Search Results (67)

Focusing on the Pārijāta Tree on the summit of Mount Sumeru, the centre of Asian cosmology, this study analyses its depictions and images. These include Chinese translations of Buddhist texts, the most notable depictions in the handscrolls from the Dūn Huáng and Harvard Art Museums, its representations in Japanese classical literature and early modern Japanese illustrations of Mount Sumeru. Finally, drawing from the discussions on trees in the Buddhist texts, A Forest of Pearls from the Dharma Garden [法苑珠林, Fǎ yuàn zhū lín], the study also addresses various issues surrounding tree felling, which are relevant to the current concerns of environmental protection. I argue that the Pārijāta Tree, positioned as the heavenly king of trees, holds significance as a core figure at the centre of the cosmos. The Pārijāta Tree can be said to serve as a metaphor for the supreme state pursued by Buddhist practitioners. Furthermore, this study suggests that issues related to Asian cosmology or worldviews should be pursued as important subjects in future research on environmental literature. Full article

Interest in instructional leadership has grown dramatically in Asia since 2010. This systematic state-of-the-art review analyzed the evolution of analytical models, research methods, and findings in Asian studies of instructional leadership that employed the Principal Instructional Management Rating Scale (PIMRS). The authors applied content analysis to 349 Asian instructional leadership studies sourced from multiple digital databases. The publication of Asia-based studies of instructional leadership increased from 47 before 2011 to 257 in the subsequent 15 years. Our analysis of 302 quantitative and mixed methods studies found that Asian scholars have primarily employed univariate and direct effects models in their instructional leadership studies, a limitation for knowledge advancement. At the same time, the use of advanced multivariate analytical models increased from 2.1% of the literature before 2011 to 23.3% in the subsequent period. Analysis of 20 “state-of-the-art studies” found a consistent pattern of significant mediated and direct effects of instructional leadership on teacher attitudes and practices. Moreover, several well-designed studies found that a school’s cultural context moderated the effects of instructional leadership on teaching and learning. Findings from the state-of-the-art review highlight the relationship between analytical models, variable selection, and research methods in studies that advance knowledge. Full article

Automated handwritten signature verification continues to pose significant challenges. A common approach for developing writer-independent signature verifiers involves the use of a dichotomizer, a function that generates a dissimilarity vector with the differences between similar and dissimilar pairs of signature descriptors as components. The Dichotomy Transform was applied within a Euclidean or vector space context, where vectored representations of handwritten signatures were embedded in and conformed to Euclidean geometry. Recent advances in computer vision indicate that image representations to the Riemannian Symmetric Positive Definite (SPD) manifolds outperform vector space representations. In offline signature verification, both writer-dependent and writer-independent systems have recently begun leveraging Riemannian frameworks in the space of SPD matrices, demonstrating notable success. This work introduces, for the first time in the signature verification literature, a Riemannian dichotomizer employing Riemannian dissimilarity vectors (RDVs). The proposed framework explores a number of local and global (or common pole) topologies, as well as simple serial and parallel fusion strategies for RDVs for constructing robust models. Experiments were conducted on five popular signature datasets of Western and Asian origin, using blind intra- and cross-lingual experimental protocols. The results indicate the discriminative capabilities of the proposed Riemannian dichotomizer framework, which can be compared to other state-of-the-art and computationally demanding architectures. Full article

