THE MANIFESTATION OF HEALTH-CONSCIOUSNESS IN FOOD PREFERENCE AND CONSUMPTION AMONG YOUNG PEOPLE ACCORDING TO AN EMPIRIC STUDY

In our study we set out to find answers to the question of how today’s secondary schools students in Hungary assessed certain food products. We examined in the target group also the development of relationship between the preference of a certain product and its assessment from the health point of view. We assumed that both the preference and assessment of food for its effects on health were not only influenced by the gender of consumers but also by the type of the school attended and to a large extent by the development level of the region of domicile. In conclusion, young people had shown some signs of awareness of what is healthy eating and they had been able to differentiate between healthy and unhealthy foodstuffs, but their consumption was still significantly dominated by what they considered to be pleasant food. A possible consequence of this finding is that nearly a quarter of young people and a third of boys consider themselves suffering from overweight. XXXXXXXXXXXXXXXXXXXXXXXXXXXXX Kutatásunkban arra kerestük a választ, hogy a mai magyar középiskolások körében milyen a megítélése az egyes élelmiszeripari termékeknek. Vizsgáltuk, hogy az élelmiszerek kedveltsége és annak egészségesség megítélése között ho-gyan alakul a kapcsolat a vizsgált csoport esetében. Feltételezésünk volt, hogy mind a kedveltséget, mind a különbözÅ‘ élelmiszerek megítélését az egészségesség szempontjából nemcsak a fogyasztók neme, de az iskola típusa és a lakóhely sze-rinti régió gazdasági fejlettsége is nagy mértékben befolyásolja. Összességében megállapítást nyert, hogy bár a fiatalok mutattak olyan jeleket, hogy ismerik az egészséges táplálkozás alapjait, illetve hogy különbséget tudnak tenni egészséges és egészségtelen élelmiszerek között, mégis fogyasztásukat ma még sokkal inkább az élvezeti jellemzÅ‘k dominálják. Talán ennek is köszönhetÅ‘, hogy a fiatalok saját magukról kiállított bizonyítványa alapján közel egynegyedük küszködik súlyproblémával – a fiúknak pedig az egyharmada!questionnary, high schools, level of healthy consumption, kérdőíves felmérés, középiskolások, egészséges fogyasztás szintje, Food Consumption/Nutrition/Food Safety, Marketing,

Sequence-Based Prediction of Fuzzy Protein Interactions

It is becoming increasingly recognised that disordered proteins may be fuzzy, in that they can exhibit a wide variety of binding modes. In addition to the well-known process of folding upon binding (disorder-to-order transition), many examples are emerging of interacting proteins that remain disordered in their bound states (disorder-to-disorder transitions). Furthermore, disordered proteins may populate ordered and disordered states to different extents depending on their partners (context-dependent binding). Here we assemble three datasets comprising disorder-to-order, context-dependent, and disorder-to-disorder transitions of 828 protein regions represented in 2157 complexes and elucidate the sequence-determinants of the different interaction modes. We found that fuzzy interactions originate from local sequence compositions that promote the sampling of a wide range of different structures. Based on this observation, we developed the FuzPred method (http://protdyn-fuzpred.org) of predicting the binding modes of disordered proteins based on their amino acid sequences, without specifying their partners. We thus illustrate how the amino acid sequences of proteins can encode a wide range of conformational changes upon binding, including transitions from disordered to ordered and from disordered to disordered states

Sequence-based prediction of protein binding mode landscapes.

Interactions between disordered proteins involve a wide range of changes in the structure and dynamics of the partners involved. These changes can be classified in terms of binding modes, which include disorder-to-order (DO) transitions, when proteins fold upon binding, as well as disorder-to-disorder (DD) transitions, when the conformational heterogeneity is maintained in the bound states. Furthermore, systematic studies of these interactions are revealing that proteins may exhibit different binding modes with different partners. Proteins that exhibit this context-dependent binding can be referred to as fuzzy proteins. Here we investigate amino acid code for fuzzy binding in terms of the entropy of the probability distribution of transitions towards decreasing order. We implement these entropy calculations into the FuzPred (http://protdyn-fuzpred.org) algorithm to predict the range of context-dependent binding modes of proteins from their amino acid sequences. As we illustrate through a variety of examples, this method identifies those binding sites that are sensitive to the cellular context or post-translational modifications, and may serve as regulatory points of cellular pathways

Test-time augmentation for deep learning-based cell segmentation on microscopy images

Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a massive amount of annotated data. A common way of improving accuracy builds on the artificial increase of the training set by using different augmentation techniques. A less common way relies on test-time augmentation (TTA) which yields transformed versions of the image for prediction and the results are merged. In this paper we describe how we have incorporated the test-time argumentation prediction method into two major segmentation approaches utilized in the single-cell analysis of microscopy images. These approaches are semantic segmentation based on the U-Net, and instance segmentation based on the Mask R-CNN models. Our findings show that even if only simple test-time augmentations (such as rotation or flipping and proper merging methods) are applied, TTA can significantly improve prediction accuracy. We have utilized images of tissue and cell cultures from the Data Science Bowl (DSB) 2018 nuclei segmentation competition and other sources. Additionally, boosting the highest-scoring method of the DSB with TTA, we could further improve prediction accuracy, and our method has reached an ever-best score at the DSB.Peer reviewe

Low-carbon innovation policy with the use of biorenewables in the transport sector until 2030

