Browsing by Author "Lourens, Melanie Elizabeth"

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Analysis of social crime patterns in regions based on demographic (geographical) distribution
(Review of International Geographical Education Online, 2021-11-15) Nguyen, Nam Trung; Lourens, Melanie Elizabeth; Manjre, Ramkishan; Prakash, Vishal; Patil, Swati; Kamaluddin, Mohammad Rahim
Aim: In this research paper different factors that are able to make impact on criminal activities are being critically evaluated. This paper is aiming to prove different geographic regions have different issues that enhances criminal activities. Therefore, different states of India have different rate of criminal activities. Methods: The methods of the topic have been as per the statistical analysis where the entire information has been related with the southernmost crime rate higher and a very low crime rate in the easternmost states. Main findings: The highest crime rate has been recorded at Tamil Nadu with lowest in Nagaland and Mizoram. The rate of crime increases with religious nature and nature of the crime as per metropolitan culture. The rate has been higher due to wealth, and other factors where the value of the regression has been higher between the northern and southern region respectively. The nature of the murder crime rate has been found to be higher in South Africa compared to online dating scam in Malaysia. Along with that, as a prime part of South-East Asian countries, the crime rates of Philippines, Thailand, Vietnam and Hong Kong have also discussed with the help of graphical illustration. Conclusion: The selected states are Maharashtra, Gujarat, Rajasthan, Punjab, Haryana, Assam, Telangana, Karnataka, Nagaland etc. it has also been identified in different states criminal activities during 2020 get reduced compared with criminal activities in 2019. Punjab is ranking on top in the India due to Drug cases as 35.8% of drug cases in the country belong to Punjab as well. Moreover, it has also been summarised that Vietnam has a higher crime index rather than other south-east Asian countries.
Artificial intelligence–based neural network for the diagnosis of diabetes and COVID
(Universidad Tecnica de Manabi, 2022-07-01) Roland, Gilbert; Kumar, Navin; Gururaj, Bharathi; Richa, Richa; Bobade, Sunil Devidas; Lourens, Melanie Elizabeth
In many nations, the prevalence of diabetes is rising, and its impact on national health cannot be overlooked. Smart medicine is a medical concept in which technology is used to aid in disease detection and treatment. The objective of this study is to take a gander at the information and look at changed diabetic mellitus forecasting algorithms. According to rising dismalness as of late, the quantity of diabetic patients worldwide will arrive at 642 million out of 2040, suggesting that one out of each 10persons would be affected. This worrisome figure, without a question, demands immediate attention. AI has been applied to an assortment of aspects of clinical wellbeing as a result of its rapid progress. To predict diabetes mellitus in this review, we utilized a choice tree, an arbitrary timberland, and a neural organization.
Circumstantial discussion on security and privacy protection using cloud computing technology
(IEEE, 2022-04-28) Lourens, Melanie Elizabeth; Naureen, Ayesha; Guha, Shouvik Kumar; Ahamad, Shahanawaj; Dharamvir; Tripathi, Vikas
Cloud computing is becoming a demanding technology due to its flexibility, sensibility and remote accessibility. Apart from these applications of cloud computing, privacy and security are two terms that pose a circumstantial discussion. Various authors have argued on this topic that cloud computing is more secure than other data sharing and storing methods. The conventional data storing system is a computer system or smartphone storage. The argument debate also states that cloud computing is vulnerable to enormous types of attacks which make it a more concerning technology. This current study has also tried to draw the circumstantial and controversial debate on the security and privacy system of cloud computing. Primary research has been conducted with 65 cloud computing experts to understand whether a cloud computing security technique is highly secure or not. An online survey has been conducted with them where they provided their opinions based on the security and privacy system of cloud computing. Findings showed that no particular technology is available which can provide maximum security. Although the respondents agreed that blockchain is a more secure cloud computing technology; however, the blockchain also has certain threats which need to be addressed. The study has found essential encryption systems that can be integrated to strengthen security; however, continuous improvement is required.
