Search Results (5,241)

Maritime transport accounts for approximately 80–90% of global trade and nearly 3% of global greenhouse gas (GHG) emissions. In response, the International Maritime Organization (IMO) adopted an ambitious strategy for net-zero emissions by 2050, critically mandating a Well-to-Wake (WtW) life-cycle assessment for fuels. This framework invalidates fuels produced with high carbon intensity, regardless of their emissions at the point of use, thereby compelling the industry to focus on truly clean and sustainable alternatives. This push positions green hydrogen and ammonia as leading solutions, though they present a distinct trade-off. Hydrogen is an ideal fuel with zero-carbon emission in fuel cells but faces significant storage challenges due to its extremely low volumetric energy density and cryogenic requirements. In contrast, ammonia offers superior energy density and easier handling but contends with issues of toxicity and potentially harmful emissions like nitrous oxide. This paper provides a comprehensive review of this complex landscape, analyzing the production, utilization, and associated techno-economic and geopolitical challenges of using hydrogen and ammonia as future marine fuels, with environmental aspects briefly considered. Full article

In recent years, intelligent driving has attracted more and more attention due to its potential to revolutionize transportation safety and efficiency, emerging as a disruptive technology that reshapes the future landscape of transportation. Environmental perception serves as the primary and fundamental cornerstone of intelligent driving systems. To address the intrinsic blind spots in environmental perception, this paper presents a vehicle collaborative perception approach based on Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) semantic communication. Specifically, a Transformer-based semantic segmentation technique is proposed for application to images acquired from surrounding vehicles and ground-based cameras. Subsequently, the generated semantic segmentation maps are transmitted via V2V/V2I communication. In the receiver, a semantic-guided image reconstruction technique based on Generative Adversarial Networks (GANs) is developed to generate images with high realism. The generated Image images can be further fused with locally perceived data, facilitating intelligent collaborative perception. This method achieves effective elimination of blind spots. Furthermore, as only semantic segmentation maps—with a data size significantly smaller than that of raw images—are transmitted instead of the latter, it exhibits excellent adaptability to the dynamically time-varying characteristics of V2V/V2I channels. Even in poor channel condition, the proposed method maintains high reliability and real-time performance. Full article

Biometric authentication on smartphones has advanced rapidly in recent years, with face recognition becoming the dominant modality due to its convenience and easy integration with modern mobile hardware. However, despite these developments, smartphone-based facial recognition systems remain vulnerable to a broad spectrum of attacks. This survey provides an updated and comprehensive examination of the evolving attack landscape and corresponding defense mechanisms, incorporating recent advances up to 2025. A key contribution of this work is a structured taxonomy of attack types targeting smartphone facial recognition systems, encompassing (i) 2D and 3D presentation attacks; (ii) digital attacks; and (iii) dynamic attack patterns that exploit acquisition conditions. We analyze how these increasingly realistic and condition-dependent attacks challenge the robustness and generalization capabilities of modern face anti-spoofing (FAS) systems. On the defense side, the paper reviews recent progress in liveness detection, deep-learning- and transformer-based approaches, quality-aware and domain-generalizable models, and emerging unified frameworks capable of handling both physical and digital spoofing. Hardware-assisted methods and multi-modal techniques are also examined, with specific attention to their applicability in mobile environments. Furthermore, we provide a systematic overview of commonly used datasets, evaluation metrics, and cross-domain testing protocols, identifying limitations related to demographic bias, dataset variability, and controlled laboratory conditions. Finally, the survey outlines key research challenges and future directions, including the need for mobile-efficient anti-spoofing models, standardized in-the-wild evaluation protocols, and defenses robust to unseen and AI-generated spoof types. Collectively, this work offers an integrated view of current trends and emerging paradigms in smartphone-based face anti-spoofing, supporting the development of more secure and resilient biometric authentication systems. Full article

