewable energy sources. Also, we investigate the impact of controlling vehicle-to-grid (V2G) operations on the multi-microgrid system by establishing a coordinated charging control strategy for plug-in electric vehicles (PEVs) with the aim of obtaining the maximum benefit from the grid as well as minimize the overall operating cost of the system. Both, the management of the multi-microgrid system and the EVs charging strategy have been formulated and solved using the Genetic Algorithm (GA), where the obtained results have shown that this method increases the quality, and the efficiency of obtained day-ahead scheduling solutions under any operating mode.
Personal Liability Of Director Of A Company In Insolvency & Investor Frauds Cases
Authors: Kausar Dr. Hina
Published: April 2021

The present paper contributes to the understanding of impact of corporate scams and scandals and understanding the reason how these frauds and white-collar crimes impact the investors trust and business environment as a whole. When these scams occur the trust of investors break with each and every turnout. The impact of such corporate scams is not limited to the company where it took place but to each and every business, be it big corporate units or it be some small-scale businesses by directly impacting the stock exchange where the shares are listed. The authors have also tried to focus upon the issues and problems faced by the investors of the company while the company got involved in corporate scams and to figure out the responsible person of the company who will be held accountable in such kind of cases. The present study is limited to the extent of personal liability of a Director and too specifically in the cases of fraud and insolvency. White collar crimes are everywhere these days and that need to be treated as a growing branch of the Criminal law in India. With increase in the Globalization companies are growing and along with it the stakeholders of the company are also growing, any scam done will step back the investors to invest again and more in the company. Thereby with increase in the market share of a company the director of the Company has to establish an internal mechanism to tackle various white -collar crimes nurtured and how these are dealt in the court of law.
Predictors Of Social Networking Sites (SNS) Influence For Restaurant Industry
Authors: Dogra Pallavi
Published: April 2021

: Social networking websites serve the purpose of connecting with each other. But nowadays it serves various other uses such as marketing purpose, shopping platform, review engine and many more. The main aim of the present paper is to explore the factors that affect the customers visit towards the restaurant influenced due to reviews mentioned on the social networking websites. Primary data was collected from 332 respondents belonging to the cities such as Mathura, Agra, Firozabad, and Allahabad. Non disguised questionnaire was used for the data collection purpose. Exploratory factor analysis has been applied on the collected data. The results of the study found five factors such as SNS Engagement, Conformity to trend, Social Prestige, Quality Perception, social influence on SNS which are affecting the customer’s views towards restaurant reviews.
A Study on Impact of Covid-19 Over Employee Mental Wellness
Authors: Saxena Dr. Ankita
Published: April 2021

Due to the current unprecedented catastrophe situation, the entire world is struggling hard not only in terms of physical health but in terms of mental wellness too. The people are surrounded by various uncertainties. The present time is giving rise to various distress like anxiety, depression, mental burnout. With the help of conceptual study, we analyzed the influence of present epidemic condition on employee psychological wellness. By drawing certain stressors like unemployment, job cuts, isolation, financial worries, zoom fatigue, panic buying, we measured the impact on mental well-being logically by critically examining the available literature. The search for articles was made in Google scholar, Web of Science scholar. Further, the study reveals that individuals are such a lot of terrified of getting COVID-19 that they are even ending up their life because of panic stigma or due to socio-economic reasons. Finally, we have proposed that how the role of HRM can be used as a way of handling such problem by introducing various organizational initiatives like building a strong emotional and psychological connect with their employees, providing word of assurance to curtail the hitches which employees are facing.
Improving the Pedagogical Conditions of Preparing Students for Sports Competitions
Authors: Saparniyazov Sansizbay Kadirniyazovich
Published: April 2021

Relevance. Sports competitions are one of the most effective forms of organizing mass health-improving and sports work. Competitions act not only as a form, but also as a means of enhancing the general physical, sports-applied and sports training of students.

Aim. This article is written about improving the pedagogical conditions for preparing students for sports competitions.

Methods. In this article were used methods of analysis of scientific and methodological literature on the research topic; study of educational and normative documentation, state educational standard and curriculum; study of programs and curriculum - thematic plans, work experience of institutions of additional education; analysis of the results of the activities of teachers-trainers and students of the Faculty of Physical Education; ascertaining experiment; pedagogical observation; individual conversations with participants in the educational process; pedagogical experiment; mathematical and statistical methods of data processing, etc.

Results. The types of competence, researches of scientists on the chosen topic are analyzed.

