bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of the Social Concept of the Russian Orthodox Church and the Social Doctrine of Islam on BIoethics
Authors: Vetrova O. A. , Nishnianidze O. O. , Krasil'nikova T. D.
Published: May 2023

Relevance. Religion permeates all spheres of human life: politics, economics, education, culture, medicine. There is no sphere of influence where religion would not leave its mark. In this regard, the consideration of the social doctrines of various prevailing confessions in the social life of a person is an urgent topic. Religion cares about the spiritual and physical well-being of a person, therefore, in the modern realities of the development of biomedical technologies, the moral aspect of human activity in the field of bioethics causes discussions in relation to such manipulations with the human body as IVF, surrogacy, abortion and transplantation. This leads to the need to consider these medical interventions from the point of view of the prevailing confessions in Russia.

The purposeis to conduct a comparative analysis of the social concepts of Islam and Orthodoxy concerning bioethics issues.

Objectives. To examine the existing approaches of Orthodoxy and Islam to bioethics; to identify the specifics of the doctrines of Islam and Orthodoxy in matters of surrogacy, IVF, abortion and transplantation; to compare the religious views of these denominations with regard to bioethics.

Methodology. The study was conducted on the basis of a systematic approach within the framework of structural functionalism using universal scientific methods such as analysis, synthesis and generalization. Results. In the course of studying the doctrines of Islam and Orthodoxy in the field of bioethics, a comparative analysis of views on surrogacy, IVF, abortion and transplantation was carried out; similarities and differences of views of Orthodoxy and Islam on bioethics issues were revealed.

Conclusions. The work identified similarities between Orthodox concepts and Muslim doctrines in relation to abortion, IVF, surrogacy and transplantation, differences are observed in relation to traditions.
Religious Mysticism and the Psychology of Religion: on the Question of the Limits of Reduction. Part 1
Authors: Shugurov M. V. , Mozzhilin S. I.
Published: May 2023

Relevance. Due to the departure from religious traditions that once mediated the content and interpretation of religious and mystical experience, in the situation of postmodern new religious and mystical quests, eclectic, and sometimes surrogate mystical psychologism, arises.

The purpose is carry out an understanding of the limits of the reductionist approach of the psychology of religion to religious and mystical experience.

Objectives: comprehend the subject field of the psychology of religious and mystical experience; reveal the dramatic relationship between reductionist and non-reductionist approaches to the content of mystical experience; substantiate the need for interdisciplinary interaction as a means of avoiding the absolutization of psychological reductionism and anti-reductionism in understanding the content of religious and mystical experience.

Methodology. The study uses methods of synthesis and analysis, which allow revealing the specifics of the content-based approach of the psychology of religion to religious mysticism. The comparison method made it possible to establish the differences between various research programs within the latter, which, to varying degrees of intensity, either absolutized or limited the use of reduction.

Results. An approach to religious mysticism from the position of a psychologist as an external observer, i.e. without penetration into its semantic fabric, characteristic of a particular religion, does not lead to an essential understanding of mystical experience and the discretion of its transpersonal ontology.

Conclusions. In the coordinates of a purely psychological approach, far from religious dogmatic subtleties and philosophical generalizations, there is a danger of reduction, which does not take into account the gradation of mystical experiences into genuine and inauthentic.
The Transformation of Subjects and Objects of the Socio-Economic System of Neo-Colonialism in the Context of a Global Structural Crisis
Authors: Sirotkina A. I.
Published: May 2023

Relevance. The merging of the economic interests of the state and private structures, supported by the concentration and centralization of power-property in the context of the global structural crisis, indicates the transformation of the existing global socio-economic conjuncture, in particular the transformation of subjects of socioeconomic relations into objects. Thus, there is a need to study the ongoing transformation with the subsequent identification of the emerging structure of class society, which makes is possible to determine a promising direction of research in the field of socio-economic relations developing in the global liberal socio-economic system, which is in the terminal stage of crisis.

The purpose of the study is to identify trends in the transformation of the global system of socio-economic relations, its elements (subjects and objects of relations), as well as the socio-economic (class) relations themselves, formalization of the presented transformation and ensuring its representativeness.

Objectives. This goal is achieved by solving the following tasks: identifying the integration of the institution of the state with transnational capital, representing the emerging structure of socio-economic subject-object relations, as well as the system of subject-object relations of a new global class society.

Methodology. The solution of these tasks is carried out by applying general scientific research methods within the framework of logical analysis and synthase. Formulated and applied the author’s method, presented in the text in the form of an algorithm that describes the logic of the process of transformation of subjects of socio-economic relations, represented by a flowchart.

Results. The result of the research is the modeling of the emerging structure of socio-economic subject-object relations.

