bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing Reasons for Choosing Entrepreneurship: A Study with Reference to Women Entrepreneurs from Punjab, India
Authors: Malhotra Leena , Kumar Dr. Rakesh , Singh Dr. Raminder Pal
Published: January 2022

Background: The study provides a comprehensive review of the various reasons influencing the growth of women entrepreneurs particularly in selected districts, as the reasons are derived from the literature on women entrepreneurship. Aim: The main objective of this paper is to analyse whether women socioeconomic characteristics i.e., age, and education influence their reasons for choosing women entrepreneurship. Methods: Research Design of the present study is exploratory cum descriptive. A probability sampling method such as stratified sampling method was used at the first stage to select the districts for the study. In the second stage, probability sampling such as random sampling as well as non-probability sampling such as snow ball sampling method was used in selecting the women entrepreneurs as respondents. Setting: The study analysed survey responses of 525 respondents from selected districts of Malwa Region of Punjab, India. Furthermore, the proposed model is tested by using the data collected from Trading, Services and manufacturing enterprises. In this study the researchers have adopted, percentages, mean, standard deviation, factor analysis, kruskal Walis test and Dunn’s test as the data analysis tool. Results: The study revealed that out of four factors i.e. personality, individual social and entrepreneurial factors age plays an important role in case of social & entrepreneurial factors while education influences personal factors. Conclusion: From these results, it is understandable that the requirement for increasing women’s ambition and attitude in different age categories to embark on an entrepreneurial endeavour by nurturing entrepreneurship education.
Hybrid Intrusion Detection System based on DNA Encoding, Teiresias Algorithm and Clustering Method
Authors: Rashid Omar Fitian , Al-Hakeem Mazin S.
Published: January 2022

Until recently, researchers have utilized and applied various techniques for intrusion detection system (IDS), including DNA encoding and clustering that are widely used for this purpose. In addition to the other two major techniques for detection are anomaly and misuse detection, where anomaly detection is done based on user behavior, while misuse detection is done based on known attacks signatures. However, both techniques have some drawbacks, such as a high false alarm rate. Therefore, hybrid IDS takes advantage of combining the strength of both techniques to overcome their limitations. In this paper, a hybrid IDS is proposed based on the DNA encoding and clustering method. The proposed DNA encoding is done based on the UNSW-NB15 database by dividing the record's attributes into four groups, including State, Protocol, Service, and the rest of the features is Digits. Four DNA characters were used to represent each protocol attribute values. While two DNA characters are used to represent State, Service and Digits attributes values. Then, the clustering method is applied to classify the records into two clusters, either attack or normal. The current experiment results showed that the proposed system has achieved a good detection rate and accuracy results equal to 81.22% and 82.05% respectively. Also, the system achieved fast encoding and clustering time that equal 0.385 seconds and 0.00325 seconds respectively for each record.
The Contribution of Cultural Dimensions towards the Overall Organizational Culture and its Impact on Employee Performance in the IT Companies in Kerala
Authors: Shamsudin Shamnad , VP. Dr. Velmurugan , VR. Dr. Hareendrakumar
Published: January 2022

Every company has been led by its own culture and there is a strong association between organizational culture and organizational success. Organizational culture is a multidimensional one that may be influenced by many contributing factors. Hence organizations concerned about their culture should be vigilant about the changes happening in all these contributing dimensions to keep it unaffected throughout the journey. This study has made an attempt to identify the major contributing factors of organizational culture and to assess their relative contribution towards the overall organizational culture and their joint effect on employee performance. The data collected from 378 employees working in various IT companies in Kerala was analysed through structural equation modelling. The results revealed that all the seven dimensions of organizational culture used in this study are significant in shaping the overall culture of the organization. The study also revealed the impact of organizational culture as a composite variable on employee performance. The findings are very useful for the IT company executives in reinforcing the organizational culture by addressing the dimensions which are found more influencing in shaping the organizational culture.
System Application E-dashboard on the Performance of Worker Motivation as an Intervening Variable Special Child Guidance on Institutions
Authors: Hadiwijaya Hendra , . Febrianty , Azdy Rezania Agramanisti
Published: January 2022

Application of the E-Dashboard System on Worker Performance with Motivation as an Intervening Variable at LPKA Class 1 Palembang. Aims to determine the effect of the implementation of the E-Dashboard System on Worker Performance with Motivation as an Intervening Variable at LPKA Class 1 Palembang. The research sample was LPKA Class 1 Palembang employees as many as 90 respondents using the purposive sampling method. The analysis of this research uses SEM-PLS, which is operated through the Smart PLS program. The results of the study show that the direct influence of the e-dashboard system variable on Worker Performance is 0.567, the effect of the e-dashboard system variable on the motivation of 0.893, and the influence of the motivation variable on Worker Performance of 0.349. The magnitude of the indirect effect of the E-Dashboard System variable on work motivation has implications for the Worker Performance of Class 1 LPKA Palembang by 0.311.
Detection of DME by Classification and Segmentation Using OCT Images
Authors: Mittal Praveen , Bhatnagar Charul
Published: January 2022

