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    An Evaluation of Asset Pricing Models Based on Chinese Stock Market

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    Chinese stock market has been growing at a rapid rate since the establishment, and has become the second worldly largest stock market. This study aims to provide a better understanding of the applicability and explanatory power of the Fama-French three-factor model and the Fama-French five-factor model in Chinese stock market. In order to achieve this objective, these two asset pricing models are examined and compared on the basis of Chinese A-share stocks during the period of 01/2010 to 12/2017. Annual financial data and monthly stock market data of A-share listed companies are used. Empirical evidence in this study shows that the Fama-French five-factor model performs better than the Fama-French three-factor model, although it still cannot fully describe the average returns in Chinese stock market. In addition, the factor spanning test suggest that the size factor, the value factor and the profitability factor are robust, in contrast to the weak market effect and investment effect in Chinese stock market. This study also compares the factors constructed by different methods, i.e. the 2×3 method, the 2×2 method as well as the 2×2×2×2 method; the result shows that the 2×2×2×2 factors produce a slightly better description than the other two versions of factors

    Evaluating cognate effects in bidirectional translation and form-meaning recognition among Malay and Chinese ESL learners

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    Research in second language acquisition has consistently demonstrated the importance of vocabulary knowledge in language learning (e.g., González-Fernández & Schmitt, 2017; Milton, 2013; Nation, 2001; Rose et al., 2020; Staehr, 2008; Trenkic & Warmington, 2019). How this can be made more manageable for learners still requires attention. This is especially relevant for bi- and multilinguals, who possess linguistic resources in their first language that could potentially facilitate vocabulary learning in an additional language (e.g., García et al., 2020; Urdaniz & Skoufaki, 2019; Vidal, 2011). Cognates (i.e., words that share similar form and meaning across languages) represent a lexical resource that can facilitate learning through cross-linguistic similarities (e.g., Cenoz et al., 2022; Engemann et al., 2024; Puimège & Peters, 2019; Szabo, 2020). Despite this potential, research remains limited on how cognates are recognised and translated in underresearched language pairs such as English and Malaysian vernaculars. In addition, findings on the effectiveness of explicit instruction on cognates have been inconclusive, raising questions about whether cross-linguistic similarity alone is sufficient or whether learners benefit from targeted training to fully exploit this resource. This thesis sets out to address this gap by quantifying the proportion of cognates, examining their use in translation, and investigating the extent to which they are recognised by Malaysian ESL learners. A cognate list was developed for English-Malay and EnglishChinese language pairs in Studies 1 and 3 respectively, identifying cognates, false cognates and non-cognates within the 10,000 most frequent English word families (BNC/COCA; Nation, 2012). The analyses revealed a higher proportion of English-Malay cognates (approximately 26%) compared to false cognates (approximately 1%). While EnglishChinese cognates (approximately 2.1%) were less prevalent, these still outnumbered false his thesis sets out to address this gap by quantifying the proportion of cognates, examining their use in translation, and investigating the extent to which they are recognised by Malaysian ESL learners. A cognate list was developed for English-Malay and EnglishChinese language pairs in Studies 1 and 3 respectively, identifying cognates, false cognates and non-cognates within the 10,000 most frequent English word families (BNC/COCA; Nation, 2012). The analyses revealed a higher proportion of English-Malay cognates (approximately 26%) compared to false cognates (approximately 1%). While EnglishChinese cognates (approximately 2.1%) were less prevalent, these still outnumbered false. Although cognates can be identified through formal criteria and dictionary definitions, it remains uncertain whether Malaysian ESL learners perceive and process the identified cognates as such. To examine whether these cognates are known and used by learners, two bidirectional translation tasks were conducted with Malay-English bilinguals (N = 52) in Study 2 and Chinese-English bilinguals (N = 50) in Study 4. Participants completed a forward and backward translation task with 400 Malay words and 170 Chinese words respectively, which controlled for cognateness, word frequency, and word length. The results indicated that English-Malay cognates were translated more accurately than non-cognates in both translation directions, whereas the cognate advantage in translation accuracy for ChineseEnglish pair was detected only in the backward translation direction. Multiple regression analyses across these translation directions confirmed that cognateness and word frequency were significant predictors of translation accuracy, with cognateness explaining additional variance for both language pairs. Furthermore, there was a consistent tendency for participants to produce