Conclusions. The conducted research is applicable for the structural analysis of global socio-economic processes, as well as the formation of interdisciplinary theoretical models that reveal the destructive processes taking place in the modern market world system, which is on the verge of transformation.
ESG-Transformation in Russia: Turning to a Social Direction of Business Development
Authors: Mankevich Y. V.
Published: May 2023

Relevance. Obviously, there is a direct relationship between the implementation of the company's sustainable development goals, its movement in ESG directions and strategic business development. In general, as practice has shown, the first attempts at ESG transformation made in Russia revealed a number of shortcomings in the formulation of the ESG direction in companies, among the main ones noted: weak methodological elaboration, lack of understanding of problems, lack of elaboration of individual areas and fragmented data provision. In the current conditions, it is difficult to talk about the environmental E-component of ESG as the flagship of the sustainable development of companies, as it was before. In this connection, many experts are now talking about the upcoming ESG transformation towards ESG-S. It became possible to assess the level of work of companies in this area based on the analysis of information provided on the companies' website, disclosure of non-financial reports on the RSPP site, as well as sociological studies of the BEAC and HSE, which formed the information base of this consolidated study.

The purposeof this study is to analyze the main directions of companies' work in the context of the Scomponent of ESG as a basis for strategic business development in Russia.

The objectivesare to analyze the social aspects of the activities of most large Russian companies in the main areas: staff turnover, gender equality and interaction with stakeholders, as well as consideration of their assessment issues and partner requirements.

Methodology. The following research methods were used: inductive/deductive, normative-analytical, system method and generalization method. Results. The results obtained will be the basis for a systematic assessment of the level of ESG-S results achieved by business at the present stage, as well as a vector of further business movement towards the national specifics of ESG.

Conclusions. As a result of the conducted research, conclusions were obtained about the achieved level of ESG-S, and on their basis, further steps towards ESG transformation in today's conditions were outlined.
Comparative Analysis of the Scientific, Educational and Digital Potential of the BRICS and G7 Countries: Conclusions for Public Administration Systems
Authors: Ponomarev S. V. , Bukhonova N. M. , Saifutdinova L. R. , Garayeva C. R.
Published: May 2023

The relevance of the study lies in the need to assess the capabilities of the BRICS and G7 international alliances in the context of increasing uncertainty and shifting centers of global leadership. The purpose of the study is to conduct a comprehensive comparative analysis of the BRICS and G7 countries' scientific, educational and digital capabilities to determine the prospects of the impact of the two international alliances on the development of the global economy.

Objectives: to study the indicators of the BRICS and G7 countries' scientific and educational potential; to study the components of the BRICS and G7 countries' digital potential; to substantiate the tools for expanding the scientific, educational and digital potential of the countries to strengthen the BRICS position in the global economy.

Methodology. The study is based on the use of methods of statistical information collection, comparative and economic analysis, systematization, and the graphical method.

Results. The analysis of indicators of the BRICS and G7 countries' scientific and educational potential shows, on the one hand, the advantage of the alliance of developed G7 countries and, on the other hand, the clear leadership potential of China, Russia and Brazil in various groups of indicators, which determines the probability of strengthening the positions of these countries and the entire BRICS alliance in the implementation of an active government policy in the field of education and science. The current gap between the BRICS alliance and the G7 countries in terms of digital capacity has narrowed during the pandemic, which creates the preconditions for developing countries to strengthen and achieve digital leadership in the world.

Conclusions. It is concluded that the strengthening of the BRICS countries' position on the world stage in terms of GDP over the past 10 years, as well as the presence of strong elements of scientific, educational and digital potential of individual countries of this alliance, and their strengthening during the pandemic have formed the prerequisites for the alliance to take leadership positions in the near future.
U.S. Strategic Energy Interests and Tactics for Their Implementation Amid the COVID-19 Pandemic and Russia's Special Military Operation in Ukraine
Authors: Kuzmina V. M. , Lavrova A. I.
Published: May 2023

Relevance. Relations between states, due to either energy cooperation or confrontation, have entered the most acute phase since the beginning of the XXI century, since competition in this industry has become a leading element of the foreign policy of world powers. The purpose is to consider the stages of formation and development of the US energy strategy in the current conditions of world politics.

Objectives: to study the activities of us presidents in the context of the implementation of the country's energy interests; to study the legal framework of the US energy dominance in different countries and continents: highlight the significant tactical steps of the US government in the field of realizing the country's energy interests.

Methodology. The application of the method of document analysis made it possible to identify the strategic priorities of the policy of the US governments in their dynamics. The retrospective method of analyzing US policy made it possible to prove the idea of the purposeful participation of the US military departments in ensuring the national security of the country in the economic sector.