Optical Coherence Tomography (OCT) is a developing medical scanning technique proposing non- protruding scanning with high resolution for biological tissues. It is extensively employed in optics to accomplish investigative scanning of the eye, especially the retinal layers. Various medical research works are conducted to evaluate the usage of Optical Coherence Tomography to detect diseases like DME. The current study provides an innovative, completely automated algorithm for disease detection such as DME through OCT scanning. We performed the classification and segmentation for the detection of DME. The algorithm used employed HOG descriptors as feature vectors for SVM based classifier. Cross-validation was performed on the SD-OCT data sets comprised of volumetric images obtained from 20 people. Out of 10 were normal, while 10 were patients of diabetic macular edema (DME). Our classifier effectively detected 100% of cases of DME while about 70% cases of healthy individuals. The development of such a notable technique is extremely important for detecting retinal diseases such as DME.
An Evaluation on Speech Recognition Technology based on Machine Learning
Authors: Kumar Dr. Tribhuwan , Villalba-Condori Klinge Orlando , Arias-Chavez Dennis , K. Rajesh , M Kalyan Chakravarthi , S. Dr. Suman Rajest
Published: January 2022

Speech is the basic way of interaction between the listener to the speaker by voice or expression. Humans can easily understand the speakers' message, but machines can't understand the speaker's word. Nowadays, most of our lives are occupied by machines; but we can't interact with machines. The human brain, like machine learning technology, is essential for speech recognition to interact with machines to humans. The language used for speech recognition must be a global language, so English has been used in this paper. The machine learning methodology is used in a lot of assignments through the feature learning capability. The data modelling capability results attained supplementary than the performance of normal learning methodology. So, in this work, the speech signal recognition is based on a machine-learning algorithm to merge the speech features and attributes. As a result of voice as a bio-metric implication, the speech signal is converted into a significant element of speech improvement. A new speech and emotion recognition technology is introduced. In this paper, discriminated speaking technology are spotlighted on the feature extraction, improvement, segmentation and progression of speech emotion recognition. Initially, the trained RNN layer-based feature extraction is done to get the speech signal's high-level features. From the generated high-level features are used for generating the new speech feature for the capsule network. Finally, the obtained speech features and attribute features are combined into the same RNN with Caps Net framework through the fully connected network. The experimental result shows the improved proposed speech recognition algorithms accuracy with another state-of-the-art method.
Localization in Wireless Sensor Network
Authors: Ahmed Ayam Tawfeek , Rashid Ahmed Noori , Shaker Khalid
Published: January 2022

The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locations for all sensors. Simulating the BOA with using number of sensors from 25 to 150 sensors and number of the anchor nodes. The distance between sensors and anchors measures by Received Signal Strength (RSS) so, this strategy is known as RSS-BOA. The obtained results shed that, the performance of the proposed algorithm is more accurate in comparing with BOA approach in the term sensor's location and the average error.
The Impact of Job Satisfaction in Achieving Strategic Agility through the Mediating Role of Knowledge Sharing
Authors: Hameed Dr. Luma Majid , Taher Dr. Majeed Hameed , Hussein Dr. Abbas Mohammed
Published: January 2022

The main objective of this research is to identify the role of job satisfaction in influencing strategic agility through knowledge sharing. The researcher used the descriptive as well as the analytical approach in the completion of this research by collecting data by means of the questionnaire as the main tool on a sample of the General Company for Food Industries' employees, whose number reached (76) individuals. Moreover, some statistical methods were employed to process the data; including the arithmetic mean, Standard deviation, simple linear correlation coefficient (Pearson), simple linear regression, and the median variable test. It was represented that there is a significant and essential impact of job satisfaction in influencing strategic agility in the presence of active knowledge sharing. The outcome of this research can provide important information regarding how concern for the level of job satisfaction affects the creation of strategic lightness that will help enhance and increase the production flexibility of the General Company for Food Industries through knowledge-sharing processes that will contribute to increasing the skills of employees. It will also clarify the prominent role that the company can contribute to activating the private sector.
The Mediating Role of Organizational Reputation in Promoting the impact of Employee Value Proposition on Organizational Commitment
Authors: Hussein Dr. Abbas Mohammed , Al-Jubori Ihsan Ali Mubarak , Mahdi Dr. Amenah Abdul Kareem
Published: January 2022

