Search Results (173)

Driven by both natural and anthropogenic factors, farmland abandonment and recultivation constitute complex and widespread global phenomena that impact the ecological environment and society. In the Inner Mongolia Yellow River Basin (IMYRB), a critical tension lies between agricultural production and ecological conservation, characterized by dynamic bidirectional transitions that hold significant implications for the harmony of human–nature relations and the advancement of ecological civilization. With the development of remote sensing, it has become possible to rapidly and accurately extract farmland changes and monitor its vegetation restoration status. However, mapping abandoned farmland presents significant challenges due to its scattered and heterogeneous distribution across diverse landscapes. Furthermore, subjectivity in questionnaire-based data collection compromises the precision of farmland abandonment monitoring. This study aims to extract crop phenological metrics, map farmland abandonment, and recultivation dynamics in the IMYRB and assess post-transition vegetation changes. We used Landsat time-series data to detect the land-use changes and vegetation responses in the IMYRB. The Farmland Abandonment and Recultivation Extraction Index (FAREI) was developed using crop phenology spectral features. Key crop-specific phenological indicators, including sprout, peak, and wilting stages, were extracted from annual MODIS NDVI data for 2020. Based on these key nodes, the Landsat data from 1999 to 2022 was employed to map farmland abandonment and recultivation. Vegetation recovery trajectories were further analyzed by the Mann–Kendall test and the Theil–Sen estimator. The results showed rewarding accuracy for farmland conversion mapping, with overall precision exceeding 79%. Driven by ecological restoration programs, rural labor migration, and soil salinization, two distinct phases of farmland abandonment were identified, 87.9 kha during 2002–2004 and 105.14 kha during 2016–2019, representing an approximate 19.6% increase. Additionally, the post-2016 surge in farmland recultivation was primarily linked to national food security policies and localized soil amelioration initiatives. Vegetation restoration trends indicate significant greening over the past two decades, with particularly significant increases observed between 2011 and 2022. In the future, more attention should be paid to the trade-off between ecological protection and food security. Overall, this study developed a novel method for monitoring farmland dynamics, offering critical insights to inform adaptive ecosystem management and advance ecological conservation and sustainable development in ecologically fragile semi-arid regions. Full article

Multidrug resistance (MDR) is an emerging global health concern worldwide, driving the need for innovative solutions. Herbal approaches are gaining attention and acceptance due to safer profiles and very few side effects. In this study, silver nanoparticles (VN-AgNPs) were synthesized using Vitex negundo, a medicinally valuable plant. A methanolic extract was prepared from Vitex negundo and the phytochemical evaluation confirmed the presence of flavonoids, alkaloids, and terpenoids, with quantitative analysis revealing high total phenolic content (TPC: 23.59 mg GAE/g) and total flavonoid content (TFC: 45.23 mg rutin/g), both maximized under microwave-assisted extraction (MAE). The antioxidant activity was also highest (18.77 mg AA/g). Characterization of the optimized extract by GC–MS identified various bioactive compounds. VN-AgNPs were synthesized using the aqueous leaf extract under specified conditions and were structurally characterized using many techniques and evaluated for antibacterial activity against four bacterial strains. VN-AgNPs exhibited significant antibacterial efficacy with inhibition zones measuring 16 ± 0.87 mm against Bacillus (Gram-positive), 15 ± 0.46 mm against E. coli (Gram-negative), 12 ± 0.64 mm against Pseudomonas (Gram-negative), and 11 ± 0.50 mm against Pectobacterium (Gram-negative plant pathogen). These findings highlight the efficacy of green-synthesized VN-AgNPs as a promising alternative to combat MDR pathogens, paving the way for sustainable and effective antimicrobial strategies. Full article