Relevance. The dynamics of the US energy strategy is analyzed on the example of the activities of its presidents from the end of the twentieth century to the present, which showed the transformation of the country's energy strategy from regional dominance, from the position of a net importer of energy resources to global dominance and transformation into a net exporter of energy resources through economic (development of shale deposits), military (expansion of NATO bases in the regions of oil and gas production) and diplomatic (summits, sanctions), etc.

Conclusions. Thus, the energy boom leads to a change in the geopolitical alignment of forces in the world, a decrease in the influence of OPEC countries on the formation of oil prices. The shale revolution is at the heart of a fundamental shift in the balance of power. All this makes it possible for the United States to reduce dependence on energy imports and expand freedom of action in Europe, the Middle East, and Central Asia.
Industrial Parks as a Tool for Creating a High-Quality Investment Environment for the Development of the Region
Authors: Bessonova E. A. , Lopatina N. D.
Published: May 2023

Relevance. The formation of a high investment potential of the region is one of the priority areas for the development of the Russian Federation, and today industrial parks are becoming widespread as a tool for implementing the investment policy of the subjects. In the Kursk region, industrial parks were formed relatively recently, but have already established themselves as an effective tool not only for attracting investment, but also for business development. Industrial parks make it possible to concentrate enterprises of the same production line in one area and use synergy and scaling as a tool to reduce costs for residents of industrial parks in order to develop their infrastructure.

The purpose to consider industrial parks as a tool for creating a high-quality institutional environment for the development of regions in the Russian Federation, to generalize ideas about the growth points of the investment strategy implemented through industrial parks.

Objectives: form an idea of industrial parks located in the Kursk region, and substantiate proposals for their further development. Methodology. When considering this topic, the following methods were used: analysis, synthesis, generalization, logical, as well as graphical methods of information processing, etc.

Results. The internal potential of the regions should be revealed depending on the individual characteristics associated with the socio-economic situation. Attracting investments to the region is a priority task, which is provided by various means and methods. For the Kursk region, the formation of a cluster of industrial parks provides a stable flow of investments not only in the short term, but also in the long term.

Conclusions. Industrial parks make it possible to unite the private sector of the economy, connected in terms of the production cycle, thereby solving the problems of optimizing economic processes and production
Directions of Regional Economic Development in Small Business
Authors: Kelesh Y. V. , Pylaykina A. V. , Agarkova E. M.
Published: May 2023

Relevance. The difficulties of small business caused by the pandemic and its economic consequences actualize the study of issues of regional economic development in small business, since its effective functioning provides opportunities for economic growth in the region.

The purpose is establishment of measures to support small business based on the trends of its development in the regions, which in the future will allow to form the directions of regional economic development in small business, contributing to improving the efficiency of the regional economy.

Objectives: Determination of trends in the development of small businesses in Russia and the Central Federal District. Assessment of indicators of the state, activity and development of the small business sector in regional economic development in the context of the Central Federal District regions. Analysis of numerical dynamics, as well as the dynamics of ICT development and anti-crisis support in detail on financial, property and innovation support for small businesses. Establishment of support measures for the small business sector aimed at improving the efficiency of regional economic development. Methodology. Methods used in the research: statistical information processing; statistical analysis and synthesis; graphical method of data visualization.

Results. Since 2019, the number of small businesses and their number has been declining due to the pandemic. In 2020, the regions of the Central Federal District are characterized by a reduction in the number of small enterprises and the number of their employees, an increase in the level of digitalization of small businesses, a decrease in the number of new private high-tech firms with non-zero revenue, as well as an increase in anti-crisis support. The support provided has not yet led to normalization of the situation. The designated set of measures will create a certain level of attractiveness for the population in the small business sector, as well as stimulate the development of existing small businesses.

Conclusions. The presented set of measures will make it possible to identify promising areas of regional economic development in the small business sector, which will contribute to economic growth in the region and increase the efficiency of the regional economy.
A Practice-Proven Adaptive Case Management Approach for Innovative Health Care Services (Health Circuit): Cluster Randomized Clinical Pilot and Descriptive Observational Study
Authors: Herranz Carmen , Martín-Moreno Banegas Laura , Dana Muzzio Fernando , Siso-Almirall Antoni , Roca Josep , Cano Isaac
Published: May 2023

Background

Digital health tools may facilitate the continuity of care. Enhancement of digital aid is imperative to prevent information gaps or redundancies, as well as to facilitate support of flexible care plans.

Objective

The study presents Health Circuit, an adaptive case management approach that empowers health care professionals and patients to implement personalized evidence-based interventions, thanks to dynamic communication channels and patient-centered service workflows; analyze the health care impact; and determine its usability and acceptability among health care professionals and patients.

