bluuebunny/crossref_metadata_2025 huggingface dataset:
HEALTH CARE MEDIBOT IN MEDICAL FIELD USING MACHINE LEARNING
Authors:   Assistant Professor, Computer Science and Engineering, Raghu Engineering College, Visakhapatnam, Prasanna Thattikota Devi
Published: April 2024

Health is considered an important part of human health, including physical, mental and social health, and plays an important role in our lives. Hospitals are the most common way for patients to receive physical examinations ,diagnosis , treatment recommendations. However, it Is very difficult to take every minor health problem to a doctor and get approval from the doctor. The idea is to use artificial intelligence to create a “medical chatbot” that can diagnose disease and provide useful information about the disease before going to the doctor. Chatbots are computers that use natural language to interact with users. The main goal of the project is to create a Medibot that can assist doctors and patients with tasks such as symptom assessment, diagnostic support, treatment recommendations and publication of medical information. Medibot will use machine learning algorithms that learn from big data of medical conversations to understand users' questions and ideas and respond accordingly. medical software or existing platforms and perform rigorous testing to ensure accuracy and reliability. A continuous evaluation and improvement process will be used to improve Medibot's performance over time. Through this project, the team is focusing on the development of AI driven solutions in healthcare while solving real-world problems faced by doctors and patients. Deploying Medibot has the potential to improve clinical processes, improve access to medical information, and ultimately improve patient care outcomes Key Words:: Medibot, Rasa framework, Health, Artificial intelligence, Natural language processing, Queries, Deployment of ML algorithms, intent, entity
Image and Video Segmentation Using Yolo-Nas and Segment Anything Model (Sam): Machine Learning
Authors:   Assistant Professor, Computer Science and Engineering, Raghu Engineering College, Visakhapatnam, Sowdanya Chintada Sravanthi
Published: April 2024

In this article, we evaluate the effectiveness of computer vision and machine learning, which are revolutionizing photography and video studies, ushering in an unprecedented era of creativity and informed consent for study. Despite many advances in the field, object recognition and classification have become technologies with many applications, from advanced analytics to enhancing driving safety for augmented reality. This research uses two advanced models, YOLO-NAS (You Just Look at Neural Architecture Search) and Segment One (SAM), to analyze the evolution of image and video segmentation. In real-time search of products and components, YOLO-NAS and SAM models have established a good relationship and are expected to become a unified system for image and video segmentation in digital transformation. Key Words: YOLO-NAS, Convolutional Neural Networks (Cnns), Object Recognition, Computer Vision, Spatial Attention Module (SAM), Instance Video Segmentation, And Image Segmentation.
Crop Recommendation System with XAI
Authors:   dept of CSM,  Raghu Engineering College, dakamarri, Bheemunipatnam Visakhapatnam Dist. pin code: 531162, K . Kiran,
Published: April 2024

Modern agriculture is increasingly leveraging advanced technologies like XAI for improving crop recommendation systems. This paper presents a unique approach that integrates XAI methodologies into crop recommendation frameworks to improve transparency and interpretability. By harnessing machine learning models such as classification & regression techniques and ensemble techniques alongside XAI explanations, our system offers personalized crop suggestions based on environmental and geographic data. Our study contributes to the agricultural sector by enhancing the transparency of crop recommendation systems using XAI, allowing farmers to grasp the underlying factors influencing each recommendation. We investigate various machine learning algorithms and their interpretability within the context of crop selection, emphasizing user-friendly design and actionable insights. This research aims to advance agricultural decision-making by advocating for the adoption of XAI-driven crop recommendation systems, empowering farmers with accessible and understandable information to optimize crop yield and sustainability. This approach not only supports informed decision-making but also fosters trust and acceptance of AI-driven solutions in agriculture. Keywords Crop recommendation, ML algorithms, XAI, Agriculture, Decision support, Precision farming
An Analytical Study of Customer Satisfaction to Maruti Suzuki
Authors:   Master Of Business Administration  School of Business   Galgotias University, Rai Deepak Kumar
Published: April 2024

It is a true fact that if you are satisfied you recommended to others. Word of mouth and customer satisfaction play a very important role in determining market perception about an automobile. It is the market perception that determines the success of a company and so it is very important for the car manufacturers to measure the “willingness of existing users of a product to recommend it to others”. The same is a lot of interest to customers as well for it helps them make the purchase decision. A car is one of the most significant purchases that an Indian household makes and this project addresses the most important question that perplexes car manufacturers; “What makes the perfect car that influence willful purchase?” The project highlights the factors that influence the buying decision of a Consumer. The factor under consideration would be: Price Income of the consumer Features in the car Safety standard Warranty scheme Finance facility Post sale service Customer Relationship Management
Risk Mitigation and Strategies in Aviation
Authors:   School Of Business  Galgotias University, Kumar Akash
Published: April 2024

In today's dynamic and uncertain business environment, organizations face countless risks that can significantly affect their operations, finances and reputation. The spectrum of risks is broad and constantly evolving, from natural disasters and economic downturns to cyber security threats and regulatory changes. Effective risk management is essential for organizations to manage these uncertainties and protect
HR Analytics and its Impact on Organizations Performance
Authors: Johar Rashmeet Kaur
Published: May 2024

