Search Results (3,336)

Economic stability in emerging market economies is increasingly shaped by the interplay between global financial integration, domestic monetary dynamics, and asset price fluctuations. Yet, early detection of financial market disruptions remains a persistent challenge. This study constructs a Financial Stress Index (FSI) for Pakistan, utilizing monthly data from 2005 to 2024, to capture systemic stress in a globalized context. Using Principal Component Analysis (PCA), the FSI consolidates diverse indicators, including banking sector fragility, exchange market pressure, stock market volatility, money market spread, external debt exposure, and trade finance conditions, into a single, interpretable measure of financial instability. The index is externally validated through comparisons with the U.S. STLFSI4, the Global Economic Policy Uncertainty (EPU) Index, the Geopolitical Risk (GPR) Index, and the OECD Composite Leading Indicator (CLI). The results confirm that Pakistan’s FSI responds meaningfully to both global and domestic shocks. It successfully captures major stress episodes, including the 2008 global financial crisis, the COVID-19 pandemic, and politically driven local disruptions. A key understanding is the index’s ability to distinguish between sudden global contagion and gradually emerging domestic vulnerabilities. Empirical results show that banking sector risk, followed by trade finance constraints and exchange rate volatility, are the leading contributors to systemic stress. Granger causality analysis reveals that financial stress has a significant impact on macroeconomic performance, particularly in terms of GDP growth and trade flows. These findings emphasize the importance of monitoring sector-specific vulnerabilities in an open economy like Pakistan. The FSI offers strong potential as an early warning system to support policy design and strengthen economic resilience. Future modifications may include incorporating real-time market-based metrics indicators to better align the index with global stress patterns. Full article

Salinization of deep groundwater is a significant environmental and economic challenge in arid and desert zones, driven by both natural processes and human activities. Understanding the causes and dynamics of groundwater salinity is essential for protecting water quality and ensuring sustainable resource use. This study presents a novel approach, using hybrid artificial intelligence methods built upon enhanced ensemble decision tree models (EdTE-ML), including CatBoost (CatBR-m), ExtraTrees (ExTR-m), and custom Bootstrapping Regressor (BsTR-m), within a two-stage predictive framework. This study focuses on a deep, stressed aquifer in the oasis zone of Kebili, in southwestern Tunisia’s desert region. In the first stage, CatBR-m and ExTR-m served as base models, generating predictive features for the BsTR-m model in the second stage. Despite relying on limited hydrochemical data from a small number of wells, both base models produced satisfactory results. The BsTR-m model in the second stage outperformed individual models in terms of accuracy, generalization to unseen data, and spatial identification of salinity-affected zones. The proposed methodology accurately predicts groundwater salinity levels, providing an effective tool for early detection of water quality degradation. This predictive capability supports more proactive and sustainable groundwater management strategies in vulnerable desert aquifer systems. Full article

As a key economic tree in southern China, Camellia oleifera faces severe yield losses under drought. Grafting onto drought-tolerant rootstocks offers a potential mitigation strategy. To elucidate the impact of rootstocks on the drought resistance of the superior Camellia oleifera Abel. cultivar “Xianglin 210”, grafted seedlings with five scion–rootstock combinations, were subjected to gradient drought stress. Key physiological and biochemical indices related to photosynthesis, antioxidant enzymes, and osmotic adjustment were measured. Drought resistance was comprehensively evaluated using membership function analysis, and the expression of stress-responsive genes was quantified via quantitative real-time PCR (qRT-PCR). The results demonstrated that under drought stress, (1) stomatal conductance (Gs) decreased by 31.2–48.7%, while instantaneous water use efficiency (WUE) increased by 18.5–35.4%; (2) proline (Pro) and soluble sugars (SS) accumulated significantly, with increases of 2.3–4.1-fold and 1.8–3.2-fold, respectively; (3) activities of antioxidant enzymes were enhanced by 56–127%, mitigating oxidative damage; (4) membership function analysis ranked drought resistance as follows: Xianglin 27 (0.812) > Guangxi Superior Germplasm (0.698) > C. yuhsienensis (0.654) > Hunan Superior Germplasm (0.591) > Xianglin 1 (0.523); (5) qRT-PCR revealed significant upregulation of ABA signaling pathway genes (CoPYL6, CoPP2C75/51/24/26, CoSnRK2.8, and CoABI5) and transcription factors (CoLHY and CoWRKY70), indicating activation of drought-responsive regulatory networks. These findings provide a theoretical foundation for selecting drought-tolerant rootstocks and optimizing cultivation practices in Camellia oleifera, and provide practical criteria for selecting drought-tolerant rootstocks, facilitating sustainable Camellia oleifera cultivation in water-limited regions. Full article

