39506 research outputs found
Sort by
Ecotourism potentials and sustainability challenges of Gua Gajah, Merapoh, Malaysia
Get PDFThe Pahang National Park in Malaysia is known for its impressive Mount Tahan. Gua Gajah is located in Sungai Relau National Park, Merapoh. Most tourists use the Sungai Relau trail to reach Mount Tahan in Pahang National Park for hiking and bird watching. Gua Gajah is named after the visits by elephants seeking shelter and leaving behind their droppings. The historical values, natural beauty, and rich biodiversity of Gua Gajah have made it a highly potential destination for ecotourism. This paper aims to explore the attractions of Gua Gajah and address the obstacles encountered in developing it into an ecotourism hotspot. This study adopted a qualitative approach, including document analysis, observation, and in-depth interviews. The total number of stakeholders is ten, consisting of two government officers, four community management council members, three nature guides, and one wildlife officer. This study's findings summarised that the main attraction of Gua Gajah is its natural resources of diverse flora and fauna. These valuable natural resources could become a tourist attraction and an essential livelihood source for the Merapoh villagers. The trail to Gua Gajah entails a guide leading visitors to a cave nestled amidst jungle surroundings. However, much of the trail winds through a forest, requiring further study and exploration. This study also highlighted the crucial role of the local community and the Department of Wildlife and National Parks Malaysia (PERHILITAN) cooperation in the success of this ecotourism site. These findings offer guidance for policymakers aiming to develop Gua Gajah, Pahang National Park, into an ecotourism spot that could cultivate the achievement of Sustainable Development Goals (SDG) 8 and 15. It is important to note that the findings are specific to Gua Gajah and may not apply to other ecotourism sites, each with its unique history and attractions
Prompt Engineering 101 for Educators
No full textIn the ever-evolving realm of higher education, the art and science of crafting questions—known as “prompt engineering”—is emerging as a cornerstone of effective teaching. Amidst debates about curricula, teaching methodologies, and technological interventions, the humble prompt stands out as a pivotal tool in shaping student thinking, engagement, and learning outcomes. The book, “Prompt Engineering 101 for Educators,” is not just a guide but a testament to the power of well-crafted questions. Here’s why it holds unparalleled relevance for today’s educators.
For educators, mastering the art of prompt engineering is akin to having a Swiss army knife of pedagogical tools. Whether it’s catalysing classroom discussions, assessing understanding, or pushing students to think beyond the textbook, the right prompt can be an educator’s most potentially. One of the key insights from the book is the diverse range of prompts available to educators. From closed to open, recall-based to inferential, and analytical to reflective, each type of prompt serves a unique purpose. By understanding and employing this diverse toolkit, educators can cater to the multifaceted nature of student learning. Every student comes with their individual strengths, challenges, and learning preferences. While one might thrive on analytical challenges, another might resonate more with reflective introspection. “Prompt Engineering 101 for Educators” empowers educators to cater to this diversity, crafting a learning experience that’s both inclusive and challenging for all
Motivational Intensity, Desire, and Attitudes : An Analysis of Pakistani Undergraduates’ Motivation to Learn English
Get PDFThis study examined the motivation of Pakistani undergraduates in learning English as a Second Language (ESL) through Gardner’s Socio-Educational Model (SEM), focusing on three components: motivational intensity, desire to learn, and attitudes toward learning English. A total of 381 undergraduates from three universities participated in the study by completing a 14-item questionnaire. Responses were rated on a five-point Likert scale and analyzed using descriptive statistics. The findings revealed a high overall level of motivation (M = 3.88, SD = 0.96). Learners demonstrated strong motivational intensity (M = 3.89), particularly in their intention to maximize English learning (M = 4.15). The desire to learn was the highest-scoring
subdomain (M = 3.92), with a strong preference for speaking (M = 4.53) and writing (M = 4.44) over listening (M = 3.35) and reading (M = 3.34). Learners’ attitudes toward English were also positive (M = 3.83), especially in terms of enjoyment of English (M = 4.33), but lower for classroom materials (M = 3.30) and future study (M = 3.47). These results suggest that
Pakistani undergraduates are highly motivated, especially toward productive skills, yet their motivation may be constrained by weaker attitudes toward resources and long-term engagement. The study contributes to the literature by applying SEM’s triadic structure in the Pakistani context and offers pedagogical recommendations for balancing skill development, updating learning materials, and supporting sustainable motivation in ESL learning
Impact of Green Media on Purchase Intention : The Moderating Role of Artificial Intelligence in Sustainable Marketing
Get PDFThis research examines how Green Media influences consumers' intentions to purchase environmentally friendly products, with a particular focus on the moderating effect of Artificial Intelligence (AI). A quantitative methodology was employed, gathering responses from 312 participants via an online survey. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings demonstrate a significant positive relationship between green media and purchase intention (β = 0.684, p < 0.001, R2 = 0.60), emphasizing the role of sustainability-oriented marketing in encouraging eco-conscious consumer behavior. Furthermore, the study reveals that AI significantly moderates this relationship (interaction effect β = 0.256, p < 0.001), suggesting that AI-powered green media campaigns by tailoring content to individual preferences, are more effective than traditional marketing approaches. These insights offer practical guidance for organizations aiming to integrate AI into their sustainability communication strategies. Nonetheless, the study is limited by its cross- sectional design and geographic scope. Future research should consider longitudinal approaches, cross-cultural comparisons, and the evolving capabilities of AI in green marketing. Overall, embedding AI in eco-marketing initiatives holds substantial promise for promoting sustainable consumption, enhancing brand credibility, and supporting long-term organizational goals.