The purpose of this research is to determine the mediating role of organizational reputation in promoting the impact of employee value proposition on organizational commitment. The approach used in this research was historical, descriptive, and analytical. The research adopted the historical approach to illustrate the concepts addressed, and the descriptive approach to describing the data on the research problem according to the sample answers. Finally, the analytical approach to analyze the data was through statistical tests. The research concludes that there is a significant impact for employee value proposition on organizational commitment, a significant impact for organizational reputation on organizational commitment, and the mediating role of organizational reputation in promoting the impact of employee value proposition on organizational commitment is partial mediation. The results and recommendations of this research assure that employee value proposition and organization reputation is crucial in promoting the commitment of employees. The originality of this research has valuable implications for both theory and practice, as it offers several contributions to literature in the field of study, as well as the practical contribution.
The Information Channels of Emotion Recognition: A Review
Authors: Hatem Ahmed Samit , Al-Bakry Abbas M.
Published: January 2022

Humans are emotional beings. When we express about emotions, we frequently use several modalities, whether we want to so overtly (i.e., Speech, facial expressions,..) or implicitly (i.e., body language, text,..). Emotion recognition has lately piqued the interest of many researchers, and various techniques have been studied. A review on emotion recognition is given in this article. The survey seeks single and multiple source of data or information channels that may be utilized to identify emotions and includes a literature analysis on current studies published to each information channel, as well as the techniques employed and the findings obtained. Ultimately, some of the present emotion recognition problems and future work recommendations have been mentioned.
Real Time Big Data Sentiment Analysis and Classification of Facebook
Authors: Mutasher Watheq Ghanim , Aljuboori Abbas Fadhil
Published: January 2022

Many peoples use Facebook to connect and share their views on various issues, with the majority of user-generated content consisting of textual information. Since there is so much actual data from people who are posting messages on their situation in real time thoughts on a range of subjects in everyday life, the collection and analysis of these data, which may well be helpful for political decision or public opinion monitoring, is a worthwhile research project. Therefore, in this paper doing to analyze for public text post on Facebook stream in real time through environment Hadoop ecosystem by using apache spark with NLTK python. The post or feeds are gathered form the Facebook API in real time the data stored database used Apache spark to quick query processing the text partitions in each data nodes (machine). Also used Amazon cloud based Hadoop cluster ecosystem into processing of huge data and eliminate on-site hardware, IT support, and other operational difficulties and installation configuration Hadoop such as Hadoop distribution file system and Apache spark. By using the principle of decision dictionary, emotion analysis is used as positive, negative, or neutral and execution two algorithms in machine learning (naive bias & support vector machine) to build model predict the outcome demonstrates a high level of precision in sentiment analysis.
The Reality of Total Quality Management in the Iraqi Ministry of Education
Authors: Faraj Ekhlas Zaki
Published: January 2022

The aim of this research is to verity Total Quality Management (TQM) in the two general directorates of education in Baghdad, namely Rusafa - 1 and Al-Karkh - 1. Which are responsible for setting primary and secondary schools. The author adopted the descriptive approach. A survey was conducted to investigate the implementation (TQM) for the academic year 2019-2020 in six main categories by both directorates was sent to a sample of directors and head of divisions. These categories include leadership, operations management, human resources, training, oversight and community partnership. Eighty of the directors and head of a divisions responded to the survey and the findings indicate these conclusions; there is a lack of interest by the senior management in both directorates in applying TQM and in community partnership as both these measures received lowest degree of weighted average. The latter indicates the lack of interest by senior management to an important element. It is noted from the answers of the research sample that all the questions got low and close weighted average, and this is an important indicator of the lack of interest in total quality management by the leadership in the two directorates General of Education. Based on conclusions these findings, this research propose two main recommendations. formulated Firstly, the directorates need engage with the stake holders (students, parents, community and relevant ministries in the decision making process. Secondly, senior managers need to engage with, motivate and facilitate with the employees to create a culture that promotes and rewards creative thinkers and problem solvers.
The Repercussions of the Corona Virus on the Iraqi Economy, Opportunities and Challenges
Authors: Hussein Alaa Nory
Published: January 2022

This research aims to study the repercussions of the Corona virus pandemic on the Iraqi economy, and then explain the opportunities that can be exploited, and the most important challenges facing the Iraqi economy due to this virus. Although the financial conditions and economic conditions in Iraq have been largely positive in the past few years, two major crises have delayed progress, namely the oil crisis and the Corona pandemic. As this left significant impact on the population, especially in the areas of income, jobs and poverty, with a real possibility of a significant increase in inequality rates. For example, the report revealed that private sector employees in Iraq are more vulnerable to poverty risks than workers in the public sector, especially those with low incomes and workers in the informal sector, as well as female-headed households.
Apply Green Marketing Strategies to Improve Market Performance by Competitive Advantage as Mediating: An Analytical Study of Some Small Organizations in Iraq
Authors: Al-Murad Dr. Najla Younis Mohammed
Published: January 2022