(1) Background: Psychological distress causes increased smoking frequency. Thus, financial distress (FD), a type of psychological distress, during the COVID-19 pandemic recession is possibly associated with increased smoking frequency. We studied the association between disrupted employment or earnings-associated FD and the number of cigarettes smoked daily, as well as the effects of pre-pandemic regular monthly incomes on the association. (2) Methods: We retrieved the collected data from a former nationwide and community-based study regarding the psycho-socio-economic characteristics of Thai people during the third wave of the COVID-19 pandemic in Thailand in 2021. The participants for this study were current smokers aged ≥ 18 years. General demographics, perceived FD, and pre-pandemic regular monthly incomes were analyzed. Descriptive statistics and multivariate logistic regression with sampling weight adjustments were the analyses used (p < 0.05). (3) Results: 849 current smokers were suitable for statistical analyses. We found that 664 (12.9%) of participants experienced FD, but it did not significantly affect smoking frequency. However, those who had FD and regularly earning ≥ THB 10,000 ($271.11 US) per month was significantly associated with increased daily cigarette use, after adjusting for age and sex (adjusted OR = 2.74; 95% CI = 1.18, 6.37, p = 0.020). (4) Conclusion: FD alone did not affect daily smoking frequency. Understanding the psycho-socio-economic factors is necessary for smoking control during the COVID-19 economic recession. Full article

Hibiscus sabdariffa (H. sabdariffa) is a high-value economic and functional crop, limited by agroclimatic conditions and low technological adoption. This systematic review examines the current state of artificial intelligence applications in agricultural management, analyzing 2111 records, selecting 82, and synthesizing 22 studies that meet the inclusion criteria. This review adopts a holistic framework aligned with three priority areas in agriculture—resource and climate management, crop productivity and quality, and sustainability—to explore how AI addresses key challenges in the cultivation and post-harvest processing of Hibiscus sabdariffa. The results show a predominance of classical machine learning techniques, with limited implementation of deep learning models. The most common applications include image classification, yield prediction, and analysis of bioactive compounds. However, limitations remain in the availability of open data, reproducible code, and standardized metrics. The narrative synthesis identified clear opportunities to integrate emerging technologies, such as deep neural networks and the Internet of Things (IoT), particularly in water management and stress monitoring. The review concludes that strengthening interdisciplinary research and promoting data openness is key to achieving a more resilient, sustainable, and technologically advanced crop. Full article

The TIFY gene family participates in crucial processes including plant development, stress adaptation, and hormonal signaling cascades. While the TIFY gene family has been extensively characterized in model plant systems and agricultural crops, its functional role in Eucalyptus grandis, a commercially valuable tree species of significant ecological and economic importance, remains largely unexplored. In the present investigation, systematic identification and characterization of the TIFY gene family were performed in E. grandis using a combination of genome-wide bioinformatics approaches and RNA-seq-based expression profiling. Nineteen EgTIFY genes were identified in total and further grouped into four distinct subfamilies, TIFY, JAZ (subdivided into JAZ I and JAZ II), PPD, and ZML, based on phylogenetic relationships. These genes exhibited considerable variation in gene structure, chromosomal localization, and evolutionary divergence. Promoter analysis identified a multitude of cis-acting motifs involved in mediating hormone responsiveness and regulating abiotic stress responses. Transcriptomic profiling indicated that EgJAZ9 was strongly upregulated under methyl jasmonate (JA) treatment, suggesting its involvement in JA signaling pathways. Taken together, these results offer valuable perspectives on the evolutionary traits and putative functional roles of EgTIFY genes. Full article

