103790 research outputs found
Sort by
Translator behaviour criticism and Chinese folk language translation: a case study of Bronze and Sunflower
No full textThe translation of the Chinese folk language plays a vital role in preserving cultural authenticity and shaping the distinctive style of Chinese children’s literature. This study employs Zhou Lingshun’s theory of Translator Behaviour Criticism to examine Helen Wang’s English translation of Cao Wenxuan’s Bronze and Sunflower (2015/2005), with a specific focus on the translation of folk language elements such as dialects, colloquialisms, idioms, and set phrases. By focusing on translating dialect words and idiomatic expressions, this research examines how the English version reconstructs the original’s stylistic features, including its emotional depth, cultural context, and aesthetic tendencies. The findings reveal notable challenges in representing dialects, encapsulating local cultural nuances and conveying character identity and emotional tone. While some of Helen Wang’s translations achieve functional equivalence, others dilute the authenticity of the source text by opting for standard English or omitting culturally loaded terms. Similarly, the translation of idiomatic expressions, integral to the narrative’s humour and local flavour, often needs help to balance literal meaning with the expressive and aesthetic functions of the original. This results in the loss of natural simplicity and vibrancy inherent in the folk language. This study proposes that in translating folk language for children’s literature, translators should strive to balance fidelity to the original’s folk characteristics (“seeking truth”) with the practical needs of target readers (“seeking utility”). Such an approach ensures cultural authenticity while meeting the reading expectations of child audiences, ultimately creating translations that effectively convey the richness of the original work
Unveiling the impact of service attributes and review scores on sentiment: a deep learning and feature engineering approach to UberEats reviews
No full textThis study investigates the impact of SERVQUAL dimensions (Assurance, Reliability, Tangibles, Empathy, and Responsiveness) and review scores on customer sentiment. We analyze a large dataset of 920,407 UberEats reviews from the Google Play Store, classifying sentiment based on star ratings and using a Long Short-Term Memory (LSTM) model to predict sentiment from review content. Using text mining and sentiment analysis, the study employs robust feature engineering techniques to extract and quantify SERVQUAL components from customer reviews. The LSTM model demonstrated high accuracy (89.64%) in predicting sentiment, validating the alignment between predicted and assigned sentiments. Our analysis reveals that all SERVQUAL dimensions and review scores have a positive and significant impact on overall sentiment. Specifically, the Ordinary Least Squares (OLS) regression results highlight Empathy as the most influential SERVQUAL component, followed by Responsiveness, Reliability, Tangibles, and Assurance. Furthermore, review score emerged as the strongest predictor of customer sentiment. These findings provide actionable insights for service providers aiming to enhance customer satisfaction by optimizing key SERVQUAL dimensions and addressing review score trends
Applying AI in libraries to support agricultural research case of Malaysia, with focus on Universiti Putra Malaysia (UPM)
No full textDeterminants of quality of life in Thai caregivers of dependent older adults: the role of health promotion and occupational risks
No full textCaregiving for dependent older adults presents significant health and occupational challenges, particularly in rural Thailand. This study examines predictors of health-related quality of life (HR-QOL) among in-home caregivers, focusing on health promotion, non-communicable diseases (NCDs) prevention, and occupational health practices. An analytic cross-sectional study was conducted among 701 caregivers across 23 districts in Nakhon Si Thammarat, southern Thailand. Data were collected through structured questionnaires assessing socio-demographics, health behaviors, working conditions, and HR-QOL using the Thai SF-36V2. Stepwise regression analysis identified key predictors of HR-QOL. Our findings indicate that most caregivers were female (81.5%), middle-aged (mean age: 47.7 years), and had moderate education levels. Over half experienced moderate exposure to occupational hazards, including physical, biological, ergonomic, and psychosocial risks, contributing to job strain, inadequate rest, and strained relationships. HR-QOL scores suggested that a significant proportion of caregivers had moderate to poor quality of life, particularly in physical health domains. Stepwise regression analysis showed that better self-reported health promotion behaviors and occupational hazard prevention practices were positively associated with HR-QOL, whereas the presence of NCDs had a negative impact. These findings highlight the need for targeted interventions to enhance caregivers’ well-being and inform public health strategies for strengthening community-based care systems
Melting ternary hybrid nanofluid stagnation point flow with velocity slip past a stretching/shrinking sheet: Numerical simulation and validation via P2SATRA
