Search Results (296)

Photoaging is a multifactorial and progressive skin aging process primarily triggered by prolonged exposure to ultraviolet (UV) radiation. This condition leads to both structural and functional impairments in the skin, including the formation of wrinkles, loss of elasticity, pigmentation irregularities, and an elevated risk of skin malignancies. At the core of photoaging is the accumulation of reactive oxygen species (ROS), which generate oxidative stress, initiate chronic inflammation, cause DNA damage, and accelerate the breakdown of the extracellular matrix—largely through the activity of matrix metalloproteinases (MMPs). The review provides a comprehensive analysis of various natural substances, including antioxidants, anti-inflammatory agents, photoprotective compounds, and emerging regenerative treatments, based on in vitro and in vivo research. Special emphasis is placed on natural substances, including polyphenols, cannabinoids, carotenoids, retinoids, and vitamins, highlighting their potential in preventing and treating photoaging. This review aims to present a detailed, evidence-based overview of photoaging mechanisms and innovative approaches to mitigate its effects. Full article

This study examined the role of Geographic Information Systems (GIS) in municipal responses to the COVID-19 pandemic in Israel. A structured survey of officials from 130 municipalities was conducted, with a focus on the 87 municipalities that utilized GIS. An Exploratory Factor Analysis (EFA) was performed on the survey data from these GIS-user municipalities to identify the underlying dimensions of GIS application during the crisis. The analysis revealed that municipal GIS engagement is not a monolithic activity but is composed of three distinct, reliable, and interpretable latent factors: (1) Strategic and Operational Integration, reflecting the deep embedding of GIS into core governance and decision-making; (2) Temporal Engagement, capturing the sustained use of the system over the timeline of the pandemic’s fourth wave; and (3) Logistical Site Coordination, representing the specialized use of GIS for managing testing and vaccination sites. These findings move beyond documenting individual GIS tasks to provide an empirical, data-driven framework of how geospatial technology was operationalized. This study underscores the multidimensional nature of GIS in a public health emergency and offers a structured understanding that can inform future crisis preparedness, training, and technology implementation strategies for municipal governments. Full article

This research focuses on analyzing the determinants of financial performance for the companies included in the Standard & Poor’s 500 index over the period from 2014 to 2023. To guide managerial decisions aimed at enhancing company performance, this study examines, as key drivers, the main financial indicators, core corporate governance characteristics, and U.S. public governance indicators. The investigation begins with a retrospective review of the specialized literature, highlighting the findings of previous studies in the field and providing the basis for selecting the variables used in the present empirical analysis. The research method employed is fixed-effects panel-data regression. The dependent variables are financial performance measures, such as the EBITDA margin, EBIT margin, net profit margin, and ROA. This study’s main results show that the price-to-book ratio, liquidity, sales growth, CEO duality, board gender diversity, ESG score, and U.S. regulatory quality exert a positive influence on financial performance. In contrast, the price-to-earnings ratio, net debt, capital intensity, R&D intensity, weighted average cost of capital, board independence, and the COVID-19 pandemic crisis have a negative impact on the financial performance of U.S. companies. The findings of this investigation could serve as benchmarks for supporting managerial decisions at the company level regarding the improvement of their financial performance. Full article

Due to its extensive applications, aerial image object detection has long been a hot topic in computer vision. In recent years, advancements in unmanned aerial vehicle (UAV) technology have further propelled this field to new heights, giving rise to a broader range of application requirements. However, traditional UAV aerial object detection methods primarily focus on detecting predefined categories, which significantly limits their applicability. The advent of cross-modal text–image alignment (e.g., CLIP) has overcome this limitation, enabling open-vocabulary object detection (OVOD), which can identify previously unseen objects through natural language descriptions. This breakthrough significantly enhances the intelligence and autonomy of UAVs in aerial scene understanding. This paper presents a comprehensive survey of OVOD in the context of UAV aerial scenes. We begin by aligning the core principles of OVOD with the unique characteristics of UAV vision, setting the stage for a specialized discussion. Building on this foundation, we construct a systematic taxonomy that categorizes existing OVOD methods for aerial imagery and provides a comprehensive overview of the relevant datasets. This structured review enables us to critically dissect the key challenges and open problems at the intersection of these fields. Finally, based on this analysis, we outline promising future research directions and application prospects. This survey aims to provide a clear road map and a valuable reference for both newcomers and seasoned researchers, fostering innovation in this rapidly evolving domain. We keep track of related works in a public GitHub repository. Full article

