bluuebunny/crossref_metadata_2025 huggingface dataset:
FITOTERAPIA E SAÚDE MENTAL: ESTUDO À LUZ DA TEORIA DE OREM
Authors: Maravilha Dantas e Sousa Almeida Hélida , Cecília Alexandre dos Ramos Ana , Benvindo Ferreira Sávio
Published: April 2020

OBJETIVO: Propor reflexividade a respeito do uso de fitoterápicos em saúde mental sob à luz da teoria de Orem. MÉTODO: Consiste em um estudo descritivo-exploratório, com abordagem qualitativa e reflexiva, utilizando documentação indireta. A pesquisa foi realizada na Biblioteca Virtual em Saúde, utilizando os descritores fitoterápicos; saúde mental. Ainda foi realizado uma investigação complementar com base na teoria do autocuidado proposta por Orem. A obra foi estruturada com 26 obras, que respondiam aos critérios propostos, nos idiomas inglês, português e espanhol. RESULTADOS: A saúde mental é uma área que vem sendo cada vez mais explorada e discutida. Na atualidade, as emoções estão sendo classificadas socialmente cada vez mais como doenças, necessitando de medicalização. O uso de fitoterápicos com a finalidade psicomoduladora através da automedicação é cada vez mais realizado, exaltando a problemática da banalização desses medicamentos e da dificuldade de enfrentamento, fragilizando cada vez mais a saúde mental. A teoria do autocuidado propõe o desenvolvimento de ações apoio-educativas que instruam a população para boas práticas em saúde, contornado essa realidade. CONCLUSÃO: O trabalho de Orem guia a aplicação de uma terapêutica que auxilie os clientes na manutenção da saúde mental, com o enfrentamento das emoções, e na utilização adequada de fitoterápicos. Para tanto é necessário a implementação de atividades educativas, para a população e profissionais da saúde, especialmente enfermeiros de Estratégia de Saúde da Família. Assim, os pacientes serão mais empoderados quanto a saúde e os profissionais terão subsídio para capacitar seu público e prescrever adequadamente a fitoterapia.

Palavras chave: Autocuidado; Fitoterapia; Saúde Mental.
THE EFFECT OF GIVING BENGKOANG JUICE (PACHYRRHIZUS EROSUS) ON BLOOD CHOLESTEROL LEVELS AND COMFORT COMPLAINTS TO MENOPAUSE WOMEN IN BENGKULU CITY
Authors: Dewiani Kurnia
Published: April 2020

Most of the women have been experienced with menopausal syndrome 70-80 %. Estrogen and progesterone hormones activity decrease which the result of the cessation of menstruation followed by various physical and psychological changes. Blood cholesterol levels and complaints of discomfort are the effects of pre and menopause. Reducing the effect of menopause could be done with non-pharmacologically by utilizing natural materials that are easily available, cheap and minimal negative side effects, namely by consuming Bengkoang juice regularly for 21 days. This research aims to recognize the effect of giving Bengkoang juice by cholesterol levels and complaints of discomfort during menopause

This research was a quasi-experimental pre-posttest with control group design. 30 pre and menopausal women participated in their resident of Tanah Patah Village, Bengkulu City with a purposive sampling technique was divided into two groups by simple random sampling. Each group was consisting of 15 women for treatment (Bengkoang juice) and control (soy milk). Assessment of cholesterol levels through an examination used a stick of cholesterol (easy touch), complaints used the questionnaire complaints, and respondents' compliance used the observation sheet. Statistical testing was applied paired T-Test analysis to see differences in cholesterol levels and complaints of discomfort between the two study groups with the significance of the test results based on p <0.05.

The results present a decrease in cholesterol levels and complaints in both groups with a p-value <0.05. Furthermore, in terms of decreased levels of cholesterol (33%) and complaints (45%) were higher than the control group namely cholesterol levels (11%) and complaints ( 21%). This research concluded that the effect of Bengkoang juice on cholesterol levels and complaints of discomfort during menopause is confirmed.
Algebraic Construction of Powerful Substitution Box
Authors:   Department of Electrical, Faculty of Engineering, Benha University, Benha, Egypt, afify* Eslam wahba , sobky Wageda I. El ,   Department of Mathematics, Faculty of Engineering, Benha University, Benha, Cairo Egypt, Twakol Abeer ,   Department of Electrical, , Faculty of Engineering, Benha University, Benha, Egypt , Abeer.TwakolHYPERLINK "mailto:Abeer, Alez Reda Abo ,   Department of Systems and Computer Engineering Faculty of Engineering, Al Azhar University Cairo, Egypt
Published: April 2020

