bluuebunny/crossref_metadata_2025 huggingface dataset:
An analysis and Design of An Automated Dashboard technologies for developing web based applications - BHAIKENOTES
Authors: Et.al Vivek Singh
Published: April 2021

Dashboard are relied upon to improve dynamic by enhancing cognizance and gaining by human perceptual capacities. Subsequently, premium in dashboards has expanded as of late, which is additionally obvious from the expansion of dashboard arrangement suppliers on the lookout. Regardless of dashboards' fame, little is thought about the degree of their viability, for example what sorts of dashboards turn out best for various clients or undertakings. In this paper, we direct a complete multidisciplinary writing survey with a plan to recognize the basic issues associations may have to consider while actualizing dashboards. Dashboards are probably going to succeed and take care of the issues of introduction organization and data load when certain perception standards and highlights are available (for example high information ink proportion and drill down highlights). We suggest that dashboards accompany some degree of adaptability, for example permitting clients to switch between elective introduction designs. Additionally, some hypothesis driven direction through pop-ups and alerts can assist clients with choosing a fitting introduction design.In this dashboard user can get notes of all subjects as well as all the stuff which help him grabbing a good job and also provide internships notification to users.The machine learning helps them what they require and the best result will come for them to support them.This also give the option of chatting so they can chat among the other users for any help.This also use cloud for saving their data and for faster access.So, this dashboard use web development, cloud and machine-learning and the languages for this are mainly Html,css,Bootstrap,Javascript and Php and some sqlUsers will provide the notification of many events like exam and hackathon through this dashboard.
A performance Analysis of DM-DG and TM-DG TFETs Analytical Models for Low Power Applications
Authors: Et.al R.Jeyarohini
Published: April 2021

Device Modeling is utilized to engendering incipient device models for the demeanor of the electrical devices predicated on fundamental physics. Modeling of the device may also include the creation of  Compact models. An emerging device type of transistor is the Tunnel Field-Effect transistor that achieves compactness and speed during device modeling. This article presents an analytical comparative study of duel material DG TFETs and triple Material DG TFETs with  gate oxide structure . Here the implementation of device modeling is done by solving Poisson’s equation with Parabolic Approximation Technique(PAT).The process of formulation of drain current(Id) model is based on  integrating the BTBT generation. A Transconductance model of the device is additionally developed utilizing this drain current model of TFET. Surface potential is calculated by utilizing the channel potential model. The electrical properties  like Surface potential〖(Ψ〗_(s,i)), Drain current (Id ), and Electric field(Ei)  have been compared for both Duel material DG-TFET and Triple material DG-TFET. The comparison statement of DMDG-TFETs and TMDG-TFETs provide improved performance. The analytical model of the device results are compared with simulated results for DMDG TFET and TMDG TFET and good acquiescent is examined.
Translation and Cross-Cultural Adaptation of the Role Conflict and Role Ambiguity Inventory in the Malay Language
Authors: Et.al Hapsah Md Yusof
Published: April 2021

Objective: To date, there are very limited instruments published in Malaysia in measuring role conflict and role ambiguity among counselors-in-training in supervision during practicum and internship training. The Role Conflict and Role Ambiguity Inventory (RCRAI) was developed to address the critical issues in trainees’ perception of role difficulties in supervision. The original version of the RCRAI demonstrated satisfactory reliability and high internal consistency. Thus, this study aims to translate the RCRAI into the Malay language and cross-culturally adapt the instrument to be used in the Malaysia setting.

Methods: The Malay-language version of the RCRAI was developed according to the cross-cultural adaptation process methodology. The process included the following steps: translations; a synthesized of the translated versions; back-translations; a synthesized back-translated version; review by expert comittees, pretested instrument, and revised instrument. The RCRAI was pretested among 30 CITs between the age of 23 and 48 years old who enrolled in the practicum course, with the objective of determining the comprehensibility and clarity of the items for the target population.

Results: The translation and cross-cultural adaptation of the RCRAI followed for recommendations. The linguistic issues that emerged during the process were discussed by the subject matter experts and were slightly modified. During the pre-test, participants reported that the items on the questionnaire were clear, comprehensible and reliable to be used in the Malaysian context.

