bluuebunny/crossref_metadata_2025 huggingface dataset:
A Passive Magnetoelastic Radiation Sensor
Authors: Lamberti Vincent , Mee David , Angelo Peter , Preston Jeffrey
Published: November 2019

A passive gamma detection technology, consisting of a fielded sensor and a separate analysis system, is described. The sensor is a small cylinder, about 2.5 mm in diameter and 15 mm in length. It requires no onboard power sources or physical connections for power or data transfer, and retains its cumulative response to radiation. The sensor consists of an amorphous magnetoelastic wire held in a longitudinally-stressed state by a radiation-sensitive material. When the radiation-sensitive material is subjected to gamma radiation, it mechanically degrades, relaxing the stress on the wire and lowering the wire’s magnetic permeability. The changes in permeability are observed by switching the magnetic domains in the wire and measuring the reduction in the Faraday voltage as the stress is diminished. The analysis package is built around an excitation-detection coil set and can communicate wirelessly with the sensor through a metallic or nonmetallic barrier at distances up to about 25 mm. The sensor response is linear up to a dose of at least 7 kGy.
Mechanochromic Fluorescent Polymers with Aggregation-Induced Emission Features
Authors: Pucci Andrea
Published: November 2019

Mechanochromic polymers are defined as materials that are able to detect a mechanical stress through an optical output. This feature has evoked a growing interest in the last decades, thanks to the progress of chromogenic molecules whose optical characteristics and chemical functionalities allow their effective insertion in many thermoplastic and thermoset matrices. Among the different types of fluorogenic probes able to detect mechanical solicitations, those with aggregation-induced emission (i.e., AIEgens) have attracted tremendous interest since their discovery in 2001. In the present review, the main principles behind the AIEgens working behavior are introduced along with the current state of knowledge concerning the design and preparation of the derived mechanochromic fluorescent polymers. Examples are provided concerning the most ingenious solution for the preparation of chromogenic materials, starting from different types of commodity plastics or synthetic polymers and combined with the latest AIE technology to provide the most sensitive response to mechanical stress.
Optical Polarimetric Detection for Dental Hard Tissue Diseases Characterization
Authors: Hsiao Tien-Yu , Lee Shyh-Yuan , Sun Chia-Wei
Published: November 2019

Dental enamel constitutes the outer layer of a crown of teeth and grows nearly parallel. This unique nanostructure makes enamel possess birefringence properties. Currently, there is still no appropriate clinical solution to examine dental hard tissue diseases. Therefore, we developed an optical polarization imaging system for diagnosing dental calculus, caries, and cracked tooth syndrome. By obtaining Stokes signals reflected from samples, Mueller images were constructed and analyzed using Lu-Chipman decomposition. The results showed that diattenuation and linear retardance images can distinguish abnormal tissues. Our result also aligns with previous studies assessed by other methods. Polarimetric imaging is promising for real-time diagnosing.
Power Laws and Elementary Particle Decays
Authors: Chiatti Leonardo
Published: November 2019

This study analyzes the correlation between the lifetime and the rest energy of the unstable particle states with a lifetime greater than the zeptosecond (10−21 s), using data available from the Particle Data Group. This set of states seems to be divided into three groups, in each of which the two quantities can be correlated through a remarkably accurate power law. Although this fact does not represent anything new compared to the predictions of the Standard Model, it nevertheless reveals an unexpected order structure in the set of particle decays, emerging from such predictions.
Mental Health Symptoms Related to Body Shape Idealization in Female Fitness Physique Athletes
Authors: Mathisen Therese Fostervold , Sundgot-Borgen Jorunn
Published: November 2019

Physical activity relates to optimal health, still the prevalence of mental health issues is high among athletes. Being young, female, and competing in aesthetic sports is a high-risk combination for mental health symptoms. Fitness physique athletes (FA) match this profile but are understudied. We aimed to study the intensity of mental health symptoms (i.e., body image, eating behaviour, relation to and routines for exercise, and perfectionism) in FA and in female references (FR), and to evaluate how preparing for fitness sport competitions affects these mental health symptoms. Before competition, FA had higher levels of drive for leanness (DFL) and eating restraint compared to FR. At the time of competition, eating restraint increased in FA only, concurrent with a reduction in symptoms of disordered eating. The levels of DFL, drive for muscularity, eating restraint, and exercising for figure toning were higher in FA compared to FR. At one-month post-competition, the differences between groups from competition time remained. Generally, perfectionism correlated with eating restrictions in FA and with disordered eating in FR. Overall, FA coped with the dieting, but self-control deteriorated post-competition with higher levels of disordered eating and an increased body shape concern. High DFL generally associated with more disordered eating behaviour, specifically in FR.
A Study on Memory Sites Perception in Primary School for Promoting the Urban Sustainability Education: A Learning Module in Calabria (Southern Italy)
Authors: Bernardo Marcello , De Pascale Francesco
Published: November 2019

