Tecnologias e dispositivos de microondas que separam a pele da pele de coelho

The purpose of this work is the development of microwave technology and de-vices separating fur from rabbit skins in a continuous mode at reduced operating costs. They developed the method for the action of the ultrahigh frequency electro-magnetic field (UFEF), which provides the reduction of fur fiber holding power in the meat fabric of rabbit skins with simultaneous combing and gathering. They calcu-lated the mathematical dependences describing the dynamics of multicomponent raw material heating with the change of dielectric and physicomechanical parameters in the process of UFEF. They calculated and visualized the electromagnetic field distri-butions in the developed resonators, on the basis of which they substantiated the ef-fective parameters of the electrodynamic system: the maximum property, the quality of resonators and the electric field strength. They substantiated the complex of struc-tural and technological parameters of devices with new structural design of working chambers by a multi-criteria evaluation of the technological process for the separation of fur from rabbit skin. They manufactured and tested the microwave device under production conditions for the separation of fur from rabbit skin, and adjusted the op-erating modes, which allow to reduce operating costs. They evaluated the technical and economic efficiency of microwave technology introduction for the processing of fur and the devices for rabbit farms; they developed practical recommendations for the operation of microwave units to separate fur from rabbit skins.El propósito de este trabajo es el desarrollo de la tecnología de microondas y los dispositivos que separan la piel de los cueros de conejo en un modo continuo a costos operativos reducidos. Desarrollaron el método para la acción del campo electromagnético de frecuencia ultraalta (UFEF), que proporciona la reducción del poder de retención de la fibra de la piel en el tejido de carne de la piel de conejo con el peinado y la recolección simultáneos. Calcularon las dependencias matemáticas que describen la dinámica del calentamiento de materias primas de componentes múltiples con el cambio de los parámetros dieléctricos y fisicomecánicos en el proceso de la UFEF. Calcularon y visualizaron las distribuciones del campo electromagnético en los resonadores desarrollados, sobre la base de los cuales fundamentaron los parámetros efectivos del sistema electrodinámico: la propiedad máxima, la calidad de los resonadores y la intensidad del campo eléctrico. Ellos sustentaron el complejo de parámetros estructurales y tecnológicos de los dispositivos con un nuevo diseño estructural de las cámaras de trabajo mediante una evaluación de múltiples criterios del proceso tecnológico para la separación de la piel del cuero del conejo.  Fabricaron y probaron el dispositivo de microondas en condiciones de producción para la separación de la piel de la piel de conejo, y ajustaron los modos de operación, lo que permite reducir los costos operativos. Evaluaron la eficiencia técnica y económica de la introducción de la tecnología de microondas para el procesamiento de pieles y los dispositivos para granjas de conejos; desarrollaron recomendaciones prácticas para el uncionamiento de las unidades de microondas para separar las pieles de los cueros de conejo.O objetivo deste trabalho é o desenvolvimento de tecnologia e dispositivos que separam a pele de peles de coelho em um modo contínuo a custos operacionais reduzidos microondas. Eles desenvolveram o método para a acção do campo electromagnético de alta frequência ultra-(UFEF), que fornece pele de coelho carne tecido de pele para retenção de fibras de energia reduzido com cabelo e recolha simultânea. Calcularam as dependências matemático para descrever a dinâmica do aquecimento materiais multicomponentes com a mudança de dieltricos e parâmetros fisicomecánicos no processo de UFEF. Eles calculado e visualizado as distribuições de campo eletromagnético em ressonadores desenvolvidos, com base na qual fundamentar os parâmetros reais do sistema electrodynamic: a propriedade máximo, a qualidade dos ressonadores e intensidade do campo elétrico. Eles sustentadas parâmetros estruturais e tecnológicas complexas dos dispositivos com um novo design estrutural das câmaras de trabalho através de uma avaliação multi-critérios do processo tecnológico para a separação de couro pele de coelho. Eles fabricado e testado o dispositivo de micro-ondas, sob condições de produção para a separação da pele da pele de coelho, e modos de operação ajustados, reduzindo assim os custos operacionais. Eles avaliaram a eficiência técnica e econômica da introdução de tecnologia de microondas para o processamento de dispositivos fazendas de peles e de coelho; desenvolveu recomendações práticas para a operação de unidades de microondas para separar peles de peles de coelho

Modelos matemáticos e computadorizados da mudança dos parâmetros da camada de grão durante o movimento do grão através da zona de microondas e convecção