Conclusions: The translation of the RCRAI into Malay and its cross-cultural adaptation were successful. Additional studies are needed to test the validity and psychometric properties of this Malay version in Malaysia.
The Contribution of University Environmental Elements in Nurturing Students’ Entrepreneurial Thinking: A Comparative Study
Authors: Et.al Armanurah Mohamad
Published: April 2021

This study has two objectives, namely (1) to explore the level of entrepreneurial thinking among university students in malaysia and nigeria; and (2) to identify the contribution of university environmental elements in malaysia and nigeria in nurturing students entrepreneurial thinking. This study used a quantitative approach. The sample consists of 162 university students from northern state of malaysia and 92 university students from kaduna state of nigeria. The findings shown that both malaysian and nigerian university students have a moderately high level of entrepreneurial thinking, where the mean score of entrepreneurial thinking of malaysian university students was higher than the mean score of entrepreneurial thinking of nigerian students. All dimensions of entrepreneurial thinking, namely opportunity recognition, risk taking, tolerance of ambiguity and creativity and innovation for both countries were at a moderate level with the same mean ranking. Among the five predictors hypothesized to influence entrepreneurial thinking, four predictors, namely, co-curriculum, lecturers, curriculum and support resources contributed to 55.7% of variation in entrepreneurial thinking among university students in malaysia. The highest environmental elements of malaysian university that significantly contribute to student’s entrepreneurial thinking were co-curriculum, followed by lecturer curriculum and support resources. innigeria only two predictors, lecturers and co-curriculum contributed to 44.3% of variation in entrepreneurial thinking, where lecturers contributed the highest, followed by co-curriculum. Both countries showed that campus did not give a significant contribution to student’s entrepreneurial thinking. The implication of this study showed that both countries need to take entrepreneurial actions in increasing the levels of entrepreneurial thinking among university students the campus for both countries have to be more entrepreneurial to help boosted student entrepreneurial thinking.
University Environment, Entrepreneurial Interest and Entrepreneurial Networking as Predictors of Entrepreneurial Thinking: A Study of Public Higher Education Institutions in Malaysia
Authors: Et.al Armanurah Mohamad
Published: April 2021

The objective of this study isto identify the contribution of university environment, entrepreneurial interest,and entrepreneurial networking among student entrepreneurial thinking. This study used a quantitative approach where data were collected via survey using questionnaire. The sample consisted of 2001 students from 20 Public Higher Learning Institutions (PHEIs) in Malaysia. Multiple regression (stepwise) analyses was used to analyze the data. The results of the study revealed that both entrepreneurial interest and university environment contributed significantly towards entrepreneurial thinking among PHEI in Malaysia. Entrepreneurial networking did not showed significant contribution to entrepreneurial thinking. The implications of this study is thatPHEIs need to equip with relevant entrepreneurial environment and entrepreneurial activities or programs that can boost and enrich students of PHEIs with entrepreneurial thinking. Since this study showed no significance contribution of entrepreneurial networking towards entrepreneurial thinking, efforts have to be taken by PHEIs to build entrepreneurial networking with various entrepreneurial parties and agencies related to entrepreneurship that can give mutual benefit to students, universities and related parties.
KohaILS:AnEfficientOpenSourceApplicationof Integrated Library System
Authors: Et.al Suaad Yahaya Mohammed Ali
Published: April 2021

Most public and private libraries are inclined to adopt using Koha ILS around the globe. However, several Arab schools could not implement the Koha ILS application to automate their school libraries for ease of use. Deploying technology in managing libraries can solve several identified issues in public and private schools. This provides efficiency, ease and improves the performance of library services. Therefore, this paper is based on qualitative research that implements an efficient open-source application known as Koha ILS in two Arab schools, namely Baseerah International School (BIS) and International Modern Arab School (IMAS), Kuala Lumpur, Malaysia. In our analysis, we consider analyzing the proposed Koha ILS by providing backend accessibility so as library consumers can make a further enhancement to upgrade the application. The proposed Koha presents several positive impacts such as an efficient cataloging system, remote management of library consumer records such as books or room reservations and customizable searching interface for efficient usage. The application also presents multiple operating system support for a user’s flexibility. In our results, an analysis was made by comparing the two schools based on gender, position/ranks available in the school library, and IT gadgets. Toward this end, some limitations were noted and recommended as a future research direction.
Impact of Retail Service Quality and Store Service Quality on Patronage Intention towards Organized Retail Industry
Authors: Et.al P.S.Venkateswaran
Published: April 2021

Purpose: A proper service increases the customer satisfaction and positive word of mouth. The aim of this paper is to find out the impact of retail service quality and store service quality on patronage intention and word of mouth towards organized retail industry.

Design/methodology/approach: The study data were collected from [location masked for blind review] using a structured questionnaire. A sample of 419 was used. A structural model was developed for analysis to find out the linkage between study variables.