HR practices shift from intuition-based to evidence-based decision-making when HR Analytics uses data analysis to extract insights from employee information. The impact of HR analytics on organizational performance is examined in this abstract from a number of angles. Organizations can find patterns and trends in areas like hiring, training, retention, and performance by examining employee data. These revelations enable data-driven choices that enhance HR procedures, resulting in: • Better Talent Acquisition: HR analytics can find high-achieving applicants, cut expenses associated with hiring, and simplify the hiring procedure. • Enhanced Employee Development: Data analysis facilitates the customization of training curricula to meet the needs of staff members, promoting the growth of new skills and enhancing productivity. • Lower Turnover: HR analytics helps create focused retention plans by identifying variables that contribute to employee churn, which raises morale and satisfaction among staff Enhanced Productivity: Organizations may discover areas for improvement and optimize workflows with the use of data-driven insights, which results in a workforce that is more productive. All things considered, HR analytics is essential to coordinating HR strategy with overarching corporate objectives. HR analytics helps businesses gain a major competitive edge by turning people management from a cost center to a strategic asset. This article examines the diverse applications of HR analytics across various organizations, as well as the advantages associated with its utilization. By utilising the data that the business has accessible, analytical tools enable organisations to identify problems with performance, employee retention and turnover, employee conduct, etc. Many organizations undervalue the role of HR, but in this day and age of advanced technology, numerous analytical members.
E- NOTICE BOARD PORTAL
Authors: Dharshini G B Dhivya
Published: April 2024

The Web-Based Notice Board Portal is a dynamic and user-friendly online platform designed to facilitate efficient communication and information dissemination within organizations, institutions, and communities. The project is concerned with managing notice board information through online. The project contains department, circulars, events, holidays, functions, seminars, sports, competitions and placement information processing through web pages.The administrator logins to the web site and adds all the department details. Various day-to-day activities to be announcement to all staff and students are stored as records instead on printing the information and placing in physical notice board as hard copies. During the notices entry like function or seminars, the details can be mail alerted to given staffs. Various search options are provided for easy data retrieval to administrator and staff, students. Keywords—ubiquitous life and learning, smart campus, digital notice boards, context aware IoE, GSM Module, Control Centre.
PLANTS LEAF DISEASES DETECTION USING DEEP LEARNING
Authors: Himabindu Bikkili Alekya
Published: April 2024

Agriculture field has a high impact on our life. Agriculture is the most important sector of our Economy. Proper management leads to a profit in agricultural products. Farmers do not expertise in leaf disease, so they produce less production. Plant leaf diseases detection is the important because profit and loss are depending on production. CNN is the solution for leaf disease detection and classification. Main aim of this research is to detect the apple, grape, corn, potato and tomato plants leaf diseases. Plant leaf diseases are monitoring of large fields of crops disease detection, and thus automatically detected some feature of diseases as per that provide medical treatment. Proposed Deep CNN model has been compared with popular transfer learning approach such as VGG16. Plant leaf disease detection has wide range of applications available in various fields such as Biological Research and in Agriculture Institute. Plant leaf disease detection is the one of the required research topics as it may prove benefits in monitoring large fields of crops, and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. Key Words: Diseases, CNN, Deep Learning
ENHANCING STRENGTH OF EXISTING R.C.C. OVERHEAD WATER TANKS WITH Y TYPE STEEL BRACINGS UTILIZING NDT
Authors: Bankhede Devendra
Published: April 2024

Reinforcing of R.C.C. overhead tank greatly improved choice to upgrade the security and increment the existence time of design and furthermore it requires less economy and time. Steel bracing have demonstrated to give greater stability and sturdiness to any design. These bracing would bear both horizontal and vertical load in an exceptionally protected way. In this research, application of Y shapes steel bracing at every stage of RCC elevated Water tank was investigated to strengthen the model. Such bracing are generally used to strengthen the structure in high intensity seismic zones. This dissertation mirrors the utilization of non-destructive tests for appraisal of existing R.C.C. Overhead tank, trailed by examination through STAAD-Pro, with or without Y bracing to comprehend the impact of bracing on existing damaged R.C.C. Overhead Water Tank. Keywords: Staad.Pro, RCC water Tank, Y Bracing, Non Destructive Test (NDT).
PATIENT MONITORING HUMANOID ROBOT FOR PANDEMIC SITUATIONS
Authors: Pawan P Mr.
Published: April 2024

Humanoid robots are a rapidly evolving field of research and development that aims to create robots with human- l ike characteristics and capabilities. These robots possess a wide range of applications, from assisting humans in various tasks to exploring environments that are hazardous or inaccessible to humans. The development of humanoid robot involves the integration of advanced technologies, including robotics, artificial intelligence, computer vision, and natural language processing. This abstract explores the key aspects of humanoid robots, including their design, locomotion, perception, cognition, and interaction capabilities. It discusses the challenges involved in creating humanoid robots that can navigate complex environments, recognize and manipulate objects, understand and respond to human speech and gestures, and exhibit social behaviours. The abstract also highlights the potential benefits and ethical considerations associated with humanoid robots, such as their role in healthcare, education, e n t e r t a i n m e n t , a n d d i s a s t e r r e s p o n s e . Furthermore, the abstract addresses ongoing research efforts and technological advancements in the field of humanoid robotics, including the development of more dexterous and agile robot improvements in human- robot interaction, and the integration of machine learning and deep learning techniques. It emphasizes the importance of interdisciplinary collaboration and the need for robust hardware and software solutions to overcome the challenges faced in creating humanoid robots. Keywords—ATmega8 microcontroller, DHT Sensors, Heart Beat Sensor,LCD.
Design and Analysis of Drone Landing Gear for Agriculture
Authors: Shukla Dr.Anoopkumar
Published: April 2024

