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Prevalence of Lifestyle Changes in Online Learning Technology among College Students During Covid-19 Pandemic
No full textBackground: Several students' academic careers were affected by the COVID 19 pandemic over the world, and it even caused a considerable disruption to the education industry, which intensified psychological distress.
Objective: To estimate the prevalence of lifestyle changes happened in online learning by use of the Euro Quality of life 5D 5L questionnaire among college students during covid 19 pandemic.
Methodology: About 670 college students were included. A pre-structured questionnaire was used to collect information. Based upon the selection criteria, the participants were selected for the study. Participants were asked to fill the Euro quality of life 5D 5L questionnaire. The evaluator was assigned to score each question. A demographic pre structured questionnaire containing details of personal data and impacts on quality of life was collected.
Result: Mobility, self-care, regular activities, anxiety/depression and pain/discomfort are all heavily influenced, according to the statistical research. Results indicated that the overall health of the students were affected as the reported negative health (77.98%) was higher than the positive health (22.01%).
Conclusion: In this study, students taking college level professional courses in online during covid 19 pandemic have seen a high prevalence of effect in their physical, emotional welling and decreased in overall health have been explored
Predicting Stock Prices Using Data Mining Technique
No full textThe stock market, for a long time, has been known as a complicated yet captivating system. It is a mainstream investment platform for both beginners and financially savvy people to grow and hold their assets. While it remains a good way to earn profit, the stock market is often considered as one of the risky approaches, mostly due to the nature of the field, and an enormous number of various factors that not often welcome the naïve investors. Therefore, the demand for using a tool that can support us on an overall view of the market trends, facilitating the financial analysis and strategies to identify the optimal time to purchase stocks and the actual stocks to purchase has risen for many years recently. In this study, we focus on using data mining techniques that can support investors in predicting the stock price with existing data from previous phrases. Given data is taken from Yahoo Finance within the 7-year period from 2015-2022. This data will be used to train the algorithms, then we can decide which one is the most suitable for the data mining tools to give the best suggestions for investors
Changes in Transport Patterns in the Light of External Environmental Risks
No full textOur research aimed to explore the extent to of the effects of recent global socio-political�economic events (e.g. the pandemic, the Ukrainian-Russian war, the energy crisis, and inflation)
have influenced and changed people's transport habits, disaggregated by age groups. The survey
was conducted in Hungary in May-June 2023 using an online questionnaire survey. We assume
that based on social habits, people, regardless of age, prefer public transport over private cars.
People like more walking or cycling to work or school when they can, and most of them do not
use cars for small shopping trips either. In terms of car use, the use of electric or hybrid vehicles
is less relevant in Hungary, while petrol or diesel cars predominate. We found out that people's
transport habits have changed in recent years due to external negative impacts on society.
During the pandemic, there was a shift away from public transport, but now that the pandemic
is over, the energy crisis and inflation (e.g. significant fuel price increases) have led most people
to prefer alternative means of transport and public transport options. Quantitative research
results showed that the under-18s in Hungary mainly walk or travel by bus and bicycle, young
people aged 18-25 go on foot, by car, bus, and train, the 26-55 age group by car, car and on
foot, the 56-65 age group by car and on foot and the older generation (66+) on foot, by bicycle,
bus, and car. A higher proportion of respondents between 36-45 years use diesel vehicles and a
higher proportion of respondents aged 18-35 and 46-65 years use petrol vehicles. Inflation and
changes in energy prices have increased the use of bicycles in all age groups. Bus and train use
has increased in the age groups under 18, 18-25, 46-55, and over 66. The use of private cars
fuelled by petrol or diesel increased only in the 26-35 age group. There is also an increasing
tendency towards walking in all age categories
Atomistic Study of the Bandgap Engineering of Two-Dimensional Silicon Carbide by Hydrogenation
No full textThis work studied hydrogen adsorption by a two-dimensional silicon carbide using a combined molecular dynamics and density functional theory approach. The geometrical properties of partially and fully hydrogenated structures were investigated, considering the effect of zero-point energy. The preferred hydrogen atom location is on top of silicon atoms. The hydrogen interaction energies were obtained for the first time as the attractive force. For fully hydrogenated 2D SiC, the chair-like conformer is the most stable configuration, and the next is the boat-like conformer, while the table-like structure is not stable. The coverage and arrangement of the adsorbed hydrogen atoms significantly influence the values of the direct/indirect bandgaps of the considered systems, increasing the bandgap to 4.07, 3.64, and 4.41 eV for chair-like, table-like, and boat-like, respectively. Their dynamical stability was investigated by phonon dispersion calculations. The obtained results can serve as a guide for the application of hydrogenated two-dimensional silicon carbide in optoelectronic applications in manufacturing innovation
A REVIEW ON IMPACT OF STRESS ON THE WELL BEING OF COLLEGE STUDENTS
No full textStress represents a state of psychological unease experienced by individuals with meticulous
personalities, stemming from challenges within their environmental and social spheres, and often
resulting in a range of health issues. The period of adolescence emerges as a pivotal phase,
characterized by substantial life changes for students. In today's modern era, students navigate an
exceedingly competitive world that places significant stressors on them, demanding their
adaptation for survival. Stress emerges as an inevitable facet across all facets of human existence,
creating emotional imbalances among students for various reasons including academic
evaluations, assignments, and the competitive nature within their chosen fields. Additionally,
concerns about financial matters related to education and future employment prospects contribute
to this stress. In light of these considerations, a comprehensive research review was conducted to
gauge the magnitude of stress, identify its causative factors, and discern its multifaceted impacts.
