79 research outputs found

    ΠœΠΈΡ‚ΠΎΠΈΠ½Ρ…ΠΈΠ±ΠΈΡ€Π°Ρ‰ ΠΈ кластогСнСн Π΅Ρ„Π΅ΠΊΡ‚ Π½Π° Π²ΠΎΠ΄ΠΈ ΠΎΡ‚ Π°Π½Ρ‚Ρ€ΠΎΠΏΠΎΠ³Π΅Π½Π½ΠΎ повлияни Π·ΠΎΠ½ΠΈ

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    The present study aims to analyse the effect of waters, anthropogenically influenced by various pollutants, on the mitotic division and chromosomal apparatus of cells by establishing their potential mitoinhibitory and clastogenic effect. The cytotoxic and mutagenic effect of contaminated water was examined by the application of the Allium cepa test system. Mitotic depression has been established for samples with available anthropogenic contamination. Microscopic analysis showed an increased incidence of chromosomal aberrations in the test samples compared to the control, resulting from the genotoxic effect available. Chromosomal abnormalities of the type of lagging and β€˜vagrant’ chromosomes, chromosomal fragments, anaphase and telophase bridges, micronuclei, as well as deviations from normal cell division such as K-mitoses and asynchronous mitoses have been observed. The analysis of the spectrum of chromosomal aberrations shows some differences in the frequency of occurrence of the different types of disorders, which reflects the specificity of the genotoxic effect of the water samples from the surveyed areas.Настоящото ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½Π΅ ΠΈΠΌΠ° Π·Π° Ρ†Π΅Π» Π΄Π° Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€Π° влияниСто Π½Π° Π°Π½Ρ‚Ρ€ΠΎΠΏΠΎΠ³Π΅Π½Π½ΠΎ повлияни ΠΎΡ‚ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ Π·Π°ΠΌΡŠΡ€ΡΠΈΡ‚Π΅Π»ΠΈ Π²ΠΎΠ΄ΠΈ Π²ΡŠΡ€Ρ…Ρƒ ΠΌΠΈΡ‚ΠΎΡ‚ΠΈΡ‡Π½ΠΎΡ‚ΠΎ Π΄Π΅Π»Π΅Π½Π΅ ΠΈ хромозомния Π°ΠΏΠ°Ρ€Π°Ρ‚ Π½Π° ΠΊΠ»Π΅Ρ‚ΠΊΠΈΡ‚Π΅ Ρ‡Ρ€Π΅Π· установяванС Π½Π° потСнциалния ΠΈΠΌ ΠΌΠΈΡ‚ΠΎΠΈΠ½Ρ…ΠΈΠ±ΠΈΡ€Π°Ρ‰ ΠΈ кластогСнСн Π΅Ρ„Π΅ΠΊΡ‚ Π§Ρ€Π΅Π· ΠΏΡ€ΠΈΠ»Π°Π³Π°Π½Π΅ Π½Π° Allium cepa тСст-систСмата Π΅ ΠΏΡ€ΠΎΡƒΡ‡Π΅Π½ΠΎ цитотоксичното ΠΈ ΠΌΡƒΡ‚Π°Π³Π΅Π½Π½ΠΎΡ‚ΠΎ дСйствиС Π½Π° Π·Π°ΠΌΡŠΡ€ΡΠ΅Π½ΠΈΡ‚Π΅ Π²ΠΎΠ΄ΠΈ. ΠšΠΎΠ½ΡΡ‚Π°Ρ‚ΠΈΡ€Π°Π½Π° Π΅ ΠΌΠΈΡ‚ΠΎΡ‚ΠΈΡ‡Π½Π° дСпрСсия Π·Π° ΠΏΡ€ΠΎΠ±ΠΈΡ‚Π΅ с Π½Π°Π»ΠΈΡ‡Π½ΠΎ Π°Π½Ρ‚Ρ€ΠΎΠΏΠΎΠ³Π΅Π½Π½ΠΎ Π·Π°ΠΌΡŠΡ€ΡΡΠ²Π°Π½Π΅. ΠœΠΈΠΊΡ€ΠΎΡΠΊΠΎΠΏΡΠΊΠΈΡΡ‚ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π²Π° ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½Π° чСстота Π½Π° Ρ…Ρ€ΠΎΠΌΠΎΠ·ΠΎΠΌΠ½ΠΈΡ‚Π΅ Π°Π±Π΅Ρ€Π°Ρ†ΠΈΠΈ Π² ΠΎΠΏΠΈΡ‚Π½ΠΈΡ‚Π΅ ΠΏΡ€ΠΎΠ±ΠΈ Π² сравнСниС с ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π°Ρ‚Π°, ΠΊΠΎΠ΅Ρ‚ΠΎ Π΅ Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ ΠΎΡ‚ Π½Π°Π»ΠΈΡ‡Π΅Π½ гСнотоксичСн Π΅Ρ„Π΅ΠΊΡ‚. ΠšΠΎΠ½ΡΡ‚Π°Ρ‚ΠΈΡ€Π°Π½ΠΈ са Ρ…Ρ€ΠΎΠΌΠΎΠ·ΠΎΠΌΠ½ΠΈ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΈ ΠΎΡ‚ Ρ‚ΠΈΠΏΠ° Π½Π° изоставащи ΠΈ β€žΡΠΊΠΈΡ‚Π°Ρ‰ΠΈβ€ Ρ…Ρ€ΠΎΠΌΠΎΠ·ΠΎΠΌΠΈ, Ρ…Ρ€ΠΎΠΌΠΎΠ·ΠΎΠΌΠ½ΠΈ Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΈ, Π°Π½Π°Ρ„Π°Π·Π½ΠΈ ΠΈ Ρ‚Π΅Π»ΠΎΡ„Π°Π·Π½ΠΈ мостовС, микроядра, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ отклонСния ΠΎΡ‚ Π½ΠΎΡ€ΠΌΠ°Π»Π½ΠΎΡ‚ΠΎ ΠΊΠ»Π΅Ρ‚ΡŠΡ‡Π½ΠΎ Π΄Π΅Π»Π΅Π½Π΅ ΠΊΠ°Ρ‚ΠΎ К-ΠΌΠΈΡ‚ΠΎΠ·ΠΈ ΠΈ асинхронни ΠΌΠΈΡ‚ΠΎΠ·ΠΈ. ΠΠ½Π°Π»ΠΈΠ·ΡŠΡ‚ Π½Π° ΡΠΏΠ΅ΠΊΡ‚ΡŠΡ€Π° Π½Π° Ρ…Ρ€ΠΎΠΌΠΎΠ·ΠΎΠΌΠ½ΠΈΡ‚Π΅ Π°Π±Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π²Π° извСстни различия Π² чСстотата Π½Π° срСщанС Π½Π° ΠΎΡ‚Π΄Π΅Π»Π½ΠΈΡ‚Π΅ Ρ‚ΠΈΠΏΠΎΠ²Π΅ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ, ΠΊΠΎΠ΅Ρ‚ΠΎ отразява спСцификата Π½Π° гСнотоксичното дСйствиС Π½Π° Π²ΠΎΠ΄Π½ΠΈΡ‚Π΅ ΠΏΡ€ΠΎΠ±ΠΈ ΠΎΡ‚ ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½ΠΈΡ‚Π΅ Π·ΠΎΠ½ΠΈ