cognates as translation equivalents in both directions and across language pairs. These findings confirm prior studies that cognates are generally processed more easily than non-cognates in translation tasks (e.g., Jacobs et al., 2016; Lijewska, 2020; Lijewska & Błaszkowska, 2021; Zheng et al., 2024) and also expand current knowledge within the Malaysian context. While previous studies have acknowledged the potential of cognates in supporting vocabulary learning (e.g., Bosch & Ramon-Casas, 2014; Mitchell et al., 2024; Peters & Webb, 2018), they have often relied on assumed or dictionary-identified cognates without validating whether learners actually process them as such. The findings from Studies 2 and 4 address this gap by providing initial empirical support that learners do recognise and produce many of the identified cognates. While some studies suggest that learners are able to recognise cognates automatically due to their form and meaning overlap (Molnár, 2010; Szabo, 2016; 2018), others argue that explicit instruction is necessary for learners to be aware of cognates, especially when the form and meaning overlap is partial (e.g., Aguinaga Echeverría, 2017; Frances et al., 2021; Otwinowska, 2016). This raises question as to whether Malaysian ESL learners notice the cross-linguistic similarities in cognates automatically, or is explicit instruction required to help them recognise and utilise these connections. Building on the findings of Studies 2 and 4, Study 5 employed a cognate form-meaning recognition study with a pre-post-test quasiexperimental design to assess whether L1 Malay and L1 Chinese ESL learners recognise cognates more accurately than non-cognates, and the extent to which explicit instruction can improve their ability to identify and utilise these similarities. Ninety L1 Malay and 112 L1 Chinese ESL secondary school students were assigned to either an experimental group (with explicit instruction provided) or a control group and completed a pre-test and a post-test. The results indicated that while explicit instruction significantly improved cognate awareness, no significant differences in the post-test performance were observed between the experimental and control groups. Across both language groups, participants recognised cognates more accurately than non-cognates. Generalised mixed-effects modelling showed that cognateness, word frequency, and English language proficiency were significant predictors of cognate recognition, underscoring the importance of both word frequency and cognateness in vocabulary processing. This confirms previous studies that cross-linguistic similarity supports vocabulary recognition and cognate recognition may occur automatically (e.g., de Vos et al., 2019; Molnár, 2010; Szabo, 2018; Puimège & Peters, 2019), although the benefits of explicit instruction may be limited to raising awareness rather than measurable improvements in recognition performance. Overall, this thesis introduces a novel English-Malay-Chinese cognate list to systematically identify lexical similarities across these language pairs based on both form and meaning. Serving as a foundation for subsequent empirical investigations, it offers a systematic basis for examining cross-linguistic similarities in bi-/multilingual contexts, enabling empirical exploration of how learners draw on their linguistic resources when processing and learning L2 vocabulary. This thesis presents original empirical evidence of the cognate facilitation effect in an understudied population, demonstrating the consistent facilitative role of cross-linguistic similarity in both translation and recognition tasks. It further shows that cognateness, word frequency, and language proficiency significantly predict vocabulary performance across tasks. These findings extend existing empirical research while also offering theoretical insights into models of bilingual lexical processing. The cognate list serves both as a research tool for further investigation into cross-linguistic transfer in the bi- and multilingual contexts, and as a pedagogic resource. From the pedagogical perspective, the findings highlight the potential of leveraging cognates and the value of integrating cognate awareness training to support vocabulary development and inform the design of language assessments, curricula, and instructional materials

    Perception of sexual harassment: the influence of sex and physical attractiveness

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    The present study explored the extent to which the sex and attractiveness of the harasser, as well as the sex of the participant, influence perceptions of sexual harassment. Previous research has shown that women are generally more attuned to recognising sexual harassment and are more likely than men to classify certain behaviours as inappropriate. A total of 146 participants completed a structured questionnaire, a vignette-based scenario, and the Sociosexual Orientation Inventory-Revised (SOI-R). The findings revealed that the sex of the harasser significantly impacted participants’ perceptions of sexual harassment. In contrast, neither the attractiveness of the harasser nor the sex of the participant demonstrated statistically significant effects. The study concludes with a discussion of its methodological limitations and implications for future research in the field

    Supply chain finance, financing constraints and financial performance of SMEs in China