Background: Assisted reproductive technologies (ARTs) are essential in treating infertility but often face limited success due to low implantation and live birth rates. East Asian traditional medicine (EATM), including acupuncture and herbal medicine (HM), may enhance physiological responses during ART cycles. This study evaluated the effectiveness and safety of EATM in improving clinical pregnancy and live birth outcomes in women undergoing ART. Methods: This review, registered in PROSPERO (CRD42023411712), systematically searched 11 databases up to 31 March 2023. We included randomized controlled trials (RCTs) comparing EATM interventions to control groups. Data extraction and quality assessment were performed independently by two authors. Meta-analysis used the inverse-variance method in Stata 12.0. A total of 37 RCTs involving 10,776 women (aged 29–38) were analyzed. Studies addressed infertility causes including polycystic ovary syndrome, tubal blockage, diminished ovarian reserve, and unexplained infertility. Acupuncture therapies included body, electro-, laser, and auricular acupuncture. Herbal treatments were administered as powders, pills, granules, decoctions, and ointments based on traditional Chinese formulas. Results: EATM interventions were associated with significant improvements in clinical pregnancy and live birth rates. Acupuncture increased clinical pregnancy rates (CPR: RR 1.316, 95% CI 1.171–1.480) and live birth rates (LBR: RR 1.287, 95% CI 1.081–1.533). HM also enhanced CPRs (RR 1.184) and LBRs (RR 1.147). Subgroup analysis showed true acupuncture and HM were more effective than sham or placebo. No significant differences in adverse events were found. Conclusions: EATM, particularly acupuncture and HM, appears to be a safe and effective complementary therapy that can be used to improve ART outcomes. Future research should focus on developing standardized acupuncture and herbal protocols to optimize integration with ART. Full article

This study presents the first scientific characterization of the white preparatory layer and polychrome pigments on painted wooden figurines excavated from the Mawangdui Tomb No. 1, dating to the Han dynasty. A combination of analytical techniques, including XRF mapping, SEM, ATR-FTIR, XRD, and Raman spectroscopy, was used to investigate the composition, structure, and potential additives in the white layer. The results reveal that the preparatory layer is primarily composed of gypsum (CaSO₄·2H₂O) and calcite (CaCO₃), with minor phases such as anhydrite and larnite. SEM observations show a porous microstructure of needle-like crystals, while spectroscopic data suggest possible traces of organic binders. The preparatory layer was likely applied to smooth surface irregularities and support polychrome decoration, such as cinnabar and carbon-based pigments, and may have also functioned as a putty in localized areas. This represents the first confirmed use of gypsum-based plaster in ancient Chinese woodcarving, showing unexpected parallels with surface preparation techniques used in New Kingdom Egypt. However, the presence of organic additives and the internal structure of the figurines remain unresolved due to equipment limitations. These findings provide new insights into ancient material practices and highlight the importance of environmental control and material-specific conservation strategies for fragile gypsum-based heritage objects. Full article

The classical Laocoön and His Son (ca. 50 CE), rediscovered in 1506 in Rome, is arguably the most illustrious artwork anchoring the entire canon of art history. Less is known about the eighth-century Chinese Laocoön that predates the Italian rediscovery of the classical prototype by seven centuries. The tale of the two Laocoöns is a story of canon formation: the Italian work becomes one of the best-known artworks in the world; the Chinese one is hardly known. Why should that be the case? How do artworks become canonical? How does art acquire its canon? Does canon necessarily mean a collection of exemplary artworks? Or is canonization largely a process of ranking artists and corralling object-centered narratives? Is the Western concept of canon universally applicable or are there other ways of canonization that lead to a canon without particular objects? For these questions, the long history of Chinese art provides answers. Full article

Word segmentation is a critical task in natural language processing for southeast Asian Abugida languages, including Thai, Burmese, and Khmer. Existing approaches demonstrate that models using fixed-length windowed context inputs can achieve high segmentation accuracy; however, they often rely on low-level character features or language-specific preprocessing. Character-based methods can limit feature learning, while language-specific features add complexity due to specialized preprocessing requirements. This paper introduces UnifiedCut, which is a neural model that leverages multiple n-grams within a windowed multi-head attention mechanism. This design captures segmentation features from local contexts and multi-perspective n-gram inputs, enhancing generalization and recall, particularly for out-of-vocabulary words. Compared to CNN- and RNN-based approaches, UnifiedCut’s multi-head attention enables finer-grained feature extraction and greater parallelism, resulting in a faster, more scalable solution. Comprehensive experiments on public datasets for Thai, Burmese, and Khmer show that UnifiedCutachieves state-of-the-art performance in word segmentation. Full article