This study aim to design and analysis of drone landing gear with spring suspension for agriculture. A literature review was conducted to examine the existing research on the topic of agricultural drone and it’s landing gear. Then testing present landing gear has been done and also the designing and analysis of new landing gear with suspension has been done. The result show that the drones landing gear without suspension break easily. This also shows that the landing gear with suspension have more life time then the landing gear without suspensions system. Key Words:agricultural, drone, spring suspension, landing gear
INVESTIGATION OF WASTE HEAT RECOVERY SYSTEMS USING THERMO-ELECTRIC GENERATORS AND SIMULATIONS FOR USED AUTOMOBILE RADIATORS
Authors: CHOUDHARY PRAVEEN KUMAR
Published: April 2024

Providing good and best solutions to everyday problems varies day by day with the evolving technologies. The solution pertaining to the problems associated with the exhaust gases from the automobile or other such equipments revolves around only on the ways of reducing the pollution. Many designs and developments are also made in terms of alternative energies at low cost. One such ideology is to recover and reuse the energy that is exhibited out in the form of liquid or heat. Waste heat recovery will be a new energy source. Thermal fluid flow heat recovery system from Automobile radiator with internal and external tubes is one such option .While most of the state of art papers considers only the waste heat as energy source, this thesis discusses the usage of phase changing materials in the external fluid flow tubes in heating and cooling paths. Both the static and dynamic nature of the energy is used in the work. Design and development of heat energy recovery system from the air cooled radiator is made. The system is very challenging and it plays a major role in the works where the heat energy is recovered as electrical energy which paves way for an additional usage of TEG. Key Words: Thermoelectric generator,radiator,phase change material, energy conservation
ANALYSIS THE EFFECTIVENESS OF THERMOELECTRIC POWER GENERATION USING WASTE HEAT RECOVERY
Authors: SHEIKH SAHIL
Published: April 2024

Non-renewable energy resources, which account for about 85% of worlds’ energy (68% fossil fuels are used for electric power generation), are getting exhausted rapidly. As predicted by the Institute of Sustainable Energy Policies, by the year 2050, only 33% of non-renewable energy resources will be available for electric power generation. Hence, to meet the required demand, the remaining 67% has to be replaced by renewable energy sources. This demand in electric power generation has to be met by a pollution free, low-cost, clean energy resource, which is the need of the hour. The present research targets towards two main applications for generating power using the biomass energy based resources. They are domestic based application – burning biomass wood and utilizing the heat for generating power, industrial based application – combustion of gasified de-oiled Pongamia cake and utilizing the heat energy for generating power In order to achieve the proposed target, initially, the theoretical modeling on the performance of (Bi2Te3-PbTe) hybrid thermoelectric generator (TEG) composed of n-type Bismuth Telluride - p-type Lead Telluride semiconductor materials has been done. The effect of different performance parameters on the maximum conversion and power efficiencies have been theoretically analyzed by varying the hot side temperature. Key Words: Hybrid Thermoelectric Generator, Electric Power Generation, Graphene Nanoparticles.
Deep Learning Classification using MRI for Alzheimer’s Disease Detection
Authors: Murthy V Dr. Sreenivasa
Published: April 2024

Alzheimer's disease is an incurable, progressive brain disorder that gradually destroys memory and cognitive function, and eventually the ability to perform even te most basic tasks. It is now considered to be one of the most common illnesses worldwide. Furthermore, there is no known cure for Alzheimer's disease. Convolutional Neural Networks (CNNs), a type of deep learning technique, are used to work on interaction for the identification of Alzheimer's infection. CNN has made great strides recently in the analysis of MRI images and medical research. Much research has been done to determine the exact location of Alzheimer's disease based on brain MRI images that are processed by CNN. However, a fundamental limitation is that there was no demonstration of a valid link between a suggested model and pre-trained models. Thus, utilizing the ADNI MRI dataset, we present a 6-layer CNN model for binary classification in this study to identify Alzheimer's. Our model's presentation is compared to a few other CNN-based models in terms of review, F1 score, ROC bend, and accuracy, precision, and accuracy on the Alzheimer Disease Neuroimaging Initiative (ADNI) dataset. The focus of the paper is our CNN model, which has an accuracy of 98.83%, better than the other previously proposed CNN-based models that are provided on the ADNI. The trial output demonstrates our model's supremacy over the other models. Keywords: CNN, MRI, ADNI, Alzheimer, Deep Learning, Machine Learning.
DESIGN & FABRICATION OF CHASSIS FOR TELESCOPING 3-WHEEL GO-KART
Authors: RAJU NAGA
Published: April 2024