Background: Anhedonia, defined as the diminished capacity to experience pleasure, represents a core negative symptom in first-episode psychosis (FEP) with profound implications for functional outcomes and long-term prognosis. Despite its clinical significance, comprehensive understanding of anhedonia prevalence, underlying mechanisms, and optimal intervention strategies in early psychosis remains limited. Objectives: To systematically examine the prevalence and characteristics of anhedonia in FEP patients, explore neurobiological mechanisms, identify clinical correlates and predictive factors, and evaluate intervention efficacy. Methods: Following PRISMA 2020 guidelines, we conducted comprehensive searches across PubMed, Embase, PsycINFO, and Web of Science databases from January 1990 to June 2025. Studies examining anhedonia and negative symptoms in FEP patients (≤24 months from onset) using validated assessment instruments were included. Quality assessment was performed using appropriate tools for study design. Results: Twenty-one studies comprising 3847 FEP patients met inclusion criteria. Anhedonia prevalence ranged from 30% at 10-year follow-up to 53% during acute phases, demonstrating persistent motivational deficits across illness trajectory. Factor analytic studies consistently supported five-factor negative symptom models with anhedonia as a discrete dimension. Neuroimaging investigations revealed consistent alterations in reward processing circuits, including ventral striatum hypofunction and altered network connectivity patterns. Social anhedonia demonstrated stronger associations with functional outcomes compared to other domains. Epigenetic mechanisms involving oxytocin receptor methylation showed gender-specific associations with anhedonia severity. Conventional antipsychotic treatments showed limited efficacy for anhedonia improvement, while targeted psychosocial interventions demonstrated preliminary promise. Conclusions: Anhedonia showed high prevalence (30–53%) across FEP populations with substantial clinical burden (13-fold increased odds vs. general population). Meta-analysis revealed large effect sizes for anhedonia severity in FEP vs. controls (d = 0.83) and strong negative correlations with functional outcomes (r =·−0.82). Neuroimaging demonstrated consistent ventral striatum dysfunction and altered network connectivity. Social anhedonia emerged as the strongest predictor of functional outcomes, with independent suicide risk associations. Conventional antipsychotics showed limited efficacy, while behavioral activation approaches demonstrated preliminary promise. These findings support anhedonia as a distinct treatment target requiring specialized assessment and intervention protocols in early psychosis care. Full article

Introduction: Breast cancer therapy is a common cause of lymphedema. The accumulation of protein-rich fluid in the affected extremity leads to a progressive path—swelling, inflammation, and fibrosis—namely, irreversible changes. Methods: A scientific literature analysis was performed on PubMed/Medline, Scopus, Web of Science (WoS), the Cochrane Central Register of Controlled Trials (CENTRAL), and the Physiotherapy Evidence Database (PEDro) from inception until 30 June 2024. Results: Breast cancer-related lymphedema (BCRL) is indeed an important healthcare burden both due to the significant patient-related outcomes and the overall social impact of this condition. Even though lymphedema is not life-threatening, the literature underlined harmful consequences in terms of pain, infections, distress, and functional impairment with a subsequent and relevant decrease in quality of life. Currently, since there is no cure, the therapeutic approach to BCRL aims to slow disease progression and prevent related complications. A comprehensive overview of postmastectomy lymphedema is offered. First, the pathophysiology and risk factors associated with BCRL were detailed; then, diagnosis modalities were depicted highlighting the importance of early detection. According to non-negligible changes in patients’ everyday lives, novel criteria for patients’ functioning assessment are reported. Regarding the treatment modalities, a wide array of conservative and surgical methods both physiologic and ablative were analyzed with their own outcomes and downsides. Conclusions: Combined strategies and multidisciplinary protocols for BCRL, including specialized management by reconstructive surgeons and physiatrists, along with healthy lifestyle programs and personalized nutritional counseling, should be compulsory to address patients’ demands and optimize the treatment of this harmful and non-curable condition. The Lymphedema-specific ICF Core Sets should be included more often in the overall outcome evaluation with the aim of obtaining a comprehensive appraisal of the treatment strategies that take into account the patient’s subjective score. Full article

