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Found 6374 publications
Ecological Impacts of Cultivated Land Conversion and Urban Eco-Resilience in the COP29 Era
Publication Name: Land Degradation and Development
Publication Date: 2025-12-01
Volume: 36
Issue: 18
Page Range: 6237-6254
Description:
In the COP29 era, food security is crucial. The urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) in China must ensure both food and ecological security. Analyzing the transformation of agricultural land use patterns and their ecological impacts over space and time is essential for improving regional ecological protection and promoting high-quality development. This study starts from the perspective of cropland conversion and is based on data from 31 cities in China's city cluster in the UAMRYR from 2002 to 2022. It analyzes the spatial and temporal distribution of land use structure and cropland conversion, and explores the ecological effects of cropland conversion using a panel fixed model. The results of the study show that: (1) From 2002 to 2022, the spatial distribution pattern of land use in the UAMRYR remained consistent overall, with arable land and forest land dominating, and a significant increase in the area of impervious surfaces. (2) Relative to 2002, the area of arable land transferred out accounted for 11.997% of the total arable land and the area of arable land transferred in accounted for 12.755% of the total arable land. Overall, there is a trend of expansion in arable land. (3) The overall level of urban eco-resilience shows a steady increasing trend, with Jiangxi Province having the best urban eco-resilience, followed by Hunan Province and Hubei Province. (4) The inflow and net increase of cultivated land area play a positive role in promoting urban eco-resilience, while the outflow and conversion to impervious surfaces suppress the ecosystem's resilience against risks. This study conducts a sustained investigation into the ecological effects of cropland conversion across multiple cities, providing empirical evidence to enhance environmental quality and optimize the rational allocation of land resources.
Open Access: Yes
DOI: 10.1002/ldr.70080
Correction: A novel numerical investigation of fiber Bragg gratings with dispersive reflectivity having polynomial law of nonlinearity (Scientific Reports, (2025), 15, 1, (31110), 10.1038/s41598-025-12437-1)
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-025-12437-1, published online 24 August 2025 The original version of this Article contained an error in the name of author Mansour Shrahili, which was incorrectly given as Mansour Shrahilii. The original Article has been corrected.
Open Access: Yes
Reconstructing the Definition of Space Debris
Publication Name: Air and Space Law
Publication Date: 2025-12-01
Volume: 50
Issue: 6
Page Range: 537-558
Description:
The international community has realized that space debris is a global concern that should be addressed with a sense of urgency. Keeping in mind the limitations of the prevailing normative framework, the optimal solution would be to address the problem by way of universal lawmaking. However, any universal lawmaking effort presupposes the creation of a uniform definition of space debris. Non-binding international standards and national documents currently contain a variety of definitions. The coexistence of divergent definitions may lead to fragmentation and legal uncertainty, and their restrictive approach may become untenable as humankind ventures deeper into outer space. Based upon these considerations and adopting a proactive mindset, the present paper aims to re-evaluate the prevailing definitions with a view to proposing a comprehensive, feasible and durable definition covering all extant and future forms of space debris. The analysis commences with an overview of selected universal, regional and national definitions. This is followed by the identification, reassessment and possible revision of shared elements of the definitions concerned. The reassessed and revised elements are then assembled to propose a new definition to contribute to the ongoing discussion on space debris.