Get PDFTernary hybrid nanofluids are crucial to be modeled and researched before their commercial application as a heat transfer fluid. This study investigates the stagnation point flow of a ternary hybrid nanofluid past a stretching/shrinking sheet, focusing on the influence of the melting parameter and second-order velocity slip. The governing partial differential equations (PDEs) are initially formulated and subsequently reduced to ordinary differential equations (ODEs). These ODEs are further transformed into first-order form and numerically solved using the bvp4c solver in MATLAB. Stability analysis is conducted due to the existence of two potential solutions, of which only one proves stable upon analysis. The numerical results indicate significant enhancements in heat transfer performance under conditions of elevated melting and enhanced velocity slip. Reducing the melting parameter and second-order velocity slip may expand the solution range, leading to a delay in boundary layer separation. The stable numerical solution for the heat transfer rate is then validated with the use of a logic mining model namely Permutation 2 Satisfiability Reverse Analysis (P2SATRA). The most accurate induced logic, chosen to illustrate the overall relationship between the selected parameters is achieved in the third fold of a 10-fold cross-validation, yielding an accuracy of 0.81818
DNA barcoding: bioinformatics and phylogenetic workflow in R
No full textDNA barcoding is used to (i) assign taxonomic identity to unknown organisms and (ii) obtain taxonomic information about cryptic species. It involves sequencing a fragment of mitochondrial COI gene (=DNA barcodes) from specimens and performing comparisons with a library of DNA barcodes of known taxonomy. Here, in an update to the previous edition, we provided step-by-step instructions for using R, an open-source offline platform, to (1) convert sequencing reads into DNA barcodes and (2) analyse the barcodes with phylogenetic trees. We also provided steps of using BOLD, an online COI database, to perform the assignment of taxonomic identity
UPM bantu perkasa pendidikan komuniti suku Bateq
No full textSERDANG, 28 Mac - Universiti Putra Malaysia (UPM) menerusi Kolej Sepuluh dengan sokongan Yayasan Food Bank Malaysia (YFBM) telah melaksanakan Program Santuni Warisan @ Literasi Kelas Rimba Bateq (KRB) dengan menyantuni masyarakat Orang Asli suku Bateq di Pahang, baru- baru ini
Tuning synthesis temperature spectrum to unlock multifunctional potential in multi-walled carbon nanotubes for EMI shielding and optical applications
No full textMulti-walled carbon nanotubes (MWCNTs) have garnered significant attention for their promising potential in electromagnetic interference (EMI) shielding due to their superior electrical conductivity, structural stability,
and multifunctional properties. This study explores how chemical vapor deposition (CVD) synthesis temperatures
(700 ◦ C, and 900 ◦ C) affect the structural, morphological, thermal, absorption, optical properties, and EMI shielding of MWCNTs. Using advanced characterization techniques, including High-Resolution Transmission Electron Microscopy (HRTEM), Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), Raman spectroscopy, Thermogravimetric Analysis (TGA), and optical absorption spectroscopy, the MWCNTs were thoroughly analyzed. The 900 ◦ C sample exhibited superior EMI shielding effectiveness (38 dB in the X-band) and high optical transmittance of 85 % at 550 nm. In comparison, the 700 ◦ C sample had higher defect density,
resulting in lower transmittance (35 %) and reduced shielding (22 dB). These findings demonstrate a direct correlation between higher synthesis temperatures, improved crystallinity, and enhanced electromagnetic and
optical performance. This research highlights the potential of MWCNTs for high-performance EMI shielding materials, particularly suited for advanced applications in telecommunications, electronics, and aerospace
Development of fish gelatin film for anti-fogging mushroom packaging
No full textMushrooms are extremely perspiring and transpiring commodities. The commonly used plastic films for packaging fresh mushrooms have lower water vapour permeability compared to the rate at which mushrooms transpire, resulting in excessive moisture accumulation inside the package which leads to fogging. This study aimed to investigate the properties of a fish scale gelatin-based film and its correlation with antifogging properties. To produce the gelatin-based film, gelatin was extracted from fish scales using chemical pretreatment and thermal denaturation of collagen. A film-forming solution (FFS) was prepared by dissolving 2% (w/v) gelatin in a solvent, with the addition of glycerol. The solution was then cast to form the film, which underwent tests for mechanical strength, thermal behaviour, barrier properties, and antifogging performance. The resulting film (G-Gly) exhibited reduced tensile strength (13.21 MPa) but increased elongation at break (82.4%). Differential scanning calorimetry revealed a lower glass transition temperature (59.91 °C) for G-Gly. Both gelatin films displayed high water vapour permeability (1.69–3.09x10-6 g m/m2.day.Pa), preventing condensation. Notably, the G and G-Gly films remained fog-free even under varying temperatures, unlike linear low-density polyethylene film (LLDPE). In conclusion, the gelatin-based films demonstrated strong barrier properties and effective antifogging capabilities, making them suitable for moisture-sensitive commodities like mushrooms