The emergence of electrically conductive polymeric materials has revolutionized the landscape of sustainable energy technologies, presenting unprecedented opportunities for advancing both photovoltaic conversion systems and electrochemical energy-storage platforms. These remarkable macromolecular materials exhibit distinctive characteristics including adjustable electronic band structures, exceptional mechanical adaptability, solution-phase processability, and cost-effective manufacturing potential. This extensive review provides an in-depth examination of the fundamental principles governing charge carrier mobility in conjugated polymer systems, explores diverse synthetic methodologies for tailoring molecular architectures, and analyzes their transformative applications across multiple energy technology domains. In photovoltaic technologies, electrically conductive polymers have driven major advancements in organic solar cells and photoelectrochemical systems, significantly improving energy conversion efficiency while reducing manufacturing costs. In electrochemical energy storage, their integration into supercapacitors and rechargeable lithium-based batteries has enhanced charge storage capability, accelerated charge–discharge processes, and extended operational lifespan compared with conventional electrode materials. This comprehensive analysis emphasizes emerging developments in hybrid composite architectures that combine conductive polymers with carbon-based nanomaterials, metal oxides, and other functional components to create next-generation flexible, lightweight, and wearable energy systems. By synthesizing fundamental materials chemistry with device engineering perspectives, this review illuminates the transformative potential of electrically conductive polymers in establishing sustainable, efficient, and resilient energy infrastructures for future technological landscapes. Full article

The SDG 15.3.1 framework provides a standardized approach using land use/land cover (LULC) change, land productivity, and soil organic carbon (SOC) dynamics to assess land degradation. However, SDG 15.3.1. faces limitations like coarse resolutions of Landsat-8 and Sentinel-2, particularly for fine-scale studies. Accordingly, this paper integrates Very Deep Super-Resolution (VDSR) for downscaling Landsat-8 imagery to 1 m resolution and the Vegetation Health Index (VHI) into SDG 15.3.1 to enhance detection in the heterogeneous Loiret region, France—a temperate agricultural hub featuring mixed croplands and peri-urban interfaces—using 2017 as baseline and 2024 as target. Results demonstrated that 1 m resolution detected more degraded LULC areas than coarser scales. SOC degradation was minimal (0.15%), concentrated in transitioned zones. VHI reduced overestimation of productivity declines compared to the Normalized Difference Vegetation Index by identifying more stable areas and 2.69 times less degradation in integrated assessments. The “One Out, All Out” rule classified 2.6% (using VHI) and 7.1% (using NDVI) of the region as degraded, mainly in peri-urban and cropland hotspots. This approach enables metre-scale land degradation mapping that remains effective in heterogeneous landscapes where fine-scale LULC changes drive degradation and would be missed at lower resolutions. However, future ground validation and longer timelines are essential to enhance the presented methodology. Full article

The Colombian Orinoquia was shaped within a tectonic and sedimentary framework linked to the uplift of the Andean cordilleras during the Oligocene–Miocene. This orogenic event generated two tectonic fronts and facilitated extensive fluvial sedimentation across a broad alluvial geosyncline. The present geomorphological configuration reflects the cumulative interaction of tectonic and erosional processes with Quaternary climatic dynamics, which together produced complex landscape assemblages characterized by plains with distinctive drainage patterns. To delineate and characterize geomorphological units, we employed multidimensional imagery and Machine Learning techniques within the Google Earth Engine platform. The classification model integrated dual polarizations of synthetic aperture radar (L-band) with key topographic variables including elevation, slope, aspect, convexity, and roughness. The analysis identified three major physiographic units: (i) the Foothills and the Floodplain, both dominated by fluvial environments; (ii) the High plains and Serranía de La Macarena (Macarena Mountain Range), where denudational processes predominate; and (iii) localized aeolian environments embedded within the Floodplain. These contrasting dynamics have generated a broad spectrum of landforms, ranging from terraces and alluvial fans in the Foothills to hills and other erosional features in La Macarena. The Floodplain, developed over a sedimentary depression, illustrates the combined action of fluvial and aeolian processes, whereas the High plains is characterized by rolling plains and peneplains formed through the uplift and erosion of Tertiary sediments. Such geomorphic heterogeneity underscores the interplay between tectonic activity, climatic forcing, and surface processes in shaping the Orinoquia landscape. The geomorphological classification using Random Forest demonstrated high effectiveness in discriminating units at a regional scale, with accuracy levels supported by confusion matrices and associated Kappa indices. Nevertheless, some degree of classificatory overlap was observed in fluvial environments, likely reflecting their transitional nature and complex sedimentary dynamics. Overall, this methodological approach enhances the objectivity of geomorphological analysis and establishes a replicable framework for assessing landform distribution in tropical sedimentary basins. Full article

