bluuebunny/crossref_metadata_2025 huggingface dataset:
Stakeholder engagement to increase the impact of water technology case studies
Authors: Perkis A. , Mansilla W. A. , Glotzbach R. , Munaretto S. , Rubini A. , Gervasio I. , Argo A. , Venkataswamy Gowda D.
Published: February 2025

Successful uptake and acceptance of technologies and strategies for symbiotic solutions require active engagement of relevant stakeholder groups. By exchanging knowledge, developing ideas, and learning together, stakeholders contribute to innovative and sustainable water management solutions within industrial symbiosis. ULTIMATE fosters such engagement across its nine case studies (CS) through three approaches: eXtended Reality technologies for Immersive Media Experiences (IMX), Communities of Practice (CoPs), and Water-Oriented Living Labs (WOLLs). The IMX leverages a Place by Design Playbook to co-create tailored installations that represent CS experiences, augmented by synthetic overlays and gamification via an augmented reality app. CoPs, maintained as social learning systems, bring together experts and stakeholders to co-develop and support solutions. Meanwhile, WOLLs offer real-world environments to refine and test innovations, ensuring their relevance and adoption. Together, these approaches create a framework for fostering collaboration, innovation, and sustainable practices in industrial symbiosis.
Drawing up a Health Services Waste Management Plan: Strategies and Impacts
Authors: Gomes Fabiana Silva , Silva Élida Maria da , Sá Stone de , Mello Dirceu Raposo de , Martins José Luis Rodrigues
Published: February 2025

The management of Health Services Waste (HSW) is fundamental for the protection of public health and the environment. The objective of this study was to prepare a Health Services Waste Management Plan (HCWMP) for the Evangelical University of Goiás, Ceres Campus, located in the city of Ceres, Goiás, focusing on waste management strategies and reduction of environmental impact. The methodology adopted was exploratory, using the Web of Science database, which included articles from 2020 to 2024, and descriptive, analysing the waste generated at the university between August and November 2024. The results showed significant improvements after the implementation of the HCWMP, namely the creation of an exclusive room for the storage of waste, the reduction of contamination risks and compliance with legal regulations, such as CONAMA Resolution 358/05, as well as a reduction in the amount of waste distributed of up to 52% for Group A (infectious waste), 39% for Group B (chemical waste) and 9% for Group E (sharps materials). These data underline the importance of implementing the HCWMP for more efficient waste management, reducing the total volume collected and improving the separation of different types of materials. We conclude that the implementation of the HCWMP represents a significant milestone in optimising laboratory waste management, with benefits for public health and environmental protection. In this way, the HCWMP implemented at the Ceres campus has established itself as an effective model for sustainable waste management in the healthcare sector, providing an example that can be replicated in other institutions and reinforcing the importance of environmental education and training to ensure that its benefits are sustainable in the long term.
Proposta de Índice para Análise da Capacidade Estatal na Gestão de Resíduos Sólidos Urbanos
Authors: Maia Maria Clara Fernandes , Barreto Cristiane Gomes
Published: February 2025

A semelhança entre o modelo normativo de resíduos sólidos urbanos (RSU) no Brasil e em países desenvolvidos incita a pergunta: por que ocorrem resultados tão distintos para políticas tão similares? Isso aponta para as capacidades estatais e, tendo em vista a importância dos entes federativos no Brasil, é crucial considerar as habilidades do Estado no nível local. Este estudo (i) analisa a evolução da pesquisa acadêmica acerca de políticas de gestão de resíduos sólidos através de uma bibliometria, que contemplou o período de 2006 a 2021; e (ii) avalia a capacidade estatal de implementação das políticas de gestão de RSU no Distrito Federal. Para isso, foi construído um índice ponderado por uma análise multicritério, AHP, apoiada por um painel de especialistas. Os resultados apontam para uma capacidade estatal de 53,3% ─ escala de preferência crescente. Isso indica que existe margem para otimizar a implementação da Política Distrital de Resíduos Sólidos. Este trabalho propõe e aplica um índice para medir a capacidade estatal no âmbito de RSU e fornece subsídios para gestores do Distrito Federal.
Regulation and excessive regulation of social relations as factors in the development of legal anomie in society
Authors:   Togliatti State University, S. Markunin Roman
Published: February 2025

