16456 research outputs found
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Evaluating the need for standardised disease manifestation categories in patients infected with the tick-borne encephalitis virus : A Delphi panel
Publisher Copyright: © 2024 The AuthorsCategorization systems for tick-borne encephalitis virus (TBEV) infection lack consistency in classifying disease severity. To evaluate the need for a standard, consensus-based categorisation system for TBEV infection across subtypes, we gathered an expert panel of clinicians and scientists with diverse expertise in TBEV infection. Consensus was sought using the Delphi technique, which consisted of 2 web-based survey questionnaires and a final, virtual, consensus-building exercise. Ten panellists representing 8 European countries participated in the Delphi exercise, with specialities in neurology, infectious disease, paediatrics, immunology, virology, and epidemiology. Panellists reached unanimous consensus on the need for a standardised, international categorisation system to capture both clinical presentation and severity of TBEV infection. Ideally, such a system should be feasible for use at bedside, be clear and easy to understand, and capture both the acute and follow-up phases of TBEV infection. Areas requiring further discussion were (1) the timepoints at which assessments should be made and (2) whether there should be a separate system for children. This Delphi panel study found that a critical gap persists in the absence of a feasible and practical classification system for TBEV infection. Specifically, the findings of our Delphi exercise highlight the need for the development of a user-friendly classification system that captures the acute and follow-up (i.e., outcome) phases of TBEV infection and optimally reflects both clinical presentation and severity. Development of a clinical categorisation system will enhance patient care and foster comparability among studies, thereby supporting treatment development, refining vaccine strategies, and fortifying public health surveillance.Peer reviewe
Circular Value Chain Management—Barriers and Opportunities
Publisher Copyright: © The Author(s) 2025.This section is devoted to analyzing the construction industry as one of the significant industries within the economy of any country with a high potential for circularity. According to Huovila and Westerholm [1], the buildings and construction sector is an essential contributor to environmental impacts and wealth creation in society, with social consequences. Globally, construction uses 36% of the energy, produces 39% of emissions, up to 40% of waste, and uses 50% of all the extracted materials. This undoubtedly emphasizes the significance of the industry and the necessity to transform it from a linear business model development towards a circular one to maintain the higher added value of the resources already currently in the economic cycle and significantly impact the consumption of primary resources. This section will provide an overview of different obstacles in the industry, followed by gaps in awareness and knowledge of the stakeholders and various case studies carried out during the research to highlight the potential solutions for shifting the mindsets and business models operating within the construction sector. The section also provides high-quality examples of successful study courses that can be integrated into different study programs to prepare highly-professional specialists in the construction industry or provide general knowledge on the industry and it’s potential for circularity for any other stakeholders.Peer reviewe
Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning
Background/Objectives: The timely diagnostics of bladder cancer is still a challenge in clinical settings. The reliability of conventional testing methods does not reach desirable accuracy and sensitivity, and it has an invasive nature. The present study examines the application of machine learning to improve bladder cancer diagnostics by integrating miRNA expression levels, demographic routine laboratory test results, and clinical data. We proposed that merging these datasets would enhance diagnostic accuracy. Methods: This study combined molecular biology methods for liquid biopsy, routine clinical data, and application of machine learning approach for the acquired data analysis. We evaluated urinary exosome miRNA expression data in combination with patient test results, as well as clinical and demographic data using three machine learning models: Random Forest, SVM, and XGBoost classifiers. Results: Based solely on miRNA data, the SVM model achieved an ROC curve area of 0.75. Patient analysis’ clinical and demographic data obtained ROC curve area of 0.80. Combining both data types enhanced performance, resulting in an F1 score of 0.79 and an ROC of 0.85. The feature importance analysis identified key predictors, including erythrocytes in urine, age, and several miRNAs. Conclusions: Our findings indicate the potential of a multi-modal approach to improve the accuracy of bladder cancer diagnosis in a non-invasive manner.Peer reviewe