Feeding Allium mongolicum Regel (AMR) could improve lamb growth, immunity, and antioxidant capacity. These effects were supposed to be mediated by the rumen microbiota, as reported in our previous studies, but further verification is required. The purpose of this study was to verify whether changes in serum immunity, antioxidant, and biochemical indicators of meat sheep mediated by AMR are achieved via rumen microbiota regulation. The experiment included two phases. In phase I, twelve 90-day-old male lambs (25 ± 1 kg) were used as rumen fluid donors and consumed a basal diet with 15 g/day AMR for 135 days to induce changes in their rumen microbiota. In phase II, thirty 90-day-old male lambs (23 ± 2 kg) were split into three groups (n = 10 each): the control group (CON) fed the basal diet; the AMR-supplemented group (AMG) fed the basal diet supplemented with 15 g/day of AMR; and the rumen fluid recipient group (RTG) fed the basal diet and received rumen fluid transplantation. The CON and AMG groups received four oral infusions of 250 mL saline, while the RTG group received four oral infusions of 250 mL donor rumen fluid. Phase II lasted for 75 days, and the blood samples were collected on the last day. Rumen fluid transplantation was performed every 15 days, with a total of four infusions of 250 mL each. The results showed that the final body weight and average daily gain (ADG) of the AMG and RTG groups were higher than those of the CON group (p < 0.05), while there were no significant differences between the AMG and RTG groups (p > 0.05). On day 30, the levels of interleukin-10 (IL-10), immunoglobulin A (IgA), immunoglobulin M (IgM), and immunoglobulin G (IgG) in the AMG and RTG groups were increased (p < 0.05), and malondialdehyde (MDA) was significantly decreased (p < 0.05), with no significant differences between the AMG and RTG groups. On day 60, total antioxidant capacity (T-AOC), IgM, IgG, and catalase (CAT) were increased in the AMG and RTG groups, while tumor necrosis factor alpha (TNF-α), low-density lipoprotein cholesterol (LDL-C), and blood urea nitrogen (BUN) were decreased (p < 0.05), and there were no significant differences between the AMG and RTG groups (p > 0.05). High-density lipoprotein cholesterol (HDL-C) in the RTG group was significantly lower than in the CON and AMG groups, while the AMG group had significantly higher HDL-C than the CON group (p < 0.05). Microbial analysis indicated that Mitsuokella, VUNI01, and Caecibacter were positively correlated with IgM; Mitsuokella, CAG 791, Desulfovibrio R, Porcincola, VUNI01, and UBA 7741 were negatively correlated with TNF-α; CAG 791 was positively correlated with T-AOC; VUNI01 was positively correlated with CAT; MDA was negatively correlated with Mitsuokella; Allisonella and UBA 7741 were negatively correlated with HDL-C; and Porcincola, VUNI01, Allisonella, and UBA 7741 were negatively correlated with LDL-C. Therefore, the study indicates that both supplementation with AMR and transplantation of rumen fluid from sheep fed with AMR can enhance the immunity and antioxidant capacity of lambs by increasing the abundance of the aforementioned bacteria. It also verified that the improvement in immunity and antioxidant capacity mediated by Allium mongolicum Regel is driven by the rumen microbiota. Full article

Emerging and persistent contaminants (EPCs) were detected at high concentrations in Chiang Mai’s Mae Kha Canal, identifying urban waterways as important sources of pollution in the Ping River system in northern Thailand. Maximum levels of metformin (20,000 ng/L), fexofenadine (15,900 ng/L), gabapentin (12,300 ng/L), sucralose (38,000 ng/L), and acesulfame (23,000 ng/L) point to inadequately treated wastewater as a plausible contributor. Downstream enrichment patterns relative to upstream sites highlight the cumulative impact of urban runoff. Five compounds—acesulfame, gemfibrozil, fexofenadine, TBEP, and caffeine—consistently emerged as reliable tracers of urban wastewater, forming a distinct chemical fingerprint of the riverine exposome. Median EPC concentrations were highest in Mae Kha, lower in other urban canals, and declined with distance from the city, reflecting spatial gradients in urban density and pollution intensity. Although most detected concentrations fell below predicted no-effect thresholds, ibuprofen frequently approached or exceeded ecotoxicological benchmarks and may represent a compound of ecological concern. Non-targeted analysis revealed a broader “chemical cocktail” of unregulated substances—illustrating a witches’ brew of pollution that likely escapes standard monitoring efforts. These findings demonstrate the utility of wide-scope surveillance for identifying key compounds, contamination hotspots, and spatial gradients in mixed-use watersheds. They also highlight the need for integrated, long-term monitoring strategies that address diffuse, compound mixtures to safeguard freshwater ecosystems in rapidly urbanizing regions. Full article