    Formal Definition of the Concept β€œInfos”

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    The concept INFOS is very important for understanding the information phenomena. Because of this, it is basic for the General Information Theory. The more precise formal definition of this concept is given in the paper

    Adaptive Mirror Descent for the Network Utility Maximization Problem

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    Network utility maximization is the most important problem in network traffic management. Given the growth of modern communication networks, we consider the utility maximization problem in a network with a large number of connections (links) that are used by a huge number of users. To solve this problem an adaptive mirror descent algorithm for many constraints is proposed. The key feature of the algorithm is that it has a dimension-free convergence rate. The convergence of the proposed scheme is proved theoretically. The theoretical analysis is verified with numerical simulations. We compare the algorithm with another approach, using the ellipsoid method (EM) for the dual problem. Numerical experiments showed that the performance of the proposed algorithm against EM is significantly better in large networks and when very high solution accuracy is not required. Our approach can be used in many network design paradigms, in particular, in software-defined networks

    Aloenzimna genetichna harakteristika na pchelni semeystva Apis mellifera (Hymenoptera: Apidae) ot Bulgaria s razlichno higienno povedenie

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    The genetic variability in 25 honey bee colonies from different regions of Bulgaria with different hygienic behaviour (highly hygienic, hygienic and non-hygienic) has been studied. Alloenzyme analysis of two systems (MDH-1 and Est-3) corresponding to 2 loci was used in order to characterize the colony polymorphism. Totally 1,150 worker bees were included in this investigation. MDH-1 locus was found to be polymorphic in all of the studied colonies, having two alleles – MDH-165 and MDH-1100. The Est-3 locus was fixed in ten of the investigated colonies. Polymorphism with total presence of four alleles of this locus (Est-380, Est-388, Est-3100 and Est-3118) was found in the other studied colonies. The calculated polymorphism was 50% in the non-hygienic and 100% in the highly hygienic and hygienic colonies. The observed and expected heterozygosities (Ho and He) ranged from 0.296 to 0.354 and from 0.28 to 0.332 in non-hygienic and highly hygienic groups, respectively. The calculated mean observed and expected heterozygosities were 0.32 and 0.307, respectively. The calculated Fst and Nm levels demonstrated lower differentiation between highly hygienic and hygienic colonies and higher differentiation between highly hygienic and non-hygienic colonies. Dissimilarities between levels of polymorphism, heterozygosity, Fst, Nm and allele frequencies in the studied groups of colonies with different hygienic behaviour were found and discussed. The results of the present study provide new information concerning relations between hygienic behaviour and alloenzyme characteristics which could be used for future selection with honey bees in Bulgaria.Obekt na nastoyashtoto izsledvane e genetichnata izmenchivost, ustanovena pri rabota s 25 pchelni semeystva ot razlichni rayoni na Bulgaria s razlichno higienno povedenie (Visoko higienichni, higienichni i ne-higiennichni). Izyaveniyat polimorfizam e harakteriziran na bazata na aloenzimen analiz po dve sistemi (MDH-1 i Est-3), saotvetstvashti na dva polimorfni lokusa. Obshto 1150 pcheli rabotnichki sa vklyucheni v izsledvaneto. Ustanoveno e, che MDH-1 lokusat e polimorfen vav vsichki izsledvani pchelni semeystva i e predstaven ot dva alela - MDH-165 i MDH-1100. Est-3 lokusat e fiksiran v deset ot izsledvanite kolonii. Po tozi lokus e konstatiran polimorfizam s prisastvie obshto na chetiri alelni varianti (Est-380, Est-388, Est-3100 i Est-3118) za genofonda na ostanalite pchelni semeystva. Izchisleniyat polimorfizam e mezhdu 50% i 100%. Ustanovenata i ochakvanata heterozigotnost (Ho i He) varira saotvetno ot 0.296 do 0.354 i 0.28 ot 0.332 pri ne-higienichnite i visoko higienichnite grupi. Izchislenite sredna nablyudavana i ochakvana heterozigotnosti sa saotvetno 0.32 i 0.307. Izchislenite niva na Fst i Nm pokazvat po-niska diferentsiatsia mezhdu visoko higienichnite i higienichnite semeystva i visoka diferentsiatsia mezhdu visoko higienichnite i ne-higienichnite semeystva. Konstatirani i obsadeni sa razlichia mezhdu nivata na polimorfizam, heterozigotnost, Fst, Nm i alelnite chestoti v izsledvanite grupi pchelni semeystva s razlichno higienno povedenie. Rezultatite ot nastoyashtoto prouchvane davat nova informatsia otnosno zavisimostta mezhdu nivata na higienno povedenie i aloenzimnite harakteristiki, koito biha mogli da se izpolzvat v badeshti deynosti po selektsia na medonosnite pcheli v Bulgaria

    DEVELOPMENT OF SOCIAL CAPITAL IN EDUCATIONAL PROCESS

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    The article is devoted to educational opportunities for the formation of social capital. Social capital is manifested in the ability of people to communicate and work together. Analysis of the concept of social capital allows understanding the foundations of social interaction, the need for trust, and the relationship between the formation and distribution of the social trust, norms, and social capital itself. Social capital does not exist outside people. Social capital cannot be characterized as an attribute of a separate individual. Social capital belongs to the group, the community. Learning is a situation of joint activity. In modern pedagogy, the problem is how to teach, organizing effective joint forms of educational activity. In distance learning (e-learning), it is important to organize the educational environment to have properties that make up for the lack of live communication. Today, the subjective nature of the educational process, focused on the formation of a creative personality, is being affirmed. Educational priorities are aimed at comfortable, conflict-free cooperation between the student at all levels of the educational process and the teacher, perhaps even partnership. The teacher and the student jointly develop goals, objectives, problem search field of research, working "cocreatively," a mini-team. This anthropocentric pedagogical technology relates to project and problem technologies in the educational process