Background. A number of reasons can lead to the emergence of legal anomie as a crisis state of society, among which the excessive regulation of social relations should be highlighted. In this connection, it is necessary to develop a method of countering the regi-mentation of public life, and at the same time to propose means to combat manifestations of legal anomie. The purpose of the work is to substantiate the need for a process of reforming the current legislation aimed at overcoming legal anomy in relations between the state and society. Materials and methods. Various scientific works devoted to revealing the charac-teristic features of social and legal anomie were used. The current legislation was also ana-lyzed for the presence of regulated social relations. The main methodological method was the dialectical method of cognition. Methods were also used: formal legal, logical, compar-ative. Results. The relationship between the above paired categories has been established, which manifests itself in the possibility of transition from one state to another. The problem of the presence in the current legal system of ineffective regulation of social relations in the sphere of functioning of the state apparatus, which also leads to an increase in the legal anomy of officials and the mechanism of the state as a whole, is identified. The conse-quences of the excessive regulation of social relations are demonstrated using the example of the implementation of the institution of tax deduction. The importance of a balanced approach to the issue of excessive regulation of social relations is shown using the example of currently existing methods of legal regulation of the banking sector and entrepreneur-ship. Conclusions. The study of the problem of excessive regulation of social relations led to the conclusion about the need to constantly search for effective methods of combating manifestations of legal anomie in order to maintain a high performance indicator of the entire legal system of society.
Professional success in perceptions of student youth: sociological dimension
Authors:   Penza State University, V. Rozhkova Liliya , A. Gladilina Valeria ,   Penza State University
Published: February 2025

Background. Professional success is important component of life success. Its components are professional self-realization, career, high status, good pay, and respect from colleagues. Student youth have not yet entered the labor market, but they set themselves professional goals, undergo training in order to become a professional in their field and to achieve success in chosen professional sphere in future. The purpose of the study is to analyze perceptions of student youth about essence of professional success and factors of its achievement. Materials and methods. The study of student youth opinions about professional success is based on results of the author’s research among students of universities of Penza, Saratov (2023–2024), and data analysis of sociological research VTsIOM, FOM. Results. The essential content of “professional success” concept is considered, its components are revealed, ideas of modern students about components and factors of professional success are characterized, and influence of education on future achievement of success in professional field is analyzed. Conclusions. The core of professional success for modern students is high professionalism in work, material wealth, career, as well as authority in their professional sphere. A number of individual qualities are important for its achievement: the ability to set and achieve goals, responsibility, professionalism, competence. Modern students are more focused on the “achievement” model of economic orientations. Although higher education is not the main factor of professional success, it contributes to career growth and material well-being.
Reports of the Commissioners for the protection of the rights of entrepreneurs in the subjects of the Russian Federation and their impact on the development of legislation on entrepreneurial activity
Authors:   Penza State University, S. Plakhova Ekaterina
Published: February 2025

Background. To date, the annual report is a working tool of all Russian ombuds-men. Similarly, for the Commissioner for the Protection of the Rights of Entrepreneurs un-der the President of the Russian Federation (hereinafter referred to as the Commissioner), the annual report plays an important role in summarizing the work, identifying the prob-lems of the business community, as well as ways to solve them. The purpose of the work is a comprehensive analysis of the report of the business Ombudsman, an in-depth study of the successes and problems of regional business, theoretical and practical problems of the institute as a whole. Materials and methods. It is worth defining the concept of “reportˮ, which will be used in the article later. The report is a text and (or) graphic material on the results of the Commissioner's activities, containing an assessment of the conditions for conducting business in the Russian Federation, as well as proposals to improve the legal status of business entities in the part related to the competence of the Commissioner. It re-flects general provisions, systemic problems that have been identified or solved for several years, as well as the main provisions of the reports of regional ombudsmen. The article pre-sents key successes and achievements, as well as problems of regional business on the ex-ample of the Penza region, Samara region, Orenburg region and Nizhny Novgorod region, and also briefly touches on the republican regions, including the Republic of Dagestan. Conclusions. The author combines the positions of various legal scholars, including those studying the institutes of the Commissioner for Human Rights and the Rights of the Child. Draws conclusions about the impact of the institute on the development of legislation on entrepreneurial activity.
A model of lathe dynamic system when cutting hard-to-work materials
Authors:   Yuri Gagarin State Technical University of Saratov, A. Ignat'ev Aleksandr , G. Nasad Tat'yana ,   Yuri Gagarin State Technical University of Saratov, A. Dobryakov Vladimir ,   Yuri Gagarin State Technical University of Saratov, A. Revyakin Vladislav ,   Yuri Gagarin State Technical University of Saratov
Published: February 2025

