University of Arts

HRMARS - Physics education in high schools is often challenged by issues such as passive student learning, weak practical abilities, and superficial conceptual understanding. To address these problems, the 325-Teaching Model, which integrates 30% independent learning, 20% practice feedback, and 50% experimental practice, has been proposed as an innovative teaching approach. This study aims to explore the impact of this model on high school students’ physics learning abilities and learning experiences. A questionnaire survey was conducted among 33 tenth-grade students from a middle school in Yunnan Province, who had received the 325-Teaching Model for one full semester, with 15 single-choice questions designed to collect data on students’ perceptions of the model, of which four were selected for analysis. Descriptive statistical analysis was used to process the data. The results show that the 325-Teaching Model effectively enhances students’ core physics abilities, including conceptual understanding, formula application, experimental design, and practical problem-solving. It also fosters positive learning experiences featuring enhanced learning enjoyment and a strong sense of accomplishment. The results show that from students’ firsthand experiences, the 325-Teaching Model effectively enhances their core physics abilities.

Artificial intelligence (AI) is transforming university career services, shifting from traditional predictive algorithms to interactive generative agents. This transition raises critical questions about student agency and the digital platformisation of career guidance. In this systematic review, we examined empirical evaluations and technical architectures of AI implementations in higher education career counselling from 2015 to 2025. Following PRISMA 2020 guidelines, we identified 43 studies across Web of Science, Scopus, and ERIC. Methodologically, we appraised study quality using the Mixed Methods Appraisal Tool (MMAT) and conducted a thematic narrative synthesis. We identified three main AI implementation typologies: (1) Generative Chatbots offering scalable 24/7 support, though limited by user trust barriers and a lack of perceived empathy; (2) Predictive Analytics forecasting employability, which require transparent, explainable models; and (3) Recommender Ecosystems that match students to personalized career pathways using institutional data. Interpreting these empirical findings through Career Construction Theory and Platformisation, we highlight a tension between technological efficiency and student agency. While AI expands information access, over-reliance on opaque algorithms introduces the risk of “automation bias,” where students passively accept recommendations rather than actively constructing their vocational identities. We conclude that AI should augment, rather than replace, human counsellors within a hybrid support model. Future research should prioritize longitudinal evaluations of AI interventions, algorithmic audits of recommender platforms, and the development of Explainable AI (XAI) to foster critical AI literacy.

This work presentsthe electrochemical activity of five dihydrobenzothienopyranonederivatives, A1–A5, toward the electrooxidation ofhydrazine (N2H4) in alkaline media (1 M KOH+ 0.5 M N2H4). All of the prepared catalystswere characterized by cyclic voltammetry (CV), chronoamperometry (CA),electrochemical impedance spectroscopy (EIS), and linear sweep voltammetry(LSV). Dihydrobenzothienopyranone (A5) exhibits the highest electrochemical activity, with a currentdensity of 38.29 mA/cm2. It also exhibited very good long-termstability, showing constant catalytic activities, current density,and low charge transfer resistance during extended periods, with relevantfeatures for efficient energy conversion. These findings thus constituteevidence that A5 might be anactive but economically feasible alternative to the conventionallyused transition metal-based catalysts such as Pd, Au, and Pt at theanodes of direct hydrazine fuel cells. These properties combine highstability and low cost to further make the catalyst an encouragingcandidate for fuel cell technologies that are benign to the environment.These results highlight the potential of organic-based materials infuel cell applications for the future and offer a sustainable alternativeto the current metal-based systems.

With the deepening of curriculum reforms in basic education, interdisciplinary teaching has gradually become an important means to enhance students’ core competencies, and teachers’ interdisciplinary teaching competence (ITC) has become a core element of the curriculum reform. Pre-service primary school teachers, as the future backbone of education, play a crucial role in the development of ITC. Knowledge anchors, as a framework that integrates subject knowledge and local cultural resources, provide a new perspective and approach to teacher competence development by linking real-world problems with disciplinary knowledge. Based on theories of ITC and knowledge integration, this paper proposes a pathway for developing pre-service primary school teachers’ ITC from the perspectives of cognitive restructuring, curriculum design, instructional practice, and assessment mechanisms. The pathway is explored with the integration of Shaanxi’s local cultural resources, with research findings indicating that this approach not only effectively promotes the enhancement of pre-service teachers’ ITC but also provides feasible theoretical and practical support for educational reform.

Higher education is often presented as a pathway to social mobility, yet persistent inequalities remain between first-generation students and their continuing-generation peers. This paper explores how differences in social and cultural capital shape the experiences of first-generation students in higher education, with a particular focus on business and economic programs. Drawing on existing research and survey data from a university of applied sciences in Flanders, we show that differences in retention and graduation cannot be explained by financial constraints alone. Instead, a lasting cultural mismatch requires first-generation students to engage in higher levels of cultural adaptation work, contributing to unequal educational outcomes. The paper concludes by discussing institutional practices that may help create more inclusive forms of business education.