    Radiotherapy. stages of planning of the radiotherapy process. TNM classification

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    Π’ Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅Ρ‚ΠΎ днСс сС ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°Ρ‚ Π΄Π²Π΅ основни Π³Ρ€ΡƒΠΏΠΈ ΠΉΠΎΠ½ΠΈΠ·ΠΈΡ€Π°Ρ‰ΠΈ Π»ΡŠΡ‡Π΅Π½ΠΈΡ - Ρ„ΠΎΡ‚ΠΎΠ½ΠΈ ΠΈ Π·Π°Ρ€Π΅Π΄Π΅Π½ΠΈ частици. Π€ΠΎΡ‚ΠΎΠ½ΠΈ са Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ²ΠΈΡ‚Π΅, Π³Π°ΠΌΠ° ΠΈ високоСнСргийното спирачно Π»ΡŠΡ‡Π΅Π½ΠΈΠ΅ (Π₯-Π»ΡŠΡ‡ΠΈΡ‚Π΅), a частици - Π±Π΅Ρ‚Π°-Π»ΡŠΡ‡ΠΈΡ‚Π΅, ускорСнитС Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½ΠΈ, ΠΏΡ€ΠΎΡ‚ΠΎΠ½ΠΈΡ‚Π΅, ΠΏΠΈ-ΠΌΠ΅Π·ΠΎΠ½ΠΈΡ‚Π΅ ΠΈ Ρ‚Π΅ΠΆΠΊΠΈΡ‚Π΅ ΠΉΠΎΠ½ΠΈ. Π”ΠΎ скоро Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ²Π°Ρ‚Π° ΠΈ тСлСгаматСрапията бяха Π²ΠΎΠ΄Π΅Ρ‰ΠΈ Π² Π‘ΡŠΠ»Π³Π°Ρ€ΠΈΡ. Π‘ въвСТданС Π½Π° Π»ΠΈΠ½Π΅ΠΉΠ½ΠΈΡ‚Π΅ ускоритСли Π½Π°ΠΉ-ΡˆΠΈΡ€ΠΎΠΊΠΎ Π΅ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅Ρ‚ΠΎ Π½Π° Π₯-Π»ΡŠΡ‡ΠΈΡ‚Π΅ ΠΈ ускорСнитС Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½ΠΈ. Π Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ²Π°Ρ‚Π° тСрапия сС ΠΏΡ€ΠΈΠ»Π°Π³Π° ΠΏΡ€ΠΈ ΠΊΠΎΠΆΠ½ΠΈ Π»Π΅Π·ΠΈΠΈ с ΠΌΠ°Π»ΠΊΠΈ Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΈ.ΠŸΡ€ΠΎΡ†Π΅ΡΡŠΡ‚ Π½Π° ΠΏΠ»Π°Π½ΠΈΡ€Π°Π½Π΅ Π½Π° Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅Ρ‚ΠΎ Π΅ Ρ‚Ρ€ΡƒΠ΄Π΅Π½, ΡΡŠΠ΄ΡŠΡ€ΠΆΠ° ΠΌΠ½ΠΎΠ³ΠΎ ΡΡ‚ΡŠΠΏΠΊΠΈ ΠΈ високорискови дСйности, Ρ‚ΡŠΠΉ ΠΊΠ°Ρ‚ΠΎ Π²ΠΊΠ»ΡŽΡ‡Π²Π° ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°Π½Π΅Ρ‚ΠΎ Π½Π° ΠΌΠ½ΠΎΠ³ΠΎ ΠΈΠ·Ρ‚ΠΎΡ‡Π½ΠΈΡ†ΠΈ Π½Π° информация ΠΈ взаимодСйствиСто Π½Π° Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ спСциалисти, участващи Π² Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π±Π½ΠΈΡ процСс. TNM класификацията сС ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π° Π·Π° опрСдСлянС ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ†ΠΈΠΈΡ‚Π΅ Π·Π° Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅.ΠŸΡ€ΠΈ всички Π±ΠΎΠ»Π½ΠΈ, ΠΊΠΎΠΈΡ‚ΠΎ сС ΠΎΠ±Π»ΡŠΡ‡Π²Π°Ρ‚ с Π»ΠΈΠ½Π΅ΠΉΠ½ΠΈ ускоритСли, сС ΠΏΡ€ΠΈΠ»Π°Π³Π° Ρ‚Ρ€ΠΈΠΈΠ·ΠΌΠ΅Ρ€Π½ΠΎ ΠΏΠ»Π°Π½ΠΈΡ€Π°Π½Π΅. ΠžΡΠ½ΠΎΠ²Π½ΠΎΡ‚ΠΎ Π΅, Ρ‡Π΅ ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½ΠΈΡΡ‚ ΠΎΠ±Π΅ΠΌ ΠΈ ΠΊΡ€ΠΈΡ‚ΠΈΡ‡Π½ΠΈΡ‚Π΅ ΠΎΡ€Π³Π°Π½ΠΈ сС Π·Π°Π΄Π°Π²Π°Ρ‚ Π² ΠΏΠΎΡ€Π΅Π΄ΠΈΡ†Π° ΠΎΡ‚ срСзовС с Π΄Π΅Π±Π΅Π»ΠΈΠ½Π°, ΠΏΠΎ-голяма ΠΎΡ‚ 0,5 см. По Ρ‚ΠΎΠ·ΠΈ Π½Π°Ρ‡ΠΈΠ½ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»Π½ΠΎ сС повишава точността ΠΈ качСството Π½Π° ΠΏΠ»Π°Π½ΠΈΡ€Π°Π½ΠΎΡ‚ΠΎ Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅. Π’Π΅Ρ…Π½ΠΈΠΊΠΈΡ‚Π΅ Π½Π° ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½Π΅, ΠΏΡ€ΠΈΠ»Π°Π³Π°Π½ΠΈ с Π»ΠΈΠ½Π΅Π΅Π½ ускоритСл, са ΠΈΠ·ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΈΡ‡Π½ΠΈ ΠΈ Π½Π°Π»Π°Π³Π°Ρ‚ ΠΌΠ°Ρ€ΠΊΠΈΡ€Π°Π½Π΅ Π½Π° ΠΈΠ·ΠΎΠ΅Π½Ρ‚ΡŠΡ€Π° Π½Π° ΠΊΠΎΠΆΠ°Ρ‚Π° Π½Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° ΠΈΠ»ΠΈ Π½Π° ΠΈΠΌΠΎΠ±ΠΈΠ»ΠΈΠ·ΠΈΡ€Π°Ρ‰ΠΈΡ‚Π΅ устройства. Π˜Π·ΠΎΡ†Π΅Π½Ρ‚ΡŠΡ€ΡŠΡ‚ сС поставя ΠΏΡ€ΠΈ ΠΏΡŠΡ€Π²ΠΎΡ‚ΠΎ ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½Π΅ Π½Π° тСрапСвтичния Π°ΠΏΠ°Ρ€Π°Ρ‚ Π² ΠΏΡ€ΠΈΡΡŠΡΡ‚Π²ΠΈΠ΅Ρ‚ΠΎ Π½Π° Π»Π΅ΠΊΠ°Ρ€ ΠΈ Ρ„ΠΈΠ·ΠΈΠΊ-дозимСтрист, ΠΈΠ·Π³ΠΎΡ‚Π²ΠΈΠ» индивидуалния ΠΏΠ»Π°Π½.