The added value of the cognition, dining, gastrointestinal problems, sleep and tiredness bolt-on dimensions to the EQ-5D-5L in patients with coeliac disease.

Objectives: Multiple studies suggest that the EQ-5D may overestimate health-related quality of life (HRQoL) in patients with coeliac disease (CD). We aimed to develop and psychometrically test potentially relevant bolt-on dimensions to improve the measurement performance of the EQ-5D-5L in CD patients.

Methods: The development and selection of bolt-ons were informed by a literature review on HRQoL in CD, expert and patient input.

Adaptive machine learning for forecasting in wind energy: A dynamic, multi-algorithmic approach for short and long-term predictions.

This study elucidates the formulation and validation of a dynamic hybrid model for wind energy forecasting, with a particular emphasis on its capability for both short-term and long-term predictive accuracy. The model is predicated on the assimilation of time-series data from past wind energy generation and employs a triad of machine learning algorithms: Artificial Neural Network (ANN), Support Vector Machine (SVM), and K-Nearest Neighbors (K-NN). Empirical data, harvested from a 2 MW grid-connected wind turbine, served as the basis for the training and validation phases.

The Development of a New Approach for the Harmonized Multi-Sectoral and Multi-Country Cost Valuation of Services: The PECUNIA Reference Unit Cost (RUC) Templates.

Background: Increasing healthcare costs require evidence-based resource use allocation for which assessing costs rigorously and comparably is crucial. Harmonized cross-country costing methods for evaluating interventions from a societal perspective are lacking. This study presents the development process and content of the service costing templates developed as part of the European project PECUNIA.

Investigating the impact of fuel price shocks on bicycle sharing usage in Budapest.

The creation of sustainable urban communities is contingent upon the establishment of a sustainable, efficient, and fast transportation system. Bicycle sharing systems (BSS) are one of the most sustainable and inclusive ways of transportation in cities. An important question is how to increase BSS ridership and whether it can effectively replace cars in cities, hence contributing to achieving the 11th Sustainable Development Goal and creating sustainable urban communities.

Impacts of large-scale deployment of vertical bifacial photovoltaics on European electricity market dynamics.

Self-sufficiency, climate change and increasing geopolitical risks have driven energy policies to make renewable energy sources dominant in the power production portfolios. The initial boom in the mid-2000s of global photovoltaic installations demonstrated the feasibility of the ambitious renewable energy targets. However, this rapid scale-up has introduced challenges, including price volatility and system integration issues.

Right-wing authoritarianism, social dominance, system justification, and conservative political ideology as predictors of mental health stigma: The Hungarian case.

Background: Insights from mental health stigma research indicate the importance of societal and political views on mental health perceptions. Most studies originate from typical Western neo-liberal settings and focus on generic mental health issues. Our research explores these associations in Hungary, an understudied post-communist context with significant stigma levels, examining a broad range of stigmas related to both general and three specific mental illnesses: schizophrenia, depression, and alcohol use disorder (AUD).

Beyond profit margins: Orchestrating social, economic, and environmental sustainability within the Norwegian Salmon Food Supply Chain.

Food Supply Chains (FSCs) have become increasingly complex with the average distance between producers and consumers rising considerably in the past two decades. Consequently, FSCs are a major source of carbon emissions and reducing transportation costs a major challenge for businesses. To address this, we present a mathematical model to promote the three core dimensions of sustainability (economic, environmental, and social), based on the Mixed-Integer Linear Programming (MILP) method.

Assessing the population structure and genetic variability of Kenyan native goats under extensive production system.

Indigenous goats are important to many livelihoods. Despite this, they are subjected to indiscriminate crossbreeding. This affects their genetic variability which is needed to survive in current regime of climate change.

Dataset on global trade networks of COVID-19 medical products.

This paper presents a comprehensive dataset on the global trade dynamics of COVID-19-related medical products for the years 2019 and 2020. The dataset, derived from the BACI database, focuses on eight distinct product categories identified by six-digit codes. The trade flow data for 224 countries is structured as a multilevel network, with countries as nodes and product categories as layers.

Socioeconomic determinants and reasons for non-acceptance to vaccination recommendations during the 3 - 5 waves of the COVID-19 pandemic in Hungary.

Background: In Hungary, although six types of vaccines were widely available, the percentage of people receiving the primary series of COVID-19 vaccination remained below the EU average. This paper investigates the reasons for Hungary's lower vaccination coverage by exploring changing attitudes towards vaccination, socio-demographic determinants, and individual reasons for non-acceptance during the 3 - 5 pandemic waves of COVID-19.

Methods: The study's empirical analysis is based on representative surveys conducted in Hungary between February 19, 2021, and June 30, 2022.

The EQ-5D-5L valuation study for Trinidad and Tobago.

Purpose: The 2016 EQ-5D-3L value set for Trinidad and Tobago (T&T) allows for the calculation of EQ-5D-5L values via the crosswalk algorithm. The 2016 value set was based on methods predating the EQ-VT protocol, now considered the gold standard for developing EQ-5D value sets. Furthermore, direct elicitation of EQ-5D-5L is preferred over crosswalked values.

