Farm Inputs and Agri-Environment Measures as Indicators of Agri-Environment Quality in Hungary

The paper deals with agri-environmental indicators, examines farm inputs, on the basis of statistical data of the Organisation for Economic Co-operation and Development (OECD) (Szabo, Pomazi 2002) and the Eurostat (2004). The examined indicators are placed in the agricultural DPSIR model. The paper presents how the use of farm inputs changed in Hungary from 1980-2000. Farm inputs are related to the inputs of the EU-15, the study demonstrates that today they are below the EU- 15 average. Area under agri-environmental measures in 2003 - which covered the 4% of agricultural area of Hungary - as a response indicator is also presented and based in the land-use zone system developed by Godollo Agricultural University (Angyan et al., 1998).agri-environmental measures, farm inputs, indicators, Environmental Economics and Policy, Q01,

Trading in cooperativity for specificity to maintain uracil-free DNA

Members of the dUTPase superfamily play an important role in the maintenance of the pyrimidine nucleotide balance and of genome integrity. dCTP deaminases and the bifunctional dCTP deaminase-dUTPases are cooperatively regulated by dTTP. However, the manifestation of allosteric behavior within the same trimeric protein architecture of dUTPases, the third member of the superfamily, has been a question of debate for decades. Therefore, we designed hybrid dUTPase trimers to access conformational states potentially mimicking the ones observed in the cooperative relatives. We studied how the interruption of different steps of the enzyme cycle affects the active site cross talk. We found that subunits work independently in dUTPase. The experimental results combined with a comparative structural analysis of dUTPase superfamily enzymes revealed that subtile structural differences within the allosteric loop and the central channel in these enzymes give rise to their dramatically different cooperative behavior. We demonstrate that the lack of allosteric regulation in dUTPase is related to the functional adaptation to more efficient dUTP hydrolysis which is advantageous in uracil-DNA prevention

Electroconvulsive therapy in a Hungarian academic centre (1999-2010).

BACKGROUND: Since the 1930s, the Department of Psychiatry and Psychotherapy at Semmelweis University (DPPSU) in Budapest has played a leading role in convulsive therapy in Hungary. The aim of this study was to describe the pattern of ECT use at the DPPSU over an 11-year period. SUBJECTS AND METHODS: Analysis of the medical notes of all patients treated with ECT in this academic centre between 1999 and 2009. RESULTS: During the study period, 28,230 patients were admitted to the DPPSU, of whom 457 (1.6%) received ECT. More than 50% of patients receiving ECT were diagnosed with schizophrenia. The percentage of female patients receiving ECT significantly exceeded that of the male patients, above what was expected in view of the diagnostic mix. CONCLUSION: The data indicate that in the first decade of the 21(th) century, ECT use shows a declining tendency in this Hungarian academic centre. The mean number of treatment sessions was relatively low and nearly the same across diagnostic groups. ECT was mainly used as a last resort for treatment-resistant patients. In the majority of cases, bifronto-temporal brief pulse stimulation was applied. Seizures were monitored with EEG and EMG

The Importance Of Epigenetic Alterations In The Development Of Epstein-Barr Virus-Related Lymphomas

