Search Results (945)

Transboundary fine particulate matter (PM2.5) in Southeast Asia is commonly assessed using static source–receptor frameworks or descriptive associations that may not resolve how directional dependence changes through time under shifting meteorological conditions. This study examines regional PM2.5 as a time-varying, meteorology-adjusted directional coupling system using monthly data for 2003–2024 from the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis, European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5) meteorological covariates, climate controls, and administrative aggregation. Using a rolling-window directed network framework based on Peter and Clark Momentary Conditional Independence (PCMCI) causal discovery, we inferred lagged conditional-dependence networks from covariate-adjusted PM2.5 anomalies and summarized their structure at national and first-order administrative levels. The inferred network structure varies over time but retains measurable continuity across rolling windows. At the country level, cross-border links consistently account for a large share of the directed structure, indicating that PM2.5 variability within the study domain is strongly shaped by transboundary coupling rather than by country-contained dynamics alone. A recurrent backbone of country-level directional coupling corridors emerges, including persistent links among China, Indonesia, Myanmar, and Thailand. At the first administrative level, stable gateways and receptor basins become more evident, especially the bidirectional coupling corridor between Yunnan Province, China, and Shan State, Myanmar, which appears throughout the full window sequence. These results show that subnational structure can reveal transport-relevant coupling patterns that national summaries may conceal. The framework provides an interpretable basis for corridor-oriented monitoring and regime-aware early warning, while the inferred links should be interpreted as directional statistical dependence rather than direct emissions attribution or resolved physical transport pathways. Full article

Marine incursions can profoundly alter biological input and environmental conditions in transitional sedimentary basins, yet their ecological effects remain insufficiently understood in the northern Central Myanmar Basin (CMB). Here, we investigate Upper Cretaceous to Eocene mudrocks from the northern CMB using integrated organic biomarker and elemental geochemical analyses to reconstruct biological precursors, depositional environments, and ecosystem responses during seawater incursions. The biomarker assemblages, including n-alkanes, isoprenoids, tricyclic terpanes, and C₂₇–C₂₉ regular steranes, indicate persistent mixed inputs of marine algal organic matter and terrestrial higher-plant debris. In particular, the upward increase in C₂₉ steranes from the Upper Cretaceous to the Eocene suggests a progressive strengthening of terrestrial input through time. Elemental proxies, including Sr/Ba, Th/U, Y/Ho, (Zn + Ni)/(Ga × 5), Sr/Cu, Rb/Sr, and V/(V + Ni), indicate that deposition occurred under marine-influenced, brackish to locally saline, warm–humid, and predominantly weakly reducing to reducing conditions. We interpret these patterns as evidence that marine incursions reorganized habitat conditions and biological input in a near-equatorial transitional ecosystem. The increasing contribution of terrestrial biomass was likely linked to the progressive uplift and exhumation of the Indo-Burman Ranges, which expanded exposed land area and enhanced the supply of land-derived organic matter to the basin. These results provide a biomarker-based perspective on how marine incursions and paleogeographic reorganization jointly shaped ecosystem dynamics and organic-matter preservation in the northern CMB. Full article

The taxonomy and distribution of Kaempferia subgen. Protanthium (Zingiberaceae) in Myanmar remain incompletely documented despite the botanical significance of the region. This study aims to clarify the diversity and taxonomic status of species belonging to this subgenus in Myanmar through field investigations and herbarium studies. Detailed morphological examinations of newly collected and previously documented specimens were conducted to evaluate diagnostic characters and species delimitation. As a result, Kaempferia kayinensis is described in this paper as a new species from Kayin State, southeastern Myanmar, and K. simaoensis Y.Y.Qian as a new country record. In addition, the taxonomic status of K. parishii Hook.f. is reassessed and reinstated based on morphological evidence, distinguishing it from K. ovalifolia Roxb. These findings confirm the presence of four species of Kaempferia subgen. Protanthium in Myanmar (K. kayinensis, K. parishii, K. rotunda, and K. simaoensis) and increase the number of known Kaempferia species in the country to twelve. The results highlight the importance of continued floristic and taxonomic studies to better document the diversity of Kaempferia in Myanmar. Full article

