Thanks to the development of more powerful computers and efficient numerical techniques, numerical modelling has become a compulsory tool in solving various problems in the field of energetic materials. In cases where measuring techniques are still unable to measure a given parameter, numerical modelling may be the only option of obtaining a value. In addition, numerical modelling helps us to better understand some phenomena, particularly in understanding the influence of input parameters on output results, as well as saving time and money. The thermochemical equilibrium code EXPLO5 is such a tool which enables theoretical prediction of performance of high explosives, propellants and pyrotechnic compositions. The code is used by more than 80 research laboratories worldwide.

Microbiomes are typically characterised by high species diversity but it is poorly understood how such system-level complexity can be generated and propagated. Here, we used soils as a relevant model to study microbiome development. Despite inherent stochastic variation in manipulating species-rich communities, both laboratory-mixed medium complexity (21 soil bacterial isolates in equal proportions) and high-diversity natural top-soil communities followed highly reproducible succession paths, maintaining distinct soil microbiome signatures. Development trajectories and compositional states were different for communities propagated in soils than in liquid suspension. Microbiome states were maintained over multiple renewed growth cycles but could be diverged by short-term pollutant exposure. The different but robust trajectories demonstrated that deterministic taxa-inherent characteristics underlie reproducible development and self-organized complexity of soil microbiomes within their environmental boundary conditions. Our findings also have direct implications for potential strategies to achieve controlled restoration of desertified land. TEASER Species-rich soil microbiomes grow and propagate reproducibly despite inherent stochastic complexity, paving the way for soil restoration.

Background Sustainable energy transition of a country is complex and long-term process, which requires decision-making in all stages and at all levels, including a large number of different factors, with different causality. The main objective of this paper is the development of a probabilistic model for decision-making in sustainable energy transition in developing countries of SE Europe. The model will be developed according to the specificities of the countries for which it is intended—SE Europe. These are countries where energy transition is slower and more difficult due to many factors: high degree of uncertainty, low transparency, corruption, investment problems, insufficiently reliable data, lower level of economic development, high level of corruption and untrained human resources. All these factors are making decision-making more challenging and demanding. Methods Research was done by using content analysis, artificial intelligence methods, software development method and testing. The model was developed by using MSBNx— Microsoft Research’s Bayesian Network Authoring and Evaluation Tool . Results Due to the large number of insufficiently clear, but interdependent factors, the model is developed on the principle of probabilistic (Bayesian) networks of factors of interest. The paper presents the first model for supporting decision-making in the field of energy sustainability for the region of Southeastern Europe, which is based on the application of Bayesian Networks. Conclusion Testing of the developed model showed certain characteristics, discussed in paper. The application of developed model will make it possible to predict the short-term and long-term consequences that may occur during energy transition by varying these factors. Recommendations are given for further development of the model, based on Bayesian networks.

Even though water-related forest ecosystem services are important for forestry and water management sectors, they have different definitions and are regulated differently in each sector, which makes them poorly recognized. How stakeholders from two main sectors (forestry and water management) perceive the importance of water-related forest ecosystem services, the trade-offs between ecosystem services and the effectiveness and implementation of payments schemes related to forest water ecosystem services were our areas of interest. We have conduct surveys with different groups of stakeholders from both sectors in four selected countries (the Federation of Bosnia and Herzegovina, Croatia, Slovenia and Serbia) with a lot of similarities and the potential to learn from each other. The results show that in spite of the spotted differences among analyzed countries, there is a high level of agreement among respondents on all investigated aspects. In addition, even though different payment schemes exist in three of four countries, stakeholders are rarely aware of their existence, or it is better to say that they do not recognize them as payment schemes for ecosystem services because of their names and definitions, which do not clearly define ecosystem services. Mostly, they use bundled services and non-voluntary payments and are designed and implemented by the states. Due to the strong role of states and the low transparency in the existing schemes, we looked at possible conditions reflected through stakeholders’ opinions for overcoming that obstacle for the development of new payment schemes. We found that there is a high level of acceptance of payments schemes as more effective than “command and control” schemes and of the involvement of other stakeholders in decision-making processes as those conditions that can positively influence development of new payment schemes in all four countries. These results give us hope that in spite of the strong role of the state in selected countries, the role of stakeholders will be more acknowledged and, by that, the future schemes will be more harmonized among the sectors and their goals and needs, contributing to its effectiveness as well.

