Search Results (6,534)

The Job Content Questionnaire JCQ 2.0 (JCQ 2.0) thoroughly revises the well-known JCQ 1, based on an expanded Demand/Control theory-consistent platform with new scales, the Associationalist Demand Control (ADC) theory. This study tests the JCQ 2.0 in an urban population in Germany (N = 2326) for concurrent validity of each specific task and organizational-level scale and the relative importance of the task and organizational-level scales, using burnout and commitment as outcome measures. Cross-sectional regression analyses in the test and validation samples were run after multiple imputation. Five JCQ 2.0 task-level scales explain 44% of burnout variance; three JCQ 2.0 task-level scales explain 25% of commitment variance. Adding organizational-level scales, organizational disorder and rewards, increases the explained variance for burnout by five percentage points; consideration of workers’ interests and reward add four percentage points of variance for commitment. Organizational-level scales alone explain 33% and 28% of the variance in burnout and commitment, respectively, due to three and five organizational-level scales for both outcomes. Thus, the JCQ 2.0 task and organizational-level scales show substantial relations to work- and health-related outcomes, with task level more relevant for burnout and organizational level more relevant for commitment. The most strongly related JCQ 2.0 scales have evolved from new ADC theory, confirming its utility. Full article

This study examines the application of Geographic Information Systems (GIS) in tourism planning and sustainable destination management, using Gelnica, Slovakia, as a case study. The research highlights a key challenge—the absence of systematic visitor data collection—which hinders tourism market analysis, demand assessment, and strategic decision-making. The study integrates alternative data sources, including the Google Places API, to address this gap to analyse Points of Interest (POIs) based on user-generated reviews, ratings, and spatial attributes. The methodological framework combines data acquisition, spatial analysis, and GIS-based visualisation, employing thematic and heat maps to assess tourism resources and visitor behaviour. The findings reveal critical spatial patterns and tourism dynamics, identifying high-demand zones and underutilised locations. Results underscore the potential of GIS to optimise tourism infrastructure, enhance visitor management, and inform evidence-based decision-making. This study advocates for systematically integrating GIS technologies with visitor monitoring and digital tools to improve destination competitiveness and sustainability. The proposed GIS-driven approach offers a scalable and transferable model for data-informed tourism planning in similar historic and environmentally sensitive regions. Full article

Factors related to catering distribution are typically characterized by local changes, but few studies have quantitatively investigated the inherent spatial nonstationarity correlations. In this study, a multiscale geographically weighted regression (MGWR) model was adopted to locally examine the impact of various factors on catering distribution, which were obtained through a novel method incorporating GeoDetector analysis and exploratory factor analysis (EFA) using point of interest (POI) data. GeoDetector analysis was used to identify the effective variables that truly contribute to catering distribution, and EFA was adopted to extract interpretable latent factors based on the underlying structure of the effective variables and thus eliminate multicollinearity. In our case study in Nanjing, China, four primary factors, namely commuting activities, shopping activities, tourism activities, and gathering activities, were retained from eight categories of POIs with respect to catering distribution. The results suggested that GeoDetector working in tandem with EFA could improve the representativeness of factors and infer POI configuration patterns. The MGWR model explained the most variations (adj. R²: 0.903) with the lowest AICc compared to the OLS regression model and the geographically weighted regression (GWR) model. Mapping MGWR parameter estimates revealed the spatial variability of relationships between various factors and catering distribution. The findings provide useful insights for guiding catering development and optimizing urban functional spaces. Full article