In the mid to late Tang Dynasty, the compilation and reproduction of the tripiṭaka (Tripitaka) was directly intervened and controlled by the authorities, surpassing its own religious function and becoming an important political expression form with Buddhist elements. In the 10th century, with the collapse of the Tang Empire, the Liao, Song, and Western Xia coexisted within its original territory. At the same time, the political situation in the Korean Peninsula and Vietnam has undergone drastic changes. Within this period, the Song and Liao empires formed a dual core pattern, and the printing and issuing of the Tripitaka with strong political attributes became an important means of competition between the two sides. From the end of the 10th century to the early 11th century, the Song was the first to complete the Kaibao Canon, maintaining the monopoly of the printed Tripitaka during this period and taking it as an important way to establish the world order dominated by the Song and consolidate its relationship with neighboring political powers. Japan, which was not part of the tribute system dominated by the Song, became a target that Emperor Taizong of Song vigorously sought. Under the guidance of this political logic, the Song court, which advocated Daoism, also wanted to voluntarily issue the newly printed Daoist Canon to Vietnam, to exert its religious and political influence. After the mid-11th century, with the establishment of the Khitan Canon, the competition began between the Liao and Song dynasties over the printing and distribution of the Tripitaka. As one of the dual core patterns, the Liao attempted to challenge the monopoly position of the Song’s Kaibao Canon and the cultural hegemony behind it. In this situation, Goryeo, which was wavering between the Liao and Song, became the battlefield of competition between the two empires, presenting complex changes in terms of whether to accept the Tripitaka and their reception standards. In the late 11th century, the Goryeo and the Western Xia almost coincidentally embarked on the so-called “third path”—the construction of their own independent Tripitaka. Due to their limited positions in the political landscape of East Asia at that time, these Tripitakas were not granted to neighboring regimes outside their borders after completion, and therefore did not have international significance. It should be noted that although the positioning of the Goryeo Canon was different from that of the Song and Liao editions, it still belonged to the competition among the same language; the emergence of the Tangut Canon marked a new possibility and opened the way for future Tibetan and Manchu Canons. Briefly, the printed Tripitaka was deeply involved in the multilateral interactions of political powers in East Asia from the 10th to the 13th Century. Full article

The previously published liverwort checklist of Laos, one of the least-studied countries in Asia, was titled “Listing the Unknown”, based on the fact that only 66 species are known for such a landscape-diverse country. Our collection revealed 39 genera and 76 species, 62 of which are newly recorded species to the country, bringing the total number of known species to 128. Among the reported genera, there are 22 liverwort genera new to Laos, all of which could have been expected in this area. Although new data expands the species list, the total number of species recorded remains inadequately small. The presented studies are based primarily on collections at lower elevations (below 500 m above sea level), in strongly modified secondary forest conditions, and are of interest specifically as an example of the liverwort flora of heavily modified, anthropogenically disturbed habitats of rather dry tropical forest communities. The provided checklist includes data on the ecological conditions of the collected species and their altitudinal range. Further research on the liverwort flora of Laos should be conducted in the upper altitudinal zones of the north and the east of the country. Full article

Background/Objectives: PPP2R1A encodes the scaffold subunit Aα of protein phosphatase 2A (PP2A). Pathogenic variants cause Houge-Janssens syndrome 2, a rare neurodevelopmental disorder characterized by developmental delay, intellectual disability, epilepsy, and brain malformations. We systematically reviewed published cases to define the clinical spectrum, characterize the mutational landscape, and explore genotype–phenotype correlations. Methods: We conducted systematic searches of PubMed, Embase, and Web of Science from inception to March 2025, supplemented by GeneReviews and OMIM references. Studies reporting PPP2R1A variants with clinical data were included. Data extraction followed PRISMA guidelines, encompassing study characteristics, genetic findings, and phenotypic features. Results: We identified 16 studies representing 60 patients with PPP2R1A-related disorders. Twenty-six distinct pathogenic variants were identified; these were predominantly de novo heterozygous missense changes clustering within HEAT repeats 5–7. Recurrent hotspots included p.Arg182Trp (n = 12) and p.Arg183Gln (n = 5). Developmental delay and intellectual disability were universally present in all patients for whom data were available (100%, 58/58). Epilepsy occurred in 50.9% (29/57), and structural brain abnormalities in 83.1% (49/59), with corpus callosum abnormalities (40.7%, 24/59) and ventriculomegaly (32.2%, 19/59) being most frequent. Microcephaly was reported in 17.2% (10/58) and macrocephaly in 25.9% (15/58), while dysmorphic features were present in 53.4% (31/58). The phenotypic spectrum ranged from severe neonatal presentations with high mortality to milder neurodevelopmental courses, with prenatal manifestations including ventriculomegaly, corpus callosum abnormalities, and rare cardiac defects. Clear genotype–phenotype correlations emerged, with HEAT5 variants (p.Arg182Trp, p.Arg183Gln) associated with severe phenotypes and increased mortality, while p.Arg258His variants demonstrated comparatively milder courses. Conclusions: PPP2R1A-related disorders encompass a broad clinical spectrum ranging from lethal neonatal disease to survivable forms with variable neurodevelopmental outcomes. Prenatal features including ventriculomegaly and corpus callosum abnormalities enable early genetic diagnosis, informing reproductive counseling. Recognition of recurrent hotspot variants and their phenotype associations facilitates diagnosis, prognosis, and genetic counseling. These findings provide evidence-based guidance for clinical management and highlight the importance of variant-specific prognostication in this emerging neurodevelopmental disorder. Full article

