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Background/Objectives: Chronic pain represents a major global health burden and significantly impacts quality of life and functional capacity. Physiotherapy plays a central role in its management, yet the rapid growth of research in this field makes it difficult to identify current trends and emerging directions. The aim of this study was to analyze global research trends in chronic pain physiotherapy using a bibliometric approach. Methods: A bibliometric analysis was conducted using data retrieved from PubMed, Scopus, and Web of Science. A predefined search strategy was applied to identify relevant publications. Data were analyzed and visualized using VOSviewer. Co-occurrence analysis of terms based on titles and abstracts was performed using full counting. The most relevant terms were selected using a relevance score threshold, and a thesaurus file was applied to improve data quality. Results: The number of publications increased steadily from 2015 to 2025, indicating growing research interest in chronic pain physiotherapy. Network analysis revealed key research clusters related to clinical interventions, functional assessment, and outcome evaluation. The most prominent and central terms included “pelvic pain”, “neck disability index”, and “radicular pain”. Overlay visualization identified emerging topics such as “stratified care”, “multidisciplinary rehabilitation”, and “psychometric property”, reflecting a shift toward personalized and patient-centered approaches. Conclusions: Research in chronic pain physiotherapy is rapidly expanding, with a clear transition from traditional intervention-focused approaches toward individualized, multidisciplinary, and outcome-driven strategies. These findings provide insight into current research directions and may support clinicians and researchers in identifying future priorities in chronic pain management. Full article

Coral-associated microbial communities play a critical role in the health and resilience of reef ecosystems; however, the relative importance of host identity and environmental factors in shaping these communities remains unclear, particularly in understudied regions such as the Gulf of California. In this study, we characterized the taxonomic composition, diversity patterns, persistent taxa (core bacteriome), and predicted functional potential of bacterial communities associated with three coral genera (Pocillopora, Porites, and Pavona) and surrounding seawater using 16S rRNA gene amplicon sequencing and PICRUSt2-based functional inference. Bacterial community structure differed significantly among coral hosts (PERMANOVA, p < 0.01), whereas geographic location and measured physicochemical parameters had no detectable effect. Coral-associated bacterial communities exhibited lower alpha diversity than seawater and formed distinct host-specific clusters in beta-diversity analyses. Core bacteriome analysis revealed a combination of conserved and host-specific taxa, with Acinetobacter consistently present across hosts, while genera such as Pseudovibrio and Ruegeria showed host-specific associations. Differential abundance analyses further confirmed distinct bacterial signatures among coral genera. Predicted functional profiles were dominated by central metabolic pathways and exhibited significant differences among hosts, although overall functional composition remained relatively conserved. Stratified analyses indicated that similar metabolic pathways were supported by different taxonomic assemblages, suggesting functional redundancy. Overall, our results demonstrate that host identity is the primary driver of both taxonomic composition and predicted functional potential in coral-associated bacterial communities in the Gulf of California, highlighting the coexistence of stability and host-specific differentiation within the coral holobiont. Full article

In the healthcare sector, burnout has become a critical concern due to the combination of high job demands and sustained emotional strain. Burnout is closely linked to systemic and organizational pressures, and psychosocial risks are widely recognized as central determinants of burnout. Within this multidimensional framework, Work Values are understood as an integral component of psychosocial risks, shaping how professionals interpret and respond to these pressures. The present study aims to analyze whether emotional intelligence moderates the relationship between psychosocial risk factors, namely work values conflict and burnout, among healthcare professionals. A cross-sectional online survey, based on a snowball sample with 205 healthcare professionals, was performed. Measurement instruments included the Burnout Assessment Tool (BAT-23), used to assess burnout dimensions; the Health and Work Survey (ERPS_INSAT), used to evaluate psychosocial risk factors; and the Wong and Law Emotional Intelligence Scale (WLEIS-P), used to assess emotional intelligence. A moderation analysis using the PROCESS macro (model 1) was conducted to examine whether emotional intelligence moderates the relationship between psychosocial risk, work values factor, and burnout among healthcare professionals. The results show that the psychosocial risk–work values dimension was a significant positive associated factor of burnout (total scale: B = 0.27, p < 0.001; Exhaustion: B = 0.33, p < 0.001; Mental distance: B = 0.32, p < 0.001; Cognitive Impairment: B = 0.14, p < 0.001; Emotional Impairment: B = 0.30, p < 0.001), indicating that higher perceived risk was associated with higher burnout symptoms. Emotional intelligence did not significantly predict burnout on its own (total scale: B = 0.07, p > 0.05; Exhaustion: B = 0.09, p > 0.05; Mental Distance: B = 0.11, p > 0.05; Cognitive Impairment: B = 0.11, p > 0.05; Emotional Impairment: B = −0.04, p > 0.05). The interaction term (psychosocial risk = work values × emotional intelligence) was not significant, suggesting that no significant moderating effect was detected in this sample for emotional intelligence in the relationship between work values and burnout. These findings highlight the central role of psychosocial risk factors in the development of burnout among healthcare professionals, and emotional intelligence does not seem to have a significant moderating effect against burnout in this study. Such findings highlight the crucial role that organizational-level interventions at the workplace play in resolving conflicts between work values and lower burnout and improved worker wellbeing. Full article