Cooperative teamwork as a core aspect of organisational behavior influencing competitive advantage of organisation in market
(2022-03-31) Singh, Amarendra; Lourens, Melanie Elizabeth; Bhargava, Amitabh; Khai, Nethravathi; Khurana, Nitya; Anand, Neha; Sidhu, Kawerinder Singh; Jayashree, S.; Alanya-Beltran, Joel; Panduro-Ramirez, Jeidy
This invention analyzes cooperative teamwork as a core aspect of organisational behavior influencing competitive advantage of organisation in market. A cooperative team has a common commitment and specific purpose that it delivers on, has shared leadership roles, and has both individual and mutual accountabilities. Cooperative teams discuss, make decisions, and perform real work together, and they measure their performance by assessing their collective work products.
The critical role played by big data management in effectively addressing the security and overall privacy concerns through correlation analysis
(IEEE, 2022-04-28) Ahamad, Shahanawaj; Roshan, Amit; Lourens, Melanie Elizabeth; Shekher, Vineet; Joshi, Kapil; Alanya-Beltran, Joel
Due to the widespread application of big data in a wide range of fields, there has been a significant rise in a diverse range of data assets, and numerous data analysis technologies, such as standardized data mining or quantitative analytical techniques, are speeding up the constant enlargement of the big data industry. The fact that information from several different resources has a life cycle from acquisition to disposal is a key property of big data, as is the fact that new information may be obtained via analysis, combining, and exploitation of existing data. Yet, information security & dependability challenges arise at every stage of the life cycle, rendering the protection of individually identifying data a vital goal throughout the whole process. It is possible to evaluate user behavior using different big data analytics techniques, and the collection of this information results in the violation of personal privacy. This study analyses dangers and security challenges that arise during the administration of large amounts of data by verifying the existing standards produced by international standardization bodies and doing an analysis of relevant research.
Decision rules and decision analysis in maintaining implementation of communication technology in organisations
(Kalahari Journals, 2022-01-01) Lourens, Melanie Elizabeth
This research aims to create a development perspective for decision theory application for organisational decision making regarding intelligent technology enabling practices. Organisations and individual flexibility are needed to dissolve behaviour issues of employees causing hindrance in strategic decision-making. In this regard, a comparative analysis of nine research articles has been performed within the very specific scope of systematic review based on South Africa and other European countries. South African public and private sector organisations promote digital literacy and Business Intelligence (BI) technology adoption. Hence, education around self-management and sentiment classification are analysed through primary studies on algorithm-based cross-domain classification and classification of modifiers. Similarly, secondary qualitative analysis on the research articles has supported this entire paper through narrative analysis. Finally, thematic analysis justified that ImbTreeEntropy and Z-VIKOR are reliable tools to analyse decisions regarding the execution of a communication technology tool) in an organisation.
Deep learning-based recognition of wearing masks in public during the pandemic
(NeuroQuantology, 2022-07-04) Malathi, L.; Ghoti, Ravindra Mersing; More, Swapnaja R.; Lourens, Melanie Elizabeth; Bhanti, Prateek; Patwa, Sanjeev
Human face detection is a computer vision application. Face image processing has been the subject of various studies. Several researchers have previously investigated facial recognition. We used IOT and AI algorithms with the basic notion of human face identification in this research to identify the covid-19 patient travelling in public locations during isolation period. -19 criteria for Human face discovery is the novel notion in this covid. An Internet of Things (IoT) method is used to store daily averages of 19 positive cases across districts. The information that can be stored, such as a person's name, phone number, and address (with different poses). Personal information is securely saved in the cloud database and can be accessed at any time by logging into your account. IoT and Raspberry Pi are used to store and retrieve data. Face detection technology in CCTV cameras is used to keep tabs on the current scenario and identify any people who might be in the video. We installed cameras in strategic locations and linked them to the cloud server so that the faces of those with and those without covid 19 could be forwarded. hange detection methodologies in remotely sensed images suffer from the problem of data inadequacy; and to handle this problem, semi-supervised approaches can be opted. Semi-supervised Modified Self-organizing Feature Map is used to classify covid positive and normal cases in this recognition method. Every time a person's face is taken by the camera and compared to a database, an AI algorithm is used to identify and categorise the person (testing centre data). Covid positive patients will be flagged by an AI system, and their personal data will be sent to a government health care unit, which may take legal action against them, in this classification process. OpenCV and the Python platform were used to carry out this experiment. Public exposure to covid 19 will be reduced, and mortality rates owing to covid illness will be reduced as a result of this proposed model.