Poly (lactic-co-glycolic acid) (PLGA) is a widely used copolymer with applications across medical, pharmaceutical, and other industrial fields. Its biodegradability and biocompatibility make it one of the most versatile polymers for nanoscale drug delivery. The present review addresses current knowledge and recent advances in PLGA-based co-delivery nanoformulations with a special reference to design strategies, functional mechanisms, and translational potential. Conventional and advanced fabrication methods, the structural design of PLGA-based nanocarriers, approaches to scale-up and reproducibility, classification of co-delivery types, mechanisms governing drug release, surface modification and functionalization are all discussed. Special attention is given to PLGA-based co-delivery systems, encompassing drug–drug, drug–gene, gene–gene and multi-modal combinations, supported by recent studies demonstrating synergistic therapeutic outcomes. The review also examines clinical translation efforts and the regulatory landscape for PLGA-based nanocarriers. Unlike most existing reviews that typically focus either on PLGA fundamentals or on co-delivery approaches in isolation, this article bridges these domains by providing an integrated, comparative analysis of PLGA-based co-delivery systems and elucidating a critical gap in linking design strategies with translational requirements. In addition, by emphasising the relevance of PLGA-based co-delivery for combination therapies, particularly in cancer and other complex diseases, the review highlights the strong clinical and translational potential of these platforms. Key challenges, such as reproducibility, large-scale manufacturing, and complex regulatory pathways, are discussed alongside emerging trends and future perspectives. Taken together, this review positions PLGA-based co-delivery strategies as a critical driver for advancing precision therapeutics and shaping the future landscape of nanomedicine. Full article

Breast cancer is a substantial and growing public health issue in India, with epidemiological data demonstrating distinct and often severe disease characteristics in contrast to Western countries. Contrary to the global trend, Indian women frequently develop the disease at an earlier age and tend to present with more advanced stages, emphasizing important variations in disease pathophysiology. This review compiles and critically evaluates the current literature to describe the specific pathophysiology of breast cancer in the Indian population. We investigate the unique cellular and molecular landscapes, evaluate the impact of specific Indian demographic and genetic features, and highlight crucial gaps in knowledge, diagnostic tools, and therapeutic approaches. The assessment reveals a molecular landscape determined by the incidence of specific tumor subtypes; triple-negative breast cancer, for instance, is frequently diagnosed in younger women, and genetic profiling research suggests variations in its susceptibility genes and mutation patterns when compared to global populations. While this paper brings together recent advancements, it highlights the challenges of adopting global diagnostic and treatment guidelines in the Indian healthcare system. These challenges are largely due to variances and specific demographic and socioeconomic discrepancies that create substantial hurdles for timely diagnosis and patient care. We highlight significant gaps, such as the need for more complete multi-omics profiling of Indian patient cohorts, an absence of uniform and readily available screening programs, and shortcomings in healthcare infrastructure and qualified oncology experts. Furthermore, the review highlights the crucial need for therapeutic strategies tailored to the distinct genetic and demographic profiles of Indian breast cancer patients. We present significant strategies for addressing these challenges, with a focus on integrating multi-omics data and clinical characteristics to gain deeper insight into the underlying causes of the disease. Promising avenues include using artificial intelligence and advancements in technology to improve diagnostics, developing indigenous and affordable treatment options, and establishing context-specific research frameworks for the Indian population. This review also underlines the necessity for personalized strategies to improve breast cancer outcomes in India. Full article