Ако всСки Π»ΡŠΡ‡Π΅Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚ΠΈΡ‡Π΅Π½ Ρ†Π΅Π½Ρ‚ΡŠΡ€ Ρ€Π°Π·ΠΏΠΎΠ»Π°Π³Π° с пълСн Π½Π°Π±ΠΎΡ€ ΠΎΡ‚ Π»ΡŠΡ‡Π΅Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚ΠΈΡ‡Π½Π° Π°ΠΏΠ°Ρ€Π°Ρ‚ΡƒΡ€Π°, Ρ‚ΠΎΠ²Π° Π΄Π°Π²Π° Π²ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ Π·Π° Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΎ ΠΈ ΡΡŠΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½Π΅ Π½Π° всички Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π½Π° злокачСствСни ΠΈ доброкачСствСни новообразувания, с ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π·Π° Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅. Π’ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡ‡Π½Π°Ρ‚Π° ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Π° систСма сС ΡΡŠΡ…Ρ€Π°Π½ΡΠ²Π°Ρ‚: Π»ΠΈΡ‡Π½ΠΈΡ‚Π΅ Π΄Π°Π½Π½ΠΈ Π½Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°, ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π½Π°Ρ‚Π° информация относно заболяванСто ΠΈ Π²ΠΈΠ΄Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅, дозимСтричният ΠΏΠ»Π°Π½ Π½Π° ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½Π΅Ρ‚ΠΎ, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ ΠΏΠΎΠ΄Ρ€ΠΎΠ±Π½Π° информация Π·Π° ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎΡ‚ΠΎ Π»ΡŠΡ‡Π΅Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅. Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡΡ‚Π° сС Π°Ρ€Ρ…ΠΈΠ²ΠΈΡ€Π° с Π²ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ Π·Π° справка Π½Π° броя Π½Π° ΠΈΠ·Π²ΡŠΡ€ΡˆΠ΅Π½ΠΈΡ‚Π΅ сСанси ΠΈ ΠΎΠ±Π»ΡŠΡ‡Π²Π°Π½ΠΈ ΠΎΠ±Π΅ΠΌΠΈ, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ статистичСски Π°Π½Π°Π»ΠΈΠ· Π½Π° мноТСство Π΄Π°Π½Π½ΠΈ, отнасящи сС Π΄ΠΎ цялостния Π»ΡŠΡ‡Π΅Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚ΠΈΡ‡Π΅Π½ процСс.In modern radiotherapy two main groups of ionizing radiation are used - photons and charged particles. The photons consist of orthovoltage x-rays, gamma rays and high-energy x-rays, and the particles are beta-rays, accelerated electrons, protons, pi mesons and heavy ions. Until recently orthovoltage and telegamatherapy have been the main types of radiotherapy in Bulgaria. Now with the installation of linear accelerators, x-rays, and accelerated electrons are most commonly used. Orthovoltage radiotherapy is used for small skin lesions.The planning process of radiotherapy is difficult and contains many steps and high-risk activities as it includes the use of many sources of information and the collaboration of different specialists participating in the radiotherapy process. TNM classification is used to define the indication for radiotherapy. Three-dimensional planning is applied to all patients that are treated at a linear accelerator. The main issue here is that the target volume and the critical organs are defined as a series of consecutive CT scans with thickness of less than 0.5 cm. Thus, the accuracy and the quality of the planned radiotherapy are significantly improved. Isocenter irradiation techniqes are used with linear accelerators and this requires marking the isocenter on the patient`s skin or on the immobilization devices.The isocenter is marked during the first irradiation at the treatment machine in the presence of a physician and a physicist-dosimetrist who has developed the individual plan.If a single radiotherapy department is equiped with the full set of radiotherapy machines, this will provide adequate and modern irradiation of all malignant tumors and benign conditions requiring radiotherapy. The oncology information system stores the demographic data of the patient, the clinical information about the disease and treatment methods, the treatment as well as detailed information about the radiotherapy course . The information is archived and allows the checking of the number of performed fractions, the irradiated volumes as well as the performing of a statistical analysis of multiple data related to the entire radiotherapy process