Human Defence Factors in Different Gestational Week Placenta : A Pilot Study
Publisher Copyright: © 2025 by the authors.Background: Numerous studies have shown the presence of multiple defence factors in placental tissue, although their role is partially understood; therefore, the aim of this study was to evaluate the expression of nuclear factor-kappa B (NF-κB); human beta-defensin 2, 3, and 4 (HBD-2,3,4); cathelicidine (LL-37); heat shock protein 60 (HSP60); and interleukin 10 (IL-10) in dissimilar gestational week placental tissue and display correlations between immunoreactive cells. Methods: A total of 15 human placental tissue samples were acquired from mothers with different gestational weeks: 28, 31, and 40. Routine staining and immunohistochemistry for the samples were executed. The evaluation of data was performed with semi-quantitative methods, and, for statistical analysis, the Kruskal–Wallis test was used. Spearman’s rank correlation was used for calculating correlations. Results: NF-κB, HBD- 2,3,4, HSP60, and IL-10 expression were discovered in every examined placental tissue cell type. LL-37 expression was found only in Hofbauer cells. A rise in expression with higher gestational weeks was noted in LL-37-positive Hofbauer cells (p = 0.03), HBD-3-positive cytotrophoblasts (p = 0.007), endothelial cells (p = 0.024), extraembryonic mesodermal cells (p = 0.004), and HBD-4-positive endothelial cells (p = 0.001). Numerous statistically significant moderate and strong positive correlations between defence factors were discovered. Conclusions: The persistence of Hofbauer cell accumulations underlines the growing significance of placental macrophages in placental protection. The expression of positive defence factors and a rise in expression in tissue protection factors (HBD-3, LL-37, HBD-4) in higher gestational weeks may indicate these factors as the most significant protectors of the placenta in ontogenetic aspects. The high number of statistically significant positive and negative correlations between positive cells show a strong network to sustain distressed placental growth and therefore pregnancy.Peer reviewe
Efficacy of Topical Treatment of Low-Risk Cervical Preinvasive Lesions with Glycyrrhizinic Acid
Publisher Copyright: © 2024 by the authors.Background/Objectives: The study aimed to investigate the efficacy of medication treatment with glycyrrhizinic acid for cervical intraepithelial neoplasia (CIN) 1 lesions. Methods: Women with histologically confirmed CIN 1 in cervical biopsies were included in the prospective study. Participants of the study group used glycyrrhizinic acid spray (Epigen spray) topically 10 days (Epigen 10-day subgroup) or 20 days (Epigen 20-day subgroup) per month for 6 months. Women in the control group had no treatment. There were two follow-up visits 6 months apart. All patients were screened for human papillomavirus (HPV) before enrollment and during the first follow-up visit. Results: There were 50 patients in the Epigen group and 50 patients in the control group. At the first follow-up visit, in the histological findings, progression to CIN 2+ was 6.7% in the Epigen 20-day subgroup, 31.1% in the control group, and the persistence of CIN 1 was 86.7% in the Epigen 20-day subgroup and 62.2% in the control group, p = 0.03. Large loop excision of the transformation zone (LLETZ) was statistically significantly more frequent in the control group after the first follow-up visit (10% in the Epigen 20-day subgroup vs. 30% in the control group, p = 0.032). No such relationships were found during the second follow-up visit. Conclusions: The vaginal spray of the glycyrrhizinic acid used 20 days per month appears to decrease the risk of the progression of CIN 1 lesions, with the need to perform LLETZ. However, a similar effect is not observed after stopping usage.Peer reviewe
Advancing Asset Tokenization in the European Union and Latvia : A Regulatory and Policy Perspective
Our study examines the regulatory challenges and opportunities of asset tokenization within the context of the European Union (EU), emphasizing the balance between technological innovation and investor protection in the digital economy. Focusing on 2023 EU Markets in Crypto-Assets Regulation and its application in Latvia, we utilize comparative legal and integrative literature review methodologies to explore how regulatory frameworks can enhance investor accessibility, liquidity, and transparency in digital transactions. Our findings emphasize the importance of strong legal frameworks in promoting economic growth and protecting investors, thereby contributing to a more inclusive financial ecosystem. By examining the regulatory landscape for distributed ledger technology, we provide insights into how regulations can balance innovation in asset management with the imperative of investor protection. We offer a broad analysis of the intersection between legal frameworks and technological advancements in Latvia, illustrating how diverse regulatory approaches can support both economic development and investor interests. Our research originality lies in its focus on the EU’s regulatory diversity, particularly in Latvia, and its implications for broader European and international regulatory environments. Our study contributes to ongoing discussions on optimizing regulatory strategies to facilitate secure and advantageous financial technologies, reflecting the diversity of legal and economic approaches across Europe.Peer reviewe