In the process of drying the grain in a dense layer in motion, the grain moves through the grain dryer. The movement of the grain layers is usually uneven. In addition, it is likely that the temperature and consumption of the desiccant agent will not remain the same throughout the height of the drying zone. The specific power of the microwave field in the drying zone can also alter. All these factors affect the speed and uniformity of drying of the grain layer throughout the drying zone.In the first stage, an analysis of the theoretical studies on the subject was carried out. It was determined that to date there has not been presented any work in which mathemati-cal models of heat and humidity exchange in a dense layer of grain in motion with con-sideration of the relative vertical movement of the layers. Therefore, it is necessary to develop such a mathematical model.As an initial configuration for the development of a mathematical description of the drying process, it was deemed appropriate to use the configuration of the microwave and convection zone developed by the authors.The equal probability of combination of parameters of the desiccant agent temperature, its relative humidity, the velocity and distance from the caryopsis to the waveguide was assumed. From this point, we developed a computerized microwave and convection drying model that takes into account this type of change in the parameters.The results of the grain drying simulation demonstrated the efficiency of the computer model obtained, reflecting the influence of fluctuations in grain parameters and the microwave field in the drying process.To evaluate the accuracy of the obtained model, it is necessary to carry out experimental studies.En el proceso de secado del grano en una capa densa en movimiento, el grano se mueve en la secadora de grano. El movimiento de las capas de grano suele ser desigual. Además, es probable que la temperatura y el consumo del agente desecante no permanezcan iguales a lo largo de la altura de la zona de secado. La potencia específica del campo de microondas en la zona de secado también puede alterar. Todos estos factores afectan la velocidad y la uniformidad de secado de la capa de grano en toda la zona de secado.En la primera etapa, llevamos a cabo un análisis de los estudios teóricos sobre el tema. Hemos modelos matemáticos de intercambio de calor y humedad en una capa de grano densa en movimiento con consideración del movimiento vertical relativo de las capas. Por lo tanto, es necesario desarrollar tal modelo matemático.Como configuración inicial para el desarrollo de una descripción matemática del proceso de secado, consideramos conveniente utilizar la configuración de la zona de microondas y convección desarrollada por los autores.Se supuso la probabilidad igual de combinación de parámetros de la temperatura del agente desecante, su humedad relativa, la velocidad y la distancia de la cariopse a la guía de ondas. A partir de ello, desarrollamos un modelo computarizado de secado por microondas y convección que toma en consideración este tipo de cambio en los parámetros.Los resultados de la simulación de secado de grano demostraron la aptitud del modelo computarizado obtenido, reflejando la influencia de las fluctuaciones en los parámetros de grano y el campo de microondas en el proceso de secado.Para evaluar la precisión del modelo obtenido, es necesario realizar estudios experimentales.No processo de secagem do grão em uma camada densa em movimento, o grão se move no secador de grãos. O movimento das camadas de grãos é geralmente irregular. Além disso, é provável que a temperatura e o consumo do agente de secagem não permaneçam os mesmos ao longo da altura da zona de secagem. A potência específica do campo de microondas na zona de secagem também pode ser alterada. Todos esses fatores afetam a velocidade e a uniformidade de secagem da camada de grãos em toda a zona de secagem.Na primeira etapa, realizamos uma análise dos estudos teóricos sobre o assunto. Determinamos que até hoje não houve trabalhos em que modelos matemáticos de troca de calor e umidade em uma camada de grão denso em movimento são contemplados considerando o movimento vertical relativo das camadas. Portanto, é necessário desenvolver um modelo matemático desse tipo.Como configuração inicial para o desenvolvimento de uma descrição matemática do processo de secagem, consideramos conveniente utilizar a configuração da zona de microondas e convecção desenvolvida pelos autores.A probabilidade igual de combinação de parâmetros de temperatura do agente dessecante, sua umidade relativa, a velocidade e a distância entre o cariopse e o guia de ondas foi assumida. A partir disso, desenvolvemos um modelo computadorizado de secagem por microconvecção e convecção que leva em conta esse tipo de mudança nos parâmetros.Os resultados da simulação de secagem de grãos demonstraram a adequação do modelo computacional obtido, refletindo a influência das flutuações nos parâmetros de grãos e do campo de microondas no processo de secagem.Para avaliar a precisão do modelo obtido, é necessário realizar estudos experimentais

State Priorities in the Petrochemistry of Russia: Sustainable Development, “Green” Industry and Energy Efficiency