The development of wireless transmission, day by day contacts the new statures of innovation. Cryptography is one of the procedures used to give security to information streaming over the system by encryption and decryption. Substitution box (S-box) is a one of a kind nonlinear activity in Advanced Encryption Standard (AES), this paper proposed a new algebraic approach to build the multifaceted nature of S-box by changing the affine transformation. This builds the affine change period to end up 102 and expands the security of the S-box against algebraic attacks and interpolation attacks. Further examination has uncovered that the Operational multifaceted nature of the power S-box is higher than the essential S-box. the proposed powerful S-box satisfies the ideal property of Avalanche's impact and has more prominent security towards linear and differential cryptanalysis. New S-box acquires all focal points and efficiency of any current advanced usage of AES S-box
Sensor Technology for Night Sky Brightness Measurements in Malaysia
Authors:   Islamic Astronomy & Solar Astrophysics (IASA), Academy of Contemporary Islamic Studies (ACIS), Universiti Teknologi MARA, Shah Alam, Malaysia., F.* Ngadiman, N. , M. Shariff, N. N. ,   Islamic Astronomy & Solar Astrophysics (IASA), Academy of Contemporary Islamic Studies (ACIS), Universiti Teknologi MARA, Shah Alam, Malaysia., S. Hamidi, Z. ,   Institute of Science (IOS) Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia.
Published: April 2020

Artificial light at night is apparently showing to be a major contributor to the increase of sky brightness at night. The natural darkness in large regions of the world including Malaysia currently is at risk. Hence, some Night Sky Brightness (NSB) measurements in Malaysia were conducted by using several types of light sensors in order to serve quantitative data and spread awareness on this issue. This paper aims to analyze the sensor technology that have been used in night sky brightness measurement in Malaysia as well as to identify recent or significant advances and discoveries in this field of study. In this paper, the author adopted qualitative method through literature review from numerous conducted studies by other researchers in order to perceive better understanding on the use of dedicated light sensor in NSB related research. Starting from 2005 until now, it is noticeable that most of the light sensor used in the NSB studies in Malaysia was Sky Quality Meter (SQM) photometer, equipped with TSL237 sensor which has high irradiance responsivity 2.3kHz/(μW/cm2) @ λp = 524nm and 5 Milion:1 input dynamic range as well as able to sense down to 0.00002 Lux and has typical dark frequency down to 0.1 Hz. The result indicates the relative frequency of the SQM usage in NSB studies was 76% compared to PBM, APC, PMT and CDD of only 4% respectively. SQM has always been the choice of researchers in Malaysia to carry out their sky brightness measurements due to user-friendly implementation besides its reliable data obtained from TSL237 sensor which capable to convert the light directly to frequency without an amplifier or data converter. Thus, the nonlinearities and voltage offsets in the data can be circumvented. A fairly good development of sensor that have been utilized in NSB studies can be discerned patently besides NSB studies will always look forward for a better sensor to further enhance the efforts to map sky brightness for preserving the potential dark sky areas for the sake of astronomy.
Efficient Design of Control Logic Block in Dual Port Memory
Authors:   Assistant Professor, Department of ECE, Kongu Engineering College, Erode, Tamilnadu, India., Chandrasekaran* A. , Kumar K. Senthil ,   Assistant Professor, Department of ECE, Kongu Engineering College, Erode, Tamilnadu, India., Mani N. Vishnu Kumar ,   Student, department of ECE, Kongu Engineering College, Erode, Tamilnadu, India., Raaj S. Tilak ,   Student, Department of ECE, Kongu Engineering College, Erode, Tamilnadu, India., Suryaprakash K. ,   Student, Department of ECE, Kongu Engineering college, Erode, Tamilnadu, India.
Published: April 2020

A dual port memory in QCA is a study of data in different ports, but the data conflicts are very difficult to identify. Dual port memory is mainly focused on the data priority. It can be generated from the design of the control logic block. Priority bit are used, where both ports access the same memory location. Dual port memory functionality can be identified with a priority bit. When the port having the same memory location, only the port having the high priority is selected and other port are discarded. But when the read operation are requested to both the ports at same locations, having no conflicts and both the ports are requested to perform read operations. Data conflicts on the SRAM cell can be overcome by discarding the lower priority completely. Priorities are defined in terms of the area and delay. The idea behind this work is to minimize the area and delay in the dual port memory and proposed a multilayer Cross-Over design to provide an efficiency to the dual port memory and simulation result of design are shown in QCA Designer Tool-2.0.
A Novel on Classification Techniques of News with Help of Sentiment Detection
Authors:   Student, Post Graduate, Department of Computer Science & Engineering, Rajasthan Technical University, India., Joshi* Shailja , Patel Mayank ,   Associate Professor, Department of Computer Science and Engineering, Geetanjali Institute of Technical Studies, Udaipur, Rajasthan, Tiwari Manish ,   Associate Professor, Department of Computer Science and Engineering of Geetanjali Institute of Technical Studies, Udaipur.
Published: April 2020