Open Access: Yes
DOI: 10.54648/aila2025059
A comprehensive narrative review on precision medicine approach to hypertension: exploring the role of genetics, epigenetics, microbiome, and artificial intelligence
Publication Name: Journal of Health Population and Nutrition
Publication Date: 2025-12-01
Volume: 44
Issue: 1
Page Range: Unknown
Description:
Background: Hypertension (HTN) impacts approximately 1.28 billion individuals globally and poses a great burden of disease. The objectives of this study are to explore the role of genetics, epigenetics, microbiome, and artificial intelligence (AI) in the management of HTN. A thorough literature search was conducted across various databases including PubMed, Google Scholar, Web of Science (WoS), and Medline to retrieve articles related to the role of genetics, epigenetics, microbiome, and AI in the precision medicine of HTN. Genes—including ACE, NOS3, ADD1, CYP11B2, NPPA, and NPPB—have a profound impact on blood pressure (BP) regulation in our body and polymorphism in these key genes can lead to HTN. Up or down-regulation of genes by epigenetic factors such as miRNA-155, miRNA-210, and miRNA-122 can significantly contribute to the development of HTN. These genetic and epigenetic factors can also be used as specific targets for gene editing and gene therapy for long-term management of HTN. However, the implementation of these techniques has not been possible in clinical settings due to lack of human studies and safety concerns related to unpredictable DNA alterations, nucleotide deletions, and loss of allele-specific chromosomes. Modulation of gut microbiome through oral supplements, fecal microbiota transplant (FMT), and dietary interventions has emerged as one the most effective and safe techniques for managing HTN in human models. AI-based cutting-edge models have helped curate personalized diet plans based on an individual’s unique microbiome, genomic information, and physiological conditions leading to a reduction in BMI, fat, BP, and heart rate while improving overall cardiac health and gut microbial diversity. Despite the significant advantages offered by AI-based medicine, ethical concerns—related to data privacy, bias, and discrimination—and ineffective models have led to limited integration of AI in precision medicine of HTN. The integration of genetics, epigenetics, microbiome, and AI-based models can play a key role in improving the current landscape of precision medicine of HTN. These cutting-edge techniques can lead to a shift from the current one-size-fits all approach to more personalized treatment plan however further research in human models is needed to determine the safety and true efficacy of these techniques. Additionally, new AI-models need to be developed that address ethical concerns and are effective in real-world clinical settings.
Open Access: Yes
Monocular Curb Edge Detection via Robust Geometric Correspondences
Publication Name: Applied Sciences Switzerland
Publication Date: 2025-12-01
Volume: 15
Issue: 24
Page Range: Unknown
Description:
Advanced driver-assistance and autonomous systems require perception that is both robust and affordable. Monocular cameras are promising due to their ubiquity and low cost, yet detecting abrupt road surface irregularities such as curbs and bumps remains challenging. These sudden road gradient changes are often only a few centimeters high, making them difficult to detect and resolve from a single moving camera. We hypothesize that stable image-based homography, derived from robust geometric correspondences, is a viable method for predicting sudden road surface gradient changes. To this end, we propose a monocular, geometry-driven pipeline that combines transformer-based feature matching, homography decomposition, temporal filtering, and late-stage IMU fusion. In addition, we introduce a dedicated dataset with synchronized camera and ground-truth measurements for reproducible evaluation under diverse urban conditions. We conduct a targeted feasibility study on six scenarios specifically recorded for small, safety-relevant discontinuities (four curb approaches, two speed bumps). Homography-based cues provide reliable early signatures for curbs (3/4 curb sequences detected at a 5 cm threshold). These results establish feasibility for monocular, geometric curb detection and motivate larger-scale validation. The code and the collected data will be made publicly available.
Open Access: Yes
DOI: 10.3390/app152412922
Cultural Differences and the Application of Diplomatic Protocol in the Central and Eastern European Region
Publication Name: European Journal of Interdisciplinary Studies
Publication Date: 2025-12-01
Volume: 17
Issue: 2
Page Range: 145-160
Description:
The success of diplomatic relations is closely linked to the understanding of cultural differences and the proper application of diplomatic protocol. In the countries of the Central and Eastern European region, the diverse historical experiences, collective memories, and socio-cultural characteristics significantly shape both formal and informal diplomatic behavior. This paper examines how cultural differences influence the application of diplomatic protocols in the region, with a particular focus on the role of cultural sensitivity in diplomatic interactions. Adopting a qualitative, multiple case study approach, the research analyzes contemporary diplomatic incidents in which culturally embedded symbols, gestures, dress codes, and gift-giving practices led to protocol unconventionalities or failures. The findings demonstrate that a lack of cultural sensitivity may result in misunderstandings, public embarrassment or diplomatic tension, while culturally informed protocol practices can contribute to strengthening bilateral and multilateral relations. By integrating cultural sensitivity theory with the analysis of diplomatic protocol and providing empirical evidence from Central and Eastern Europe, the paper contributes to the literature by offering a region-specific and practice-oriented perspective on diplomacy. The paper highlights how seemingly minor protocol deviations can carry significant symbolic and political meanings in culturally sensitive contexts, thereby influencing the elusiveness of international relations.