Amidst the escalating global challenges of deforestation and climate change, effective forest governance has become a critical global imperative. As a key actor in this arena, China presents a crucial case for understanding state-led environmental governance. This study addresses the thematic evolution and governance structure of China’s forest policy planning from 1980 to 2024. Grounded in multi-level governance (MLG) theory, we apply the Non-negative Matrix Factorization (NMF) topic model to a corpus of 1265 policy documents sourced from the PKULaw database, spanning four administrative levels from central to county. An analysis of 13 core policy themes reveals a significant transition, shifting from early regulatory development and resource utilization to a modern emphasis on ecological protection, scientific monitoring, financial support, and governance innovation. The findings delineate a complex governance architecture: a vertical division of labor (central guidance, local implementation), a horizontal model of inter-departmental interaction where specialized management coexists with comprehensive coordination, and adaptive governance reflecting regional heterogeneity. These results illuminate the dynamic evolution of power allocation, central–local relations, and synergy within China’s forest sector. This study not only provides new empirical evidence and an analytical framework for understanding China’s natural resource policy transition but also offers scientific insights for optimizing multi-level forest governance systems and enhancing policy synergy and efficacy. Full article

Provable data possession (PDP) is a technique that enables the verification of data integrity in cloud storage without the need to download the data. PDP schemes are generally categorized into public and private verification. Public verification allows third parties to assess the integrity of outsourced data, offering good openness and flexibility, but it may lead to privacy leakage and security risks. In contrast, private verification restricts the auditing capability to the data owner, providing better privacy protection but often resulting in higher verification costs and operational complexity due to limited local resources. Moreover, most existing PDP schemes are based on classical number-theoretic assumptions, making them vulnerable to quantum attacks. To address these challenges, this paper proposes an identity-based PDP with a designated verifier over lattices, utilizing a specially leveled identity-based fully homomorphic signature (IB-FHS) scheme. We provide a formal security proof of the proposed scheme under the small-integer solution (SIS) and learning with errors (LWE) within the random oracle model. Theoretical analysis confirms that the scheme achieves security guarantees while maintaining practical feasibility. Furthermore, simulation-based experiments show that for a 1 MB file and lattice dimension of n = 128, the computation times for core algorithms such as TagGen, GenProof, and CheckProof are approximately 20.76 s, 13.75 s, and 3.33 s, respectively. Compared to existing lattice-based PDP schemes, the proposed scheme introduces additional overhead due to the designated verifier mechanism; however, it achieves a well-balanced optimization among functionality, security, and efficiency. Full article