The effect of layoffs on the performance of survivors at healthcare organizations
(Aliva Global Research and Development, 2021-12-02) Wisetsri, Worakamol; Lourens, Melanie Elizabeth; Cavaliere, Luigi Pio Leonardo; Chakravarthi, M. Kalyan; Nijhawan, Gitu
For years, workers of an organization have strivedto strengthen it and expand it with fresh concepts and strategies to accomplish new objectives.The layoff is,by definition,a spontaneous release from an institution, i.e. a compulsory resignation for certain purposes of employee categories, of permanent or temporary personnel (economic reasons, downsizing personal management).Outsourcing is a way of reducing costs and changing fixed costs to varying expenses for companies. It transfers work or researches to outside households,which lead to job losses.Finishing is a major business challenge, forced disconnected jobs and survivors.This sudden dismantling was triggered by theeconomic depression,which increased with corruption by governments. The COVID-19spread around the world is further overcome day by day.When the layoff is mass, companies may notify the workers of the reasons for the reduction.Some hospitals issued departed personnel a warning for clarifying things and preparing the workers even though they could do serious harm. This form of warning illustrates a pandemic COVID-19 by delivering unemployment until layoffs explainthe financial downturn for workers.Certain hospitals and organizations offer warning without consideration about the discharged workers on the same day. Moreover, this existed in tiny clinics, where there were not very significant layoffs. Substantial government institutions,including A.U.B.M.C., B.M.G.and other hospitals,prefer cuts as a remedy.This research aims to determine the effect of forced termination health care institutions on survivors' effectiveness, performance, quality of service, and relational results
An empirical study on adult separation anxiety and the effect on children
(2022-05-02) Lourens, Melanie Elizabeth; Shet, Jayashree; Effendy, Femmy; Islam, Ashraful
The proper conceptualization and measurement of anxiety disorders is essential for both treatment and research. It has been analyzed in the history of anxiety disorder nosology and observed that divisions of "neurosis" have mistakenly diverted focus away from what is common to diseases that are now categorized independently. It has been noticed the evolution of agoraphobia terminology over time, as well as the significant variations between “DSM-IV and ICD-10 definitions”. It has been discussing the current debates over “posttraumatic generalized anxiety disorder diagnosis”, stress disorder, and acute stress disorder. Finally, It has explored the debates regarding where obsessive-compulsive disorder and putatively similar diseases need to be classified in future diagnostic classifications. Clinicians and academics interested in the neuroscience of anxiety disorders would benefit from our overview of disputed areas of diagnosis.
Growth prospects of franchising under current business scenario
(Regional Information Center for Science and Technology (RICeST), 2022-01-10) Muthukrishnan, K. Binith; Lourens, Melanie Elizabeth; Kumar, V. Ramesh; Naved, Mohd; Devesh, Sonal; Athawale, Shashikant V.
The article aims to objectively examine the history of Franchising in Europe by focusing on ties between franchisors and franchisees. We also carried out a comprehensive study, interacted with numerous prospective European franchisors and franchisees, and have been in service since 2003. Our results suggest that Europe has a very difficult negotiating franchise agreement. Franchising, which promotes strengthening of mutual links between countries at this point in the history of world economic relations, penetrates virtually every field of economic activities, is thus one of the powerful instruments for the transition to the creative development of the States, thereby ensuring their sustainable development, franchising supports improving trade ties between countries at this point of their growth since, nowadays, this is one of the most efficient and democratic forms of transcending national economies, affecting almost all fields of economic operation. Because of this, it is essential for the research. Comprehensive research of the contradictions in perceptions and real commitments on all sides of the franchising arrangement helps one resolve misunderstandings and remove automated performance ambitions. This article aims to have real consequences for the growth of Franchising in Europe, which will boost the performance and reputation of franchise enterprises by offering a comparative review to a preliminary screening of subjective hypotheses about the advantages of franchising and to suggest incorporating additions and clarity to the partners.