This paper constitutes a study on representations of Risorgimento sites of memory in Calabria (southern Italy), analyzing the development of the perceptive skills of primary school children through a learning module. The initial hypothesis wants to demonstrate that some factors identified by the geographer Antoine Bailly influence the perception of children in relation to the single research topics that concern: The possibility to reach and to easily access memory sites and any barriers or difficulties encountered; the aesthetic and functional judgment and the most popular aspects of the sites of memory; the orientation skills during the journey from the school to the site of memory; the elaboration of a mental map. The learning module titled “The mental representation of the sites of memory of the Risorgimento” was carried out in the primary schools of three provincial capitals of Calabria (southern Italy): Catanzaro, Cosenza, and Crotone. Children in the direct and indirect observation of the geo-historic pathway of the Risorgimento sites of memory in Calabria show that they fit well in the role of young geographers and investigators of the surrounding reality. Finally, this contribution aims to highlight the important relationship between the geography of perception and education for sustainability in schools starting from the sustainable development goals (SDGs).
Erratum: Fox, S. Irresponsible Research and Innovation? Applying Findings from Neuroscience to the Analysis of Unsustainable Hype Cycles. Sustainability 2018, 10, 3472
Authors: Fox Stephen
Published: November 2019

The author would like to make the corrections listed below to the published paper [...]
La imagen de candelero
Authors: González López María José , Prado Campos Beatriz , Domínguez Gómez Benjamín , Sanabria Fernández Juan Salvador
Published: November 2019

El principal objetivo de este recurso es dar a conocer al alumnado universitario, y de forma extensiva al público en general, qué es y cómo está construida una imagen de candelero. Para ello, nos apoyamos en un recurso novedoso como es la navegación sobre dos modelos 3D de la citada escultura (imagen vestida y desvestida), que permite al usuario visionar la imagen de manera virtual sin necesidad de tener que desplazarla ni manipularla. El modelo nos permite, además, visionar la obra desde todos sus ángulos, encontrando información detallada de cada uno de los elementos que conforman la imagen de vestir ya sean constructivos, ornamentales, polícromos, vestimentas, postizos o complementos.

El recurso incluye, además de los modelos 3d de la Inmaculada Concepción de la Parroquia de Ntra. Sra. de la Granada de Guillena, una web explicativa con más información.
Music Cryptography based on Carnatic Music
Authors:   M Tech. in Computer Science - Information Security National Institute of Technology Karnataka, Surathkal, India, Rao* Deepthi , Koolagudi Shashidhar ,   Assistant Professor, Department of Computer Science and Engineering,National Institute of Technology Karnataka, Surathkal, India
Published: November 2019

Music and cryptography have been linked to one another since ancient times. The idea of replacing plaintext letters with music notes and sending the music file to receiver, is not new. But such replacements sometimes result in music clips which are not pleasant to listeners and thereby leading to the music clip gaining unnecessary extra attention. Most of the works done in this area, fail to ensure the generation of a music clip that invariably conforms to any particular form of music. Melody of the music clip is neglected. In order to address this issue, current paper proposes a novel approach for sharing a secret message based on concepts of Carnatic Classical Music. The method proposed here aims at converting a message in textual format to a music clip before sending it to the receiver. Receiver can then decrypt that message using the knowledge of range of frequency values associated with each musical note also called as 'swara' in Carnatic Classical Music. Each plaintext character from English alphabet is replaced by different combinations of swaras. The set of swaras mapped to each plaintext character is so chosen that the final music file produced as the output of encryption always conforms to a melodic form ('Raga') governed by the framework of Carnatic Classical Music. Ten subject matter experts in the field of Carnatic music have given their opinion about the conformance of these music clips to specified ragas. Also, Mean Opinion Score (MOS) of 25 listeners has been tabulated to test and verify the melodic aspect of these music clips.
Design o f a Fault Tolerant Strategy f or Resource Scheduling i n Cloud Environment
Authors:   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., P* Keerthika , P Suresh ,   Information Technology, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., R Manjula Devi ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., M Sangeetha ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., C Sagana ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India.
Published: November 2019