The integration of solar photovoltaic (PV) systems on offshore platforms has emerged as a promising solution to reduce reliance on diesel-based power generation and associated with greenhouse gas emissions. However, the combined influence of environmental and installation factors, particularly tilt angle and fouling, remains insufficiently explored in offshore conditions. This study aims to evaluate the interaction between tilt angle and fouling on PV system performance under practical offshore constraints. A series of simulations was conducted using PVsyst by varying tilt angles (10°, 26°, and 40°) and fouling factors (0%, 5%, and 10%). The results indicate that fouling has a significantly greater impact on system performance than tilt angle variation. Increasing fouling from 0% to 10% leads to energy yield reductions of approximately 9%, while variations in tilt angle within the tested range result in differences of less than 3%. The highest energy yield was achieved at a tilt angle of 26°, reaching approximately 179 MWh/year, whereas performance ratio shows a slight increase with higher tilt angles. These findings suggest that, under offshore environmental conditions, operational strategies such as fouling mitigation and maintenance play a more critical role than geometric optimization. This study provides practical insights for improving the reliability and energy efficiency of offshore PV systems. Full article

The subjective assessment of social mobility opportunities plays an important role in shaping individuals’ psychological experiences and social mentality. Drawing on the hierarchical structure theory of social mentality, this study examines how perceived social mobility influences sense of gain and identifies the underlying mechanisms and boundary conditions. The findings indicate the following: (1) Perceived social mobility positively predicts the sense of gain. (2) Social trust mediates the positive relationship between perceived social mobility and sense of gain, and this indirect effect is significant under high perceived social mobility but not significant under low perceived social mobility. (3) Subjective social status moderates the association between low perceived social mobility and social trust. The negative association between low perceived social mobility and social trust shows a tendency to be more pronounced among individuals with low subjective social status. These findings support an integrative model of “cognitive foundation—relational connection—emotional feedback”, providing a stratified pathway for guiding and empowering people’s sense of gain. Full article

The mevalonate (MVA) pathway is a central metabolic route responsible for the biosynthesis of isoprenoids with broad biological and biotechnological relevance. Due to its importance, the MVA pathway has attracted increasing interest in studies of enzymatic regulation, structural biology, metabolic engineering, and synthetic biology, particularly in fungi. This review provides a comprehensive overview of the MVA pathway, addressing its distribution across different domains of life, evolutionary aspects, and metabolic organization, with emphasis in fungi. Special attention is given to the biochemical and structural characterization of MVA-pathway enzymes, including catalytic mechanisms, structural features, and regulatory processes. The methylerythritol phosphate pathway is also presented as an alternative route for isoprenoid precursor biosynthesis and discussed in terms of its taxonomic distribution and metabolic significance. Recent advances in synthetic biology, enzyme regulation, and pathway engineering are highlighted, emphasizing their contributions to metabolic engineering and synthetic biology. Special emphasis is given to fungi, in which the MVA pathway plays a central role in ergosterol biosynthesis, protein prenylation, and secondary metabolite production. Advances in the engineering of fungal cells, including Saccharomyces cerevisiae and other emerging fungal species, are discussed in the context of sustainable isoprenoid production. Finally, strategies for optimizing microbial production are presented, highlighting the importance of fungal synthetic biology in advancing biotechnological applications. Full article