Conclusion. Conclusions are given about the forms, methods and means for the improvement of pedagogical conditions for preparing students for sports competitions.
The Indian Corporate Board Efficiency and its Impact on Financial Performance
Authors: Sarim Mohd
Published: April 2021

The objective of the study is to explore the board characteristics and its impact on the ﬁnancial performance of Indian companies. The sample comprises of top 100 companies listed on the Bombay Stock Exchange for the financial year 2018-2019. The data required for the analysis was collected from the annual reports of the companies available at their respective websites and from the Prowess database of the Centre for Monitoring of Indian Economy. The paper constructed sub-indices for the board as board composition index, board independence index and board disclosure index. Combining all sub-indices, we formed the Board Composite Index. Further, the data was analysed to draw meaningful conclusions. Firm size is used as a controlling variable. The results show that there is a strong relationship between board indicators and return on asset.
Critical Success Factors of Knowledge on Sustainability in Malaysian Higher Education.
Authors: Ahmad Fauzi Mohd Ayub, Amir Hamzah Sharaai Aini Arifah binti Abdul Karim, Sabrina Abdullah,
Published: April 2021

This study aims to investigate Malaysia’s Institutes of Teacher Education (ITE) students’ knowledge on sustainability toward environmentallysustainable behaviour (ESB).The model adapted is based on Hines, Hungerford and Tomera’s Environmental Responsible Behaviour Model which was established since 1987.The nature of this study was descriptive, and the data were collected using cross-sectional survey. A total of 425 participants responded to a questionnaire developed for this study. Several procedure was carried out in order to assess the validity and reliability of the questionnaire using PLS-SEM.The study revealed that the Malaysian Higher Education students showed a high level of knowledge of sustainability action skills, knowledge of sustainability strategies and knowledge of sustainability issues toward ESB and the environment. Findings associated with students’ gender, age, ethnicity, field of study and academic program were also reported and discussed.First, the participating students came from Institutions of Teacher Education. Although this institution is a major teacher training centre in the nation, further studies should include samples from other public and private institutions. Second, this study did not examine the correlation among the three main components: knowledge of sustainability action skills, knowledge of sustainability strategies and knowledge of sustainability issues.Limited studies have been conducted in Malaysia on ITE although the institutionsare supporting ESD through the Sustainable ITE program. Therefore, this study is exploring the critical success factors of knowledge on sustainability action skills, knowledge on sustainability strategies and knowledge on sustainability issues on environmentally sustainable behaviour ofteacher candidate students in Malaysia. In addition, past studies have recommended to investigate and look into the environmentally sustainablebehaviour among the younger generations, especially those with higher education levels, especially because inevitably, they are agents of change, and also they will be affected by the environmental issues that are caused by the current human activities.

This paper also providesvaluable insights that foster a much better understanding in regards to the role of Institutions of Teacher Education (ITE) in assisting sustainable development, addressingthe important key issues to be considered in education system.
Assessment Of Water Quality And Bottom Supplies In The Bottom Of The Mekong River
Authors: Et al. Glazunova Irina Viktorovna
Published: April 2021

The article presents the results of studies of the content of heavy metals in bottom sediments in the lower reaches of the Mekong River (3 estuaries in Ben Tre). The results of the content of heavy metals for 20 research sites were analyzed and compared with the national standards of Vietnam, which are used to assess the level of adverse effects on aquatic animals and river ecosystems, as well as with similar standards adopted in various countries of the world. When compared with the standards, the content of heavy metals in the study area (Ben Tre province) was quite high. The tributaries flowing into the main river also have a relatively high content of heavy metals, which proves that, in addition to pollution from the upper reaches of the river, socio-economic activities in the catchment, including land reclamation, also have a strong effect on the accumulation of heavy metals in channel sediments. In addition, the authors, comparing the content of heavy metals, both with the established standards of Vietnam and with the standards of some countries of the world, creating a basis for rational agriculture and sustainable development.
Mathematical Connections Of Students Based On Learning Style Using Blended Learning
Authors: N K Dwidayati Hardi, H Suyitno, Kartono,
Published: April 2021

In the process of learning mathematics many students can not make connections in mathematics, thus causing the ability of students in mathematical connections to be low. This problem is characterized by insufficient methods and approaches to improve math achievement in students.The purpose of this study was to find out the difference in mathematical connection ability of students of Madrasah Ibtidaiyah Teacher Education (PGMI) IAIN Surakarta reviewed from the learning style by using blended learning. Based on the results of the study showed that there are differences in the ability of mathematical connections of students who use blended learning and expository. Blended learning tends to have higher value than expository learning. Indicators of connection with other science disciplines scored highest for both control and experiment classes. As for the learning style in the highest comprehension experiment class for mathematical connections, students have the type of audio learning style while the lowest for visual learning style type.
A Block Classification Method with Monitor and Restriction in NAND Flash memory
Authors: Lee Myungsub
Published: April 2021

In this paper, we propose a block classification with monitor and restriction (BCMR) method to isolate and reduce the interference of blocks in garbage collection and wear leveling. The proposed method monitors the endurance variation of blocks during garbage collection and detects hot blocks by making a restriction condition based on this information. This method induces block classification by its update frequency for garbage collection and wear leveling, resulting in a prolonged lifespan for NAND flash memory systems. The performance evaluation results show that the BCMR method prolonged the life of NAND flash memory systems by 3.95% and reduced the standard deviation per block by 7.4%, on average.
A Study on Radar Target Detection using Space Time Adaptive Processing Algorithm and LCMV Algorithm
Authors: Lee Kwan-Hyeong
Published: April 2021