Cloud computing supports the technological need of the industry supporting many other technologies. Also, the demand for computing power and storage by recent technologies is reasonably growing in a drastic way. Cloud computing, serving for these technologies are to be developed with advancements that lead to performance improvement both in support to the technologies like block-chain and big data. The allocation of cloud resources is an important strategy to be followed in a wiser manner to incorporate the needs of extra ordinary computing power. In this paper, an efficient resource allocation strategy (FTVMA) is introduced that involves the creation of effective virtual machines (VMs) and performs VM allocation in an efficient manner by considering the failure rates, previous history of failure of VM, execution efficiency as a part of effective scheduling. There exist many reasons for cloudlet failure in VMs. Some of them are overloading of VMs and non-availability of VMs. The introduced FTVMA algorithm considers the failure rate of the physical machine, load of virtual machines and the cost priority of the tasks in order to achieve Quality of Service (QoS) and Quality of Experience (QoE) of the user. The FTVMA methodology proposed in this paper works better for computation intensive VMs and is tested using CloudSim environment. The QoS metrics used to measure the performance of the proposed algorithm are Makespan and VM Utilization. The metric to measure QoE are Priority Miss Rate and Failure Rate. The proposed algorithm shows its improvement in terms of the QoS and QoE metrics. The results obtained are compared with the existing resource scheduling algorithms and it is inferred that the proposed algorithm performs better in terms of QoS and QoE.
C-Dump Converter Design and its Dynamic Analysis in Simulink Environment for a Switch Reluctance Machine
Authors:   Istanbul Üniversitesi-Cerrahpaşa , Department of Electric-Electronic Engineering, 34850-Avcılar, Istanbul, Turkey, ÇALIK* Hüseyin , Undil S. Hakan ,   Nisantasi University, Faculty of Engineering And Architecture, Department of Electric-Electronic Engineering, Istanbul, Turkey, ÇELİK H. Hüseyin ,   Marmara University, Faculty Of Technology, Department of Electric-Electronic Engineering, Istanbul, Turkey
Published: November 2019

It is an analysis of asymmetric converters used to drive switched-reluctance motors (SRM). Usually, two switches per phase exist in these converters, therefore the cost of converter rises up. The energy recovery chopper in a capacitor-dump (C-dump) SRM drive which needs one more additional switch than the number of phases is analyzed, designed and discussed. The converter allows continuous output current operation. The dynamic behavior of the chopper shows that it operates as a boost DC-to-DC converter in a regenerative mode. In this study, A 6/4 SRM for both no motor phase current control applied and controlled at 8A phase current (C.C.), the characteristics of C-dump converter voltage (Vc), current (ig) and phase voltages applied to the motor windings are examined in Matlab-Simulink environment.
Investment, Returns, and Risk of Building Information Modeling (BIM) Implementation in Indonesia’s Construction Project
Authors:   Master Program of Civil Engineering, Mercu Buana University, Jakarta, Indonesia, Yanda* Gefri , Amin Mawardi ,   Researcher and Lecturer of Civil Engineering, Mercu Buana University, Jakarta, Indonesia., Soehari Tjiptogoro Dinarjo ,   Researcher and Lecturer of Civil Engineering, Mercu Buana University, Jakarta, Indonesia.
Published: November 2019

In the current development of the construction world, many efforts have been made to improve the quality and quantity of work, both structurally and in construction management. At least the efforts made are efforts to improve and achieve better work results. Technology development is needed, including in the construction world where one form of technology developed in the construction world is BIM (Building Information Modeling). For practitioners who adopt BIM or plan to invest in BIM in their future projects, there is a need to understand BIM's top investment priorities, risks associated after they start using BIM, and ways to increase BIM returns because this problem will influence decision making BIM investment. To overcome this, it is necessary to examine the main priorities of investment in adopting BIM, ways to increase returns on BIM applications, and risks in implementing BIM in developing countries, especially for actors who provide construction services. This study uses the Relative Important Index (RII) statistics to provide advice on how to improve and use BIM for industry professionals MEA or interests interested in investing in BIM or planning to use BIM in their projects.
Deep Learning based Integrated Stacked Model for the Stock Market Prediction
Authors:   Computer Science, Government General Degree College, Singur, India., Bhanja Samit , Das* Abhishek ,   Computer Science & Engineering, Aliah University, Newtown, Kolkata, India.
Published: November 2019