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    This thesis examines whether supply chain finance (SCF) alleviates financing constraints and improves financial performance among Chinese small and medium-sized enterprises (SMEs), using listed firms on the National Equities Exchange and Quotations (NEEQ) as an empirically tractable and policy-relevant SME segment. Grounded in a credit-risk perspective, the thesis argues that SCF can ease SMEs’ financing constraints by improving the verifiability of underlying transactions and strengthening credit support within supply-chain relationships, thereby enhancing liquidity access and reducing external financing costs. Using firm-year panel data for NEEQ-listed SMEs over year 2016–2022, the study employs two -way fixed-effects panel regressions with rigorous robustness checks and endogeneity diagnostics. Across specifications, the results provide consistent evidence that stronger SCF engagement is associated with a meaningful reduction in SMEs’ financing constraints and an improvement in financial performance. Heterogeneity analyses further indicate that the constraint-relief effect is particularly evident in the tertiary sector, and it becomes more pronounced during the COVID-19 outbreak period. Performance improvements are stronger among non-state-owned firms and appear more substantial before the pandemic. The thesis further shows that digital financial inclusion and firm-level digital transformation strengthen SCF’s financing-constraint-relief effect, while corporate sustainability development exhibits a weaker and less robust moderating role in this channel. For financial performance, digital transformation and sustainability development play more salient moderating roles, whereas the contribution of digital financial inclusion is more period-dependent. Overall, this thesis contributes to the SCF and SME finance literature by offering a credit-risk perspective on SCF effectiveness, providing large-sample evidence from China’s NEEQ market, and clarifying how digital and sustainability capabilities condition SCF’s real effects. Policy implications highlight the importance of strengthening anchor-firm participation, digital infrastructure and data governance, and targeted SCF support for financially constrained SMEs

    Development of a mesh-less algorithm for modelling Fluid Structure Interaction (FSI) problems involving free surface and material fracture

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    Water hazards, such as floods (including all types, e.g., tsunamis), are among the most frequent natural disasters that cause significant damage to infrastructure. The multi-physics nature of the occurrence has made it a challenge to develop a realistic numerical model for simulating the phenomena in flood. The flood phenomena typically involve highly deformed free surface flow and complex interaction with composite structures such as those constructed from concrete and reinforced concrete (RC). It could be challenging to apply conventional mesh-based methods in those scenarios. The objective of this thesis is therefore to develop a numerical model that could capture the actual physics such as free-surface flow, solid-solid contact and structural failure by utilizing meshless numerical tools, with application to simulating structural failure during water hazards. The meshless methods considered are smoothed particle hydrodynamics (SPH) and lattice particle method (LPM) (also known as volume compensated particle method (VCPM)) where SPH is used to describe fluid flow while LPM/VCPM is used for solid model. The two methods are coupled and implemented in a highly optimized open-source SPH code, DualSPHysics. In the first part of the thesis, the LPM structural solver is extended to model composite structures, and the coupled SPH-LPM solver is applied to simulate FSI cases involving composite body and free surface. The LPM composite model is modelled in two ways, first by considering the direction-dependent material symmetry and second, by explicitly representing the constituent materials in structures like laminated composite with clear material interface(s). A force averaging approach is proposed and verified to model the material interface with varying Young’s modulus ratio across it. The practicability and accuracy of the solver without the presence of fracture in structure is demonstrated through various FSI test cases. Next, the LPM method is coupled with a local isotropic damage model to simulate quasi-brittle fracture. A calibration procedure conducted through mode I fracture test is described to estimate the characteristic length scale in the damage model for the respective lattice structures adopted. The calibrated length scales are then used in all the following test cases. Exhaustive validations against experimental results in terms of crack path and structural response are carried out. Positive outcomes, in line with the experimental findings, have been obtained for the problems investigated which cover mode I and complex mixed mode fractures. With particle refinement, convergence of simulated crack path and structural response are obtained. In the final part of the thesis, the LPM model is further developed to model the failure of reinforced concrete structures. The predictive capability and generality of the proposed LPM model is assessed against experimental results covering a wide range of failure modes seen in RC beams. Key features of the flexural and shear failure in RC beams are captured by the model. Then, the coupled SPH-LPM method is applied to simulate several FSI test cases with solid fractures. The capability of the current method in tackling complex, real-world FSI cases with structural failure is demonstrated through the test case of failure of plain and reinforced concrete wall due to tsunami-type wave