Methods

From September 2019 to March 2020, the health impact, usability (measured with the system usability scale; SUS), and acceptability (measured with the net promoter score; NPS) of an initial prototype of Health Circuit were tested in a cluster randomized clinical pilot (n=100) in patients with high risk for hospitalization (study 1). From July 2020 to July 2021, a premarket pilot study of usability (with the SUS) and acceptability (with the NPS) was conducted among 104 high-risk patients undergoing prehabilitation before major surgery (study 2).

Results

In study 1, Health Circuit resulted in a reduction of emergency room visits (4/7, 13% vs 7/16, 44%), enhanced patients’ empowerment (P<.001) and showed good acceptability and usability scores (NPS: 31; SUS: 54/100). In study 2, the NPS was 40 and the SUS was 85/100. The acceptance rate was also high (mean score of 8.4/10).

Conclusions

Health Circuit showed potential for health care value generation and good acceptability and usability despite being a prototype system, prompting the need for testing a completed system in real-world scenarios.

Trial Registration

ClinicalTrials.gov NCT04056663; https://clinicaltrials.gov/ct2/show/NCT04056663
The Application of Puritanism in American Early Literature
Authors: Xiaoyun Zhu
Published: May 2023

Puritanism is an important cornerstone of American society and culture, and it has exerted a very important influence on the economy, politics, religion and social life of American society. It has a profound influence on the American people’s thoughts and culture from all aspects, and has laid the keynote of American society and American spirit, and shaped the American people’s character of hard work, thrift, piety sobriety. Early American literary works were also influenced by Puritanism, showing the characteristics of simplicity, directness and freshness. This paper discusses the cause and connotation of Puritanism, as well as its influence on the American character. Based on this, this passage takes the Autobiography of Franklin and the Declaration of Independence as examples to analyze the specific application of Puritanism in early American literary works.
Intravenous Drip Monitoring System
Authors: Savale Vaishali , Bhandari Rudra , Bhanji Omkar , Bhandari Tushar , Bhalke Shantanu , Bhandare Riddhi
Published: May 2023

Abstract: In this paper, a system which displays the real time drip rate of an Intravenous (IV) infusion fluid and provides an estimated time by which the IV bottle empties is proposed. In the proposed system, a light emitting diode (LED) and light dependent resistor (LDR), linearly assembled are used, which is more accurate than an infrared sensor - emitter assembly and economically feasible than computer vision techniques. The existing system doesn’t display the time left until the IV bottle empties, so in this proposed system, volume/weight detection technique using load cell is used to provide real time data regarding the time left.
Crop Price Prediction
Authors: Biradar Dr. Rajashree V , Priyanka S , Deepika L , Shree M Usha
Published: May 2023

Abstract: In developing nations like India, where more than 33% of the population is in need, ensuring food profitability is a major problem. Estimates of crop yields for a given season are indisputably regarded as making a substantial contribution to investigating food accounting data and yield deficits. There is no structure in place to advise farmers on the best crops to cultivate, which would help with cost estimation. So, in this paper, we make an effort to forecast crop prices that a farmer can get from his field by looking at trends in historical data. For our analysis, we are taking a few crops like wheat, ragi, bajra, and barley. We are using a variety of information, including rainfall, previous crop yields, etc. We have implemented supervised machine learning algorithms (Decision Tree) to analyze and predict data.
Comparison of Signal Processing Methods for Bearing Fault Detection
Authors: Gaikwad Jitendra A. , Patankar Sanika S. , Kamalapure Prithiviraj , Patil Prasad , Kamble Tejas , Padole Sumit , Lahwal Naseer
Published: May 2023

Abstract: Bearings with rolling elements are a typical part of rotating machinery. Vibration analysis is one of them that is frequently used to gauge the general wellbeing and condition of rotating machinery. Finding bearing defects is important in the pursuit of extremely reliable operations. The main relationship between vibration signal-based features and measured signals is that they can be used in order to assess the condition of a bearing. In order to examine the effectiveness of non-parametric harmonic approaches for defect identification using real motor data, the study recommends utilizing Thomson's Multitaper Estimation and Welch Periodogram Estimation. The researches show that this approach can identify outer race faults and inner race fault. The conclusive evidence points to Thomson's Multitaper Periodogram Estimation method as a successful technique for bearing fault identification.
Review Paper on Smart Guidance Belt For Blinds
Authors: Parashar Anant , Mishra Arnav , Chaudhary Ashish , Bhatt Rajeshwari
Published: May 2023