This research aims at diagnosing such priority areas for the development of petrochemicals in Russia as sustainable development and energy efficiency, at identifying trends and forecasting the development of the industry, taking into account the greening of the industry. Achieving the goal is based on the use of methods such as graphical, comparative, economic and mathematical (neural network modeling, correlation regression analysis), and prognostic. The article contains an assessment of the achievement of the Sustainable Development Goals focused on energy saving and environmental protection; forecasting the level of greenhouse gas emissions in Russia based on the construction of a neural network and a regression model; comparative analysis of the rates of transition to sustainable development of chemical production and production of coke and petroleum products in the Russian economy. The scientific results of the research are a neural network model trained on the indicators of sustainable and energy efficient development of the Russian economy, on the basis of which the relationship between the level of greenhouse gas emissions, the energy intensity of GDP and the share of electricity from renewable energy sources is formalized; a predictive model that made it possible to calculate future values of greenhouse gas emissions depending on the target values of predictive variables; features of the greening of petrochemical industries in Russia.Keywords: petrochemical industry, state priorities, sustainable development, green industry, energy efficiency, Russia.JEL Classifications: О14, D24, С41DOI: https://doi.org/10.32479/ijeep.11364</p

A global look at time: a 24-country study of the equivalence of the Zimbardo Time Perspective Inventory

In this article, we assess the structural equivalence of the Zimbardo Time Perspective Inventory (ZTPI) across 26 samples from 24 countries (N = 12,200). The ZTPI is proven to be a valid and reliable index of individual differences in time perspective across five temporal categories: Past Negative, Past Positive, Present Fatalistic, Present Hedonistic, and Future. We obtained evidence for invariance of 36 items (out of 56) and also the five-factor structure of ZTPI across 23 countries. The short ZTPI scales are reliable for country-level analysis, whereas we recommend the use of the full scales for individual-level analysis. The short version of ZTPI will further promote integration of research in the time perspective domain in relation to many different psycho-social processes

Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial

Background: Glucagon-like peptide 1 receptor agonists differ in chemical structure, duration of action, and in their effects on clinical outcomes. The cardiovascular effects of once-weekly albiglutide in type 2 diabetes are unknown. We aimed to determine the safety and efficacy of albiglutide in preventing cardiovascular death, myocardial infarction, or stroke. Methods: We did a double-blind, randomised, placebo-controlled trial in 610 sites across 28 countries. We randomly assigned patients aged 40 years and older with type 2 diabetes and cardiovascular disease (at a 1:1 ratio) to groups that either received a subcutaneous injection of albiglutide (30–50 mg, based on glycaemic response and tolerability) or of a matched volume of placebo once a week, in addition to their standard care. Investigators used an interactive voice or web response system to obtain treatment assignment, and patients and all study investigators were masked to their treatment allocation. We hypothesised that albiglutide would be non-inferior to placebo for the primary outcome of the first occurrence of cardiovascular death, myocardial infarction, or stroke, which was assessed in the intention-to-treat population. If non-inferiority was confirmed by an upper limit of the 95% CI for a hazard ratio of less than 1·30, closed testing for superiority was prespecified. This study is registered with ClinicalTrials.gov, number NCT02465515. Findings: Patients were screened between July 1, 2015, and Nov 24, 2016. 10 793 patients were screened and 9463 participants were enrolled and randomly assigned to groups: 4731 patients were assigned to receive albiglutide and 4732 patients to receive placebo. On Nov 8, 2017, it was determined that 611 primary endpoints and a median follow-up of at least 1·5 years had accrued, and participants returned for a final visit and discontinuation from study treatment; the last patient visit was on March 12, 2018. These 9463 patients, the intention-to-treat population, were evaluated for a median duration of 1·6 years and were assessed for the primary outcome. The primary composite outcome occurred in 338 (7%) of 4731 patients at an incidence rate of 4·6 events per 100 person-years in the albiglutide group and in 428 (9%) of 4732 patients at an incidence rate of 5·9 events per 100 person-years in the placebo group (hazard ratio 0·78, 95% CI 0·68–0·90), which indicated that albiglutide was superior to placebo (p&lt;0·0001 for non-inferiority; p=0·0006 for superiority). The incidence of acute pancreatitis (ten patients in the albiglutide group and seven patients in the placebo group), pancreatic cancer (six patients in the albiglutide group and five patients in the placebo group), medullary thyroid carcinoma (zero patients in both groups), and other serious adverse events did not differ between the two groups. There were three (&lt;1%) deaths in the placebo group that were assessed by investigators, who were masked to study drug assignment, to be treatment-related and two (&lt;1%) deaths in the albiglutide group. Interpretation: In patients with type 2 diabetes and cardiovascular disease, albiglutide was superior to placebo with respect to major adverse cardiovascular events. Evidence-based glucagon-like peptide 1 receptor agonists should therefore be considered as part of a comprehensive strategy to reduce the risk of cardiovascular events in patients with type 2 diabetes. Funding: GlaxoSmithKline

