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Service-oriented chatbot for essential oils using natural language processing
Get PDFThis Master’s thesis focuses on the need for a conversational bot for guiding a layman in the
application of essential oils as a medicine in the healthcare domain. Observing the benefits
of Ayurveda, people nowadays are increasingly using essential oils for treating their medical
conditions and their body has been responding well to it compared to any allopathic
treatment. But there is an issue which needs to be solved, for example, if a person wants
more knowledge about essential oils and starts searching on the web then she/he finds a lot
of non-essential and scattered information. This dissertation here aims at the usage of
essential oils for medicinal purposes. According to the questions asked by the user, the
artifact provides information on essential oils and suggests the use of it. With the help of
NLP, chatbot delivers the users’ application of essential oils and also suggests solutions to
their medical sufferings with these oils. The prototype has a safe and stress-reducing
interface for the user to find information and is liked by 70% of the people. This prototype
also increased the knowledge of 60% of the participants. Duckduckgo API and Tensorflow
are used for the advancement of the chatbot
Real time fraud detection using streaming batches & implementation of a real time data warehouse subtitle: a combined approach to machine learning & data storage
No full textAnomaly detection is becoming increasingly more important in sectors like banking, medicine, computer networks and many more. The volume of online transactions is increasing exponentially, and credit card online transactions represent the maximum share. Therefore, financial organizations are increasingly focused on applications for real-time, online fraud detection. In the case of real-time data, outlier detection is considered challenging. In this dissertation, a novel technique combining anomaly detection of streaming data in batches and the implementation of a RTDW (Real Time Data warehouse) for high-volume online processing system has been proposed. Well-known anomaly detection algorithms such as Isolation Forest, LOF and OCSVM have been implemented and compared based on AUROC accuracy scores. The RTDW has been implemented on Oracle 11g. Oracle GoldenGate is configured to bring latency down to 0.4 seconds. Isolation Forest detects the maximum anomalous behaviour on the real time dataset achieving the best accuracy score of 0.8022
Exploring the link between trauma, physical illness, and psychotherapy
No full textTrauma is prevalent, potentially to a higher extent than we realise. Chronic illness and medically unexplained symptoms are also very common. Healthcare systems in many countries are bursting at the seams with chronic and pain patients. This study focuses on the link between physical ill health and a history of trauma and childhood adversity. Previously, many studies have examined the relationship between past adverse experiences and chronic illnesses, with the consensus of a clear correlation between. However, few studies have considered the benefit of using this information to positively influence health management. Knowing the link between trauma and chronic illness could be utilised in the management of chronic illness in current health systems. After all, the efficacy of such systems is regularly questioned. The current study set out to find research on this, with the outcome showing a lack of any concrete data. The paper suggests the potential benefits of integrating trauma therapy into clinical settings. Trauma therapy can be complicated for psychotherapists, so such challenges are highlighted in this study. This paper concludes the need to address the difficulties in providing trauma therapy before aiming to use it in another complicated setting such as a healthcare system
A study on commercial utilisation of personal data and perceptions of data privacy amongst online users
No full textThis study aims to understand how commercial utilization of personal data challenges privacy. In addition, this research also seeks to understand perceptions of data privacy amongst online users. The purpose of this study is to unravel user’s perceptions towards their data; interpret if they are willing to trade personal data for benefits on the Internet and understand their awareness level on data security rights. The advent of the Internet and social media has been drastically integrated in all aspects of our lives. However, this has blurred the lines between privacy and sociality. Therefore, this research will throw light on the concerns regarding lack of transparency from companies about personal information disclosure levels. The study fulfilled the objectives by the way of an inductive and mixed-method approach mainly focusing on qualitative research. An online survey was conducted and the findings were analyzed using thematic analysis.