Amid structural changes driven by the greening and digital transformation of the maritime industry, the demand for career transitions of seafarers with onboard experience to shore-based positions—particularly ship superintendents—is steadily increasing. However, the current lack of a systematic education and career development framework to support such transitions poses a critical challenge for shipping companies seeking to secure sustainable human resources. The aim of this study was to develop a competency-based training program that facilitates the effective transition of seafarers to shore-based ship superintendent roles. We integrated a developing a curriculum (DACUM) analysis with competency-based job analysis to achieve this aim. The core competencies required for ship superintendent duties were identified through three expert consultations. In addition, social network analysis (SNA) was used to quantitatively assess the structure and priority of the training content. The analysis revealed that convergent competencies, such as digital technology literacy, responsiveness to environmental regulations, multicultural organizational management, and interpretation of global maritime regulations, are essential for a successful career shift. Based on these findings, a modular training curriculum comprising both common foundational courses and specialized advanced modules tailored to job categories was designed. The proposed curriculum integrated theoretical instruction, practical training, and reflective learning to enhance both applied understanding and onsite implementation capabilities. Furthermore, the concept of a Seafarer Success Support Platform was proposed to support a lifecycle-based career development pathway that enables rotational mobility between sea and shore positions. This digital learning platform was designed to offer personalized success pathways aligned with the career stages and competency needs of maritime personnel. Its cyclical structure, comprising career transition, competency development, field application, and performance evaluation, enables seamless career integration between shipboard- and shore-based roles. Therefore, the platform has the potential to evolve into a practical educational model that integrates training, career development, and policies. This study contributes to maritime human resource development by integrating the DACUM method with a competency-based framework and applying social network analysis (SNA) to quantitatively prioritize training content. It further proposes the Seafarer Success Support Platform as an innovative model to support structured career transitions from shipboard roles to shore-based supervisory positions. Full article

This study investigates the complex dynamics of new-type urbanization in resource-based county-level cities, using Wuan City in Hebei Province, China, as a representative case. As China pursues a high-quality development agenda, cities historically dependent on resource extraction face profound challenges in achieving sustainable and inclusive urban growth. This research employs a multi-method approach—including Theil index analysis, industrial shift-share analysis, a Cobb–Douglas production function model, and a composite urbanization index—to quantitatively diagnose the constraints on Wuan’s development and assess its transformation efforts. Our empirical results reveal a multifaceted situation: while the urban–rural income gap has narrowed, rural income streams remain fragile. The shift-share analysis indicates that although Wuan’s traditional industries have regained competitiveness, the city’s economic structure is still burdened by a persistent negative structural component, hindering diversification. Furthermore, the economy exhibits characteristics of a labor-intensive growth model with inefficient capital deployment. These underlying issues are reflected in a comprehensive urbanization index that, after a period of rapid growth, has recently stagnated, signaling the exhaustion of the city’s traditional development mode. In response, Wuan attempts an “industrial transformation-driven new-type urbanization” path. This study details the three core strategies being implemented: (1) incremental population urbanization through development at the urban fringe and in industrial zones; (2) in situ urbanization of the existing rural population; and (3) the cultivation of specialized “characteristic small towns” to create new, diversified economic nodes. The findings from Wuan offer critical, actionable lessons for other resource-dependent regions. The case demonstrates that successful urban transformation requires not only industrial upgrading but also integrated, spatially aware planning and robust institutional support. We conclude that while Wuan’s model provides a valuable reference, its strategies must be adapted to local contexts, emphasizing the universal importance of institutional innovation, human capital investment, and a people-centered approach to achieving resilient and high-quality urbanization. Full article