With the advancement of modernization, traditional bazaars have encountered challenges, such as diminished vitality. Concurrently, the trend of integrating cultural spaces into bazaars has become increasingly evident. Understanding the relationship between bazaars and cultural spaces, as well as the preferences of users of these spaces, is crucial for enhancing bazaar vitality. Employing field research, questionnaire surveys, cross-analysis, and the narrative preference method, this paper compares the bazaar cultural spaces of Central Asia and Chinese from four perspectives: the current state of the bazaar, development overview, user preferences, and cultural space type preferences. This aims to deepen the understanding of the commonalities and differences between the two regions, and to explore the development trends of bazaars and their cultural spaces. The study reveals that (1) Spaces with diversified functions, high accessibility, and openness can enhance the vitality of the bazaar; (2) There exists a synergistic, mutually beneficial relationship between the bazaar and the cultural spaces; (3) Central Asian residents place greater emphasis on the environmental quality of the bazaar and the engaging content of its cultural spaces. In contrast, Chinese residents are more focused on the accessibility of the bazaar and the openness of the cultural spaces; (4) The function of art and culture is the preferred type of cultural space in the bazaar among residents of both regions. This study significantly contributes to the planning, design, and optimization of bazaars and their cultural spaces. Full article

Rice is the primary staple food in many Asian countries, and ensuring the quality of rice crops is vital for food security. Effective crop management depends on the early and precise detection of common rice diseases such as bacterial blight, blast, brown spot, and tungro. This work presents a convolutional neural network model for classifying rice leaf disease. Four distinct diseases, bacterial blight, blast, brown spot, and tungro, are the main targets of the model. Previously, leaf pathologies in crops were mostly identified manually using specialized equipment, which was time-consuming and inefficient. This study offers a remedy for accurately diagnosing and classifying rice leaf diseases through deep learning techniques. Using this dataset, the proposed CNN model was trained to identify complex patterns and attributes linked to each disease using its deep learning capabilities. This CNN model achieved an exceptional accuracy of 99.99%, surpassing the benchmarks set by existing state-of-the-art models. The proposed model can be a useful diagnostic and early warning system for rice leaf diseases. It could help farmers and other agricultural professionals reduce crop losses and enhance the quality of their yields. Full article

Background: The reproductive age of women is particularly vulnerable to the effects of polycystic ovarian syndrome (PCOS). High levels of testosterone and other male hormones are frequent contributors to PCOS. It is believed that miscarriages and ovulation problems are majorly caused by PCOS. A recent study found that 31.3% of Asian women have been afflicted with PCOS. Healing women with life-threatening disorders associated with PCOS requires more research. In prior research, methods have involved autonomously classified PCOS using a number of different machine learning techniques. ML-based approaches involve hand-crafted feature extraction and suffer from low performance issues, which cannot be ignored for the accurate prediction and identification of PCOS. Objective: Hence, predicting PCOS using cutting-edge deep learning methods for automated feature engineering with better performance is the prime focus of this study. Methods: The proposed method suggests three lightweight (LSTM-based, CNN-based, and CNN-LSTM-based) deep learning models, incorporating SMOTE for dataset balancing to obtain a valid performance. Results: The proposed three models tend to offer an accuracy of 92.04%, 96.59%, and 94.31%, an ROC-AUC of 92.0%, 96.6%, and 94.3%, the number of parameters of 6689, 297, and 13285, and a training time of 67.27 s, 10.02 s, and 18.51 s, respectively. In addition, the DeLong test is also performed to compare AUCs to assess the statistical significance of all three models. Among all three models, the SMOTE + CNN models performs better in terms of accuracy, precision, recall, AUC, number of parameters, training time, DeLong’s p-value over the other. Conclusions: Moreover, a performance comparison is also carried out with other state-of-the-art PCOS detection studies and methods, which validates the better performance of the proposed model. Thus, the proposed model provides the greatest performance, which can lead to a reduction in the number of failed pregnancies and help in finding PCOS in the early stages. Full article