This paper examines how remittances-to-GDP are conditionally associated with GDP growth upswings and downturns in four lower-middle-income countries (LMICs) in mainland Southeast Asia—Cambodia, Laos, Myanmar, and Vietnam (CLMV)—over 2000–2021, conditional on other external inflows including foreign direct investment (FDI), official development assistance (ODA), and trade openness. Employing a nonlinear Autoregressive Distributed Lag (N-ARDL) model with a Dynamic Fixed Effects (DFE) estimator, this study estimates short- and long-run regime-differentiated associations between GDP growth regimes and remittances to GDP, controlling for foreign direct investment (FDI), official development assistance (ODA), and trade openness. GDP growth is decomposed into above- and below-median regimes, allowing the model to examine whether remittance dynamics differ across growth upswings and downturns. Panel estimates are complemented with dynamic multipliers that trace conditional adjustment paths over different horizons. The results reveal a high-growth-driven regime pattern rather than formal statistical evidence of unequal high- and low-growth coefficients. In the long run, above-median growth significantly reduces remittances to GDP (${\widehat{\theta }}_1=-0.130$, very strong evidence), consistent with the household insurance motive; below-median growth has no significant long-run association (${\widehat{\theta }}_2=-0.127$, no evidence). In the short run, above-median growth is positively associated with remittances (${\widehat{\tilde{\beta }}}_1^{+}=0.033$, very strong evidence), while below-median growth again shows no significant short-run response (${\widehat{\tilde{\beta }}}_1^{-}=0.051$, no evidence). Formal Wald tests do not reject equality between the high- and low-growth coefficients in either horizon; therefore, the findings should be interpreted as a regime-differentiated significance pattern within a nonlinear specification, not as formal proof of coefficient asymmetry. Taken together, these responses are consistent with a one-sided counter-cyclical interpretation of remittances: remittances to GDP decline when domestic growth is above the median, while no significant adjustment is observed during below-median growth episodes. The pattern documented here is therefore driven by the high-growth regime and should not be read as evidence of an active counter-cyclical surge during downturns. Trade openness and ODA exhibit significant positive short-run co-movement with remittances, whereas FDI shows a strong positive long-run association with remittances to GDP. The novelty of this study lies in providing new panel evidence on regime-differentiated remittance–growth associations for CLMV within a nonlinear N-ARDL and dynamic multiplier framework, while transparently reporting that formal Wald tests do not reject equality between high- and low-growth coefficients. Policy implications center on facilitating reliable remittance channels—reducing transfer costs and expanding financial inclusion—without assuming that remittance inflows automatically rise during downturns. Full article

Despite increasing academic interest in return migration, limited understanding remains of how individual resources, workplace experiences, and perceptions of the origin country interact to shape return migration intention among migrant workers in major industrial destinations. This study investigates return migration intention among Myanmar migrant workers in Samut Sakhon Province, Thailand, using a multilevel framework that links micro-level individual and household characteristics, meso-level workplace and social experiences, and macro-level assessments of conditions in Myanmar. A quantitative research design was employed, with data collected from 506 Myanmar migrant workers using proportional stratified random sampling. The data were analyzed using descriptive statistics, chi-square tests, t-tests, and binary logistic regression. The results indicate that the majority of respondents did not intend to return to Myanmar within the next 10–15 years. Workplace discrimination emerged as the strongest positive predictor of return migration intention, while higher income and annual remittance behavior also increased the likelihood of intending to return. Conversely, having family in Thailand, perceived opportunities for job change or promotion, satisfaction with wages and welfare, and perceived safety in Myanmar reduced the likelihood of return migration intention. The findings suggest that future mobility plans cannot be explained solely by economic calculation. They are also shaped by family arrangements, workplace treatment, and migrants’ assessments of the feasibility and desirability of return. The study advances return migration scholarship by demonstrating the pivotal role of workplace discrimination within a multilevel explanation of return migration intention. Full article

