Our results extend the catalogue of regions associated with LC and highlight the importance of germline rare coding variants in LC susceptibility.

In the relatively small area of the National Park (NP) „Kopaonik“ a lot of exogenous and endogenous processes took part and continue to act until present day. In this paper are presented the geotouristic resources evaluation results for six geosites in the NP „Kopaonik“. The experts on this field gave their assessment in three versions. The first one is concerned with the evaluation of the educative contents, the second one is concerned with the evaluation of geotouristic values, while the third version, which is based on the Modified Geosite Assessment Model (M-GAM) offers the assessment regarding education, aesthetic significance, protection, functional and touristic values. The M-GAM method takes in consideration the opinion of visitors along with the estimation of subindicators given by experts, on whom relies the previous two versions. The include of visitors in the evaluation process leads to more objective estimations. Results obtained by this study can be useful for the improvement and planning of touristic activities on geosites because, bearing in mind their significance for the tourists, they indicate on the lower values that require more attention in the future.

Sexual dimorphism in cancer incidence and outcome is widespread. Understanding the underlying mechanisms is fundamental to improve cancer prevention and clinical management. Sex disparities are particularly striking in kidney cancer: across diverse populations, men consistently show unexplained two-fold increased incidence and worse prognosis. We have characterized genome-wide expression and regulatory networks of 609 renal tumors and 256 non-tumor renal tissues. Normal kidney displayed sex-specific transcriptional signatures, including higher expression of X-linked tumor suppressor genes in women. Sex-dependent genotype–phenotype associations unraveled women-specific immune regulation. Sex differences were markedly expanded in tumors, with male-biased expression of key genes implicated in metabolism, non-malignant diseases with male predominance, and carcinogenesis, including markers of tumor infiltrating leukocytes. Analysis of sex-dependent RCC progression and survival uncovered prognostic markers involved in immune response and oxygen homeostasis. In summary, human kidney tissues display remarkable sexual dimorphism at the molecular level. Sex-specific transcriptional signatures further shape renal cancer, with relevance for clinical management.

⎯Empirical studies of the late twentieth and early twenty-first century indicate the existence of a growth trend in air temperature. This trend is particularly pronounced in the region of Southern Europe, including the Republic of Serbia. Many problems occur in the socioeconomic areas due to global warming, which directly influences the development of tourism. In this study, we will deal with the influence of climate change on the sustainable development of mountain tourism in the area of the western and central Serbia tourist zones, which includes Starovlaška and Kopaonik mountain chain. The data on changes in the temperature of air will be gathered at six different altitude meteorological stations, for the period from 1990 to 2014. All weather stations in the studied area were classified into three groups: lowland, middle and high mountain. In order to obtain trends, three sets of data were used: the average monthly temperature, the maximum monthly temperature, and the monthly minimum temperature, recorded in each station. The seasonal classification has been conducted based on four seasons: spring, summer, autumn, and winter. Three statistical approaches were used to analyze the temperature trends in 15 time series, for each group of stations individually. First, the trend equation was calculated for each time series, then, completely separate from the first approach, all trends were assessed using the Mann-Kendall test, and in the end, in all cases, the trend magnitude was calculated based on the trend equation. The results show that there is a significant positive trend of temperature rise on an annual basis, while the trend is significantly positive during the fall and spring seasons. In winter, the trend is slightly positive or absent, while in the summer trend is moderately positive in all three groups of stations.