Historical irrigation districts (HIDs) are integrated systems of natural and cultural assets, with cultivated land providing critical functions such as food security, environmental conservation, and cultural inheritance. This study presents a research framework for evaluating multifunctional potential, performance, and geographical matching along the “potential-performance” dimensions using analytical tools such as SPSS26.0, ArcGIS pro3.5.2, GeoDa1.22, InVEST3.13, and bivariate spatial autocorrelation. We use Mulanbei HID in China as a case study because of its thousand-year irrigation history and unique location at the intersection of coastal urban and rural communities. The results show the following: (1) In the Mulanbei HID, multifunctional cultivated land exhibits functions in the following order: producing functions, ecological functions, landscape–cultural functions, and social functions. The production function has a homogenous distribution characterized by high values. The ecological function, on the other hand, is distinguished by high-value clusters that decrease significantly as building land approaches its periphery. Social and landscape–cultural roles continue to be undervalued, with high-value places isolated on metropolitan margins. (2) In terms of matching multifunctional potential and performance, in the High-Potential–High-Performance cluster, production and ecological functions account for 19% and 20%, respectively, while in the High-Potential–Low-Performance cluster, social and landscape–cultural functions account for 33% and 27%. The Low-Potential–Low-Performance cluster has 4% production, 4% ecological, 10% social, and 13% landscape–cultural functions, but all four functions are less than 4% in the Low-Potential–High-Performance cluster. These findings provide a scientific foundation for improving cultivated land zoning and governance with a focus on heritage protection. Full article

Virtual reality (VR) is a new technological advancement that has been at the forefront of a promising new era of technology-based psychoeducation, therapeutic practices, and interventions. VR offers the ability for individuals to enter an immersive virtual world with opportunities to engage with stimuli that exposes them to situations that otherwise cannot be created or controlled in the real world. Thus, VR presents a viable avenue for research, therapeutic treatment, and socio-emotional learning in adolescents. This entry seeks to provide a comprehensive overview of the developing landscape of virtual reality as a means of promoting mental health for youth. We illuminate the robust opportunities for utilizing this new technology in psychological treatment, education, and intervention in adolescents, as well as the unique challenges it presents, and areas that future research should explore. Full article

This study presents the development and evaluation of a Quick Response (QR) code-integrated, web-based, and GIS-supported interactive learning model designed to enhance field-based plant learning in landscape architecture education. Conducted on the Görükle Campus of Bursa Uludağ University (BUU), the research systematically inventoried 6869 individual woody plants belonging to 172 taxa, georeferenced them using GPS, and visualized the data on an interactive campus map. Unique QR codes were generated for each taxon, providing instant access to plant profiles via a web platform and the Landscape Plants mobile application. The pedagogical effectiveness of the system was evaluated through a survey administered to 158 students, yielding a high internal reliability (Cronbach’s Alpha = 0.969). The findings indicated a high level of student satisfaction and a strong positive correlation between web-based and QR code applications (r = 0.941, p ≤ 0.001). This research represents the most comprehensive campus-scale digital plant learning system in Turkey, in terms of both species diversity and individual count. It provides a scalable and sustainable smart campus model which is applicable to nature-based disciplines worldwide. Full article

Background: A comprehensive temporal analysis of mtDNA haplogroup variation across Lithuanian history remains limited. This study investigates the mtDNA variation landscape during the Iron Age by comparing newly reported Iron Age individual mtDNA data with the new data from present-day Lithuanians. Methods: Remains of individuals from the Iron Age Lithuania (n = 101) were processed using standard protocols for ancient DNA processing. For the present-day Lithuanians (n = 279), whole mitogenomes were sequenced. Thirty-six polymorphic sites within the Hypervariable Region I were used for haplogroup assignment, phylogenetic and population genetic analyses. Results: Fifteen distinct haplogroups in the Iron Age and the present-day Lithuanians were identified. Haplogroup R0/H remained the most frequent across time. Haplogroups U, T, and N were prominent in the Iron Age. Haplogroups M and D were introduced after the Iron Age. Phylogenetic and population genetic analyses revealed greater mtDNA diversity in the present-day Lithuanians. Significant difference in molecular variance was observed during the Iron Age. Barring the Viking period, the Iron Age mtDNA variation matched the present-day Lithuanian and European populations. Conclusions: Our study showed that mtDNA variation over time remained stable with some random fluctuations and gained more diversity in the present-day Lithuanians. Full article