Search Results (2,988)

In this study, we examine the critical question of whether global equity and bond assets (both green and non-green) offer effective hedging and safe haven properties against stock market risks in South Asia, with a focus on Bangladesh, India, Pakistan, and Sri Lanka. The increasing integration of global financial markets and the volatility experienced during recent economic crises raise important questions regarding the resilience of South Asian markets and the potential protective role of global assets. Drawing on methods like VaR and CVaR tail risk estimators, the DCC-GJR-GARCH time-varying connectedness approach, and cost-effectiveness tools for hedging, we analyze data spanning from 2014 to 2022 to assess these relationships comprehensively. Our findings demonstrate that stock markets in Bangladesh experience lower levels of downside risk in each quantile; however, safe haven properties from the global financial markets are effective for Bangladeshi, Indian, and Pakistani stock markets during the crisis period. Meanwhile, the Sri Lankan stock market neither receives hedging usefulness nor safe haven benefits from the same marketplaces. Additionally, global green assets, specifically green bond assets, are more reliable sources to ensure the safest investment for South Asian investors. Finally, the portfolio implications suggest that while traditional global equity assets offer ideal portfolio weights for South Asian investors, global equity and bond assets (both green and non-green) are the cheapest hedgers for equity investors, particularly in the Bangladeshi, Pakistani, and Sri Lankan stock markets. Moreover, these results hold significant implications for investors seeking to optimize portfolios and manage risk, as well as for policymakers aiming to strengthen regional market resilience. By clarifying the protective capacities of global assets, particularly green ones, our study contributes to a nuanced understanding of portfolio diversification and financial stability strategies within emerging markets in South Asia. Full article

Biomanufacturing enables novel sources of compounds with constant demand, such as food coloring and preservatives, as well as new compounds with peak demand, such as diagnostics and vaccines. The COVID-19 pandemic has highlighted the need for alternative sources of research materials, thrusting research on diversification of biomanufacturing platforms. Here, we show initial results exploring the walnut somatic embryogenic system expressing the recombinant receptor binding domain (RBD) and ectodomain of the spike protein (Spike) from the SARS-CoV-2 virus. Stably transformed walnut embryo lines were selected and propagated in vitro. Both recombinant proteins were detected at 3–14 µg/g dry weight of tissue culture material. Although higher yields of recombinant protein have been obtained using more conventional biomanufacturing platforms, we also report on the production of the red pigment betanin in somatic embryos, reaching yields of 650 mg/g, even higher than red beet Beta vulgaris. This first iteration shows the potential of biomanufacturing using somatic walnut embryos that can now be further optimized for different applications sourcing specialized proteins and metabolites. Full article

Agave salmiana Otto ex Salm-Dyck is an endemic Mexican plant distributed from 1230 to 2460 m above sea level, native to the arid zones of central and southern Mexico. It is a traditionally used species, with morphotypes ranging from wild to cultivated, with an ample cultural and management history. The species is important because it generates employment, and its products are used for self-consumption and are marketed as raw materials; however, little is known about its leaf anatomical description or studies that report the variation in its characters in terms of its level of management and its altitudinal gradient. To address this, we collected leaf samples from three localities of the Teotihuacan region in the State of Mexico (Mexico) and obtained anatomical leaf sections; with these, we also obtained thirty-eight parameters to quantitatively describe leaf anatomy. Thus, in this study, the general anatomical description of the leaf of Agave salmiana subsp. salmiana is presented. Unique leaf characters and others shared with the species of the genus were identified for the leaf of A. salmiana subsp. salmiana. In addition, significant variation was observed when comparing the three sampled localities (78.95%). From the analysis of anatomical characters, abaxial outer periclinal wall length, length of adaxial palisade parenchyma cells, fiber length, surface area of abaxial epidermal cells, width of abaxial palisade parenchyma cells, and total length of parenchyma in adaxial palisade were found to distinguish individuals from the three localities analyzed and the differences are related to management and altitude gradients. Full article