Most of the recreation parks are using 4-wheel petrol (or) diesel powered go-carts which are expensive, heavy in weight and pollutes the environment. As the fossil fuels are depreciating and cost of the fuels is also increasing rapidly in global markets, it is very much essential to develop new go-kart designs with less weight, runs on electric energy (battery) so that it is not dependent on costly imported fuels like petrol / diesel and also consumes less energy. 3 Wheel electric (battery powered) Go Kart is one of the less weight designs that consumes less energy and adds no pollution to the environment. As a part of our project dissertation, we are planning to fabricate chassis for telescopic 3-wheel go-kart. Telescopic 3-wheel go-kart has fallowing advantages when compared to 4-wheel 2-seater go- karts; Less in mass hence gives good energy economy No pollution Easy to transport as it occupies less space Project Involves; Study of various types of chassis, materials used for chassis, structural elements like pipes, plates and flats, fabrication operations like welding, cutting, drilling, etc.
DEVELOPMENT OF AUTOMATIC INDICATOR AND SAFETY DEVICE ON BIKE
Authors: ASHRAF SHAIK
Published: April 2024

Bikes are most preferred vehicles due to low initial cost and maintenance. the commercial utilization of bikes with the introduction of Uber, Rapido, Ola etc is increased. Indicators- whether attached at the front, side or rear of the vehicle – provide information for other road users through their signals and are thus responsible for safety on the roads to a substantial extent. Negligence in using the indicators often leads to accidents. Which can be avoided by incorporating automatic indicators and safety cut-off switch for safety on commercial bikes. This project involves developing of automatic indicators and safety device for bikes. The automatic indicator after completing a turn switches off automatically in case the rider forgets to switch off, which results in decrease in accidents. Safety Cut – off switch can be used to alert or cut-off the power to EV motor or Engine when co-rider senses some risk from driver. Study of various types of indicators and functionalities, sensors, switches and mountings for automobiles is carried out extensively. The integration of automatic indicators and safety devices on bikes represents a significant step forward in enhancing both the functionality and security of two-wheeled transportation. By automating indicators, riders can focus more on the road ahead, reducing the risk of accidents caused by distracted riding. Keywords: Indicators, Controller, Battery, Sensing Element, Emergency Safety Cut Off Switch.
A STUDY ON ARTIFICIAL INTELLIGENCE IN HR
Authors: Rajasekhar Dr.T.
Published: April 2024

Artificial Intelligence is rapidly revolutionizing so many industries at such an alarming rate that one such advanced AI robot, Sophia, joined the panel and was pitched questions during the United Nations’s convention on sustainable development. Artificial intelligence is producing multiple solutions for hiring managers including basic recruiting tools, intermediate applications and advanced AI solutions. Together or independently, these tools are creating a more effective way for human resources to predict a candidate’s future success with their company. artificial intelligence (AI) is transforming the human resources field altogether. The current study would throw some light on artificial intelligence breakthroughs and implications with respect to HR . KEYWORDS: Artificial, Intelligence, Human, Resources, Functions, Implications
PERAN DESAIN PEKERJAAN DALAM MENINGKATKAN EFEKTIVITAS KINERJA KARYAWAN DI ERA DIGITALISASI
Authors: Claudi Meiske , Hadiani Nor Aprina
Published: April 2024

In the era of continuous digitalization, job design has emerged as a key factor in enhancing employee performance effectiveness. This literature review explores the role of job design in the new context of a workplace transformed by technology. With a focus on how digitalization can be both an enabler and a disruptor, this article synthesizes recent research to identify the most substantial elements of job design that influence employee performance. The study includes an analysis of job design dimensions such as autonomy, task variety, task identity, and feedback, all of which have been disrupted by digital changes. By combining various theories and empirical studies, this article proposes a comprehensive framework that integrates classic job design principles with the demands and opportunities created by the digital era. The findings indicate that progressive adaptation of job design can strengthen employee engagement and organizational resilience to change. Furthermore, this article identifies research gaps and recommends directions for future studies on job design in an ever-changing technological era. In conclusion, a deep understanding of the interaction between job design and performance effectiveness in a digital context is essential for the development of responsive and sustainable human resource strategies.
PENGARUH WORD OF MOUTH, DISSATISFACTION, VARIETY SEEKING TERHADAP BRAND SWITCHING JASA KURIR J&T EXPRESS
Authors: Ramadhan Anzala Sahru , Marpaung Nicholas
Published: April 2024

The intense competition among courier service brands has led some consumers to choose to use J&T Express because it is considered better than other courier service brands. Factors that can influence this brand switching are word of mouth information from consumers, dissatisfaction, and the search for new variations. This study aims to analyze the influence of word of mouth on brand switching in J&T Express courier services, analyze the influence of dissatisfaction on brand switching in J&T Express courier services, analyze the influence of variety seeking on brand switching in J&T Express courier services, and the influence of word of mouth, dissatisfaction, and variety seeking on brand switching in J&T Express courier services. Sampling was done through probability sampling technique using 100 respondents as samples. The data analysis methods used are validity test, reliability test, classic assumption test, multiple linear regression analysis, and hypothesis testing. The results of this study indicate that word of mouth, dissatisfaction, and variety seeking have a significant and simultaneous effect on brand switching.
MALAYSIA’S INDIGENOUS COMMUNITY IN THE MEDIA: DECONSTRUCTING THE RHETORIC OF OTHERING IN DISCOURSE
Authors: JAMAL MARLINA
Published: April 2024