Abstract: This project seeks to create a simplified version of a smart wearable belt that can assist blind people with navigation, using a sensible and compact design for the electronic equipment. The design includes an embedded system, and could potentially incorporate machine learning algorithms to detect potholes and other irregularities on the road. The goal is to develop a smart belt that can help blind people travel independently without the use of a cane. The Electronic Blind Mobility Aid is a technology that uses sensors put on a belt worn around the waist to allow blind persons to travel independently. This advanced technology can help many people with visual impairments to travel independently. Blind people often face obstacles that can make it difficult for them to travel alone, but a blind belt can extend their range of perception by serving as an obstacle detector. Visually impaired people often use their hearing to compensate for their reduced eyesight, and can recognize sound sources. This technology enables blind persons to travel independently and receive obstacle alerts via headphones and speakers using sensors installed on a belt that is worn around the waist. Blind people can utilise this approach every day to find potential hazards, roadblocks, and pathways. In the end, this technology will serve to increase the independence of blind individuals and give them more confidence when they travel. To notify users of potential dangers, the device has a buzzer that produces vibration signals and emits a warning sound. Both the sound frequency and the vibration frequency rise as the space between the elastic gloves and the barriers gets smaller. The design incorporates a buzzer and motor in addition to the capability to notify the proper person in case of an emergency.. The goal of this study is to provide a low-cost, effective means of helping blind individuals travel more easily, quickly, and confidently. This design provides a quick-response, cost-effective, and portable solution. This device can let blind persons traverse their environment more safely and confidently by employing sound and vibration cues to notify the user of impediments.
Hybrid Features Extraction for Emotion Detection using Deep Convolutional Neural Network
Authors: Rathod Manju , Musale Prof. Jitendra , Haribhakta Yadnesh , Koli Mayuri , Surve Sharwari
Published: May 2023

Abstract: These Human facial expressions communicate much information more visually than verbally. Recognition of facial expressions is essential for human-machine interaction. Applications for automatic facial expression recognition include but are not limited to, comprehending human behaviour, spotting mental illnesses, and creating artificial human emotions. Humancomputer interaction, autonomous cars, and a wide range of multimedia applications all rely heavily on facial expression detection. In this study, we present a reusable architecture for recognizing human emotions based on facial expressions. Two machine learning algorithms that may be learned in advance for use in real-time applications make up the framework. At first, we use AdaBoost cascade classifiers to find instances of faces in the photos. The extracted neighborhood difference characteristics then serve as a representation of a face's features according to its localized appearance data. Instead of only looking at intensity data, the NDF predicts multiple patterns depending on the connections between surrounding areas. Despite a high identification rate, facial expression recognition by computers remains difficult. Based on geometry and appearance, two widely used approaches for automated FER systems are often used in the literature. Pre-processing, face detection, feature extraction, and expression classification are the four steps that typically make up facial expression recognition. Various deep learning techniques (convolutional neural networks) were used in this effort to recognize the primary seven human emotions: anger, fear, happiness, surprise, and neutrality
UV Sterilization Biological Safety Cabinet
Authors: Yadav Sidharth , Mateen Syed , Patil Abhijeet , Pandey Sunil Kumar , R Kiran
Published: May 2023

Abstract: In the past three years COVID-19 has been a major health concern. The World Health (WHO) Organization declared COVID-19 as a pandemic and WHO said that the chances of more pandemics happening in near future are very high. To avoid such pandemics basic safety measures, have to be taken seriously such as sanitization and sterilization. COVID-19 was identified to be transmitting through various mediums such as currencies, cards, daily household objects, medical supplies and etc. Things like PPE kit, surgical masks and N95 respirators are crucially important for the safety of patient and medical personnel working during the pandemic. Due to the pandemic the demandof safety kits outnumbered the supply and medical professionals were left to use the already used PPEkits. The primary goal of the Biological Safety Cabinet(BSC) is to sterilize things like medical equipment anddaily use objects. Ultraviolet (UV) light is used for the purpose of disinfection or sterilization of rooms and surfaces. UV-C has germicidal properties but it is also harmful for human beings. Hence, for the purpose of sterilization without human interference, a UV BSC has been designed to sterilize daily use objects and medical essentials.
Smart Sprinkler System
Authors: Chippa Prof. Shrinivas , Sargar Shivani , Sake Vivek , Shaikh Aamir , Shah Kushal , Shindode Aryan , Kohale Siddhesh
Published: May 2023