Facilitating the sustained and stable growth of farmers’ income is crucial for achieving sustainable development in forest regions. As an emerging driving force, the digital economy has demonstrated substantial potential in enhancing farmers’ income and promoting regional economic prosperity in forest areas. Based on survey data from 1043 households across 10 counties in Guizhou Province, China, this study empirically examined the direct and indirect effects of digital economy participation on income growth among farmers in forest regions. The findings revealed that, first, participation in the digital economy significantly contributed to income growth for these households. This effect remained robust across various estimation methods, restricted sample tests, and when replacing dependent variables. Second, forestry management and its diversification played a mediating role in the relationship between digital economy participation and farmers’ income. Participation in the digital economy indirectly influenced income growth by fostering forestry management activities and their diversification. Third, the heterogeneity analysis indicated that digital economy participation had a significant positive impact on the income growth of pure farming households, part-time farming households, and households that had previously escaped poverty. This discovery underscored the unique role of the digital economy in alleviating poverty and preventing its recurrence. The conclusions of this study provide essential theoretical and practical guidance for empowering forestry development through the digital economy and advancing the digital transformation of the forestry industry. More critically, this research presents a novel pathway for the deep integration of the digital economy with forestry, jointly fostering income growth for farmers in forest regions, which holds significant implications for achieving rural sustainable development. Full article

Our investigation, bolstered by the robust gravity trade model and panel data econometric technique, underscores the pivotal factors that influence trade interactions between Saudi Arabia and the BRICS nations—Brazil, Russia, India, China, and South Africa. The study, spanning from 1998 to 2023, delves into key economic metrics such as the gross domestic product, exchange rate fluctuations, inflationary trends, political conditions, and trade deals. We employ a range of econometric strategies, including pooled Ordinary Least Squares (OLS) and fixed effects models, to reveal that the GDP of BRICS states consistently and significantly impacts trade volumes. Specifically, a 1% increase in the GDP of partner countries correlates with a 0.37% rise in trade volume within the pooled OLS model. This effect amplifies to 1.43% when adjusting for temporal and country-specific factors in the fixed effects, underscoring the importance of accommodating unobserved heterogeneity, which refers to the unmeasured factors that can influence the relationship between GDP and trade volume. The political stability of BRICS nations mitigates transactional risks and promotes more stable trade relationships, thereby enhancing trade flows. Fluctuations in exchange rates exert positive and significant effects. This indicates that a more robust Saudi Riyal, an essential policy instrument, can enhance trade by increasing the competitiveness of Saudi exports. This study demonstrates that economic magnitude, political stability, and exchange rates affect Saudi Arabia’s trade with BRICS nations. These results bolster the Kingdom’s Vision 2030 objectives for economic diversification. This research advocates for stable political climates and strategic trade agreements to enhance trade relations. This study asserts that this approach will guarantee sustainable growth and diminish the Kingdom’s reliance on oil exports, instilling optimism in the Saudi economy. Full article

Recent studies have shown that, due to redundancy, some heads of the Transformer model can be pruned without diminishing the efficiency of the model. In this paper, we propose a constrained optimization algorithm based on Hebbian learning, which trains specific layers in the Transformer architecture in order to enforce diversification between the different heads in the multi-head attention module. The diversification of the heads is achieved through a single-layer feed-forward neural network that is added to the Transformer architecture and is trained with the proposed algorithm. We utilize the algorithm in three different architectural variations of the baseline Transformer model. In addition to the diversification of the heads, the proposed methodology can be used to prune the heads that capture redundant information. Experiments on diverse NLP tasks, including machine translation, text summarization, question answering and large language modeling, show that our proposed approach consistently improves the performance of baseline Transformer models. Full article