Forecasting the Efficiency of Innovative Industrial Systems Based on Neural Networks

Approaches presented today in the scientific literature suggest that there are no methodological solutions based on the training of artificial neural networks to predict the direction of industrial development, taking into account a set of factors&mdash;innovation, environmental friendliness, modernization and production growth. The aim of the study is to develop a predictive model of performance management of innovative industrial systems by building neural networks. The research methods were correlation analysis, training of neural networks (species&mdash;regression), extrapolation, and exponential smoothing. As a result of the research, the estimation efficiency technique of an innovative industrial system in a complex considering the criteria of technical modernization, development, innovative activity, and ecologization is developed; the prognostic neural network models allow to optimize the contribution of signs to the formation of target (set) values of indicators of efficiency for macro and micro-industrial systems that will allow to level a growth trajectory of industrial systems; the priority directions of their development are offered. The following conclusions: the efficiency of industrial systems is determined by the volume of sales of goods, innovative products and waste recycling, which allows to save resources; the results of forecasting depend significantly on the DataSet formulated. Although multilayer neural networks independently select important features, it is advisable to conduct a correlation analysis beforehand, which will provide a higher probability of building a high-quality predictive model. The novelty of the research lies in the development and testing of a unique methodology to assess the effectiveness of industrial systems: it is based on a multidimensional system approach (takes into account factors of innovation, environmental friendliness, modernization and production growth); it combines a number of methodological tools (correlation, ranking and weighting); it expands the method of effectiveness assessment in terms of the composition of variables (previously presented approaches are limited to the aspects considered)

Innovative Mesosystems Algorithm for Sustainable Development Priority Areas Identification in Industry Based on Decision Trees Construction

Globally, assessing sustainable development methodology is kept in sustainable society index (SSI) format, but at the level of meso- and microsystems it remains undeveloped. The aim of the study is to typologize innovative mesosystems in Russian industry in the context of sustainable development based on the CART algorithm and to develop an algorithm for identifying priority areas of sustainable development. The research methods applied included formalization, a systematic approach, and the CART algorithm (calculation of the Gini index, training sample segmentation, the use of a recursive function and regression assessment). As a result of the study, the algorithm for the differentiated identification of innovative mesosystems sustainable development priority directions in industry based on the unique author’s methodology (ISDI) is proposed. The predominance of mesosystems with weak level of sustainable development requiring state support in favor of such mesosystems restructure is revealed. The novelty of the research lies in the development of new science-based solutions to ensure an accelerated transition of industry to the path of sustainable development. The difference of the author’s approach from the provisions known in science is the inclusion of environmental innovations in the mechanism for managing the sustainable development of innovative mesosystems and subsequent accounting in the process of mathematical processing of an array of data, which determines the uniqueness of the constructed decision trees

Innovative Mesosystems Algorithm for Sustainable Development Priority Areas Identification in Industry Based on Decision Trees Construction

Globally, assessing sustainable development methodology is kept in sustainable society index (SSI) format, but at the level of meso- and microsystems it remains undeveloped. The aim of the study is to typologize innovative mesosystems in Russian industry in the context of sustainable development based on the CART algorithm and to develop an algorithm for identifying priority areas of sustainable development. The research methods applied included formalization, a systematic approach, and the CART algorithm (calculation of the Gini index, training sample segmentation, the use of a recursive function and regression assessment). As a result of the study, the algorithm for the differentiated identification of innovative mesosystems sustainable development priority directions in industry based on the unique author&rsquo;s methodology (ISDI) is proposed. The predominance of mesosystems with weak level of sustainable development requiring state support in favor of such mesosystems restructure is revealed. The novelty of the research lies in the development of new science-based solutions to ensure an accelerated transition of industry to the path of sustainable development. The difference of the author&rsquo;s approach from the provisions known in science is the inclusion of environmental innovations in the mechanism for managing the sustainable development of innovative mesosystems and subsequent accounting in the process of mathematical processing of an array of data, which determines the uniqueness of the constructed decision trees