HR management in terms of improving employee retention within organizations
(2022-05-01) Vijayalakshmi, N. S.; Lourens, Melanie Elizabeth; Vyas, Sonali; Bhargava, Amitabh; Pathak, Anchal; Jayadeva, Sujay Mugaloremutt; Sidhu, Kawerinder Singh; Singh, Ankit Kumar; Alanya-Beltran, Joel; Panduro-Ramirez, Jeidy
The attrition is a dynamic concept which impacts business performance. This required HR management. Generally, managing a highly discerning and independent workforce becomes difficult. The attrition arises due to one or more issues. These include organizational health, morale and motivation, low perceived value and leads up to very tangible aspects such as shareholder return and value. There for required analyze HR management. This invention analyzes HR management in terms of improving employee retention within organizations.
The impact of critical success factors of knowledge management implementation on employee commitment at European MNE subsidiaries in emerging markets– perspectives from South Africa
(Kalahari, 2022-04-11) Lourens, Melanie Elizabeth; Chikukwa, Tatenda; Kanyumba, Blessing; Young, Aletta
This paper investigates the impact of critical success factors of Knowledge Management implementation on employee commitment at European MNE subsidiaries in emerging markets. MNE face various challenges when implementing Knowledge Management due to the scale of operations and subsidiaries in emerging markets are confronted with additional socio-economic challenges. Employee commitment is crucial to ensure the successful implementation of Knowledge Management initiatives. The study adopted a quantitative research approach using online electronic questionnaires administered to 1118 employees at seven European MNE subsidiaries in South Africa. Findings indicate a significant relationship (p < 0.05) between critical success factors such as leadership, organisational culture, roles and responsibilities, IT infrastructure and measurement tools, in order to ensure the successful implementation of Knowledge Management and employee commitment. The study recommends that employee commitment linked to Knowledge Management implementation at European MNE subsidiaries in emerging marketsentails variousconsiderations such as organisational structure, communication, remuneration and benefits, working conditions, and social status. A holistic approach to Knowledge Management implementation is recommended that combines infrastructure requirements, measurement tools and techniques, and organisational behavioural factors to ensure employee commitment.
Impact of digital gaming and enhanced screen time on physical and mental development of learners
(International Journal of Early Childhood Special Education, 2022-07-01) Choudhury, Sourav; Suri, Chanchal Sachdeva; Lourens, Melanie Elizabeth
The study explores impact of increased screen time and higher inclination toward digital gaming on physical and mental development of learners. An in-depth illustration of link between these digital factors and learners’ overall development is emphasised in this article, which is backed up with adequate statistical interpretations. This article is further developed with assistance of secondary qualitative data regarding research subject area, which has helped to review preexisting information in a systematic manner. Furthermore, importance of physical interventions is also discerned explicitly. Every detail provided by data raises concerns for learners’ physical and mental health challenges, which in turn, accentuates this article’s profundity.
The impact of internal control practices on minimizing fraud in companies
(2021-12-01) Cavaliere, Luigi Pio Leonardo; Lourens, Melanie Elizabeth; Muda, Iskandar; Kumar, Anil; Chabani, Zakariya; Swadia, Bhavik U.; Rajest, S. Suman; Regin, R.
Internal control structures are a collection of protocols and regulations that protect an organization's properties, minimizing possibilities for theft and maintaining an organization's potential. For an entity to operate, considerations must be identified to guarantee the organization's smooth functioning like materials, machinery, cash, etc. Certain associations were misled by their members and consumers. This methodology concerns quantitative evidence, as the name implies. There is a range of agreed methodological criteria for the method's feasibility, such as the number of respondents needed for statistically important outcomes. The quantitative method will be implemented to study employees' points of view in the workplace to internal control practices. It will measure the employee’s opinion based on a Likert scale ranging from 1 representing strongly agree to 5 representing strongly disagree. Failure to comply with internal controls is one of the key obstacles to producing good financial performance in companies. While there have been many initiatives in environmental regulation and regulations and internal auditing, a firm's financial success has seen nothing in corporate governance and government policy. Therefore, the relationship between internal control systems and the financial performance of entities must be defined. The research ends with the significant predictors of financial success that involve control setting, internal audit feature, risk reduction, control practices, and corporate governance. The research found that companies that provide effective frameworks for internal control depend on positive financial performance and investment valuation. Failure to respect internal controls is one of the main barriers to successful business success.