Through the lens of the theory of mediamorphosis, the authors intend to demonstrate scientific contributions in the native languages of Croatian and Slovenian scholars to the study of digital journalism. This paper provides an insight into the common points but also similarities and differences in the evolution of interests and approaches of these scientific communities, which are special in that they are the only two members of the European Union that also share the legacy of the socio-political system of the former Yugoslavia. The central goal of this study was to identify, evaluate, and synthesize all the relevant empirical research, categorized only as original scientific papers that had been published from 1994 to 2024, together with scientific monographs on digital media and journalism, in order to contribute to filling the gap in regard to the review of local literature and internationalized local research. The primary search on the following terms and keywords: digital media, digital journalism, electronic publications, Internet, Internet journalism, Internet portals, new media, online media, online journalism, online portals, and web portals was conducted via several local databases (HRČAK, CEEOL, SCIndex, and COBISS). Using a systematic literature review strategy and content analysis methods, this study deeply explored several aspects of the empirical studies (N = 24) it found: metadata, theoretical background, research objects, methodology, and results. The articles were, in principle, published in local journals with high international impact and included in major databases WOS and SCOPUS. The findings show the first articles in Croatia date only from 2007 and from 2010 in Slovenia. With some interruptions, they are published relatively regularly. In the corpus analyzed, two scientific monographs from Croatia and one from Slovenia were included. The research confirms that the topics studied in this region and the methodologies used are characteristic of the contemporary trends in digital journalism studies. Although the thematic focuses are somewhat similar—journalistic texts and writing; editorial protocols; practices; policies; division of labor; organization; platform regulations and preferences; and audience behavior—there is a significant difference in the methodological approach; Croatian scholars rely on output manifestation and the analysis of media content; while Slovenian colleagues mainly research media organizations from the inside; through interviews. Full article

Background: While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patients have understandable questions and concerns regarding its safety, efficacy, and potential for dependency and addiction. Providing clear, accurate, and reliable information is essential for fostering patient understanding and acceptance. Generative artificial intelligence (AI) applications offer interesting avenues for delivering patient education in healthcare. This study evaluates the reliability, accuracy, and comprehensibility of ChatGPT’s responses to common patient inquiries about opioid long-term therapy. Methods: An expert panel selected thirteen frequently asked questions regarding long-term opioid therapy based on the authors’ clinical experience in managing chronic pain patients and a targeted review of patient education materials. Questions were prioritized based on prevalence in patient consultations, relevance to treatment decision-making, and the complexity of information typically required to address them comprehensively. We assessed comprehensibility by implementing the multimodal generative AI Copilot (Microsoft 365 Copilot Chat). Spanning three domains—pre-therapy, during therapy, and post-therapy—each question was submitted to GPT-4.0 with the prompt “If you were a physician, how would you answer a patient asking…”. Ten pain physicians and two non-healthcare professionals independently assessed the responses using a Likert scale to rate reliability (1–6 points), accuracy (1–3 points), and comprehensibility (1–3 points). Results: Overall, ChatGPT’s responses demonstrated high reliability (5.2 ± 0.6) and good comprehensibility (2.8 ± 0.2), with most answers meeting or exceeding predefined thresholds. Accuracy was moderate (2.7 ± 0.3), with lower performance on more technical topics like opioid tolerance and dependency management. Conclusions: While AI applications exhibit significant potential as a supplementary tool for patient education on opioid long-term therapy, limitations in addressing highly technical or context-specific queries underscore the need for ongoing refinement and domain-specific training. Integrating AI systems into clinical practice should involve collaboration between healthcare professionals and AI developers to ensure safe, personalized, and up-to-date patient education in chronic pain management. Full article

Even though the interaction between plants and the outdoor wind environment has been a focus of interest for scholars from various disciplines in recent years, the relationship between campus outdoor wind comfort and plant configuration in subtropical coastal areas remains poorly understood. Using the outdoor space of a typical subtropical coastal campus (the Donghai Campus of Quanzhou Normal University) as a case study, we explore the connection between plant configuration and outdoor wind comfort. The campus outdoor area is segmented into roads, squares, and courtyards to investigate this relationship. To achieve this goal, a 9-h fixed-point measurement method and the PHOENICS software (2016) were utilized. The following are the findings of the research: (1) Within the realm of trees, the banyan, Bischofia javanica, and kapok species exhibit a notable impact on wind speed reduction, with respective wind reduction ratios of 1.22, 1.31, and 1.29. Notably, among shrubs, waringin stands out with a wind reduction ratio of 1.83. (2) The tree + shrub + grass combination is the most effective method for reducing wind among the three plant facade configurations. Specifically, the combination of Bischofia javanica, waringin, and carpet grass has the best wind reduction effect, with a wind reduction ratio of 2.55. (3) Adding Bischofia javanica, waringin, and grass plants in areas with high wind speeds can effectively improve wind comfort. This provides directions for creating a comfortable wind environment on university campuses situated in subtropical coastal areas. Full article

