Search Results (46,522)

Background/Objectives: Anterior disc displacement (ADD) is a common temporomandibular joint (TMJ) disorder and may progress to internal derangements. Although arthroscopic discopexy (minimally invasive disc repositioning with fixation) has been adopted, suggested techniques and pooled outcomes have not been comprehensively synthesized. The aim of the present study was to summarize the effectiveness of arthroscopic discopexy in treating patients with disc-related TMJ disorders. Methods: This systematic review and meta-analysis followed Cochrane guidance and PRISMA 2020 protocol. Four databases were searched through 1 September 2025. A total of 26 studies were included in this review. Nine studies met the eligibility criteria for meta-analysis and were pooled. The remaining 17 studies were narratively described, focusing on surgical characteristics. Continuous outcomes (MIO, pain score (VAS 0–10)) were pooled as mean differences (MD) with 95% confidence intervals (CIs), and joint sounds were synthesized as dichotomous outcomes. Analyses and heterogeneity were performed in RevMan 5.4. Certainty was graded with GRADE. (PROSPERO: CRD420251145229). Results: 1086 TMJs were analyzed. Arthroscopic discopexy significantly improved MIO, pain, and joint sounds at all time points. The MD of MIO was 10.58 mm (95% CI: 4.46 to 16.70; p ≤ 0.001), 9.83 mm (95% CI: 4.09 to 15.57; p ≤ 0.001), and 13.06 mm (95% CI: 4.40 to 21.72; p ≤ 0.001), respectively. The MD of the pain score was −4.36 (95% CI: −6.89 to −1.82; p ≤ 0.001), −3.91 (95% CI: −6.23 to −1.59; p ≤ 0.001), and −4.56 (95% CI: −7.81 to −1.31; p < 0.01), respectively. At 12 months, joint sounds were less frequent than preoperatively (OR = 0.07; 95% CI: 0.01 to 0.37; p < 0.01). Overall, the certainty of evidence according to the GRADE approach was rated as low. Therefore, the results should be interpreted with caution, as high heterogeneity was observed across the three follow-up time points and the included studies were observational. Conclusions: These findings underscore the significance of arthroscopic discopexy in enhancing TMJ function and alleviating symptoms. Current evidence, characterized by a low risk of bias and low certainty, supports the advantage of arthroscopic discopexy. Due to the observational evidence base and heterogeneity, high-quality randomized trials conducted under standardized treatment protocols and with longer follow-up are needed. Full article

Contemporary architecture is undergoing a transformation from the modernist techno-functional paradigm towards practices that integrate technology with humanistic, cultural, and environmental values. Biophilia—understood as the innate human need for contact with nature—is becoming an important design category that supports health, well-being, and ecological awareness, yet it can also convey additional narratives. In this context, immersion plays a significant role: it is a process of deep engagement of the user with space, involving the senses, emotions, and imagination, while simultaneously fostering relationships between humans and their surroundings. The concept of immersiveness, originating in art theory and digital media studies, is now applied in architecture as a tool for creating spatial narratives and cultural experiences. Biophilic architecture employs immersive strategies to transform buildings into environments that support sensory, behavioural, and social practices. This article analyses selected examples of such projects (including the Rooftop Garden—Warsaw University Library, Musée du quai Branly, and apartment buildings Bosco Verticale) and proposes a Multi-criteria Method for Assessing Architectural Immersiveness (MMAAI). The findings indicate that the integration of nature, technology, and spatial narrative enables architecture to act as a mediator between humans and the environment, generating new qualities of spatial experience in the Anthropocene epoch. Full article

