Modelling of seaweed ingress into a nuclear power station cooling water intake

Water Qualit

Regulation and NLP (RegNLP):Taming large language models

The scientific innovation in Natural Language Processing (NLP) and more broadly in artificial intelligence (AI) is at its fastest pace to date. As large language models (LLMs) unleash a new era of automation, important debates emerge regarding the benefits and risks of their development, deployment and use. Currently, these debates have been dominated by often polarized narratives mainly led by the AI Safety and AI Ethics movements. This polarization, often amplified by social media, is swaying political agendas on AI regulation and governance and posing issues of regulatory capture. Capture occurs when the regulator advances the interests of the industry it is supposed to regulate, or of special interest groups rather than pursuing the general public interest. Meanwhile in NLP research, attention has been increasingly paid to the discussion of regulating risks and harms. This often happens without systematic methodologies or sufficient rooting in the disciplines that inspire an extended scope of NLP research, jeopardizing the scientific integrity of these endeavors. Regulation studies are a rich source of knowledge on how to systematically deal with risk and uncertainty, as well as with scientific evidence, to evaluate and compare regulatory options. This resource has largely remained untapped so far. In this paper, we argue how NLP research on these topics can benefit from proximity to regulatory studies and adjacent fields. We do so by discussing basic tenets of regulation, and risk and uncertainty, and by highlighting the shortcomings of current NLP discussions dealing with risk assessment. Finally, we advocate for the development of a new multidisciplinary research space on regulation and NLP (RegNLP), focused on connecting scientific knowledge to regulatory processes based on systematic methodologies

Vaginal Seeding in Term Cesarean Section Is a Mandatory Condition for Improvement of Neonatal Health

The human vaginal microbiota is an important component of the defense system to fight microbial and viral infections. During pregnancy, a significant decrease in overall diversity is observed in the vaginal flora, and there is an increase in stability as the composition of the vaginal flora changes gradually. These alterations are linked to a decrease in vaginal pH and an augmentation in vaginal secretions. The composition of the vaginal microbiome changes according to gestational age, with its composition in advanced weeks of pregnancy resembling that of nonpregnant women. There is supporting evidence for the existence of differences in the neonate’s microbiome between those born via C-section and those delivered vaginally. The evidence suggests that this difference is a result of the changes that occur in the mother’s microbiome, particularly in the vagina. The vaginal microbiome serves as a crucial barrier between the external environment and the intra-amniotic cavity. The vaginal microbiome appears to play a significant role as an additional defense mechanism of the mother and, consequently, the fetus. Any abnormalities in this microbiome can potentially impact the pregnancy and perinatal outcome

Metagenomic analysis of animal gut microbioma based on diet

This bachelor’s thesis deals with the sequencing of the microbiome and its composi- tion. It focuses on the gut microbiome of animals, which differs among animals with different diets. The work describes theoretical knowledge about metagenomic analysis of the microbiome, such as sampling procedures, various sequencing methods and data processing. The practical part of the work includes the preparation of the dataset, which includes the collection of data and their preparation for the following metagenomic anal- ysis. The result of the work is the taxonomic classification of bacterial species in the samples and the analysis of their diversity according to the type of diet of individual animals

Functional Properties of APCVD VO2 Layers

The growth of isolated monoclinic and metastable vanadium dioxide phases was possible by the atmospheric pressure chemical vapor deposition at 500 oC through the control of oxygen flow rate. The as-grown coating for 0.2 L min-1 showed a reversible switching behavior at 62 oC with a difference in transmittance of the order of 40 %. On the other hand, the coating deposited for 0.8 L min-1 had good electrochemical response presenting capacitance retention of 96 % after 500 scans. The results are discussed in terms of the materials’ observed structure and morphology. We showed that the transition characteristics of the coatings are based on the competing effects of crystallinity and crystallite size, while their electrochemical response is related to the increased surface area ratio of the nanorods

Antibiotics and Lipid-Modifying Agents: Potential Drug–Drug Interactions and Their Clinical Implications

Evidence-based prescribing requires taking into consideration the many aspects of optimal drug administration (e.g., dosage, comorbidities, co-administered drugs, etc.). A key issue is the administration of drugs for acute disorders that may potentially interfere with previously prescribed long-term medications. Initiating an antibiotic for an acute bacterial infection constitutes a common example. Hence, appropriate knowledge and awareness of the potential DDIs of antibiotics would lead to proper adjustments, thus preventing over- or under-treatment. For example, some statins, which are the most prescribed lipid-modifying agent (LMA), can lead to clinically important drug–drug interactions (DDIs) with the concurrent administration of antibiotics, e.g., macrolides. This review discusses the clinically significant DDIs of antibiotics associated with co-administrated lipid-lowering therapy and highlights common cases where regimen modifications may or may not be necessary

Exploring the Relationship between Wind Patterns and Hospital Admissions Due to Respiratory Symptoms in Children

Respiratory disorders significantly impact adolescents’ health, often resulting in hospital admissions. Meteorological elements such as wind patterns have emerged as potential contributors to respiratory symptoms. However, it remains uncertain whether fluctuations in wind characteristics over extended periods have a tangible impact on respiratory health, particularly in regions characterized by distinct annual wind patterns. Crete is situated in the central-eastern Mediterranean Sea and frequently faces southerly winds carrying Sahara Desert sand from Africa and northerly winds from the Aegean Sea. This retrospective study analyzes long-term wind direction data and their relationship to respiratory symptoms observed in children up to 14 years old admitted at the University Hospital of Heraklion between 2002 and 2010. Symptoms such as headache, dyspnea, dry cough, dizziness, tachypnea, throat ache, and earache were predominantly reported during the presence of southern winds. Fever, productive cough, and chest pain were more frequently reported during northern winds. Cough was the most common symptom regardless of the wind pattern. Southern winds were significantly associated with higher probabilities of productive or non-productive cough, headache, dyspnea, tachypnea, dizziness, earache, and throat ache. Northern winds were related to a higher incidence of productive cough. Rhinitis, asthma, allergies, pharyngitis, and sinusitis were related to southern winds, while bronchiolitis and pneumonia were associated with northern winds. These findings underscore the critical role of local climatic factors, emphasizing their potential impact on exacerbating respiratory conditions in children. Moreover, they point out the need for further research to elucidate the underlying mechanisms and develop targeted interventions for at-risk populations