BackgroundAdherence to the Mediterranean diet is widely recognized as a protective factor for health, yet its determinants remain complex and multidimensional. This study investigates the social, economic, cultural, familial, and perceptual factors associated with adherence to the Mediterranean diet within the Italian population.MethodsUsing a stepwise approach based on four linear multiple regression models, we analyzed nationally representative survey data to assess how different sets of variables influence adherence to the Mediterranean diet. The analysis was informed by the theoretical framework of the social determinants of health, the nutrition transition theory, and Bourdieu’s concept of cultural capital.ResultsInitial models identified younger age and higher educational attainment as significant predictors of greater adherence. With the inclusion of socioeconomic variables, household income emerged as a more robust predictor, while the effect of education diminished. Subsequent models showed that family cultural capital and individual awareness of diet-health relationships significantly increased explanatory power. In the final model, perceptual and cognitive variables—especially the recognition of the role of nutrition and body weight in health—were among the strongest predictors (adjusted R² = 0.25; Durbin-Watson = 1.98).ConclusionsAdherence to the Mediterranean diet reflects not only economic or educational resources, but also deeper cultural and cognitive dimensions. The findings suggest that effective public health interventions should integrate nutritional education, cultural engagement, and targeted support for socially and geographically disadvantaged groups. Rather than a purely behavioral choice, dietary adherence should be understood as a socially structured practice embedded in broader patterns of inequality.

In this study, a two-dimensional hydrogen-bonded organic framework (2D HOF) @Au surface-enhanced Raman scattering (SERS) substrate was utilized to be synergistic with the G-quadruplex DNA network (GDN) as a signal catalyst to achieve a low-background trimode detection for lomefloxacin. A large specific surface area and abundant -NH2 functional groups of 2D HOF serve as an ideal nanocarrier for loading numerous Au nanoparticles, thereby enhancing active site density and generating a strong electromagnetic field. Subsequently, target-induced DNA walkers efficiently cleaved to produce a substantial amount of output DNA, furthered enhancing the selectivity of the sensing system. By designing the terminal regions of DNA strands S2 and S3 as split G-quadruplex motifs and hybridize with output DNA to form a Y-shaped module, which can further self-assemble into a GDN, this network effectively captured a large quantity of hemin, thereby exhibiting robust peroxidase-like activity. Notably, compared to the conventional approaches that employed nanowires as carriers for G-quadruplex structures, the DNA network offered superior structural stability and stable catalytic performance. Moreover, the reconstitution of split G-quadruplex units into intact G-quadruplexes significantly reduced background signals and minimized nonspecific positive responses. Finally, the integration of the G-quadruplex-rich GDN with DNA-functionalized 2D HOF enabled the catalytic conversion of H2O2 into ·OH radicals and oxidized TMB to oxTMB, inducing distinct colorimetric and SERS signal changes. This approach enabled the simultaneous SERS, colorimetric, and visual detection of lomefloxacin (LOM) with detection limits as low as 6.54 × 10-14 mol/L, 3.27 × 10-11 mol/L, and 5.31 × 10-11 mol/L, respectively. This method has been successfully applied to the analysis of real-world samples, demonstrating its promising potential for practical applications.

ABSTRACT The use of kerosene-based regenerative cooling for liquid rocket engine has been found widespread attention due to its good thermal protection performance. Focusing on the regenerative cooling technology of liquid rocket engines, this paper employs numerical simulation methods to analyse the impact of regenerative cooling channel structural parameters on flow distribution and thermal coupling characteristics. The effect of channel number, channel section shape and aspect ratio of the cooling channel were studied. The results indicate that an increase in channel number leads to greater flow distribution differences at the inlets. When the coolant outlet is closer to the inlets, its temperature is higher and the flow rate is slower. For channel section shape, the trapezoidal channels facilitate a more uniform flow distribution in regenerative cooling systems, providing a larger heat transfer area between the fluid and the solid, and the overall cooling effect is better. With increasing aspect ratios, the coolant outlet temperature rises, and the overall flow distribution within the regenerative cooling system becomes more uniform under high aspect ratios. This study provides significant insights for guiding the optimisation of a regenerative cooling system structure in the future.

Abstract Hybrid heterojunctions integrating lanthanide‐doped upconversion nanoparticles (UCNPs) and lead‐halide perovskites (LHPs) offer compelling opportunities for multimodal luminescence and tailored photon conversion. However, the synthesis of well‐defined UCNP/LHP heterostructures is hindered by the rapid crystallization kinetics and ionic character of perovskites, while the energy transfer mechanisms—particularly the role of LHPs in modulating upconversion—remain poorly understood. Here, we demonstrate a thermodynamics‐controlled epitaxial growth strategy that enables the fabrication of high‐quality NaYF 4 :Yb,Tm/Cs 4 PbBr 6 heterostructures with tunable architecture—from core/shell to UCNP‐in‐LHP solids. Crucially, the Cs 4 PbBr 6 layer acts not merely as a passive energy acceptor, but as a functional sub‐energy level that facilitates back energy transfer to Tm 3+ and redirects its excited‐state population. This coherent energy recycling enables broadly tunable upconversion emission across the entire visible spectrum. Our findings provide a robust route to high‐quality UCNP/LHP heterostructures and establish LHPs as active participants in the engineering of upconversion pathways.