Search Results (465)

Background/Objectives: Anxiety and depression are common among individuals with coronary heart disease (CHD) and pose significant barriers to lifestyle modifications. Evidence on sex-related differences in anxiety and depression following cardiac rehabilitation (CR) remains inconclusive. This study aims to assesses the prevalence and changes in anxiety and depression symptoms during CR and explores potential sex differences. Methods: A quasi-experimental one-group pretest–post-test design was employed, measuring self-reported anxiety and depression symptoms utilizing the Hospital Anxiety and Depression Scale (HADS). Results: HADS was reported by 175 patients, 122 men and 53 women, at CR admission and discharge between 1 January 2022 and 30 April 2024. The prevalence of anxiety symptoms (HADS-anxiety score ≥ 8) significantly decreased from 28.2% at admission to 16.9% at discharge, while depression prevalence dropped (HADS-depression score ≥ 8) from 16.3% to 6.2%. Statistically significant sex differences were observed in depression prevalence at discharge, with women exhibiting lower symptom prevalence. Both sexes experienced significant HADS-anxiety and HADS-depression score reductions (p < 0.001) in both the overall sample and the sub-analysis of patients presenting with symptoms at admission. Women initially presented higher HADS-anxiety scores and significantly greater HADS-anxiety score reductions (p = 0.014) than men. No significant sex differences were observed in the reduction in HADS-depression scores. Conclusions: The prevalence of anxiety and depression symptoms significantly decreased among both sexes compared to admission, with women experiencing greater symptom reduction at discharge than men. Further research is needed to determine specific CR components contributing to these improvements. Full article

Emergency preparedness training in organizations frequently involves simple evacuation drills triggered by fire alarms, limiting the opportunities for broader skill development. Digital technologies, particularly virtual reality (VR), offer promising methods to enhance learning for handling incidents and evacuations. However, implementing VR-based training remains challenging due to unclear integration strategies within organizational practices and a lack of empirical evidence of VR’s effectiveness. This paper explores how VR-based training tools can be implemented in schools to enhance emergency preparedness among students, teachers, and staff. Following a design science research process, data were collected from a questionnaire-based study involving 12 participants and an exploratory study with 13 participants. The questionnaire-based study investigates initial attitudes and willingness to adopt VR training, while the exploratory study assesses the VR prototype’s usability, realism, and perceived effectiveness for emergency preparedness training. Despite a limited sample size and technical constraints of the early prototype, findings indicate strong student enthusiasm for gamified and immersive learning experiences. Teachers emphasized the need for technical and instructional support to regularly utilize VR training modules, while firefighters acknowledged the potential of VR tools, but also highlighted the critical importance of regular drills and professional validation. The relevance of the results of utilizing VR in this context is further discussed in terms of how it can be integrated into university curricula and aligned with other accessible digital preparedness tools. Full article

This study employs density functional theory (DFT) to investigate the electronic and optical properties of molybdenum (Mo) and chalcogen (S, Se, Te) co-doped anatase TiO₂. Two co-doping configurations were examined: Model 1, where the dopants are adjacent, and Model 2, where the dopants are farther apart. The incorporation of Mo into anatase TiO₂ resulted in a significant bandgap reduction, lowering it from 3.22 eV (pure TiO₂) to range of 2.52–0.68 eV, depending on the specific doping model. The introduction of Mo-4d states below the conduction band led to a shift in the Fermi level from the top of the valence band to the bottom of the conduction band, confirming the n-type doping characteristics of Mo in TiO₂. Chalcogen doping introduced isolated electronic states from Te-5p, S-3p, and Se-4p located above the valence band maximum, further reducing the bandgap. Among the examined configurations, Mo–S co-doping in Model 1 exhibited most optimal structural stability structure with the fewer impurity states, enhancing photocatalytic efficiency by reducing charge recombination. With the exception of Mo–Te co-doping, all co-doped systems demonstrated strong oxidation power under visible light, making Mo-S and Mo-Se co-doped TiO₂ promising candidates for oxidation-driven photocatalysis. However, their limited reduction ability suggests they may be less suitable for water-splitting applications. The study also revealed that dopant positioning significantly influences charge transfer and optoelectronic properties. Model 1 favored localized electron density and weaker magnetization, while Model 2 exhibited delocalized charge density and stronger magnetization. These findings underscore the critical role of dopant arrangement in optimizing TiO₂-based photocatalysts for solar energy applications. Full article