The starting point of this proposal is a collection of decorated cuias, preserved in Portugal and produced by Indigenous women in Grão-Pará in the 18th century. The objects in question are an exemplary case of the global art history of the Amazonian communities. In order to investigate them, it is necessary to consider the procurement and ritual use of cuias (fruits of the cuieira tree-Crescentia cuyete), the sophisticated techniques used to produce a durable, glossy, black varnish from cumatê (or cumaté, cumati), a natural dark red pigment extracted from the skins of the cumatezeiro or axuazeiro tree (Myrcia atramentifera), as well as the incorporation of fauna and flora motifs from Asian or Asian-inspired textiles and embroidery, which circulated worldwide. Their history brings together the nature of the forest, the myths of creation, and the knowledge and practices of Indigenous and riverine women, mainly from the lower Amazon. Studying these objects produced by Indigenous female painters in a colonial context of appropriation, in addition to contributing to their knowledge, can stimulate dialogues on the knowledge of the Brazilian Amazon rainforest with other locations in America, sharing their ancestry and resistance. Full article

For people from communities experiencing poverty and oppression, education, particularly higher education, is a means to ensure upward socioeconomic mobility. The access to and attainment of education are issues of social and economic justice, built upon foundational experiences in primary and secondary settings, and impacted by students’ cultural and socio-political environments. 6. The 2020 murder of George Floyd, the Black Lives Matter movement, ongoing discourse around immigration, and COVID-19-related hate targeting people of Asian American descent prompted national calls to dismantle social and systemic racism, spurring diversity, equity, inclusion, and accessibility (DEIA) initiatives, particularly in education. However, these efforts have faced opposition from teachers who have told students that all lives matter, and racism does not exist in many American classrooms Loza. These comments negate students’ experiences, suppress cultural and identity affirmation, and negatively impact student wellness and academic performance. Forged in this polarized environment, two longtime community organizers and educators, an indigenous person living away from her ancestral lands and a multiracial descendant of Japanese Americans interned during WWII, whose identities, experiences, and personal narratives shape the course of their work in and outside of the physical classroom, call on fellow educators to exercise y (2018) component of the archeology of self, a “profound love, a deep, ethical commitment to caring for the communities where one works”, by adopting a framework to encourage this profound love in students, acting not just as a teacher, but as a sensei. The word sensei is commonly understood in reference to a teacher of Japanese martial arts. The honorific sensei, however, in kanji means one who comes before, implying intergenerational connection. Sensei is an umbrella expression used for elders who have attained a level of mastery within their respective crafts—doctors, teachers, politicians, and spiritual leaders may all earn the title of sensei. The sensei preserves funds of knowledge across generations, passing down and building upon knowledge from those who came before. The Student Empowerment through Narrative, Storytelling, Engagement, and Identity (SENSEI) framework provides an asset-based, culturally affirming approach to working with students in and beyond the classroom. The framework builds on tools and perspectives, including Asset-based Community Development (ABCD), the Narrative Theory, Yosso’s cultural community wealth, cultural continuity, thrivance, community organizing tenets, and storytelling SENSEI provides a pedagogy that encourages students to explore, define, and own their identities and experiences and grow funds of knowledge, empowering them to transform their own communities from within. The SENSEI framework begins by redefining a teacher as not simply one who teaches in a classroom but rather one who teaches valuable life lessons that transcend colonial conceptualizations of the teacher. In colonized contexts, teachers function to maintain hegemony and assert dominance over marginalized populations. In the SENSEI framework, teachers are those who disrupt colonial patterns and function to reclaim the strengths and voices of the communities they serve. In the SENSEI framework, students are not relegated to those enrolled in classrooms. As with a sensei, a student exists to counter hegemony by embracing and enacting their cultural wealth Educators must help counter harmful narratives and encourage students to identify the strengths that lie within themselves and their communities. Collective forms of narrative that value identity can ensure the continuity of a community or a people. The stories of students’ histories, traditional practices, and resilience can help disrupt harms, many that have lasted for generations, so they may not just survive, but thrive. Full article