The topic of the present study deals with the changes and future trends of the European Union’s climate policy. In addition, it studies the manner in which Hungary’s transport sector contributes to the success of the above. The general opinion of Hungarian climate policy is that the country has no need of any substantial climate policy measures, since it will be able to reach its emission reduction targets anyway. This is mostly true, because the basis year for the long term goals is around the middle/end of the 1980’s, when Hungary’s pollution indices were entirely different than today due to former large-scale industrial production. With the termination of these inefficient energy systems, Hungary has basically been “performing well” since the change in political system without taking any specific steps in the interest of doing so. The analysis of the commitments for the 2020-2030 climate policy planning period, which defined emissions commitments compared to 2005 GHG emissions levels, has also garnered similar political reactions in recent years. Thus, it is not the issue of decreasing GHG emissions but the degree to which possible emissions can be increased stemming from the conditions and characteristics of economic growth that is important from the aspect of economic policy. In 2005, the Hungarian transport sector’s emissions amounted to 11 million tons, which is equal to 1.2% of total EU emissions, meaning it does not significantly influence total transport emissions. However, the stakes are still high for developing a low GHG emission transport system, since that will decide whether Hungary can avoid those negative development tendencies that have plagued the majority of Western European transport systems. Can Budapest avoid the scourge of perpetual smog and traffic jams? Can it avert the immeasurable accumulation of externalities on the capital city’s public bypass roads caused by having road transport conduct goods shipping? JEL classification: Q58 Document type: Articl

Gender, hyperandrogenism and vitamin D deficiency related functional and morphological alterations of rat cerebral arteries

Hyperandrogenism is a risk factor of cerebrovascular diseases as androgens can alter markedly the regulation of cerebrovascular tone. We examined the combined impact of androgen excess and vitamin D deficiency (VDD), a common co-morbidity in hyperandrogenic disorders, on remodeling and testosterone-induced vascular responses of anterior cerebral arteries (ACA) in order to evaluate the interplay between androgens and VDD in the cerebral vasculature. Male and female Wistar rats were either fed with vitamin D deficient or vitamin D supplemented diet. Half of the female animals from both groups received transdermal testosterone treatment. After 8 weeks, vessel lumen, wall thickness and testosterone-induced vascular tone of isolated ACA were determined using pressure microangiometry and histological examination. Androgen receptor protein expression in the wall of cerebral arteries was examined using immunohistochemistry. In female rats only combined VDD and testosterone treatment decreased the lumen and increased the wall thickness of ACA. In males, however VDD by itself was able to decrease the lumen and increase the wall thickness. Vascular reactivity showed similar alterations: in females, testosterone constricted the ACA only after combined VDD and hyperandrogenism, whereas in males VDD resulted in increased testosterone-induced contractions in spite of decreased androgen receptor expression. In conclusion, a marked interplay between hyperandrogenism and VDD results in inward remodeling and enhanced testosterone-induced constrictions of cerebral arteries, which might compromise the cerebral circulation and thus, increase the risk of stroke in the long term. In addition, the early cerebrovascular manifestation of VDD appears to require androgen excess and thus, depends on gender

CometAnalyser : A user-friendly, open-source deep-learning microscopy tool for quantitative comet assay analysis

Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. It is widely used in the analysis of genotoxic damages induced by radiotherapy or chemotherapeutic agents. DNA damage is quantified at the single-cell level by computing the displacement between the genetic material within the nucleus, typically called ``comet head", and the genetic material in the surrounding part of the cell, considered as the ``comet tail". Today, the number of works based on Comet Assay analyses is really impressive. In this work, besides revising the solutions available to obtain reproducible and reliable quantitative data, we developed an easy-to-use tool named CometAnalyser. It is designed for the analysis of both fluorescent and silver-stained wide-field microscopy images and allows to automatically segment and classify the comets, besides extracting Tail Moment and several other intensity/morphological features for performing statistical analysis. CometAnalyser is an open-source deep-learning tool. It works with Windows, Macintosh, and UNIX-based systems. Source code, standalone versions, user manual, sample images, video tutorial and further documentation are freely available at: https://sourceforge.net/p/cometanalyser. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).Peer reviewe

Apelin Increases Cardiac Contractility via Protein Kinase C epsilon- and Extracellular Signal-Regulated Kinase-Dependent Mechanisms

Peer reviewe

The Transcription Factor STAT6 Mediates Direct Repression of Inflammatory Enhancers and Limits Activation of Alternatively Polarized Macrophages

The molecular basis of signal-dependent transcriptional activation has been extensively studied in macrophage polarization, but our understanding remains limited regarding the molecular determinants of repression. Here we show that IL-4-activated STAT6 transcription factor is required for the direct transcriptional repression of a large number of genes during in vitro and in vivo alternative macrophage polarization. Repression results in decreased lineage-determining transcription factor, p300, and RNA polymerase II binding followed by reduced enhancer RNA expression, H3K27 acetylation, and chromatin accessibility. The repressor function of STAT6 is HDAC3 dependent on a subset of IL-4-repressed genes. In addition, STAT6-repressed enhancers show extensive overlap with the NF-kappaB p65 cistrome and exhibit decreased responsiveness to lipopolysaccharide after IL-4 stimulus on a subset of genes. As a consequence, macrophages exhibit diminished inflammasome activation, decreased IL-1beta production, and pyroptosis. Thus, the IL-4-STAT6 signaling pathway establishes an alternative polarization-specific epigenenomic signature resulting in dampened macrophage responsiveness to inflammatory stimuli