The Internet of Things (IoT) has enabled the development of various applications for energy, exploiting unprecedented data collection, multi-stage data processing, enhanced awareness, and control of the physical environment. In this context, the availability of tools for efficient development is paramount. This paper explores and validates the use of a generic, flexible, open-source measurement-oriented data collection framework for the energy field, namely Measurify, in the Internet of Things (IoT) context. Based on a literature analysis, we have spotted three domains (namely, vehicular batteries, low voltage (LV) test feeder, and home energy-management system) and defined for each one of them an application (namely: range prediction, power flow analysis, and appliance scheduling), to verify the impact given by the use of the proposed IoT framework. We modeled each one of them with Measurify, mapping the energy field items into the abstract resources provided by the framework. From our experience in the three applications, we highlight the generality of Measurify, with straightforward modeling capabilities and rapid deployment time. We thus argue for the importance for practitioners of using powerful big data management development tools to improve efficiency and effectiveness in the life-cycle of IoT applications, also in the energy domain. Full article

Reliable wireless communication is essential for mobile robotic systems operating in dynamic environments, particularly in the context of smart mobility and cloud-integrated urban infrastructures. This article presents an experimental study analyzing the impact of robot motion dynamics on wireless network performance, contributing to the broader discussion on data reliability and communication efficiency in intelligent transportation systems. Measurements were conducted using a quadruped robot equipped with an onboard edge computing device, navigating predefined trajectories in a laboratory setting designed to emulate real-world variability. Key wireless parameters, including signal strength (RSSI), latency, and packet loss, were continuously monitored alongside robot kinematic data such as speed, orientation (roll, pitch, yaw), and movement patterns. The results show a significant correlation between dynamic motion—especially high forward velocities and rotational maneuvers—and degradations in network performance. Increased robot speeds and frequent orientation changes were associated with elevated latency and greater packet loss, while static or low-motion periods exhibited more stable communication. These findings highlight critical challenges for real-time data transmission in mobile IoRT (Internet of Robotic Things) systems, and emphasize the role of network-aware robotic behavior, interoperable communication protocols, and edge-to-cloud data integration in ensuring robust wireless performance within smart city environments. Full article

Methane hydrate is a crystalline compound in which methane is trapped within a water lattice under high-pressure, low-temperature conditions. Its presence in oceanic and permafrost sediments makes it a promising alternative energy source, but also a potential contributor to climate change. Accurate in situ detection remains a major challenge due to hydrate’s dispersed occurrence and the limitations of conventional geophysical methods. This study investigates the feasibility of using the associated alpha particle (AAP) technique for the direct detection of methane hydrate. A series of laboratory measurements was conducted on sand-based samples with varying levels of methane hydrate simulant. Using a 14 MeV neutron generator and a LaBr₃ gamma detector, the 4.44 MeV carbon peak was monitored and calibrated against volumetric hydrate saturation. The minimum detection limit (MDL) was experimentally determined to be $(67\pm 25)\%$. Although the result is subject to high uncertainty, it provides a preliminary benchmark for evaluating the method’s sensitivity and highlights the potential of AAP-based gamma spectroscopy for in situ detection, especially when supported by higher neutron flux in future applications. Full article

Establishing good contact arrangements between children in public care and their parents is of great significance for those involved. To ensure the child’s protection and safety, supervised contact may be necessary. This can be a complex situation that necessitates high-quality social work and thorough reflection. Empirical data were derived from a vignette study and eight focus groups conducted by the Norwegian Child Welfare Services. Our research considers the following questions: How does supervised contact become a theme when assessing contact arrangements for children and parents after the child has been taken into care, and how is the concept of supervised contact understood by social workers? The findings show that supervised contact may be recommended for various reasons, such as control, support, and safety, to observe and gather more information. This study reveals a need for social workers to develop greater awareness in their assessments and decisions regarding the implementation of supervised contact. It is important to explore the various ways supervised contact is conceived and practiced. We also need to critically discuss the opportunities and challenges it represents, as well as the need to provide support and guidance to the child and parents and facilitate positive collaboration with child welfare services. Full article