Findings/results: Findings reveal that retail service quality and store service quality are increasing the customer satisfaction.  The findings showed that retail service quality, store service quality, and customer satisfaction significantly impact patronage intention and word of mouth. Problem solving is the major issue faced by the retail stores. Hence they have to take immediate action towards it to maintain their loyal customer base

Practical implications: Problem-solving is not having significant relationships with customer satisfaction. Store managers have to create a pleasant experience and amplify the strength factors to create a bond between the store and the customers

Originality/value: This paper is helpful to the retail store managers as well as new entrepreneurs who are going to start a new venture in the retail business.
Optimizing Text Categorization for Indonesian Text Using Clustering Label Technique
Authors: Et.al Syopiansyah Jaya Putra
Published: April 2021

Text Categorization plays an important role for clustering the rapidly growing, yet unstructured, Indonesian text in digital format. Furthermore, it is deemed even more important since access to digital format text has become more necessary and widespread. There are many clustering algorithms used for text categorization. Unfortunately, clustering algorithms for text categorization cannot easily cluster the texts due to imperfect process of stemming and stopword of Indonesian language. This paper presents an intelligent system that categorizes Indonesian text documents into meaningful cluster labels. Label Induction Grouping Algorithm (LINGO) and Bisecting K- means are applied to process it through five phases, namely the pre-processing, frequent phrase extraction, cluster label induction, content discovery and final cluster formation. The experimental result showed that the system could categorize Indonesian text and reach to 93%. Furthermore, clustering quality evaluation indicates that text categorization using LINGO has high Precision and Recall with a value of 0.85 and 1, respectively, compare to Bisecting K-means which has a value of 0.78 and 0.99. Therefore, the result shows that LINGO is suitable for categorizing Indonesian text. The main contribution of this study is to optimize the clustering results by applying and maximizing text processing using Indonesian stemmer and stopword.
Reviews and Propose Model for the System Dynamics in Contemporary Tendencies of Third-Party Logistics towards Business Performance in Malaysia and Thailand
Authors: Et.al Awoyemi Adebare Omotayo
Published: April 2021

The present Third Party Logistics (3PL) service providers in Malaysia and Thailand are expending their effectiveness and efficiency in several spheres from contemporary logistics services offers towards the series of value-added services to their customers. There is a need to forecast their key performance indicators growth using a systematic approach in resource management, as their quality indicators. Hence, this paper discovers on the current propensities of 3PLs service providers in respect of issues connected with their performance, resources and quality to establish on the 3PLs indicators of resources, quality and processes. It is also sought to develop a model of systematic dynamics for internal resources and company processes optimization based on the best practices. The methodology of the research is based on literature reviews which focusing on the performance measurement, quality and resources of 3PL. Using a System Dynamics, a model of optimization and management of 3PL, the internal processes and resources were developed. This model comprises of Nine (9) segmentations, which are operations, commercial activities, administration, personnel management, procurement, quality management, Resources, Performance Measurement and Financial models. The model is indicating all areas of activities of 3PL service providers. This study proposes a new model for Third-party Logistics (3PL) performance indicators for future guidelines in related industry.
MOVIES AND SERIES: AN AID FOR SECONDARY LANGUAGE ACQUISITION
Authors: Et. al. Dhanya A P,
Published: April 2021

English, though an adopted language in colonized countries like India, has deep cultural roots there.  Not only has English enriched the languages of these nations but has also lend itself to the medium of creative expression in these countries. It has become part and parcel of intelligence as well as emotional makeup of the educated people there. It is the language required by the world for greater understanding. Today, the compulsions of learning English are no longer nearly political but scientific and technological. Watching videos is always entertaining. Apart from entertainment, video watching is thoroughly a teaching and learning process. Therefore English language acquisition can be made easy with videos as an aid. The research seeks to prove how far videos help in language acquisition and the quantitative research analyses a sample group of children belonging to the age group of 8-10 years
ON SOME BOUNDS OF THE MINIMUM EDGE DOMINATING ENERGY OF A GRAPH
Authors: Et. al. Dr. Gauri Ghule ,
Published: April 2021

Number of hidden neurons is necessary constant for tuning the neural network to achieve superior performance. These parameters are set manually through experimentation. The performance of the network is evaluated repeatedly to choose the best input parameters.Random selection of hidden neurons may cause underfitting or overfitting of the network. We propose a novel fuzzy controller for finding the optimal value of hidden neurons automatically. The hybrid classifier helps to design competent neural network architecture, eliminating manual intervention for setting the input parameters. The effectiveness of tuning the number of hidden neurons automatically on the convergence of a back-propagation neural network, is verified on speech data. The experimental outcomes demonstrate that the proposed Neuro-Fuzzy classifier can be viably utilized for speech recognition with maximum classification accuracy.
Semantic And Idiomatic Features Of Interpreting Phraseological Units From English Into Uzbek
Authors: Et. al. Abidova Rokhatoy,
Published: April 2021

The issue focused on the linguistic distinctiveness of Phraseological units, their grouping, the difficulties in the interpretation of phraseological units, techniques of their interpretation from one language into another.
Innovative Technologies In The Assessment Of Accumulation And Erosion Processes In The Channels
Authors: Et. al. Aybek Arifjanov,
Published: April 2021