This study explores the transformation of Beijing’s metropolitan commuting network resulting from the relief of the non-essential capital functions policy. The aim is to understand how this policy has contributed to the development of the Beijing-Tianjin-Hebei urban agglomeration. Using China Unicom’s mobile signaling data from 2017 to 2021, we apply complex network analysis to quantify changes in commuting patterns from the perspectives of node importance, link strength, and community structure. The results indicate a shift from a monocentric to a polycentric network (e.g., in-degree centrality in areas outside Beijing increased by 49.5%; global network efficiency rose from 0.66 to 0.69), with peripheral employment centers gaining prominence while central districts lose their dominant position. However, administrative boundaries hinder full regional integration, as only select areas form interconnected clusters. These findings suggest that the policy supports optimized job-housing spatial structures, reduced urban congestion, and improved resource efficiency, contributing to sustainable urban development. The findings highlight the role of enhanced rail transit and governance in further strengthening connectivity and minimizing environmental impacts, while also providing empirical evidence for urban planning strategies aimed at fostering resource-efficient, low-waste metropolitan areas. Full article

Electricity is currently essential for the operation of most modern devices, with significant electrification being observed in all areas. This development has led to an increased demand for solutions that enable energy storage appropriate for a given application, which is currently solved by installing batteries with adequate capacity. This article presents an approach utilizing composite materials that combine both structural and energy storage features. The most frequently discussed components of such materials in the literature are compared, divided into those that contribute to the structural functions of the composite and those that provide additional functionality. The methodology for developing our literature analysis and for comparing materials is given. The results of our publication analysis are then presented, based on the type of integration of multifunctional elements, structural materials, resins, electrolytes, and production methods. The influence of these parameters on the mechanical and electrochemical properties of multifunctional composites is examined. The different materials are compared, and the best ones selected based on appropriate criteria. The current state of knowledge regarding simulations of such materials is presented, and the potential applications of multifunctional composites are reviewed. Finally, key research gaps are identified, suggesting directions for future work. Full article

This paper deals with a new coupled system of integro-differential equations involving the generalized proportional Caputo derivatives equipped with nonlocal four-point boundary conditions. Sufficient criteria for the existence and uniqueness of solutions for the studied system are derived based on Krasnoselskii’s and Banach fixed-point theorems, respectively. Applications are constructed with three different cases to illustrate the main results. Full article

Medicine and vaccine supply chains in Nigeria are socio-technical systems exposed to persistent uncertainty and disruption. Existing studies rarely integrate systems thinking with uncertainty-aware decision tools to jointly prioritize challenges and policy responses. This study asks which policy mix most effectively strengthens these supply chains while balancing multiple, conflicting criteria and stakeholder judgments. We develop a two-stage Fermatean fuzzy framework that first weights 35 challenges using Fermatean Fuzzy Stepwise Weight Assessment Ratio Analysis (FF-SWARA) and then ranks four policy alternatives via Fermatean Fuzzy VIšeKriterijumska Optimizacija I Kompromisno Resenje (FF-VIKOR), based on expert elicitation and linguistic assessments. Results identify interruption of drug supplies, limited vaccine funding, cold-chain potency loss, human resource shortages, and product damage as the most critical challenges. FF-VIKOR prioritizes Effective Implementation of Existing Policies as the best alternative, followed by Improving Access to Medicines and Vaccines, indicating that governance quality and access-enabling infrastructure are complementary levers for resilience. To further enhance robustness, we embed the VIKOR outcomes into a policy-oriented game-theoretic analysis, where strategic weighting scenarios (e.g., cost-focused, infrastructure-driven, human-capital focused) interact with policy choices. The equilibrium results reveal that a mixed strategy combining Effective Implementation of Existing Policies and Strengthening Distribution and Storage Systems guarantees the best compromise performance across adversarial scenarios. The proposed framework operationalizes systems thinking for uncertainty-aware and strategically robust policy design and can be extended with real-time data integration, scenario planning, and regional replication to guide adaptive supply chain governance. Full article

This study aims to detect pathologies in constructions made of sillar, a volcanic material of great historical and cultural value, commonly used in residential and heritage buildings, in the city of Arequipa, Peru. Due to the uniqueness of sillar and the particular characteristics of its pathologies, such as moisture and surface wear, a non-invasive methodology using digital images is proposed, oriented toward the analysis of heritage constructions, with the objective of developing a method that does not alter or modify the heritage or damage the structure, considering that in invasive studies, sample collection may affect the integrity of the material. The proposed strategy combines computer vision techniques, including clustering methods for preliminary segmentation, with the use of deep neural networks for anomaly and deterioration detection. Furthermore, a validation scheme is introduced that integrates standard segmentation metrics with intersection analysis relative to pathology maps, allowing computational analysis to align more closely with the criteria employed in architectural conservation. The results demonstrate good performance in moisture detection, although with lower accuracy in identifying other types of deterioration, highlighting both the feasibility and the challenges of applying deep learning to sillar diagnostics and laying the groundwork for the development of digital tools that support the documentation and preservation of architectural heritage. Full article