Chia seeds have emerged as a promising natural substitute for eggs in various baked products due to their unique gelling properties and ability to bind ingredients. Their gelling abilities closely mimic the moisture-retention functions of eggs in baked goods. The growing interest in plant-based alternatives creates a larger market for more sustainable foods. However, negative sensory attributes are found in baked goods with high chia seed content. The objective of this research was to explore the acceptance of chia gel as an egg replacer in brownies by documenting changes in product quality and chia functionality as an egg substitute. Brownies were made using Ghirardelli brownie mix, with two applied treatments containing chia gel, replacing 50 and 100 percent eggs (w/w). A sensory evaluation was performed with 120 participants to document their levels of acceptance of five attributes with a five-point hedonic scale: appearance, color, texture, consumer overall opinion, and purchase willingness. There were no significant differences between the 50% (w/w) substitution and control (p > 0.05). A 100% (w/w) substitution showed low acceptance for each attribute except aroma (p < 0.05). Flavor and taste were found to be leading determinants of overall opinion and purchase willingness (p < 0.05). These results highlighted the potential for chia seeds to be a viable alternative when replacing up to half of the egg content in brownies, while still maintaining sensory quality and satisfaction. Future research will explore the rheological properties of chia seed gels and their interaction with macro-/micro molecules in different food systems. Full article

The identification of the multifunctional combination of production–living–ecological spaces (PLES) in urban agglomerations, particularly in urban cores and peri–urban areas, is a critical issue in the urbanization process. This study, using the Hohhot–Baotou–Ordos–Yulin (HBOY) urban agglomeration, a key node in China’s “Two Horizontals and Three Verticals” urbanization strategy, proposes a hexagonal grid–based PLES quantification framework using POI data. A three–level POI classification system was developed, with functional element weights determined via the Analytic Hierarchy Process and public perception surveys. The framework quantifies PLES within hexagonal grids and analyzes its patterns and functional coupling mechanisms using spatial overlay, Average Nearest Neighbor Index (ANNI), kernel density analysis, and spatial autocorrelation analysis. The following results were obtained. (1) PLES classification accuracy reached 90.83%, confirming the reliability of the method. (2) The HBOY urban agglomeration exhibits a dominant production space (40.84%), balanced living and ecological spaces (29.37% and 29.36%, respectively), and a severe shortage of mixed spaces (0.43%). (3) Production and living spaces show significant clustering ($ANNI$ ≤ 0.581), mixed spaces follow ($ANNI$ = 0.660), and ecological spaces are relatively evenly distributed ($ANNI$ = 0.870). (4) The spatial distribution patterns show that production and living spaces exhibit “core concentration with peripheral dispersion”, ecological spaces show “block concentration with point–like distribution”, and mixed spaces show “point–like dispersion”. (5) Production and living spaces exhibit strong spatial autocorrelation ($Moran’s I$ > 0.7) and the highest spatial correlation ($Bivariate Moran’s I$ = 0.692), while the spatial correlation with ecological spaces is weakest ($Bivariate Moran’s I$ = 0.150). The proposed PLES identification framework, with its efficiency and dynamic updating potential, provides an innovative approach to urban spatial governance under the global Sustainable Development Goals. The findings offer integrated decision–making support for spatial diagnosis and functional regulation in the ecologically vulnerable areas of northwest China’s new urbanization. Full article

The rise in international terrorism has led to a rise in citizenship deprivation. Depriving a person of citizenship represents a harsh national security measure. Although both Australia and the UK have citizenship deprivation legislation, the judicial response has differed. In Australia, two laws providing for deprivation of citizenship have been found unconstitutional. In the UK, significant challenges to citizenship deprivation decisions have failed, including those relating to Shamima Begum, deprived of UK citizenship in 2019, whose request for permission to appeal in respect of the decision was rejected by the UK Supreme Court in August 2024. In this context, it is striking that despite the lesser degree of human rights protection under the Australian Constitution and federal statutes compared with the UK, the Australian courts may have arrived at a significantly rights protective approach to citizenship deprivation, leading to an important procedural safeguard by requiring courts to make decisions on citizenship deprivation. This underlines interesting features of the Australian system, in which the development of doctrines under a written constitution that limits legislative power, such as through the separation of powers, can sometimes lead to significant (if uneven) rights protective outcomes. Short of a shift in UK constitutional law doctrine around the separation of powers (which is unlikely), the Australian decisions cannot be mirrored in the UK. However, they may point towards the possibility of stronger procedural safeguards in the context of citizenship deprivation, as well as some potential human rights law implications. Full article