The article discusses the possibilities of assessing the state of river beds and changes in them using remote sensing technologies (RS) and geographic information systems (GIS). With the help of geoinformation technologies, an assessment of deformation phenomena over the past 25 years in the channel of the Sokh river, which was chosen as the object of research, was given. Channel phenomena have been studied using data obtained from satellites. To analyze the situation, a model of the Landsat satellite was selected. The currently widely used official Glo Vis website was used to download the data. Data analyzed using ArcMap software. The results of the GIS data analysis were compared with the data of field studies. Over the past 20 years, along the channel, changes have been observed on the right bank, filling a part of the left bank with sediment particles, germination of moisture-loving plants and the process of erosion of the left bank. Over the past 5 years, about 30 meters of irrigated areas have eroded along the right bank between pickets PK3 and PK4. These changes average 5-6 meters per year. An analysis of the deformation processes occurring in the Sokh channel is carried out and conclusions are drawn.
Analysis Of Steel-Rcc Composite Deck Bridge
Authors: Et. al. A. Sharma,
Published: April 2021

: In the literature, provisions for analysis and design of steel-RCC composite deck type truss and cable-stayed bridges do not exist. A composite deck type truss bridge model is analyzed using STAAD Pro V8i software and a model with the same dimensions is tested in the laboratory. The experimental test results are used to validate the STAAD analysis results.

              Bottom chord strain and mid-span deflection of the composite bridge model as found from the STAAD analysis and the laboratory experiment closely tally with each other. This validates the standard STAAD analysis results. However, in the top chord member, due to shrinkage cracks in the deck slab concrete, the experimentally recorded strain is higher by about 100% than the STAAD analysis result.   

              Shear force in studs is considerably large near supports and joints as compared to the midsection. Therefore, the design of shear studs may be carried out based on the shear forces in the studs found from the STAAD analysis.     

              Thus it is recommended that STAAD or any other standard finite element analysis software can be used for analysis and design of the composite bridges.
A Novel Algorithm for AODV to Enhance the Efficiency and Performance of the MANET
Authors: Et. al. Deepika J,
Published: April 2021

Network security and performance are significant topics discussed in academic and Industrial research. Every application depends on the performance and efficiency of the network. Routing protocols and mechanisms play an essential role. AODV routing protocol is considered standard in many aspects, primarily due to the increasing efficiency requirements in various applications. There are different approaches in the literature trying to improve the performance. Some studies considered multiple parameters such as density and mobility of the data nodes. This research study evaluates the two critical parameters that contribute to the overall efficiency and performance of the network – throughput and route resilience. A new version of enhanced AODV is proposed in this paper that uses an iterative approach to check for each parameter and adjust the values accordingly until the required threshold level of efficiency is reached. The solution is explained in different categories pertaining to each network parameter. The proposed algorithm is simulated on a network tool, and the results show that the enhanced version of the routing protocol is promising and can be further extended to introduce new modes for higher efficiency and lower power consumption.
Structural Response Of A Slotted Bridge Pier Under Blast Loading Using Finite Element Analysis
Authors: Et. al. Kuldeep R.Patel,
Published: April 2021

Bridge pier is a crucial part for the transportation in marine structures. Scouring is a major cause for the failure of the pier. slot among the other countermeasures increases the efficiency of scour reduction and minimizes the failure due to scour.as we provide the slot; the strength of the pier reduces compared to the conventional pier. change in reinforcement pattern in slotted bridge pier changes the behavior of the pier under similar loading conditions. blast occurrence has increased in recent times and rehabilitation of a structure and improvement of strength against explosion is necessary in structure. this paper studies the behavior of slotted bridge pier under blast loading and compares theoretical and analytical aspects for the same. Design criteria for blast load according to NCHRP 12-72 are followed to carry out theoretical load response of the pier under blast loading. Analytically the behavior of pier is checked using coupled eulerian lagrangian approach using ABAQUS software. a detailed eulerian domain and slotted pier with reinforcement is assembled in ABAQUS to analyze the behavior of pier under explosion using TNT of 100kg at a scaled distance of 4ft for the period of 0.02seconds. this design gave better result in terms of mitigating effects of blast on slotted bridge pier.
Learning Self-regulated L2 WritingUnder a Cognitive Model
Authors: Et. al. Mrs Manashi Gogoi Dutta,
Published: April 2021