In this paper, we study the directionof arrival estimation of the desired target in adaptive array MV algorithm to update the weight, and the optimized weight removes the interference signal. The target signal is estimated using the optimized weight vector and the high resolution the direction of arrival estimation MUSIC algorithm. We calculate the inverse of the correlation matrix using the QR method to reduce the processing power consumption of the optimized weight. The optimal weight vector is applied to the proposed algorithm to estimate the desired target direction from the output power spectrum. The performance of the proposed method is compared with the existing method by simulation. The experimental method estimates three targets from the antenna received signal. The existing method did not estimate the three desired targets at [-30o,-20, -10o]. The proposed method accurately estimates the desired three targets at [-30o,-20, -10o]. In the [-10o, 0, 10o] target estimation, the existing method reduces the estimated resolution of the target, but the proposed method accurately estimates the target. We proved that the proposed method in the simulation was superior to the existing method.
A Study on Self-Diagnosis Method to Prevent the Spread of COVID-19 Based on SVM
Authors: Seong-Hee Yeo, Min-Soo Kang Young-Sang Kwak, Seo-Won Song,
Published: April 2021

In this paper, a study was conducted to find a self-diagnosis method to prevent the spread of COVID-19 based on machine learning. COVID-19 is an infectious disease caused by a newly discovered coronavirus. According to WHO(World Health Organization)’s situation report published on May 18th, 2020, COVID-19 has already affected 4,600,000 cases and 310,000 deaths globally and still increasing. The most severe problem of COVID-19 virus is that it spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, which occurs in everyday life. And also, at this time, there are no specific vaccines or treatments for COVID-19.Because of the secure diffusion method and the absence of a vaccine, it is essential to self-diagnose or do a self-diagnosis questionnaire whenever possible. But self-diagnosing has too many questions, and ambiguous standards also take time. Therefore, in this study, using SVM(Support Vector Machine), Decision Tree and correlation analysis found two vital factors to predict the infection of the COVID-19 virus with an accuracy of 80%. Applying the result proposed in this paper, people can self-diagnose quickly to prevent COVID-19 and further prevent the spread of COVID-19.
Analysis of Core Technologies and Implementation Services for Smart City
Authors: Han-Yong Choi Jae-saeng Kim,
Published: April 2021

Smart City Platform is a software that optimally allocates resources and provides services to citizens by utilizing ICT technologies such as artificial intelligence, IoT, virtual reality, augmented reality, and 5G mobile communication to solve various urban problems occurring in the city.In order to implement the Smart City environment, basic platform technologies such as artificial intelligence, big data, network, Internet of Things(IoT) and Cloud computing are essential.In this paper, we used the big data analysis tool ‘BigKinds’ to lookup the topic 'Smart City Technology' and 'Smart City IoT' in news, editorials and quotations. After analyzing them, we then derived the core technologies needed in building a Smart City. Furthermore, we introduced the concept of the basic Smart City technologies and then deduced implications and drew a conclusion by analyzing both the local and foreign Smart City construction services. In addition, it compared and analyzed the core technologies for supporting services in various smart cities.The Smart City’s basic technologies and service analysis can be utilized by the local government to effectively establish policies and technology strategies in the Smart City industry.
A Study on Estimation and Prediction of Vector Time Series Model Using Financial Big Data (Interest Rates)
Authors: Chang-Ho An Jae-Hyun Kim,
Published: April 2021

Due to the global economic downturn, the Korean economy continues to slump. Hereupon the Bank of Korea implemented a monetary policy of cutting the base rate to actively respond to the economic slowdown and low prices. Economists have been trying to predict and analyze interest rate hikes and cuts. Therefore, in this study, a prediction model was estimated and evaluated using vector autoregressive model with time series data of long- and short-term interest rates. The data used for this purpose were call rate (1 day), loan interest rate, and Treasury rate (3 years) between January 2002 and December 2019, which were extracted monthly from the Bank of Korea database and used as variables, and a vector autoregressive (VAR) model was used as a research model. The stationarity test of variables was confirmed by the ADF-unit root test. Bidirectional linear dependency relationship between variables was confirmed by the Granger causality test. For the model identification, AICC, SBC, and HQC statistics, which were the minimum information criteria, were used. The significance of the parameters was confirmed through t-tests, and the fitness of the estimated prediction model was confirmed by the significance test of the cross-correlation matrix and the multivariate Portmanteau test. As a result of predicting call rate, loan interest rate, and Treasury rate using the prediction model presented in this study, it is predicted that interest rates will continue to drop.
Evacuation Safety Evaluation in the Event of a Fire in a Shopping Center with a Connected Passageway in Korea
Authors: Ha-Sung Kong Seo-Young Kim,
Published: April 2021