Purpose: The objective of this study was to evaluate the implementation of a Multidisciplinary Tumor Board (MDTB) strategy in the treatment of patients with uveal melanoma. Methods: A retrospective analysis was conducted on the implementation of MDTB meetings over a 24-month period. During this time, 72 intraocular tumors were discussed, including 59 confirmed cases of uveal melanoma. The MDTB involved a core group of specialists (e.g., ophthalmologists, oncologists, and radiologists), with other experts included when clinically appropriate. To assess patient satisfaction with the MDTB approach, a structured questionnaire was administered, including items on clarity of communication, perceived quality of care, and overall satisfaction, which were ranked on a 5-point scale. Results: A total of 319 patients with ocular, periocular, or orbital tumors were discussed during the study period, of which, 72 had intraocular tumors. A total of 13 (18%) were diagnosed to have choroidal metastases, whereas 59 (82%) had uveal melanomas. The average time between patient care and MDTB discussion was 15.9 days (IQR: 7.5–16.5). The mean time between the case discussion and the implementation of recommendations (diagnostic, therapeutic, or referral decisions) was 14.8 days (IQR: 6.0–23.75). Overall, 4 (7%) patients were classified as Stage I, 16 (27%) as Stage IIa, 18 (31%) as Stage IIb, 7 (12%) as Stage IIIa, 2 (3%) as Stage IIIb, and 12 (20%) as Stage IV. Regarding the satisfaction questionnaire, all patients (100%) agreed to have the clinical case discussed at the TB even though this could result in a delay in diagnostic/therapeutic implementation. However, only 60% of patients perceived they had been directly involved in the decision-making process. Conclusions: In selected cases of uveal melanoma and other types of cancer, MDTBs should be recognized as a gold standard in cancer care, allowing for comprehensive decision-making that draws on a wide range of highly specialized expertise. Full article

China’s National Famous, Special, Excellent, and New Agricultural Products are key rural economic assets, yet their spatial patterns and sustainability drivers remain underexplored. Based on the geospatial data of 1932 National Famous, Special, Excellent and New Agricultural Products in China, this study systematically analyzes their spatial distribution pattern by using GIS spatial analysis techniques, including the standard deviation ellipse, kernel density estimation, geographic concentration index and Lorenz curve, and quantitatively explores the driving factors of sustainable development by using geographic detectors. The research results of this paper are as follows. (1) The spatial distribution shows a significant non-equilibrium characteristic of “high-density concentration in the central and eastern part of the country and low-density sparseness in the western part of the country” and the geographic concentration index (G = 22.95) and the standard deviation ellipse indicate that the center of gravity of the distribution is located in the North China Plain (115° E–35° N), and the main direction extends along the longitude of 110° E–120° E. (2) Driving factor analysis showed that railroad mileage (X10) (q = 0.5028, p = 0.0025 < 0.01), highway mileage (X11) (q = 0.4633, p = 0.0158 < 0.05), and population size (X3) (q = 0.4469, p = 0.0202 < 0.05) are the core drivers. (3) Three-dimensional kernel density mapping reveals that the eastern coast and central plains (kernel density > 0.08) form high-density clusters due to the advantages of the transportation network and market, while the western part shows a gradient decline due to the limitation of topography and transportation conditions. The study suggests that the sustainable development of National Famous, Special, Excellent, and New Agricultural Products should be promoted by strengthening transportation and digital logistics systems, enhancing cold-chain distribution for perishable goods, tailoring regional branding strategies, and improving synergy among local governments, thereby providing actionable guidance for policymakers and producers to increase market competitiveness and income stability. The study provides a quantitative, policy-oriented assessment of China’s branded agricultural resource allocation and its sustainability drivers, offering specific recommendations to guide infrastructure investment, e-commerce logistics enhancement, and targeted subsidy design for balanced regional development. The study highlights three key contributions: (1) an innovative integration of geospatial analytics and geographical detectors to reveal spatial patterns; (2) clear empirical evidence for policymakers to prioritize transport and digital logistics investments; and (3) practical guidance for producers and brand managers to enhance product market reach, optimize supply chains, and strengthen regional competitiveness in line with sustainable development goals. Full article