This innovative approach of teaching L2 writing was experimentedbelieving that using a fewer self-regulated learning strategymay lead toweakmetacognitive learning attitude resulting in low proficiency.This research wasconducted to investigate the consequences of instructionally aroused cognitive involvement load for using self-regulated and metacognitive learning strategies to improve L2 writing skills. The innovative L2 writing instructional model of this study has been named as Strategic Self-Regulated Metacognitive Activities or S2RMCA.The approach of this model is to promoteself-regulated learning managementby learners. Forarousing the use of learning strategies, a set of self-monitoring and self-evaluatingassessment rubric namedStrategy Inventories for Learning L2 Writing(SILL2W)has also been designed. For collecting and analyzingthe data a questionnaire, pre-post-tests, checklist, and interviews wereutilized. Outcomes of data analyses have shownusefulness and practicality ofthe S2RMCA model for teaching self-regulated L2 writing. Acceptable resultshave also beenshownby participants intheir L2 writing skills. In research studies conducted on cognitive load, accurate measurement of load viaself-reporting has been a persistingquestion and this study has notbeen different from the onesthat have faced the challenge.
The Influence of Training on Financial Statement Preparation on Entrepreneurship Performance
Authors: Et. al. R Susanto Hendiarto,
Published: April 2021

This study aims to examine the effect of financial report preparation training on entrepreneurial performance at UMKM Guided by the West Java Chamber of Commerce in Bandung. The research method applied is in the form of a descriptive analytical survey method, while the sample used is 32 respondents. The variables studied from each respondent were training in the preparation of financial reports and entrepreneurial performance. The type of data collected is primary data. The results of the study identified that training in preparing financial reports was no significant on entrepreneurial performance. The object of this research is that the sample of respondents used is still limited to the UMKM assisted by the West Java Chamber of Commerce in Bandung, therefore it is necessary to carry out further research based on more varied sampling with a longer duration, in order to obtain generalizable results.
Economic Efficiency of Mango Cultivator in The Southern Vietnam
Authors: Et. al. Truong Hong Vo Tuan Kiet,
Published: April 2021

The paper employed a Cobb-Douglas and translog of stochastic frontier profit function to measure the level of economic efficiency and its determinants. Structured questionnaires were used to collect data from 1,889 of sampling observations (591 for season 1, 678 for season 2, and 620 for season 3) randomly selected from designated locations in the study area. Difference of the study compared to past researches related to tropical fruits analyzed efficiency of three seasons instead of only focusing on efficiency of one season or total a year. The study established a mean economic efficiency of 26.19% in season 1, 27.15% in season 2, and 24.62% in season 3. The paper found out positive determinants of economic efficiency were farming experience, wrapping bag, market access among three seasons; education in season 1 and plant density in season 1 and 2. By contrast, the constraints to profit of mango producers were age, and payment for agro-input wholesale on ending of season in three seasons; credit access and classifying sale in first and second seasons; education in second and third seasons; plant density in season 3. Based on these findings, policy makers should focus on effective inputs models that would boost profit efficiency through conducting regular workshops and orchard demonstrations on using input materials effectively. More so, farmers should design mango gardens with appropriate trees density as well as encourage gardeners to use bags for wrapping mango fruits in farming in order to increase economic efficiency.
A Novel Loop Based Fine Grained Network-wide Time Synchronization over Constrained Delay Paths in Wireless Sensor Networks
Authors: Et. al. K L V Sai Prakash Sakuru,
Published: April 2021

Sensor Networks play a vital role in today’s ever-growing automation process. Time synchronization between the nodes impacts the performance of the network and applications. Most of the existing time synchronization algorithms either run a tree algorithm or cluster-based algorithm and then perform time synchronization. Both the algorithms suffer from communication and computation efficiency. When a node fails due to an energy shortage, these algorithms need to rerun the setup, thereby the remaining nodes consume energy. Hence, we propose a novel loop-based fine-grained network-wide time synchronization over constrained delay paths for the sensor networks. When a packet is transmitted, the neighborhood node on receiving this packet will add a time offset information and broadcast. The process continues until the loop is formed and then uses the information set and helps to synchronize its clock information. The simulations and results validate the performance of the proposed algorithm.
Modeling and simulation tools in mechanical design education: what didactical determinants?
Authors: Et. al. Youssoupha GUEYE,
Published: April 2021

This article presents the results of a study on the integration of modeling and simulation tools in the teaching of mechanical design. Indeed, optimisation of the design process often uses modelling and simulation tools in mechanical design activities. Thus, to meet the needs of the labour market, training situations in this field we use communication and information technology. In particular, digital tools are used for the development of virtual models intended for sizing and optimisation, and/or validating the behaviour and performance of a system, component, or process. However, their use in the teaching–learning activities of mechanical design give rise to many problems. These problems are often related to the educational use of these tools; the ergonomics of their interfaces and the didactic interaction. Thus, this study proposes in the framework of mechanical design teaching, through a case study, to analyze determinants of the didactic activity of the teacher in order to identify the contingencies of the didactic action. It presents didactic determinants on the process of teaching mechanical design using modeling and simulation tools.
Factors Affecting Police Stress: A Study of Maharashtra Pol,2Dr. Surya Rashmi Rawat, ice
Authors: Et. al. Shikha Mann,
Published: April 2021

Purpose:

Police officers are vulnerable to experience work stress, whatever the field or function they perform. Stress is police is complex given the multitude of factors that can result in stress for the police personnel. Literature has identified several different stressors for the police. The purpose of this study is to determine the factors that influence work stress on police officers.

