41 research outputs found

    Membrane techniques for removal detergents and petroleum products from carwash effluents: a review

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    One of the most significant urban services is the carwash, which generates large amounts of wastewater containing a variety of pollutants, including sand, gravel, suspended solids, surfactants, oil products, diesel cleaners, etc., that may cause environmental pollution when transferred to the sewage system without any treatment. The effective treatment is crucial to prevent environmental pollution as well as to recycle the water source. Contaminants are removed from carwash effluent using a variety of treatment technologies. This review focuses on identifying and comparing efficiency of using advanced commercial and modified membrane filtration techniques, meeting discharge standard regulations, to treat carwash impurities, especially detergents/surfactants (anionic surfactant) and petroleum products (oil/grease). The results of this review indicate that ultrafiltration membrane (UF) is the most common membrane filtration technology for carwash wastewater treatment. Additionally, the adoption of traditional pre-treatment processes may be advantageous before utilization of membrane process for treating carwash wastewater; although conventional treatment processes can produce a high quality of effluent, they are less effective than membrane systems

    STEAM-Education as Innovative Technology for Industry 4.0

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    The article is devoted to the development of STEAM-education design model, which is based on project training in the so-called β€œcreative spaces.” β€œCreative spaces” are integration platforms for schoolchildren, students and postgraduates working in the format of joint work on projects initiated by various structures of society and business. The relevance of the study is due to the fact that among the skills necessary for successful professional activity in the era of the digital industry, according to experts, the ability to artistic creativity takes a special place. The analysis of the experience of various countries in the implementation of STEM and STEAM-education is made and effective ways of structuring technical disciplines, art and creative activity in a single integration program are identified. The article presents the results of experimental work on determining the level of formation of such competencies as the ability to manage projects and processes, system thinking, the ability to artistic creativity, the ability to work with teams, groups and individuals, the ability to work in a mode of high uncertainty and rapid change of conditions of tasks. It is shown that the use of β€œcreative spaces” for the implementation of project activities of schoolchildren and students, the inclusion of the category β€œart” in its content allows students to form skills and competencies necessary for industry 4.0, that is, the proposed model can be considered as a universal tool for high-quality training of schoolchildren and students for professional activities in modern conditions

    The Harm of Alcohol to Human Health

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    Π£ΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠ΅ Π³ΠΎΡ€ΡΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π½Π°ΠΏΠΈΡ‚ΠΊΠΎΠ² Π½Π΅ΠΈΠ·Π±Π΅ΠΆΠ½ΠΎ наносит Π²Ρ€Π΅Π΄ чСловСчСскому Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡŽ, ΠΊΠ°ΠΊ Π² физичСском, Ρ‚Π°ΠΊ ΠΈ Π² психичСском ΠΏΠ»Π°Π½Π΅. Π—Π°Ρ‡Π°ΡΡ‚ΡƒΡŽ, Π·Π»ΠΎΡƒΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈΡ‚Π΅Π»ΠΈ Π½Π΅ ΠΎΡΠΎΠ·Π½Π°ΡŽΡ‚ ΠΌΠ°ΡΡˆΡ‚Π°Π± послСдствий своСй ΠΏΠ»ΠΎΡ…ΠΎΠΉ ΠΏΡ€ΠΈΠ²Ρ‹Ρ‡ΠΊΠΈ. Π§Π΅Π»ΠΎΠ²Π΅ΠΊ, ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π»ΡΡŽΡ‰ΠΈΠΉ алкоголь, Ρ€Π°Π·ΡŠΠ΅Π΄Π°Π΅Ρ‚ сСбя ΠΈΠ·Π½ΡƒΡ‚Ρ€ΠΈ, Ρ€Π°Π·ΡŠΠ΅Π΄Π°Π΅Ρ‚ всС Π²ΠΎΠΊΡ€ΡƒΠ³ сСбя, прСсСкаСт Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΈΠΌΠ΅Ρ‚ΡŒ Π·Π΄ΠΎΡ€ΠΎΠ²ΠΎΠ΅ ΠΈ Ρ€Π°Π·Π²ΠΈΡ‚ΠΎΠ΅ потомство.The use of strong drinks inevitably harms human health, both physically and mentally. Oftentimes, abusers are unaware of the magnitude of the consequences of their bad habit. A person who drinks alcohol eats away at himself from the inside, eats away at everything around him, prevents the possibility of having healthy and developed offspring