Contemporary cities and metropolises, as complex spatial and social structures, require innovative tools for promotion, education, and the identification of development potential. The search for such tools prompted the authors to conduct the research. This article attempts to assess the effectiveness of urban and metropolitan games as tools of territorial marketing and as means of supporting spatial education and social participation. The research is based on the analysis of 42 games with urban and metropolitan themes, selected according to defined criteria. Both qualitative and quantitative research methods were applied, including documentation analysis, comparative analysis techniques, statistical methods, case studies, and coding of games across seven parameters (dimensions), using five descriptors (coded 1–5) per parameter. The research results indicate a high diversity among the analyzed games in terms of structure, function, and application. The proposed typology of games allowed for an in-depth, systematic comparison. The identification of five typological clusters allowed for an assessment of the advantages and limitations of individual game forms. This provided data on the suitability of individual game types for various purposes, including their application in territorial marketing and urban education. The findings confirm that urban and metropolitan games can play a significant role in building spatial awareness, supporting planning processes, and promoting urban areas. They represent an innovative tool supporting the sustainable development of cities and metropolises, particularly in the areas of resident engagement in decision-making processes, collaboration between authorities, residents, and non-governmental organizations, planning with consideration for future generations, as well as fostering—even among the younger generation—a sense of shared responsibility for urban space and the decisions undertaken. Full article

Background: Aging populations make expanded workforce participation among older adults an economic and public health priority. The COVID-19 pandemic accelerated the growth of virtual work, providing new opportunities for healthy aging in the workplace through increased flexibility and less physical strain. However, digital exclusion, ergonomically challenging tasks, and social isolation can limit these opportunities for older populations. Objective: This scoping review aimed to synthesize interdisciplinary research on the relationship between remote work and labor force participation among adults aged 45 years and older, focusing on health-related outcomes, barriers, and facilitators. Methods: Following the JBI Manual for Evidence Synthesis and PRISMA-ScR guidelines, we conducted a comprehensive search across seven databases for peer-reviewed and gray literature published between 2000 and 2025. Of 2108 records screened, 33 studies met the inclusion criteria. Data were extracted using a standardized charting tool and analyzed thematically. Results: Most studies were published after 2020 and originated in North America (45%) and Europe (40%). Core barriers included digital exclusion, ageism, and adverse ergonomic environments. Facilitators involved flexible working hours, a supportive organizational environment, and digital skills. Health-related outcomes such as stress reduction and improved well-being were commonly reported. However, only 18% of studies assessed policy effects, and very few examined intersectionality (e.g., gender, socioeconomic status). Conclusions: Remote and flexible work options can improve the health and participation of older adults in the workforce, but technology, infrastructure, and social barriers remain. Age-inclusive policies, digital equity efforts, and inclusive workplace practices are necessary to maximize the benefits of remote arrangements for aging populations. Full article

Climate change is driving the need for forest management strategies that simultaneously enhance ecosystem resilience and contribute to climate change mitigation. Voluntary carbon markets (VCMs), regulated in the European Union by the Carbon Removal Certification Framework (CRCF), offer potential financial incentives for such management, but eligibility criteria—particularly biodiversity requirements—limit the applicability of certain species. This study assessed the ecological and economic outcomes of six alternative management scenarios for a 4.7 ha, 99-year-old Scots pine (Pinus sylvestris) stand in western Hungary, comparing them against a business-as-usual (BAU) regeneration baseline. Using field inventory data, species-specific yield tables, and the Forest Industry Carbon Model, we modelled living and dead biomass carbon stocks for 2025–2050 and calculated potential CO₂ credit generation. Economic evaluation employed total discounted contribution margin (TDCM) analyses under varying carbon credit prices (€0–150/tCO₂). Results showed that an extended rotation yielded the highest carbon sequestration (958 tCO₂ above BAU) and TDCM but was deemed operationally unfeasible due to declining stand health. Black locust (Robinia pseudoacacia) regeneration provided high mitigation potential (690 tCO₂) but was ineligible under CRCF rules. Grey poplar (Populus × canescens) regeneration emerged as the most viable option, balancing biodiversity compliance, climate adaptability, and economic return (TDCM = EUR 22,900 at €50/tCO₂). The findings underscore the importance of integrating ecological suitability, market regulations, and economic performance in planning carbon farming projects, and highlight that regulatory biodiversity safeguards can significantly shape feasible mitigation pathways. Full article

