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Abstract Novel proton-conducting electrolytes were prepared from the sol–gel precursor 1-[3-(trimethoxy-λ4-silyl)propyl]imidazole with the addition of either trifluoroacetic or acetic acid. The presence of trimethoxysilyl groups enabled the solvolysis and condensation reactions of silsesquioxane species. IR spectroscopy revealed that more cube-like species formed in the electrolyte prepared from trifluoroacetic acid, while cube- and ladder-like silsesquioxanes were present in the electrolyte with acetic acid. This assignation was independently confirmed by 29Si NMR analyses revealing the T3 signals of trisiloxane bonding. IR spectroscopy also pointed to the formation of hydrogen bonding in the latter electrolyte, since the frequencies of the observed bands at 1710, 1409, and 1272 cm−1 approached those of acetic acid. In contrast, the IR bands at 1662, 1204, and 1130 cm−1 confirmed the existence of trifluoroacetate anions in the case when the electrolyte was prepared from trifluoroacetic acid. The presence of free trifluoroacetate anions contributed to the moderately higher specific conductivity of this electrolyte (4.6×10−5 S/cm) compared to that of acetic acid (1.6×10−5 S/cm). The specific conductivity of the electrolytes could be further increased by the addition of a lithium salt. All electrolytes were employed in electrochromic devices with optically active WO3 and various inorganic counter-electrodes (CeVO4, V2O5, Ti/V-oxide). Photopic transmittance changes from 30% to 40% were achieved.

At first glance, there appears to be a high degree of similarity between the metabolism of yeast (the Crabtree effect) and human cancer cells (the Warburg effect). At the root of both effects is accelerated metabolic flow through glycolysis which leads to overflows of ethanol and lactic acid, respectively. It has been proposed that enhanced glycolytic flow in cancer cells is triggered by the altered kinetic characteristics of the key glycolytic regulatory enzyme 6-phosphofructo-1-kinase (Pfk). Through a posttranslational modification, highly active shorter Pfk-M fragments, which are resistant to feedback inhibition, are formed after the proteolytic cleavage of the C-terminus of the native human Pfk-M. Alternatively, enhanced glycolysis is triggered by optimal growth conditions in the yeast Saccharomyces cerevisiae.To assess the deregulation of glycolysis in yeast cells, the sfPFKM gene encoding highly active human shorter Pfk-M fragments was introduced into pfk-null S. cerevisiae. No growth of the transformants with the sfPFKM gene was observed on glucose and fructose. Glucose even induced rapid deactivation of Pfk1 activities in such transformants. However, Pfk1 activities of the sfPFKM transformants were detected in maltose medium, but the growth in maltose was possible only after the addition of 10 mM of ethanol to the medium. Ethanol seemed to alleviate the severely unbalanced NADH/NADPH ratio in the sfPFKM cells. However, the transformants carrying modified Pfk-M enzymes grew faster than the transformants with the human native human Pfk-M enzyme in a narrow ecological niche with a low maltose concentration medium that was further improved by additional modifications. Interestingly, periodic extracellular accumulation of phenylacetaldehyde was detected during the growth of the strain with modified Pfk-M but not with the strain encoding the human native enzyme.Highly active cancer-specific shorter Pfk-M fragments appear to trigger several controlling mechanisms in the primary metabolism of yeast S. cerevisiae cells. These results suggest more complex metabolic regulation is present in S. cerevisiae as free living unicellular eukaryotic organisms in comparison to metazoan human cells. However, increased productivity under broader growth conditions may be achieved if more gene engineering is performed to reduce or omit several controlling mechanisms.

We examined the prevalence of heavy episodic drinking in general practice attenders who were non-hazardous drinkers, the associated risk factors and the outcome over 6 months.Consecutive attenders aged 18-75 were recruited from the UK, Spain, Slovenia, Estonia, the Netherlands and Portugal and followed up after 6 months. Data were collected on alcohol use using the Alcohol Use Disorder Identification test (at recruitment and 6 months) and risk factors for heavy episodic alcohol use at recruitment.The prevalence of heavy episodic drinking in non-hazardous drinkers was 4.5% across Europe [lowest in Portugal (1.5%); highest Netherlands (8.4%)]. It was less frequent in Spain, Slovenia, Estonia and Portugal compared with the UK and Netherlands. It was higher in men [odd ratio (OR) 4.4, 95% confidence interval (CI) 3.3, 5.9], people between 18 and 29 years of age, those employed (OR 1.8, 95% CI 1.3, 2.6) and those using recreational drugs (OR 2.1, 95% CI 1.4, 3.3). It was lower in people with existing DSMIV major depression (OR 0.54, 95% CI 0.31, 0.96). Heavy episodic drinkers were more likely to become hazardous drinkers at 6 months (male: OR 7.2, 95% CI 4.1, 12.7; female: OR 9.4, 95% CI 4.3, 20.6).Women and men in the UK, men in the Netherlands and younger people in all countries are at the greatest risk of exhibiting heavy episodic drinking behaviours even in the absence of hazardous alcohol use. There is hence an urgent need for general practitioners to consider early detection and management of heavy episodic drinking behaviour in this population.