KEYWORDS: Green media, Purchase intention, Artificial Intelligence, Green marketing, Sustainable consumptio
Mahir Seni Khat, seni kaligrafi mengikut pengkaedahan jawi
Get PDFBuku ini dirangka sbg latihan pengukuhan kpd seni kalingrafi yg diajar di peringkat sekolah.Buku ini dipersembahkan dlm bentuk tulisan jawi berdasarkan pengkaedahan jawi baharu.Kombinasi antara seni kalingrafi dgn pengkaedahan jawi baharu perlu dijalin supaya nilai seni lebih menyerlah dan kefahaman tentang ejaan jawi yg betul dapat diperkukuh.Contoh dan latihan yg disediakan juga sesuai dijadikan bahan rangsangan yg menarik serta berkesan
Business Resilience During Crises : A Comparative Study Between Pn17 And 50 Ftse Bursa Malaysia KLCI Constituent Companies
No full textThis was an event study that employed a non-parametric analysis using STATA. Data from 50 companies listed under Bursa Malaysia (BM), which consist of 21 companies classified under PN17 and 36 companies from the
constituents top 50 FTSE at BM, Using the Altman Z-Score, PN17 and T50FTSE companies were clustered under safe, grey, and distress zones. Besides, the study also aimed to
examine the roles of a robust risk management system in managing a crisis among PN17 and the top 50 FTSE companies. The survey results revealed the significance of having an integrated and unified risk management for every company to ensure business continuity and resist crises. The study
exposed the likelihood of managers manipulating the earnings figure during the pandemic and the significant positive relationship between the Operational Resiliency Framework (ORF) and Altman’s Z-Score. A less robust risk management system makes a corporation more likely to fall into the distress zone category
Pekeliling Pentadbiran Bil. 13 Tahun 2025: Pemakluman Pemakaian Garis Panduan Tadbir Urus Institut dan Pusat Penyelidikan di Universiti Malaysia Sarawak
Get PDFA Volatility-Responsive LSTM Approach for Predicting KLCI Closing Prices Using Dynamic Optimizer Switching
Get PDFIn financial time series forecasting, the ability of models to adapt to changing market conditions is critical for improving prediction accuracy. This study explores a novel approach to optimizing Long Short-Term Memory (LSTM) models by dynamically adjusting optimizers based on market volatility, specifically using the Average True Range (ATR) as a volatility indicator. Traditional optimizers like Adaptive Moment Estimation (Adam), Root Mean Squared Propagation (RMSprop), and Stochastic Gradient Descent (SGD) each offer distinct advantages under different market conditions; however, their effectiveness is limited when applied uniformly throughout the training process. To address this limitation, a dynamic optimization strategy was proposed, that switches between optimizers during the training process based on ATR values, enhancing the model’s adaptability. This method was applied to predict the Kuala Lumpur Composite Index (KLCI) closing prices, showing improved prediction performance over conventional models that rely on a single optimizer. This adaptive approach offers a robust solution for stock index prediction in volatile markets, contributing to the broader field of financial forecasting through the integration of volatility-driven learning techniques
SAR Distribution with Different Water Bolus Shapes for Hyperthermia Breast Cancer Treatment
Get PDFHyperthermia is an alternative treatment for breast cancer and involves a high temperature of 41℃ to 45℃ to heat malignant tissues into necrotic tissues. A 915MHz and 2450MHz rectangular microstrip patch inset feed line antenna is designed with SEMCAD X 14.8.4 software simulator. The non-invasive antenna is used in the hyperthermia treatment to destroy the malignant tissues. However, hyperthermia creates unwanted hotspots and causes skin burn problems. Therefore, a water bolus is designed with several shapes coupled with an antenna to cool the treated areas. In this research, the hyperthermia treatment is applied to the three different sizes of malignant tissues labelled as T1, T2 and T3 with diameters of 15mm, 34mm and 59mm respectively. The sizes are based on the data from the mammogram image analysis received from the hospital. The observation is made for the antenna with and without water bolus. A deionized and distilled water bolus is designed with rectangular, circular and sphere shapes and integrated with the antenna. The applicator’s performance is analysed. The simulation results show that the water bolus helps to reduce unwanted hotspots, increase the focus position distance and is able to control delivered heat more uniformly to surrounding malignant tissues. The sphere shape shows better SAR performance than circular and rectangular. Moreover, the procedure can be done in a much shorter time using a sphere shape than two other shapes
Infectious Disease Risk Assessment using Different Enhanced-FMEA Approaches
Get PDFThree years before, the global spread of COVID-19, originating in China, rapidly impacted numerous countries, causing a surge in cases and fatalities. Governments
worldwide encountered significant challenges not only in healthcare but also across various sectors. As an alternative to reducing the spread of COVID-19, many
researchers implemented the Failure Mode and Effect Analysis (FMEA) method to mitigate the associated transmission risks in specific settings. However, this method did not thoroughly examine the process of assigning importance weights and expert judgments to the risk factors, potentially limiting the comprehensive outcome of the
risk assessment. This paper discusses the comparison between FMEA, fuzzy-based FMEA, and FMEA-based fuzzy TOPSIS to assess their effectiveness in handling infectious diseases. The longhouse at Pasai Siong, Sarawak, was chosen as a case study due to being one of the most significant clusters during the pandemic in Sarawak. The study's findings suggest that all risk assessment methods unanimously identify the
living room (F 3.1) as the most critical area with the highest transmission potential, emphasizing the necessity of prioritizing this area. However, slight variations in
rankings across methods were observed due to the distinct approaches taken by each assessment method