Media possess the ultimate power to shape cognition of the society and plays a fundamental role in the (re)production of elements of biasness and discrimination in contemporary society. In the field of ethnic affair, the news media become the most important source of access to information concerning the indigenous community. In this context, the study aims to unravel the projection of Malaysian indigenous community; the Orang Asli in a selected news media through the application of van Dijk’s Theory of Semantic Macrostructure. Attention is paid to the deployment of rhetorical structures and how these structures scrutinised in structuring and shaping the minds of the general public concerning the Orang Asli community. Findings reveal the hidden ideology beneath the tactical use of rhetorical structures whereby the dominant and the elites are shown to be maintaining their power while the Orang Asli community are contrasted with perpetuated stereotypes and prejudice in various degrees. The study concludes that the community is commonly viewed through unconstructive themes such as being dependant and traditional, and this study strongly opposes the blatancy of media while at the same time, calls for a more neutral and subtle representation of the community.
RESEARCH ON THE ADVANTAGES OF USING NEW MEDIA TO SPREAD CHINESE MINORITY MUSIC
Authors: CUI YU MENG
Published: April 2024

With the rapid development of new media technology, Chinese minority music, which is a magnificent cultural wealth, is attracting more and more people's attention. This paper discusses the use of new media channels to give full play to the advantages of ethnic minority music transmission, and how to promote its wider inheritance and development through these channels. By analyzing different new media platforms and successful cases, the study reveals the potential of new media in promoting ethnic minority music. This paper also puts forward a series of practical strategies to protect and inherit minority music, including promoting cooperation and exchange, strengthening educational promotion and cross-border cooperation, aiming to enrich China's cultural diversity through diversified means of communication, and promote the protection of cultural heritage and cultural exchange. This study provides valuable theoretical and practical guidance for the dissemination and development of minority music in the context of new media.
SOCIAL TRANSFORMATION AND WOMEN EMPOWERMENT IN SHAHEEN AKHTARS’ THE SEARCH: A CRITIQUE
Authors: NITU NAFISA AHSAN , ALI HALIMAH MOHAMED
Published: April 2024

Currently, women are increasingly assuming the role of catalysts for social change. Nevertheless, this occurrence is infrequent in Bangladesh. In this society, women's empowerment is rarely observed due to its status as a developing country. However, sometimes, we cannot disregard the demeanor of a self-assured individual who illuminated society with their exceptional talents. ‘Mariam’ is a character featured in the novel The Search, written by Shaheen Akhtar. ‘Mariam’s tenacity instills in us the belief that an individual's resolve can transform their circumstances and environment. Emerging from the remnants, she rose as a phoenix. With this perspective in mind, the study aims to engage in a detailed analysis of ‘Mariam’, highlighting how she embodies women's empowerment and makes significant contributions to the advancement of women. Since this region was once a united continent, she also serves as a representative of South Asia. The Subcontinental Perspective of women's empowerment through ‘Mariam’ is illustrated by the similarities between different subcontinents' environments, customs, and lifestyles. The researcher utilizes Feminist theory to support the idea that she opposes all types of injustice against women despite the various social barriers she encounters. This study employs a qualitative approach and utilizes thematic analysis as its research method. The study demonstrates ‘Mariam’s ability to alter the prevalent attitudes of ‘Birangana’ (a war heroine) and regular women. This study examines the portrayal of a powerful female character crafted by a female writer from Bangladesh and explores how Feminist theory has influenced both the character's development and the novel's storyline, thereby establishing her as a noteworthy figure in the context of contemporary society. This study demonstrates women's empowerment and capacity for positive societal amendment.
AN INVESTIGATION OF TOURISTS SATISFACTION IN MAAYSIA CULTURAL MUSEUM: ENTRANCE SPACE EXPERIENCE
Authors: AB RAHMAN SYAKIR AMIR , ZAKIR MUHAMMAD IRHAM MOHMAD , ABDULLAH ALIAS , RAZAK RAJABI ABDUL , MAJID NOOR HANITA ABDUL , HARUN NORZALINA , ABU BAKAR AISYAH
Published: April 2024

Malaysia is known with its rich and diverse cultural heritage. Therefore, a number of cultural museums which display Malaysia’s multifarious history, traditions, and art forms has established. However, there is a decreasing trend of visitor visiting the cultural museum in Malaysia. This trend is highly influenced by the tourists’ experience gained during their visit to the museum. This study aims to study the tourist satisfaction in the entrance space of Malaysia cultural museum. This study analyses the data gathered from 381 respondents through a questionnaire survey. The statement in the survey represents different elements which are education, escape, aesthetic, and entertainment. The findings show that the aesthetic element is the most appreciated element by the respondents during the visit while escape element is the least appreciated element. Most of the respondents are in the younger group age, which is an age group that appreciates aesthetics the most while almost a third of the respondents went to the museum due to work, hence make the element of escape the least appreciated. From history, museum institutions have been evolving throughout the time as it is only known as a place called “Cabinets of Curiosities” in 1500s. The existing museum can start integrating itself with other attractions or providing more activities for the visitor to turn it into a more interesting and fun place for the visitor.
HOW TO DEAL WITH INSUFFICIENT SAMPLE SIZE DUE TO NON-RESPONSE IN SURVEYS?
Authors: TUMIRAN MOHD AMZARI
Published: April 2024