The problem of data classification is an important topic in the field of machine learning and information retrieval. This has been widely studied and has been applied in many fields. There are multiple models which are proposed for the classification, like tree-structured classifiers, genetic algorithms, Bayesian classification, neural networks etc. These have a large range of applications in different areas like, fraud/spam detection, Customer Segmentation, Medical Diagnosis, Credit approval, weather prediction etc. This project tries to aim at a particular subclass of classification, namely sentiment analysis. Hybrid techniques should be applied in this field of study as each of the existing models have brought about some new expertise and their improvements need to be combined to give higher performance and accuracy. The sentiment analysis problem requires to take as input a block of text and correctly predict the sentiment of the writer or the speaker of the text. We have sufficient data to build a system that uses hybrid techniques like Naïve Bayes and combines the existing models to perform sentiment analysis on a dataset and study its results. The hybrid approach using Naïve Bayes to this problem gives promising results.
Packtech Industry-An Industrial & Environmental Issue
Authors:   Ph.D. Scholar, Amity Business School, Amity University Rajasthan., Sharma Bindu , Sharma Shikha ,   Professor, Amity Business School, Amity University Rajasthan, Sharma Dhirendra ,   Associate Professor, Department of Textile Technology, MLV Textile and Engineering College, Rajasthan.
Published: April 2020

Packtech Industry (PI) comprising of High Density Polyethylene (HDPE), Low Density Polyethylene (LDPE) and polypropylene (pp) have highest usage in India due to rising demand from various segment of industry. The study analyses the issues pertaining to the growth of these three recyclable materials and their application across the different sectors of Indian manufacturing industry. The study accords particular attention in wake of the recent amendment in the policy measure in India wherein certain grades of plastics were banned across seventeen states in India. In spite of the ban the demand for Packtech is still rising due to lack of close substitutes. Packtech industry generates waste which adds to landfills, if not disposed as per the prescribes requirements for waste management. The research examines the current scenario and state of growth in Packtech manufacturing Industry of Jaipur district. The study analysis industry status, raw material consumption and firm’s entry in individual markets and within Packtech industry. The study is based on Primary and secondary data were used in this study for Packtech manufacturer of bags, Layflats and woven sacks. The study found a significant difference in growth of Packtech Industry in reference of Rajasthan/ Jaipur district.
An Energy Efficient Binary Magnitude Comparator for Nanotechnology Applications
Authors:   Electronics & Communication Engineering, Lucknow, India., Tripathi* Divya , Wairya Subodh ,   Electronics & Communication Engineering, Lucknow, India.
Published: April 2020

Quantum-dot cellular automata (QCA) is inventive nanotechnology that suggest lesser size, lesser power consumption, with more rapid speeds and deliberated as a clarification to the scaling difficulties with CMOS technology. Physical bounds of CMOS for instance the effects of quantum and the limits of technologies like power dissipation obstruct the motion of microelectronics using consistent circuit scaling. In this paper, a 1-bit binary magnitude comparator circuit is proposed that takes down the count of QCA cells related to the previously reported design’s cell numbers. The proposed course of study involves just around 29 % of the total area as compared to the preceding design with the lesser speed and clocking cycle performance and energy dissipation also. QCA designerE tool is used for simulation and finding the parameters also. The projected magnitude comparator also compares the metrics result with some of the other preceeding patterns.
Application of Ground Penetrating Radar for Underground Utility Detection
Authors:   Department of Civil Engineering & Construction, Faculty of Engineering, Science & Technology, Infrastructure University Kuala Lumpur, Jalan Ikram -Uniten, 43000 Kajang, Selangor, Malaysia, Singh* Ranjit Singh Dharam , Mohamed Mohamed Abdalla Adam ,   Department of Civil Engineering & Construction, Faculty of Engineering, Science & Technology, Infrastructure University Kuala Lumpur, Jalan Ikram -Uniten, 43000 Kajang, Selangor, Malaysia.
Published: April 2020

The accurate location of underground utilities at a construction site can prevent any damage to the utilities during excavation works. The cost of fixing the damage utilities can be very costly and will reduced the expected profit of the construction works. Therefore underground utility detection using Ground Penetrating Radar (GPR) is important in providing accurate information of the utilities at a construction site. In this study TerraSIRch SIR-3000 GPR equipment have been used to detect underground utility, with a 400 MHz ability which can reach up to 3m depth. RADAN 7 software is used to interpret and analyze the GPR data. Based on the results obtained the GPR equipment is capable of detecting underground utilities such as pipe, cable, shaft, etc.. The detected utilities are then shown in the 2-D and 3-D drawing for better visualization and identification.
Technology Integrated in Interactive Entrepreneurship Activity to Enhance Students Mastery in Mathematics Concept for Active Mathematics Teaching
Authors:   School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia., Bakar* Mohamad Ariffin Abu , Ismail Norulhuda ,   School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
Published: April 2020