    Phytosanitary Status of Wheat Crops in Northeastern Bulgaria

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    In the present work, the results of a survey of wheat crops in the area of the IASS quot%253BObraztsov chiflikquot%253B ndash%253B Ruse are presented. The study was carried out during the period 2018-2021, at the experimental field of the institute, according to accepted methods for weed infestation, species composition of the entomofauna and economically important wheat diseases. The aim of the study is to determine the species composition of weeds, diseases and insect pest in wheat crops under the relevant agro-climatic conditions. Weed species composition differed by year, with a total of 15 weed species from 10 families recorded. Veronica agrestis L., Lamium purpureum L., Anthemis arvensis L., Convolvulus arvensis L. and Cirsium arvense L. are ubiquitous in surveyed crop. Insects belonging to the orders Coleoptera, Diptera, Hemiptera, Homoptera, Hymenoptera, Lepidoptera, Neuroptera and Orthoptera were identified. The proportion of the orders to which the species belonged in the three years of the study differed in culture. The total number of insects detected during the three years of the test varied on average (CV%253D15.63%25) ndash%253B 373 pcs. in 2019, 280 pcs. in 2020 and 372 pcs. in 2021. During the period, 3 fungal pathogens of the genera Puccinia, Erysiphe and Septoria were identified. The development of Puccinia and Erysiphe pathogens during the study period was within acceptable limits according to the SEV scale (from 10%25 to 25%25). Massive development of the pathogen Septoria sp. was observed, with the affected plant area reaching up to 65%25, according to the SEV scale

    Kidney stone disease (Nephrolithiasis) - Pathogenesis, types of imaging diagnostic methods in contemporary medicine