    Individual differences in contextual effects on interpreting facial expressions

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    Classification of facial expressions involves interpreting both the face and the context in which the face appears. Generally, it is believed that cues from the context influence the classification of facial expressions because the context shifts viewers’ perception of the face. However, we questioned the validity of this conclusion due to methodological limitations of past studies leading to it. Therefore, the first aim of this thesis was to examine whether contextual cues indeed shifted viewers’ perception of facial expressions. We carefully examined this using a recently developed psychophysical method that aims to isolate the contribution of perceptual processes to viewers’ behavioural responses about facial expressions. Second, we highlight that there is a considerable amount of variability in the extent to which different individuals experience the effect of context on classification of facial expressions. Accordingly, in this thesis, we also conducted a series of experiments to identify the source of such individual differences. In Chapters 2 and 3, we show that changes in classification of facial expressions that result from contextual cues (body gestures in our case) is not due to changes in the perception of the face. Accordingly, we claim that contextual effects on classification are the product of changes in post-perceptual (e.g., decisional) processes contributing to classification. In Chapter 3, we also demonstrate that both perception and classification of facial expressions shift in the direction of the emotion conveyed by the context, although the two effects appear to be independent of each other. The size of these shifts increased with greater disparity in emotion between how viewers perceive/classify isolated facial expressions and the emotion signalled by the context. We replicated this relationship for the classification of facial expressions in Chapters 4 and 5 as well, with large effect sizes. Based on this recurring effect, we claim that individual differences in how facial expressions (alone) are interpreted is a crucial determinant of individuals’ susceptibility to the influence of contextual cues. In Chapters 2 to 5, we also explored various other individual differences. We find that individual differences in the severity of clinical traits (autism, depression, alexithymia and anxiety), thinking styles (holistic and analytical), self-construals (independent and interdependent) and the deployment of overt attention between the face and context, do not account for the variability in the level of contextual effects experienced by our participants. Although we found in Chapter 4 that culture seems to play a role, with Western British participants experiencing larger contextual effects than Asians. We believe this was a result of Western participants’ greater familiarity with Caucasian faces and body gestures that we used as stimuli. Drawing on our findings, we propose a novel “seeds and conflict theory”, wherein the degree of conflict between an individuals’ subjective evaluation of the target facial expression and the representation of an expression activated by a context (i.e., primed) drives the strength of contextual influence. Accordingly, while existing theories of contextual effects (e.g., emotion seeds hypothesis) cannot explain some of our findings, in Chapter 6, we provide a critical evaluation of theories and show that our seeds and conflict theory can account for our findings across all empirical Chapters (2-5), as well as findings from previous studies in the literature

    Numerical analysis of swirl decay dynamics and heat transfer performance enhancement in double-pipe heat exchanger systems

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    Heat transfer enhancement in double-pipe heat exchangers remains critical for industrial energy efficiency, yet swirl flow decay—a phenomenon where rotational momentum diminishes axially—presents a key challenge in maintaining optimal thermal performance. This study investigates swirl decay dynamics and its implications for heat transfer in annular flows using three-dimensional computational fluid dynamics (CFD) simulations in ANSYS Fluent, employing k-ε RNG-swirl modified turbulence model and finite volume discretization. The swirl decay was induced by inlet annular swirlers with vane angles of 30º, 45º and 60º. Three objectives guide the work: (1) quantifying the impact of decaying swirl on annular heat transfer, (2) developing a universal model correlating swirl number decay rate with friction factor under heated/unheated conditions, and (3) assessing the thermal benefits of sustaining a minimum swirl intensity. Simulations reveal that axial and tangential velocity profiles exhibit a radial outward bias (shift away from the inner pipe), amplified by larger swirl angles but reduced by higher Reynolds numbers. Swirl decay induces oscillating velocity peaks, particularly in regions of weakened rotational momentum, while thermal effects in heated flows accelerate decay and alter recirculation zones, notably extending the central vortex beyond the swirler. Local Nusselt number peaks near the swirler exit, attributed to thermal boundary layer thinning, inform a novel correlation linking swirl decay rate (quantified via the swirl number, a dimensionless measure of rotational momentum) to friction factor, valid across both adiabatic and heated cases. To enable practical design, the Decay Percentage, a new parameter defining allowable swirl loss over the exchanger length, is introduced, facilitating optimised configurations that balance compactness (2%–69% size reduction) and efficiency (139%–242% heat transfer gain). These findings advance passive enhancement strategies for heat exchangers in energy systems, offering a framework for performance tuning through controlled swirl decay