Against the backdrop of China’s urban transformation from incremental expansion to stock regeneration, community regeneration has emerged as a critical mechanism for enhancing urban governance efficacy. As fundamental units of urban systems, the regeneration of communities requires comprehensive approaches to address complex socio-spatial challenges, with public participation serving as the core driver for achieving sustainable renewal goals. However, significant regional disparities persist in the effectiveness of public participation across China, necessitating the systematic institutionalization of participatory practices. Guangzhou, as a pioneering city in institutional innovation and the practical exploration of urban regeneration, provides a representative case for examining the evolutionary trajectory of participatory planning. This research employs Arnstein’s Ladder of Participation theory, utilizing literature analysis and comparative case studies to investigate the evolution of participatory mechanisms in Guangzhou’s community regeneration over four decades. The study systematically examined the transformation of public engagement models across multiple dimensions, including organizational frameworks of participation, participatory effectiveness, diversified financing models, and the innovation of policy instruments. Three paradigm shifts were identified: the (1) transition of participants from “passive responders” to “active constructors”, (2) advancement of engagement phases from “fragmented intervention” to “whole-cycle empowerment”, and (3) evolution of participation methods from “unidirectional communication” to “collaborative co-governance”. It identifies four drivers of participatory effectiveness: policy frameworks, financing mechanisms, mediator cultivation, and engagement platforms. To enhance public engagement efficacy, the research proposes the following: (1) a resilient policy adaptation mechanism enabling dynamic responses to multi-stakeholder demands, (2) a diversified financing framework establishing a “government guidance + market operation + resident contribution” cost-sharing model, (3) a professional support system integrating “localization + specialization” capacities, and (4) enhanced digital empowerment and institutional innovation in participatory platform development. These mechanisms collectively form an evolutionary pathway from “symbolic participation” to “substantive co-creation” in urban regeneration governance. Full article

To meet the special needs of preventive maintenance for oil and gas well pipelines, this study conducts a geometric dissection of remora suckerfish based on bionics. It combines the biological features with fiberboard tape and uses the discrete element method to construct a particle model of solvent-free, epoxy-reinforced polymer materials, determining relevant parameters. The model accuracy is verified through volumetric density and drop tests, and the optimal parameter combination of the remora-inspired structure is obtained via multi-factor simulation analysis. Comparative tests confirm that the bionic structure enhances stability by approximately 43.29% compared to the original structure, effectively avoiding insufficient strength. It successfully addresses the gravitational segregation and fluid shear caused by uneven coating thickness, ensures stable and reliable interfacial properties of the composite structure during service, and provides strong support for the practical application of related materials in the preventive repair of oil and gas well pipelines. The findings promote the upgrade of oil and gas pipeline maintenance strategies from “passive response” to “active prevention”, laying the core technical foundation for the resilience of energy infrastructure. Full article

Background/Objectives: The prevalence of people with incurable and progressive diseases in primary health care is high. Family doctors and nurses must be active agents in the early identification of palliative needs and the implementation of palliative approaches in cases of low to intermediate complexity. While there is a need for early referral of more complex palliative care (PC) cases to specialized teams, primary health care (PHC) professionals lack the confidence or skill to describe their role. This study sought to explore and describe (a) the practices of PHC professionals regarding their PC provision; (b) the barriers regarding access and referral of patients to specialized PC services; and (c) the strategies used or recommended to mitigate difficulties in accessing and referring to specialized PC. Methods: A descriptive qualitative study was carried out, using five focus groups conducted with nursing and medical staff at three local health units in the central region of Portugal. Semi-structured interviews were conducted, and then recorded, transcribed, and analyzed through a thematic analysis approach. The reporting of this research follows the COREQ checklist. Results: In total, 34 PHC professionals participated in this study. The majority of participants were women (n = 26) and family doctors (n = 24). Their mean age was 43.8 ± 11.9 (range: 29 to 65 years). The findings were organized into three core themes: (1) the contours of palliative action developed by PHC teams; (2) barriers to access and safe transition between PHC and specialized PC; and (3) ways to mitigate difficulties in accessing and referring to specialized PC. Conclusions: Our findings highlight the fundamental role of PHC professionals in providing primary PC, and in identifying PC needs and referring patients to PC early on, while exposing the systemic and interpersonal challenges that hinder these processes. To overcome these challenges, it is essential to invest in the development of integrated care models that promote practical, low-bureaucratic referral processes and capture the human resources necessary for the adequate follow-up of users. Full article