Some plants belonging to the Leontodon sect. Asterothrix were collected from southern Albania. They were compared with the closest taxon (L. albanicus s.str.) from morphological and molecular (AFLPseq fingerprinting) points of view. Uni- and multivariate statistical analyses of morphological data revealed distinctive discontinuities—especially in terms of the characteristics of the indumentum–that are paralleled by separation into two genetic clusters in AFLPseq fingerprinting. Following an integrated taxonomic approach based on morphological, genetic, and geographical sources of evidence, we show that the newly discovered population should be regarded as a new subspecies named Leontodon albanicus subsp. acroceraunicus. The new taxon is described and illustrated, and its relationship with L. albanicus subsp. albanicus is also discussed. We have no data to assess conservation status according to IUCN categories and criteria; however, considering that it is probably limited to the Acroceraunian Mountains, it deserves particular conservation interest. Full article

We propose a novel recommendation model for diversifying furniture recommendations and aligning them more closely with user preferences. Our model builds upon the Recommender Variational Autoencoder (RecVAE), known for its effectiveness and ability to overcome overfitting by linking user feedback with user representation. However, since RecVAE relies on implicit feedback data, it tends to exhibit bias towards popular items, potentially creating a recommendation filter bubble. While previous work has proposed user profiles learned from a user’s personal information and the textual data of an item, we propose user profiles generated from the image data on the item given the points of interest when selecting items in e-commerce and the ease of data acquisition. We hypothesize that to capture user preferences and provide tailored furniture recommendations accurately, it is essential to incorporate both reviewed text information and visual data on furniture pieces. To utilize user preferences well, we incorporate the Conditional Variational Autoencoder (CVAE) architecture, where both the encoder and decoder are conditioned on a user profile indicating the user’s preference information. Additionally, the user profile is trained to capture the user’s preference for a specific predefined style. We trained our models using MovieLens-20M and the Amazon Furniture Review Dataset, a new dataset dedicated to furniture recommendations. As a result, on both datasets, our model outperformed previous models, including RecVAE. These findings show the effectiveness of our user profile approach in diversifying and personalizing furniture recommendations. Full article

Wheat farming is of utter importance in every country around the world, since it is a critical crop that contributes to food security and rural development. Given this importance, this research work investigates trends, determinants, and spatial variability in Polish wheat production between the years 2004 and 2023, with a key interest in productivity, resilience, and sustainable farming. This work will apply spatiotemporal analysis, statistical modeling, and ARIMA forecasting in the identification of the environmental, economic, and policy factors that interact with the wheat yield. Determinants include climatic variables, temperature, and precipitation, production costs, and market prices. These results point to great regional disparities in yield; the apparently better regions, such as Opole and Pomerania, enjoy exceptionally good environmental conditions with good access to modern technology, while regions like Podlasie and Subcarpathia are characterized by poor soil quality and a shortage of resources. This paper has pointed out the need for differential intervention policies that could contribute to reducing such yield gaps, increasing resilience to climate change, and hence contributing to sustainable wheat production growth. The stabilized yields projected underline the resilience of the sector to various challenges, from climate variability to market fluctuations. The results also indicate how innovative practices, supported by enabling policy frameworks, are essential in the promotion of wheat production in an environmentally friendly way, such as precision agriculture. The present research work will provide useful tools for policymakers, researchers, and other stakeholders by providing active insights into how to achieve equitable and sustainable agricultural development in Poland. Full article