This study aims to examine the effectiveness of interactive entrepreneurship activity in mathematics learning towards students’ mastery in mathematics concepts. The objective is to look at the impact of implementing an active learning strategy combined with technology on mastery of mathematics concepts after engaging in a learning activity. The combination of technology in interactive learning and games kits in the form of interactive entrepreneurship activity has resulted in the innovation of learning strategies to enhance the learning interest, enjoyment and to influence the mastery of students' mathematics concepts. The effectiveness study of the strategy was conducted using an experimental study design that involved 109 students from 2 secondary schools who had participated in a 4-week mathematics learning treatment session. The experiment group was exposed to interactive entrepreneurship activity through the use of a learning kit while the control group followed conventional learning for a selected mathematics topic. Post-test were conducted to see differences in understanding and achievement of mathematics concepts for both groups of students. The results show that there is a significant difference between the mastery of mathematics concept of the experiment group students and the control group students. This shows that the integration of technology in learning activities has a positive impact on student learning. The implications of the study indicate that teachers need to constantly improve pedagogical knowledge based on current technological developments and improve teaching strategies in order to improve student competencies. The parties also need to provide the latest technology to improve the quality of education in line with global developments.
Risk Methods Applied to Electricity Distribution System in the UAE Electricity Markets
Authors:   Institute of Technology Management and Entrepreneurship (IPTK), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia, AlMarzooqi Ahmed Husain
Published: April 2020

Electricity distribution systems (EDSs) are essential pieces of infrastructure for nations worldwide. However, the key assets constituting these systems can be exposed to various forms of risk. The purpose of this research was to explore and explicate the risk management methods applied to electricity distribution system asset management in the United Arab Emirates (UAE) electricity markets. It was a secondary research that encompassed the use of the existing data to explore this issue and address the research questions. The research findings revealed the electricity distribution system asset management exists in the form of real time, mid-term, and long-term. Moreover, it was found that this system could be exposed to economic, environmental, quality, reputational, vulnerability and regulatory risks. Finally, the research findings revealed risk management methods that could be used to the system in the UAE electricity markets are categorized as simplified, standard, and model-based. This study recommended that UAE companies operating in the electricity industry should apply a holistic risk analysis in their electricity distribution system asset management.
Bibliometric Analysis on Emotional Intelligence Research
Authors:   Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia., Krishnan* Heamalatha , Awang Siti Rahmah ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia., Zakuan Norhayati ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia., Nor Khalil Md ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia.
Published: April 2020

The concept of Emotional Intelligence (EI) has gained a great amount of public popularity and business attention in the past two decades. EI is currently considered a broadly recognized practitioner instrument for hiring, training, leadership development, and team building by the business people. In this context, the analysis of the evolution and development of this concept is crucial. In order to do so, this study presents the global research trends in EI area. The article presents a bibliometric analysis of 4297 journal articles on EI. These works come from the Scopus database for the period 1966-2018. The study sorts these articles according to the following bibliographic indicators: journal with most published research, highly cited articles, countries with the highest rate of productivity, prolific authors, year of publication, language, and research area. Besides, the study graphically maps the bibliographic material by using the visualization of similarities (VOS) viewer software. In order to do so, the work uses co-authorship among authors and affiliated countries, and co-occurrence of author keywords. Results have shown that since 2005, the number of publications has increased exponentially, resulting in the steady increase in the cumulative total publications until present. The United States (US) is the most productive country. Also, among the most productive university from each of the 15 leading countries, three were amongst the world’s top 100 universities. The prominent authors were Petrides, Konstantinos V. and Extremera Pacheco, Natalio. whereas the top journals were the Personality and Individual Differences, Frontiers in Psychology and Life Science Journal. A network visualisation map showed that ‘emotional intelligence’, ‘emotions’ and ‘personality’ were the most encountered key terms. Therefore, this paper serves as a platform for the new researchers to refer concerning which journals, authors and articles they may consult while establishing the future research direction.
A Model of Factors Influencing E-learning Usability in Toastmasters International
Authors:   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia., Sudjana Ayu Ratna Lalitya , *Sfenrianto  ,   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia.
Published: April 2020

E-Learning has become the latest teaching methods and slowly began to be implemented in various institutions in all corners of the world. Judging from its profits, E-Learning can be accessed by everyone using the internet, the material is instantly available and accessible online, saving the cost of study materials and no need to pay the shipping costs. It is becoming one of the factors that reinforce the use of E-Learning in Toastmasters International institution. The research will focus on proposed a model of factors influencing E-learning usability in Toastmasters International. The model will use based on if the following four factors namely Learning habits, User Satisfaction, Loyalty User, and Ease of User Interface has Usability effect on E-Learning in Toastmasters International. The results of this study suggest that four of these factors affect the usefulness of e-Learning. Therefore, the results of these recommendations will be recommended to the Toastmasters International for the development of E-Learning do better in the future.
Cover Song Identification through Symbolic Representation and Classifier
Authors:   Department of computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India,, Vali* D. Khasim , Bhajantri Nagappa U. ,   Department of computer Science and Engineering, Government College of Engineering, Chamarajanagara, India
Published: April 2020