Abstract: The research paper provides a comprehensive overview of the system's design, which includes selecting appropriate solar panels and DC motors. The paper describes the mounting structure's design and construction, which was designed to ensure the system's stability and durability. The paper also discusses the integration of the soil moisture sensors, which are essential for the system's optimal performance. The sensors were calibrated to ensure accurate measurements of the soil's moisture content. The system uses solar panels to generate electricity, with a DC motor rotating the sprinkler according to the sun's direction, ensuring optimal energy efficiency. The system's control unit integrates soil moisture sensors, which measure the moisture content of the soil and activate or deactivate the sprinkler accordingly. The research paper includes the results of the system's performance evaluation under various environmental conditions. The system's energy efficiency was found to be optimal, with the solar panels generating sufficient power to operate the sprinkler and the DC motor rotating the sprinkler efficiently. The soil moisture sensors were also found to be highly accurate, ensuring that the sprinkler was activated or deactivated based on the soil's moisture content. The system's performance evaluation also demonstrated that it can reduce water usage by up to 70%, making it an effective solution for water conservation in agriculture.
Fake Product Detection Using Blockchain Technology
Authors: Auti Nisha , Patil Aarti , Nande Anushka , Shinde Atharva , Sonmali Sanket
Published: May 2023

Abstract: There are several fake products in the existing supply chain markets. It is necessary to have a system for end users to check all details about the product they are buying so that the customer can check if the product is genuine. In recent years, faking products play an important role in product manufacturing industries. Faking products affects the company name, sales, and profit of the organizations. Blockchain technology is used for the identification of actual merchandise and the detecting of faux products. Blockchain technology is generally a tally system that stores all the data of the deals that take place in it. The precise aspect approximately this era is that the tally we referred to is a allotted tally in a peer-to- peer community. Blockchain generation is relaxed as the facts saved once within the chain is immutable consequently any block cannot be modified or hacked. with the aid of using Blockchain era, clients or customers do no longer want to rely on users for confirmation of product authenticity and protection. Our device affords the rising generation of web use instances, and brief reaction (QR) codes offer a unique but affectable method to triumph over these faking of products. Counterfeited merchandise may be detected the use of a QR code scanner, wherein the QR code of the product is linked to the Blockchain. So, this system can be used to store product info and generate particular code of that product as blocks inside the database. It collects the precise code from the consumer and compares the code against entities within the Blockchain database. If the code matches, it will give all the information about the product otherwise no data can be outputted to the purchaser which shows that the product is fake or counterfeited.
Designing Disk Brake Rotors: A Practical Approach
Authors: Umar Mohammad Monis , Korde Atharva , Kulkarni Atharva , Mugle Ghanshyam , Mukane Suryan
Published: May 2023

Abstract: Disc brake rotors play a critical role in the performance and safety of automotive braking systems. This paper presents a design and optimization methodology for disc brake rotors aimed at improving their durability, thermal performance, and weight reduction. The proposed approach combines analytical modelling, numerical simulations, and optimization techniques to achieve an optimal rotor design. The results demonstrate the effectiveness of the proposed methodology in enhancing the performance of disc brake rotors.
Attention: A cognitive approach in Sports Psychology
Authors: Yadav Archana
Published: May 2023

Abstract: Attention is studied under cognitive psychology in which it focuses on how large number of stimuli hit upon our sense organs, but simultaneously we forget to notice all the changes at the same time. Attention is paying concentration to a selective stimulus while shutting out other stimuli or other information specially in context to sports. People and Sportsperson who pay attention have better memory as they’re more likely to retain and remember information. Paying attention helps improve professional relationships as you listen attentively and respectfully to others. Although there are many distractions in a public place such as the crowd, the staff and even the bustling noise of the traffic, people remain focused on their work. Attention allows them to concentrate on the things that are important to them
Analysis on Cyber Crimes and Preventive Measures
Authors: Thomas Asha
Published: May 2023

Abstract: This paper is generally to analyse various cybercrimes and corresponding preventive measures. Cybercrimes refers to criminal activities carried out by means of computer systems or the internet. As Cybercrimes are considered as a great threat in today's world, to the security of nation, to someone's personal data and information, individual security, so there is the need of some basic awareness and security measures, by which people can safeguard themselves from such crime. Cybercrimes are considered as a major risk because they can have devastating effects like financial losses, breaches of sensitive data, failure of systems, and, it can affect an organization's reputation. In this paper, we will discuss more about cybercrimes, and how do they happen. Also, who are Cybercriminals and, the different types of cybercrimes and preventive measures.
Suspicious Activity Detection Using Machine Learning
Authors: Kumbhar Bhagyashri , Pisal Pranav , Kene Kunal , Raut Aditi
Published: May 2023