Tomato (Solanum lycopersicum L.), family Solanaceae, has become in the past fifty years one of the most important and extensively grown horticultural crops in the Mediterranean region and throughout the world. In 2019, more than 180 million tonnes of tomato have been produced worldwide, out of which around 42 million tonnes in Mediterranean countries. Due to its genetic properties, tomato is afflicted by numerous plant diseases induced by fungal, bacterial, phytoplasma, virus, and viroid pathogens. Not only is its genetic inheritance of great importance to the management of the numerous tomato pathogens, but equally as important are also the present climate changes, the recently revised phytopathological control measures, and the globalization of the seed industry. Thus, the recognition of symptoms and the knowledge of the distribution and spread of the disease and of the methods for early detection of the pathogens are the major prerequisites for a successful management of the disease. In this review, we will describe the main tomato pathogens in the Mediterranean area that impact mostly the tomato yield and provide the current and perspective measures necessary for their successful management.

Introduction: Electromagnetic imaging is an emerging technology which promises to provide a mobile, and rapid neuroimaging modality for pre-hospital and bedside evaluation of stroke patients based on the dielectric properties of the tissue. It is now possible due to technological advancements in materials, antennae design and manufacture, rapid portable computing power and network analyses and development of processing algorithms for image reconstruction. The purpose of this report is to introduce images from a novel, portable electromagnetic scanner being trialed for bedside and mobile imaging of ischaemic and haemorrhagic stroke. Methods: A prospective convenience study enrolled patients (January 2020 to August 2020) with known stroke to have brain electromagnetic imaging, in addition to usual imaging and medical care. The images are obtained by processing signals from encircling transceiver antennae which emit and detect low energy signals in the microwave frequency spectrum between 0.5 and 2.0 GHz. The purpose of the study was to refine the imaging algorithms. Results: Examples are presented of haemorrhagic and ischaemic stroke and comparison is made with CT, perfusion and MRI T2 FAIR sequence images. Conclusion: Due to speed of imaging, size and mobility of the device and negligible environmental risks, development of electromagnetic scanning scanner provides a promising additional modality for mobile and bedside neuroimaging.

Null Hypothesis Significance Testing is a statistical procedure widely used in cognitive development research. There is widespread concern that the results of this statistical procedure are misinterpreted and lead to unsubstantiated claims about studies’ outcomes. Two particularly pertinent issues for research on cognitive development are: i) treating a non-significant result as evidence of no difference or no effect, and ii) treating a non-significant result in one group/condition and a significant result in another as evidence of a difference between groups/conditions. The current study focuses on quantifying the extent to which these two issues can be observed in the published literature on cognitive development. To this end, we will systematically search for empirical studies investigating cognitive development in 0-to-16-year-old children that have been published at two time points, namely in 1999 and 2019. For each of the two issues, we will extract information from 300 published articles, 150 per publication year.

Sunscreens ensure thorough protection against sunburn. The delivery of UV filters into the stratum corneum and viable epidermis could be reduced by the use of antioxidants (such as β-carotene and trans-resveratrol, alone or combined). The presence/absence of antioxidants (trans-resveratrol and β-carotene) in formulations containing benzophenone-3 (UV-filter) and their efficiency under disinfection and neutral conditions are studied and compared. The trial was conducted on 38 people. The prepared ointments were applied to the participants’ forearms, irradiated and monitored by reflectance colorimetry after 0, 4, 6, and 8 min. Descriptive statistics were used to describe the skin color’s main characteristics and the F-ratio was used to test overall differences. The ointments containing antioxidants and benzophenone-3 were the most efficient, followed by those with benzophenone-3 alone. It was proven that photoprotection with benzophenone-3 is still effective, despite the formation of its chlorinated products. Due to the short time of exposure to disinfecting conditions, it could be assumed that benzophenone-3 was only partially chlorinated. This clinical study demonstrated that formulations containing antioxidants are likely to be more suitable for protecting skin against UVB irradiation than a UV filter alone.