Recently, the stock market prediction has become one of the essential application areas of time-series forecasting research. The successful prediction of the stock market can be better guided to the investors to maximize their profit and to minimize the risk of investment. The stock market data are very much complex, non-linear and dynamic. Due to this reason, still, it is a challenging task. In recent time, deep learning method has become one of the most popular machine learning methods for time-series forecasting due to their temporal feature extraction capabilities. In this paper, we have proposed a novel Deep Learning-based Integrated Stacked Model (DISM) that integrates both the 1D Convolution neural network and LSTM recurrent neural network to find the spatial and temporal features from the stock market data. Our proposed DISM is applied to forecast the stock market. Here, we have also compared our proposed DISM with the single structured stacked LSTM, and 1D Convolution neural network models, and some other statistical models. We have observed that our proposed DISM produces better results in terms of accuracy and stability.
Environmental Performances and Biological Toxicity of Snowpack Water
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Kozlov* Andrey Vladimirovich , Vershinina Irina Valeryevna ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Volkova Aleksandra Viktorovna ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Uromova Irina Pavlovna ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Novik Irina Rafailovna ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Zhadaev Artyom Yurievich ,   Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Nizhny Novgorod region, Russia., Avdeev Yuri Mikhailovich ,   Vologda State University, Vologda, Russia.
Published: November 2019

This work analyzes the state of snowpack in Nizhny Novgorod on the basis of certain chemical performances and integral biological toxicity. Snow samples were obtained in February 2018 along major highways of Nizhny Novgorod. A snow-covered area in Dubrava forestry was selected as reference. The studies demonstrated that the snowpack was characterized by very high concentrations of chlorides and sulfides: in sampling points of the Lower City, the content of chlorides and sulfates varied in the ranges of 24.67–62.36 mg/l and 30.16–62.09 mg/l, respectively, and in sampling points of the Upper City, this variability was 416.82–988.45 mg/l and 280.11–879.22 mg/l, respectively. The content of lead in snowpack in both the Lower City and the Upper City was approximately the same (0.0053 and 0.0048 mg/l). The minimum content of pollutants in snow samples from reference site was characterized by toxicity (10%, V = 6.0%) which was estimated as allowable (toxicity class 1). Snowpack water from the Lower City was characterized generally by medium toxicity (class 2), and sampled in the Upper City – by acute toxicity (59%, V = 26.5%), with regard to the reference (class 3).
Model Minced Poultry Meat Biomodification with Starter Cultures
Authors:   Kuban State Agrarian University, Krasnodar, Russia. Anton Alekseevich Nesterenko, Kuban State Agrarian University, Krasnodar, Russia., Koshchaev* Andrey Georgievich , Shhalahov Damir Saferbievich ,   Kuban State Agrarian University, Krasnodar, Russia. Alexander Anatolyevich Lysenko, Kuban State Agrarian University, Krasnodar, Russia., Shabunin Sergey Viktorovich ,   Russian research veterinary institute of pathology, pharmacology and therapy, Voronezh, Russia., Lorets Olga Gennadievna ,   Federal State Budgetary Education Institution of Higher Education «Urals State Agrarian University», Yekaterinburg, Russia., Goushchin Viktor Vladimirovich ,   All-Russian Scientific Research Institute of Poultry Processing Industry» – Branch of the Federal State Budget Scientific Institution Federal Scientific Center «All-Russian Research and Technological Poultry Institute» of Russian Academy of Sciences, Moscow, Russia.
Published: November 2019

Dry-cured and raw smoked sausages have always been in great demand among the population. However, the long and complicated technological process results in the high cost of the finished product. In this regard, there is a need for developing and introducing new types of gourmet products with high nutritional and physicochemical properties. Implementation of this task requires a systematic approach. The paper presents a study of the influence of starter cultures on poultry raw meat. The research involved white and red raw chicken meat separately. For preparing model mince, raw meat was ground in a frozen meat cutter with 3 mm mesh diameter, subjected to biomodification, and placed into the edible coating. At each stage of the process, the most important technological parameters were monitored, such as pH, accumulation of lactic acid, and the growth of microorganisms in the model mince. The results of the study indicate, by the main indicators, more complete biomodification by Almi 2 starter cultures.
Economic Evaluation of Directions of State Support of Producers of Energy Capacities for Agriculture of Russia
Authors:   Federal State Budgetary Scientific Institution ", Polukhin* Andrey A. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics",   under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Alekseev Konstantin Ig. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia, Ryzhkova Svetlana M. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Kruchinina Valentina M. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia, Stavtsev Alexandr N. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia, Lankin Artem S. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia.
Published: November 2019