In this work, we propose a work erected to cover song identification riding through a Symbolic Classifier. The classification of a cover song, which is a different variety of an earlier noted song for music retrieval, has received extra consideration. However, there is an urgency to protect the interest of melody music contributors. In view of this, several efforts have been heaping in literature. Systems for Classifying a cover song typically involved in Preprocessing, Extraction of Chroma features and Finally a Symbolic classifier for Identification.
Analytical Hierarchy Process Based Decision Support System for Ensuring Sustainable Service Delivery by Piped Water Supply Schemes in Rural Areas of India
Authors:   is a Ph.D. Research Scholar at Department of Management Studies, Maulana Azad National Institute of Technology (MANIT), Bhopal., Parsai* Mr. Abhishek , Rokade Dr. Varsha ,   Assistant Professor Department of Management Studies Maulana Azad National Institute of Technology Bhopal, India
Published: April 2020

The Ministry of Jal Shakti, Government of India aspires to provide piped water supply in all households by the year 2024. At present approximate 18.33% households have been provided with piped water supply, which is much less that the target set to be achieved by the year 2017. With the present methodology for scheme implementation and various reasons associated with poor coverage nd service delivery, it is impossible to achieve the targets. The present research work proposes aDecision Support System based on the Analytical Hierarchy Process (AHP), a Multi-Criteria Decision Making tool for scheme implementation, which could help implementing government and multi-lateral agencies in achieving the desired targets. This will help Central and State Governments for safety of funds to the tune of INR23,000 Crore required to be invested in rural water supply schemes by the year 2030.
Automated Tele-Health Monitoring System for Animal Health using Image Processing
Authors:   Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India., B* Ravichandra , Reddy B* Lakshmi Narayana ,   Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India., Priya B. Keerthi ,   Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India., Reddy D.Akhila ,   Department of ECE, AU College of Engineering(A), Andhra University, Visakhapatnam, India., Rani Dr A. Daisy ,   Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India.
Published: April 2020

For effective livestock management identification and control of parasites and bacteria is a challenging factor. Parasites, worms and bacteria has a huge hazard to the health of animals, which can harm the gastrointestinal tract, and result in decreased propagative routine, diminished development rates, less yield in terms of meat, fiber and milk, even leads to death of the animals, which in turn causing health problems for human society also. A proper knowledge of animal parasites by identification of them and application of the proper antibiotic or vaccine in appropriate dosage will improve the quality of the livestock and its byproducts leading to the more profits to the farmer. The livestock farms are located at the remote places and the communication between the veterinary doctor to the farmer is poor, took long time and expensive. This can be overcome by utilization of the digital technology and automation of the process which can be handled by a layman at the field to provide electronic information for both e-prescription for intermediate treatment and the information to the expert at the remote location for proper diagnosis and validation of the electronic prescription. Digital image processing of the microscopic pictures with high resolution cameras from the samples of the animals will provide a platform for automation of the process. The detection of the parasites and its stages can be done by denoising the images, segmentation of the parasites, templating the images for isolation of parasites and bacteria by comparing them with preloaded data of different types of parasites and their different stages leads to the identification of parasites, bacteria and giving the electronic prescription within a short period then the diagnosed report can be sent to the expert for validation.In the present paper the authors have proposed a smart system for tele-monitoring and mobile health management system.
Giga-Scale Integration System-On-A-Chip Design: Challenges and Noteworthy Solutions
Authors:   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Ahammad Ishtiaq , Khan Md. Ashikur Rahman ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Rahman Md. Saifur ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Khan Tanvir Zaman ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Nath Nishu ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Published: April 2020

In all respects of the last five decades, integrated circuit technology has advanced at exponential rates in both productivity and performance. Giga-Scale Integration (GSI) System-On-A-Chip (SoC) designs have become one of the main drivers of the integrated circuit technology in recent years. The objective of this work is to understand the challenges of Giga-scale SoC integration in nanometer technologies, and identify promising conveniences for innovation. Physical designs are crucial for SoC integration and in our work we identify them with details. In future the couplings and interactions among system components will increase as we put more of the system on a silicon die. Therefore the system designers will face challenges in several areas and we describe these future challenges briefly. Developing a design driver for GSI SoC design is important. With the help of this design driver we provide the design methodology, which ensures the high performance of the design. We present two noteworthy solutions which overcome the challenges of GSI SoC design. One is reuse and integration and another is efficient bus architecture. We also provide the challenges for verification of GSI SoC and methods to overcome these challenges.
Deep Learning Iris Recognition Method Based on Capsule Network Architecture
Authors:   Department of Computer Scienceand Engineering, ,Saveetha school of engineering ,Saveetha Institute of Medical and Technical Sciences,Chennai, India., sree* C.Kavya , Divya G. ,   Assistant Professor, Department of Computer Science and Engineering, Saveetha school of engineering, Saveetha Institute of Medical andTechnical Sciences, Chennai, India.
Published: April 2020