    A Mini-Review of Enhancing Ultrafiltration Membranes (Uf) for Wastewater Treatment: Performance and Stability

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    The scarcity of freshwater resources in many regions of the world has contributed to the emergence of various technologies for treating and recovering wastewater for reuse in industry, agriculture, and households. Deep wastewater treatment from oils and petroleum products is one of the difficult tasks that must be solved. Among the known technologies, UF membranes have found wide industrial application with high efficiency in removing various pollutants from wastewater. It is shown that the search for and development of highly efficient, durable, and resistant to oil pollution UF membranes for the treatment of oily wastewater is an urgent research task. The key parameters to improve the performance of UF membranes are by enhancing wettability (hydrophilicity) and the antifouling behavior of membranes. In this review, we highlight the using of ultrafiltration (UF) membranes primarily to treat oily wastewater. Various methods of polymer alterations of the UF membrane were studied to improve hydrophilicity, the ability of antifouling the membrane, and oil rejection, including polymer blending, membrane surface modification, and the mixed membrane matrix. The influence of the type and composition of the hydrophilic additives of nanoparticles (e.g., Multiwall carbon nanotubes (MWCNT), graphene oxide (GO), zinc oxide (ZnO), and titanium dioxide (TiO2 ), etc.) was investigated. The review further provides an insight into the removal efficiency percent. Β© 2021 by the authors. Licensee MDPI, Basel, Switzerland

    ВлияниС ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ†ΠΈΠΈ Π½Π° Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΡƒΡŽ ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ (ΠΏΡ€ΠΈΠΌΠ΅Ρ€ Ρ€Ρ‹Π½ΠΊΠ° ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΈ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ РСспублики Ватарстан)