In this study, scenarios were developed to evaluate evacuation safety in the event of a fire in a shopping center with a connected passageway and to reduce Required Safe Egress Time (RSET). The RSET for all occupants by scenario is as follows: The first scenario which used the general evacuation route took 20 minutes and 7 seconds. The second scenario which used the third floor’s connected passageway for third and fourth floor, and using first floor entrance for first and second floor to evacuate took 14 minutes and 11 seconds. The evacuation time was 36 minutes and 52 seconds for scenario 3, which only used the fire escape stairs. The fourth scenario took 4 minutes and 19 seconds and used a connected passageway on every floor. Overall, this study shows that RSET for all occupants is reduced when a connected passageway is installed on every floor in shopping centers. Henceforth, more research is needed to determine whether connected passageway is a single firefighting object or a separate structure.
Evaluation, Satisfaction, and Loyalty in the Context of Green Credit Card Services: Green Ethics as a Moderator
Authors: Kim Moon-Yong
Published: April 2021

This research aims to examine the relationships among evaluation of green credit card services, overall satisfaction with green credit card services, and loyalty to green credit cards.In addition, this search examines whether consumers’ green ethics moderates the relationship between evaluation of green credit card services and loyalty to green credit cards. An online survey (N = 2,000) was conducted to test the hypotheses. Consistent with all the hypotheses, the results indicate that (1) evaluation of green credit card services has a positive effect on overall satisfaction with green credit card services (hypothesis 1); (2) evaluation of green credit card services has a positive effect on loyalty to green credit cards (hypothesis 2); (3) overall satisfaction with green credit card services has a positive effect on loyalty to green credit cards (hypothesis 3); (4) overall satisfaction with green credit card services mediates the relationship between evaluation of green credit card services and loyalty to green credit cards (hypothesis 4); and (5) the magnitude of the positive effect of evaluation of green credit card services on loyalty to green credit cards increases as individuals’ green ethics decreases (hypothesis 5).
A Clinical Study on Anti-wrinkle Efficacy of a Cosmetics Containing Oligoarginine Conjugation of Palmitoyl-GHK peptide for Skin Penetrating
Authors: Jinseo Lee, Hoon Cha, Moon Sam Shin Su-In Park, Soo Hyeon Heo,
Published: April 2021

In this study, Arg 4 (R4) was conjugated with Pal-GHK to get palmitoyl heptapeptide, Pal-GHK‐R4 and wrinkle improvement clinical trials of cosmetics containing Pal-GHK‐R4 were conducted. As a result of total 21 subjects used the test products 4 weeks use on the face area; 1) measurement results of crow’s feet after 2 and 4 weeks of test products use, analysis value of crow’s feet statistically significantly decreased after 2 and 4 weeks of test products use compared to before use of products (p<0.05); 2) measurement results of skin moisturization after 2 and 4 weeks test products use, measured value of skin moisture content statistically significantly increased after 2 and 4 weeks use compared to before use of products (p<0.05); 3) measurement results of TEWL after 2 and 4 weeks use, measured value of TEWL statistically significantly decreased after 2 and 4 weeks use compared to before use of product(p<0.05); 4) there was no skin adverse event reported after using the products during the study period. Therefore, the test products containing both wrinkle improving and skin penetrating peptides, Pal-GHK‐R4 are considered to have beneficial effects on improvement of skin wrinkle, moisturization, transepidermal water loss(TEWL) after 2 and 4 weeks use of test product.
Antimicrobial, Antioxidative, Elastase and Tyrosinase Inhibitory Effect of Supercritical and Hydrothermal Halopteris scoparia Extract
Authors: Jinseo Lee, Sung Won Jung,Moon Sam Shin Soo Hyeon Heo, Su In Park,
Published: April 2021

To find out a good candidate of cosmetic source and screened for antimicrobial, antioxidant and whitening activities. In the antioxidant experiment, supercritical Halopteris scoparia extraction (SHE) and hydrothermal Halopteris scoparia extraction (HHE) were slightly different depending on the experimental method (Total polyphenol content measurement, DPPH radical scavenging ability, ABTS radical scavenging ability, and SOD-like activity) and in the enzyme experiment (Elastase, Tyrosinase inhibition activity), the supercritical extract was more effective. In supercritical fluid, Halopteris scoparia extracts showed good antimicrobial activity against Propionibacterium acnes, Staphylococcus aureus, Bacillus subtilis and Escherichia coli but hydrothermal extract had no effect about the rest of the strains. Therefore, it can be expected that the supercritical Halopteris scoparia extract with excellent antibacterial activity can be used as a cosmetic material.
Revision Of A Standard For The Test Of A Toilet-Incorporated Medical Electric Bed
Authors: Kiwon Choi , In-Ho Hwang , Sangsoo Park Ho Jun Yeom , Seokmin Lee ,
Published: April 2021