The impact of leadership on organizational justice on employees turnover intention addressing the three dimensions of organizational justice
(2021-11-15) Cavaliere, Luigi Pio Leonardo; Lourens, Melanie Elizabeth; Kankaew, Kannapat; Almahirah, Mohammed; Sathish, M.; Koti, Kartikey; Regin, R.; Rajest, Suman
Career fulfillment was considered a key subjective consideration for a successful career as a metric in assessing the entire career of an employee. Job satisfaction is a representation of a person's income, challenge, or protection values or desires, which may impact the appraisal of the person's achievements in his or her career. The conceptions of justice of multiple workforce growth-linked systems and procedures such as performance evaluations, recruiting decisions, and efforts for mitigation have great consequences for other career-related topics, including critical positions in self-efficacy. A quantitative approach is a methodology used to collect data. A way of calculating the mentality and skills of experience is intended. A study was performed using a questionnaire. The main purpose of a questionnaire is to obtain accurate responses to the survey objectives with the utmost credibility, authenticity, and significance. A questionnaire is often a written list of questions on which respondents report their answers. Questions have been asked in the questionnaire for reading, interpretation, and autonomy of answers. In order to classify the topics into various areas of job satisfaction and performance in their work environment, the respondents were invited to evaluate each object on a 5-point Likert scale of one to five (strongly agree). The hypothesis concerned about perceptions of distributive justice will be positively and directly related to employees’ satisfaction with the performance appraisal. This hypothesis was supported. On average, the higher the distributive justice and performance appraisals satisfaction is in the workplace, the higher the employee satisfaction will be.
Impact of leadership on organizational performance at pharmaceutical companies
(2021-10-20) Cavaliere, Luigi Pio Leonardo; Lourens, Melanie Elizabeth; Chowdhury, Arup Roy; Balasudarsun, N.L.; Soundararajan, Leo Rathinaraj Antony; Thankappan, Sreeja Mannickal; Rajest, Suman S.; Regin, R.
Leadership can be characterized in various manners that it is difficult to concoct a solitary working definition. The initiative is not only an individual or gathering of individuals in a high position. Authority is a cycle where the pioneer is given different exercises to accomplish any objective. Authority alludes to the conduct/demeanor to gather and direct the people towards any objective. The initiative is a correspondence cycle of leaders and individuals. So, the ampleness of an affiliation depends on the fruitful pioneer and the ground-breaking pioneer who has a practical power style. The organization is a huge factor for any affiliation or social occasion. At the beginning of this research, the researcher will talk about leadership style and its effects. Qualitative and quantitative analysis will take place in our survey questions that will be sent to Pharmagroup companies. The researcher will try to have some data from other companies if the researcher could, due to covid-19 and the difficulties in having interviews in the companies. So far, 40 responses to the questionnaire from 70 total employees and mainly the primary results show a strong impact of leadership on organizational performance. The key to success in the service sector and the whole company was the leadership behavior at Pharmagroup companies.
The impact of training and development on employee performance and service delivery at a local municipality in South Africa
(Business Perspectives, 2022-10-13) Nama, Khuselwa; Daweti, Baphiwe; Lourens, Melanie Elizabeth; Chikukwa, Tatenda
There is a growing concern about the lack of skilled municipal employees who can deliver essential services to under-resourced local communities in South Africa. However, coaching and mentoring appear underutilized to train municipal employees to improve service delivery to local communities. The study aims to investigate whether coaching and mentoring could capacitate municipal employees whose performance appraisal reveals a lack of skills to provide essential services. A cross-sectional research design was adopted to conduct a survey. The target population comprised 265 municipal employees, and a stratified random sample of 115 employees completed a questionnaire. The employees held positions of general managers, general assistants, and administrators, with varied years of experience. Cronbach’s Alpha indicated an overall high 0.8 questionnaire reliability score. Using a quantitative method, responses from municipal employees were collected to examine their perceptions of the influence of training and development on employee performance and service delivery. Hypotheses were tested using the bivariant inferential statistical tests of correlation (r) and Chi-square (χ2 ). The results indicated that training and development were more likely to improve employee performance. Furthermore, the results showed that trained employees were more likely to improve service delivery. In particular, coaching and mentoring could be used to improve performance. Therefore, the study found that the municipality was not providing employees with relevant training and development to enable them to address poor service delivery. Finally, the study recommends that the municipality invests in training and development to enrich employees with new skills and knowledge to improve the quality of service delivery
Inclination of higher education students towards medical and healthcare start-ups : an empirical study in the post covid scenario
(NeuroQuantology, 2022-06-01) Lourens, Melanie Elizabeth; Newaskar, Prabha Shakya; Satyamurthy, D.V.Satyamurthy.G; Tamijeselwan, S.