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    Π”Π°Ρ‚Π° поступлСния 7 июня 2019 Π³.; Π΄Π°Ρ‚Π° принятия ΠΊ ΠΏΠ΅Ρ‡Π°Ρ‚ΠΈ 3 сСнтября 2019 Π³.Received June 7, 2019; accepted September 03, 2019.Regional food markets are important structural elements of the national market. Development of the market environment is one of the key methods of stimulating food production. As the agro-industrial policy changes its focus from import substitution towards export-oriented production, the role of competition in the agricultural sphere becomes particularly prominent. The authors propose a new indicator characterizing the level of concentration of producers on the market – the Herfindahl-Hirschman Index (HHI) for the share of gross profit of economic entities. This article is aimed at giving a theoretical justification of this approach and at providing practical recommendations for the development of regional food markets based on the regulation of food producer concentration levels. Multi-dimensional statistical calculations were used to test the hypothesis that the development of large economic entities (including monopolies) has a positive impact on the affordability and accessibility of locally produced foods. The authors measured the strength of the correlation between the socio-economic indicators that affect regional food security by using the case of the milk and dairy market in the Republic of Tatarstan. The proposed methodology is based on the decision matrix method applied to analyze the situation in local food markets, which gives us a better understanding of the situation in the whole region regarding the accessibility and affordability of foods. The correlation-regression analysis enabled us to integrate the indicators that show the impact of competition on affordability of foods with those that show the impact of producers’ efficiency on accessibility of foods in the region. The proposed approach considers profitability of economic entities, accessibility of foods and competition on the producer market and can thus be used to enhance food security by revealing the optimal priority areas for governmental policies and programs on the national, regional and local levels.Π Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ Ρ€Ρ‹Π½ΠΊΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π²Π°ΠΆΠ½Ρ‹ΠΌΠΈ структурными элСмСнтами Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ°. Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ срСды являСтся ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… способов стимулирования производства ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания. ΠŸΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ Π°Π³Ρ€ΠΎΠΏΡ€ΠΎΠΌΡ‹ΡˆΠ»Π΅Π½Π½Π°Ρ ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ° мСняСт фокус с импортозамСщСния Π½Π° экспортно-ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ΅ производство, Ρ€ΠΎΠ»ΡŒ ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ†ΠΈΠΈ Π² ΡΠ΅Π»ΡŒΡΠΊΠΎΡ…ΠΎΠ·ΡΠΉΡΡ‚Π²Π΅Π½Π½ΠΎΠΉ сфСрС становится особСнно Π·Π°ΠΌΠ΅Ρ‚Π½ΠΎΠΉ. Авторы ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‚ Π½ΠΎΠ²Ρ‹ΠΉ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΠΉ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ Π½Π° Ρ€Ρ‹Π½ΠΊΠ΅, – индСкс Π₯Срфиндаля-Π₯ΠΈΡ€ΡˆΠΌΠ°Π½Π° (HHI) для Π΄ΠΎΠ»ΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠΉ ΠΏΡ€ΠΈΠ±Ρ‹Π»ΠΈ Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ². ЦСль Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ – Π΄Π°Ρ‚ΡŒ тСорСтичСскоС обоснованиС этого ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΈ Π΄Π°Ρ‚ΡŒ практичСскиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½Ρ‹Ρ… Ρ€Ρ‹Π½ΠΊΠΎΠ² Π½Π° основС рСгулирования ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания. ΠœΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½Ρ‹Π΅ статистичСскиС расчСты использовались для ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ Π³ΠΈΠΏΠΎΡ‚Π΅Π·Ρ‹ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… экономичСских ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² (Π²ΠΊΠ»ΡŽΡ‡Π°Ρ ΠΌΠΎΠ½ΠΎΠΏΠΎΠ»ΠΈΠΈ) ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ влияниС Π½Π° Π΄ΠΎΡΡ‚ΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² мСстного производства. Авторы ΠΈΠ·ΠΌΠ΅Ρ€ΠΈΠ»ΠΈ ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒ коррСляции ΠΌΠ΅ΠΆΠ΄Ρƒ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСскими показатСлями, Π²Π»ΠΈΡΡŽΡ‰ΠΈΠΌΠΈ Π½Π° Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΡƒΡŽ ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ, Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Ρ‹Π½ΠΊΠ° ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΈ ΠΌΠΎΠ»ΠΎΠΊΠΎΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² Π² РСспубликС Ватарстан. ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠ°Ρ мСтодология основана Π½Π° ΠΌΠ΅Ρ‚ΠΎΠ΄Π΅ ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ, примСняСмом для Π°Π½Π°Π»ΠΈΠ·Π° ситуации Π½Π° мСстных ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½Ρ‹Ρ… Ρ€Ρ‹Π½ΠΊΠ°Ρ…, Ρ‡Ρ‚ΠΎ позволяСт Π½Π°ΠΌ Π»ΡƒΡ‡ΡˆΠ΅ ΠΏΠΎΠ½ΡΡ‚ΡŒ ΡΠΈΡ‚ΡƒΠ°Ρ†ΠΈΡŽ Π²ΠΎ всСм Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ доступности ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания. ΠšΠΎΡ€Ρ€Π΅Π»ΡΡ†ΠΈΠΎΠ½Π½ΠΎ-рСгрСссионный Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π½Π°ΠΌ ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΠΈΡ‚ΡŒ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ влияниС ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ†ΠΈΠΈ Π½Π° Π΄ΠΎΡΡ‚ΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания, с показатСлями, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ влияниС эффСктивности ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ Π½Π° Π΄ΠΎΡΡ‚ΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π΅. ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΡ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Π΅Ρ‚ ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², Π΄ΠΎΡΡ‚ΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания ΠΈ ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ†ΠΈΡŽ Π½Π° Ρ€Ρ‹Π½ΠΊΠ΅ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ ΠΈ, Ρ‚Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒΡΡ для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡŒΡΡ‚Π²Π΅Π½Π½ΠΎΠΉ бСзопасности ΠΏΡƒΡ‚Π΅ΠΌ выявлСния ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½Ρ‹Ρ… областСй государствСнной ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ ΠΈ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Π½Π° Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ, Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ ΠΈ мСстном уровнях

    Groundwater Hydrogeochemical and Quality Appraisal for Agriculture Irrigation in Greenbelt Area, Iraq