Background: Youth experiencing homelessness (YEH) in East Asian Pacific (EAP) regions represent one of the most at-risk populations due to cultural and geographical factors. Effective mental health interventions, primarily researched in Western contexts, may not fully apply to YEH in EAP. Their lack of stable shelter, disrupted social networks, and limited access to mental health services elevate their susceptibility to adverse mental health, making urgent interventions essential to address their needs. Objective: The objective of this study is to explore and systematically search the types of mental health services and interventions available for YEH in EAP and their impact on overall quality of life and wellbeing. Methods: Electronic databases (e.g., Medline, PsycINFO, PubMed, Scopus) were systematically searched (publication dates between 1 January 1990 and 13 May 2023), as well as additional online resources specific to homelessness. Articles were screened, and a critical appraisal assessed the quality of the included studies. Results: Eight studies with different interventions were identified in Indonesia (n = 2), Malaysia (n = 1), South Korea (n = 3), and the Philippines (n = 1). These were thematically clustered into six categories: art, cognitive behavioural therapy, life skills education, resilience enhancement, family strengthening, and government interventions/services. Conclusions: This review highlights effective mental health interventions’ positive impact on YEH mental health outcomes and quality of life in EAP, stressing the urgent need to implement socio-culturally sensitive services. Future research should address knowledge gaps through comprehensive studies covering diverse EAP regions and populations, prioritising socio-culturally specific psychological measures. Full article

Schizophrenia is characterized by psychiatric symptoms and emotional issues. While pharmacological treatments have limitations, non-pharmacological interventions are essential. Art therapy has the potential to enhance emotional expression, communication, and health; however, the effectiveness of visual art therapy remains uncertain. This systematic review and meta-analysis synthesizes the findings of randomized controlled trials (RCTs) of visual art therapy on positive symptoms, negative symptoms, and emotions in patients with schizophrenia. This study reviews RCTs published prior to February, 2024. The PubMed, Embase, Cochrane Library, CEPS, CNKI, Wanfang, and Yiigle databases were searched, and three independent researchers screened the studies. In this meta-analysis, standardized mean difference (SMD) was employed as a measure to calculate effect sizes for continuous variables using a random effects model, while the meta-regression and subgroup analyses were performed with patient and intervention characteristics. A total of 31 studies revealed visual art therapy had a significant small-to-moderate effect on positive symptoms (SMD = 0.407, 95% CI 0.233 to 0.581), a moderate effect on negative symptoms (SMD = 0.697, 95% CI 0.514 to 0.880), a moderate effect on depression (SMD = 0.610, 95% CI 0.398 to 0.821), and a large effect on anxiety (SMD = 0.909, 95% CI 0.386 to 1.433). The subgroup analysis revealed painting and handcrafts had significant effects on positive symptoms, negative symptoms, and emotions. Combined Chinese calligraphy and painting had significant effects on positive symptoms, depression, and anxiety. Better improvement was noted among the Asian population, and a longer weekly treatment duration was associated with better improvement in positive symptoms. Female participants tended to have more improvements in negative symptoms and anxiety through visual art therapy. The results indicate that visual art therapy has positive effects on the psychiatric symptoms and emotions of individuals with schizophrenia. We recommend future research further investigate art therapy modalities and durations. Full article

With the soaring interest in art as an alternative investment approach and an asset class, there has been a remarkable rise in the volume of artwork transactions globally. However, trading in the art market differs from the traditional financial market; the cost of taxes, logistics, storage, and other transaction services is enormous for collectors, stimulating the emergence of related businesses, such as warehousing, bonded exhibitions, and art financial services. As an exceptional area serving the offshore economy, art freeports have become an essential venue for art trading and a ‘one-stop-shop’ centre that converges all art market participants. This article critically analyses the current literature and conducts empirical research on Shanghai FTZ International Culture Investment and Development Co., Ltd. (FTZART). It can be concluded that the current research on art freeports is limited and excludes FTZART from those that specialise in storing artworks, overlooking its potential influence in the Asian market. The art freeport has distinctive features that differ from traditional freeport models, and the context, business model, and operations of FTZART match these characteristics. Therefore, as a hub in the art market, the global art freeport agenda should not overlook FTZART, and it is essential to complement this gap in knowledge. Full article