Surveys have become indispensable approach for gathering input from diverse people in several fields, including social research, marketing, healthcare, and public opinion polls. However, non-response in surveys is a complex issue that is impacted by a variety of factors. The aim of this study is to enhance approaches to dealing with insufficient sample size resulting from non-response in surveys. This study revealed that there are several approaches in dealing with insufficient sample size due to non-response in surveys, namely: (a) resizing the population by dividing into specific category; (b) ethical and practical constraints as justification; (c) using different sampling techniques in determining sample size; and (d) repositioning the sample of a pilot study and real study. Conclusively, the proposed approaches in this study for addressing non-response and insufficient sample sizes in surveys are anticipated to significantly influence novel methodologies in sampling techniques across a variety of populations. Additional investigation is required to assess the efficacy of several approaches in augmenting the rate of response, including reminders, follow-ups, monetary or non-monetary incentives, and utilisation of online platforms for responding.
THE INFLUENCE OF METACOGNITIVE SELF-REGULATION ON LEARNING STRATEGIES IN MANDARIN LEARNING
Authors: NEO YEE FENG , CHAN JIE YAN , GOH CHIN SHUANG , ZHANG AYISHA HUIQIN
Published: April 2024

Due to China’s rapid economic development, there has been an increased demand for Chinese language education in Malaysia. The utilization of appropriate language learning strategies plays a crucial role in ensuring successful learning outcomes. Therefore, the objective of this research is to investigate learners’ perception regarding their use of learning strategies in acquiring Mandarin as a foreign language. A quantitative survey was conducted among 148 students enrolled in an Introductory Mandarin course in a public university. The survey employed a 5 Likert-scale and consisted of four sessions which are demographic profile, cognitive components, metacognitive self-regulation and resource management. The collected data were analyzed using SPSS. The findings indicate that the resource management components “environment management” and “help-seeking” received a highest mean scores (M=4.14, 4.15), followed by the cognitive component “rehearsal” (M=4). Conversely, metacognitive self-regulation strategies had the lowest mean score (M=3.78). Furthermore, the research also reveals a strong positive correlation between metacognitive self-regulation, cognitive strategies and resource management strategies in foreign language learning. It is hoped that this study can provide insights for instructors to enhance their teaching approach to facilitate students' learning.
A JOURNEY INTO THE THRILLING DEPTHS OF CHEMISTRY THROUGH GAMIFICATION
Authors: OTHMAN MOHD IZANI , HUSIN NURUL IZZA , ABDULLAH AINNIE RAHAYU , BAKHARI NOR AZIYAH , MOHD ZIN AZRINAWATI , MOKHTAR MARINA
Published: April 2024

In the realm of Pre-Diploma in Science education, cultivating an engaging and interactive learning environment stands as a pivotal factor for student success. Acknowledging the centrality of science as a core subject, this study investigates the potential of gamification to enrich the learning experience and enhance scientific thinking skills among students. The primary objectives involve assessing the impact of CHEM-XPLORACE, a gamified science activity, on students' motivation and learning in the Chemistry subject. Specifically, the study aims to explore students' responses to the integration of gamification in science education. Data were collected from 70 Pre-Diploma in Science students at a branch of Universiti Teknologi MARA, employing a combination of observation and questionnaire survey. Through their participation in CHEM-XPLORACE activities, students' experiences, perceptions, and learning outcomes were systematically gathered and analyzed. The findings uncovered a positive correlation between the implementation of CHEM-XPLORACE and heightened student enjoyment and motivation in learning science, particularly Chemistry. Moreover, students reported an enhancement in their ability to retain scientific facts and knowledge, attributed to their engagement in the gamified activities. The observed increase in motivation and learning outcomes underscores the effectiveness of gamification in Chemistry teaching and learning. The incorporation of interactive and enjoyable elements in learning environments can contribute to a more positive attitude towards science, fostering a deeper understanding of the subject matter. The study recommends educators consider integrating gamification strategies to enhance science education in Pre-Diploma programs.
THE CHANGES ON THE TRADITIONAL BELIEFS OF THE BRUNEI MALAY COMMUNITY IN THE NORTH BORNEO (1881-1963)
Authors: JAMBOL DG JUNAIDAH , BASZLEY BEE BASRAH BEE , NURULASYIKIN HASSAN , NUR AUNI UGONG , ABDUL RAHMAN MAD ALI , MOHD WALIUDDIN MOHD RAZALI
Published: April 2024