We developed a toilet-incorporated electric medical bed for bedridden patients, in which a toilet basin, or a commode, is incorporated in the pelvic plate of an electric medical bed. A replaceable toilet seat is located in the mattress of the bed, and toilet basin was tightly attached on the pelvic plate the bed.  The excretion slides through a storage tube that angles toward the side of the bed and is automatically collected in a disposable plastic bag. We, however, encountered a problem with testing this newly developed medical bed with the relevant international standard IEC 60601-2-52:2009, or with the corresponding Korean standard KS P 0388:2012--Electrically operated adjustable bed for home care. There was no clear indication in the scopes of the above standards as to whether this standard testing method is applicable to an electric medical bed embedded with a commode. We revised the Korean standard KS P 0388:2012 to accommodate the toilet-incorporated medical bed in the scope of the standard and successfully performed the mechanical tests including the durability, impact, and deformation test of the bed, proving that the newly developed toilet-incorporated medical bed is mechanically strong and durable enough to pass the standard tests.
Effective Diagnosis of Coronary Artery Disease using Case-based Reasoning
Authors: Hojin Nam, Minseo Rhee, Jeung-Sun Lee Yong-Gyu Jung, Bumsu Kim,
Published: April 2021

With the advent of big data, data mining is more increasingly utilized in various decision-making fields by extracting hidden and meaningful information from large amounts of data. Even as exponential increase of the request of unrevealing the hidden meaning behind data, it becomes more and more important to decide to select which data mining algorithm and how to use it. There are several mainly used data mining algorithms in biology and clinics highlighted; Logistic regression, Neural networks, Support vector machine, and variety of statistical techniques. Among them Case-based reasoning (CBR) is relatively seems to be simplistic but very powerful to disclose unseeable problems in complex environments with only simplistic use of the above single technique for prediction of nonlinear models. On the other hand, quantities of the human momentum and activities are more diminished, whereas lifestyle of drinking, smoking and western eating habits are changing, and thus such as the unrevealed risks caused by heart attack or angina are growing up more and more. Therefore according to the increase of patients suffering from heart disease, a number of data mining studies are undergoing to assist medical doctors by prediction of whether to perform coronary angiography which requiring much resources in cost and procedures. Our study uses the same datasets on heart disease patients, that made use of multiple datasets collected from Cleveland, Hungary, Long Beach and Switzerland. Unlike the approach of , we observed that the experimental dataset is composed of multiple populations. And they are similar in use of same kinds of disease patients but different in the time and area of investigation. Through the experimental results, CBR made better performance than the techniques proposed from the original study for the disease prediction. Consequently we conclude effective diagnosis prediction must accompany with selection of the data mining technique considering the characteristics of samples and data collection.
Best Proximity Point Thorem For Generalized (
Authors: S Arul Ravi
Published: April 2021

In this paper, we establish a new convergence theorem for best proximity of weak contractions in Branciari type generalized metric spaces under weak conditions.
Technological Transformation And Progress Of Agricultural Development In Gudiyattam Taluk – An Assessment
Authors: Yoganandham Dr. G.
Published: April 2021

The present day farming habitually employ trendy know-how such as automation, warmth and moisture sensors, aerial images, and GPS know-how. These highly developed devices and accuracy farming and mechanical structure permit business to be more money-making, competent, safer, and extra environmentally gracious. Contemporary farming knowledge is used to develop the wide types of production learn working by farmers. It is the basis of technological transformation. Advocating technology transfer should believe the various kinds of social capital as a choice policy alternative to the existing top down move towards in order to get better smallholder source of revenue. The key technological know-how modernization in the breathing space encompass paying attention about the areas such as indoor vertical farming, automation and robotics, livestock technology, modern greenhouse practices, precision agriculture and artificial intelligence, and block chain.

               Contemporary agricultural practices use mechanized tools for irrigation, tilling and harvesting beside with hybrid seeds. In India, the cultivation know-how are labour intensive, whereas the contemporary agriculture equipment are mostly capital intensive. In this background, the researcher mainly concentrates on Technological Transformation and Progress of Agricultural Development in Gudiyattam Taluk of Vellore of Tamil Nadu in analytical perspectives.
Kinetic features of the dopamine release and uptake in the dorsal and ventral striatum of rats
Authors: Mukhin Valery N. , Borovets Ivan R. , Sizov Vadim V. , Pavlov Konstantin I. , Klimenko Victor M.
Published: April 2021