A Review on Indigenous Goats of East Africa: A Case for Conservation and Management.

Indigenous goats are important in the livelihoods of rural households in East African countries. This is due to their ability to produce and reproduce in different environments and climatic conditions. Even though these indigenous goats are important, there is little available information on the genetic characterization of these breeds in Africa and at the international level.

Estimating digital product trade through corporate revenue data.

Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate bilateral exports and imports for dozens of sectors starting from the corporate revenue data of large digital firms. This method allows us to provide estimates for digitally ordered and delivered trade involving digital goods (e.

Comparing desktop 3D virtual reality with web 2.0 interfaces: Identifying key factors behind enhanced user capabilities.

The aim of this paper is to investigate how commonly used 2D digital layouts can be transformed into 3-dimensional dashboards with the effect of reducing cognitive load. To this end, we compared user performance metrics, pupil dilation data as well as subject-reported qualitative measures in a Web 2.0-based 2D scenario and two different versions of a desktop 3D virtual reality scenario.

Poor housing quality and the health of newborns and young children.

This study uses linked administrative data on live births, hospital stays, and census records for children born in Hungary between 2006 and 2011 to examine the relationship between poor housing quality and the health of newborns and children aged 1-2 years. We show that poor housing quality, defined as lack of access to basic sanitation and exposure to polluting heating, is not a negligible problem even in a high-income EU country like Hungary. This is particularly the case for disadvantaged children, 20-25% of whom live in extremely poor-quality homes.

Population normative data for OxCAP-MH capability scores.

Aim: The study aims to establish the first set of normative data for OxCAP-MH capability instrument and to examine its association with sociodemographic and anxiety/depression severity variables.

Methods: A large-sample cross-sectional online survey was conducted among the Hungarian adult general population in 2021. OxCAP-MH standardized mean scores were compared across age, sex, education level, residence, employment, and marital status.

Sociodemographic determinants of vaccination and willingness to pay for COVID-19 vaccines in Hungary, results of a cross-sectional online questionnaire.

Background: Several different coronavirus disease (COVID-19) vaccines were authorized and distributed all over the world, including Hungary, but vaccination rates and acceptance of the different vaccines varied through 2021 and subsequent years. In Hungary Western vaccines and the Chinese and Russian vaccines were available in early 2021. Understanding preference and willingness to pay (WTP) for the COVID-19 vaccine could provide information for policy decision making to control the COVID-19 pandemic.

Belief inducibility and informativeness.

We consider a group of receivers who share a common prior on a finite state space and who observe private correlated messages that are contingent on the true state of the world. Our focus lies on the beliefs of receivers induced via the signal chosen by the sender and we provide a comprehensive analysis of the inducible distributions of posterior beliefs. Classifying signals as minimal, individually minimal, and language-independent, we show that any inducible distribution can be induced by a language-independent signal.

Relationship between Vitamin D3 Deficiency, Metabolic Syndrome and , and Gene Polymorphisms.

The presence of vitamin D3 deficiency associated with the presence of metabolic syndrome (MS) has important public health effects. This study aims to investigate the relationship between vitamin D3 deficiency, MS and vitamin D3 receptor (), GC Vitamin D binding protein (), and cytochrome P450 family 2 subfamily R member 1 () gene polymorphisms, and genes whose encoded proteins are responsible for vitamin D3 metabolism and transport. A total of 58 participants were included in this study (age 39 ± 12 years) and were selected over a 12-month period.

Implementing no-signaling correlations as a service.

We deal with no-signaling correlations that include Bell-type quantum nonlocality. We consider a logical implementation using a trusted central server with encrypted connections to clients. We show that in this way it is possible to implement two-party no-signaling correlations in an asynchronous manner.

Favipiravir does not improve viral clearance in mild to moderate COVID-19 - A systematic review and meta-analysis of randomized controlled trials.

Purpose: Favipiravir has been used in the therapy of COVID-19, including patients with mild to moderate symptoms in certain countries. The aim of our systematic review and meta-analysis was to investigate its efficacy and safety in mild-to-moderate COVID-19 infections.

Methods: The PubMed, Embase, Web of Science, and Cochrane databases were systematically reviewed for articles reporting the results of randomized controlled trials published until January 6, 2023, resulting in the identification of 20 eligible studies.

Monetary valuation of one year in full capability and health based on demographics, health status, income and well-being.

Background: Budget constraints in health-care systems have led to the popularity of Cost Effectiveness Thresholds (CET) to achieve efficient allocation of resources. The capability approach has been hailed for its potentially richer evaluative capabilities compared to the QALY in terms of thresholds. Extensive research, however, is still limited.

Subjective Well-Being Population Norms and Inequalities in Hungary: A Large Cross-Sectional, Internet-Based Survey.

Objectives: This study aimed to provide subjective well-being (SWB) population norms in Hungary and explore the contribution of explanatory factors of SWB inequality among the Hungarian adult general population.

Methods: The data originated from a large representative internet-based cross-sectional survey in Hungary, which was conducted in 2020. We applied validated multi-item instruments for measuring SWB, namely Satisfaction With Life Scale (SWLS) and World Health Organization-Five Well-Being Index (WHO-5).