Background. Ensuring the surface quality of critical products of aviation equipment, chemical, power engineering, transport systems for various purposes presents certain requirements for the equipment on which surface formation is carried out. Most parts, including those made of hard-to-work materials, are turned on CNC machines, which requires you to select cutting modes that provide specified values for accuracy and quality parameters. Machining modes are determined by the interaction of a specific tool-part pair and the dynamic quality of the machine. Machining on lathe machines using automation tools is a complex process that depends on the properties of the dynamic machine system. The forming process on the lathe is accompanied by vibroacoustic vibrations, the spectrum of which is quite wide and is determined by the interaction of the tool and the part, depending on the cutting force, the physical and mechanical properties of the materials of the contacting bodies, the chip formation process, friction in the cutter-part contact and other factors. The overall influence of these factors brings the oscillation spectrum of the cutting force acting on the DS closer to the oscillation spectrum of the “white noise” type. By changing the cutting modes, you can determine the values corresponding to the highest dynamic quality of the machine and the quality of processing from the characteristics of VA oscillations of the ET. Materials and methods. The Gagarin Yu.A. State Technical University has developed a method for assessing the dynamic quality of machines in various cutting modes based on the stability margin of the ET, calculated from its transfer function, identified by the autocorrelation function of VA oscillations. Cutting mode is assigned to maximum stability margin of ET at preservation of preset values of macro- and microgeometric parameters of processing quality. The method has shown high efficiency in turning hard-to-process materials, taking into account the specifics of processing. Results and conclusions. During cutting of hard-to-process materials, values of processing parameters are changed, values of coefficients a0,..., a5 in transfer function are corrected and, accordingly, stability margin of ET is changed. The above is confirmed by the experimental results of research on the cutting process on a CNC lathe. Thus, the stability margin of the ET can serve as an assessment of the dynamic quality of the machine in various cutting modes when processing different groups of hard-to-process materials.
On the parameters of a tension connection that determine the stability during assembly of thin-walled cylindrical parts
Authors:   Penza State University, E. Kurnosov Nikolay , V. Salmin Vladimir ,   Penza State University, G. Elistratova Anna ,   Penza State University
Published: February 2025

Background. The object of the study is a set of design and technological solutions that determine the stability during assembly with tension of thin-walled cylindrical parts. The subject of the study is the interrelated parameters of the actual contact area and the specific friction force. The purpose of the work is the theoretical determination of the parameters that determine the criteria for stability during assembly (using the Mises formula) and the factors that contribute to the reduction of the friction force during assembly. Materials and methods. Research of the assembly process of thin-walled cylindrical parts assembled with tension using the Mises formula. The specificity of the interaction of the connection parts during assembly is shown and the interrelated parameters of the actual contact area and friction force that affect the stability of thin-walled parts during assembly are determined. Results. The shortcomings of information in the design of thin-walled joints in terms of stability are noted, which, as a rule, lead to the complication of assembly technology. A definition of the critical contact pressure in a joint during assembly using the well-known Mises formula is proposed. The issues of assembling a joint with tension under the influence of a press and the nature of the interaction of the mating surfaces, as well as the issues of forming the actual contact area are considered. The issues of the dual nature of friction and friction force are noted. A number of design and technological solutions are given that contribute to the reduction of friction force. Conclusions. Consideration of stability during assembly of thin-walled cylindrical parts under the influence of a press allows us to note that the determining parameters of critical pressure, in addition to the geometric dimensions of the mating parts, are the actual contact area and the friction force. Control of the actual contact area without reducing operational characteristics is possible by selecting methods for processing mating surfaces. An effective method is to control the friction force, where it is possible to use various technological solutions such as introducing surfactants into the contact zone and applying ultrasonic vibrations.
A method for ensuring the integrity and availability of information in an autonomous group of uninhabitat underwater vehicles based on the integrated use of cryptocode structures and algorithm data distributions
Authors:   Krasnodar Higher Military School named after General of the Army S.M. Shtemenko, V. Snitko Egor , V. Samoylenko Dmitriy ,   Krasnodar Higher Military School named after General of the Army S.M. Shtemenko
Published: February 2025

An autonomous group of uninhabited underwater vehicles is considered, performing the function of collecting information, interpreted as a distributed data storage system (DSDS). The effectiveness of the functioning of an autonomous group of uninhabited underwater vehicles as an information system (DSDS) is expressed through the completeness and reliability of the information obtained, which, in turn, ensures confidentiality, integrity and availability. Confidentiality of information in such systems is ensured, as a rule, by means of cryptographic information protection. The integrity of information is ensured, as a rule, by control methods (hash functions) at the level of an individual element of the group and do not solve this problem for it as a whole. It is proposed to ensure the integrity and, as a consequence, accessibility of the obtained information, to consider the DSDS as a single memory system with a crypto-code information protection subsystem, which implements the function of complexifying block ciphers and error-correcting codes. The resulting cryptocode structures will ensure the integrity of information in relation to the autonomous group. In conditions of degradation of the unified memory system of the DSDS, to ensure the integrity of information, in addition to crypto-code protection, it is proposed to apply a data distribution algorithm. When forming crypto-code structures, redundancy is generated, which takes up memory resources of on-board storage devices. To reduce the level of generated redundancy, it is proposed to apply an algorithm for distributing data between elements of the data storage system. Combining various methods of secure data processing using a data distribution algorithm to form a single data array ensures the integrity of information and, as a consequence, its availability in conditions of physical loss of DSDS elements.
Overview and analysis approaches for classifying objects with a heterogeneous set of information features
Authors:   Penza State University, S. Bozhday Aleksandr , N. Gorshenin Lev ,   Penza State University
Published: February 2025