Background: Liver resection remains the primary curative treatment for many malignant liver diseases. Advances in patient selection, perioperative care, and surgical technique have markedly reduced procedure-related (surgical) complications in experienced centres. However, despite these improvements, medical (non-surgical) complications continue to represent a substantial source of postoperative morbidity, particularly after major liver resections. Herein, we aim to assess the incidence, nature, and predictors of medical versus surgical complications after liver resection and to develop an individual risk calculator for estimating medical morbidity after liver resection. Methods: This is an observational single-centre study including patients who underwent liver resection for cancer between 2013 and 2025. Postoperative complications were classified into medical and surgical categories based on clinical and diagnostic criteria. Demographic, clinical, and intraoperative data were analyzed to identify risk factors associated with each type of complication, and a multivariate logistic regression model was used to select significant variables, which were imputed in a prediction nomogram made available as an interactive web-based calculator. Results: Of the 231 patients included, 36 patients (15.6%) developed postoperative complications. From multivariate analysis, independent predictors of medical complications included cirrhosis (OR 2.8, 95% CI 1.2–6.8, p < 0.05), operative time > 180 min (OR 2.0, 95% CI 1.1–7.4, p < 0.05), intraoperative blood loss > 500 mL (OR 2, 95% CI: 0.9–4.8, p < 0.05), and ASA score ≥ 3 (OR 3.7, 95% CI 1.1–12.5, p < 0.05). Major hepatic resection was the only independent predictor of surgical complications (OR 7.42, 95% CI: 1.14–48.52, p = 0.036). The logistic regression model demonstrated fair discriminative ability with an AUC of 0.682 (95% CI: 0.544–0.729). The risk-prediction nomogram showed a 24.7% risk of postoperative medical morbidity in patients with all four risk factors vs. a 5.4% risk in patients without any risk factor. Conclusion: Postoperative medical complications are significantly more frequent in patients undergoing oncological liver resection with an ASA score ≥ 3, history of cirrhosis, prolonged operative time, and increased intraoperative blood loss. Our logistic regression model and web-friendly nomogram may be used for external validation in larger cohorts and could support preoperative counselling and perioperative risk stratification. Full article

In the modern business environment, where uncertainty and complexity make decision-making difficult, the need for robust, transparent and adaptable support tools is highlighted. The proposed method, named Flexible Decision Navigator for Evaluating Trends and Strategies (F-DeNETS), offers a complementary perspective to classic Artificial Intelligence (AI), Big Data and Multi-Criteria Decision-Making (MCDM) tools. Despite their broad use, these methods frequently suffer from critical sensitivities In the weighting of criteria and the handling of uncertainty, leading to compromised reliability and limited practical utility in environments with limited data availability. To bridge this gap, F-DeNETS integrates intuition and uncertainty into a transparent and statistically grounded process. It introduces a balanced approach that combines statistical evidence with human judgment, extending the boundaries of classic AI, Big Data and MCDM methods. Classic MCDM methods, although useful, are sometimes limited by subjectivity, staticity and dependence on large volumes of data. To fill this gap, F-DeNETS, a hybrid framework combining Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), Non-Asymptotic Fuzzy Estimators (NAFEs) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), transforms expert judgments into statistically sound fuzzy quantifications, incorporates dynamic adaptation to new data, reduces bias and enhances reliability. A numerical application from the shipping industry demonstrates that F-DeNETS offers a flexible and interpretable methodology for optimal decisions in environments of high uncertainty. Full article