Small organizations are an important part of each large economy, and research shows that they are more creative and effective in their management, project management, and marketing strategies. Many businesses use green marketing strategies to achieve a competitive advantage and enhanced their overall performance. This research’s goal is to evaluate the influence of Green marketing strategy actions on market performance and competitive advantage. Feedback from a questionnaire containing 41 items on a five-point Likert scale is collected using a quantitative methodology. Small organizations in Iraq are the analysis unit. Supervisors of divisions are the responders in this study. To evaluate the findings, Smart PLS 3.2.9 was utilised. The findings of a partial least squares (PLS) path analysis supported factors’ direct links with market performance. According to the findings, competitive advantage partly moderates the association between green marketing strategies and market performance to some extent. The study makes numerous recommendations that will assist both scholars and regulators in conducting additional work in this field and also improving organizations’ (MP) and (CA) in the long term.
Effect of Digital Banking Acceptance on Digital Banking Usage
Authors: V. Bharathi Veena , . Dr. Janarthananpillai
Published: January 2022

Banking is one of the most important ingredients in economic development, because of banks have direct contact with the public as well as the countries economic affairs. Thus, banking institutions are considered as a most influential pillars of Indian economy and interreference of banking sector among the public become digitalized and now the digital banking system has been covered almost entire economy in the state. In this context, study has been analyzed the effect of digital banking acceptance on digital banking usage among elder banking customers, because of previous references indicates that elder people were far away from digitalization due to lack of knowledge, awareness, negative attitude created by the lack of knowledge etc. meantime many reviews found that elder people are more eager to use the technology. Here, in this context study has been analyzed the factors which are leads to the digital banking acceptance among the elder banking customers. Study has also analyzed the mediator (Informal Joint Family Network) effect between Digital Banking Acceptance (DBA) and Digital Banking Usage (DBU).
SRTE: Security Resource Allocation for Trust Model in Evaluate the Strong Node
Authors: M. Anugraha , S.H. Dr. Krishnaveni
Published: January 2022

Mobile ad hoc network (MANET) is a framework-free as well as self-designing network in which Mobile Nodes (MN) travel freely across the contact spectrum using cellular network interfaces. Through the advancement of wireless technologies, a complex network can better handle data communication protection while improving quality of service (QoS) metrics. MANET is defenceless to security breaches due to the absence of a trusted unified authority. In MANET, the SRTE approach, also known as protection allocation of resources for trust model, is introduced for evaluating strong nodes. Main contribution of the work have four parts: First, to improve secure data transmission in MANET’s environment, the H-ACO-DSR method is introduced. Second part, the HTDMA method is developed for better resource allocation. Third part, the HTCMR is introduced and produce the efficient cluster and trust worthiness in the MANET’s environment. Fourth part, the ABT is used to identify the malicious node and trusted Node in the system. To boost the Qos metric efficiency, the trusted nodes in MANET as well as data transmission are carried out with the trusted MN. Finally, as compared to current approaches, simulation results produce improved PDR and low cost Energy, Average Delay, Routing overhead, and Throughput.
Recommendations for Improvement of Laws and Regulations for Trademark Pricing Services in Vietnam
Authors: Nam Tran Van , Quynh Nguyen Thi Nhu , Chung Pham Duc , Tuan Do Minh , Huy Dinh Tran Ngoc , Ha Tran Vu Nhat
Published: January 2022

In Vietnam, there have been many obstacles and difficulties in pricing for trademark transfer. Firstly, there have been the legal drawbacks including the incompatibility, conflicts among the legal instruments governing the same issues, Vietnamese provisions of law being not consistent with international practices and standards, the vagueness of the provisions of law in respect to pricing and bases for price in trademark transfer and so forth that have challenged the application of law. Vietnamese laws have been lack of the provisions to prevent and enforce against transfer price by means of trademark transfer. Besides, the weakness of database infrastructure has considerably affected on the estimation of price in trademark transfer in Vietnam. Furthermore, the shortage of valuation experts who specialize in trademark valuation has been also the big problem in consideration of price in trademark transfer. In order for successful commercialization of trademark, these encumbrances and challenges must be resolved as soon as possible. Research results show us that among vital challenges is quantifying brand asset that contributes to value of shareholders.
A Novel Method for Signature Verification Using Deep Learning
Authors: Rasheed Ali Fathel , Alkababji Ahmed M
Published: January 2022