The stone Ensemble from Corbii de Piatrǎ Romania arouses a continuous scientific interest, with the final goal being to obtain an exhaustive and multidisciplinary package of results that will become the support of an extensive restoration project. The cave painting stands out as the most important and most affected by the advanced degradation among the historical monuments in Romania. This article provides for the first time a radiocarbon dating of the first forms of painting by establishing the age of the mortar/plaster used as a pictorial support. Being a very complex context from the point of view of the type of datable material and the disappearance over time through degradation of other elements that would ensure a simpler and more reliable radiocarbon dating (such as the straws used to form the material), it was necessary to use a multidisciplinary approach for the selection of samples and for supporting the radiocarbon results. The set of analyses consisted of visualization techniques through microscopy and compositional analysis, providing information on the similarities/differences between the samples, the degradation mechanisms/impurities and the quality of the calcium carbonate dated by the Accelerator Mass Spectrometry (AMS) technique. The results supported each other, ensured the selection of reliable radiocarbon data and established the most probable moment of the early interventions, namely the two phases corresponding to the 14th century. Full article

There is continuing interest in using biologics in root coverage procedures. The aim of the present study was to explore the 2-year outcomes following multiple gingival recessions (GRs) coverage using the application of cross-linked hyaluronic acid (HA) in combination with modified coronally advanced tunnel (MCAT) together with subepithelial connective tissue graft (SCTG). Adopting a split-mouth design, 266 GRs were randomly allocated to either a test (MCAT + SCTG + HA) or control group (MCAT + SCTG). The main outcome variable was the stability of the obtained mean root coverage from 6 months to 24 months. Twenty-four patients were evaluated at the 2-year follow-up. Comparisons between test and control sides at the same time points were evaluated using the t-test for independent variables. The changes in time were compared by one-way analysis of variance with the Tukey post hoc test separately for the test and control groups. The study protocol was registered at ClinicalTrials.gov (NCT05045586). At 2 years, around ninety percent of recessions showed complete root coverage (87.02% of the test group and 91.90% of the control group). Mean root coverage did not differ between the two sides, with 81.37 ± 37.17% (test) and 84.63 ± 35.33% (control), respectively. Significant improvements in the reduction of gingival recession height, clinical attachment level gain, gingival thickness increase, and the root esthetic score were found in both groups after 2 years, but no statistically significant difference was observed between the groups. The adjunctive application of HA significantly improved soft tissue texture (STT, 0.94 ± 0.23 for the test group vs. 0.71 ± 0.46 for the control group). Treatment of multiple gingival recessions with MCAT + SCTG with or without HA yielded marked and comparable 2-year clinical outcomes, which could be maintained over a period of 24 months. The clinical relevance of the demonstrated significant difference in STT between groups may be minimal. Full article

Coronary artery disease remains the leading cause of morbidity and mortality worldwide. With the changing clinical manifestation and novel therapeutical options, precise disease phenotyping becomes increasingly important at the point of care. In the management of coronary artery disease, myocardial perfusion imaging (MPI) remains the cornerstone of clinical practice. Although traditionally MPI has been primarily performed with single photon emission computed tomography (SPECT), nowadays, given the changing spectrum of the disease, greater precision and additional assessment of myocardial blood flow are desired. Due to the fundamental advantages of PET over SPECT, i.e., higher spatial resolution, accurate attenuation correction for each scan, and higher count rates, the sensitivity and specificity of PET MPI are higher than those of SPECT MPI and are estimated to be approximately 90–92% vs. 83–88% and 81–87% vs. 70–76%, respectively, according to meta-analysis data. Consequently, over the past decade, we have witnessed an increased uptake of positron emission tomography (PET) MPI. With the improved spatial resolution, the ability to quantify myocardial blood flow, and the potential to depict the burden of coronary atherosclerosis with low-dose computed tomography, PET/CT is uniquely positioned to facilitate a comprehensive non-invasive assessment of disease, providing an opportunity for precision medicine. The wealth of data obtained during a single imaging session can be challenging to integrate at the time of image analysis. There has therefore been an increasing interest in developing predefined thresholds or variables (scores) which combine the multidimensional data acquired with PET MPI. Beyond MPI, PET can also serve for the assessment of disease activity at the atherosclerotic plaque level, further refining our understanding of the biology of coronary artery disease and providing hope for enhanced prediction of myocardial infarctions. In this narrative review, we present the current applications of PET MPI in coronary artery disease and focus specifically on two areas that have recently garnered considerable interest—the integration of multiparametric PET MPI data and coronary plaque activity PET imaging. Full article