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    Π ΠΈΡΠΊΡŠΡ‚ ΠΎΡ‚ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Π½Π° Π½Π΅Ρ„Ρ€ΠΎΠ»ΠΈΡ‚ΠΈΠ°Π·Π° Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡ‚Π΅ страни Π΅ ΠΎΠΊΠΎΠ»ΠΎ 12% ΠΏΡ€ΠΈ ΠΌΡŠΠΆΠ΅Ρ‚Π΅ ΠΈ 6% ΠΏΡ€ΠΈ ΠΆΠ΅Π½ΠΈΡ‚Π΅. Бялата раса Π΅ ΠΏΠΎ-засСгната ΠΎΡ‚ Ρ‡Π΅Ρ€Π½Π°Ρ‚Π°. ЧСстотата Π½Π° заболяванСто сС ΡƒΠ²Π΅Π»ΠΈΡ‡Π°Π²Π° ΠΏΡ€Π°Π²ΠΎΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»Π½ΠΎ Π½Π° ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½Π°Ρ‚Π° чСстота Π½Π° Π·Π°Ρ…Π°Ρ€Π΅Π½ Π΄ΠΈΠ°Π±Π΅Ρ‚ Ρ‚ΠΈΠΏ Π†Π† ΠΈ Π½Π°Π΄Π½ΠΎΡ€ΠΌΠ΅Π½ΠΎΡ‚ΠΎ Ρ‚Π΅Π³Π»ΠΎ. Π‘ΡŠΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅Ρ‚ΠΎ мъТС / ΠΆΠ΅Π½ΠΈ Π΅ 1,3:1. ЧСстотата сС ΡƒΠ²Π΅Π»ΠΈΡ‡Π°Π²Π° във Π²ΡŠΠ·Ρ€Π°ΡΡ‚Ρ‚Π° Π½Π°Π΄ 20 Π³ΠΎΠ΄ΠΈΠ½ΠΈ, a ΠΏΠΈΠΊΡŠΡ‚ Π½Π° патологията Π΅ във Π²ΡŠΠ·Ρ€Π°ΡΡ‚ΠΎΠ²Π°Ρ‚Π° Π³Ρ€ΡƒΠΏΠ° ΠΌΠ΅ΠΆΠ΄Ρƒ 40-60 Π³ΠΎΠ΄ΠΈΠ½ΠΈ, слСд ΠΊΠΎΠ΅Ρ‚ΠΎ намалява ΠΈ остава константа. НСфролитиазата Π΅ извСстна ΠΎΡ‰Π΅ ΠΊΠ°Ρ‚ΠΎ Π±ΡŠΠ±Ρ€Π΅Ρ‡Π½ΠΎ-ΠΊΠ°ΠΌΠ΅Π½Π½Π° болСст ΠΈ сС Ρ€Π°Π·Π²ΠΈΠ²Π° ΠΏΡ€ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ с Π³Π΅Π½Π΅Ρ‚ΠΈΡ‡Π½Π° прСдиспозиция, ΠΏΡ€ΠΈ ΡˆΠΈΡ€ΠΎΠΊ ΡΠΏΠ΅ΠΊΡ‚ΡŠΡ€ ΠΎΡ‚ ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»ΠΈΡ‚Π½ΠΈ заболявания, a ΡΡŠΡ‰ΠΎ ΠΈ ΠΏΡ€ΠΈ мноТСство ΠΊΠΎΠΌΠΎΡ€Π±ΠΈΠ΄Π½ΠΈ ΡΡŠΡΡ‚ΠΎΡΠ½ΠΈΡ. ΠŸΠΎΠ²Π΅Ρ‡Π΅Ρ‚ΠΎ камъни са ΠΈΠ·Π³Ρ€Π°Π΄Π΅Π½ΠΈ ΠΎΡ‚ ΠΊΠ°Π»Ρ†ΠΈΠ΅Π² оксалат ΠΈ ΠΏΠΈΠΊΠΎΡ‡Π½Π° кисСлина, струвит (Π°ΠΌΠΎΠ½ΠΈΠ΅Π²ΠΎ-ΠΌΠ°Π³Π½Π΅Π·ΠΈΠ΅Π² сулфат), цистин, Π°ΠΌΠΎΠ½ΠΈΠ΅Π² ΡƒΡ€Π°Ρ‚. НапослСдък сС повишава чСстотата Π½Π° лСкарствСно ΠΈΠ½Π΄ΡƒΡ†ΠΈΡ€Π°Π½Π°Ρ‚Π° Π½Π΅Ρ„Ρ€ΠΎΠ»ΠΈΡ‚ΠΈΠ°Π·Π°, която сС наблюдава ΠΏΡ€ΠΈ ΠΈΠΌΠΎΠ±ΠΈΠ»ΠΈΠ·ΠΈΡ€Π°Π½ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ.ΠžΠ±Ρ€Π°Π·Π½ΠΎΠ΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ‡Π½ΠΈΡ‚Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ Π·Π°ΠΏΠΎΡ‡Π²Π°Ρ‚ с ΡƒΠ»Ρ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΡ‚ΠΎ изслСдванС Π½Π° ΠΏΠΈΠΊΠΎΡ‡ΠΎ-ΠΎΡ‚Π΄Π΅Π»ΠΈΡ‚Π΅Π»Π½Π°Ρ‚Π° систСма. Π’ΠΎ ΠΎΡ‚ΠΊΡ€ΠΈΠ²Π° голям ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ ΠΎΡ‚ всички ΠΊΠΎΠ½ΠΊΡ€Π΅ΠΌΠ΅Π½Ρ‚ΠΈ, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ ΠΏΠ°Ρ€Π΅Π½Ρ…ΠΈΠΌΠ½ΠΈ процСси, ΠΊΠΎΠΈΡ‚ΠΎ Π±ΠΈΡ…Π° ΠΌΠΎΠ³Π»ΠΈ Π΄Π° ΠΈΠΌΠΈΡ‚ΠΈΡ€Π°Ρ‚ Ρ€Π΅Π½Π°Π»Π½Π° ΠΊΠΎΠ»ΠΈΠΊΠ°. ΠžΠ±Π·ΠΎΡ€Π½Π°Ρ‚Π° рСнтгСнография Π½Π° Π±ΡŠΠ±Ρ€Π΅Ρ†ΠΈ, ΡƒΡ€Π΅Ρ‚Π΅Ρ€ΠΈ, ΠΏΠΈΠΊΠΎΡ‡Π΅Π½ ΠΌΠ΅Ρ…ΡƒΡ€ (Π‘Π£Πœ) прСдставлява Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ²ΠΎ изслСдванС Π½Π° ΠΎΡ‚Π΄Π΅Π»ΠΈΡ‚Π΅Π»Π½Π°Ρ‚Π° систСма, ΠΊΠΎΠ΅Ρ‚ΠΎ дСмонстрира ΠΊΠΎΠ½ΠΊΡ€Π΅ΠΌΠ΅Π½Ρ‚ΠΈ с ΠΊΠ°Π»Ρ†ΠΈΠ΅Π²ΠΎ ΡΡŠΠ΄ΡŠΡ€ΠΆΠΈΠΌΠΎ; ΠΎΠ±ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΎ ΠΏΡ€Π΅Π΄ΡˆΠ΅ΡΡ‚Π²Π° Π²Π΅Π½ΠΎΠ·Π½Π°Ρ‚Π° урография ΠΈ Π΄Ρ€ΡƒΠ³ΠΈ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ²ΠΈ изслСдвания. Π’Π΅Π½ΠΎΠ·Π½Π° урография - ΠΌΠ΅Ρ‚ΠΎΠ΄ΡŠΡ‚ Π΄Π°Π²Π° информация ΠΊΠ°ΠΊΡ‚ΠΎ Π·Π° позицията ΠΈ Ρ€Π°Π·ΠΌΠ΅Ρ€Π° Π½Π° ΠΊΠΎΠ½ΠΊΡ€Π΅ΠΌΠ΅Π½Ρ‚Π°, Ρ‚Π°ΠΊΠ° ΠΈ Π·Π° ΡΡŠΡΡ‚ΠΎΡΠ½ΠΈΠ΅Ρ‚ΠΎ Π½Π° Π±ΡŠΠ±Ρ€Π΅Ρ‡Π½Π°Ρ‚Π° функция. ΠœΠ΅Ρ‚ΠΎΠ΄ΡŠΡ‚ ΠΎΠ±Π°Ρ‡Π΅ ΠΈΠΌΠ° риск ΠΎΡ‚ извСстна нСфротоксичност. ΠšΠΎΠΌΠΏΡŽΡ‚ΡŠΡ€Π½Π° томография Π±Π΅Π· ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°Π½Π΅ Π½Π° контрастна матСрия дСмонстрира ΠΊΠΎΠ½ΠΊΡ€Π΅ΠΌΠ΅Π½Ρ‚ΠΈ във всяка Π΅Π΄Π½Π° част ΠΎΡ‚ ΠΎΡ‚Π΄Π΅Π»ΠΈΡ‚Π΅Π»Π½Π°Ρ‚Π° систСма.