Kinetics of the evoked dopamine release and subsequent uptake in the parts of the rat striatum has not been studied sufficiently.
The aim of this study is to fill this gap and to investigate kinetics of dopamine release and uptake in vivo so that comparison can be made between the dorsal and the parts of the ventral striatum and with taking into account the overlapping electrochemical factors during the subsequent analysis of voltammetry recordings.
Materials and methods. The evoked wave of dopamine release and uptake in the dorsal striatum, core, and shell of the nucleus accumbens in the different groups of rats was recorded by the fast-scan cyclic voltammetry. Voltammetry recordings were subjected to principal component analysis and only the components associated with dopamine were taken for further analysis. The values of the parameters of the curves of dopamine release and uptake were defined. Then factor and variance analyses of the parameters were carried out.
Results. Factor analysis showed that the set of parameters of the dopamine wave can be reduced to the 4 factors that are comparable with the variables of the known from the literature mathematical model that describes the dopamine wave based on the MichaelisMenten equation. Two of the factors and the corresponding parameters of the dopamine curve differ within the dorsal and ventral striatum. Factor 1 is associated with the parameters HL, T80_20, T20_0, slope_T20T0, which are significantly larger in the core of the nucleus accumbens. Factor 3 is associated with the parameters T50_2, AUC, FWHH, T100_80 which are significantly less in the dorsal striatum.
Conclusions. The parameters of the curve of dopamine release and uptake are determined by 4 factors. Among the dopamine curve parameters, the best measures of the factors are T50_1, DAC, T100_80 и T20_0. The kinetics of stimulated dopamine release and uptake varies within the dorsal and ventral striatum. The final phase of dopamine uptake is slowed in the core of the nucleus accumbens in comparison to the shell, and the dorsal striatum. The slope of initial phase of dopamine uptake in the dorsal striatum is steeper.
Role of ultrasound and electro-diagnostic studies in the diagnosis of carpal tunnel syndrome: A comparative study
Authors: Tungoe Benthungo N. , Chopra Rajesh Kumar , Agarwal Yatish , Jaiman Ashish
Published: April 2021

BACKGROUND: The current gold standard for the diagnosis of Carpal tunnel syndrome (CTS) is a topic of debate. Nerve conduction studies (NCS) traditionally have been used as the confirmatory test; however, ultrasound (USG) has garnered interest as an alternative diagnostic test for CTS. Ultrasound measurement of the cross sectional area of the median nerve at the carpal tunnel has been proposed as an alternative for confirmation of CTS.
AIM: The aim of the study was to compare the sensitivity and specificity between Ultrasound and Electro-diagnostic Studies in the diagnosis of Carpal Tunnel Syndrome with reference to a validated clinical diagnostic tool i.e. CTS- 6; that combines findings from the history and physical examination.
MATERIALS AND METHODS: 40 (20 Cases and 20 controls) adult patients and adolescents of both sexes with complain of pain and paraesthesia in upper limb were included in this cross sectional study. All patients were evaluated using CTS-6 clinical diagnostic tool. Those patients with CTS score12 were considered as positive diagnosis for Carpal Tunnel Syndrome (cases) (Main group). Those patients with CTS Score12 were taken as Controls. Ultrasound and Electro-diagnostic Studies were performed by individuals blinded to the results of the CTS-6 and ultrasound examination.
RESULTS: We found that USG have sensitivity of 90%, specificity of 85%, and positive predictive value of 85.71% and negative predictive value of 89.47%. Whereas NCS have sensitivity of 85%, specificity of 80%, positive predictive value of 80.95% and negative predictive value of 84.21%.
CONCLUSION: Using CTS-6 clinical tool as a standard reference, the sensitivity and specificity of USG is more than that of NCS.
Trauma rates in children in the period of restrictive measures related to the spread of the new coronavirus infection (COVID-19)
Authors: Kuptsova Olga A. , Zaletina Anna V. , Vissarionov Sergey V. , Baindurashvili Alexey G. , Mikava Avtandil G. , Aleksandrov Sergei V.
Published: April 2021