In an advanced world, extra fees aren't always a supply of worry, particularly if the pleasant of products and offerings received is better. Also, there's not anything uncommon approximately a populace stresses extra of a positive type of provider whilst its earnings capability increases. A better fashionable of dwelling is in truth a number of the elements which have brought about the increase in fitness care expenditure in latest decades. In maximum areas of the economy, the numerous troubles going through the fitness care machine might be alleged as possibilities with the aid of using marketers. However, on the grounds that health facility and scientific offerings believed to be vital are dominated with the aid of using the government – which price range 70% of the nation’s general fitness care costs – marketers are with the aid of using definition omitted from a massive a part of the fitness sector. In spite of governments having installation several running agencies and commissions, and regardless of the funding of huge sums of cash in latest years, our fitness care machine continues to be suffering to meet the people’s hopes. There isn't any uncertainty that marketers can be referred to as upon to soak up the demanding situations posed with the aid of using the getting older of the populace and the developing prices of fitness care on this nation. Sample of 215 students from higher education were considered to know different factors and their impact on Inclination of Higher Education Students Towards Medical and Healthcare Start-Ups. The study concludes that Scope and Opportunities, Skill and Talent, Entrepreneurial Consciousness and Awareness towards healthcare are the factors that determines the Inclination of Higher Education Students Towards Medical and Healthcare Start-Ups.
Interventions to minimize prejudice and discrimination against female child
(2022) Qasmi, Faiza; Islam, Ashraful; Gunathilaka, Chandana; Raj, Roop; Lourens, Melanie Elizabeth
The current article has been developedto minimize social prejudices and prevent girl child discrimination. It has been evaluated by collecting secondary data and different country considerations for girl child discrimination prevention. Secondary data analysis has been performed in the current article. Current concerning discrimination area of affecting girl child, intervention strategy and disclosure rate of discrimination cases for a different country. Intervention planning has been analyzed in terms of evaluating data of global commitment and intervention scheme impact for the girl child. Different discrimination prevention schemes and investment plans initiated by the government and mandatory education have been identified. From this analysis suitable future scope and recommendations have been suggested. Knowledge sharing about primary education needs and bringing them into child marriage prevention strategy is essential for making society safe for the girl child.
Investigation of auto emotional detection of health professionals based on bio information data analytics
(IEEE, 2022-04-28) Kumar, Ashish; Lourens, Melanie Elizabeth; Tiwari, Nitin; Dass, Pranav; Kumar, M.V. Suresh; Abdullah, Khairul Hafezad
Emotion detection is an important aspect in healthcare industries. Effective analysis of emotion detection helps in analyses patient's mental state, psychological state, disease progression rate etcetera. Emotion detection is also required for healthcare professionals (doctors and nurses). Automatic emotion detection is usually done with different technologies such as AI technology, multimodal system, pattern recognition, signal analysis, audio-visual analysis etcetera. The present research analyses the most effective technology for auto-emotion detection among all the technologies. The survey-based statistical analysis has been done in this research with 53 participants from different healthcare sectors of the United Kingdom. The data shows that AI-based multimodal system and Pattern recognition using Electrocardiogram and Electroencephalogram are the most effective technologies for automatic-emotion detection. The analysis also showed that emotion-detection is necessary for healthcare professionals and this analysis helps in enhancing patient's recovery rate by analysing their mental state.