Background. Data classification is an important part of data processing. In the modern world, objects that need to be classified are often heterogeneous - they have information features of different types: numeric, textual, graphical, graph, multimedia. This study is devoted to the review and analysis of a number of existing methods for classification of objects with heterogeneous space of information features. Original approach based on the generation of raster grapho-chromatic maps was proposed. Materials and methods. In this study, the problem of neural network classification of objects with a heterogeneous space of information features is formulated, taking into account the possibility of controlling their quantitative and qualitative parameters without the need to retrain the neural network. Modern classification methods were considered and their features were analyzed. Results and conclusions. The main cons of existing methods for classifying heterogeneous objects were identified and a new approach was proposed, based on the generation of a universal graphic code, with the help of which heterogeneous features will be reduced to a single graphic representation for further neural network classification.
Fiber-optic system for measuring temperature of rigid deformable media
Authors:   Penza State University, I. Murashkina Tat'yana , A. Badeeva Elena ,   Penza State University, N. Bazykin Sergey ,   Penza State University, A. Dudorov Evgeniy ,   Penza State University, A. Badeev Vladislav ,   Penza State University
Published: February 2025

Background. Currently, during the construction of new nuclear power plants (NPP), its service life has been extended to 60 years, which requires the modernization of information and measurement systems that control many parameters of the dome of the NPP, including temperature parameters. The safety of the NPP as a whole depends on the accuracy of measuring the temperature of the cement base of the dome of the NPP. The measuring instruments used should not create additional electromagnetic interference during measurements, therefore, the use of fiber-optic measuring instruments is considered more preferable. The object of the study is a fiber-optic information and measurement system (FOIMS) of the stress-strain state of the protective shell of the NPP. The subject of the research is scientific and technical solutions of fiber-optic temperature sensors (FOTS) with a compensation channel, which are part of the nuclear power plant protective shell, installed in rigid deformable environments. The purpose of the study is to develop constructive, technological and structural solutions of the FOTS, providing the possibility of its application in rigid deformable environments with minimal dynamic error due to inertial processes in the sensor housing. Materials and methods. The main approach to achieve this goal is to adapt the previously developed technical solutions of the FOTS to the measurement conditions in rigid deformable media, which are the supporting parts of the dome of the NPP. Results. The structure is determined and the design of the FOTS with a compensation channel of the reflective type is developed. The relations between the coefficients of thermal expansion of the materials from which the structural elements of the FOTS are made, providing a reduction in the deformation of the protective housing and the sensitive element of the FOTS when the temperature changes, are determined. The initial distance between the mirror surface and the ends of the optical fibers located opposite the mirror surface, at which the sensor conversion function is linear, and the maximum sensitivity (up to 30%) and the modulation depth of the optical signal conversion (up to 50%) are determined. Conclusions. The design, technological and structural solutions of the FOTS with a reflective type compensation channel for the FOIMS of the protective shell of NPP placed in rigid deformable environments have been developed. The use of the developed fiber-optic temperature sensor will provide: reduction of internal stresses inside the deformable environment of the protective shell when its temperature changes; reduction of the dynamic error of temperature measurement; increase in the accuracy of measuring the temperature of the protective shell.
QUANTUM TECHNOLOGIES ARE A GLOBAL CHALLENGE, REQUIRING ANOTHER REVOLUTION OF METHODSPROCESSING AND TRANSMISSION OF INFORMATION
Authors:   Surgut State University, Sh. Sobirov Bezhan , T. Karamergenov Timur ,   Military Institute of Air Defense Forces named after twice Hero of the Soviet Union T.Ya. Begeldinov, A. Severtsev Nikolay ,   Federal Research Center "Informatics and Management" of the Russian Academy of Sciences (Dorodnitsyn computer center of the Russian Academy of Sciences), K. Yurkov Nikolay ,   Penza State University
Published: February 2025

Background. The relevance of the study is due to the fact that today one of the most serious fundamental challenges for technology companies is that the needs for computing power are constantly growing. The business environment is increasingly moving towards a new computing paradigm. Quantum technologies may be one of the answers to this challenge. The purpose of the study is to assess the current state of quantum computing and determine the direction of development of this area, as well as obstacles and limitations in the use of quantum technologies. Materials and methods. The empirical basis of the study was research from the AIRI Institute of Artificial Intelligence, as well as research from CaixaBank, TotalEnergies, Quantinuum, authors B.G. Ibrahimov, A.O. Orujov, A.H. Hasanov, K.M. Tahirova in the article "Research and analysis efficiency fiber optical communication lines using quantum technology". Results. The author of this study presents the main advantage of quantum computing, noting that they are based on completely different principles than traditional ones, and will use their own hardware and mathematical base. The study presents the results of research and experiments in the field of quantum computing achieved by oil companies. The work done and the experience gained made it possible to formulate the key challenges for the development of quantum computing in industrial companies. Conclusions. The practical significance of this research lies in the fact that it will allow the business community, as well as government authorities, to develop a development strategy in the new computing paradigm. Will allow companies to develop effective strategies when solving optimization problems and advanced computing architectures.
ELECTRONICALLY CONTROLLED NONLINEAR DEVICES BASED ON THE GRAPHENE PLASMONICS PLATFORM IN THE FAR AND MID-INFRARED RANGE. REVIEW
Authors:   Penza State University, S. Makeeva Galina
Published: February 2025