The main objective of the study is an objective economic assessment of the mechanisms of state support for producers of energy capacities for Russian agriculture. According to the results of the study, the article presents an in-depth analysis of the security of Russian agriculture with modern technology, the development of agricultural engineering, an assessment of the effectiveness of state support measures, and suggests key areas for stimulating the development of agricultural engineering in the context of the implementation of import substitution and food security. The following conclusions are formulated and justified: the formation of food security at the state level can be realized only under the condition of resource independence of the agricultural sector; the technological breakthrough observed in agriculture in recent years has become possible only under the condition of technical and technological modernization; dependence on imports of machinery and other productive resources does not allow the formation of a food security system, even if the state provides itself with food in bulk parameters.
Russian Rural Areas: Typology and Initiative Budgeting
Authors:   Federal State Budgetary Scientific Institution ", Paptsov* Andrei Gennadievich ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics",   under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia, Bondarenko Lyudmila Vasilievna ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia
Published: November 2019

The article presents a typology of rural areas in the Russian Federation in terms of the level and dynamics of socioeconomic development based on comparative statistical and comparative trend methods of analysis, which the authors have elaborated. The authors cover methodological approaches, as well as organizational and economic mechanisms of agriculture, which are stipulated in the government program “Integrated Development of Rural Areas” for 2020-2025, and their expected influence on the transformation of types of rural areas, which have arisen in the country.
Sustainable Development o f Sugar Beet Subcomplex
Authors:   Michurinsk State Agrarian University, Michurinsk, Russia., Nikitin* Alexander , Karamnova Natalia ,   Michurinsk State Agrarian University, Michurinsk, Russia., Kuzicheva Natalia ,   Michurinsk State Agrarian University, Michurinsk, Russia., Belousov Vitaly ,   Michurinsk State Agrarian University, Michurinsk, Russia.
Published: November 2019

The study aims at developing theories and practical recommendations for ensuring the sustainable development of the Russian sugar beet subcomplex. The following methods were used during the study: statistical and economic, monographic, economic and mathematical, as well as calculation and constructional. The article determines that the impact of factors of the external and internal environment causes the unsustainability of the sugar beet production. The main sustainability criterion should be to ensure the beet sugar production at the level of 80 % of the national consumption. Therefore, it is possible to consider the volume of production, the supply of sugar factories with raw materials, the level of beet sugar consumption by the population, the level of food security, and the level of provision of material and technical resources for the sugar beet production as the main indicators characterizing its mission. According to the studies, the main producers of sugar beet are the agricultural organizations that produce 85 – 90 % of the gross production. Peasant farms (farms) produce up to 15 % of the gross production. Individual entrepreneurs and the population’s households produce sugar beet insignificantly. The analysis has revealed that the main objective and subjective reasons that hinder the development of the modern Russian sugar beet production include yield fluctuations, fluctuations of sown areas and gross production of sugar beet by beet-growing regions and by years, the lack of proportionality of development between the production capacities of sugar factories and their raw material zones. It is possible to stabilize the production and economic activity in the context of the changing market environment and the increased competitiveness of all participants of the sugar beet production due to developing integration processes and creating a structure that can occupy its niche in the sugar beet market.
Evaluating the Functional State and Physical Fitness of Men and Women in t he Second Period of Adulthood at t he Initial Stage of Recreational and Training Activities
Authors:   Moscow City University, Moscow, Russia., Belyaev* Vasiliy Stepanovich , Stradze A.E. ,   Moscow City University, Moscow, Russia., Malygina I.A. ,   Moscow City University, Moscow, Russia., Tusher Yuriy Laslovich ,   Moscow City University, Moscow, Russia.
Published: November 2019

It has been demonstrated that men and women in the second period of adulthood suffer detraining associated with low level of physical fitness and functional potential at the initial stage of recreational and training activities. Materials. The evaluation of the physical and functional potential of people in the second period of adulthood at the initial stage of recreational and training activities has been presented in the article. Methods. Analysis and generalization of scientific literature, analysis of indicators of the functional potential and physical fitness. Results. The study has been conducted with the purpose of assessing the state of physical and functional potential of the men and women in the second period of adulthood at the initial stage of recreational and training activities. The results of the experiment indicate that the men and women in the second period of adulthood are detrained. This is manifested in the worsening of almost all indicators reflecting the functional potential of the respiratory system. Disorders of the respiratory system are combined. Restriction (reduced stretchability of the lungs and chest), weakening of the respiratory muscles due to lower lung capacity with the growing Gaensler index, and obstruction (bronchospasm) – a significant decrease in all indicators reflecting bronchial permeability, especially the peak flow expiratory rate – are observed. Conclusion. The results allowed to make a conclusion about detraining associated primarily with low level of physical activity in people in the second period of adulthood, which was confirmed by the results of tests evaluating their physical performance and functional potential, low level of physical health, and weak motor potential at the initial stage of recreational and training activities.
Is Imagination Fundamental? o n the Issue of t he Genesis of Subjectivity
Authors:   I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia., Solozhenkin* Boris Sergeevich , Smirnov Dmitry Vladimirovich ,   I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Published: November 2019