Hydrogen-based technologies are progressing in several areas, such as transportation and energy, especially regarding their use as a replacement for greenhouse gas-emitting fuels. However, hydrogen is known for its explosiveness and large-scale flammability; hence, there is a need to ensure it can be detected and measured without risk. Several types of hydrogen sensors are available on the market. Each sensor is suited to a specific environment and operating conditions. In recent years, Artificial Intelligence tools have been increasingly used to improve the design and performance of these sensors in terms of safety, reliability, sensitivity, speed, and selectivity. This paper provides a review of available hydrogen sensors, their fields of application, and the main directions explored by the scientific community for integrating Artificial Intelligence tools to improve their performance. A comparative analysis is presented based on criteria related to sensor technologies, data processing tools, and target performance. This review highlights the results achieved and the challenges that remain to be addressed in various application fields. Full article

Background: Peripheral neuropathy (PN) refers to a spectrum of symptoms resulting from dysfunctions of the peripheral sensory, motor, and autonomic neurons. PN is associated with significant balance impairments and an increased risk of falls, contributing to reduced functional independence and quality of life. Although diabetic PN has been extensively investigated, there remains a lack of synthesized evidence regarding rehabilitation approaches for individuals with non-diabetic PN. This systematic review aims to evaluate the effectiveness of stabilometric platforms incorporating virtual reality (VR) and feedback (FB) in improving balance and related outcomes in patients with PN of various etiologies. Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the protocol registered in PROSPERO (CRD420251086625). Seven major databases (PubMed, Scopus, ScienceDirect, Cochrane, Web of Science, Springer, and Wiley) were searched from inception to April 2025. Studies including adult patients with non-diabetic PN undergoing balance rehabilitation using stabilometric platforms with VR and FB were considered. The methodological quality of the included studies was assessed using the PEDro scale, RoB2, and ROBINS-I V2 tools. Results: A total of six studies met the inclusion criteria, encompassing 133 participants with non-diabetic PN. Interventions involving specialized balance training platforms incorporating VR and FB demonstrated significant improvements in both static and dynamic balance and postural control, as well as a reduction in the risk of falling. These systems also showed favorable adherence rates to rehabilitation programs. However, variability in intervention protocols and outcome measures limited the ability to perform direct comparisons across studies. Conclusions: The use of stabilometric platforms appears to be a promising approach for balance rehabilitation in patients with non-diabetic PN. Despite the limited number of included studies, the results support their integration into rehabilitation programs for this patient population. Further large-scale, high-quality studies are needed to establish standardized protocols and confirm long-term efficacy. Full article

Methamphetamine is a highly addictive stimulant with severe health and psychosocial consequences. Over recent decades, genetic and molecular research on methamphetamine use disorders has expanded considerably, yet a comprehensive synthesis of this growing body of literature is lacking. This study conducted a bibliometric analysis to map the scientific landscape of genetic and molecular biology research on methamphetamine use, identifying key contributors, influential publications, publication trends, and co-occurring keywords and citations. A systematic search of the Scopus database retrieved 1550 documents. After applying the inclusion criteria and manual screening, 449 peer-reviewed articles published between 1993 and 2025 were included. Performance analysis and scientific mapping were conducted using VOSviewer software through bibliographic coupling and keyword co-occurrence. The study followed the BIBLIO checklist for reporting bibliometric reviews in biomedical literature. Publication output increased markedly after 2005, peaking in 2022, followed by a decline that may reflect a shift in research priorities. The United States, China, and Japan emerged as leading contributors, underscoring their significant investment in addiction and molecular research. Keyword co-occurrence revealed strong emphasis on addiction, dopamine, neurotoxicity, gene expression, and genetic polymorphisms, highlighting their central role in the pathophysiology of methamphetamine use disorders. This bibliometric analysis demonstrates substantial growth and influence of genetic research on methamphetamine use. Despite a recent decline in publications, the field provides a solid foundation for future interdisciplinary research and funding priorities in addiction genetics. Full article