Abstract: Various technologies have been utilized to implement the safety of life and property byinstalling high quality CCTV cameras. It is not possible to manually monitor each and every moment activity. Furthermore, in practical scenario the most unpredictable one is human behaviour and it is very difficult to find whether it is suspicious or normal. In this work the notion of CNN is used to detect suspicious or normal activity in an environment, and a systemis proposed that sends an alert message to the similarity authority, in case of predicting a suspicious activity. It's worth noting that the effectiveness of a suspicious activity detection system relies on the quality of the training data, the architecture of the Machine Learning model, and the deployment environment. Ongoing monitoring, regular updates, and continuousimprovement are important for maintaining the system's accuracy and adapting it to new and emerging types of suspicious activities
Use of Geosynthetic Encasement in Stone Column for Ground Improvement
Authors: Sanap Swapnil S , Ingale Krishna S , Patil Bhojraj S , Chaudhary Vaibhav M , Jain Prof. Puneet
Published: May 2023

Abstract: Ground improvement is an important requirement in today's construction industry as landreclamation is becoming increasingly popular. The stone column technique is a very efficient method of improving the strength parameters of soil like bearing capacity and reducing consolidation settlement. Soil reinforcement can be an ideal solution for the improvement of clay. Out of other conventional methods, stone columns are effectively being used for ground improvement, particularly for the construction of flexible structures such as road embankments, oil storage tanks, etc on soft soils. It offers a much more economical and sustainable alternative to piling and deep foundation solutions. This report investigates thequalitative and quantitative improvement of individual load capacity of stone columns by varying the diameterof stone columns through laboratory model tests conducted on stone columns installed in clay beds prepared in controlled conditions in a large-scale testing tank. The results from the load tests indicated the performance of a smaller diameter stone column is superior to that of a bigger diameter stone column and the stone grit used to Promote the vertical drainage function of the column by acting as a good filter.
Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud
Authors: Phale Jayesh , Ragho Ass. Prof. Soni R. , Kale Rushikesh , Yelakar Priya , Sul Priyanka
Published: May 2023

Abstract: Attribute-based encryption (ABE) has been widely used in cloud computing where a data provider outsources his/her encrypted data to a cloud service provider, and can share the data with users possessing specific credentials (or attributes). However, the standard ABE system does not support secure deduplication, which is crucial for eliminating duplicate copies of identical data in order to save storage space and network bandwidth. In this paper, we present an attribute-based storage system with secure deduplication in a hybrid cloud setting, where a private cloud is responsible for duplicate detection and a public cloud manages the storage. Compared with the prior data deduplication systems, our system has two advantages. First, it can be used to confidentially share data with users by specifying access policies rather than sharing decryption keys. Second, it achieves the standard notion of semantic security for data confidentiality while existing systems only achieve it by defining a weaker security notion. In addition, we put forth a methodology to modify a ciphertext over one access policy into ciphertexts of the same plaintext but under other access policies without revealing the underlying plaintext.
IoT Based Well Water Level Monitoring Using I2C Protocol
Authors: Chauhan Karan , Abhang Shrutika , Agrawal Hunar
Published: May 2023

Abstract: This study suggests an Internet of Things (IoT)-based well water management system that transfers data between the well and a centralized control unit using a master-slave communication strategy. The system is designed to overcome problems with conventional water management systems, including manual monitoring and control, a dearth of real-time data, and human error. A sensor network is placed in the well as part of the suggested system to gather information on the water's level. The information is then communicated effectively and reliably to a central control unit using a master-slave communication strategy. Making timely and well-informed decisions is made possible by the central control unit's processing of the data and provision of real-time feedback on the quantity and quality of the water. The system has been put to the test in a rural well, and the results show how well it manages water, cuts down on waste, and ensures sustainable use of water resources. With access to clean and safe water, the suggested IoT-based well water management system can significantly improve the livelihoods of communities by being implemented in additional rural locations
Thyroid Cancer Detection
Authors: Mudaraddi Kiran , Nandish S , M Ashmitha , R Rahul B H , Amrutha L
Published: May 2023

Abstract: In the recent world of Digital and Technology,the level of disease rate also increases with time. According to the World Health Organization, the second most common endocrine disorder in the world is relatedto thyroid gland diseases which is next to diabetes. Hypothyroidism or hyperthyroidism is a major issue in India which rises due to non-functional thyroid hormones. This study proposes a machine learning framework to predict thyroid cancer based on our collected clinical dataset. The ten-fold cross-validation, bootstrap analysis, and permutation predictor importance were applied to estimate and interpret the model performance under uncertainty. The comparison between model prediction and expert assessment showsthe advantage of our framework over human judgment in predicting thyroid cancer. Our method is accurate, interpretable, and thus useable as additional evidence in the preoperative diagnosis of thyroid cancer.This diagnosis of Thyroid Cancer is very monotonous and tough tasks at early steps with accuracy. The Accuracy prediction can be done through various Machine Learning Algorithms.
A Review Paper on PG Recommendation System
Authors: Gupta Kumar Abhay , Katiyar Shipra , Shahi Saumya , Awasthi Shreya , Katre Mandeep
Published: May 2023