This article examines the evolution and potential cross-cultural adaptations of the “Goddess of the Flaming Mouth”, Jvālāmukhī (Skt.) or Kha ‘bar ma (Tib.), in Indic and Tibetan traditions. A minor figure in medieval Hindu Tantras, Jvālāmukhī is today best known through her tangible manifestation as natural flames in a West Himalayan temple complex in the valley of Kangra, Himachal Pradesh, India. The gap between her sparse portrayal in Tantric texts and her enduring presence at this local “seat of power” (śakti pīṭha) raises questions regarding her historical development and sectarian affiliations. To address these questions, we examine mentions of Jvālāmukhī’s Tibetan counterpart, Kha ‘bar ma, across a wide range of textual sources: canonical Buddhist texts, original Tibetan works of the Bön and Buddhist traditions, and texts on sacred geography. Regarded as a queen of ghost spirits (pretas) and field protector (kṣetrapāla) in Buddhist sources, her portrayal in Bön texts contain archaic motifs that hint at autochthonous and/or non-Buddhist origins. The assessment of Indic material in conjunction with Tibetan texts point to possible transformations of the goddess across these culturally proximate Himalayan settings. In presenting and contextualizing these transitions, this article contributes critical data to ongoing efforts to map the development, adaptation, and localization of Tantric deities along the Indo-Tibetan interface. Full article

Glancing Angle Deposition (GLAD) has emerged as a versatile and powerful nanofabrication technique for developing next-generation gas sensors by enabling precise control over nanostructure geometry, porosity, and material composition. Through dynamic substrate tilting and rotation, GLAD facilitates the fabrication of highly porous, anisotropic nanostructures, such as aligned, tilted, zigzag, helical, and multilayered nanorods, with tunable surface area and diffusion pathways optimized for gas detection. This review provides a comprehensive synthesis of recent advances in GLAD-based gas sensor design, focusing on how structural engineering and material integration converge to enhance sensor performance. Key materials strategies include the construction of heterojunctions and core–shell architectures, controlled doping, and nanoparticle decoration using noble metals or metal oxides to amplify charge transfer, catalytic activity, and redox responsiveness. GLAD-fabricated nanostructures have been effectively deployed across multiple gas sensing modalities, including resistive, capacitive, piezoelectric, and optical platforms, where their high aspect ratios, tailored porosity, and defect-rich surfaces facilitate enhanced gas adsorption kinetics and efficient signal transduction. These devices exhibit high sensitivity and selectivity toward a range of analytes, including NO₂, CO, H₂S, and volatile organic compounds (VOCs), with detection limits often reaching the parts-per-billion level. Emerging innovations, such as photo-assisted sensing and integration with artificial intelligence for data analysis and pattern recognition, further extend the capabilities of GLAD-based systems for multifunctional, real-time, and adaptive sensing. Finally, current challenges and future research directions are discussed, emphasizing the promise of GLAD as a scalable platform for next-generation gas sensing technologies. Full article

In the present study, a photodegradation technique was employed for the removal of methylene blue dye from aqueous solution using a tungsten oxide-based photocatalyst. The photocatalyst was synthesized via a green synthesis route utilizing a plant extract (PE) under acidic conditions. The synthesized photocatalyst was characterized by various spectroscopic and microscopic techniques that confirmed the presence of various functional groups on the catalyst surface and revealed a narrow bandgap of ~3.0 eV. The synthesized particles exhibited a nanoscale dimension ranging from 10 to 15 nm. The photocatalytic activity of the material was evaluated under ultraviolet light, visible light, and sunlight irradiation, demonstrating the efficient degradation of methylene blue under all light sources. Furthermore, catalysis reusability studies indicated excellent stability, with consistent photocatalytic performance observed after five successive cycles. Full article

This review explores the evolving landscape of sustainable textile manufacturing, with a focus on rubber-based materials for various industrial applications. The textile and rubber industries are shifting towards eco-friendly practices, driven by environmental concerns and the need to reduce carbon footprints. The integration of sustainable textiles in rubber-based products, such as tires, conveyor belts, and defense products, is becoming increasingly prominent. This review discusses the adoption of natural fibers like flax, jute, and hemp, which offer biodegradability and improved mechanical properties. Additionally, it highlights sustainable elastomer sources, including natural rubber from Hevea brasiliensis and alternative plants like Guayule and Russian dandelion, as well as bio-based synthetic rubbers derived from terpenes and biomass. The review also covers sustainable additives, such as silica fillers, nanoclay, and bio-based plasticizers, which enhance performance while reducing environmental impact. Textile–rubber composites offer a cost-effective alternative to traditional fiber-reinforced polymers when high flexibility and impact resistance are needed. Rubber matrices enhance fatigue life under cyclic loading, and sustainable textiles like jute can reduce environmental impact. The manufacturing process involves rubber preparation, composite assembly, consolidation/curing, and post-processing, with precise control over temperature and pressure during curing being critical. These composites are versatile and robust, finding applications in tires, conveyor belts, insulation, and more. The review also highlights the advantages of textile–rubber composites, innovative recycling and upcycling initiatives, addressing current challenges and outlining future perspectives for achieving a circular economy in the textile and rubber sectors. Full article