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    This study highlights the groundwater hydrogeochemical characteristics and processes (hydrochemistry characteristics, ion exchange, and salinization) and quality suitability assessment for irrigation purposes from five wells in the Greenbelt area located in northwestern Al‐Najaf Gov-ernorate, Iraq. The suitability of groundwater for irrigation was assessed based on the irrigation water quality index (IWQI) for thirteen parameters and groundwater quality indices such as total dissolved solids (TDS), electrical conductivity (EC), sodium adsorption ratio (SAR), soluble sodium percent (SSP), residual sodium carbonate (RSC), total hardness (TH), permeability index (PI), potential salinity (PS), Kelley’s ratio (KR), and magnesium hazard ratio (MHR). The IWQI’s average values ranged between 76–139. The results of IWQI for the first and second sampling sites showed values of 139 and 104, respectively, indicating that the groundwater was unsuitable and unsafe for irrigation. In contrast, the IWQI for the third, fourth, and fifth sites were 83, 97, and 76, respectively, indicating that the groundwater was safe and possibly used for irrigation. The EC, TDS, PS, and MHR indices were all found to be unsuitable for irrigation in all five sites, and the KR index was also found to be unsuitable for agricultural irrigation in about 80% of the sites, while it was found that the indices of SAR, SSP, RSC, PI, and TH for all sites were suitable and safe for irrigation. As a result of this study, it has been determined that groundwater in the study area is unsuitable for agricultural irrigation. For sustainable groundwater exploitation, it is advised that a continuous water‐quality‐monitoring program should be implemented, as well as the development of suitable management practices. Β© 2022 by the authors. Licensee MDPI, Basel, Switzerland

