bluuebunny/crossref_metadata_2025 huggingface dataset:
Finite Element Analysis and Weight Optimization of Knuckle joint for different Materials by using CAE Tools
Authors:   Research Scholar, Dept. of Mechanical Engineering, FCEM Faridabad, India, Rizwan Sheikh Mahammad
Published: May 2024

The current study involved the analysis of a knuckle joint using finite elements. A mechanical joint with two intersecting cylindrical rods whose axes are in the same plane is called a knuckle joint. Knuckle joint should be designed and manufactured in such a way that it can sustain more load without failure. The objective of the present study is to study knuckle joints made of different materials like aluminum, stainless steel, structural steel, magnesium, and gray cast iron using CAE tools. The CAD model of knuckle joint is made in CATIA V5 R20. The finite element analysis of this CAD model using ANSYS 15 has been carried out to investigate maximum stress and deformation. The CAE results compared with the analytical results using conventional approach. The CAE results have been found close to the analytical results, thus validating the model. The knuckle joint of aluminum is found to have highest factor of safety (1.641) at 50 KN load and is the most the most suitable material for knuckle joint. Weight of vehicle plays an important role in overall performance and fuel efficiency of vehicle. Knuckle joint is a part of vehicle. Hence weight optimization of knuckle joint made of aluminum has been performed using ANSYS 15 and it is observed that weight of knuckle joint made of aluminum can be reduced by 5.08% for 50 KN loading condition. Key Words: Knuckle joint, Finite element analysis, Mechanical joint, Load-bearing capacity, Material selection, CAE tools, Deformation analysis etc.
A Study of Financial Planning on Young Individuals in Delhi NCR
Authors:   School of Business, Galgotias University, Gautam Neeraj
Published: May 2024

This research paper investigates the significance of financial planning for young individuals in achieving long-term financial security and stability. With the increasing complexity of the financial landscape and the challenges posed by economic uncertainties, effective financial planning is indispensable for the younger generation. The paper examines various strategies and tools available for young individuals to manage their finances prudently, including budgeting, saving, investing, and debt management. Additionally, it explores the role of financial education and literacy in empowering young people to make informed decisions about their finances. Through a comprehensive review of existing literature and case studies, this paper highlights the importance of early financial planning in building wealth, mitigating risks, and achieving financial goals. Furthermore, it discusses the potential barriers and challenges faced by young individuals in implementing financial plans, such as student loans, low income, and lack of knowledge. Finally, the paper offers practical recommendations and actionable insights for young individuals to enhance their financial well-being and lay a strong foundation for a secure financial future. Monetary items function as a venture route, providing the financial supporters with the predefined monetary security and upholding the monetary items' gamble return profile. In the past traditionally, In India, banks (credit and store accounts), the Life Insurance Corporation (LIC), and the Post Office (repeating shop, National Saving Certificate, Kisan Vikas Patra) all displayed financial products. However, in recent times, as the financial services sector has advanced, new financial products have been introduced, including common stocks, shares, subordinates, annuity plans, children's education plans, life and non-extra security plans (Unit Linked Investment Plans, or ULIPs), common assets, and shares. Each person behaves differently when contributing, therefore each has a different predisposition towards speculation. A private person's investment behavior is influenced by his own circumstances. With the presumption of producing yields people invest in a few financial goods with the hope of earning sizable returns over time and with varying degrees of risk. The goal of the current analysis is to examine how salaried individuals speculate about financial goods that are supported by various segment elements.
Review of AI-driven Cloud Optimization
Authors:   School of Computer Science And Information Technology Jain (Deemed-to be University), J Anurag
Published: May 2024

Cloud automation is the key to realization a fully-optimized performance of modern cloud platforms while cloud resources utilization. Resource allocation efficiency is valuable. We are however faced with increasing pressure for computational resources. The Long Short-Term Memory (LSTM) algorithms have found a great use case in the dynamic resource allocation problem when the problem is solved by the proactive provisioning of resources based on historical usage patterns taking advantage of recurrent neural networks. Furthermore, the concern over quality-of-service delivery (QoS) and energy efficiency is now almost as challenging for cloud providers when implementing the utilization of cloud resources, especially in a dynamic setting. Deep Reinforcement Learning (DRL) allows to pursue that end by developing agents, which might guide the work of optimizing resource allocation and reducing energy expenses at the same time. It improves the result and adaptability of the applications running on clouds. Artificial intelligence, in its diverse form, for the instance machine learning and optimization algorithms, brings in a great influence in the areas of cloud operations, resource management, and security. Furthermore, the 3rd generation of FPGAs (Reconfigurable Digital Computing-In-Memory or ReDCIM processors) and the bitwise parallelism via-memory core multipliers also improve the efficiency of computing in cloud environments. Adopting these inputting methodologies is a consequence of cloud systems achieving top performance, high scalability, and low costing. Keywords - Cloud Automation, Long Short-Term Memory (LSTM) algorithms, Deep Reinforcement Learning (DRL), Reconfigurable Digital Computing-In-Memory (ReDCIM) processors, Resource sAllocation, Energy Efficiency.
Improved LSB Based Image Steganography Using Linked Pixel Technique: A Linked-List Inspired Approach
Authors:   UG student of Department of Computer Science & Engineering, Shri Ramswaroop Memorial College of Engineering and Management, Lucknow., Dwivedi Vibhash
Published: May 2024