Faced with the challenges of cross-cultural communication of public opinion in emergency events, traditional sentiment recognition methods struggle to accurately capture the complex semantics under multi-lingual and multi-symbol systems. This paper takes the powerful 7.7-magnitude earthquake that struck Myanmar in 2025 as a case study. It constructs a multi-dimensional public opinion annotation framework that integrates four types of semantic information—time, space, subject, and sentiment—by extracting data from multi-source textual materials, including social media, news reports, and government announcements. Building on this foundation, we design an improved Model-Agnostic Meta-Learning (MAML) model that incorporates cultural features to enhance sentiment recognition performance in low-resource cross-linguistic scenarios. Experimental results show that the model outperforms traditional methods in terms of sentiment classification accuracy, cultural semantic deviation rate and metaphor recognition ability. Furthermore, the research reveals the coupling mechanism of public opinion communication of “cultural modulation–agenda game”, and clarifies the influence paths and weight distributions among multiple subjects. The research results provide theoretical support and practical paths for improving the governance capacity of cross-border public opinion in emergency events and the construction of multilingual monitoring models. Full article

Ginger possesses both significant edible and medicinal value. Sprouting of ginger is a critical phase that influences the yield and quality of the crop. While silica nanoparticles (SiNPs) are known to promote the growth of ginger, their impact on sprouting remains unclear. The results show that sprouting 100 mg L⁻¹ SiNPs (SiNP100) significantly improved ginger sprouting rate and respiratory intensity while reducing weight loss. It also elevated fructose, sucrose, and glucose contents, as well as sucrose phosphate synthase (SPS), sucrose synthase (SS), neutral invertase (NI), acid invertase (AI) activities, indicating that SiNP100 is associated with enhanced sprouting by modulating sugar metabolism. Concurrently, starch content decreased and α- and β-amylase activities increased. Hormonal profiling showed that SiNP100 increased auxin (IAA), trans-zeatin (TZR), isoamylalkenyladenin (IP), and gibberellic acid (GA₃) levels, while decreasing abscisic acid (ABA), further supporting its role in promoting sprouting. RNA-seq and RT-qPCR validated that SiNP100 significantly enriched the plant hormone signal transduction and starch and sucrose metabolism pathways, upregulating genes related to sugar transport and metabolism (ZoSweet7, ZoSSIVa, ZoSPS1, and ZoSUS5). Field trials over two consecutive years confirmed that SiNP100 application improved ginger growth, photosynthesis, antioxidant capacity, and ultimately yield and quality. This study demonstrated the potential of SiNPs to improve seed sprouting and promote ginger growth under field conditions. Full article

This paper examines the interaction between fiscal and monetary policies in Myanmar under ongoing political and economic uncertainty. We estimate a small open-economy New Keynesian DSGE model using Bayesian methods, combining the Kalman filter with Markov Chain Monte Carlo sampling on quarterly data from 2013Q1 to 2022Q1. The results show a persistent regime of monetary and fiscal policy conflict. While the central bank follows an active anti-inflationary interest rate rule that satisfies the Taylor principle, fiscal policy shows weak responsiveness to public debt, providing limited fiscal backing for monetary stabilization. As a result, monetary tightening aimed at controlling inflation exacerbates fiscal stress through the debt-service channel, undermining the overall effectiveness of macroeconomic stabilization. Political instability emerges as a key structural driver of macroeconomic fragility. Political shocks are highly persistent and are transmitted primarily through increases in the country risk premium, accounting for more than 50% of real exchange rate volatility and generating exchange rate depreciation, higher inflation, and output contraction. Overall, the findings indicate that monetary tightening alone is insufficient to restore macroeconomic stability in fragile and conflict-affected economies. Credible fiscal adjustment and improvements in political stability are necessary to contain external vulnerabilities and restore the effectiveness of monetary policy. Full article

On 28 March 2025, a Mw 7.7 earthquake struck central Myanmar, where rapid mapping of early impacts is crucial for post-earthquake assessment and emergency response. Existing nighttime light studies often emphasize single-scale brightness loss, with limited characterization of azimuthal differences within intensity zones and their coupling with population/building exposure, although these factors are essential for explaining spatially uneven earthquake impacts and for improving the interpretation of nighttime light loss patterns. This study integrates daily VIIRS nighttime lights (500 m) with USGS intensity and population/building density to build an intensity–azimuth framework with six directional sectors, quantify pre-/post-earthquake changes at county, patch, and pixel scales, apply bivariate LISA to detect local coupling patterns, and validate against CEMS Rapid Mapping. The results show clear scale complementarity: county aggregation robustly delineates the macro impact extent but smooths internal contrasts; pixel analysis captures fragmented disturbances yet is noise-sensitive; patch-based mapping best aligns with built-up areas at 500 m resolution and shows higher agreement with CEMS in well-lit urban areas. Azimuth–intensity patterns indicate more concentrated NTL reduction in north–south high-intensity zones (NTL = −0.53–−15.67 nW·cm⁻²·sr⁻¹), with local rebounds in some east–west sectors. The framework provides interpretable support for rapid loss assessment and priority-based resource allocation. Full article