This article explores the emergence and development of Neo-santeria in Barcelona, a contemporary trend of Afro-Cuban religious practices characterized by the rejection of animal sacrifice, a central ritual in traditional Santeria. The study identifies and analyzes four key arguments employed by Neo-santeros to legitimize this rejection within the secular and modern European context: the scientistic, de-traditionalist, individualistic, and ecologist arguments. Drawing on over a decade of ethnographic research, the article demonstrates how Neo-santeros navigate the tension between distancing themselves from certain traditional spiritual roots—particularly the practice of animal sacrifice—and the intertwining with European and contemporary cultural logics, particularly those related to secularism. The article situates Neo-santeria within the broader landscape of European holistic spiritualities, highlighting its strategic positioning as a religion that aligns with and challenges secularist expectations in modern Europe. The findings contribute to a deeper understanding of how Afro-Cuban religions, particularly Neo-Santería, can be defined by the ongoing creativity of their practitioners. This distinctive feature not only defines the fluid nature of these traditions but also contributes to the diversification and increased complexity of the spiritual landscape in European contexts, where Afro-Cuban practices are being intertwined in local cultural and religious frameworks. Full article

The diversification of cropping sequences has a positive impact on soil organic carbon, while improving nutrient cycling and crop yields. The objective of this research was to assess amylase, cellulase, C and N dynamics, and maize yield on a low fertility oxisol in the Brazilian Cerrado. The experiment was conducted under field conditions during three maize crop succession cycles. The treatments consisted of cultivating maize during the summer, after sorghum and lablab cropped as green manure and fallow during the winter. Higher maize yields were achieved by sorghum–maize succession compared to monocropping, due to higher N fertilizer and biomass inputs to topsoil. Sorghum–maize succession also provided a higher proportion of stable C and N compared to other successions. Maize yields declined as tropical soil fertility intrinsically decreased along three crops succession cycles. Cellulase activity decreased over time, whereas amylase activity increased as the plant residues were already in advanced stages of decomposition. The sorghum–maize crop succession stood out compared to lablab and fallow as it provided the highest maize yields, while maintaining higher C and N levels, and amylase activity. This better performance was likely due to larger amounts of incorporated biomass and better mineral N fertilizer management. Full article

The understanding of distribution and the evolutionary scenario is crucial for the utilization and conservation of biological resources; nevertheless, such explorations rarely focus on macrofungi. The current study selects a macrofungal genus, Phylloporia, and explores its spatiotemporal pattern in China. A total of 117 available occurrence records of Phylloporia in China were summarized for the current analyses. Ensemble modeling supports the highly suitable habitat of Phylloporia concentrated in southern, especially southeastern, China, where the ancestor of Phylloporia originated 77.74 million years ago and then dispersed to other parts of China. Benefitting from the available suitable habitats, Phylloporia rapidly diversified after its divergence in Southeast China. Then, the net diversification rate slowed down when the rapidly diversifying species filled available niches in Southeast China and the dispersed species in other parts of China inhabited the less suitable and unsuitable habitats. During adaptive evolution, precipitation, temperature and the host plant are the major environmental variables that shape the spatiotemporal pattern of Phylloporia. In conclusion, the current study reveals the adaptive evolutionary scenario of Phylloporia and provides the first exploration of the spatiotemporal pattern of macrofungi. Full article

This study uses a hybrid model of the exponential generalised auto-regressive conditional heteroscedasticity (eGARCH)-extreme value theory (EVT)-Gumbel copula model to investigate the dependence structure between Bitcoin and the South African Rand, and quantify the portfolio risk of an equally weighted portfolio. The Gumbel copula, an extreme value copula, is preferred due to its versatile ability to capture various tail dependence structures. To model marginals, firstly, the eGARCH(1, 1) model is fitted to the growth rate data. Secondly, a mixture model featuring the generalised Pareto distribution (GPD) and the Gaussian kernel is fitted to the standardised residuals from an eGARCH(1, 1) model. The GPD is fitted to the tails while the Gaussian kernel is used in the central parts of the data set. The Gumbel copula parameter is estimated to be $\alpha =1.007$, implying that the two currencies are independent. At 90%, 95%, and 99% levels of confidence, the portfolio’s diversification effects (DE) quantities using value at risk (VaR) and expected shortfall (ES) show that there is evidence of a reduction in losses (diversification benefits) in the portfolio compared to the risk of the simple sum of single assets. These results can be used by fund managers, risk practitioners, and investors to decide on diversification strategies that reduce their risk exposure. Full article