In general, signatures are used to authenticate an individual's authenticity. A solid way of certifying the legitimacy of a signature is still waiting for. The approach offered in this paper will allow people to identify signatures to determine whether a signature is forged or genuine. We have tried to automate the signature verification procedure using Convolutionary Neural Networks in our system. In computer applications such as picture registration and identification of objects, image classification and recovery, feature detectors and descriptors have a key role to play. This article discusses the performance analysis of numerous characteristic and descriptor detectors like SIFT, SURF, ORB, BRIEF, BRISK, FREAK. The number of matching points in areas overlapping between images and subjective stitching accuracy were analysed in terms of the number of features. The removal of varied symmetrical characteristics of the image enhances the possibility that different scene views can reliably satisfy the requirements. One experiment result show that the maximum number of detected key points is AGAST, FAST and BRISK detection, but the lesser number of extracted key points is STAR, AKAZE and MSER. In addition, each algorithm's speed is recorded.
Factors affecting Intention to Use E-banking Services in the Context of the COVID-19 Pandemic - A Case Study in Ho Chi Minh City, Vietnam
Authors: Nga Tran Thi Thanh
Published: January 2022

The Study aims to explore and test the factors affecting customers' online transaction behavior with e-banking services in the Covid-19 pandemic, with TAM (Technology Acceptance Model). The author used data survey from 225 people who are customers of commercial banks in Ho Chi Minh City (HCMC). The research methods used SPSS software for EFA and CFA analysis. The results of multivariable regression analysis determined 7 factors affecting intention to use e-banking services: perceived ease of use, expected effectiveness, and risk. transaction risk, bank branding, social influence, behavioral control and perceived preference. In which, the risk component in the transaction has the most important influence on the intention to use e-banking services, followed by the component of expected effectiveness, followed by the component of bank brand, followed by component of bank brand followed by the Social Influence component, then perceived ease of use, and finally behavioral control and perceived preference. The research results also serve as a basis for a survey for Vietnamese banks to promote using e-banking services by customers in developing electronic products in Vietnam.
Efficiency Improvement in IoT Use for Elderly NCD Patients in Malaysia: Extending the Practical Implementation of Theory of Planned Behavior
Authors: Malarvizhi Dr. Chinnasamy Agamudainambhi , Jayashree Dr. Sreenivasan , Mamun Dr. Abdullah Al , V. Dr. Umasri , Anbarasan Dr. Amaleswaran
Published: January 2022

Background: The rapidly aging population in Malaysia is no more a surprise especially due to the sudden increasing rate of infertility and greater life expectancy creating an impact on the overall mortality percentage. Nearly half or 40% of healthcare expenses are expected to yield from the growing number of elderly people. Purpose: Theory of Planned Behavior (TPB) which analyses the behavioral intention, is incorporated into this study on the use of IoT among elderly NCD-patients. According to TPB particular “cognitive-emotional” and “attitudinal” factors determine the behavioral intention of consumer or user. It is assumed that intention is required for a particular behavior in any context. This study also intend to explain the intention of elderly NCD-patients in Malaysia, while promoting a healthy lifestyle. Design/methodology/approach: The conceptual framework developed in this study will evaluate the current attitude of elderly patients in incorporating IoT-technology, societal and environmental factors influencing them to adopt IoT-technology, along with the constraints – leading the intension/behavior among the population. This, in turn, is expected to render developing efficient communication to all the stakeholders in increasing awareness among the targeted elderly NCD patients. Findings: The outcomes of this study are expected to produce meaningful insights for regulators, healthcare institutions and IT technology enterprises to collaborate in designing meaningful campaigns disseminating true benefits of IoT devices, by aiming to change the attitudes of elderly patients, improve their confidence Research limitations: The study was undertaken in a single country (Malaysia), which is a constraint on generalizability. This study only applied a quantitative method Originality/value: Analyzing the relational impacts of the constructs in the framework for this study will ultimately enhance the intention of IoT technology’s use among elderly patients in Malaysia.
Performance of Bureaucracy in Implementing the Issuance of Trade Business License
Authors: . Irtanto , Sasongko Widodo Djati
Published: January 2022

This study discusses the bureaucratic performance of the Investment and One-stop Integrated Services (DPMPTSP) in Banyuwangi Regency in implementing the issuance of Trade Business License (SIUP). The result indicated that the performance as seen from the relevance aspect showed good performance, the bureaucracy consistently implemented organizational strategic planning based on the mission, objectives, and goals of the Regional Medium-term Development Plan (RPJMD) of Banyuwangi Regency, which is further elaborated in the annual work plan. The performance as seen from the efficiency aspect showed the lack of attention to inputs (facilities and infrastructure, human resources, budget, not meeting output targets/SIUP in a certain period of time). In order to obtain SIUP (output), service users had to go through the lowest structure of the government, lengthy processes, and even unpredictable costs. Another effectiveness aspect is that SIUP provided most of the benefits for meeting the socio-economic needs of the service users and contributed to local taxes for the local government. The performance of the SIUP service impacted on gender equality and ethnic groups, impact on increased value of business investment and awareness, especially medium and large enterprises which owned SIUP, and was of use as a business legality. The result reconstructed the theory by Polliit and Bouchart which need to include the novelty of equity which bridged the socio-economic problems and the impacts.
2D Geometric Object Shapes Detection and Classification
Authors: Hasan Mokhtar M. , Ibraheem Noor A. , Abdulhadi Noor M.
Published: January 2022