This study developed and validated a curriculum-aligned instrument to assess preservice primary teachers’ geometric reasoning skills. Addressing the limited availability of domain-specific tools in teacher education research, the study examined preservice teachers’ conceptual strengths and weaknesses across key geometry domains relevant to primary mathematics teaching. A two-phase quantitative research design was employed. In Study 1, Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT) were used to evaluate the psychometric properties of the instrument with a sample of 221 preservice teachers, providing evidence of construct validity and internal consistency. Geometric reasoning was conceptualised as a four-factor structure comprising Conceptualisation of Geometric Properties (GP), Geometric Transformation Reasoning (GT), Reasoning with Representations of Three-Dimensional Objects (RE), and Measurement Reasoning (MS). In Study 2, the validated Geometric Reasoning Test (GRT) was administered to a larger sample of 406 preservice primary teachers from three education colleges in Myanmar. Descriptive statistics and group comparisons were conducted using Welch’s t-tests and Welch’s ANOVA to examine differences by gender, year level, and institution. The findings indicate that preservice primary teachers’ geometric reasoning remains underdeveloped across training stages, highlighting the need for greater emphasis on geometry and spatial reasoning in teacher education. Full article

Aiming at the significant variation in clay content within the orebody of the Letpadaung copper mine in Monywa, Myanmar, this study conducted comprehensive research on ore classification based on clay content and its impact on bio-heap leaching performance. Pressure filtration tests confirmed that clay content is a critical factor affecting ore permeability and copper leaching efficiency. Accordingly, a classification standard centered on clay content was established based on the ore properties of the Letpadaung Copper Mine, categorizing the ore into four types: low-clay ore (<3%), medium-clay ore Type 1 (3%–10%), medium-clay ore Type 2 (10%–25%), and high-clay ore (>25%). Corresponding differentiated stacking strategies were proposed and applied for the first time in industrial operations at a scale of several hundred thousand tons. Industrial practice results demonstrated that, compared with the unclassified mixed ore with a leaching efficiency of 45.92%, the implementation of classified heap leaching increased the copper leaching rates of low-clay ore and medium-to-high-clay ore to 68.07% and 63.41%, respectively. Moreover, multi-layer heap leaching within the same leaching unit showed consistent leaching efficiency across different layers after ore classification. These results further validate that ore classification based on clay content combined with differentiated heap leaching processes serves as a vital technical approach for ensuring efficient and stable heap leaching operations at the Letpadaung copper mine. Full article

A cross-sectional study was conducted with student teachers from four Education Degree Colleges located in Upper and Lower Myanmar. Drawing on the positive psychology framework, the predictive role of character strengths in flourishing was examined by integrating strengths self-efficacy (SSE) and resilience as parallel mediators. Participants (n = 1251, M_age = 20.84 years, SD = 1.28) were selected using stratified random sampling and completed four validated measures: VIA-72, SSE Scale, Connor–Davidson Resilience Scale 25, and Flourishing Scale. Correlational analyses revealed significant moderate positive associations between study variables. Using structural equation modeling, the results showed a direct predictive effect of character strengths on SSE, resilience, and flourishing. In addition, SSE and resilience partially mediated the relationship between character strengths and flourishing. Importantly, the indirect pathway through resilience was stronger than the SSE, indicating that the ability to adapt to challenges plays an essential role in linking character strengths with the flourishing of student teachers in the Myanmar Teacher Education setting, which practices a competency-based curriculum. Overall, supporting the strengths-based literature, the parallel mediational model of SSE and resilience contributes to a better understanding of how character strengths explain flourishing. The implications for Teacher Education and directions for future research are discussed. Full article