Methodology:

It is a quantitative study wherein sing a sample for 402 police personnel from the Ahmednagar and Jalnadistrict of Maharashtra, the key stressors for the police personnel were examined. Respondents were given the modified Police Stress Survey (PSS). Stressors for police were identified by doing factor analysis. These factors and their explanations are then delved into to appreciate the context of the work.

Findings:

After a factor analysis was done it was found that four key categories of stressors that are relevant for the sample are Factor1 with 9 items were measuring organisational Characteristics with variance of 26.49%, Factor 2 with 8 items measuring nature of work in police department with variance of 18.39%, Factor 3 with 3 items measuring public dealing of police while on job with variance of 8.32% and Factor 4 with 3 items measuring personal characteristics of police with variance of 7.82%.

Research Limitations:

The factor analysis is done using Police Stress Survey, if any other stress scale is used, finds may differ and other factors may uncover.

Originality/ Value:

There is dearth of studies on Police. Since this study is on stress with specific reference to Police, it has added to limited literature/ research that is available on Indian Police.
The Perspectives Of The Establishment Of International Financial Centers In Uzbekistan And The Implementation Of English Law
Authors: Et. al. Otabek Narziev,
Published: April 2021

In this article analyzed main notions of international financial center and its brief history, and the views of several scientists from different countries about international financial centers and its types. Moreover, it is also researched the perspectives of the establishment of international financial centers as one type of free economic zones in Uzbekistan. In addition, in this article researched the main features of common law, its implementation as a special legal regime on regulating international financial centers in Uzbekistan. As result of analyzes, it is illustrates legal, financial and other potential of establishment common law based international financial center as a type of free economic zone in Uzbekistan.
Needs Analysis for Developing A Thinking-Based Learning Module In Mathematics Learning
Authors: Et. al. Ruslina Othman ,
Published: April 2021

It is widely recognized that the application of thinking skills in the teaching and learning of Mathematics has become an important need in the Malaysian context. The level of mathematics teachers understanding on the importance of thinking skills is, therefore, a matter of concern. This need analysis study aims to identify the extent to which thinking skills training has been accepted by Malaysian mathematics teachers and to identify the topics in Form One Mathematics which requires thinking skills infusion. This study used an online questionnaire (Google Forms) of Need Analysis Survey involving 52 respondents among mathematics teachers nationwide. Data are analysed using the descriptive statistics. The finding of the study revealed that although almost ¾ of them have attended Higher Order Thinking skills (HOTS) courses, yet half of them are still unclear about conducting HOTS teaching. Furthermore, they are not provided with a module to guide HOTS in teaching. This study also found that the topic of Algebraic Expression achieved the highest score as the topic of choice for teachers, which indicated that TS should be infused in this topic during the development of the module. It was concluded that there is a need to develop a thinking-based learning module for Algebraic Expression topic which would enhance the quality of thinking among students in order to enable them to compete globally.
Human-Robots And Google Translate: A Case Study Of Translation Accuracy In Translating French-Indonesian Culinary Texts
Authors: Et. al. Muhammad Hasyim,
Published: April 2021

Google Translate (GT) is the most widely used translator application in the world. The function of GT is not merely as tools but has become a means in personal communication, learning and business matters. This paper aims to examine the GT accuracy in translating culinary texts. This paper used a semiotic approach to analyze the equivalence of GT from the source language to the target language. The data source as the object of study is French culinary texts retrieved from the internet. It can be concluded that the accuracy of GT in culinary texts lies in words, phrases and sentences. GT does not yet have good accuracy in translating culture between source and target languages. In the semiotic perspective, the GT translation model is the translation from the source language form to the target language form (signifier) by maintaining the concept (meaning). GT does not yet have a translation feature in a cultural context. The advancement in information technology shows that GT, as a human-robot, can replace human translators.
Stock Market Forecasting Model From Multi News Data Source Using a Two-Level Learning Algorithm
Authors: Et. al. El Bousty Hicham,
Published: April 2021

Stock prediction retains the attention of a large part of the community. The emergence of new indicators mostly extracted from the web makes this domain of research challenging and in a continuous evolution. The present work tries to address the question of how to model financial news from multi-data source for the purpose of forecasting stock movement. We combined different news sources to enhance the accuracy of stock movement prediction. Data are collected from four financial news websites and proceeded individually by Support Vector Machine (SVM) algorithm then we aggregate outputs using an Artificial Neural Network (ANN) algorithm. Experiments were conducted and the results have shown that the designed two-level learning SVC&ANN algorithm has achieved better accuracy than simple news analysis models using a single information source.
Meaning of the Initial Teacher Training Path: A Perspective by Gender
Authors: Et. al. Fabiola Talavera-Mendoza,
Published: April 2021