The issue of economic convergence has been widely analyzed by the researchers. Convergence hypothesis has been tested at different levels - global, national, regional and local. This paper is analyzing local economic convergence in Bosnia and Herzegovina (BiH) in last three decades. In this period the country was facing twofold transition: from war to peace and from socialism to market economy. The regression and distributional approach to convergence analysis are combined. The first hypothesis research is testing is that poor municipalities grow faster comparing to rich municipalities – unconditional beta convergence. Second hypothesis is that dispersion of local per capita GDP decreases over time – sigma convergence. To further investigate the issue and check the changes in the distribution, several visual inspection instruments were also used. The research findings are inconclusive. While regression analysis provides some evidence for unconditional beta-convergence, in a case of sigma convergence, results are mixed. This is related to significant structural changes country went through, firmly confirmed with the transitional probability matrix data. Findings confirm the necessity for combining different approaches and instruments while analysing convergence. From the specific country perspective, research results can be used as a strong argument for the necessity of new more balanced regional development policy.

Adverse childhood experiences (ACEs) are linked to various conduct and behavior problems within juvenile delinquents, but fewer studies focused on these associations among specific forensic typologies of offending. Utilizing data from 3382 institutionalized delinquents in Texas, logistic regression models indicated multiple associations between ACEs and forensic typologies in both adjusted and unadjusted models, with sexual abuse and physical abuse emerging as the most consistent and robust predictors. Supplemental sensitivity models confirmed the associations between sexual abuse and physical abuse among youth who fit multiple forensic typologies. Models fared poorly at identifying youth who are engaged in fire setting. Implications for total and singular ACEs are discussed, along with how those relate to more clinically meaningful, forensic forms of juvenile delinquency.

This paper describes the application of a smartphone as a detector in the determination of ethanol in distilled beverages. Digital image analysis as an analytical tool is a reality nowadays, and the use of smartphones stands out due to its high accessibility and practicality. The aim is to determine ethanol in distilled beverages using two cheap and simple methods using a smartphone as a detector. Two methods were used, with phenanthroline (method A) and with potassium dichromate (method B) as a reagents and two detectors, spectrophotometer and smartphone. Linear dependence of signal was achieved in the concentration range: from 1.0 to 65.0% (v/v) for method A and from 7.0 to 50.0% (v/v) for method B. The concentration range that is linear with the signal is wide and allows sufficient sensitivity and thus gives the possibility to determine a variety of distilled beverages. Comparison of the obtained results shows that the smartphone and the proposed reagents can be used in routine analysis in quality control of used samples. The results obtained are comparable with the results obtained using a spectrophtometer or with nominal values. The method proved to be simple and inexpensive for the determination of ethanol, does not use expensive reagents neither laborious procedures to carry out the analysis.

The ability to insert a gene into a plant’s nuclear or chloroplast genome enables the transformation of higher plants (e.g. tobacco, Arabidopsis thaliana, potato, tomato, and banana) into Bioreactors for the production of plant-derived pharmaceuticals. Biopharmaceuticals are generally produced on a commercial basis by scale fermentation in bacteria, yeast, or animal cells. Several plant-derived pharmaceuticals have undergone clinical trials and are close to market authorization, with antibodies and vaccines being the front runners. Plant-derived vaccines have been produced using recombinant plant viruses as transgenic expression vectors and Agrobacterium tumefaciens transformation systems. During the last decade, several efficient plant-based expression systems have been examined, and more than 100 recombinant proteins, including plant-derived vaccine antigens. Besides, regulatory protocols are slowing down production. Industry requirements and public acceptance of the technology are important aspects in establishing successful products. This paper reviews the current status of development in the area of biopharmaceuticals and vaccines produced from transgenic plants.