Open Access: Yes
Navigating global financial turbulence: The evergrande collapse and its contagion effect
Publication Name: International Review of Economics and Finance
Publication Date: 2025-12-01
Volume: 104
Issue: Unknown
Page Range: Unknown
Description:
This study investigates the contagion effects of the Evergrande collapse across international financial markets, with emphasis on tail-risk dynamics. Unlike prior work focusing on average spillovers or event windows, we employ a Quantile Vector Autoregression (QVAR) framework to capture state-dependent connectedness under bearish, median, and bullish market conditions, as well as calm versus turbulent volatility regimes. Using daily data for nine major stock indices (2015–2024), we find that the Evergrande crisis significantly amplified global spillovers, but with heterogeneous magnitudes across quantiles. At the 95 % volatility quantile, returns spillovers in the median quantile from Shanghai to the EU increased, during the Evergrande crisis, by approximately 3.5 % in the Net Pairwise Connectedness (NPC) case. In contrast, with very few exceptions, Canadian spillovers remained negligible, confirming its resilience and diversification potential. These results show that extreme market states reveal contagion patterns invisible in average-state analyses, underscoring the systemic role of Hong Kong as a transmission hub and the conditional global influence of Shanghai. The findings provide actionable insights for policymakers on monitoring tail-risk channels and for investors seeking hedging strategies in insulated markets.
Open Access: Yes
Strategizing for Sustainability: Examining the Dynamic Interplay of the Circular Economy, Green Technology Innovation, and Green Performance
Publication Name: Global Journal of Flexible Systems Management
Publication Date: 2025-12-01
Volume: 26
Issue: 4
Page Range: 935-961
Description:
Environmental challenges critically affect manufacturing firms which face numerous concerns regarding their sustainable operations. These operations aim to operationalize the dimensions of circular economy capabilities (CEC) and green technology innovation (GTI) to strengthen competitiveness in fragile environments. This research validates a holistic understanding of green performance by integrating theories and dimensions to identify effects that predict sustainable green performance. Drawing from the green dynamic capability view (GDCV), which is a contextual extension of the DCV and flexible systems management (FSM) paradigm, this study investigates how CEC and GTI predict green performance (GP). Survey data of 301 senior professionals from manufacturing firms acquired from a developing country, such as Bangladesh, were used. To assess the survey data, the study used a multimethodological approach using Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) to investigate the suggested tie in the midst of the CEC and GTI on the GP. The findings reveal that all the antecedents of the circular economy are necessary conditions except absorptive capacity to predict green performance, as reported in the NCA. The fsQCA results show that combinations of CEC and GTI are sufficient conditions to predict high green performance. This research uses a unique combination of CEC and GTI to predict high GP via the supplementary method of fsQCA. Therefore, the findings should also motivate professionals of manufacturing firms to focus even more on the necessity effects of a single condition to predict GP and the asymmetric effects of combinations of CEC and GTI to produce multiple configurations to predict high green performance.
Open Access: Yes
Evaluation of early warning signals for soil erosion using remote sensing indices in northeastern Iran
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Soil erosion represents a major challenge to natural resource conservation, causing land degradation, biodiversity loss, and diminished soil quality. This study explored the use of satellite imagery to evaluate the spatiotemporal risk of soil erosion in northeastern Iran. The ICONA model was applied to identify areas at severe erosion risk, while remote sensing indices (NDVI, NDSI, and TGSI) were employed to analyze erosion trends. NDVI is used to monitor vegetation health, NDSI detects soil salinity levels, and TGSI assesses topsoil grain size distribution, collectively providing critical insights into soil erosion risk in the study area. These indices, derived from the Google Earth Engine with a 30-meter spatial resolution and monthly temporal intervals (2003–2022), were assessed at 100 points, equally divided between eroded and non-eroded regions. Field data, including vegetation plots and soil profiles, were used to validate the remote sensing outputs. Early warning signals were analyzed through three statistical indices—autocorrelation coefficient, skewness, and standard deviation—using Kendall’s tau. Results revealed that 39.7% of the area falls under low erosion risk, 58.4% under medium risk, and 1.9% under severe risk. Significant breakpoints in NDSI and NDVI were identified in 2013, while TGSI showed no detectable change. Major shifts occurred near the Alagol, Almagol, and Ajigol wetlands and northern drylands. This study underscores the importance of integrating satellite data with field validation to improve soil management, protect biodiversity, and guide sustainable erosion mitigation strategies.
Open Access: Yes