Има Ρ€Π΅Π΄ΠΈΡ†Π° заболявания, ΠΊΠΎΠΈΡ‚ΠΎ ΠΌΠΎΠ³Π°Ρ‚ Π΄Π° ΠΈΠΌΠΈΡ‚ΠΈΡ€Π°Ρ‚ симптомитС Π½Π° Π‘ΠšΠ‘ ΠΈ ΠΏΠΎΡ€Π°Π΄ΠΈ Ρ‚Π°Π·ΠΈ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π° Π΅ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ Ρ‚Π΅ Π΄Π° Π±ΡŠΠ΄Π°Ρ‚ ΠΈΠ·ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈ Π² Ρ…ΠΎΠ΄Π° Π½Π° диагностичния процСс. ДнСс Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅Ρ‚ΠΎ Π½Π° Π½Π°ΡƒΠΊΠ°Ρ‚Π° допринСсС Π·Π° ΠΏΠΎ-Π·Π°Π΄ΡŠΠ»Π±ΠΎΡ‡Π΅Π½ΠΎ Ρ€Π°Π·Π±ΠΈΡ€Π°Π½Π΅ Π½Π° ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΈΡ‚Π΅ ΠΈ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΈΡ‚Π΅ Π·Π° ΠΎΠ±Ρ€Π°Π·ΡƒΠ²Π°Π½Π΅ Π½Π° камъни ΠΈ ΡΡŠΠΎΡ‚Π²Π΅Ρ‚Π½ΠΎ - Π·Π° ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠΎ-Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π½ΠΎ диагностициранС ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅. НСобходимо Π΅ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ΠΈΡ‡Π½ΠΎ Π΄Π° сС слСди здравословното ΡΡŠΡΡ‚ΠΎΡΠ½ΠΈΠ΅ Ρ‡Ρ€Π΅Π· Ρ€Π΅Π΄ΠΎΠ²Π½ΠΈ консултации с Π½Π΅Ρ„Ρ€ΠΎΠ»ΠΎΠ³ ΠΈΠ»ΠΈ ΡƒΡ€ΠΎΠ»ΠΎΠ³, ΠΊΠΎΠΉΡ‚ΠΎ Π΄Π° ΠΈΠ·Π²ΡŠΡ€ΡˆΠ²Π° Схографско изслСдванС.The risk of nephrolithiasis in developed countries is roughly 12% in men and 6% in women. Caucasians are more likely to form kidney stones than black people. The frequency of this pathology increases proportionally to the rising frequency of type II diabetes mellitus and obesity. The ratio of male to female sufferers is 1.3:1. The disease is mostly observed in individuals over the age of 20, while the pique is between 40 and 60 years. Nephrolithiasis is more commonly known as kidney stone disease and develops primarily in genetically predisposed patients, patients with metabolic disorders, and multiple comorbidities. Most stones are made up of calcium oxalate and uric acid, struvite (magnesium ammonium phosphate), cystine, ammonium urate. Recently there has been an increase in medicamentation-induced nephrolithiasis, observed in immobilized patients.The imaging diagnostics begins with abdominal ultrasonography - it can find a large percentage of all calculi, as well as parenchymal processes which could simulate a renal colic. Plain abdominal radiographs can demonstrate calcium-containing stones, and usually precedes venous urograms and other exams. Venous urograms provide insight into a calculus position, as well as regarding renal function. It is, however, associated with potential nephrotoxicity. Computed tomography can natively (without contrast material) demonstrate virtually all stones in every part of the excretory system.There are several conditions which mimic the symptoms of kidney stone disease, and must therefore be exlcuded along the diagnostic pathway. Currently, advanced understanding of the reasons and mechanisms of calculus formation have contributed to more effective diagnostic and treatment methods. Periodic consultations and ultrasonographies with a nephrologist or urologist are advisable