Understanding the global prevalence and phenotypic features of polycystic ovary syndrome (PCOS) is important as geographic factors and ethnic variations can significantly alter the clinical syndrome. The aim of this study was to determine and evaluate the luteinizing hormone/follicle-stimulating hormone ratio (LH/FSH) in women with PCOS during therapy on selected endocrine and biochemical parameters. Women with PCOS were included in the study and were classified into two groups: women without therapy (de novo) and women with therapy for PCOS. ESHERE/ASRM criteria that require the presence of two out of three criteria: ovulatory dysfunction, hyperandrogenism, and morphological PCOS detected by ultrasound diagnostics. Electrochemiluminescence immunoassay (ECLIA) was used for FSH and insulin analysis. The enzymatic method was used to analyze the biochemical profile. There was a significant difference between the two groups in terms of the LH/FSH ratio (2.56 vs. 2.41, P=0.043), glucose (6.23 vs. 5.12, P=0.003), insulin (19.21 vs. 7.35, P=0.000), IR (3.22 vs. 1.42, P=0.000), cholesterol (5.97 vs. 4.92, P=0.002), and LDL (3.56 vs. 2.56, P=0.001). The data suggest that patients with PCOS therapy have reduced hyperinsulinemia and insulin resistance. There was a significant correlation between the LH and FSH in the de novo group, as well as the correlation between hormone levels and LH/FSH ratio in both groups. Patients with PCOS therapy have a tendency for normal body weight and reduction of severe obesity compared to patients without therapy. Clinical features such as regular menstrual cycle and the prevalence of acne and hirsutism are not significantly different between groups. PCOS cause irregularities of the menstrual cycle, the appearance of clinical manifestations, especially changes of LH/FSH ratio. Therapy for PCOS contributes to better regulation of endocrine and biochemical parameters, especially in the reduction of hyperinsulinemia, insulin resistance, and reduced LH/FSH ratio.

Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. The management of lung cancer has dramatically improved in the last decade and is no longer based on the “one-fits-all” paradigm or the general histological classification of non-small cell versus small cell lung cancer. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. Molecular biomarkers have emerged as valuable tools in the prognosis and prediction of therapy response. In this review, we discuss the relevant biomarkers used in the clinical management of lung tumors, from diagnosis to prognosis. We also discuss promising new biomarkers, focusing on non-small cell lung cancer as the most abundant type of lung cancer.

Introduction: Treatment is generally not available for drug-induced liver injury (DILI) patients except in some specific circumstances. The management of DILI is based on the withdrawal of the responsible drug and monitoring the patients and only a few patients need to be referred to a transplant center. Some studies on the role of ursodeoxycholic acid (UDCA) in DILI have been published. The aim of this study was to perform a systematic review of the role of UDCA in the treatment and prevention of DILI. Methods: A search was undertaken in PubMed, with the key words ursodeoxycholic acid, drug-induced liver injury and hepatotoxicity following the PRISMA guidelines. Results: A total of 33 publications were identified: 25 case reports and 8 case series. In 18 of the 25 cases reports (22 patients), authors reported improvement of liver injury associated with UDCA therapy whereas 7 case reports did not show clinical or biochemical improvement after UDCA treatment. There were 4 studies evaluating the role of UDCA in the treatment of DILI, three prospective (one being a clinical trial) and one retrospective studies. Three studies observed liver profile improvements associated with UDCA. In addition, four studies evaluated UDCA in the prevention of DILI: one pilot study, two randomized clinical trials (RCT) and one retrospective study. Three of these studies observed a lower percentage of patients with an increase in transaminases in the groups that used UDCA for DILI prevention. Conclusion: According to available data UDCA seems to have some benefits in the treatment and prevention of DILI. However, the design of the published studies does not allow a firm conclusion to be drawn on the efficacy of UDCA in DILI. A well designed RCT to evaluate the role of UDCA in DILI is needed.