In biometric acknowledgment, which is generally utilized in different fields. As of late, numerous profound learning strategies have been utilized in biometric acknowledgment, attributable to their points of interest. In this deep learning process we adjust the existing network structure and providing the modified routing algorithm technique which is depends on dynamic routing between two capsule layers. This layers helps to maintain and adopt a iris recognition. Various iris data sets are used for recognition. These datasets are trained and tested with the help of different pupil size of an iris. In order to show the recognition ability when the environment varies. The test of dataset achieves 96.2%. CASIA-V4 Lamp dataset gives the highest accuracy of 98.34%. It shows the apply of capsule network in iris recognition.
Ensemble Models for Classification of Coronary Artery Disease using Decision Trees
Authors:   Ph.D. Scholar, Department of Computer Science, Dr. C.V. Raman University, Bilaspur (C.G.), India., Verma* Pratibha
Published: April 2020

The foundation of data mining techniques using decision tree methods played a crucial role in the identification and classification of diseases. In the utilization of decision tree classifiers to develop the robust classifier for classification of Coronary Artery Disease data set namely Z-Alizadeh Sani and extension Z-Alizadeh Sani. We have used three decision tree techniques Random Forest (RF), Classification and Regression Tree (CART), J48 (C4.5) and made two ensemble models. These ensemble models have different combining rules like voting and stacking. The Voting Scheme model Vote (J48, RF, CART) and stacking Scheme model Stack (J48, RF, CART) have our proposed model. The findings are compared in individual and ensemble models classifier with 5-Fold Cross-Validation and 10-Fold Cross-Validation. The finding of the proposed ensemble models can be used in the detection and evaluation of Coronary Artery Disease (CAD).
Higher Order Compact Schemes for the Spatial Discretization of Linear Parabolic Partial Differential Equations
Authors:   Research Scholar, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh-515002, India, Dhananjaya E. , Vijaya R. Bhuvana ,   Professor and Head, Department of Mathematics, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh-515002, India.
Published: April 2020

A system of compact schemes used, to approximate the partial derivative of Linear Parabolic Partial Differential Equations (LPPDE), on the non-boundary nodes. Euler time integration for the temporal derivative, the Crank-Nicholson (CN)scheme for the spatial derivatives and the source term are used. The higher order spatial accuracy of the developed, central difference based compact schemes for the one and two-dimensional diffusion equations are validated, by solving numerically two test problems. The compact scheme based calculations involve a tridiagonal matrix vector multiplication and a vector vector subtraction. The interest is to demonstrate the higher order spatial accuracy and the better rate of convergence of the solution produced using the developed compact 4th order scheme, when compared with the same produced, using the conventional 2nd order scheme. The assessment is made, in terms of the discrete or norm of the true error of the converged numerical solution.
Methods for Optimal Separation of Income in Consumable and Accumulated Parts
Authors:   Professor, Department of Higher Mathematics, Moscow Institute of Physics and Technology (State University) - MIPT, Russia., Petrovich Chernyaev Alexander , Yurievna Meerson Alla ,   Associate Professor, Department of Mathematical Methods in Economics, G.V. Russian University of Economics Plekhanov (REU named after G.V. Plekhanov), Russia., Vladimirovna Sukhorukova Irina ,   Professor, Department of Higher Mathematics, Plekhanov Russian University of Economics, Russian Federation., Petrovich Fomin Gennady ,   Department of Economic Cybernetics, Russian University of Trade and Economics, Russia.
Published: April 2020

The effectiveness of a particular type of business is determined by the terms of planning and management. The study is devoted to the urgent problem of finding the optimal method for dividing a product into consumed and accumulated parts. Various macro models of economic growth are considered. An optimality criterion is proposed in the form of utility per capita consumption. Growth rates of producers and economic characteristics are considered integrable functions arbitrarily time-dependent. At the same time, per capita consumption is optimized either in terms of utility or in its pure form. Income can be used either as consumer income to meet the needs of the population, or capital-forming to create new production capacities and compensate for old production capacities that are out of order. The results can be used to assess the economic growth rate of the national economy.
van Hiele Level of Geometric Thinking among Secondary School Students
Authors:   School of Education, Universiti Teknologi Malaysia, Johor Bahru, Malaysia., Naufal* Muhammad Ammar , Abdullah Abdul Halim ,   School of Education, Universiti Teknologi Malaysia, Johor Bahru, Malaysia., Osman Sharifah ,   School of Education, Universiti Teknologi Malaysia, Johor Bahru, Malaysia, Abu Mohd Salleh ,   School of Education, Universiti Teknologi Malaysia, Johor Bahru, Malaysia., Ihsan Hisyam ,   Department of Mathematics, Universitas Negeri Makassar, Makassar, Indonesia.
Published: April 2020