Background/Objectives: For families with a child with type 1 diabetes, it is often complex and challenging to decide how responsibilities for diabetes care should be divided between parents and children, and how and when these responsibilities should be transferred from parent to child. A smooth transfer of responsibilities is assumed to be key for optimal diabetes outcomes and a successful shift from paediatric to adult health care. However, a theoretical framework to conceptualise the division and transfer of diabetes care responsibilities that brings together the scattered literature regarding these topics is still lacking. Methods: This narrative review synthesises insights from (a) prior quantitative and qualitative studies in the context of paediatric diabetes care, (b) prior reviews regarding the transfer of treatment responsibilities for families of children with a chronic condition, and (c) existing theoretical models in paediatrics, child development and parenting. Results: The division of responsibilities appears to be affected by a complex interaction between child, parent and context characteristics. These factors seem to change the division of diabetes care responsibilities by affecting (1) child/parental readiness to assume responsibility, (2) the alignment between the child’s and the parent’s readiness and (3) context support and demands. The “success” of the division and transfer of diabetes care responsibilities can be defined by biomedical, emotional, behavioural and parent–child interaction outcomes. Conclusions: The presented conceptual framework can guide research and clinical practice in studying and evaluating the division and transfer of diabetes care responsibilities. Full article

This study examines the differences in growth patterns, biomass accumulation, and carbon storage between planted European beech and Norway spruce in the Western Carpathians, Slovakia. Two approaches were used to analyze young forest trees and stands: destructive tree sampling and repetitive tree measurements. Biomass modeling was conducted for individual tree components and entire trees, demonstrating that stem diameter and height were strong predictors of biomass. Notably, beeches exhibited greater tree biomass than spruces when analyzed at the same stem diameter, whereas the opposite trend was observed when tree height was used as the predictor. At the stand level, biomass modeling incorporated the mean diameter, mean height, or stand age. Two primary tree components were analyzed: woody parts, which store carbon long term, and foliage, which stores carbon for shorter periods. Stand age emerged as the most reliable predictor, providing real-time estimates of biomass and carbon storage. At a maximum modeled stand age of 12 years, beech biomass stock was 18 Mg ha⁻¹, compared to 58 Mg ha⁻¹ for spruce (uniform tree spacing of 2.0 × 2.0 m for both species was considered). Correspondingly, carbon storage values were 9 Mg ha⁻¹ for beech and 29 Mg ha⁻¹ for spruce, demonstrating a threefold difference in favor of spruce. The study also examined the biomass transition to necromass, specifically foliage litter loss. Over 12 years, spruce stands shed 10.3 Mg ha⁻¹ of needle litter, while beech stands lost 5.4 Mg ha⁻¹. A 12-year-old beech stand fixed-carbon (necromass in form of foliage litter was not included) equivalent to about 30 Mg CO₂ per ha, while a spruce stand of the same age fixed nearly 107 Mg CO₂ per ha. The carbon storage in live trees translates into financial values about EUR 2000 per ha for beech and over EUR 7000 per ha for spruce, highlighting an economic advantage for spruce in carbon sequestration markets as part of climate sustainability efforts. However, in practice, these differences could be partly reduced through denser (more than double) planting of beech compared to spruce. Full article

Background: The Hopkins Symptom Checklist (HSCL) is a widely used measure of anxiety and depression symptoms. The short form HSCL-5 is especially suitable for large population-based studies, but its ability to detect mental disorders in the general population remains unknown. The aim of the study was to assess how well the HSCL-5 identified cases of generalized anxiety disorder (GAD) and major depressive disorder (MDD) measured by the Composite International Diagnostic Interview (CIDI) 5.0 and to find the optimal sex-specific cut-off levels of the HSCL-5. Methods: Participants from the population-based Trøndelag Health Study (HUNT) in Norway were recruited for the current study. Between April and September 2020, 1343 participants (64% women) aged 20–65 years completed the CIDI, followed by the HSCL-5. The overall agreement between the HSCL-5 and GAD or MDD measured by CIDI was examined with Receiver Operator Characteristics (ROC) analysis. Sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV) for different cut-off levels were assessed. Results: The area under the curve for GAD or MDD was 0.90 (CI 95% = 0.85–0.95) for women and 0.85 (CI 95% = 0.68–1.00) for men. For women, a cut-off level of ≥1.80 had the best balance between sensitivity (85%) and specificity (84%), while the corresponding numbers were ≥2.00, 73%, and 93% for men. The global PPV was 21%, while the NPV was 99%. Conclusions: The HSCL-5 has high sensitivity and specificity for identifying cases of GAD or MDD. In the current study, the positive predictive value of HSCL-5 was low. Full article