    ΠœΠžΠ”Π•Π›Π¬ ΠžΠ Π“ΠΠΠ˜Π—ΠΠ¦Π˜Π˜ РАННЕЙ Π”Π˜ΠΠ“ΠΠžΠ‘Π’Π˜ΠšΠ˜ РАКА ПОЧКИ

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    Β Challenges of early kidney cancer detection and screening significantly increase morbidity and mortality rates, thus dictating the need to improve prevention, early diagnosis and organization of medical care for the population of primorsky Krai. The aim of the study was to create a model for improving early diagnosis of kidney cancer in the primorsky Krai using the program for assessing the risk of kidney cancer (ARKC). The model included a population questionnaire to identify risk factors and algorithm of patient routing (Β«roadmapΒ») with suspected kidney cancer for in-depth examination and treatment. Material and Methods. 2982 residents of the primorsky Krai (women – 1950, men – 1032) in the age range 29–75 took part in the questionnaire survey using the ARKC program. Results. No risk factors were identified in 1879 (63.0 %) individuals. All patients at high risk for kidney cancer (656 – 22.0 %) and patients of the uncertainty group (447 – 15.0 %) were referred for physical and ultrasound examination to exclude kidney tumors. Non-tumor pathology of the kidneys was revealed in 156 (14.0 %) patients. Renal mass suspicious for renal cell carcinoma was revealed in 21 (1.9 %) patients (later confirmed in 17 patients with stage I–II cancer, in 3 patients with stage III, in 1 patient with stage IV). According to the results of the factor analysis, two main groups of factors had a predominant effect on the rise in the overall kidney cancer incidencer. The first group of factors (65.0 %) is caused by smoking, excessive alcohol consumption, overweight, unbalanced nutrition, and the influence of carcinogens. The second group of factors (35.0 %) is caused by problems of a medical and social nature: the low material and technical base of primary care medical organizations, the insufficient professional training of medical workers on the issues of cancer prevention and treatment, including kidney cancer.Conclusion. To improve the early detection of kidney cancer, a prognostic model with computer program for assessing the individual risk of developing kidney cancer was developed. population survey using the ARKC computer program allowed us to narrow the diagnostic search, form risk groups and effectively route patients with suspected kidney cancer for in-depth examination in accordance with the Β«road mapΒ».Β Β ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΠ° Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ скрининга Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ сущСствСнным ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ влияСт Π½Π° Π·Π°ΠΏΡƒΡ‰Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΎΡ‚ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, Ρ‡Ρ‚ΠΎ Π΄ΠΈΠΊΡ‚ΡƒΠ΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΠΈ насСлСнию ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края ΠΏΡ€ΠΈ злокачСствСнных новообразованиях (Π—ΠΠž) ΠΏΠΎΡ‡ΠΊΠΈ. ЦСлью исслСдования явилось созданиС ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ Π² ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠΌ ΠΊΡ€Π°Π΅ Π½Π° основС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈ внСдрСния Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ риска Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ – «ОРРП». Π­Ρ‚Π° модСль Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ (опрос) насСлСния Π½Π° выявлСниС Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска ΠΈ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² («дороТная ΠΊΠ°Ρ€Ρ‚Π°Β») с  ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Ρ€Π°ΠΊ ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования ΠΈ лСчСния.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ исслСдования Π±Ρ‹Π»ΠΎ насСлСниС ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ΅ «ОРРП», Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ приняли участиС 2982 ТитСля Π² возрастС ΠΎΡ‚ 29 Π΄ΠΎ 75 Π»Π΅Ρ‚ (ΠΆΠ΅Π½Ρ‰ΠΈΠ½ – 1950, ΠΌΡƒΠΆΡ‡ΠΈΠ½ – 1032). Π‘ Ρ†Π΅Π»ΡŒΡŽ поиска Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΏΠΎ сниТСнию уровнясмСртности ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΡ€ΠΈΡ‡ΠΈΠ½Β  роста онкологичСской заболСваСмости ΠΈ смСртности насСлСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края с использованиСм  мСдицинских ΠΊΠ°Ρ€Ρ‚ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² вСдомствСнных экспСртиз мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉ, ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ€Π°ΠΊΠΎΠ²Ρ‹Ρ… комиссий, ΠΊΠΎΠ»Π»Π΅Π³ΠΈΠΉ, Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹Ρ… совСщаний, ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ государствСнной ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ Β«Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ здравоохранСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края», «Плана мСроприятий ΠΏΠΎ сниТСнию смСртности насСлСния ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ, Π²Ρ‚ΠΎΠΌ числС злокачСствСнных». Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ опроса Ρƒ 1879 (63,0 %) Π»ΠΈΡ† Π½Π΅ выявлСно Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска, ΠΈΠΌ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ ΠΏΡ€ΠΎΠΉΡ‚ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΠΎΠ΅ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‡Π΅Ρ€Π΅Π· 3 Π³ΠΎΠ΄Π°. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ высокого риска (656 – 22,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ ΠΊ ΡƒΡ€ΠΎΠ»ΠΎΠ³Ρƒ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ нСопрСдСлСнности (447 – 15,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ Π½Π° осмотр участкового Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚Π°. ВсСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ Π³Ρ€ΡƒΠΏΠΏ нСопрСдСлСнности ΠΈ высокого риска Π½Π°Π·Π½Π°Ρ‡Π°Π»ΠΎΡΡŒ ΡƒΠ»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ΅ исслСдованиС для ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ новообразования ΠΏΠΎΡ‡Π΅ΠΊ. Π£ 156 (14,0 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² выявлСна нСопухолСвая патология ΠΏΠΎΡ‡Π΅ΠΊ, Ρƒ 21 (1,9 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ ΠΏΠΎΠ·ΠΆΠ΅ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€Π΄ΠΈΠ»ΠΎΡΡŒ (Ρƒ 17 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² I–II стадии, Ρƒ 3 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² – III стадии, Ρƒ 1 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – IV стадии). По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° Π°Π½ΠΊΠ΅Ρ‚ Π½Π° рост ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ заболСваСмости Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡Π΅ΠΊ ΠΎΠΊΠ°Π·Π°Π»ΠΈ прСимущСствСнноС влияниС Π΄Π²Π΅ основныС Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². ΠŸΠ΅Ρ€Π²Π°Ρ Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (65,0 %) обусловлСна ΠΊΡƒΡ€Π΅Π½ΠΈΠ΅ΠΌ,Β  Ρ‡Ρ€Π΅Π·ΠΌΠ΅Ρ€Π½Ρ‹ΠΌ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠ΅ΠΌ алкоголя, ΠΈΠ·Π±Ρ‹Ρ‚ΠΎΡ‡Π½ΠΎΠΉ массой  Ρ‚Π΅Π»Π°, нСсбалансированным ΠΏΠΈΡ‚Π°Π½ΠΈΠ΅ΠΌ, влияниСм  ΠΊΠ°Π½Ρ†Π΅Ρ€ΠΎΠ³Π΅Π½ΠΎΠ². Вторая Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (35,0 %) обусловлСна ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°: низкая ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎ-тСхничСская Π±Π°Π·Π° мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉΒ  ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π·Π²Π΅Π½Π°, нСдостаточная ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½Π°ΡΒ  ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° мСдицинских Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² ΠΏΠΎ вопросам  ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, своСврСмСнной диагностики ΠΈ лСчСния онкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π² Ρ‚ΠΎΠΌ числС Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Для осущСствлСния мСроприятий ΠΏΠΎ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡŽ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° прогностичСская модСль Π½Π° основС ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ для ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска развития Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρƒ насСлСния  ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. АнкСтированиС насСлСния с использованиСм ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ «ОРРП» ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа популяционного скрининга ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΡƒΠ·ΠΈΡ‚ΡŒ диагностичСский поиск, ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΠ³Ρ€ΡƒΠΏΠΏΡ‹ риска ΠΈ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΡƒΡŽ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования.