In computer vision, object detection is a basic process for advanced procedure forms such as object detecting, analyzing, tracking, etc., for further processes, features extraction play a vital part to identify the objects accurately. Most of the existing frameworks may not be able to distinguish the objects appropriately when different objects have a place to a single frame. In this work, an automatic detection and recognition system of two-dimensional geometric shapes have been proposed. Firstly applied Genetic Algorithm (GA) to fill the shape after performing proper segmentation pre-processing method. The proposed framework is able of identifying numerous objects in the input image, determining the sort of the identified object, and labeled the recognized objects. Statistical method has been applied for each shape to extract the objects corners' points by calculating the largest boundary to form the features vector. Ultimately, the identified objects are classified as geometrical shapes such as square, rectangular, triangular, or circular. The proposed method achieved high accuracy around 98.3%, and an average computational time 0.521 sec. as an effective classification technique.
Environmental Awareness in University Students According to Gender and Age
Authors: Garay Jessica Paola Palacios , Oliver Jenny Marianella Zavaleta , Barbuda Julio Javier Montano , García Luis Alberto Torres , Díaz Mitchell Alberto Alarcón , Rivera-Zamudio July
Published: January 2022

Environmental awareness is the constant articulation that exists between man and his environment. For this, the human being relies on his experiences, wisdom and praxis. The objective was to describe the levels of environmental awareness of students of the health career. The approach was quantitative, of a substantive type and a non-experimental, transactional design. For this study, the sample consisted of 500 students drawn through probability sampling. The technique used was the survey and the instruments were the questionnaire on a Likert scale, Cronbach's alpha. Regarding the conclusion, it was found that 45.8% of all students presented unacceptable levels of environmental awareness. Of 20 years, 42% of the female gender presented an unacceptable level of environmental awareness, while men, 28.2% of unacceptable level of environmental awareness. From 21 to 23 years old, 11.4% presented an unacceptable level. Regarding students over 24 years of age, 6.2% presented an unacceptable level.
Transformational Leadership in Interpersonal Relationships and Collaborative Work of the Managers of a Local Management Unit, Peru
Authors: Li Aura Elisa Quiñones , Menacho-Vargas Isabel , Sandoval Sara Pamela Sánchez , Cajo Luz Emerita Cervera , Miguel Rosa Diana Pedroza San
Published: January 2022

The objective of the study wasdetermine the impact that transformational leadership has on interpersonal relationships and collaborative work of UGEL 11 managers. The study was of a basic type; the method, hypothetico-deductive and the design, non-experimental; The population was 380 individuals, including teachers, managers, service and administrative personnel, who work within the UGEL 11 in Cajatambo. The sample consisted of 75 individuals. The technique used was the survey in which the research was collected using a non-probability sampling; As an instrument, a questionnaire validated by judgment was used, in addition the construct validation was given with a binomial test for the three variables; these tests validated the instruments. To determine reliability, a pilot test was conducted. According to the results obtained.
Implementation of Green Hospital Service Nutrition through Knowledge and Training on Improving Work Ability
Authors: Arief Syafri , . Gunawan , Sihwinarti Dwi , Muna Nilna , Wahyuni Dewi Urip , Setini Made
Published: January 2022

Creating a green hospital environment is a variety of maintaining environmental cleanliness, water, electricity, and green nutrition. This study determines the implementation of green hospitals by creating the quality of nutrition provided through training and training to create sustainable employability at the Arifin Nu'mang Hospital, Indonesia. This research method is quantitative, and the study uses 2 types of population, so that the authors conducted a cluster, the population this study were 27 Nutrition Installation officers using total sampling and 250 hospitalized patients in the last 3 months using simple random sampling and the final sample used was 180 with the solving formula. The results showed that the quality of nutrition services in hospitals was more supported by the increase in the work capacity of nutrition installation officers. The workability creates a high level of work awareness and responsibility, and the workability variable is a good intervening variable on the quality of nutritional services. Training needs to be improved in increasing knowledge for the sustainability of the green hospital at Arifin Nu'mang Hospital. The results of this study contributed to the lack of a green hospital concept regarding the role of knowledge and training in improving the quality of nutritional services. Different from other research is the ability to distinguish between knowledge and training in measuring the quality of nutrition services; knowledge is a form of understanding that requires stimulation, while training is a form of action that is carried out deliberately in achieving goals.
Developing a UID in Software Engineering Depending on Multimedia
Authors: Tawfeeq Tawfeeq Mokdad , Al-jawaherry Marwa Adeeb , Abdulmajeed Ashraf Abdulmunim
Published: January 2022