This paper examines how scam compounds, money mules and crypto-assets operate as interdependent elements of contemporary money-laundering chains. It assesses whether existing anti-money laundering (AML) and crypto-asset regulatory frameworks are capable of disrupting these chains holistically, rather than addressing individual components in isolation, with particular reference to scam-compound activity in Southeast Asia. The study adopts a qualitative comparative case-study methodology grounded in legal and regulatory analysis. Four empirically grounded cases are examined: two Southeast Asian scam-compound enforcement cases (Cambodia and Myanmar) and two European crypto-asset seizure cases (Ireland and Italy). Judicial decisions, enforcement actions and regulatory instruments are analysed through a chain-based analytical framework aligned with Financial Action Task Force (FATF) standards, the EU Markets in Crypto-Assets Regulation (MiCA) and the Anti-Money Laundering Authority (AMLA) framework. The analysis reveals a structural divergence in enforcement strategies: Southeast Asian responses increasingly prioritise network- and infrastructure-level disruption of scam compounds, whereas European approaches remain largely centred on post-offence crypto-asset seizure through traditional proceeds-of-crime mechanisms. Across all jurisdictions, money mules emerge as a critical yet systematically under-regulated intermediary layer enabling the resilience of crypto-laundering operations. The paper advances existing AML typologies by conceptualising scam compounds, money mules and crypto-assets as interconnected components of a single crypto-laundering chain. This chain-based perspective offers a novel analytical and regulatory lens for understanding organised crypto-enabled fraud. The study is based on a qualitative, case-based design and does not aim for statistical generalisation. However, the analytical framework developed is transferable to other jurisdictions experiencing similar scam-compound and crypto-laundering dynamics. The findings suggest that effective AML enforcement requires coordinated intervention across multiple nodes of the laundering chain, including scam compound infrastructure and money mule networks, alongside traditional asset-seizure mechanisms and CASP supervision. By highlighting the structural links between scam compounds, coercive labour and crypto-laundering mechanisms, the paper underscores the broader social harms of crypto-enabled fraud and the need for integrated regulatory responses that address both financial crime and human exploitation. Full article

Three novel alkaloids, penicitrioids A–C (1–3), and two known compounds (4–5) were isolated from the ethyl acetate (EtOAc) extract of the solid fermentation of Penicillium citrinum VDL118, an endophytic fungus harbored in the leaves of Vaccinium dunalianum Wight (Ericaceae), a perennial evergreen shrub native to the southwestern regions of China, Myanmar, and Vietnam. Compounds 1 and 2 are novel pyridine alkaloids characterized by an unprecedented dihydrofuro[3,4-c]pyridine core, while 3 features a distinct pyrrolo[3,4-c]pyridine framework. Their structures were unambiguously established by comprehensive spectroscopic analysis and electronic circular dichroism (ECD) calculations. In vitro antifungal assays revealed that compounds 1–5 exhibited moderate to potent inhibitory effects against five tested phytopathogenic fungi, with minimum inhibitory concentrations (MICs) ranging from 3.1 to 100 μg/mL. Notably, four of them (1–4) displayed broad-spectrum and potent activity against Gloeophyllum trabeum, Coriolus versicolor, Fusarium solani, and Botrytis cinerea, with MIC values as low as 3.1–12.5 μg/mL. Furthermore, a plausible biosynthetic pathway for compounds 1–3 was proposed. Full article

The genus Acanthosaura is characterized by a high level of cryptic species diversity and is subdivided into several species complexes. The phylogenetic relationships within the A. coronata complex remain unresolved due to the presence of cryptic lineages and limited molecular data for several species. In this study, these relationships are clarified using a molecular genetic analysis that integrates newly collected field samples and historical museum specimens with previously uncertain identification. Three mitochondrial genes (cyt b, COI, and ND2) from samples, including fresh collections of A. murphyi from Phu Yen Province (Vietnam) and museum specimens from Vietnam and Myanmar, were analyzed. In addition, morphological characters of the examined specimens with diagnostic traits of known species were compared. Phylogenetic analyses confirmed the distinct species status of A. murphyi and enabled the taxonomic reassignment of previously undetermined museum specimens to this species. Specimens from Vietnam and Myanmar formed a single, well-supported clade, suggesting a broader distribution for A. murphyi than previously recognized. It is demonstrated for the first time that A. murphyi belongs to the A. coronata complex, together with A. coronata and A. cuongi, a result consistently supported by both genetic distances and phylogenetic tree topology. Full article