Background. The relevance of the topic is due to the need to master the infrared (IR) range for optical telecommunication systems, IR spectroscopy and biophotonics applications and is dictated by the needs of nonlinear IR optics for the implementation of active optical functions based on graphene, such as generation of IR radiation, frequency conversion for applications in optical communications, materials processing, precision measurements, spectroscopic sensing and biological sensors. The purpose of this work is to present the principles of construction and operation of electrically tunable nonlinear devices in the far and mid-IR range: harmonic generators and multipliers, frequency converters and mixers based on graphene metasurfaces using the latest achievements of graphene plasmonics. Materials and methods. Graphene plasmonics. Results and conclusions. The unique properties make electronically controlled nonlinear devices in the far and medium IR range a promising choice for the future nonlinear frequency converter, optical control and information processing on a graphene plasmonics board.
DEVELOPMENT OF A PROTOTYPE OF INTELLIGENT MICROCONTROLLER ARCHITECTURE WHEN IMPLEMENTING INTERNET OF THINGS APPLICATIONS
Authors:   Tambov State Technical University, T. Zyryanov Yuri , Sh. Kalkhitashvili David ,   Russian Academy of National Economy and Public Administration under the President of the Russian Federation, P. Khripunov Sergey ,   Institute of Management Problems named after V.A. Trapeznikov of Russian Academy of Sciences
Published: February 2025

Background. Within the framework of the modern paradigm of the digital transformation of society and the rapid growth of the number of digital technologies, the introduction of the Internet of things (IoT) occurs in all spheres of human life. These technologies are used in the industrial sector of the economy and in private life. The development and implementation of the Internet of Things is a paradigm that consists of the development of interconnected technical objects using various communication methods and protocols, with data transferred to a cloud center. This technology has a number of limitations: in the form of memory capacity, electrical charge and low processor efficiency. Second limitation: lack of machine learning algorithms. In this regard, new methods and engineering approaches are required to solve this problem. Purpose of the article – development of a microcontroller prototype architecture for monitoring the technical condition of information, measuring and control systems (IMS) based on the concept of the Internet of Things and machine learning algorithms for processing multi-threaded data sources. Materials and methods: the object of research is the architecture of the Internet of Things microcontroller. To solve the problem, a systematic approach method was used. Results. An intelligent microcontroller architecture has been developed using a gateway bus, as well as using MEMS technology and machine learning algorithms. Conclusions. This approach allows you to process multi-threaded data in a dynamic mode using machine learning algorithms, used in the Internet of Things paradigm to develop algorithms for monitoring the technical condition of automated control systems.
PASSENGER SUPPORT SYSTEM USING LOCATION MONITORING TECHNOLOGIES
Authors:   Moscow State Technical University of Civil Aviation, V. Egzhov Danil , A. Nadeikina Ludmila ,   Moscow State Technical University of Civil Aviation, O. Tereshko Pavel ,   Moscow State Technical University of Civil Aviation
Published: February 2025

Background. The article presents a system for monitoring the location of air passengers in the airport building, providing a service for notifying those who are late for boarding, as well as providing an effective way to quickly get to the boarding point. Materials and methods. Offering a map of the shortest route built in a mobile application. The system also provides the ability to navigate around the airport building. The passenger records the end points of the route on the map, receives the built route in the application. Results and conclusions. The proposed system improves the quality of service and passenger comfort, as well as solves a number of boarding problems, which increases the loyalty of air passengers.
METHOD OF MATHEMATICAL PROTOTYPING OF ENERGY PROCESSES AS A TOOL FOR SYNTHESIS OF THE MATHEMATICAL KERNEL OF DIGITAL TWINS OF DIFFERENT PHYSICAL AND CHEMICAL SYSTEMS
Authors:   Moscow State Technical University of Civil Aviation, E. Starostin Igor
Published: February 2025