Rural regions in Serbia differ considerably in social, economic and demographic characteristics. Basic problems and trends almost all the rural regions share are migrations, poor diversification of economic activities, extensive agriculture, high level of unemployment, lack of employment possibilities, poor and underdeveloped infrastructure, low GDP per capita in comparison to the urban regions and unpolluted environment faced with potential threats . The subject of this paper is to point to the potentials of the rural tourism in Serbia with the aim of village revitalization, as well as its prevention from dying out. Also, the aim of the paper is to stress the fact that the rural tourism is a sustainable model of development and preservation of Serbian village and Serbian peasant from more aspects: economic, tourist, sociological, the spatial planning and ecological ones. Finally, the aim of the paper is to emphasize that it is possible to save village identity by its transformation into ethno village adopting the idea of European ethno villages. Rural tourism in Serbia must become `main` industry` and a generator of sleeping national economy. The main benefits belong to the rural households. Tourist agencies must be engaged in enabling a dialogue between their employees and local representatives. Clients must not only be observers but also critics in the spirit of trust and transparency. A full and true comprehension of the rural tourism role is realized through revealing habits of the host, traditional values rooted in the existing culture, establishment of relations amongst population at the local level. Serbia has favourable conditions for developing rural tourism. It has, in the first place, preserved nature, mild climate, clean air, unpolluted rivers and lakes, rich flora and fauna. At the moment, 11 regional centres (comprising 10-15 municipal offices) are engaged in collecting and spreading relevant information for respective target groups, as well as in strengthening of activities in the local communities. Serbia earns about 10 billion dinnars annually from the rural tourism or one-sixth of gross home product. With a better utilization of the potentials, the participation could be much higher. Rural tourism offers great opportunity for new work posts, but capacities should be used to a greater extent and the problem of seasonality should also be overcome. All the key aims of the rural development in Serbia must be defined by the strategy: development of sustainable and efficient agricultural sector, standard of living of the population which lives from agriculture, creation of social and economic conditions in the rural regions, all of it within the National strategy of the rural development of the Republic of Serbia.

During the past decade, the valley of the West Morava in the central part of the Republic of Serbia experienced several natural hazards that have changed the life of the inhabitants. The aim of this paper is to show how people perceive natural hazards in the areas where they do not have catastrophic consequences for the entire population. The perceptions of natural hazards were examined according to similar studies and collected through surveys and interviews. The obtained stratified sample information was coded, and the results are expressed in the parameters of descriptive statistics, using T-test and ANOVA. The population is partially affected if inhabited locations are in the threatened part of the West Morava River valley and if their activities have direct consequences by natural disasters. They emphasize the importance of the political influences and mass media, but they show the need for additional information on prevention and protection. That is where they see geography as profession that sublimates all knowledge of natural disasters, unlike others that are more narrowly skilled. The results of the research are the starting point for further regional comparisons, which will complement the picture of the people's attitude and resilience to natural hazards in Serbia and the Balkan Peninsula.

ABSTRACTThe emergence of Next-Generation Sequencing (NGS) has revolutionized the way of reaching a genome sequence, with the promise of potentially providing a comprehensive characterization of DNA variations. Nevertheless, detecting somatic mutations is still a difficult problem, in particular when trying to identify low abundance mutations such as subclonal mutations, tumour-derived alterations in body fluids or somatic mutations from histological normal tissue. The main challenge is to precisely distinguish between sequencing artefacts and true mutations, particularly when the latter are so rare they reach similar abundance levels as artefacts. Here, we present needlestack, a highly sensitive variant caller, which directly learns from the data the level of systematic sequencing errors to accurately call mutations. Needlestack is based on the idea that the sequencing error rate can be dynamically estimated from analyzing multiple samples together. We show that the sequencing error rate varies across alterations, illustrating the need to precisely estimate it. We evaluate the performance of needlestack for various types of variations, and we show that needlestack is robust among positions and outperforms existing state-of-the-art method for low abundance mutations. Needlestack, along with its source code is freely available on the GitHub plateform: https://github.com/IARCbioinfo/needlestack.

The emergence of next-generation sequencing (NGS) has revolutionized the way of reaching a genome sequence, with the promise of potentially providing a comprehensive characterization of DNA variations. Nevertheless, detecting somatic mutations is still a difficult problem, in particular when trying to identify low abundance mutations, such as subclonal mutations, tumour-derived alterations in body fluids or somatic mutations from histological normal tissue. The main challenge is to precisely distinguish between sequencing artefacts and true mutations, particularly when the latter are so rare they reach similar abundance levels as artefacts. Here, we present needlestack, a highly sensitive variant caller, which directly learns from the data the level of systematic sequencing errors to accurately call mutations. Needlestack is based on the idea that the sequencing error rate can be dynamically estimated from analysing multiple samples together. We show that the sequencing error rate varies across alterations, illustrating the need to precisely estimate it. We evaluate the performance of needlestack for various types of variations, and we show that needlestack is robust among positions and outperforms existing state-of-the-art method for low abundance mutations. Needlestack, along with its source code is freely available on the GitHub platform: https://github.com/IARCbioinfo/needlestack.