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The increased use of plastics has become an environmental problem where plastics, due to the slow degradation, accumulate in the oceans and landfills. Although plastics are a very cheap and useful material with desirable properties and a wide variety of applications, they are primarily made from petroleum-based resources which are non-renewable and of fossil origin. An alternative to these non-ren
Sustainability reporting is the primary way corporate sustainability data is disseminated to stakeholders and the wider public. While sustainability reporting is growing, certain industries still lag, such as shipping. Given the crucial role sustainability reporting can play in driving sustainable business practices, promoting improved reporting in the shipping industry is a valuable goal. This t
Soil as a fundamental, conditionally renewable natural resource is increasingly under threat from unsustainable farming practices in a changing environment. In Hungary, expansive areas of land are susceptible to soil degradation, while only a small percentage of farmers currently applies soil conservation practices (SCPs). Degraded soils have an impact on food production, climate adaptation, clima
The heat exchanger is a system where heat gets transferred between oil and other forms of lubricants from one system to another without mixing through conduction. The hot liquid is cooled by passing through the heat exchangers plates, which act as a wall between them. When hot liquid is passed between the plates, the following plates are passed with cold liquid, which carries the heat away from th
Shared micro-mobility gradually becomes a crucial part of human daily transportation. To develop the shared micro-mobility, discovering the important influence factors of each travel mode is a key aspect. However, there are scarce studies that adopt machine learning methods to model travel choice between shared micro-mobility services and identify the crucial determinants for each mode. This study
Portfolio optimization is a central problem in finance, with traditional approaches of- ten relying on forecasts of expected returns and covariances. With the growing adoption of machine learning in finance, return forecasting using ML techniques has become in- creasingly common. More recently, an alternative approach has been proposed where the portfolio weights are learned directly, bypassing th
Adeno-associated viruses (AAVs) are among the most promising vectors for safe and effective gene delivery in therapeutic applications. However, engineering functional AAV capsids remains a major challenge due to the vast sequence space, unpredictable biological performance, and limited translational success of many variants. Machine learning offers a powerful strategy to address these limitations
With the growing integration of renewable energy sources into the power grid, new challenges for system stability have emerged. To address this, the European Union has introduced a regulation called Requirements for Generators (RfG). This regulation sets specific performance standards, one of which is a minimum critical clearing time related to faults. Some production facilities with low inertial
Levels of carbon dioxide (CO2) and other greenhouse gases (GHG) are rising, thereby acceler-ating global warming and related effects on the environment. Forests are an important ecosystem and can act as carbon sinks, providing a buffer against these effects. However, disturbances such as clearcutting can turn the forests into carbon sources. In this project, the effects of clearcutting on the carb
Gemcitabine has been the standard chemotherapeutic agent in pancreatic cancer. However, two-thirds of pancreatic tumors display low expression of human equilibrative nucleoside transporter 1 (hENT1), which mediates cellular entry of the drug, and do not respond to gemcitabine therapy. The objective was to determine the costs of gemcitabine overtreatment and the cost-effectiveness of hENT1 testing
Background. Drug abuse (DA) is a clinically heterogeneous syndrome. Using medical, legal, death and pharmacy records covering the entire population of Sweden, could we uncover meaningful subtypes of DA? Method. We performed a latent class analysis (LCA) on all individuals in Sweden born 1950-1993 who were registered with DA or its consequences (n=192 501) and then validated these classes using dem
Purpose: To study the impact of dose fractionation of adjuvant radiation therapy (RT) on local recurrence (LR) and the relation of LR to radiation fields. Methods and Materials: LR rates were analyzed in 462 adult patients with soft tissue sarcoma who underwent surgical excision and adjuvant RT at five Scandinavian sarcoma centers from 1998 to 2009. Medical records were reviewed for dose fractiona
Background: Policy advocacy (PA) in European healthcare has a strong tradition promoting evidence-based policies. Key organisations, including the European Observatory on Health Systems and Policies, the WHO’s Evidence-Informed Policy Network, and the OECD play pivotal roles in integrating research into policymaking. Objectives: To assess the involvement of European Family Medicine (FM) Associatio
Background: Ipilimumab, a monoclonal antibody against cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), was the first approved checkpoint inhibitor; however, its use is hampered by treatment-related adverse events (TRAEs). ATOR-1015 is a bispecific antibody targeting CTLA-4 and OX40 designed to direct the effect to the tumor microenvironment and thereby improve the response rate and reduce TRA
Background Severe exacerbations (SevEx), the typical endpoint when evaluating asthma therapies, may provide incomplete assessment, as it relies on patient perception of disease and physician action. CompEx, a composite outcome that includes SevEx and acute worsening events (AWEs) (evaluated from e-diary entries using deterioration in peak expiratory flow (PEF), reliever medication use and worsenin
Gaming disorder (GD) is an addictive disorder with health and social impacts recognized by the World Health Organization. Although the GD treatment evidence base appear to favor cognitive behavioral therapy (CBT), knowledge of its common practice elements is limited. This systematic review critically evaluates CBT interventions for GD, encompassing individual, group, and mixed approaches, to ident
Considering the unstable condition of water resources in Iran and many other countries in arid and semi-arid regions, groundwater studies are very important. Therefore, the aim of this study is to model groundwater potential by qanat locations as indicators and ten advanced and soft computing models applied to the Beheshtabad Watershed, Iran. Qanat is a man-made underground construction which gath
Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As known, groundwater resources are one of the main water resources especially in countries with arid climatic condition. Thus, this study seeks to provide groundwater potential maps (GPMs) employing new algorithms. Accordingly, this study aims to v