    Oracle Complexity Separation in Convex Optimization

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    Many convex optimization problems have structured objective function written as a sum of functions with different types of oracles (full gradient, coordinate derivative, stochastic gradient) and different evaluation complexity of these oracles. In the strongly convex case these functions also have different condition numbers, which eventually define the iteration complexity of first-order methods and the number of oracle calls required to achieve given accuracy. Motivated by the desire to call more expensive oracle less number of times, in this paper we consider minimization of a sum of two functions and propose a generic algorithmic framework to separate oracle complexities for each component in the sum. As a specific example, for the μ\mu-strongly convex problem min⁑x∈Rnh(x)+g(x)\min_{x\in \mathbb{R}^n} h(x) + g(x) with LhL_h-smooth function hh and LgL_g-smooth function gg, a special case of our algorithm requires, up to a logarithmic factor, O(Lh/μ)O(\sqrt{L_h/\mu}) first-order oracle calls for hh and O(Lg/μ)O(\sqrt{L_g/\mu}) first-order oracle calls for gg. Our general framework covers also the setting of strongly convex objectives, the setting when gg is given by coordinate derivative oracle, and the setting when gg has a finite-sum structure and is available through stochastic gradient oracle. In the latter two cases we obtain respectively accelerated random coordinate descent and accelerated variance reduction methods with oracle complexity separation
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