The Some phenomena have an impact on the health of people who use computers for lengthy periods. The physicians call these symptoms “distress symptoms related to the use of computers”. In our unconsciousness, colors and music greatly affect the mood of a person. This effect differs according to the persons and their education. Colors and music have symbolic values related to each culture and country. Therefore, there is a difficulty to identify certain colors and music that can be considered as a standard to treat the users or prevent them from the resulted negative effects of using computers and mobile devices. The research aims at suggesting features called (interface style behavior) (ISB) to participate in treating and preventing the users of computer screens and mobile devices from “distress symptoms related to the use of computer” through integrating these features derived from color therapy science and the science of music therapy with the art of User Interface Design and then apply the results to the applications and web sites.
Determinant of Citizens’ Acceptance of E-government: Examining Semi-online Tax Filing System in Indonesia
Authors: Kholid Muamar Nur , Sari Depi Nurmala
Published: January 2022

This article examined the intention of Indonesian citizens to adopt and use a semi-online tax filing system service well-known as E-Form. The theoretical foundation used in this article is The unified theory of acceptance and use of technology (UTAUT) with government trust, technology anxiety, and trust of the internet. The data were obtained from questionnaires filled out by Indonesian taxpayers who are acquainted with the E-Form. The Partial Least Square method based on Structural Equation Model was applied to analyze the data supported by SmartPLS 3.0. The results of data analysis demonstrated that, except for Effort Expectancy, the main variables of UTAUT, technology anxiety, and trust of the internet have a significant effect on the Intention to use the E-Form. Surprisingly, trust of government does not affect the decision to use the E-Form. However, performance expectancy is significantly influenced by trust of government and effort expectancy. Several recommendations for system developers and the government as policymakers are offered to assist the success of citizens’ acceptance of semi-online tax filling system services in Indonesia.
In Mobile Adhoc Networks, a Trustworithness of Data Transmission Using HTCMR
Authors: M. Anugraha , S.H. Dr. Krishnaveni
Published: January 2022

Mobile Ad hoc Network is a self-configured network, the main responsibility faced in the network is security. Malicious nodes are mostly to blame for the insecurity of MANET. The malicious attacker nodes will disrupt the overall functioning of the network, and many security solution approaches are utilized for safe and reliable communication in MANET to stop such harmful activity. This routing, known as Hybrid Trust Cluster based Multiple Routing (H-TCMR), helps to minimize the amount of messages carried inside the network, lowering the network's total energy usage. It utilizes Hybrid Time Division Multiple Access (HTDMA) for time slots and the Unified Slot Assignment Protocol (USAP) for cluster allocation. Using Hybrid Rider Optimization Algorithm (HROA) approaches, a group of riders will drive together to a specified location in order to obtain the cluster head slot. The suggested approach encrypts the data before sending it to its final destination. It also helps to extend the life of mobile networks. Some of the factors considered in simulation studies include connection, energy, average delay, throughput, as well as overall cluster quality. The simulation result demonstrates a performance study of HTCMR's dependable security, as well as increased system efficiency and improved data transfer security.
Online Food Shopping Motives during COVID-19 Pandemic for Improving Behavioural Intention: Conceptual Model and Propositions
Authors: Roni Mastura , Mohamad Siti Hajar , Borhanordin Amirah Hazimah , Hussin Harniyati , Rashid Intan Maizura Abd , Shafiai Shahiru
Published: January 2022

The Covid-19 pandemic has significantly affected online shopping patterns and accelerated the adoption of online shopping and home deliveries. Online food delivery systems and applications have transformed the way consumers order and consume food, especially during the Movement Control Order by the government during the Covid-19 pandemic. Restaurants and mobility agents such as FoodPanda and GrabFood were heavily reliant on mobile technology during the pandemic to strengthen online essentials from offline services which increased online consumers as well. This study designed the drivers on online food shopping motives towards consumer behaviour intentions among online food delivery customers in Malaysia. Grounded from various streams of literature and scholarly views, this research develops a conceptual model describing the drivers of online food shopping through the propositions of the model utilising Theory of Planned Behaviour and Technology Acceptance Model. Hence, the study also provides a literature overview of the current issue on the pandemic situation on e-commerce and online ordering services in Malaysia as well as discussion and direction for further research.
The Effect of Transformational Leaders, Academic Culture on the Lecturer of University Performances in the Corona Virus Era
Authors: Kartika Ika , . Saepudin , Wahyudin Uyu , . Junaedi , Setiawati Yanti Hasbian , Karim Abdul
Published: January 2022