Geometric thinking plays an important role in geometric achievement. It is also important in other fields, such as architecture, engineering, film, science, graphics, and arts. However, in Indonesian education curriculum, teaching and learning geometry does not emphasise the geometric thinking skills. Several studies revealed that Indonesian students could not come out from the lowered zone of the International exam, such as Trends in International Mathematics and Science Study (TIMSS), which caused by van Hiele levels of geometric thinking. Therefore, the purpose of this study was to investigate the van Hiele levels of geometric thinking among secondary school students in Makassar, Indonesia. A total of 298 respondents randomly took part in this study. The van Hiele geometric thinking test was used to assess the student's level of geometric thinking. Data were in ordinal form analysed according to the weighted van Hiele geometric thinking test scores presented in the table. The findings showed that most of the students were at the lowest level of geometric thinking. Several 123 and 93 respondents were at Level 0 (Visualisation) and Level 1 (Analysis), respectively. Meanwhile, 70 respondents were lower Level 0 and only a few respondents were in the upper Level 1. The result might be used as a fundamental source to produce a learning strategy in elevating van Hiele levels of geometric thinking.
SYSTEMATIZATION OF INDICATORS FOR ASSESSING THE LEVEL OF INNOVATIVENESS OF ENTERPRISES
Authors: Ymelyanov O. , Petrushka T.
Published: April 2020

The concept of enterprise innovativeness is complex and multifaceted. This necessitates the use of a multi-indicator approach to assessing the level of innovativeness of firms. The assessment indicators of innovativeness of enterprises was systematized. The indicators characterizing the impact of innovative activity of enterprises on economic performance of its functionality was proposed.
Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels
Authors: Alghorani Yahia , pierre samuel
Published: April 2020

We investigate the performance of a dual-hop intervehicular communications (IVC) system with relay selection strategy. We assume a generalized fading channel model, known as cascaded Rayleigh (also called n*Rayleigh), which involves the product of n independent Rayleigh random variables. This channel model provides a realistic description of IVC, in contrast to the conventional Rayleigh fading assumption, which is more suitable for cellular networks. Unlike existing works, which mainly consider double-Rayleigh fading channels (i.e, n = 2); our system model considers the general cascading order n; for which we derive an approximate analytic solution for the outage probability under the considered scenario. Also, in this study we propose a machine learning-based power allocation scheme to improve the link reliability in IVC. The analytical and simulation results show that both selective decode-and-forward (S-DF) and amplify-and-forward (S-AF) relaying schemes have the same diversity order in the high signal-to-noise ratio regime. In addition, our results indicate that machine learning algorithms can play a central role in selecting the best relay and allocation of transmission power.
Using field notes to evaluate competencies in family medicine training: a study of predictors of intention
Authors: Lacasse Miriam , Douville Frédéric , Desrosiers Émilie , Côté Luc , Turcotte Stéphane , Légaré France
Published: April 2020

Background: Documenting feedback during clinical supervision using field notes (FN) is a recommended competency-based evaluation strategy that will require changes in the culture of medical education. This study identified factors influencing the intention to adopt FN in family medicine training, using the theory of planned behaviour.Methods: This mixed-methods study involved clinical teachers (CT) and residents from two family medicine units. Main outcomes were: 1) intention (and its predictors: attitude, perceived behavioural control (PBC) and normative belief) to use FN, assessed using a 7-item Likert scale questionnaire (1: strongly disagree to 7: strongly agree) and 2) related salient beliefs, explored in focus groups three and six months after FN implementation. Results: 27 CT and 28 residents participated. Intention to use FN was 6.20±1.20 and 5.74±1.03 in CT and residents respectively. Predictors of this intention were attitude and PBC (mutually influential: p = 0.04), and normative belief (p = 0.007). Focus groups identified underlying beliefs regarding their use (perceived advantages/disadvantages and facilitators/barriers). Conclusion: Intention to adopt field notes to document competency is influenced by attitude, perceived behavioural control and normative belief. Implementation of field notes should be preceded by interventions that target the identified salient beliefs to improve this competency-based evaluation strategy.
Recruitment and retention of tutors in problem-based learning: why teachers in medical education tutor
Authors: Paslawski Teresa , Kearney Ramona , White Jonathan
Published: April 2020

Introduction: Problem-based learning (PBL) is resource-intensive, particularly as it relates to tutors for small group learning. This study explores the factors that contributed to tutor participation in PBL in a medical training program, examining tutor recruitment and retention within the larger scope of teacher satisfaction and motivation in higher education. Method: From 2007 to 2010, following the introduction of new PBL-based curriculum in undergraduate medical education, all faculty members serving as tutors were invited to attend an interview as part of this study. Semi-structured interviews approximately one hour in length were conducted with 14 individuals- 11 who had tutored in PBL within the Faculty of Medicine and Dentistry and 3 faculty members who had chosen not to participate in PBL. Thematic analysis was employed as the framework for analysis of the data. Results: Seven factors were identified as affecting recruitment and retention of tutors in the undergraduate medical education program. Discussion: We suggest that identification and strengthening of the factors that promote tutor recruitment and retention may serve to strengthen PBL initiatives and, furthermore, may increase our understanding of motivation by academics in other aspects of medical education.
Medical educators' perspectives of teaching physical examinations using ultrasonography at the undergraduate level
Authors: Ma Irene , Wishart Ian , Kaminska Malgorzata , McLaughlin Kevin , Weeks Sarah , Lautner David , Baxter Heather , Wright Bruce
Published: April 2020