Situated at the intersection of social history and psychology, this study examines how early Christian communities in Bithynia-Pontus navigated the persecution narrated in Pliny the Younger’s Epistle X 96. Through systematic textual analysis of Latin and Greek sources—triangulated with comparative evidence from Tacitus and corroborating archaeological data—and interpreted through Conservation-of-Resources and Social Identity theoretical frameworks, we reconstruct the repertoire of collective coping strategies mobilised under Roman repression. Our findings show that ritualised dawn assemblies, mutual economic assistance, and a theologically grounded expectation of post-mortem vindication converted external coercion into internal cohesion; these practices neutralised informer threat, sustained group morale, and ultimately expanded Christian networks across Asia Minor. Moreover, Pliny’s ad hoc judicial improvisations reveal the governor’s own bounded rationality, underscoring the reciprocal nature of stress between the persecutor and persecuted. By mapping the dynamic interaction between imperial policy and subaltern agency, the article clarifies why limited, locally triggered violence consolidated rather than extinguished the nascent movement. The analysis contributes a theoretically informed, evidence-based account of religious-minority resilience, enriching both early Christian historiography and broader debates on group survival under systemic duress. Full article

Hippophae rhamnoides ssp. sinensis Rousi a species of significant ecological and economic value that is native to the Qinghai–Tibet Plateau and arid/semi-arid regions. Investigating the mitochondrial genome can elucidate stress adaptation mechanisms, population genetic structure, and hybrid evolutionary history, offering molecular insights for ecological restoration and species conservation. However, the genetic information and evolutionary mechanisms of its mitochondrial genome remain poorly understood. This study aimed to assemble the complete mitochondrial genome of H. rhamnoides L. ssp. sinensis using Illumina sequencing, uncovering its structural features, evolutionary pressures, and environmental adaptability and addressing the research gap regarding mitochondrial genomes within the Hippophae genus. The study assembled a 454,444 bp circular mitochondrial genome of H. rhamnoides ssp. sinensis, with a GC content of 44.86%. A total of 73 genes and 3 pseudogenes were annotated, with the notable absence of the rps2 gene, which is present in related species. The genome exhibits significant codon usage bias, particularly with high-frequency use of the alanine codon GCU and the isoleucine codon AUU. Additionally, 449 repetitive sequences, potentially driving genome recombination, were identified. Our evolutionary pressure analysis revealed that most genes are under purifying selection, while genes such as atp4 and nad4 exhibit positive selection. A nucleotide diversity analysis revealed that the sdh4 gene exhibits the highest variation, whereas rrn5 is the most conserved. Meanwhile, phylogenetic analysis showed that H. rhamnoides ssp. sinensis from China is most closely related to Hippophae tibetana, with extensive homologous sequences (49.72% of the chloroplast genome) being identified between the chloroplast and mitochondrial genomes, indicating active inter-organellar gene transfer. Furthermore, 539 RNA editing sites, primarily involving hydrophilic-to-hydrophobic amino acid conversions, were predicted, potentially regulating mitochondrial protein function. Our findings establish a foundation for genetic improvement and research on adaptive evolutionary mechanisms in the Hippophae genus, offering a novel case study for plant mitochondrial genome evolution theory. Full article