Power cables transmit electricity from offshore wind turbines (OWTs) to consumers. The configuration, design, and optimization of power cables for floating offshore wind turbines (FOWTs) are subject to various objectives, variables, and constraints. These components are outlined, and existing research gaps that need to be addressed for a more sustainable and robust design for future developments are highlighted. The main aim of power cable configuration design is to optimize performance and minimize costs. This can be achieved through thoughtful consideration of variables like power cable selection, configuration design, and the integration of specialized components and ancillaries. An extensive overview of constraints for power cable configuration design is provided, and the most important ones are identified. The local conditions determine which constraints are of key importance in optimization. Environmental factors like wind, waves, and especially currents significantly influence design processes, introducing uncertainties when comprehensive data are lacking. Marine growth posed a significant challenge in prior FOWT projects and must be considered carefully. Considering the potential impact of climate change is crucial, especially for extreme weather events. Early integration of environmental considerations and assessment of effects on socio-economic impacts is essential for a successful project. The power cable response is also influenced by its inherent limitations, including tension and compression thresholds, curvature constraints, and the necessary minimum fatigue life. A flowchart is provided to aid in choosing variables and constraints in the design and optimization processes. Full article

Apple production in Western Norway faces challenges due to climatic constraints and varying phenology. It is essential for cultivars to adapt to regional ecological factors, while suitable pollinators are necessary for successful cultivation. This study examined the reproductive biology of two newly introduced apple cultivars, ‘Eden’ (Wursixo) and ‘Fryd’ (Wuranda), over two years (2022–2023). Key qualitative and quantitative parameters of reproductive biology were analyzed, including in vitro pollen germination, pollen tube growth within the style and ovary locules, flowering overlap time, and fruit set. The study involved cross-pollination between the pollen recipient cultivars ‘Eden’ and ‘Fryd’, with various pollenizers: ‘Rubinstep’, ‘Red Aroma’, ‘Elstar’, ‘Asfari’ and ‘Professor Sprenger’, as well as self-pollination and open pollination. According to the results from the progamic phase of fertilization and fruit set, the cultivars ‘Rubinstep’, ‘Asfari’, and ‘Fryd’ were the best pollenizers for ‘Eden’. In contrast, ‘Rubinstep’, ‘Eden’, and ‘Elstar’ were the best pollenizers for ‘Fryd’. Looking only at the overlapping of the flowering time between pollen recipient and pollen donor, ‘Professor Sprenger’ and ‘Fryd’ were the best pollenizers for ‘Eden’, while ‘Professor Sprenger’ and ‘Eden’ were good pollenizers for ‘Fryd’. Full article

The human T-cell leukemia type-1 (HTLV-1) retrovirus establishes chronic life-long infection in a fraction of infected individuals associated with severe pathological conditions. Although the mechanism driving disease development is not fully understood, current evidence indicates the essential functions of viral regulatory proteins. Among these, the p13 protein has previously been shown to localize to the inner mitochondrial membrane in T cells, altering mitochondrial biology and T-cell function. While CD4⁺ T cells are the primary cell target of HTLV-1 infection, genomic viral DNA has also been detected in monocytes, macrophages, and dendritic cells, which orchestrate innate and adaptive immunity and play a critical role in protecting against virus-induce diseases by establishing the appropriate balance of pro and anti-inflammatory responses. Given the central role of mitochondria in monocyte differentiation, we investigated the effect of p13 in monocytes/macrophages and found that by localizing to mitochondria, p13 affects mitochondrial respiration. Moreover, we demonstrate that p13 expression affects macrophage polarization to favor the recruitment of CD4⁺ T cells, the primary target of the virus, potentially facilitating the spread of viral infection and the development of disease. Full article

This article examines how belonging and aspirations among women with a migrant background are shaped by experiences of discrimination in the Norwegian labour market. While extensive research exists on policy implementation and public measures aimed at integrating migrants into the labour market, less focus has been placed on understanding how migrants’ work aspirations and desires are shaped. This article builds on ethnographic fieldwork conducted among migrant women in a Norwegian city. Drawing on research suggesting that migrants’ agency is influenced by actual or perceived opportunity structures, I explore how discrimination, as a distinct structural barrier, (re)shape aspirations and belonging among women with migrant backgrounds. In this article, I explore identity and belonging as dynamic and context-dependent, rather than fixed categories like gender, ethnicity, or class. The findings show that discrimination is a salient part of women’s experiences in the labour market and further illustrate how discrimination affects their sense of belonging, and their aspirations connected to work-life. Some women seek belonging in arenas other than the labour market in society, where they experience that their resources are valued. Full article