Full-vehicle crash simulations that account for occupant injury are essential for automobile safety assessment; however, they are computationally intensive and time-consuming. In particular, dash panel deformation plays a key role in transmitting impact loads to an occupant’s lower extremities. To address this issue, this study proposes a two-stage machine learning framework for occupant lower-limb injury assessment. In the first stage, the deformation behavior of the dash panel is predicted using a machine learning model, enabling efficient generation of a wide range of deformation patterns. In the second stage, occupant lower-limb injury metrics are evaluated based on the predicted deformation using a sled model. While the ultimate objective is to establish the complete two-stage framework, the present paper is limited to the first stage. It investigates the feasibility of machine learning-based deformation prediction. Deformation distributions of simplified structural components are predicted using an XGBoost-based machine learning model, in which principal component scores derived from geometric and deformation data serve as input features. The objective is to efficiently generate representative deformation modes from limited training data rather than optimizing prediction accuracy for individual deformation responses. Numerical experiments are conducted to investigate the effectiveness of the proposed prediction framework. The results of the proposed approach show good agreement with crash simulations in overall deformation behavior, while local deformation is not reproduced perfectly. These findings demonstrate the feasibility of machine learning-based dash panel deformation prediction as the first step toward the proposed two-stage framework for lower-limb injury assessment. Full article

The relationship between urban waterfront spaces and health is widely recognized. However, the relative importance and nonlinear associations of specific attributes with residents’ physical health remain unclear. Drawing on survey data from 375 users across seven waterfront parks in Changchun, this study uses a Gradient Boosting Decision Tree model to examine how 37 perceived attributes of waterfront recreation spaces contribute to self-assessments of physical health, focusing on their relative contributions and nonlinear associations. The aim is to provide exploratory evidence for the empirical accumulation of the relationship between waterfront spaces and health. The results show that waterfront walkways and plaza lighting had high relative importance in the prediction model, at 8.8% and 8.2%, respectively. These findings suggest that spatial connectivity and around-the-clock accessibility may play a fundamental role in creating health-supportive environments. Plant landscapes, seating, pet-friendly facilities, waterside platforms, and open lawns for public access constitute secondary dimensions, with relative contributions ranging from 3.1% to 5.4%. The partial dependence plots of most attributes exhibit nonlinear associations. The pet-friendly facilities are presented in a two-step pattern in the partial dependence plot. This study proposes a conceptual reference framework for planning and offers exploratory proposals for waterfront recreation spaces. Full article

CO₂ foam fracturing has emerged as a promising stimulation technology for enhancing permeability and improving production performance in deep coalbed methane (CBM) reservoirs while providing additional potential for carbon utilization. However, the multiscale relationship between local mechanical degradation and macroscopic mechanical deterioration and fracture instability induced by CO₂ foam treatment remains insufficiently understood. In this study, four candidate coal samples originating from the Carboniferous–Permian No. 8+9 coal seam system were first comparatively characterized. Based on petrographic characteristics, mineralogical composition, and specimen integrity, representative bright coal and semi-dull coal samples from the Lüliang mining area were selected for subsequent multiscale mechanical investigations. Based on petrographic characteristics, mineralogical composition, and specimen integrity, representative bright coal and semi-dull coal samples from the Lüliang mining area were selected for petrographic analysis, X-ray diffraction (XRD), nanoindentation, conventional triaxial compression, and cracked chevron-notched Brazilian disc (CCNBD) fracture toughness tests. Coal specimens were immersed in CO₂ foam under reservoir-relevant conditions (50 °C, 20 MPa, foam quality of 65%) for different durations (0–6 days), and the coupled evolution of micromechanical properties, macroscopic mechanical behavior, and fracture resistance was evaluated. The results indicate that both coal types exhibit pronounced heterogeneity in maceral composition and mineral distribution. Bright coal is characterized by high vitrinite content and low mineral abundance, whereas semi-dull coal contains higher proportions of inertinite and minerals. Nanoindentation results reveal that mineral-rich regions possess significantly higher Young’s modulus and hardness than organic-matter-rich regions, highlighting pronounced micromechanical heterogeneity within the coal matrix. With increasing immersion time, the micromechanical properties of both coals exhibit a two-stage evolution characterized by rapid initial deterioration followed by a gradual stabilization trend. After 6 days of immersion, the average Young’s modulus and hardness of bright coal decreased by 40% and 30%, respectively, whereas those of semi-dull coal decreased by 30% and 17%. Simultaneously, macroscopic mechanical properties and fracture resistance continuously declined, with fracture toughness reductions of 74% and 55% for bright coal and semi-dull coal, respectively. Compared with semi-dull coal, bright coal exhibited higher damage sensitivity, evolving from dominant single-fracture failure to granular fragmentation, whereas semi-dull coal maintained a multi-crack composite shear failure mode. Combined micromechanical and macroscopic observations suggest that the observed mechanical deterioration may be associated with coupled effects of fluid–coal interaction, matrix softening, and progressive damage evolution. Although pore and crack evolution were not directly observed, the results suggest that coal structure plays an important role in governing damage transfer across scales and thereby influences fracture behavior and mechanical weakening. These findings provide insight into the multiscale mechanical response of coal under CO₂ foam treatment and may support the optimization of stimulation strategies for deep CBM reservoirs. Full article