Religion and traditional beliefs are important aspects of Brunei's Malay community's life. The influence of Islam on this community's traditional beliefs can be seen in almost every aspect of life, from birth to death. The expansion of Islam in North Borneo has altered not only the community's perception of superstitions but also their understanding of the application of true Islamic values in their everyday lives. The arrival of preachers in North Borneo changed the definition of the Bruneian Malay community's understanding and practice at the time. This paper will be discussed from two perspectives: the first is about the forms of practice and traditional beliefs of the Bruneian Malay community, and the second is about the influence of Islam on their traditional beliefs in North Borneo, especially on the west coast. This research will demonstrate that the influence of Islam brought by preachers has successfully changed the perspective and understanding of the Bruneian Malay community towards the guidelines and practices of true Islamic life. It is hoped that this study will be able to meet the objective of showing that, apart from political, economic, and social factors, aspects of religion and traditional beliefs also played a significant role in shaping the mentality and life pattern of the Bruneian Malay community after Sabah achieved independence.
STRESS MANAGEMENT FROM AN ISLAMIC PERSPECTIVE: A CONTENT ANALYSIS OF RECENT LITERATURE
Authors: BAHARUDDIN BATRISYIA HIDAYAH , TUMIRAN MOHD AMZARI , OPIR HAJAR
Published: April 2024

Stress management involves recognising and utilising efficient coping strategies to minimise the adverse effects of stress on a person's general health. Since stress is an unavoidable aspect of life that can affect a person’s physical and mental health, Islam offers several stress management practices to assist individuals in coping with stress. The objective of this study is to refine stress management from an Islamic perspective. This study utilised a methodical approach in content analysis to analyse and retrieve pertinent data from different sources. This study presents findings and examines their significance within the context of Islamic teachings and contemporary concerns. The significant points of the Islamic perspective regarding stress management are, namely: (a) wholehearted prayer; (b) gratitude and acceptance; (c) consistent and mindful self-care; (d) responsible and supportive social connections; (e) resisting anger and patience; (f) sincere and earnest fasting; and (g) reflection and remembrance hymns. Conclusively, stress management from an Islamic viewpoint is a diverse field of research that includes many methods for handling stress.
EXAMINE THE FACTORS INFLUENCING THE FIRM PERFORMANCE OF LOCAL TRAVEL COMPANIES IN MALAYSIA
Authors: BANDARA AJITH , WONG WAI WAH
Published: April 2024

Malaysia's travel sector is experiencing rapid growth after the COVID-19 pandemic and both domestic and international service providers are significant competitors in the current thriving market. This study investigates the elements that influence the firm performance of Malaysian local travel service providers. This study emphasizes impact of innovation, technology adoption, and core competency to the firm performance. Despite the considerable volume of scholarly research addressing this subject, the distinct and cumulative effects of technology, innovation, and core competency have not been sufficiently explored within the context of Malaysia. To fill this gap, this study rigorously explored technology adoption, innovation, and core competence, and how those factors influence to firm performance. This research applied a quantitative method, with data gathered via an online self-administrative survey. Survey questions were sent to 915 travel companies, and 219 responded. It was found that independent variables, innovation, technology adoption, and core competence have a positive effect on the performance of local travel enterprises. These critical success elements propel local travel companies to the top of the market, where they compete with other top international travel companies in providing online or offline services to customers. Thus, Local travel companies must set up the culture to generate innovative ideas, acquire latest technology, and continue training and upskilling program to achieve desire organization performance. The findings of this study will contribute to the Malaysian travel businesses, policymakers, and stakeholders involved in the tourist industry.
INFLUENCE OF DOCUMENTARY FILMS ON LEARNING CULTURAL AWARENESS AMONG UNIVERSITY STUDENTS IN UYO, NIGERIA
Authors: EYO NSINI
Published: April 2024

The study explores the influence of documentary films on learning, awareness, and cultural consciousness of undergraduate University students in Uyo Akwa Ibom State Nigeria. Documentaries, portraying real-life scenarios, serve to educate, inform, and entertain audiences. Six focus group discussions with undergraduate students at the University were conducted and interview questions were guided by review of literature and Priming Theory to facilitate discussions. Data from the focus group discussions were tape recoded, transcribed verbatim, coded, and thematically analyzed. Findings from the study revealed that students gain new knowledge, experience emotional arousal, and develop empathy through exposure to documentary films. Furthermore, documentaries serve as platforms for information dissemination, behavior shaping, and reinforcement of viewers' beliefs. Globalization and technological advancement have led to the wide spread of Western cultural values, while Nigerian indigenous cultural heritage faces decline, particularly among the youth. Documentaries emerge as essential tools for raising awareness and fostering cultural consciousness and countering the erosion of local traditions and values. On the premise of dominance of western culture, social polarization, and declining cultural values among youth, documentaries can help reignite interest in societal norms and help to preserve the culture and traditional heritage of the people in Akwa Ibom State.
KESAN GEMPA BUMI RANAU TAHUN 2015 TERHADAP RISIKO BANJIR DI KOTA BELUD MENGGUNAKAN GIS
Authors: EDMUND WEASLLY , EBOY OLIVER VALENTINE
Published: April 2024