Based on the issue of the genesis of subjectivity, the authors of the article turn to the Hegelian model, which captures the two-sided and fundamentally changeable nature of the relationship between subject and object. The article substantiates the idea that imagination, being considered outside of the context of psychologization or reduction of it only to the reproductive aspect, is a source of binary differences fundamental to philosophical thought. Following Hegel’s dialectical method, the authors note that the presence of the image already indicates the difference between the two dimensions of consciousness and knowledge. The image expresses the primary truth of substance and, at the same time, the way it is subjectively given. There is a differentiation of the subjective moment of Being with the realization of fantasy. All formations of Spirit are interpretations of the figurative series, primal scenes, the analog of which was studied by classical psychoanalysis. From this perspective, the genesis of such subjective modes as consciousness, self-consciousness and mind inevitably includes symbolization, interpretation of the "Self" images, cognizing, willing and acting in various situations and contexts. The study of the concepts developed by Hegel, Kennouche, Verene and Merleau-Ponty allows concluding about two arguments in favor of the fundamentality of imagination. This refers, on the one hand, to subjective imagination that generates meanings and the need for their interpretation and, on the other hand, to the initial form of synthesis, on the basis of which, the subject and object of cognition, formations of consciousness and types of knowledge characteristic of them are further distinguished. The image, being the first meeting of the concrete and universal, is capable of setting the plot of one or another form of subjectivity.
IOT based Patient Health Monitoring System using ML
Authors:   Pursuing Bachelors in Technology, Electronics and Communication Engineering ,Vellore Institute of Technology., Gupta* Pramit , Bisht Arinjay ,   Pursuing Bachelors in Technology, Electronics and Communication Engineering ,Vellore Institute of Technology.
Published: November 2019

The project focuses on the usage of sensing and analysis with the help of relevant sensor technologies in order to record the health conditions of people. The best way to understand this is with an example. A practising doctor who is not equipped with such technology can check the patients’ health only when the patient pays a visit to the clinic. Now, with the application of the proposed technological measures, the doctor would have a complete record of the patient whether at home, office or on the road, and this would enable him to prescribe medication in a much more efficient and effective manner. Also, it is important to appreciate that on the basis of patient data recorded in the past, a prediction model could help the doctor see irregularities and predict if a patient suffers from commonly occurring ailments hence saving time in an initial diagnosis. This method for Healthcare Data Analytics using Support Vector Machine (SVM) Algorithm helps improve accuracy when it comes to checking for specific diseases or figuring out the right treatment. Furthermore, the doctor can give a more personalized view if he has access to a large chunk of the individual’s health data along with assistance from the predictions based on modelled data. The cost of treatments can be reduced tremendously if no unnecessary tests are done. The project model first involves a tri-sensor system which takes the heartbeat, pulse-rate and oxygen saturation level of the patient. The values of all these three entities is displayed on the LCD Screen in the hardware model. The values of these sensor are able to be accessed from an Android App with the help of interfacing the App with the Hardware system using Arduino based coding. The LCD screen and Android App show the sensor data and the App data respectively which can be accessed by both the doctor and the patient’s family at any point of time simply by downloading the App. The complete history of the patient’s health is recorded in the IO server Adafruit. The MQTT protocol has been used for transferring information in sensor data from hardware to Adafruit and further publishing it from server to android app. MQTT uses a publish-subscribe methodology here with Adafruit as server while the hardware and Android App act as its two clients. The information is stored in Tabular form in Adafruit as well as in Graphical format. The graph form helps to see if any sudden discrepancies in values for sensor data occur and is used to warn.
Effects of Bank Resolution on Financial Stability and Competitiveness of Banking Sector
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Natocheeva* Natalia Nikolaevna , Belyanchikova Tatiana Viktorovna ,   Plekhanov Russian University of Economics, Moscow, Russia, (Vasilyeva) Yulia Alexandrovnа Lisina ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: November 2019