In conjunction with the COVID-19 pandemic aftermath, Russian aggression on Ukraine has wide-ranging consequences for the EU, including high inflation, an immense energy cost increase, and a shortage of critical resources. All of these have pronounced effects on the sustainability and operations of research infrastructures (RIs), several of which face difficulties in providing continuous service. To address these topics, the European Strategy Forum on Research Infrastructures (ESFRI) has established a dedicated drafting group to look into the energy and supply challenges, also responding to a call by Competitiveness Council to do so. This report highlights the significant impact of the Russian aggression on Ukraine on the sustainability and operations of research infrastructures (RIs) in the EU. The energy crisis resulting from the Russian aggression poses a severe challenge to the RIs, predominantly analytical RIs, with energy-intensive RIs such as synchrotrons, computing centres, accelerator-driven particle sources, neutron facilities, research reactors, and lasers being the most affected. The shortage of critical resources and materials, such as some gases, rare isotopes, and permanent magnets, also presents a significant challenge to RIs, although they may not be a consequence of the war. The report presents recommendations to ESFRI, Member States, and the European Commission based on good practices from ESFRI member countries and the discussion within the drafting group to address these challenges and enhance the future resilience of RIs. The recommendations include allocating additional funds and energy price capping for the most energy-intensive RIs, developing response plans that include actions aimed at greening the operations of RIs, considering the needs of the RI communities in the activities linked to the Critical Raw Materials Regulation, and setting up specific measures to support the Ukrainian research community. The report emphasizes the importance of preparing for future crises, increasing the resilience and preparedness of European society to cope with any present and future crisis.

Monoamine oxidases (MAOs) catalyze the degradation of a very broad range of biogenic and dietary amines including many neurotransmitters in the brain, whose imbalance is extensively linked with the biochemical pathology of various neurological disorders, and are, accordingly, used as primary pharmacological targets to treat these debilitating cognitive diseases. Still, despite this practical significance, the precise molecular mechanism underlying the irreversible MAO inhibition with clinically used propargylamine inhibitors rasagiline and selegiline is still not unambiguously determined, which hinders the rational design of improved inhibitors devoid of side effects current drugs are experiencing. To address this challenge, we present empirical valence bond QM/MM simulations of the rate-limiting step of the MAO inhibition involving the hydride anion transfer from the inhibitor α-carbon onto the N5 atom of the flavin adenin dinucleotide (FAD) cofactor. The proposed mechanism is strongly supported by the obtained free energy profiles, which confirm a higher reactivity of selegiline over rasagiline, while the calculated difference in the activation Gibbs energies of ΔΔG‡ = 3.1 kcal mol−1 is found to be in very good agreement with that from the measured literature kinact values that predict a 1.7 kcal mol−1 higher selegiline reactivity. Given the similarity with the hydride transfer mechanism during the MAO catalytic activity, these results verify that both rasagiline and selegiline are mechanism-based irreversible inhibitors and offer guidelines in designing new and improved inhibitors, which are all clinically employed in treating a variety of neuropsychiatric and neurodegenerative conditions.

There is conflicting evidence that sport plays a protective role in the development of psychopathological disorders and contributes to the sustainability of mental health. The aim of the present study was to determine the prevalence of mental disorders among elite Slovenian athletes. We were interested in the prevalence of depression, anxiety, suicide risk, substance abuse, and eating disorders among athletes of both sexes and among athletes of individual and team sports aged 18 years or older. A total of 97 elite athletes participated in the study. We used PAI and EDI-3 questionnaires, and the study also included a control group of 90 non-athletes, matched in gender and age to the target group of elite athletes. Testing was conducted in 2020 and 2021. The comparison between elite athletes and the normative group showed a similar expression of depressive and anxious symptomatology. The athletes have a more pronounced drive for thinness and are more expansive, self-confident, and confident of their abilities compared to the control group. A total of 14% of the athletes show self-confidence to the point of self-grandiosity. Male athletes are more likely to use alcohol and other psychoactive substances and are also more impulsive and risk-taking, while female athletes are at higher risk of developing eating disorders. The study suggests that the prevalence of mental disorders in elite athletes is as high as in the general population. There is an urgent need to sustainably ensure the psychological well-being of athletes.

Except of benefits for human population, several industrial activities have a negative consequences i.e. increasing of heavy metal content and changes in diversity of living organisms in environment. The aim of this work was to examinated the influence of high content of heavy metals on microbial diversity of soil. Researches was conducted at locations of former factory 'Rog' (Ljubljana, Republic of Slovenia), by taking of four samples of contaminated soil, while the control was uncontaminated soil sample. Determination of microbial diversity (abundance of bacteria, fungi and actinomycetes) was performed using the standard methodology. The results of research showed that abundance of microorganisms depends on location and presence/absence of contamination. In control treatment abundance of all examinated groups of microorganisms was higher compared with other samples. The bacterial number in contaminated samples was from 1.21 to 6.88x106 CFU/g, the number of fungi was from 1,08 to 30,30x103 CFU/g, while actinomycetes number from 302,15 to 381,82x103 CFU/g. In control treatment, bacterial number was 17,45x106 CFU/g, fungi number 54,02x103 CFU/g and actinomycetes number 481,91x103 CFU/g. These results confirms the importance of microbial diversity research on contaminated locations and potential applications of bioremediation technologies on locations of former factory 'Rog'.

Diabetic foot is a prevalent chronic complication of diabetes and increases the risk of lower limb amputation, leading to both an economic and a major societal problem. By detecting the risk of developing diabetic foot sufficiently early, it can be prevented or at least postponed. Using artificial intelligence, delayed diagnosis can be prevented, leading to more intensive preventive treatment of patients. Based on a systematic literature review, we analyzed 14 articles that included the use of artificial intelligence to predict the risk of developing diabetic foot. The articles were highly heterogeneous in terms of data use and showed varying degrees of sensitivity, specificity, and accuracy. The most used machine learning techniques were support vector machine (SVM) (n = 6) and K-Nearest Neighbor (KNN) (n = 5). Future research is recommended on larger samples of participants using different techniques to determine the most effective one.