Abstract: Day by day world population is growing rapidly and a huge amount of people shifting to large cities and new places for work, education or job purpose, or a better life. That is why the housing demand is increasing and house renting becoming an elemental part of our society. As a result, I realized the importance of an online house renting website and come up with a decision to implement a such web application. In this paper rental website development is discussed. Through this website, tenants can rent properties and landlords can upload their property details for rent. This website will help users to give or take rent houses without dealing with flat brokers to finally reach an agreement that suits the interests of all parties. The packaging and shifting services facility will help users to shift valuable things safely to destinations. To implement, and testing of the proposed system, this application interface has been developed using HTML, CSS, JavaScript, Bootstrap, PHP, and MySQL database server that allows for making web pages interactive and responsive. This system was developed in such a manner so that it can provide a maximum user-friendly interface, and users can use it more efficiently.
Golf Swing Analysis using Computer Vision
Authors: Patil Rahul , Nimbalkar Yash , Chavan Satyajeet , Mahajan Abhijeet
Published: May 2023

Abstract: Sports play a significant role in providing entertainment and recreational activities. As technology has advanced, video games featuring various sports and games have been developed using computer vision. In the game of golf, the golf swing is a crucial element that involves the entire body when players strike the ball. Having the correct posture is essential for a strong swing. However, beginners often struggle with identifying the keyframes they should focus on and which areas of their body they need to improve due to uneven timing and lack of expertise. To bridge this gap, this research proposes a neural network-based system for analyzing golf swings. The system utilizes monocular swing footage to offer an autonomous method for estimating the golfer's movement. Since amateur players often lack supervision during self-practice, this method can be particularly useful. The research also includes the design of an architecture that combines parts detection and parts association using image processing. By temporally aligning the swing videos, the system can estimate the golfer's pose, which can be further utilized for analysis.
Composite pine forests: botanico-geographical differences, origin, distribution
Authors:   Institute of Geography RAS, Morozova Olga , Semenishchenkov Yury ,   Bryansk State University named after I.G. Petrovsky, Beliaeva Nadezhda ,   Institute of Geography RAS, Suslova Elena ,   Lomonosov Moscow State University, Chernenkova Tatiana ,   Institute of Geography RAS
Published: May 2023

Composite pine forests with nemoral deciduous tree species (Carpinus betulus, Quercus robur, Tilia cordata) are widespread in the broad-leaved forest region of Eastern Europe. They occupy vast ancient alluvial plains with sandy and sandy loamy soils, river terraces, and along the latter they can «come» in the broad-leaved-coniferous zone. Based on the analysis of 187 relevés made in the Bryansk, Kaluga, Moscow and Smolensk Regions, the classification of composite pine forests using the Braun-Blanquet approach was carried out. As a result of the classification, two groups of communities of composite nemoral pine forests were identified. One of them is pine forests with oak and/or linden, united in the ass. Corylo avellanae–Pinetum sylvestris Bulokhov et Solomeshch 2003, the other represents nemoral-herb pine forests with a presence of spruce and some accompanying species and is assigned to the Pinus sylvestris facies of the nemoral-herb spruce forest of the ass. Rhodobryo rosei–Piceetum abietis Korotkov in Morozova et al. 2017. The participation of broad-leaved tree species in this syntaxon is small in any of the layers. Both associations belong to the class Carpino–Fagetea sylvaticae Jakucs ex Passarge 1968. On the latitudinal gradient, communities of the ass. Corylo avellanae–Pinetum sylvestris differ in the participation of oak and lime and the accompanying species, which is reflected in the identification of two subassociations: Corylo avellanae-Pinetum typicum (with oak), which is common in the zone of broad-leaved forests, and Corylo avellanae-Pinetum tilietosum cordatae (with lime) – in the southern part of the broad-leaved-coniferous forests zone. The origin of composite pine forests is debatable. Some researchers consider them as primary and quasi primary forests, and explain their formation and existence by various types of disturbances, both of anthropogenic (selective logging, anthropogenic fires, pine plantations) and natural (for example, fires) character. Disturbed composite pine forests with lower frequency of diagnostic association species and species of nemoral forest class were classified as variant Sambucus racemosa of the subass. Corylo avellanae–Pinetum typicum. Hazel pine forests with a nemoral composition and spruce in the forest stand and undergrowth (Pinus sylvestris facies of the ass. Rhodobryo rosei–Piceetum abietis) are found in the zone of broad-leaved-coniferous forests in the landscapes of moraine plains and formed in the places of planting pine cultures in the habitats of nemoral-herb spruce forests. It is difficult to assign individual communities to one or another syntaxon, especially near the border of two zones, and their differentiation is best seen when analyzing a large number of relevés.