The findings indicated that transferring user’s personal information could affect individual’s opinions about online presence and data privacy. Users had laid-back attitudes while providing consent to service providers yet expressed concerns about their data online. They had surface-level knowledge about how commercial utilization of personal data works but there was lack of awareness about laws and policies to protect security of their data. The study concludes summarizing the key findings and offering recommendations that may provide safer online experience
MBA
No full textThe General Data Protection Regulation is an improvement to the existing Data Directive enforced on May 2018, for it to be followed; companies established methods of data processing which caused impact on the European Community. This paper was conducted among residents in Ireland aiming to identify the awareness and perception of people after the enforcement, in which extent they sense control their Personal Data, how aware are of their rights and the level of trust on companies that store information. Using quantitative method to make an exploratory research and deduct the response to the research question a questionnaire was applied to 133 persons, with inquiries about different aspects of the GDPR, obtaining almost 100% of the responses, they were analysed to reach the main objectives. The results obtained were in general terms positive, concluding that even though there are still work to do, awareness endeavours in Ireland have been effective
Customer churn – Irish electricty / gas market
No full textAccording to Little (2020) the liberalisation of the European Electricity market has resulted in higher competition which can be seen in the Irish market. The marketplace is evolving at a rapid pace requiring companies to have a strong understanding of their customers. An important element of this is to analyse why customers switch energy suppliers. While market share can be driven by attracting new customers it can also be said retaining customers is a more cost-effective way of maintaining revenues.
The purpose of this project was to carryout customer churn analysis on an Irish electricity supplier to allow them to identify when a customer may churn
Cultivating a compassionate self through meditation
No full textContemplative traditions for millennia contemplated Compassion as a fundamental part of humanity, and in recent years, it has received major scientific interest. This paper is an attempt to provide a deeper understanding of Buddhist Meditational practices in cultivating Compassionate contact. Using a qualitative methodology, this study explored meditational insights of five advanced meditators, using semi-structured interviews. Interviews were transcribed and analyzed using an inductive thematic analysis, within essentialist/realist approach. Four themes emerged {1} the psychological art of meditation, {2} the cultivation of compassionate human being, {3} understanding who we are through meditation, {4} Buddha nature. Although further research is essential, the current state of evidence illustrates participant’s meditational experiences and the potential benefits for the individual and the society
Application of blockchain technology to organised hospitals in India: a review of opportunities in supply chain
No full textSince the advent of blockchain via Bitcoin, progress and study has continued to expand its implementation to non-financial use cases. Health industry expects to have a profound impact from the implementation of blockchain technology. Despite key developments in medical informatics and operations, there has been little advancement to date on resolving process-related challenges in the supply chain. Specifically, primary supply chain processes for hospitals include drug shortage tracking, product expiration, counterfeiting and drug recalls. Successful implementation and execution of these operations in a trusted, reliable, globally accessible and traceable fashion is intimidating because of the complex nature of the value chain, which is susceptible to systematic defects and superfluous efforts that may negatively impact patient safety and health outcomes. This paper focuses on a literature analysis and expert interviews for determine the current structure of Indian healthcare supply chain, key challenges faced by the organised hospital chains and discusses the opportunities for application of blockchain technology. The approach is to challenge the traditional view and to recognize blockchain solutions that will enhance the supply chain capabilities with the healthcare businesses. The study reviews major challenges in the supply chain of hospitals in India and identifies opportunities where blockchain technology can play a major role in transforming and improving now, and in the coming years
The impact of personality traits on the performance of Brazilian expatriates working in Europe
No full textExpatriates are an ever-growing topic for International Human Resource Management and companies worldwide.
This study examined the relationship between the personality traits of extraversion and openness and the self-perceived job performance of Brazilian expatriates. With a sample of 102 expatriates (40 company assigned and 62 self-expatriates) the study focused on their self-perceived performance and personality traits. It also explored the differences between the personality traits of the two groups. Through a quantitative approach using the Big-five factor model, personality traits of respondents were accessed and tested along with their self-perceived performance. Demographic characteristic of gender was also examined and compared with performance. Results found a significant relationship between extraversion and openness and self-perceived performance. Results also indicated a significant difference in openness and extraversion scores between assigned expatriates and self-expatriates, with self-expatriates presenting higher scores in both traits compared with company assigned expatriates. No difference was found in performance regarding gender.
The findings of the present study are consistent with the findings of some previous research on the topic of expatriation and suggested that expatriates with high scores in extraversion and openness are more likely to adjust and perform better on international assignment