Pada tahun 5 Jun 2015, Sabah digemparkan dengan kejadian gempa bumi sekuat 5.9 skala richter yang menyebabkan sebilangan nyawa terkorban dan hartabenda. Fenomena ini juga menyebabkan perubahan fizikal muka bumi yang mengakibatkan frekuensi banjir di Kota Belud semakin meningkat. Kesan daripada frekunsi banjir ini memberi kesan kepada sosio-ekonomi penduduk di daerah tersebut dari aspek pendapatan, perniagaan, trauma, infrastruktur perhubungan terjejas dan juga tempat tinggal penduduk itu sendiri yang menjadi mangsa kepada banjir ini. Kajian ini bertujuan untuk mengenalpasti impak frekunsi banjir ini kepada penduduk di daerah Kota Belud dengan mengedarkan borang soal selidik di samping melawat kawasan kampung yang selalu terjejas dengan banjir. Secara kesuluruhan Analisis data adalah menggunakan kaedah Spatial Analysis (Arcgis) untuk mengesan kampung yang pempunyai kesan sosio-ekonomi dan hasil analisis soal selidik akan digunakan untuk menyokong dapatan analsis GIS. Kertas ini dapat disimpulkan bahawa terdapat hubungan antara kejadian frekuensi banjir dan implikasinya kepada penduduk kampung-kampung di Kota Belud berkaitrapat. Situasi ini akan dapat memberi gambaran yang lebih luas walaupun impak sosio ekonomi penduduk ini tidak dapat dilihat secara mata kasar dari pelbagai pihak.
A REVIEW ON BANGLADESH-CHINA-INDIA-MYANMAR ECONOMIC CORRIDOR IN THE CONTEXT OF BANGLADESH’S INTEREST
Authors: HOQUE MD SELIMUL , AHAMED AKKAS , KHAN SAMIM REZA
Published: April 2024

Carrying out study on BCIM economic corridor is extremely important; because, Bangladesh is surrounded by India, Myanmar and China, where Bangladesh needs to maintain friendly relations with these three neighboring countries. China is rising rapidly in terms of socio-economic and political development in the South, Southeast and Northeast Asian region. China has the highest foreign currency reserves through which many countries of South, Southeast and Northeast Asia might be economically benefitted. Besides, India is a big country with huge population which might be a potential development partner of South and Southeast Asian countries. On the other hand, Myanmar has huge reserves of gas, oil and other mineral resources from which Bangladesh can be greatly benefitted. This study has found that the BCIM economic corridor is very significant for Bangladesh’s regional connectivity, people to people contacts, cultural exchanges, soft–power diplomacy and economic interests. This study has a geostrategic and development cooperation implication for the South Asian region. This study is an important policy paper for Bangladesh’s geopolitical and economic interests.
THE INCREASE OF CYBERCRIME AMIDST THE COVID-19 PANDEMIC: A SPOTLIGHT ON THE MOROCCAN CONTEXT
Authors: AIRAJ SOUMIA
Published: April 2024

Amid the COVID-19 outbreak, the entire world has been turned upside down. Daily practices such as work and education have shifted to the online and remote model at homes. This transition from in-person to online transactions has increased the prevalence of electronic crimes, commonly known as ‘cybercrimes’. These types of crimes are among the most significant types of crimes for the entire world and Morocco is no exception. Cyber-attackers have seized the opportunity of the pandemic to multiply their digital crimes and take advantage of individuals who were extremely frightened by the virus and bombarded with a significant amount of constant updates, including fake news, related to the Coronavirus outbreak. They have also exploited the increased use of people’s virtual communication particularly via social media platforms and the online vulnerabilities to target victims with low digital and media literacy. The current paper seeks to investigate the kinds of cybercrimes that have been committed online during the pandemic notably false promotion of products claiming to protect against COVID-19, online fraud operations, extortion, identity theft, threats, abuse, harassment, defamation, among others. Moreover, the researcher attempts to suggest proper ways to address these types of crimes and enhance cybersecurity that involve promoting digital literacy, implementing legal deterrence, and engaging multiple parties.
Afrontamiento de estrés y asertividad en transportistas urbanos
Authors: Zamora Guerrero Emily Nikita , Lara Salazar Cristina Mariela
Published: April 2024

Introducción: El afrontamiento de estrés y asertividad son capacidades esenciales en la vida del ser humano, pues permite que se desarrolle de manera adecuada en su entorno tanto personal como laboral, adicional, ayuda a mantener un equilibrio en cuanto emociones, pensamientos y decisiones.
Objetivo: Determinar la relación entre los estilos de afrontamiento de estrés y asertividad en trasportistas urbanos.
Métodos: La metodología que se utilizó fue descriptiva-correlacional, tuvo un enfoque cuantitativo y diseño no experimental con corte transversal en 98 transportistas urbanos de la ciudad de Ambato.
Resultados: Tras el análisis, se pudo deducir que los estilos de afrontamiento de estrés presentan una correlación negativa significativa entre cada uno de ellos con la asertividad y las puntuaciones totales.
Conclusiones: Se concluye que seis de siente estilos de afrontamiento tienen relación con la asertividad, lo que puede estar asociado a que mientras mayor estilos de afrontamiento tenga una persona presenta mayor asertividad.