The Mae Kha Canal in Chiang Mai, Thailand, has long suffered from severe water quality deterioration due to rapid urbanization, population growth, and inadequate waste management practices. This article describes an integrated water resource management approach, started in February 2018, with the goal of guaranteeing sustainable urban living conditions and improving the water quality of the canal. This study was a quasi-experimental study, with key interventions including garbage net installation, coconut-fiber mattress weir installation, and Free Water Surface Wetland treatment using vetiver grass. An interrupted time-series analysis of the monthly biochemical oxygen demand (BOD) and dissolved oxygen (DO) levels were applied to examine the trends and changes after the full implementation of wastewater management in March 2021. The results demonstrated significant improvements in water quality, indicated by reduced BOD levels (from 17.00–38.70 to 9.00–12.67 mg/L) and increased DO levels (from 0.00–2.40 to 0.80–6.00 mg/L). However, the decreases in BOD and increases in DO levels were not stable during the year. The post-intervention trend of BOD level decreased after the wastewater management implementation at SriDonChai Road (coefficient of trend: = −0.75 [95% confidence interval: −1.44 to −0.06]). This project highlights the effectiveness of integrated management strategies in addressing urban water quality issues and emphasizes the importance of community involvement in sustainable environmental management. The findings underscore the necessity for integrated approaches to wastewater management in urban environments to address both ecological health and public welfare. Full article

Tantalum metal and tantalum oxide thin films are commonly used in semiconductor devices, protective coatings, and biomedical implants. However, there is limited information on their nanotribological behavior and small-scale mechanical properties. This study characterized the chemical, mechanical, and tribological properties of as-deposited and 400 °C annealed β-Ta thin films using nanoindentation and atomic force microscope (AFM)-based nanoscale friction and wear tests. X-ray photoelectron spectroscopy (XPS) results revealed that a thermally grown Ta oxide layer forms on the surface of Ta film after being annealed at 400 °C. The nanoindentation data indicated an increase in both the hardness and elastic modulus in the heat-treated sample compared to the as-deposited Ta film (13.1 ± 1.3 GPa vs. 12.0 ± 1.4 GPa for hardness) and (213.1 ± 12.7 GPa vs. 175.2 ± 12.3 GPa for elastic modulus). Our nanotribological results show that the friction increased and wear resistance decreased on the surface of the annealed sample compared to the as-deposited Ta film. This discrepancy may be caused by the oxidation of Ta on the film surface, which induces residual compressive stresses in the film and degrades its wear resistance. Our results highlight the influence of thermal annealing and oxidation on nanotribological behavior and small-scale mechanical properties of Ta thin films. Full article

Accurate mapping of rice planting areas is of great significance in terms of food security and market stability. However, the existing research into high-resolution rice mapping has relied heavily on fine-scale temporal remote sensing image data. Due to cloud occlusion and banding problems, data extraction from Landsat series remote sensing images with medium spatial resolution is not optimal. Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. The proposed LR method initially generated rice distribution maps based on phenology, and 300 sample points were selected for meta-identification of rice images via an enhanced pixel-based phenological feature composite method (Eppf-CM) utilizing high-resolution imagery. Subsequently, the inundation frequency (F) and an improved sample point statistical feature, i.e., the ratio of change amplitude of LSWI to NDVI (RCLN), were introduced to combine Eppf-CM with combined consideration of vegetation phenology and surface water variation (CCVS) methods, to automate the generation of training data with the aid of phenology. The sample data were optimized by an alternate iterative method involving extraction of neighborhood information. Finally, a random forest (RF) probabilistic model trained by integrating data from different phenological periods was used for rice mapping. To test its performance, we mapped rice distribution at 30 m resolution (“LR_Rice”) across Heilongjiang Province, China from 2010 to 2022, with annual overall accuracy (OA) and Kappa coefficients greater than 0.97 and 0.95, respectively, and compared them with four existing rice mapping products. The spatial distribution characteristics of rice cultivation extracted by the LR algorithm were accurate and the performance was optimal. In addition, the extracted area of LR_Rice was highly consistent with the agricultural statistical area; the coefficient of determination R² was 0.9915, and the RMSE was 22.5 kha. The results show that this method can accurately obtain large-scale rice planting information, which is of great significance for food security, water resource management, and environmentally sustainable development. Full article