Background. A digital twin is essentially a digital copy of an object, which, thanks to the continuous exchange of data with the object, reproduces its current state. This is achieved by using a mathematical model as the mathematical core of the digital twin, based on the real behavior of the object, the parameters of which are updated in accordance with the current information received from the object. To build models of systems of various physical and chemical natures, the authors proposed a method for mathematical prototyping of energy processes, based on the methods of modern nonequilibrium thermodynamics, mechanics, and electrodynamics. Due to this, the mentioned method provides models of the dynamics of processes in a system that do not contradict general physical laws, as well as the peculiarities of the course of processes in a specific physical or chemical system. Then the resulting models are converted to models of systems applicable to solve practical problems, up to constant coefficients determined from experimental data. However, the relevant issue here is the choice of basis in which the transformed model of the system under consideration is built and the choice of training algorithm for the proposed model. This work is devoted to solving the above questions. Matherials and methods. The synthesis of equations for the dynamics of physical and chemical processes is carried out on the basis of the method of mathematical prototyping of energy processes. Transformed models are built by qualitative analysis of the dynamics of the system in various modes of its operation, followed by analysis of the relationships between the parameters of its dynamics and the parameters of input influences with the further construction of an interpolation transformed model. Interpolation methods are selected based on the abovementioned results of qualitative analysis. Results. The proposed concept of constructing system models provides correct models of the system that incorporate its qualitative behavior. This ensures the correctness of the mathematical core of digital twins when operating systems in various operating modes of the system for which the above-mentioned digital twins are built. Conclusions. The proposed concept of the software part of digital twins has a wide range of application due to the breadth of areas of applicability of the method of mathematical prototyping of energy processes.
Maternidade no trabalho
Authors: Serpa Isabela Lovatto , Nunes Thiago Soares , Ribeiro Jurema Suely de Araújo Nery , Silva Wagner Luiz
Published: February 2025

O objetivo deste artigo é descrever os obstáculos enfrentados pelas mulheres nas organizações enquanto vivenciam a experiência da maternidade. Para isso, optou-se pela pesquisa quantitativa e descritiva, utilizando um questionário online para coleta de dados e análise descritiva. Como resultados, identificou-se que a mulher ainda continua a perceber salário inferior ao do homem; que elas têm protelado ou desistido de ser mães; que a incidência de demissão depois de findo o período de estabilidade garantido por lei aumentou; e que, geralmente, ao voltar a trabalhar, a distância entre a mãe e o bebê dificulta o aleitamento materno, interrompendo-o. Destarte, é coerente afirmar que muito tem de ser feito para minimizar esse hiato existente devido à condição de gênero e do tornar-se uma mulher mãe.
Docência em Administração:
Authors: Freitas Vanessa de
Published: February 2025

Este é um estudo qualitativo, descritivo que investigou como a docência em administração produz subjetividades por meio de um olhar ergológico. Realizou-se entrevistas semiestruturadas com a finalidade de alcançar a realidade e a maneira de fazer e pensar o trabalho dos docentes. Resultando nas categorizadas: Pesquisador-professor ou Professor-pesquisador; Docência; Subjetividades Docentes e Relação com a universidade. Constatou-se que no exercício cotidiano do trabalho há renormalizações e produção de subjetividades, em virtude do trabalho docente estar envolto em dilemas e negociações, ser uma atividade repleta de imprevisibilidade, diversidade de pessoas e expectativas, realidades e opiniões, além de ter uma necessidade constante de inovação. Por essa razão, o trabalho docente utiliza as subjetividades do indivíduo, que através de suas experiências e valores readapta o planejamento da aula, cria novos mecanismos para abranger não somente aos assuntos atuais, mas também denotar uma mentalidade nova.
iGot Garbage
Authors: Tushar  , Upadhayay Varun , Gupta Shruti , Srivastava Vartika
Published: February 2025

The current waste disposal system in India collects unsorted waste from
residences; the daily growth in garbage overwhelms the bins placed in public spaces
within towns. The process of manually sorting waste is labour-intensive, inefficient,
and only sometimes practical because of the volume of waste. Consequently, the
concept of “The Smart Waste Management System, an embedded system comprising
three smart bins with contemporary sensors, microcontroller, LCD panel, and Wi-Fi
modules,” is explained in this article. We developed a system that uses a sensor to
identify trash, opens the target trash can's lid, determines how much trash is there, and
then automatically opens and closes the lid. Upon reaching either the average or
maximum level, an alert will be transmitted.
Empirical Analysis of Face Mask Detection Using Deep Learning
Authors: Jaiswal Arunima , Kem Khushboo , Ippili Aruna , Haokip Lydia Nenghoithem , Sachdeva Nitin
Published: February 2025