Background and objectives: Overweight and obesity are global public health problems, as they increase the risk of chronic diseases, reduce quality of life, and generate a significant economic and healthcare burden. This study evaluates the capacity of nutritional patterns and psychological status to predict the presence of cardiometabolic risk among overweight and obese young adults, from a neural network approach. Method: The study included N = 188 overweight or obese students, who provided measures on their dietary intake, physical and psychological state, and sociodemographic profile. Neural networks were used to predict their metabolic status, classified into two categories based on anthropometric, biochemical, and cardiometabolic risk factors: metabolically unhealthy obesity (MUO) versus metabolically healthy obesity (MHO). Results: The predictive models demonstrated differences in specificity and sensitivity capacity depending on the criteria employed for the classification of MUO/MHO and gender. Among the female subsample, MUO was predicted by poor diet (low consumption of mineral and vitamins, and high consumption of fats and sodium) and high levels of depression and stress, while among the male subsample high body mass index (BMI), depression, and anxiety were the key factors. Protective factors associated to MHO were lower BMI, lower psychopathology distress and more balanced diets. Predictive models based on the HOMA-IR criterion yielded very high specificity and low sensibility (high capacity to identify MHO but low accuracy to identify MUO). The models based on the IDF criterion achieved excellent discriminative capacity for men (specificity and sensitivity around 92.5%), while the model for women obtained excellent sensitivity and low specificity. Conclusions: The results provide empirical support for personalized prevention and treatment programs, accounting for individual differences with the aim of promoting healthy habits among young adults, especially during university education. Full article

Climate change is a global crisis that disproportionately affects vulnerable agrarian communities, exacerbating food insecurity and health risks. This qualitative study explored the relationship between climate change and health in the following two rural sub-counties of Kilifi County, Kenya: Ganze and Magarini. In fall 2023, we conducted 16 focus group discussions with adolescent girls (14–17), young adults (18–30), and older adults (31+). Thematic analysis revealed that climate change adversely affects health through key social determinants, including economic instability, environmental degradation, limited healthcare access, food insecurity, and disrupted education. Participants reported increased food scarcity, disease outbreaks, and reduced access to medical care due to droughts and floods. Economic hardship contributed to harmful survival strategies, including transactional sex and school dropout among adolescent girls. Mental health concerns, such as stress, substance use, and suicidal ideation, were prevalent. These findings highlight the wide-ranging health impacts of climate change in agrarian settings and the urgent need for comprehensive, community-informed interventions. Priorities should include improving nutrition, reproductive and mental health services, infectious disease prevention, and healthcare access. Full article

Metropolitan areas worldwide are facing growing pressures, such as high population density, environmental degradation, and socio–economic challenges. Urban resilience has become a key focus in addressing these issues. This study explores the development of urban resilience research in metropolitan areas through a systematic review using the PRISMA method of SCOPUS-indexed articles. The review shows a significant annual increase in urban resilience studies, with three main themes clustered into environment, urban planning, and social–human dimensions. Highly cited research emphasizes urban concepts, resilience measurement of urban systems against various shocks, and resilience dimensions. Notably, metropolitan areas in Asia lead in urban resilience-related discussions, particularly in response to frequent and diverse shocks. Most studies apply quantitative methods at the city/metropolitan scale, using multi-dimensional resilience indicators. The literature highlights the distinct characteristics of Asian metropolitan regions compared to others, underlining the need to assess resilience not only in urban cores but also in peri-urban, desakota, and rural settings. These findings stress the importance of formulating policies that promote adaptive, sustainable and local ecosystem management to strengthen urban resilience across different metropolitan landscapes. Full article

Ammonia is widely regarded as the primary chemical pollutant responsible for fish toxicity in aquaculture. Scatophagus argus is an economically important euryhaline species extensively cultured in marine aquaculture. To investigate its physiological responses and molecular mechanisms under ammonia exposure, we determined the 96 h median lethal concentration (LC₅₀-96 h) of total ammonia nitrogen (TAN) for S. argus juveniles. Histopathological analyses were conducted at TAN concentrations of 0 (control), 30, and 60 mg/L, with transcriptomic analysis performed at 0 and 60 mg/L. The results showed that the LC₅₀-96 h for S. argus was 59.43 mg/L. Histological analysis revealed lamellar epithelial detachment and hepatocyte vacuolization in S. argus exposed to 60 mg/L TAN, indicating substantial structural impairment under ammonia stress. Transcriptomic profiling identified 245 differentially expressed genes (DEGs), comprising 142 upregulated and 103 downregulated genes. KEGG enrichment analysis indicated that DEGs were primarily enriched in energy metabolism and immune-related pathways. Key genes involved in glucose metabolism, amino acid metabolism, and cellular regulation (e.g., PFKM, PGM1, MAT2A, DDIT4) were significantly upregulated in energy metabolism pathways. In immune-related pathways, immune regulatory genes such as GIMAP4 and ARRDC3 were upregulated, while NAMLAA, associated with inflammatory modulation, was downregulated. Collectively, these transcriptional changes suggest that S. argus responds to external ammonia stress through coordinated regulation of energy metabolism and immune function. This study provides novel insights into the physiological and molecular strategies employed by S. argus in response to ammonia toxicity, offering a reference for environmental risk assessment and aquaculture management. Full article