    Transitioning to university life: experiences of students with heavy study investment

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    The transition from secondary school to university remains a challenging period for many students, despite the widespread implementation of interventions such as time management training and bridging courses in core subjects (Bashaar et al., 2019; Terpstra-Tong & Ahmad, 2018). While these measures aim to help students manage academic demands, a one-size-fits-all approach often fails to account for the diverse motivations and experiences of different learner groups (Gašević et al., 2016; Rear, 2019). This thesis focuses on a specific subset of students undergoing this transition—those with a heavy study investment (HSI), i.e. those dedicating significant time and effort to their academic pursuits. According to Loscalzo and Giannini (2019), HSI may manifest as either maladaptive compulsive studyholism or as enthusiastic and dedicated study engagement. Given HSI’s strong academic commitment, this group may be overlooked in research and support initiatives, raising concerns about this issue being a silent problem. Students with a heavy study investment (HSI) may find conventional academic interventions, such as additional time management strategies and courseload increases, ineffective or even detrimental to their well-being (Huang, 2020; Whitelock et al., 2015). Overstudying has been linked to negative outcomes, including higher dropout rates (Loscalzo, 2021), social impairment (Loscalzo & Giannini, 2022), social anxiety (Lawendowski et al., 2019), lower test scores (Loscalzo & Giannini, 2020), and exam stress (Atroszko et al., 2019). Drawing on the multidimensional adaptation to university framework (Baker & Siryk, 1984), the study demands-resources model (Lesener et al., 2020; Schaufeli & Bakker, 2004) and the heavy study investment model (Loscalzo & Giannini, 2019), this research project investigates the experiences of students transitioning to university with a heavy study investment through three empirical studies. Using an exploratory multi-methods design, the research first explores students’ behavioural patterns, motivations, study demands, and coping strategies through two stages of in-depth interviews. The findings from these two qualitative studies then inform a subsequent quantitative survey study, designed to test and validate key insights. The first study used interpretive phenomenological analysis (IPA; Smith & Nizza, 2022) to explore the experiences and motivations of 13 students transitioning with different forms of heavy study investment. Findings revealed that students with high studyholism scores reported negative emotions, restlessness during non-study time, and limited support networks, relying more on external motivation. In contrast, students with high study engagement scores exhibited more positive emotions, stronger internal motivation, and broader support systems. The second study, based on a second round of interviews, examined study demands and coping strategies. Using IPA, it identified emotional, academic, and social demands, as well as seven distinct coping strategies employed by students. Findings showed that all participants encountered significant challenges, with variations in adaptive and maladaptive coping approaches. The third study tested key findings from the first two studies through a survey of 336 students transitioning to university. Results indicated that studyholism and study engagement acted as mediators in the relationship between emotional study demands and several dimensions of university adaptation, further clarifying their distinct roles in the transition process. This research responds to Loscalzo and Giannini’s (2022) call for a qualitative exploration of the relatively recent heavy study investment model, offering deeper theoretical insights into studyholism and study engagement. The findings highlight the role of self-set goals in fostering more adaptive forms of heavy study investment, in contrast to externally imposed goals, such as those driven by competition—an interpretation grounded in goal-setting theory (Locke & Latham, 2002, 2006). Additionally, the research contributes to theorising how study engagement enhances coping, suggesting that positive emotions may facilitate new ways of thinking that encourage students to diversify their coping strategies, aligning with the broaden-and-build theory (Fredrickson, 2004). On a practical level, the study offers recommendations for institutional initiatives and enhanced lecturer support to better assist students during the transition to university. Finally, the thesis details a campus-wide initiative developed in response to the research findings, aimed at raising awareness and providing resources for students with a heavy study investment