Covid-19 has been highly destructive to human health across the globe. Ever
since it was discovered in 2019, the pandemic has continued to take the lives of
millions. Global efforts like wearing a face mask in public areas have led to the decline
of infection, which has given rise to many face mask detection models to ensure that
individuals are wearing their masks properly. In this paper, we aim to compare five
deep learning models for face mask detection on two different datasets namely the face
mask detection dataset (DS1) and the face mask 12k images dataset (DS2). The
different models that we have implemented are YOLOV3, YOLOV5, ResNet 50,
MobileNet V2, and VGG-16 . The results are evaluated on the grounds of precision,
recall, mean average precision (mAP), and accuracy.
Green Technology to Achieve Environmental Safety and Sufficient Development
Authors: Agarwal Tanvi , Agarwal Vinay Kumar , Kumar Santosh , Jully  , Ali Mohd. Naushad
Published: February 2025

This study centres on the concept of green technology, which has arisen as a
response to the ecological imbalance it has endured. Therefore, the preservation of the
environment has become a paramount global priority. An important factor contributing
to this phenomenon is the emergence of ecological challenges. The scope of research
on green technology includes the design, modification, and conversion of products with
the aim of achieving sustainable development. It encompasses alterations in the product
system, packaging procedure, and promotional efforts to promote environmental
awareness among consumers. The primary focus of our society at present is to attain
sustainable growth across all domains. The exploratory study examines the literature
that substantiates the utilization of green technology and sustainable development to
tackle contemporary environmental concerns. It encompasses the environmental
welfare that arises from the socioeconomic need for ecologically friendly products and
trends, which are intended to benefit both the present and future generations.
Integrating green technology with sustainable development to safeguard the
environment poses a challenging task.
Python in Finance: Introduction and Basic Strategy
Authors: Gupta Tanu , Singh Anupam , Gupta Anuja , Goel Somya
Published: February 2025

Financial/Trading markets in today’s digitalized era are being dominated by
share markets, options trading, and the forex market. These markets have a huge
underlying potential to generate income, but the analysis of these markets regarding the
trading of stocks, foreign currencies, etc, is highly dependent on luck. So, to ease the
understanding of markets, Python algorithms can be a game-changer. It tends to be
received to classify the specific and wanted data that is being covered up in tremendous
information. In this paper, we tried to evolve trading algorithms with the help of
abstraction, moving averages, and open-source Python-3 libraries, thus making the
evaluation and import of data market information more contextually aware and simpler.
A Comparative Study of Worklife Balance Trends and Challenges
Authors: Agarwal Pragya , Tomer Vipin , Mittal Himanshi , Garg Ankit
Published: February 2025

The chapter provides a concise overview of the findings from a
comprehensive survey conducted among employees in several leading corporate firms,
focusing on the implementation of progressive work-life policies and practices. These
organizations exercise different levels of authority over their employees; some enforce
strict regulations, like prohibiting the use of cell phones in the workplace, while others
adopt a more lenient and flexible approach. The study demonstrates that organizations
that effectively implement work-life programs foster a collaborative relationship
between employers and employees, resulting in beneficial outcomes for both parties.
Employees who can effectively balance their jobs and personal responsibilities
experience greater happiness and satisfaction, resulting in enhanced performance.
Additionally, these activities have the potential to enhance a company's reputation and
contribute to the retention of people.
Investigating the Trajectories of Poor Vision in Children and Adolescents in Wuhan, China From 2016 to 2019: Prospective Cohort Study
Authors: Xu Lijuan , Li Hanjia , Li Fang , Zhang Tinghui , Yan Jingyan , Yan Hong , He Lu , Yu Bin
Published: February 2025

Background

Poor vision is a challenging public health problem among children and adolescents globally and in China. It is well-recognized that early onset of poor vision and progressing to moderate and severe poor vision will increase the risk of irreversible blinding complications. To achieve the national goal of poor vision control and prevention, it is essential to investigate and understand the development of poor vision among children and adolescents in China.

Objective

This study aims to investigate the progression of poor vision among children and adolescents in Wuhan, China, based on a prospective cohort and to provide scientific evidence for the development and implementation of effective poor vision prevention and control programs.

Methods

Data were derived from a 4-year prospective cohort (2016‐2019) of primary and middle school students (N=108,585) in Wuhan, China. Vision condition was measured using the standard logarithmic visual acuity charts. A group-based trajectory model was used to identify trajectories of poor vision overall and by gender and region.

Results

The mean age of the study subjects was 11.13 (SD 3.33) years, 200,110 (53.91%) were male and the majority (354404, 95.48%) were from urban areas. The prevalence of poor vision was 58.51% in 2016, 58.95% in 2017, 53.83% in 2018, and 54.79% in 2019. Group-based trajectory model identified 3 groups, including normal vision group (NVG) (27.4%), vision decline group (VDG) (17.8%), and moderate poor vision group (MPVG) (54.8%). A higher proportion of girls (57.8%) were in the MPV group compared to boys (50.5%), and the VDG showed greater changes in girls compared to boys. Furthermore, urban students (55.3%) had a higher proportion of MPV compared to rural students (47.5%), while urban students (17.2%) had a smaller proportion in the VDG compared to rural students (24%). Further analyses showed that as age increased, the likelihood of being categorized in the NVG decreased (β=−.417, P<.001), while the likelihood of being in the VDG (β=.058, P<.001) increased. Compared with boys, girls were more likely to be categorized in the VDG (β=.597, P<.001) and MPV group (β=.362, P<.001). Rural students were less likely than urban students to be categorized in the VDG (β=−.311, P<.001).