Partial differential equations (PDEs) play a central role in scientific and engineering analysis, with applications spanning fluid dynamics, heat and mass transfer, electromagnetism, quantum mechanics, and financial modeling, where they are used to describe diffusion processes, wave propagation, and the evolution of complex systems over space and time. Solving multidimensional partial differential equations (PDEs) is a computationally challenging problem, even for the most advanced classical systems. Over the past decade, quantum computing has attracted significant interest as a potential approach for solving complex computational problems, including multidimensional PDEs. Although a variety of approaches have been proposed for solving PDEs, most of the existing techniques are based on variational quantum algorithms (VQAs). Despite being promising, these VQA-based approaches suffer from low accuracy, long execution times, and limited scalability. In this work, we propose a scalable and efficient quantum algorithm for solving multidimensional PDEs. Our algorithm has two variants. One variant is based on the finite difference method (FDM), classical-to-quantum (C2Q) encoding, and numerical instantiation, whereas the other is based on FDM, C2Q, and column-by-column decomposition (CCD). We have also evaluated our algorithm using several practical case studies; namely, Poisson, heat, Black–Scholes, and Navier–Stokes equations. The results show that our proposed approach achieves higher accuracy, greater scalability, and faster execution time than the VQA-based approaches. We validated these findings on both noise-free and noisy simulators, as well as on a hardware emulator and real IBM quantum hardware. Full article

Colorectal cancer frequently metastasizes to the liver, and a substantial proportion of patients present with unresectable colorectal liver metastases (CRLM), which are associated with limited survival. While systemic chemotherapy remains a central component of management, advances in liver-directed therapies and transplantation have significantly expanded therapeutic possibilities in selected patients. This review provides a comprehensive and up-to-date overview of current management strategies for unresectable CRLM, with a focus on systemic chemotherapy, intra-arterial therapies, and liver transplantation. Systemic chemotherapy plays a central role, either as conversion therapy aimed at achieving secondary resectability or as palliative treatment to prolong survival and maintain quality of life. The integration of targeted agents and molecular profiling has enabled increasingly personalized therapeutic strategies. Liver-directed therapies, including hepatic arterial infusion chemotherapy, transarterial chemoembolization, and radioembolization, provide effective local disease control and may facilitate downstaging in selected patients. In parallel, liver transplantation has re-emerged as a promising option for highly selected patients with liver-only disease, demonstrating encouraging long-term survival in recent prospective studies. However, optimal patient selection, timing, and sequencing of these modalities remain key challenges. The management of unresectable CRLM is evolving toward a multidisciplinary and individualized approach that integrates systemic, locoregional, and transplant-based strategies. In selected patients, this paradigm shift may translate into meaningful survival benefit, although further prospective studies are required to refine indications and optimize treatment sequencing. Full article

The monosaccharide transporter (MST) family mediates soluble sugar transport and distribution, playing critical roles in plant growth, development, and fruit sugar accumulation. Citrus is a globally important fruit crop whose organoleptic quality depends heavily on sugar content. However, a systematic genome-wide analysis of MST genes in citrus is lacking. In this study, we identified 68 MST genes in the Citrus sinensis genome and classified them into seven subfamilies based on phylogenetic analysis. Chromosomal localization revealed uneven distribution across all nine chromosomes. Conserved motif, domain, and gene structure analyses further supported the evolutionary conservation and functional divergence. Syntenic analysis identified segmental duplication as the main driver for family expansion, and interspecific comparisons with Arabidopsis thaliana, Solanum lycopersicum, and Malus domestica provided evolutionary insights. Promoter cis-regulatory element analysis indicated that CsMSTs may respond to light, phytohormones, and stress signals, with several members carrying sugar-responsive elements potentially involved in sugar–acid metabolism. Moreover, by integrating soluble sugar content and transcriptome data across three fruit developmental stages, we performed a correlation analysis and identified 6 CsMST members showing high correlation with sucrose, glucose, and fructose simultaneously based on the Mantel test. qRT-PCR validation and linear correlation analysis confirmed that three of these members were significantly negatively correlated with sugar levels, whereas one was significantly positively correlated. This work provides a comprehensive characterization of the MST family in citrus and highlights candidate genes for future functional dissection of sugar transport and fruit quality improvement. Full article