The paper provides an analysis of the effects of banking licence revocation by the regulator on the financial stability indicators of Russian lenders. The analysis has found mixed performance of resolution measures in terms of the financial stability of banks and their competitiveness in the wake of the banking sector resolution policy of the Bank of Russia. The authors propose a modification of the individual financial stability indicator equation developed by the regulator. The changes relate to calculating annual growth rate volatility not only for lending operations but overall with respect to the attraction and allocation of banking resources. The authors propose an equation for calculating the overall stability level of the banking sector and possible interpretations of the resulting findings in terms of the stability and competitiveness of the Russian banking sector.
Social and Physical Characteristics of Global Processes
Authors:   Senior teacher of The Tashkent Institute of Irrigation and agricultural mechanisation engineers, Tashkent, Uzbekistan., Kumar* G. Ravi , Bezawada Sai Teja ,   Senior teacher of The Tashkent Institute of Irrigation and agricultural mechanisation engineers, Tashkent, Uzbekistan., Bezawada Sai Teja ,   Senior teacher of The Tashkent State Agrarian University, Tashkent, Uzbekistan., Bezawada Sai Teja ,   A teacher of Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.
Published: November 2019

The author of this article classifies processes of globalization from the point of view of impact to the spheres of social life and he analyses it on the basis of the article conception. Given classification does not cover all processes of globalization because it is almost impossible to do, but presented directions, spheres of life can be helpful and useful in dealing with the above-mentioned problems.
Creative Researches of Young Cameramen on the Creation of Graphic Image in Modern Uzbek Feature Films
Authors:   Professor, Chief of department “Sound Direction and Cameraman Skill” of Uzbekistan State Institute of Art and Culture, Uzbekistan, Ikboljon Melikuziev , Tirkashaliyevich Khusanov Sherzod ,   Senior teacher of department “Systems and applications of TV studios” of Tashkent University of Information Technologies named Muhammad Al-Khwarizmi, Uzbekistan
Published: November 2019

In this scientific article the art of today’s Uzbek cinema, and its problems related to professionalism, their solutions and image decision on screen, and the graphic aspect of Uzbek private films has been analyzed. The scientific significance of the research is that the activities of the cameramen in the Uzbek private film industry, their role in the image decision have been thoroughly analyzed, the films that shot by them has been analyzed, and recommendations for eliminating identified shortcomings have been developed.
Research on the Stress Strain State of the Base of Operating Low Pressure Hydraulic Structures
Authors:   PhD in Technical Sciences, associate professor at Hydraulics and Hydropower Department of Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan., Daniyar* Paluanov , Jakhongir Kulanov ,   assistant of the Hydraulics and Hydropower Department of the Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan., Sodik Gadaev ,   Assistant of Hydraulics and Hydropower Department of the Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan., Farid Saidov ,   Assistant to the Hydraulics and Hydropower Department of the Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.
Published: November 2019

The analysis of the stress-strain state of one of the operated low-pressure hydraulic structures on weak soils is considered in the paper. Calculated model on estimation of technical condition of designed and operated HS (hydraulic structures) and their bases taking into account a load of own weight of structures and hydrostatic pressure of water of the upper high relief is offered.
Demand Response Model f or Duck Curve o n Pv Dominated System u sing Support Vector Machines Based Multistage Modelling
Authors:   M.Tech, MBA, (Ph.D), Research Scholar, School of Electrical Engineering,VIT,Vellore, Tamilnadu, India., Sarin C.R. , Mani Geetha ,   M.E. Ph.D, Associate Professor, School of Electrical Engineering, VIT,Vellore, Tamilnadu, India., Alexander S.Albert ,   M.E,Ph.D.,PDF (USA),SMIEEE, Associate Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Tamilnadu, India.
Published: November 2019

Solar Photovoltaic (PV) generation systems have a less Levelized cost of electricity (LCoE). As such, when solar energy is available, the demand response is scheduled in such a way that maximum utilization of solar energy is practised.But the power generation from a solar PV system is highly uncertain and unpredictable due to irregular solar irradiation. Also, the power generation is limited to a time fraction of a day.The impact of these negative traits in a power system is studied with the help of an analytical curve called “Duck curve”. “Solar Duck curve” is a graphical representation of time scaled imbalances between a SPV generation to peak demand. A steep or rugged part in a duck curve indicates sudden shortcoming of SPV generation with respect to the peak demand. Hence, during this period, the loads are shifted between solar PV sources and the main grid with respect to the insufficiency of solar power from peak demand. The proposed system is a machine learning-based multistage demand response system for meeting demand response of a SPV dominant duck curve. The model has four layers/stages.The primary layer is used to analyse the behaviour of the duck curve with the help of a Support Vector regression algorithm and the second layer is used for determining theoperating parameters based on the economic constraints imposed. The third layer is a demand response model based on the previous layer, and the fourth layer is aadaptive signal-processing model used to improve the stability of the system.The obtained demand response model is updated continuously in an adaptive manner so as to improve the stability of the system.A hardware experimental setup is made with eighteen numbers of 24V/2kW interconnected solar PV real-time system which is used for validating and analysing the method.
Effective Shopping Method for Visually Impaired People using Optical Character Recognition
Authors:   Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Meera S. , Sree R. Sharmikha ,   Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Valarmathi Dr . K . ,   Department of M.E.(CSE), Pannimalar Engineering College, Chennai, Tamilnadu, India.
Published: November 2019