Understanding the modulation of specific immune cells within the tumor microenvironment (TME) offers new hope in cancer treatments, especially in cancer immunotherapies. In recent years, immune modulation and resistance to immunotherapy have become critical challenges in cancer treatments. However, novel strategies for immune modulation have emerged as promising approaches for oncology due to the vital roles of the immunomodulators in regulating tumor progression and metastasis and modulating immunological responses to standard of care in cancer treatments. With the progress in immuno-oncology, a growing number of novel immunomodulators and mechanisms are being uncovered, offering the potential for enhanced clinical immunotherapy in the near future. Thus, gaining a comprehensive understanding of the broader context is essential. Herein, we particularly summarize the paradoxical role of tumor-related immune cells, focusing on how targeted immune cells and their actions are modulated by immunotherapies to overcome immunotherapeutic resistance in tumor cells. We also highlight the molecular mechanisms employed by tumors to evade the long-term effects of immunotherapeutic agents, rendering them ineffective. Full article

Carbon materials derived from lignocellulosic biomass (LCB) precursors have emerged as sustainable and versatile candidates, exhibiting outstanding properties for energy storage applications. This study presents an innovative and cost-efficient approach to produce graphitic carbon from an LCB precursor (pinecone) using an optimized hydrothermal treatment process followed by carbonization and graphitization. The developed pinecone-derived graphitic carbon (PDGC) was analyzed using X-ray diffraction (XRD), transmission electron microscopy (TEM) and scanning electron microscopy (SEM). XRD analysis confirmed the formation of a graphitic phase, indicated by a sharp and intense (002) peak, decreased interplanar spacing (d₀₀₂), increased crystallite size (L_c~20.4 nm), and a high degree of graphitization (g~0.7), closely aligning with the characteristics of pure graphite. Additionally, TEM and SEM micrographs revealed a flake-like morphology with well-defined, continuous, and extended graphitic layers within the PDGC structure. The distinctive structural attributes of the developed material position it as a promising candidate for batteries and capacitors, while also serving as a model for converting LCB into advanced carbon materials. Full article

Understanding how crises like the COVID-19 pandemic affect variable annuity pricing is crucial, especially in emerging markets like India. The motivation is that financial stability and risk management in these markets depend heavily on accurate pricing models. While prior research has primarily focused on Western markets, there is a significant gap in analyzing the impact of extreme volatility and regime-dependent dynamics on variable annuities in emerging economies. This study investigates how regime shifts during the COVID-19 pandemic influence variable annuity pricing in the Indian stock market, specifically using the Nifty 50 Index data from 7 September 2017 until 7 September 2023. Advanced methodologies, including regime-switching hidden Markov models, artificial neural networks, and Monte Carlo simulations, were applied to analyze pre- and post-COVID-19 market behavior. The regime-switching hidden Markov models effectively capture latent market regimes and their transitions, which traditional models often overlook, while neural networks provide flexible functional approximations that enhance pricing accuracy in highly non-linear environments. The Expectation–Maximization (EM) algorithm was employed to achieve robust calibration and enhance pricing accuracy. The analysis showed significant pricing variations across market regimes, with heightened volatility observed during the pandemic. The findings highlight the effectiveness of regime-switching models in capturing market dynamics, particularly during periods of economic uncertainty and turbulence. This research contributes to the understanding of variable annuity pricing under regime-dependent dynamics in emerging markets and offers practical implications for improved risk management and policy formulation. Full article

Medicinal plants remain vital in the Phu Tai community in Amnat Charoen in Thailand. Traditional healers’ knowledge is largely undocumented in the literature. Our objective was to document their medicinal plant practices to preserve this valuable knowledge. Our informants were 15 Phu Tai healers. We calculated use values (UV), family importance values (FIV), and informant agreement ratios (IAR) to gauge the significance of the 211 medicinal plants used by the healers. The most important plant families were Fabaceae and Zingiberaceae (FIV = 93). Kha min (Curcuma longa) was the most important medicinal species (UV = 0.66). The decoction was the most common preparation method (85%). Skin/subcutaneous cellular tissue disorders had the highest informant agreement ratio (IAR = 0.73). Shrubs were the most common life form (36%) among the medicinal plants; the majority were collected from community forests (51%) and were native to Thailand (86%). The most frequently used plant part for medicine was the leaf (27%). Medicinal plants that can be purchased were Ueang mai na (Hellenia speciosa), Thep tharo (Cinnamomum parthenoxylon), and Som khon (Talinum paniculatum). Interestingly, monks served as traditional healers. The healer’s age and education were not correlated with the number of medicinal plants they knew. The Amnat Charoen healers possess a rich traditional knowledge of medicinal plants. The information reported here is invaluable for further research in the field of cross-cultural ethnobotany and ethnopharmacology. Full article