HBM4EU E-waste study – An untargeted metabolomics approach to characterize metabolic changes during E-waste recycling
Publisher Copyright: © 2025 The Author(s)E-waste contains hazardous chemicals that may be a direct health risk for workers involved in recycling. We conducted an untargeted metabolomics analysis of urine samples collected from male e-waste processing workers to explore metabolic changes associated with chemical exposures in e-waste recycling in Belgium, Finland, Latvia, Luxembourg, the Netherlands, Poland, and Portugal. Questionnaire data and urine samples were obtained from workers involved in the processing of e-waste (sorting, dismantling, shredding, pre-processing, metal, and non-metal processing), as well as from controls with no known occupational exposure. Pre- and post-shift urine samples were collected and analysed using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS). A total of 32 endogenous urinary metabolites were annotated with a Variable Importance in Projection (VIP) above 2, indicating that e-waste recycling is mainly associated with changes in steroid hormone and neurotransmitter metabolism, energy metabolism, bile acid biosynthesis, and inflammation. The highest VIP was observed for dopamine-o-quinone, which is linked to Parkinson's disease. These and other changes in metabolism in workers employed in the processing of e-waste need further verification in targeted studies.Peer reviewe
A Forgotten Rare Cause of Unilateral Basal Ganglia Calcinosis Due to Venous Angioma and Complicating Acute Stroke Management : A Case Report
Background: Unilateral basal ganglia calcinosis (BGC) is a rare radiological finding that can be diagnosed on computed tomography (CT) and magnetic resonance imaging (MRI) but often presents challenges for clinicians and radiologists in determining its underlying cause. So far, only a few potential causes that could explain unilateral BGC have been described in the literature. Case Report: A 54-year-old Caucasian male was admitted to a tertiary university hospital due to the sudden onset of speech impairment and right-sided weakness. The patient had no significant medical history prior to this event. Non-enhanced computed tomography (NECT) of the brain revealed no evidence of acute ischemia; CT angiography (CTA) showed acute left middle cerebral artery (MCA) M2 segment occlusion. CT perfusion (CTP) maps revealed an extensive penumbra-like lesion, which is potentially reversible upon achieving successful recanalization. However, a primary neoplastic tumor with calcifications in the basal ganglia was initially interpreted as the potential cause; therefore, acute stroke treatment with intravenous thrombolysis was contraindicated. A follow-up CT examination at 24 h revealed an ischemic lesion localized to the left insula, predominantly involving the left parietal lobe and the superior gyrus of the left temporal lobe. Subsequent gadolinium-enhanced brain MRI revealed small blood vessels draining into the subependymal periventricular veins on the left basal ganglia. Digital subtraction angiography was conducted, confirming the diagnosis of venous angioma. Conclusions: Unilateral BGC caused by venous angioma is a rare entity with unclear pathophysiological mechanisms and heterogeneous clinical presentation. It may mimic conditions such as intracerebral hemorrhage or hemorrhagic brain tumors, complicating acute stroke management, as demonstrated in this case. Surrounding tissue calcification may provide a valuable radiological clue in diagnosing venous angiomas DVAs and vascular malformations.Peer reviewe
Concept Protocol for Developing a DAid® Smart Socks-Based Biofeedback System : Enhancing Injury Prevention in Football Through Real-Time Biomechanical Monitoring and Mixed Reality Feedback
Football players, particularly in youth leagues, face a high risk of lower limb injuries due to improper movement patterns. While programs like FIFA 11+ help reduce injuries, they lack real-time, personalized feedback for biomechanical correction. This concept protocol outlines the development of a DAid® smart socks-based biofeedback system that integrates biomechanical monitoring with mixed reality (MR) feedback to enhance injury prevention. The DAid® smart socks, equipped with pressure sensors and inertial measurement units (IMUs), track plantar pressure distribution and the center of pressure (COP). Real-time feedback is delivered via a Meta Quest 3 MR headset, enabling athletes to adjust movement patterns instantly. This protocol establishes a framework for evaluating the system’s feasibility and effectiveness in optimizing biomechanics and reducing injury risks. By combining wearable technology with MR-based feedback, this study advances injury prevention strategies, with potential applications in rehabilitation and performance training.Peer reviewe