Visual impairment persons are not able to do all works as normal persons especially during purchasing products in supermarket. To help the blind peoples recognise the objects a text reading method is proposed along with the help of camera. A motion detection method is used to detect the presence of the object. The audio instructions about all the objects and their location in supermarket are notified to the blind user that helps them to move freely inside the supermarket. The proposed system aims to make more convenient for the blind persons to purchase in a sophisticated environment. This system also provides easy shopping, consumers time is saved, etc. The implementation of proposed system is done using artificial intelligence and OCR technology. General Terms Visually impaired people, smart shopping, OCR.
Energy Consumption Using HOMER Software
Authors:   Koneru Lakshmaiah Education Foundation, Yemineni Ramya Sarvani , Gandi Anand Vineel ,   Koneru Lakshmaiah Education Foundation,, Vege Hari Kiran ,   Koneru Lakshmaiah Education Foundation, Prakash Kolla Bhanu ,   Koneru Lakshmaiah Education Foundation
Published: November 2019

The present and future of power industries rely on effective usage of electric grids integrated with Information and communication technology which are called as smart grids. These grids provide better quality of service in terms of better resource and asset management, finding out faults in the system, efficient energy consumption by decreasing demand and supply gap. The present work throws light on preliminary investigation on energy and power consumption from the real time data collected from a higher education institution. Analysis is done using HOMER software.
Speaker Recognition System Based on Wavelet Features and Gaussian Mixture Models
Authors:   Research Scholar, Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore-641 046, Tamil Nadu, India, Sajeer* K. , Rodrigues Paul ,   DMI College of Engineering, Palanchur, Chennai-600123, Tamil Nadu, India
Published: November 2019

Identification of a person’s voice from the different voices is known as speaker recognition. The speech signals of individuals are selected by means of speaker recognition or identification. In this work, an efficient method for speaker recognition is made by using Discrete Wavelet Transform (DWT) features and Gaussian Mixture Models (GMM) for classification is presented. The input speech signal features are decomposed by DWT into subband coefficients. The DWT subband coefficient features are the input for the classification. Classification is made by GMM classifier at 4, 8, 16 and 32 Gaussian component levels. Results show a better accuracy of 96.18% speaker signals using DWT features and GMM classifier.
The Necessity of Acquiring Integrated Language Skills and its Possibility through Creative Ways of Teaching and Testing
Authors:   Research scholar, P.G. and Research Department of English, Presidency College, Chennai, Tamilnadu, India., Vimala V.L.
Published: November 2019

English as a global and Multi National Companies’ language has gained its tremendous importance among college students of India. Students have realized the necessity of knowing and using the language to get the job. But, how to learn it in the short period of time is the question predominantly present in these students’ mind, which has to have its answer from language experts. The first and comfortable choice for teaching language at ease and quick is literature which is short and has plot and narrative. F.C. Bartlett, the psychologist, the founder of the concept of ‘schema’ scenario and the cognovits insist on the possibility of language learning through technical use of schemas and ‘filling index’ or cognitive map present in human brain. It is also a well realized fact that through concentrating on development of one skill, it is not possible to make the learners to use the language. Hence, all the four skills have to be equally given with importance to develop them in learners effectively, to enable them to use the language.
Realization of Minkowski Fractal Antenna for Multiband Wireless Communication
Authors:   Department of ECE, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, India, Koteswaramma* N. , Vardhini P.A.Harsha ,   Department of ECE, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, India, Babu K.Murali Chandra ,   Department of ECE, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, India
Published: November 2019

A F-Planar radio wire for the band of low (698-960 MHz) and centre (1710-2690 MHz) band LTE Frequency is presented in this paper. Receiving wire goes about as a circle radio wire in high recurrence. The Antenna ground plane is set with the element of 150mm *200mm proportional to a cell phone tablet PC. Proposed wire design in the mentioned bands has desirable Omni-directional radiation pattern and gain characteristics for wireless systems.