University of Science and Technology

Early childhood education (ECE) plays a foundational role in shaping children’s cognitive, social, and emotional development, making the preparation of high-quality preschool teachers a global educational priority (UNESCO, 2024; OECD, 2020). In response to increasing demands for educators who can effectively integrate pedagogical theory with classroom practice, the concept of dual-qualified preschool teachers has emerged as a central objective of teacher-education reform in many countries, particularly in China. University–kindergarten collaboration has been widely promoted as a key mechanism for strengthening theory–practice integration in teacher preparation through structured partnerships that combine academic coursework with experiential learning opportunities. This review synthesizes international and Chinese literature on collaborative preschool teacher-training models, with particular attention to policy frameworks, institutional practices, and theoretical foundations supporting university–kindergarten partnerships. The paper examines major collaboration models such as clinical practice approaches, mentorship-based training, professional learning communities, and research-based partnerships, alongside China’s “3 + 1” training structure. It also explores the roles of universities and kindergartens as complementary training environments and analyses policy initiatives shaping early childhood teacher-education reform. Despite substantial progress in collaborative training strategies, the literature reveals persistent gaps relating to curriculum alignment, mentorship capacity, institutional coordination, and evaluation mechanisms, particularly in regionally diverse contexts such as Hebei Province. By identifying these gaps and synthesizing existing research trends, this review establishes a conceptual framework for strengthening university–kindergarten partnerships and provides a foundation for improving the preparation of dual-qualified preschool teachers in China and comparable educational systems.

The aim of this article is to conduct a corpus-based comparative study of simplification processes occurring in English translations of a literary text at the lexical level. The study examines such indicators as unique lexemes, reduplicated lexemes, the lexical diversity coefficient, and lexeme frequency lists. The novel by F. M. Dostoevsky «Crime and Punishment» as well as two versions of its English translation by K. Garnett and O. Ready, serve as the material for the study. The phenomenon of simplification is examined using quantitative methods of corpus linguistics, namely, the method of searching and analyzing lexeme frequency lists.

Abstract Background The consumption of energy drinks (EDs) is becoming a common phenomenon and widespread habit among university students, especially those majoring in demanding medical fields. This study aimed to determine the prevalence of energy drink consumption among university medical students in Aden, Yemen. Methods A cross-sectional study was carried out on 400 university students of both public and private universities during May-August 2025. The collection of data was done by using a structured questionnaire, and then the extracted data was analyzed with SPSS. Results The overall prevalence of ED consumption was 62.5%. ED consumption was higher in males (68.5%) and younger students ≤ 19 years (73.6%), both of which had a significant association (p < 0.05). Consumption was higher in the evening, at 59.2%, and the brand of choice was Lift Up. Academic demands were a strong factor, as reflected by 76.8% of the respondents who said that the intake increased during examinations. Almost half of them combined energy drinks with other substances (44.8%). Although 83.8% of respondents believed that EDs improve concentration and energy, most also agreed to adverse effects, especially insomnia (agreed to by 66%), anxiety or stress (58.8%), heart palpitations (58.2%), and dehydration (58.4%). Conclusion energy drinks are commonly used by medical students in the city of Aden, with consumption levels influenced by demographic and academic variables. Although perceived to be beneficial by promoting alertness, the EDs have adverse health effects, which the students are fully aware of, apart from the beneficial effects gained from consumption.

GIS technology is increasingly being introduced into analytical activities due to a special focus on the relationship of observation objects in space. In addition, the growth of interest in geoinformation methods is facilitated by emergence of geographically structured data sets, including big social data, which, in addition to obvious advantages, are characterized by possible errors and incomplete facts, including address information. The aim of the work is to study the influence of the applied data geocoding algorithms and the weight matrices formed on their basis on the results of assessing the spatial autocorrelation of prices. The study was conducted on the prices of potato for 1952 settlements of the Russian Federation, in daily detail for the period from 01/01/2021 to 12/31/2024. The computational experiment is aimed at comparing alternative estimates of the global Moran`s index with testing various geocoding sources (Openstreetmap and Rosreestr) and approaches to constructing spatial weight matrices. The research showed that, in general, the geocoding source does not greatly affect the conclusion on presence/absence of spatial dependence of prices, but in the case of OSM API geocoding, higher index estimates were derived, with a corresponding proportion of statistically significant estimates and less variation in the values obtained. The choice of the weight matrix can influence the final estimates

Ammonia decomposition is governed by an intrinsic trade-off between NH3 dehydrogenation and N-N coupling, giving rise to the well-known volcano relationship that has long positioned ruthenium (Ru) near the activity maximum. However, whether this relationship can be reshaped through catalyst design remains an open question. Here we show that metal-oxide interfacial cooperation qualitatively alters the reaction pathway of ammonia decomposition. Using reaction-aware machine learning simulations, we find that on MgO(111)-supported metal nanoparticles, NH3 dehydrogenation, one of the most kinetically demanding steps, occurs predominantly at the metal-MgO(111) interface with substantially reduced activation barriers, while N-N coupling remains governed by the metal surface. This spatial separation of reaction bottlenecks relaxes the classical single-site trade-off and drives a shift of the activity volcano toward weaker nitrogen-binding metals. As a consequence, Ni/MgO(111) and Cu/MgO(111) emerge near the new activity optimum and are predicted to rival or surpass Ru/MgO(111), as supported by density functional theory calculations and microkinetic modeling. Our results establish interfacial cooperation as a general design principle for tuning volcano relationships in heterogeneous catalysis and for activating earth-abundant metals beyond conventional single-site paradigms.