Chili peppers, a staple spice in global cuisine, hold substantial economic value due to their diverse pungency levels and distinctive aromatic profiles. In addition to their sensory attributes, Capsicum fruits exhibit notable morphological diversity and potential health benefits. While contemporary Capsicum breeding efforts have focused on the yield, shelf life, and resistance to biotic and abiotic stresses, comparatively less emphasis has been placed on the fruit quality and flavor traits increasingly valued by consumers seeking novel flavors and functional foods. We evaluated seven underutilized Capsicum landraces collected from Peru, Myanmar, and Japan and conducted an integrative analysis of their morphological traits, nutritional composition, pungency, and volatile compounds. Our findings highlight C. chinense from Myanmar and Peru as a particularly diverse species, encompassing accessions with mild to very highly pungent, elevated antioxidant content, and significant contributions to fruity aromatic notes. These findings support the development of flavor-driven chili-pepper-based food products with enhanced nutritional value and tailored pungency. Our identification of beneficial alleles also offers opportunities for interspecific breeding to produce novel cultivars aligned with evolving consumer preferences, thereby supporting the commercialization of traditional varieties, conserving genetic resources, and expanding the market potential of new cultivars. Full article

This article investigates the combined effects of different common defects on the structural integrity and operational and environmental safety in the operation of an existing Light Cycle Oil (LCO) storage tank. This study correlates all the tank defects (like corrosion and local plate thinning, deformations, and local stress concentrators) against the loads and their combinations that occur during the tank’s lifetime. All the information gathered by various inspection techniques is used together to create a digital twin of the equipment that will be further analyzed by Finite Element Analysis. A tank condition assessment is a complex activity, and it is based on the experience of the engineer performing it. Since there are multiple methods for performing a comprehensive analysis, starting from the basic visual inspection (which is the most important) and some measurements followed by analytical calculations, up to full wall thickness measurements, 3D scan of deformations and FEA analysis of the tank digital twin, it depends on the engineer performing the evaluation to chose the best method for each particular case from technical and economical point of views. The goal of this article is to demonstrate that analytical and FEA methods have the same result and also to establish a well-determined standard calculation model for future applications. Full article

This study examines the role of algorithmic fairness in alleviating digital financial stress among consumers across OECD countries, utilizing panel data spanning from 2010 to 2023. By introducing a digital financial stress index—constructed from indicators such as household credit dependence, digital debt penetration, digital default rates, and financial complaint frequencies—the research quantitatively captures consumer financial anxieties within AI-driven e-commerce platforms. Employing two-way fixed-effects regression and system-GMM methods to address endogeneity and dynamic panel biases, findings robustly indicate that increased algorithmic fairness significantly reduces digital financial stress. Furthermore, the moderating analysis highlights digital literacy as a critical factor amplifying fairness effectiveness, revealing that digitally proficient societies derive greater psychological and economic benefits from equitable algorithmic practices. These results contribute to existing scholarship by extending discussions of algorithmic ethics from individual-level analyses to a macroeconomic perspective. Ultimately, this research underscores algorithmic fairness as a crucial policy lever for promoting consumer welfare, calling for integrated national strategies encompassing ethical algorithm governance alongside enhanced digital education initiatives within OECD contexts. Full article