The article aims to report the pedagogical journey of the essence of the reflection of the theory and practice of initial training students, by gender, based on the development of the training plan and educational experiences in pre-professional practices. The objective is to analyze the effectiveness, impact and transfer of the university training process in pedagogical practice. The methodology used was qualitative, based on the beliefs of the students to arrive at subjective theories. An interview and the focus group technique were used. The analysis took place around career choice, teacher orientation, satisfaction, teacher performance, change of conceptions, finding ten common categories. We end by extrapolating the need for accompaniment, the relationship between theory and practice; the preference and greater opportunities for the female gender; These findings make it possible to contribute to the resignification of pedagogical conceptions, approaches and practice models.
A Hybrid Adaptive Development Algorithm and Machine Learning Based Method for Intrusion Detection and Prevention System
Authors: Et. al. K. NandhaKumar,
Published: April 2021

Network Intrusion detection and prevention Systems (NIDPS) are employed in monitoring a network which safeguards user integrity, privacy thereby ensuring the data security and availability in a network. Such systems not only monitor the suspicious activities in a network but also used as control systems to eliminate the malicious users from the network. In this paper, a Hybrid Adaptive Development Algorithm and Machine Learning Algorithm (ADA-MLA) method is proposed to identify the malicious activities and eliminating them from the network. The deployment of honeypot-based intrusion is improved adaptive development algorithm. Machine learning algorithm has been employed in the Hybrid IDPS for learning the network data patterns which also identifies the maximum probable attacks in the network. The signatures for the DARPA 99 data set have been updated during the implementation of intrusion prevention system on a real-time basis. The hybrid method works on (i) classifying the attacks based on protocols and (ii) classifying the attacks on pre-determined threshold values. Hence, both known and unknown attacks can be easily captured in the proposed hybrid IDPS method which thereby achieves higher attack detection and prevention accuracy while compared to the conventional attack detection and prevention methodologies.
The Impact of Risk Management on Financial Performance of Banks: The Case of Jordan
Authors: Et. al. Ayman Abu-Rumman,
Published: April 2021

Scholars, professionals, and regulators regard efficient risk management as a pillar of bank management. The Basel Committee on Banks Regulation has introduced the Basel I Agreements, accompanied by the Basel II Agreements and recently the Basel III Agreement, to deal with this issue in the awareness of this circumstance and the need for the holistic approach to managing bank risk. Risk reduction is one of the determinants of banks' returns. Moreover, risk reduction, if practical, avoids or mitigates unnecessary threats and effectively controls the payouts. The latest global financial crisis taught us that risk reduction and implementation are necessary to achieve continued success objectives. The purpose of this study is to analyze Lebanese banks ' risk management policy and its effect on bank performance. This study investigates the impact of risk management practices on Lebanese banks' financial performance. Many banks had been facing risk management practices and default risks in loans because of the current financial and economic situations that Jordan is passing through. The research implemented the quantitative methodology by distributing the questionnaires to over 300 participants; however, only 123 respondents replied to them. The results were analyzed using regression analysis and proved a relationship between risk management and financial performance. The results showed a direct relationship between credit, liquidity, market risk, and financial performance. The findings showed that For every one unit increase in risk control, the risk financial performance is affected by 1%, while for every one unit increase in credit risk, the risk financial performance is affected by 1.6%, while for every one unit increase in market risk, the financial performance is affected by 1.5% and for every one-unit increase in liquidity risk the financial performance is affected by 4.7%.
Performance Analysis of Adiabatic Vedic Multipliers
Authors: Et. al. Srilakshmi Kaza,
Published: April 2021

Energy dissipation and reliability are the two important design constraints in the high performance processor design. With the advancements in the IC manufacturing and reduced feature sizes the energy dissipation increases in exponential manner at the lower technology nodes. So, there is a need to design energy-efficient and reliable circuits and systems. The reliability with temperature is also one of the major challenges in today’s smart systems as they are operated in harsh environments. Most of the works till date analyzed the reliability with respect to DC constraints. The basic operation in the high performance Digital Signal Processing (DSP) is the multiplication is used to simplify various operations like convolution, filtering and correlation. In this work, a Vedic multiplier with 4x4 size is implemented with FinFET based energy recovery Modified PFAL (MPFAL) logic at 45 nm technology node. The designed multiplier performance is analyzed and compared with our earlier work in terms of energy dissipation and delay. The results indicate a reduction of 55% in energy dissipation over ECRL based Vedic multiplier. Linear variation of power dissipation with temperature in the order of pW shows that design MPFAL Vedic muliplier is more reliable compared to CMOS multiplier.
Automated Assistance for Breast Cancer Identification on Mammograms Using Computer Vision Algorithms
Authors: Et. al. K. Nagaiah,
Published: April 2021