BACKGROUND: Due to the spread of the novel coronavirus infection (COVID-19) and the introduction of restrictive measures to prevent its spread, there has been a change in the organization and work of medical institutions. New rules for admitting patients with injuries, limiting hospitalization of planned patients, examining patients for coronavirus infection, examining parents of children with injuries, conducting remote consultations, and identifying areas without COVID-19 for repeated outpatient care have been introduced in trauma centers and hospitals. New conditions for the organization and functioning of outpatient and inpatient departments have had an impact on the picture of child trauma.
AIM: This study aims to conduct a comparative analysis of the level and nature of musculoskeletal injuries in children who sought medical care during the COVID-19 pandemic and injuries that occurred during the same period of the previous year.
MATERIALS AND METHODS: The analysis of the medical history data of 3820 patients aged 0 to 17 years, who were admitted to the City Center for Outpatient Surgery and Trauma of St. Petersburg St. Mary Magdalene Childrens City Hospital No. 2 during the period from March 16, 2020, to May 31, 2020, and for the same period in 2019.
RESULTS: The number of initial visits with trauma in 2019 was 2851 patients, whereas during the same period in 2020, 969 patients came with trauma. In general, during the study period in 2020, the trauma rate decreased by 66% compared with the same period in 2019. Despite the general decrease in the level of injuries in the study period in 2020, in the injured structures of the musculoskeletal system, the proportion of limb fractures was 35% and exceeded the same indicator in 2019 (p = 0.004, 2 criterion). In 2020, the level of street injuries (p 0.0001) decreased by 83%, while there was a 61% increase in domestic injuries (p 0.0001) and a 47% increase in traffic injuries (p 0.0001).
CONCLUSION: The relationship between the outbreak of a pandemic and a decrease in the number of visits to the trauma center of Childrens Hospital No. 2 was revealed and a change in the structure of injuries depending on their cause. This change may be associated with restrictive measures, the transfer to distance learning, the ban on organized sports events, and the reduced usage of playgrounds. This information can be useful for planning the work of health authorities and distributing resources during future pandemic situations.
Ortaokul 7. ve 8. Sınıf Öğrencilerine Yönelik Bir Bilimsel Sorgulama Becerileri Testi Geliştirme Çalışması
Authors: ÖZDEN Barış , YENİCE Nilgün
Published: April 2021

Bu çalışmanın amacı, ortaokul 7. ve 8.sınıf öğrencilerinin bilimsel sorgulama becerilerini belirmeye yönelik çoktan seçmeli bir test geliştirmek olarak belirlenmiştir. Çalışma, tarama modelinde gerçekleştirilmiştir. Testin geliştirilme sürecinde Wenning (2007) tarafından ileri sürülen bilimsel sorgulama becerileri ile fen bilimleri dersi öğretim programında (2018) yer alan sorgulama becerilerinin eşleştirilmesi ile belirlenen beceriler temel alınarak, bu becerilere yönelik toplam 30 maddeden oluşan çoktan seçmeli bir test oluşturulmuştur. Testin kapsam ve yapı geçerliği için uzman görüşüne başvurulmuştur. Uzman görüşleri doğrultusunda düzeltmeleri yapılan test, uygun örnekleme yöntemiyle seçilmiş bir devlet okulunda öğrenim görmekte olan 120 7. sınıf ve 130 8. sınıf öğrencisi olmak üzere toplam 250 öğrenciye uygulanmıştır. Uygulama sonrası elde edilen veriler, MS Excel ve istatistik paket programı kullanılarak analiz edilmiştir. Yapılan analizler sonucunda, madde ayırt edicilik değeri 0,20’den düşük olan sekiz maddenin testten çıkarılmasıyla toplam 22 maddeden oluşan “Bilimsel Sorgulama Becerileri Testi (BSBT)” elde edilmiştir. BSBT’nin ortalama güçlüğünün orta düzeyde (p = 0,48), ayırt edicilik düzeyinin ise çok iyi (rjx= 0,55) olduğu tespit edilmiştir. Yapılan KR-20 güvenirlik analizi sonucunda ise testin güvenirlik katsayısı 0,82 olarak bulunmuştur. Elde edilen bulgular ışığında, Bilimsel Sorgulama Becerileri Testi’nin öğrencilerin bilimsel sorgulama becerilerini belirlemede kullanılabilecek düzeyde geçerli ve güvenilir bir ölçme aracı olduğu söylenebilir.
Dinámicas del sector lácteo como ventaja competitiva frente a los retos de mercados internacionales
Authors: Pérez Vásquez Manuel Antonio
Published: April 2021

El entorno global se caracteriza por el cambio, la incertidumbre y la competitividad, tales factores, inciden significativamente en todos los sectores de las economías regionales y nacionales. Es por esta razón que el presente artículo se plantea analizar cómo las capacidades dinámicas del sector lácteo en el departamento de Córdoba puede ser fuente de ventaja competitiva frente a los retos de los mercados internacionales. Esta investigación, tiene un enfoque descriptivo –analítico, y se apoya en fuentes secundarias consultadas en base de datos y en el análisis documental de estudios realizados a nivel nacional y local. La cadena productiva del sector lácteo de Córdoba, evidencian una calificación alta, y en el caso de la provisión de bienes y servicios e industria, éstos mostraron calificaciones más bajas. Para el caso del sector lácteo, se hace necesario, la observancia de sus ventajas comparativas, con el fin de focalizar las tácticas apropiadas para engrandecer las potencialidades ya encontradas. Se considera, que las capacidades dinámicas específicas, facilitan el proceso de internacionalización de las empresas del sector lácteo en el departamento. Se deben aprovechar las ventajas competitivas que ofrecen las capacidades dinámicas, ya que la mayoría de los procesos de la cadena láctea en Córdoba, muestran fortalezas en los aspectos referidos a la cultura organizacional, el aprendizaje organizacional y el indicador global de éxito, en ese sentido, es imperativo, un uso más eficaz y eficiente de las capacidades y recursos del sector, si se desea incursionar con éxito en el mercado a nivel internacional.
Subáreas de internacionalización de emprendimientos: una revisión bibliográfica
Authors: Acevedo Meneses Julieth Paola , Robledo Giraldo Sebastián , Sepúlveda Angarita Magda Zarela
Published: April 2021