Based on social capital theory, semi-structured interviews were conducted with farmers in Goulanyao Village, and content analysis was used to sort out the social capital status of local farmers and how social capital shaped their tourism livelihood willingness. The results show that farmers affect their tourism livelihood willingness through four paths: the social network path, social norm path, social trust path, and cultural identity path. The mutual promotion and restriction relationship between the social network path, social norm path, and social trust path leads to the gradient difference in farmers’ own social capital perception. Social capital and cultural identity jointly affect and determine the four modes of farmers’ tourism livelihood willingness: rapid acceptance, hesitant acceptance, hesitant rejection, and rapid rejection. The research results supplement the achievements of social capital in rural tourism research and provide a reference for promoting farmers’ tourism livelihood willingness and livelihood diversification. Full article

Ethnobotanical studies on foraging are essential for documenting neglected or previously unknown wild food plants, which may be crucial for promoting the diversification of food sources and contributing to food security and sovereignty. The Pashtuns of the Marwat tribe in NW Pakistan are renowned for their traditional customs and food systems. Studying the wild food plants (WFPs) and their associated bio-cultural diversity is quintessential for fostering food security and sovereignty in the region. The research presented here investigated the area’s wild food plants traditionally gathered and consumed. The field survey was conducted in 2023 with 87 study participants. A total of 41 plant species belonging to 24 botanical families was documented. The findings include food uses for Atriplex tatarica, Amaranthus graecizans, and Beta vulgaris subsp. maritima that have rarely been recorded in Pakistan. Moreover, the use of Citrulus colocynthus fruits in jam and Zygophyllum indicum leaves and stems in beverages are novel contributions to the gastronomy of NW Pakistan. The comparison with other food ethnobotanical studies conducted in North Pakistan suggests some similarities between the Lakki Marwat traditional WFPs and those from other semi-arid areas in North Pakistan, both Pashtun and non-Pashtun. While the findings underline the significant role of WFPs in local cuisine, we observed that this local knowledge is also threatened: the rapid spread of fast and industrialized food, modernization, and cultural dilution has led to an alarming reduction in these practices among the younger generations. Therefore, suitable measures to safeguard traditional plants, food knowledge, practices, and the associated culture are urgently needed. The urgency of this situation cannot be overstated, and it is crucial that we act now. Furthermore, preserving wild food plant-related cultural heritage may be fundamental to promoting food security and public health. Full article

Background/Objectives: Accipitridae mitogenomes exhibit unique structural variations, including duplicated control regions (CRs) that undergo gradual degeneration into pseudo-CRs, revealing a complex evolutionary landscape. However, annotation of this characteristic in a subset of accipitrid genomes is lacking. Due to the taxonomic diversity of Accipitridae and the presence of understudied species, comprehensive mitogenomic studies are essential. This study sought to expand and investigate the evolutionary characteristics of Accipitridae mitogenomes. Methods: A comparative analysis was conducted using the newly acquired complete mitogenomes of Haliastur indus and Accipiter badius poliopsis along with 22 available accipitrid mitogenomes. Codon usage, selective pressure, phylogenetic relationships, and structural variations were comparatively analyzed. Results: Accipitrid mitogenomes showed a strong AT bias with adenine preference. Most protein-coding genes (PCGs) were under purifying selection except for ND3, which underwent positive selection. The ATP8 gene exhibited relaxed purifying selection on codon usage patterns and showed high genetic variation. Selection for ATP8 and ND3 genes was specific to certain clades of accipitrids. Gene order re-examination revealed both non-degenerate CRs and highly degenerate CR2 fragments in the Accipitridae family. Non-degenerate CRs were found in early diverging species, such as Elanus caeruleus and Pernis ptilorhynchus orientalis, while more recent lineages had highly degenerate CR2 fragments with missing conserved element. Repeat motifs and sequence variations were observed in the functional CR. Conclusions: These findings suggest that ATP8 and ND3 genes reflect metabolic adaptations, while CRs indicate potential diversification of these accipitrid species. This study provides valuable insights into mitochondrial genome evolution within the Accipitridae family. Full article