One of the greatest health problems in the world is breast cancer. If these breast cancer abnormalities are identified early, there is a maximum chance of recovery. We can go for this early prediction. It is one of the most effective detection and screening strategies and is widely used. The basic goal of CAD systems is to support physicians in the process of diagnosis. CAD systems, however, are very expensive. Our emphasis is on developing a CAD system that is low-cost and effective. To categorize breast cancer as either benign or malignant, a computer-aided detection approach is suggested. The standard mammogram image corpus, Digital Database used for Screening Mammography, images are used for enhancement, segmented and GLCM, intensity and histogram methods are used to extract features. The work is carried out by effective multilayer perceptron classifier (MLP) and support vector machine (SVM). Compare the performance of the classifiers. The proposed approach achieved 96 % accuracy and 8% improvement in accuracy compared to previous approaches with same dataset [4].
Investigation Of Predictable And Numerical Pulse Width Modulation Control Scheme For BLDC Motor Drive System
Authors: Et. al. K. Bhaskar,
Published: April 2021

In this paper shows check the traditional, CPWM (computerized pulse width modulation) regulator combine for control of speed by the automatic group the Brushless dc (BLDC) motor, from these strategies, pursue from CPWM speed control system, the main distinction is in the regulator part. Unique drive framework comprises of a steady Proportional Integrator controller and different has an advanced controller. This paper remembers conversation for the execution of both the strategies and their exhibitions are thought about.
Design and simulation of microfluidic smart bandage using Comsol Multiphysics
Authors: Et. al. Priti Rajput,
Published: April 2021

Microfluidics is an emerging field finding its applications in biomedical engineering for investigations of cellular micro structures. Human body is composed of 70% of water having thin and fine structure of microfluidic blood channels spread throughout the body. These microchannels supply essential nutrients to each part of the body at right time and in right amount. Microfluidics is the science of controlling and manipulating the fluid in micro channels. Manipulating the flow through the microchannels is useful for developing electronic devices, artificial human body parts, and economical diagnostics tools. Microfluidics also helps in manufacturing of pharmaceuticals and carrying out precise chemical analysis of complex systems. A number of diagnostic devices and artificial human organs like lungs, heart, kidneys, etc. have been simulated using microfluidics for developing easy, economical, non-invasive, and rapid method of drug testing. Recently, its applications have also been investigated in smart bandage design. Further, blend of microfluidics with herbal medicines is expected to enhance the healing along with negligible side effects unlike allopathic treatments. The scope of the present research is to develop a smart bandage capable of sensing the status of the wound and supplying required amount of drugs using microfluidic channels. The flow rate of drugs through microchannels is simulated using the physics of laminar flow, capillary action, and diffusion phenomena for optimizing the size and shape of the constituent components of the bandage like microfluidic channels, mixers, and porous material used for drug distribution with in the active area of the bandage. The analysis of the results shows that the mixer having inner radius as 150 microns and outer radius as 250 microns is sufficient to mix the incoming drugs via inlets of 50 microns’ diameter. Results also show that capillary action dominates the diffusion phenomenon for supplying the drugs to the wound. The investigations of the prototype show that a smart bandage having the provisions of uniform drug distribution, automatic control, on board pH, moisture, O2 measurement, and dc current based healing mechanism is possible to be incorporated with in a comfortable size for fast wound healing.
Requirement Analysis For Business Process Re-Engineering With Computational Intelligence
Authors: Et. al. Pooja Sharma,
Published: April 2021

There are enormous software applications which are developed for the usage of the software users. The software user may be categorized as public users who use online services through internet, and the private users who use the specific software inside a specific organization only. The private users can be the business organizations, Educational institutions, Health care centers and other government organizations. Each organization has a specific requirement on the base of which the software and the customer relationship management frame work has to be designed. Organization specific software are developed, tested and delivered to the service users by the software development companies and where under maintenance by the development team in the timely manner. At times, when these registered users are in need of alterations and modifications in the software which are used, then the business process reengineering is required to be done. Thus business process reengineering plays a vital role in the maintainability and the sustainability of the software product based on the user requirement. To create an effective Business process Re-engineering Framework, the user (or) the stakeholder requirements are considered as the prerequisite. Based on the requirement the software product would be re-engineering,  the stakeholders requirements has to be initially preprocessed and the stake holders has to be grouped and prioritized with the ranking of the requirement modules that has to be implemented. Finally the risk assessment has to be done to estimate the critical conditions or the changes that would be faced while re- engineering and the requirements will be clustered for effective execution.