Epstein-Barr virus (EBV), a human gammaherpesvirus, is associated with a series of malignant tumors. These include lymphomas (Burkitt’s lymphoma, Hodgkin’s disease, T/NK-cell lymphoma, post-transplant lymphoproliferative disease, AIDS-associated lymphoma, X-linked lymphoproliferative syndrome), carcinomas (nasopharyngeal carcinoma, gastric carcinoma, carcinomas of major salivary glands, thymic carcinoma, mammary carcinoma) and a sarcoma (leiomyosarcoma). The latent EBV genomes persist in the tumor cells as circular episomes, co-replicating with the cellular DNA once per cell cycle. The expression of latent EBV genes is cell type specific due to the strict epigenetic control of their promoters. DNA methylation, histone modifications and binding of key cellular regulatory proteins contribute to the regulation of alternative promoters for transcripts encoding the nuclear antigens EBNA1 to 6 and affect the activity of promoters for transcripts encoding transmembrane proteins (LMP1, LMP2A, LMP2B). In addition to genes transcribed by RNA polymerase II, there are also two RNA polymerase III transcribed genes in the EBV genome (EBER 1 and 2). The 5′ and internal regulatory sequences of EBER 1 and 2 transcription units are invariably unmethylated. The highly abundant EBER 1 and 2 RNAs are not translated to protein. Based on the cell type specific epigenetic marks associated with latent EBV genomes one can distinguish between viral epigenotypes that differ in transcriptional activity in spite of having an identical (or nearly identical) DNA sequence. Whereas latent EBV genomes are regularly targeted by epigenetic control mechanisms in different cell types, EBV encoded proteins may, in turn, affect the activity of a set of cellular promoters by interacting with the very same epigenetic regulatory machinery. There are EBNA1 binding sites in the human genome. Because high affinity binding of EBNA1 to its recognition sites is known to specify sites of DNA demethylation, we suggest that binding of EBNA1 to its cellular target sites may elicit local demethylation and contribute thereby to the activation of silent cellular promoters. EBNA2 interacts with histone acetyltransferases, and EBNALP (EBNA5) coactivates transcription by displacing histone deacetylase 4 from EBNA2-bound promoter sites. EBNA3C (EBNA6) seems to be associated both with histone acetylases and deacetylases, although in separate complexes. LMP1, a transmembrane protein involved in malignant transformation, can affect both alternative systems of epigenetic memory, DNA methylation and the Polycomb-trithorax group of protein complexes. In epithelial cells LMP1 can up-regulate DNA methyltransferases and, in Hodgkin lymphoma cells, induce the Polycomb group protein Bmi-1. In addition, LMP1 can also modulate cellular gene expression programs by affecting, via the NF-κB pathway, levels of cellular microRNAs miR-146a and miR-155. These interactions may result in epigenetic dysregulation and subsequent cellular dysfunctions that may manifest in or contribute to the development of pathological changes (e.g. initiation and progression of malignant neoplasms, autoimmune phenomena, immunodeficiency). Thus, Epstein-Barr virus, similarly to other viruses and certain bacteria, may induce pathological changes by epigenetic reprogramming of host cells. Elucidation of the epigenetic consequences of EBV-host interactions (within the framework of the emerging new field of patho-epigenetics) may have important implications for therapy and disease prevention, because epigenetic processes are reversible and continuous silencing of EBV genes contributing to patho-epigenetic changes may prevent disease development

Vaccine hesitancy among healthcare workers in Europe: A qualitative study.

Healthcare workers (HCWs) are often referred to as the most trusted source of vaccine-related information for their patients. However, the evidence suggests that a number of HCWs are vaccine-hesitant. This study consists of 65 semi-structured interviews with vaccine providers in Croatia, France, Greece, and Romania to investigate concerns HCWs might have about vaccination. The results revealed that vaccine hesitancy is present in all four countries among vaccine providers. The most important concern across all countries was the fear of vaccine side effects. New vaccines were singled out due to perceived lack of testing for vaccine safety and efficacy. Furthermore, while high trust in health authorities was expressed by HCWs, there was also strong mistrust of pharmaceutical companies due to perceived financial interests and lack of communication about side effects. The notion that it is a doctor's responsibility to respond to hesitant patients was reported in all countries. Concerns were also seen to be country- and context-specific. Strategies to improve confidence in vaccines should be adapted to the specific political, social, cultural and economic context of countries. Furthermore, while most interventions focus on education and improving information about vaccine safety, effectiveness, or the need for vaccines, concerns raised in this study identify other determinants of hesitancy that need addressing. The representativeness of the views of the interviewed HCWs must be interpreted with caution. This a qualitative study with a small sample size that included geographical areas where vaccination uptake was lower or where hesitancy was more prevalent and it reflects individual participants' beliefs and attitudes toward the topic. As HCWs have the potential of influencing patient vaccination uptake, it is crucial to improve their confidence in vaccination and engage them in activities targeting vaccine hesitancy among their patients

Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review (Preprint)

BACKGROUND Social media has changed the communication landscape, exposing individuals to an ever-growing amount of information while also allowing them to create and share content. Although vaccine skepticism is not new, social media has amplified public concerns and facilitated their spread globally. Multiple studies have been conducted to monitor vaccination discussions on social media. However, there is currently insufficient evidence on the best methods to perform social media monitoring. OBJECTIVE The aim of this study was to identify the methods most commonly used for monitoring vaccination-related topics on different social media platforms, along with their effectiveness and limitations. METHODS A systematic scoping review was conducted by applying a comprehensive search strategy to multiple databases in December 2018. The articles’ titles, abstracts, and full texts were screened by two reviewers using inclusion and exclusion criteria. After data extraction, a descriptive analysis was performed to summarize the methods used to monitor and analyze social media, including data extraction tools; ethical considerations; search strategies; periods monitored; geolocalization of content; and sentiments, content, and reach analyses. RESULTS This review identified 86 articles on social media monitoring of vaccination, most of which were published after 2015. Although 35 out of the 86 studies used manual browser search tools to collect data from social media, this was time-consuming and only allowed for the analysis of small samples compared to social media application program interfaces or automated monitoring tools. Although simple search strategies were considered less precise, only 10 out of the 86 studies used comprehensive lists of keywords (eg, with hashtags or words related to specific events or concerns). Partly due to privacy settings, geolocalization of data was extremely difficult to obtain, limiting the possibility of performing country-specific analyses. Finally, 20 out of the 86 studies performed trend or content analyses, whereas most of the studies (70%, 60/86) analyzed sentiments toward vaccination. Automated sentiment analyses, performed using leverage, supervised machine learning, or automated software, were fast and provided strong and accurate results. Most studies focused on negative (n=33) and positive (n=31) sentiments toward vaccination, and may have failed to capture the nuances and complexity of emotions around vaccination. Finally, 49 out of the 86 studies determined the reach of social media posts by looking at numbers of followers and engagement (eg, retweets, shares, likes). CONCLUSIONS Social media monitoring still constitutes a new means to research and understand public sentiments around vaccination. A wide range of methods are currently used by researchers. Future research should focus on evaluating these methods to offer more evidence and support the development of social media monitoring as a valuable research design. </sec

The influence of the way of regression on the results obtained by the receptorial responsiveness method (RRM), a procedure to estimate a change in the concentration of a pharmacological agonist near the receptor

The receptorial responsiveness method (RRM) enables the estimation of a change in concentration of an (even degradable) agonist, near its receptor, via curve fitting to (at least) two concentration-effect (E/c) curves of a stable agonist. One curve should be generated before this change, and the other afterwards, in the same system. It follows that RRM yields a surrogate parameter (“cx”) as the concentration of the stable agonist being equieffective with the change in concentration of the other agonist. However, regression can be conducted several ways, which can affect the accuracy, precision and ease-of-use. This study utilized data of previous ex vivo investigations. Known concentrations of stable agonists were estimated with RRM by performing individual (local) or global fitting, this latter with one or two model(s), using a logarithmic (logcx) or a nonlogarithmic (cx) parameter (the latter in a complex or in a simplified equation), with ordinary least-squares or robust regression, and with an “all-at-once” or “pairwise” fitting manner. We found that the simplified model containing logcx was superior to all alternative models. The most complicated individual regression was the most accurate, followed closely by the moderately complicated two-model global regression and then by the easy-to-perform one-model global regression. The two-model global fitting was the most precise, followed by the individual fitting (closely) and by the one-model global fitting (from afar). Pairwise fitting (two E/c curves at once) improved the estimation. Thus, the two-model global fitting, performed pairwise, and the individual fitting are recommended for RRM, using the simplified model containing logcx