    Professional competences in STEM education

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    Β© 2020, Kassel University Press GmbH. The ongoing changes in the modern world - represented with nano-, bio-, info- and cognitive technological development - requires a certain skill set, mastering of which is necessary for any professional and above all - a STEM-specialist. Thus, alongside the technological advancement, leading global corporations seek to employ candidates exhibiting particular soft-skills, among which leadership and emotional intellect are in especially high demand. The purpose of the article is to formulate a comprehensive STEM portfolio, consisting of soft, emotional and leadership skills (SELS). Consequently, a new method of developing leadership skills in the STEM educational process is offered. As opposed to traditional methods of management, the new approach is based on the principle of emotional intellect, thus allowing to influence employees on a level that engages them personally, hence more effectively. The offered methodology is applicable in both educational and corporate spheres of professional STEM activity

    Professional competences in STEM education

    No full text
    The ongoing changes in the modern world - represented with nano-, bio-, info- and cognitive technological development - requires a certain skill set, mastering of which is necessary for any professional and above all - a STEM-specialist. Thus, alongside the technological advancement, leading global corporations seek to employ candidates exhibiting particular soft-skills, among which leadership and emotional intellect are in especially high demand. The purpose of the article is to formulate a comprehensive STEM portfolio, consisting of soft, emotional and leadership skills (SELS). Consequently, a new method of developing leadership skills in the STEM educational process is offered. As opposed to traditional methods of management, the new approach is based on the principle of emotional intellect, thus allowing to influence employees on a level that engages them personally, hence more effectively. The offered methodology is applicable in both educational and corporate spheres of professional STEM activity. Β© 2020, Kassel University Press GmbH

    Studying abrasive wear of materials for direct and indirect restorations with increased dental abrasion

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    Strength characteristics of restoration materials, namely their resistance to abrasive wear, are of great importance in choosing a treatment method for increased dental abrasion. The purpose of this study was to research the abrasive wear of materials for direct and indirect dental restorations in patients with increased dental abrasion by measuring areas of the teeth occlusion using computer occlusiograms. Patients who underwent direct restorations with nanocomposite and indirect restorations with lithium disilicate ceramic restorations as a treatment for increased dental abrasion were underwent occlusiography by using TScan III (Tekscan, USA) 1 month and 24 months after the treatment was completed, to measure the area of teeth occlusion in the IP position (a multi-point occlusal contact position). The degree of dental abrasion of restoration materials provided judging on changing the area of occlusal contacts in the same patient over time and in compared with the area of occlusal contacts in the control group. The results of the study shown that the resistance to abrasive wear of ceramic restorations is in consistent with a tooth enamel, and nanocomposite materials, despite their durability, are prone to abrasion as well. Therefore, indirect ceramic restorations should be in preference in treatment of increased dental abrasion, in which an increased occlusive load is one of the clinical manifestations
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