Solar energy has become one of the most important renewable energy sources for reducing dependence on conventional fossil-based energy systems. Rooftop photovoltaic (PV) installations play a key role in the expansion of solar energy, particularly in tropical countries such as Vietnam. This study experimentally investigates the effects of roof material, rear ventilation gap, PV technology, solar irradiance, and wind speed on the power conversion efficiency (PCE) of rooftop PV modules under tropical climatic conditions in Ho Chi Minh City, Vietnam. Three roof types (concrete, tiled, and corrugated metal), three rear ventilation gaps (10, 30, and 50 cm), and two PV technologies (monocrystalline and polycrystalline) were evaluated under real operating conditions. The results indicate that increased module temperature significantly reduces power output and PCE, even under high solar irradiance. PV modules installed on corrugated metal roofs exhibited the highest operating temperatures and the lowest efficiencies, whereas concrete and tiled roofs provided more favorable thermal conditions. Increasing the rear ventilation gap enhanced convective cooling, with the 30–50 cm configurations showing superior heat dissipation compared with the 10 cm configuration, particularly for corrugated metal roofs. The experimentally determined heat transfer coefficient ranged from 23.48 to 67.64 W m⁻² K⁻¹, exceeding the theoretical wind-based coefficient (16.86–17.22 W m⁻² K⁻¹), thereby indicating the contribution of mixed convection, radiative exchange, and roof–module thermal interactions. Monocrystalline modules consistently achieved slightly higher efficiencies than polycrystalline modules. The findings provide practical guidance for optimizing rooftop PV installations and improving energy yield in tropical climates. Full article

This study investigates whether volatility-related variables and traditional financial predictors can explain and forecast Taiwan stock returns. Using the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and eight major Taiwan industry indices, we examine the predictive ability of long-term adjusted volatility (LVadj), short-term volatility (SV), the volatility index (VIX), idiosyncratic volatility (IVOL), the earnings-to-price ratio (EP), the book-to-market ratio (BM), and the turnover ratio (TURN). The sample period spans from January 2007 to December 2025. Univariate and bivariate predictive regression models are estimated using ordinary least squares (OLS) and exponentially weighted least squares (EWLS). The empirical results show that SV exhibits the strongest in-sample explanatory power for TAIEX returns, whereas TURN plays a more important role in explaining industry-level returns. Out-of-sample forecasting performance varies considerably across industries. For TAIEX returns, the combination of LVadj and TURN provides the strongest forecasting performance, while models incorporating SV and VIX perform relatively well in several industry sectors. Overall, the results suggest that volatility-related variables provide useful predictive information under certain model specifications and industry sectors, with EWLS generally outperforming conventional OLS estimation. Full article

This study proposes a new conceptual framework that moves beyond the widely used civic/ethnic dichotomy in nationalism theory by bringing Michael Billig’s concept of banal nationalism into dialogue with the literature on everyday boundary-making. It argues that the so-called “invisible” and routine markers of banal nationalism play a constitutive role in the everyday reproduction of national belonging and in delineating who is counted as inside and who is excluded as outside. Crucially, this process is not static; it is activated and contested through the constant dialectic between everyday border-drawing and the lived reality of border-crossing. Banal nationalism, therefore, is not merely composed of unnoticed symbols, but is deeply intertwined with the quotidian mechanisms of boundary-drawing that shape rights, belonging, and processes of exclusion. In this regard, the study critiques the limitations of the civic/ethnic distinction and introduces a new model (termed “banal boundary-making”) which links banal nationalism to practices of boundary construction and the management of border-crossers across linguistic, affective, material, and administrative dimensions. The aim is to contribute to nationalism theory with a mechanism-oriented approach that transcends the binary of civic versus ethnic nationalism by showing how boundaries are performatively redrawn at the very moment they are crossed. Full article