    Two-dimensional vortex quantum droplets in Bose-Einstein condensates

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    Bose-Einstein condensation(BEC) has been a research hotspot in cold atom physics for the past few decades. Recently, experiments on BECs have reported the observation of liquid-like quantum droplets, attracting significant interest. The physics for forming quantum droplets can be explained by zero-point quantum fluctuation which effectively prohibit the collapse caused by the mean-field interactions between the atoms. The stabilization mechanism beyond the mean-field theory, induced by quantum fluctuations, can be described by the Lee–Huang–Yang(LHY) correction. Normally, forming stable 2D or 3D solitons in free space is a challenging problem. Additionally, an intriguing question is how to generate 2D or 3D solitons with embedded vorticity. The LHY stability mechanism offers a new approach to producing stable solitons and vortex solitons in BECs. In this thesis, two-dimensional vortex quantum droplets in Bose-Einstein condensates, including those with and without external potential, are examined. The study of solitons and vortex solitons in BECs under mean-field interactions and external potential has yielded significant results. This thesis expands this field by introducing the LHY correction to study stable quantum droplets and vortex droplets in BECs. The work chapters begin with studying binary quantum droplets in free space, considering the case where interspecies interactions are weakly attractive and intraspecies interactions are weakly repulsive. The zero-vorticity, semi-vortex, and binary vortex quantum droplets are studied in Chapter 3. Stable semi-vortex quantum droplets with embedded vorticity up to 8 are found in this system. This result gives a way to form stable vortex droplets with high topological charges in free space by controlling one component with zero vorticity and the other component with embedded vorticity. The stability and properties of these droplets are systematically studied. Chapter 4 explores the vortex quantum droplets and hidden vortex droplets confined within a radial lattice trap. It is found that the existence curves of the droplets confined within this optical trap could violate the Vakhitov-Kolokolov(VK) criterion, which is a necessary condition to form a stable soliton. A remarkable finding is that the vortex and hidden vortex quantum droplets in this radial lattice remain stable when they carry the embedded vorticity up to 11. The double-ring vortex and hidden vortex quantum droplets confined within this radial lattice are also discussed. The work expands from non-magnetic atoms to magnetic atoms in Chapter 5, which needs to consider the dipole-dipole interactions(DDIs). The anisotropic dipolar vortex quantum droplets trapped in an annular potential are studied. Under the effect of the ring shape potential, the double peak ring-shaped vortex droplets remain stable when they carry the embedded vorticity up to 11. It is the first time stable droplets with high topological charges have been formed in a dipolar system. Additionally, the shape transformation of dipolar vortex droplets induced by the strength of the mean-field interaction is examined. Finally, the behavior of dipolar vortex droplets confined within a weak-depth annular potential is also discussed. The results of this thesis may prove highly useful in creating stable vortex quantum droplets in Bose-Einstein condensates and advancing the broader field of ultracold atoms

    An assessment of Asian elephant population status in the main forest complexes of northern Peninsular Malaysia

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    The Asian elephant (Elephas maximus) is recognised for its important ecological role in maintaining the health of forest ecosystems as well as its cultural importance in many countries. Various causes, including habitat loss and fragmentation, human-elephant conflicts, and inadequate comprehension of their population dynamics, have been identified as threats to their existence and obstacles to conservation initiatives. Malaysia has the potential to protect this endangered species, but effective conservation requires a comprehensive understanding of its population and environment. This study focuses on the forest complexes in the northern region of Peninsular Malaysia that are known to be habitats for elephants. This study aims to provide scientific evidence to support the national elephant conservation action plan, with three main objectives: i) population density estimates; ii) habitat use prediction; and iii) population viability assessment in four main forest complexes across northern Peninsular Malaysia. The mean density estimate for wild elephants in the Greater Ulu Muda Forest Complex (GUMFC) is 0.17 elephants per km2 (CI 95%, 0.11-0.25), and the population size ranges from 185 to 420 elephants in an area of 1,629.31 km2. The findings highlight the significance of GUMFC as a vital landscape that supports the elephant population in the north. Habitats use predictions for three forest complexes (i.e., Gunung Inas-Bintang Hijau Forest Complex (GIBHFC), Royal Belum State Park (RBSP), and Temengor Forest Complex (TFC) proved that almost all areas in these forest complexes are suitable for elephants, but with a different degree of suitability. The ‘elevation’ and ‘distance to plantations’ showed a negative correlation with elephant habitat utilisation. Distance to the settlement was negatively associated with elephant habitat use in a quadratic manner. Finally, the population viability analysis conducted for the elephant population in GUMFC based on 52 scenarios revealed that it is at risk of extinction, mainly due to changes in carrying capacity (due to forest cover) and the removal of elephants from the landscape. This study emphasises the importance of elephant conservation initiatives to prioritise the preservation and conservation of elephants’ natural habitats, and develop effective human-elephant conflict management strategies, to ensure the viability of elephants in Peninsular Malaysia

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