Background: Ultrasonography is increasingly used for teaching physical examination in medical schools. This study seeks the opinions of educators as to which physical examinations would be most enhanced by the addition of ultrasonography. We also asked when ultrasound-aided physical examination teaching could have deleterious effects if used outside its intended scope. Methods: All of the educators from the University of Calgary Master Teacher Program were invited to complete a 22-item paper-based survey. Survey items were generated independently by two investigators, with input from an expert panel (N = 5). Results: Of the 36 educators, 27 (75%) completed the survey. Examinations identified to be potentially most useful included: measuring the size of the abdominal aorta, identifying the presence/absence of ascites, identifying the presence/absence of pleural effusions, and measuring the size of the bladder. Examinations thought to be potentially most harmful included: identifying the presence/absence of intrauterine pregnancy, measuring the size of the abdominal aorta, and identifying the presence/absence of pericardial effusion. Conclusions: Examinations that are potentially the most useful may also be potentially the most harmful. When initiating an ultrasound curriculum for physical examinations, educators should weigh the risks and benefits of examinations chosen.
Multisource feedback to assess pediatric practice: a systematic review
Authors: Al Alawi Samah , Al Ansari Ahmed , Raees Ayman , Al Khalifa Salman
Published: April 2020

Introduction: The assessment and maintenance of competence for pediatricians has recently received increased attention. The aim of the present study was to investigate further the use of multisource feedback for assessing pediatricians in practice. Methods: A systematic literature review was conducted using the electronic databases EMBASE, PsycINFO, MEDLINE, PUBMED, and CINAHL for English-language articles. Results: 762 articles were identified with the initial search and 756 articles were excluded for a total of six studies that met the inclusion criteria for this systematic review. Internal consistency reliability was reported in five studies with α > 0.95 for both subscales and full scales. Generalizability was also reported in two studies with Ep2 generally > 0.78. These adequate Ep2 coefficients were achieved with different numbers of raters. Evidence for content, criterion-related (e.g., Pearson’s r) and construct validity (e.g., principal component factor analysis) was reported in all 6 studies. Conclusion: Multisource feedback is a feasible, reliable, and valid method to assess pediatricians in practice. The results indicate that multisource feedback system can be used to assess key competencies such as communication skills, interpersonal skills, collegiality, and medical expertise. Further implementation of multisource feedback is desirable.
Políticas públicas de desenvolvimento sustentável e reciprocidade
Authors: Sabourin Eric
Published: April 2020

A partir de uma breve exposição dos princípios da teoria da reciprocidade em antropologia econômica, o artigo propõe uma critica da leitura das relações sociais e econômicas pela única lente do princípio da troca mercantil. Essa visão nega a existência estruturante de relações de reciprocidade em vários setores da atividade econômica, incluindo o mundo rural brasileiro, focalizado neste texto. A concepção, elaboração, implementação e avaliação das políticas de desenvolvimento rural estão também formatadas e limitadas por uma leitura exclusiva do desenvolvimento a partir do princípio da troca. Este pensamento único se aplica também ao exercício crítico pela economia política que, ignorando a economia de reciprocidade, considera apenas a alienação do sistema de trocas econômicas de mercado, quer dizer, a exploração capitalista. Passa assim despercebida a força das formas de alienação especificas às relações de reciprocidade (em particular a opressão paternalista), que se aplicam no marco de sistemas mistos, associando práticas de troca e de reciprocidade, como é o caso no Brasil.
Direitos de propriedade e usos econômicos da terra:
Authors: Guedes Sebastião Neto Ribeiro , Reydon Baastian Philip , Florêncio Celso Aparecido
Published: April 2020

O artigo discute o problema fundiário brasileiro relacionado aos direitos de propriedade da terra rural. Ao demarcar a importância das políticas agrárias para definir e distribuir direitos de propriedade, o artigo analisa como, no Brasil, tais direitos foram estruturados de maneira bastante peculiar, permitindo o divórcio entre registro e cadastro de terras. Uma das consequências disso foi fragilizar os direitos de propriedade da terra, tornando-os vulneráveis ao apossamento de fato. À guisa de ilustração, apresentamos dados baseados em um estudo de caso de disputa e atribuição de direitos de propriedade numa importante região agrícola e mineradora localizada ao sul do Pará.