Communication transmission in the near-Moon space is a critical enabler of scientific exploration in this region. However, the communication network in near-Moon space shows trends of diversification, heterogeneity, and collaboration, posing significant challenges to the management of an integrated communication network. This paper proposes a networking routing method for near-Moon-space cross-domain network transmission. Considering the constraints of heterogeneous networks including Moon–Earth, Moon–surface, and relay transmission, the method enhances transmission routing efficiency at the network layer of near-Moon-space systems, thereby improving the overall efficiency of heterogeneous network interactions. This research focuses on the networking routing of cross-domain networks. To simplify the research problem, a mixed link resource and scheduling model of heterogeneous networks is proposed. Based on this model, a time-varying and fixed topology network sub-network clustering method was designed to reduce the complexity of the routing algorithm. A routing scheduling algorithm is provided in combination with hierarchical routing search, and related experiments and comparisons were carried out. Finally, considering the practical issues of communication relay channels and rate limitations in relay satellites, time windows and communication rate constraints were used to enhance the reliability of the simulation validation. Simulation results show that this method effectively addresses the issue of low transmission interaction efficiency in heterogeneous networks within cislunar space. Compared with previous designs, it improves link load rate by 31%, reduces average service delay by 8%, and significantly enhances link stability and load rate. Full article

Using descriptive and inferential techniques together with simplified metrics derived from the ecological discipline, we offer a long-term investigation of the Environmental Sensitive Area Index (ESAI) as a proxy of land degradation vulnerability in Italy. This assessment was specifically carried out on a decadal scale from 1960 to 2020 at the province (NUTS-3 sensu Eurostat) level and benefited from a short-term forecast for 2030, based on four simplified assumptions grounded on a purely deterministic (‘what … if’) approach. The spatial distribution of the ESAI was investigated at each observation year (1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030) calculating descriptive statistics (central tendency, variability, and distribution shape), deviation from normality, and the increase (or decrease) in diversification in the index scores. Based on nearly 300 thousand observations all over Italy, provinces were considered representative spatial units because they include a relatively broad number of ESAI measures. Assuming a large sample size as a pre-requisite for the stable distribution of the most relevant moments of any statistical distribution—because of the convergence law underlying the central limit theorem—we found that the ESAI scores have increased significantly over time in both central values (i.e., means or medians) and variability across the central tendency (i.e., coefficient of variation). Additionally, ecological metrics reflecting diversification trends in the vulnerability scores delineated a latent shift toward a less diversified (statistical) distribution with a concentration of the observed values toward the highest ESAI scores—possibly reflecting a net increase in the level of soil degradation, at least in some areas. Multiple exploratory techniques (namely, a Principal Component Analysis and a two-way hierarchical clustering) were run on the two-way (data) matrix including distributional metrics (by columns) and temporal observations (by rows). The empirical findings of these techniques delineate the consolidation of worse predisposing conditions to soil degradation in recent times, as reflected in a sudden increase in the ESAI scores—both average and maximum values. These trends underline latent environmental dynamics leading to an early desertification risk, thus representing a valid predictive tool both in the present conditions and in future scenarios. A comprehensive scrutiny of past, present, and future trends in the ESAI scores using mixed (parametric and non-parametric) statistical tools proved to be an original contribution to the study of soil degradation in advanced economies. Full article