The research plans to find out and investigate the impact of transformational leader and academic culture on the performance of Indonesian university lecturers amid the Corona Virus (COVID-19) time. This research utilizes a quantitative exploration strategy with a survey procedure to give response to the hypotheses of test planned. The respondents consist of 150 lecturers employing cluster random sampling technique. The product-moment correlation validated the instruments for lecturers’ performance, academic lecture, and transformational leader, the Alpha Cronbach estimated the reliability, and testing the hypothesis used path analysis. The path analysis results uncovered that (1) there was an impact of transformational leader on the performance of lecturers, (2) there was a direct impact of academic culture on the performance of lecturers, and (3) there was a direct impact of transformational leader on the academic culture of lecturers. This research implies for efforts to enhance the performance of lecturers, the effectiveness of transformational leaders, and the effectiveness of academic culture.
Restaurantscapes and its Impact on Customer Patronage: An Empirical Perspectives
Authors: Mousa Dr. Heyam Abdulrahman Al , Al-Juboori Zainab Mohammed Alwan , Naeem Haseebullah Abdul
Published: January 2022

There is a considerable signal from empirical studies that many factors influence customer's patronage. The primary purpose of this research is to review the impact of restaurantscapes (space/function, hygiene, and social interaction) on customer patronage and customer emotional response to restaurantscapes in the kingdom of Saudi Arabia. Customer familiarity is a moderation variable the has been explored in this study. The framework of the present study was developed based on a systematic review of past literature, which has not been tested yet. Three hundred and nine (319) usable responses were obtained. Data were analyzed using Statistical Package for Social Science (SPSS) and Partial Least Square-Structural Equation Modeling (PLS-SEM). Based on the importance of the study's variables, the present paper stated a positive result in the relationship between restaurantscapes on customer emotional response and customer patronage and a positive relationship between customer emotional response and customer patronage. However, the study does not support the moderation role of customer familiarity. Thus, restaurantscapes will improve the Saudi restaurant's performance by increasing customer patronage. The paper emphasizes the critical value of restaurantscapes for restaurants owner/managers. Stimulus Organism and Response (S-O-R) theory was used to underlie the conceptual framework. In addition, some implications of this conceptual model for theory and practice are discussed.
Mitigating the Prevalence of Female Genital Mutilation and Cutting (FGM/C) in Ekiti State as a Panacea for Eradicating the Practice for Sustainable National Development in Nigeria
Authors: Asebiomo Ayodele Mandela
Published: January 2022

This study sources for the prevalence of FGM/C practices in Ekiti State Nigeria in an effort to know the “why”, and “how” the practice can be reduce if not eliminated in our society. The population of the study comprised all child bearing adult women in all the sixteen Local Government Area of the State. Five Local Government Area Councils were randomly selected and 240 adult women were purposively selected from the five Local Government Area Councils at equal representation. Questionnaire named Female Genital Mutilation and Cutting Prevalence Questionnaire (FGMCPQ) developed by the researcher were used to collect data from the respondents. Frequency counts, percentage mean were used to answer research questions and Chi-square used to analyze the hypotheses formulated. The findings showed significantly the prevalence of FGM/C in all the Local Government Area Council covered. There are no significant differences on the prevalence across social and educational background. Cultural beliefs were significantly responsible for such practices with little or no religious undertone. But the practices showed significance practice in the rural area than the urban settlement. Many parents believes the practice reduce sexual urge among sexually active women and as a result recommends its practice. The study also showed that FGM/C can induce sexually transmitted infections, pelvic inflammatory diseases as well as recurring urinary tract infection. The study showed that FGM/C is often performed by a nonmedical practitioner with the aim of fulfilling cultural rites and most times for economic benefits. It was therefore recommends that thorough sensitization exercise should be carried out in both urban and rural area against FGM/C practices as regards to its health impact on girl child and in order to protect the female right in the society as well as enhancing national economic growth and development. Relevant laws should be enacted to punish erring individual families that engage in FGM/C practices in the society. More importantly, the circumcisers should ne provided by alternative source of income for their living.
Perception of Corruption and the Relationship With Other Variables
Authors: Bozdo Rejla
Published: January 2022

People perceive corruption at a rate that might not always be concurrent with the level of real corruption. Despite the fact, research on perception can help governments and other institutions better understand how to deal with the problem. This paper addresses the perception of corruption and its relationship with other variables of daily life, such as perception of the economy, education, health, security and politics in general, thus to investigate at what level the perception of corruption relates with or impacts the expectations and trust in other areas.

The 369 respondents in the dataset, used for the analysis, live in Albania and have a mean age of 34.57 years old. Albania’s Corruption Index of Transparency International increased during 2020 by five points compared to 2013. 2020, this is at the level of 36 points, ranked 104th . While in 2013, it was 31 points.