En un mundo globalizado y en constante cambio por el avance acelerado de las tecnologías de la información y comunicación, se hace imprescindible que los emprendimientos se creen y proyecten a escenarios globales, con el objetivo de mejorar sus capacidades y rendimientos resultante de las ventajas competitivas adquiridas en el proceso. Si bien es cierto que gran parte de la literatura manifiesta las bondades de la internacionalización, este fenómeno es percibido de diferentes maneras: en algunos mercados como altamente destacable y en otros aún es incipiente. Además, aunque goza de varias décadas de estudio carece de unificación de los aspectos más dominantes. De ahí que este artículo identifica los ejes temáticos que más interés le han causado a la comunidad académica en torno a la Internacionalización del Emprendimiento y realiza los siguientes pasos: 1) análisis de los indicadores cienciométricos, en la base de datos indexada Scopus para conocer los documentos sobre internacionalización en emprendimientos; 2) utilización del paquete bibliometrix para identificar las subáreas entorno a la temática; 3) selección de las subáreas con mayor preponderancia. Los resultados demuestran tres enfoques, dos relaciones directas y uno con relación indirecta al campo empresarial, donde la primera es Orientación al Emprendimiento Internacional, la segunda Educación en la Internacionalización de los Emprendimientos y la tercera Redes Empresariales Internacionales. En términos prácticos, los empresarios, el gobierno e instituciones pueden utilizar dichas tendencias para la toma de decisiones con el ánimo de engranar los esfuerzos emanados por cada uno de estos actores en el proceso de internacionalización.
NEOLİTİK DÖNEM ÖLÜM RİTÜELLERİNDE MASKE
Authors: Özdemir Muammer , Arslantaş Yüksel
Published: April 2021

En eski devirlerden günümüze kadar insanın yaşam serüveninde, ekonomik, sosyal ve siyasi uygulamalar olduğu gibi inançla alakalı uygulamalar da görülebilmektedir. Bu uygulamalar arasında ölüm ritüelleri oldukça önemlidir. Ölen yakınları için seçilmiş kişilerin önderliğinde, belirli düzen içerisinde organize edilen ölüm ritüelleri içerisinde kullanılan ritüel nesnelerinden biri de maskelerdir. Bu çalışmada maskenin işlevselliği ve farklı kullanım sahaları işlenecektir. Neolitik dönemde çok sık kullanılan bu maskelerin Paleolitik dönemdeki öncül örnekleri, günümüz yerli kabilelerdeki maskelerin özellikleri, Şamanizm’de kullanımı, Anadolu ve Yakındoğu Neolitiğindeki önemli görülen maske örnekleri verilerek sembolik anlamda maskenin ve kullanımının önemi anlatılmaya çalışılmıştır. Ayrıca taş ve kilden yapılmış maskelerin yanı sıra kaya ve mağara resimlerinde, çömlek parçalarına işlenen maskeli insan/ şaman motifleri de değerlendirilerek ritüellerdeki kullanımı hakkında bazı öngörüler sunulmuştur.
Study of prevalence and factors affecting prevalence of attention deficit hyperactivity disorder in primary school children
Authors: Singanamala Harish , P. Naveen Kumar , P. V. Sridhar , P. S. Thammanna
Published: April 2021

Background: Attention deficit hyperactivity disorder is a commonly diagnosed neurobehavioral disorder in school age children. ADHD can even persist to adulthood and if left untreated can lead to negative impact not only on health but also on socioeconomic life of patients. Over the past 2 decades there have been 19 community-based studies offering estimates of prevalence ranging from 2% to 17%. Current study was aimed to estimate the prevalence and factors affecting ADHD along with the applicability of a DSM-4 based questionnaire for detecting ADHD.Methods:  Current investigation is a crossectional retrospective study conducted on 1150 children’s at two primary schools in the district of Gulbarga. School children between the age range of 7 to 12 years were screened over duration of one year and six months using Conner’s parent and teacher rating scale. Students above 65 score as per the scale were considered positive and were interviewed using DSM-4 criteria.Results: Fifty-eight (5.04%) children satisfied the criteria to be diagnosed as ADHD when interviewed with DSM-4 criteria. Males were observed to be more prone to have ADHD than females. The mean age of ADHD children was between 9 to 10 years. Major effective factors for ADHD were found to be maternal stress during pregnancy, pampering the child and addiction of playing videos games.Conclusions: Prevalence studies can aid in formulating recommendations for future clinical practice and also assist in clarifying whether the patterns of ADHD diagnosis and treatment in community settings are appropriate.