Conclusions

The prevalence of poor vision among children and adolescents in Wuhan has remained high over the years, with a slight decrease in recent years. The study identified three groups: normal vision, vision decline, and moderate poor vision. Girls and students from urban areas were more likely to have moderate poor vision, while boys and rural students had a higher proportion of vision decline. These findings provide valuable information for implementing poor vision prevention and control policies in the region.
Traversing Shifting Sands—the Challenges of Caring for Someone With Alzheimer's Disease and the Impact on Care Partners: Social Media Content Analysis (Preprint)
Authors: Frederiksen Kristian Steen , Hahn-Pedersen Julie , Crawford Rebecca , Morrison Ross , Jeppesen Rose , Doward Lynda , Weidner Wendy
Published: February 2025

BACKGROUND

Social media data provide a valuable opportunity to explore the effects that Alzheimer disease (AD) has on care partners, including the aspects of providing care that have the greatest impacts on their lives and well-being and their priorities for their loved ones’ treatment.

OBJECTIVE

The objective of this social media review was to gain insight into the impact of caring for someone with AD, focusing particularly on impacts on psychological and emotional well-being, social functioning, daily life and ability to work, health-related quality of life, social functioning, and relationships.

METHODS

We reviewed social media posts from 4 sources—YouTube (Google), Alzheimer’s Association, Alzheimer Society of Canada, and Dementia UK—to gain insights into the impact of AD on care partners. English-language posts uploaded between May 2011 and May 2021 that discussed the impact of AD on care partners were included and analyzed thematically.

RESULTS

Of the 279 posts identified, 55 posts, shared by 70 contributors (4 people living with AD and 66 care partners or family members), met the review criteria. The top 3 reported or observed impacts of AD discussed by contributors were psychological and emotional well-being (53/70, 76%), social life and relationships (37/70, 53%), and care partner overall health-related quality of life (27/70, 39%). An important theme that emerged was the emotional distress and sadness (24/70, 34%) associated with the care partners’ experience of “living bereavement” or “anticipatory grief.” Contributors also reported impacts on care partners’ daily life (9/70, 13%) and work and employment (8/70, 11%). Care partners’ emotional distress was also exacerbated by loved ones’ AD-related symptoms (eg, altered behavior and memory loss). Caregiving had long-term consequences for care partners, including diminished personal well-being, family and personal sacrifices, loss of employment, and unanticipated financial burdens.

CONCLUSIONS

Insights from social media emphasized the psychological, emotional, professional, and financial impacts on individuals providing informal care for a person with AD and the need for improved care partner support. A comprehensive understanding of care partners’ experiences is needed to capture the true impact of AD.
Cluster-Based Predictive Modelling of User Ratings for Physical Activity Apps Using MARS Dimensions (Preprint)
Authors: Bhattacharya Ayush , Flórez-Arango José F
Published: February 2025

BACKGROUND

The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app dimensions—Engagement, Functionality, Aesthetics, and Information—that influence user satisfaction. Despite its utility, limited research has leveraged MARS dimensions to predict user ratings effectively.

OBJECTIVE

This study investigates how K Means clustering, combined with machine learning models, can predict user ratings for physical activity apps based on MARS dimensions, with the goal of forecasting ratings prior to production and uncovering insights into user satisfaction drivers.

METHODS

The dataset comprises MARS-rated physical activity apps with user ratings. Initially, exploratory data analysis provided insights into generalized patterns among MARS dimensions. K Means clustering segmented the apps into two clusters, enhancing data homogeneity. Predictive models were then applied to both the unclustered dataset and the clustered subsets, with performance evaluated based on accuracy, mean absolute error (MAE), and R-squared values. The top-performing model from each cluster was selected for combined analysis to further improve prediction reliability.

RESULTS

In the unclustered dataset, KNN achieved the highest accuracy (86.36%) with an MAE of 0.26 and R-squared of 0.06. Post-clustering, SVR achieved the highest accuracy in Cluster 1 (88.89%, MAE 0.27, R-squared 0.05), and KNN excelled in Cluster 2 (88.24%, MAE 0.28, R-squared 0.03). Combining the predictions of these models for the two clusters improved overall accuracy to 88.64%, with MAE of 0.27 and R-squared of 0.04.

CONCLUSIONS

The combined clustering and model approach enhances prediction accuracy and reveals how user satisfaction drivers vary across app types. This tailored methodology offers insights for app developers aiming to optimize apps, aligning features with distinct user needs for higher satisfaction and engagement.