Based on the existing study this research reveals an array of environmental, social, and personal
triggers responsible for the stress experienced by college students. Moreover, the ramifications
extend to their physical and mental well-being, profoundly impacting their holistic development
Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
No full textThe stock market that has been known volatile is always an attractive target for the researchers to
perform research and experiment on. Stock trend prediction is one of the most famous topics that
is done as the movement of a stock is full of uncertainty and is affected by many different factors.
In this research, the technical indicator of a stocks has been utilized (MA, EMA, RSI and MACD)
to get the signal of the upcoming trend of a stock in order to achieve stock trend prediction.
Machine learning techniques is also applied to process those stock data and stock indicator. The
technique that is proposed to develop the stock prediction model is the Long Short Term Memory
Neural Network, also known as LSTM. After the model is developed, it will be used to carry out
prediction on stock and compare the actual stock movement with the predicted stock movement to
find out its accuracy in making stock trend prediction. Three stocks will be used to validate the
performance of the model which are Public Bank, Tenaga, and Apex Healthcare. The results show
that the trend of the inspected stocks are successfully predicted using the LSTM model
NOKIA, THE LOST SIGNALS
No full textThe decline of Nokia, formerly a prominent player in the mobile phone business, signifies a
substantial downfall resulting from the company's failure to adjust to the swift advancements in
the smartphone market. Nokia, although initially successful with its robust and reliable mobile
devices, failed to accurately predict and successfully address the emergence of touchscreen
smartphones, which were spearheaded by competitors such as Apple and Samsung. The antiquated
Symbian operating system, employed in previous iterations of Nokia phones, demonstrated
inadequacy in comparison to contemporary platforms like iOS and Android. Nokia formed a
strategic alliance with Microsoft in 2011, with the aim of recovering its market share. As part of
this collaboration, Nokia decided to use the Windows Phone platform for its handsets.
Nevertheless, this approach proved ineffective in turning around the company's financial situation.
Nokia's lack of adaptability, inability to keep up with industry changes in terms of innovation, and
strategic errors ultimately resulted in its financial difficulties. Microsoft purchased Nokia's
Devices and Services division in 2014, effectively ending Nokia's previous dominance in the
mobile phone manufacturing industry. The downfall of Nokia serves as a warning example of the
negative outcomes that arise from being too comfortable and the urgent need for enterprises to
quickly adjust in rapidly changing technology environment
ROLE OF TECHNOLOGY IN ENHANCING THE VISIBILITY AND TRACEABILITY IN THE AGRI-FOOD SUPPLY CHAIN MANAGEMENT
No full textThis study examines how technology is critical in improving traceability and visibility in the
complex ecology of agri-food supply chain management. The agri-food business
recognizes that incorporating advanced technologies is essential in an era distinguished by
changing customer preferences, strict regulations, and a rising emphasis on sustainability. This
study offers a comprehensive analysis of the ways in which technological advancements help
the Agri-food supply chain as whole overcome obstacles, become more efficient, and maintain
its integrity.
The study investigates the advantages of Radio-Frequency Identification (RFID) technology
and Internet of Things (IoT) devices for real-time monitoring of vital parameters like
temperature, humidity, and product placement. Implementing blockchain technology is closely
examined because of its potential to establish end-to-end traceability, strengthen the integrity
of the supply chain, and produce an indestructible and transparent database. The purpose of
this research paper is to present an in-depth understanding of the ways in which technology is
transforming the agri-food supply chain. The findings show how important these technical
developments are to fulfilling customer demands, ensuring food safety, and promoting
sustainability in the agri-food sector
A REVIEW OF BURGELMAN AND GROVE’S CONCEPT OF STRATEGIC DISSONANCE
No full textStrategic dissonance, a concept central to the field of strategic management, encapsulates the inherent
challenges organizations face in maintaining alignment between their intended strategies and the
actual execution of those strategies. This phenomenon arises from dynamic interactions between
external environmental changes and internal organizational dynamics, often resulting in a divergence
between strategic aspirations and realized outcomes. This abstract explores the key dimensions of
strategic dissonance, including the tension between intentions and actions, the impact of
environmental shifts, the influence of organizational inertia, and the necessity for continual learning
and adaptation. Addressing strategic dissonance requires organizations to navigate a complex
landscape, embracing flexibility, responsiveness, and a proactive approach to strategy execution. The
ability to recognize and reconcile strategic dissonance is integral to organizational agility and
sustained competitiveness in a rapidly evolving business environment. This article review serves as
a foundation for further exploration and analysis of the multifaceted nature of strategic dissonance
and its implications for strategic management
BRAND IMAGE, STAFF INTERACTION BEHAVIOR AND OVERALL SERVICE QUALITY ON DECLINING SALES: A CASE STUDY OF STARBUCKS COFFEE MALAYSIA
No full textThe selected company for the case analysis and evaluation is Starbucks Coffee Malaysia Company.
The company is selected due to its strong presence and established reputation in the food and
beverages market, as well as its effective business approach. The corporate profile will consist of
four subparts: the company's history, functions, brand positioning and competitive strategies of the
organization within the local context of Malaysia. This study aims to investigate the variables
contributing to the decline in sales at Starbucks Malaysia. This study examines three independent
variables that are associated with the causes contributing to the decline in sales: brand image, staff
interaction behavior, and overall service quality, also referred to as customer service. We shall
conduct a comprehensive analysis of how these three factors contributed to the decline in
Starbucks' sales in Malaysia. The study was done by distributing the questionnaire via Google
Form to a sample of 120 Starbucks customers in Malaysia. The dependent variable has a positive
correlation with all of the independent factors. The study's consequences lie in its ability to offer
insights into the variables that contributed to the decline in sales, as well as strategies to address
these issues and enhance sales while minimizing the risk of further declines