With the growth of health monitoring and human-computer interaction needs, wearable flexible sensors have achieved rapid development due to their flexibility, comfort and integrability. This paper systematically reviews the latest research progress in this field: firstly, the flexible sensors based on different mechanisms and their performance characteristics are introduced in detail; Then, the research status of key functional materials is expounded. Then, the technical path of sensor and system integration is discussed, and its typical applications in medical health, sports science and other fields are listed. Finally, the current technical problems are summarized and the future development trend is prospected, which provides a reference for broader research and application in this field.

Lens flare is a common nighttime artifact caused by strong light sources scattering within camera lenses, leading to hazy streaks, halos, and glare that degrade visual quality. However, existing methods usually fail to effectively address nonuniform scattered flares, which severely reduces their applicability to complex real-world scenarios with diverse lighting conditions.To address this issue, we propose SLCFormer, a novel spectral-local context transformer framework for effective nighttime lens flare removal. SLCFormer integrates two key modules: the Frequency Fourier and Excitation Module (FFEM), which captures efficient global contextual representations in the frequency domain to model flare characteristics, and the Directionally-Enhanced Spatial Module (DESM) for local structural enhancement and directional features in the spatial domain for precise flare removal. Furthermore, we introduce a ZernikeVAE-based scatter flare generation pipeline to synthesize physically realistic scatter flares with spatially varying PSFs, bridging optical physics and data-driven training. Extensive experiments on the Flare7K++ dataset demonstrate that our method achieves state-of-the-art performance, outperforming existing approaches in both quantitative metrics and perceptual visual quality, and generalizing robustly to real nighttime scenes with complex flare artifacts.

Teacher leadership (TL) plays an increasingly important role in advancing teaching quality and institutional development in higher education. However, the socio-emotional mechanisms through which TL develops in China’s private universities remain underexplored. Guided by a mixed-model conception of emotional intelligence (EI) and a social-relational lens, this study investigates whether interpersonal relationships (IR) help clarify the pathway from EI to TL. Survey data were collected from 637 full-time academics across 12 private universities in Shandong Province using validated multidimensional EI, IR and TL instruments. Structural equation modeling indicated that EI positively predicts TL, with IR accounting for part of this association. Faculty with higher EI reported stronger collegial respect, acceptance, trust and workplace harmony, and these relational qualities were linked to enhanced TL. The findings highlight a socio-emotional channel through which teacher leadership develops and suggest that faculty development initiatives in private universities should pair EI cultivation with deliberate relationship-building efforts.

Nas últimas décadas, o campo educacional tem questionado modelos pedagógicos centrados na transmissão unilateral de conteúdos, ressaltando a urgência de práticas formativas que valorizem o diálogo, a consciência crítica e a participação ativa dos sujeitos no processo de ensino-aprendizagem. Nesse contexto, o pensamento de Paulo Freire mantém vigor teórico e político ao propor uma relação horizontal entre educador e educando, sustentada pela dialogicidade como fundamento do ato educativo. Em Pedagogia do Oprimido, a dialogicidade é concebida como princípio estruturante da pedagogia freireana, pois institui a condição de sujeitos que ensinam e aprendem mutuamente na produção do conhecimento. O presente artigo tem como objeto de análise a relação “educador-educando e educando-educador”, compreendida como expressão concreta desse princípio e como eixo de uma práxis pedagógica libertária. Parte-se da seguinte pergunta de investigação: de que modo a dialogicidade, enquanto conceito fundante da pedagogia freireana, sustenta uma educação emancipadora baseada na problematização da realidade e na construção coletiva do saber? Teoricamente, fizemos uso central das obras de Paulo Freire (1970; 1992; 1997; 2011; 2013; 2015), auxiliados pelos trabalhos de Saviani (1996; 2008; 2011), Giroux (2005; 2011; 2024), Apple (1999; 2012; 2013; 2019), McLaren (1997; 2014; 2015), hooks (1994; 2000; 2003; 2010; 2018), Buber (1982; 2001), Habermas (1989), Marx (2015). A pesquisa é de cunho qualitativo (Minayo, 2007), bibliográfico e descritivo (2008) e com o viés analítico compreensivo (Weber, 1949). A investigação evidenciou que a dialogicidade constitui fundamento estruturante de uma pedagogia emancipadora ao redefinir o ato educativo como coprodução histórica do conhecimento entre sujeitos críticos e participativos. Constatou-se que a superação da educação bancária depende da ressignificação da autoridade docente como mediação ética e intelectual orientada pelo diálogo. Observou-se que a problematização da realidade concreta conecta saber escolar e experiência social, fortalecendo sentidos formativos. Verificou-se que a construção coletiva do conhecimento amplia autonomia intelectual, participação democrática e consciência histórica. Conclui-se que a dialogicidade integra dimensão ontológica, ética e política da educação, sustentando práticas comprometidas com humanização e transformação social.

This paper presents the Assimilation Modified Emotional (AME) algorithm, which is an enhanced version of the traditional label propagation algorithm (LPA) designed to address key challenges in social network analysis and emotional feature extraction. Traditional LPA methods, such as asynchronous label propagation and the Louvain algorithm, do not incorporate emotional representations and are often limited by local structural dependencies. The AME algorithm addresses these limitations by applying spectral algorithms, Markov chains, graph coarsening, and link prediction to simulate and optimize emotional transitions within the network. In addition, the AME algorithm enhances label representation through multi-label encoding, which allows for more accurate simulation of dynamic emotional states. Experimental results show that the AME algorithm achieves better performance than traditional LPA methods in terms of both accuracy and loss values. These findings indicate that the AME algorithm has strong potential for improving AI models used in social network analysis and emotional feature extraction.