Image steganography is the art of hiding data into images. Secret data such as messages, audio, images can be hidden inside the cover image. This is mainly achieved by hiding the data into the LSB (Least Significant Bit) of the image pixels. To improve the security of steganography, this paper introduces LPS (Least Significant Bit Plane Steganography), a novel approach inspired by linked lists, which diverges from traditional LSB techniques. LPS utilizes the LSB of each channel to encode both data and pointers to subsequent pixels, creating a linked-list-like structure within the image. Keywords: Steganography, LSB, Information hiding, Linked Pixel Steganography
Implementation and Evaluation of SIMD Instructions using RISC-V
Authors:   1Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering,, V Prof.Jaswanth
Published: May 2024

This thesis introduces and explores the design and verification of a packed Single Instruction, Multiple Data (SIMD) instruction set for a RISC-V processor, known as the RISC-V P extension. This extension enhances the RISC-V instruction set architecture by providing packed SIMD support for 8-bit, 16-bit, and 32-bit integer data types. The significance of this architecture lies in its potential to empower developers in constructing more efficient and powerful data-parallel programs for RISC-V processors. This contribution enhances the overall capabilities of the RISC-V ecosystem, providing a valuable extension to the instruction set architecture for data-parallel applications. Keywords: Data-parallel Programs, instruction set architecture, RISC-V, P extension, Packed SIMD
TIME MANAGEMENT APPLICATION
Authors: Satrasala Aadhya
Published: May 2024

In today's fast-paced society, effective time management has become increasingly critical for personal and professional success. This research paper explores the transformative potential of technology-driven solutions in optimizing time utilization and enhancing productivity. The paper introduces a cutting-edge time management application designed to empower users in managing their schedules, tasks, and priorities efficiently. Leveraging intuitive data visualization, smart algorithms, and personalized suggestions, the application represents a paradigm shift in how individuals approach their daily routines. Through a comprehensive suite of features, including interactive calendars, task lists, and detailed reports, users can streamline their commitments, identify time sinks, and make informed decisions to improve their productivity. The research examines the impact of the application on users' time management skills and overall well-being, highlighting its role in fostering a more fulfilling and successful lifestyle. By harnessing technology to optimize productivity and provide actionable insights, the application exemplifies a new era of personalized time management solutions, empowering individuals to take control of their time and accomplish more with their lives.
TRAFFIC PULSE-ROADWAY CONTROL SYSTEM
Authors: K S, Indu
Published: May 2024

Rapid transit and transportation networks are essential to any country's economic progress. Long wait times, lost fuel, and financial losses are the outcomes of poor management and traffic congestion. For the sake of national development, a quick, affordable, and effective traffic control system is thus absolutely essential. In many nations, keeping an eye on and managing urban traffic is turning into a significant issue. The Traffic Monitoring Authority needs to come up with innovative ways to solve this issue because there are more and more cars on the road. Using automation and intelligent control techniques is one option to enhance the current transportation system's traffic flow and safety. Efficient and quick congestion relief is the aim. The project includes sound sensors that can recognize emergency cars as they approach in order to improve emergency vehicle detection. By prioritizing and streamlining emergency vehicle traffic at signalized junctions, this cutting-edge feature seeks to enhance overall traffic management and response times. Additionally, the concept has a novel element for pedestrian safety: when a signal changes from red to orange or orange to green, a dynamically triggered block is deployed. By erecting a barrier that guarantees pedestrians are securely clear of traffic before crossing, this creative solution seeks to improve pedestrian safety. Keywords: Traffic jams, traffic surveillance, automation, and clever control techniques, Changes in signals, sound sensors, emergency vehicle detection, quicker reaction times, barriers, and pedestrian safety.
Revolutionizing Finance: The Unleashing Power of Artificial Intelligence in the Banking Sector
Authors: Gupta Mr. Rahul
Published: May 2024

In the ever-evolving landscape of the financial sector, the integration of Artificial Intelligence (AI) has emerged as a transformative force, reshaping traditional banking practices and fostering unprecedented innovation. As the digital era unfolds, banks are navigating the intricate realms of AI to enhance efficiency, customer experience, risk management, and decision-making processes. This paper delves into the profound impact of artificial intelligence on the banking sector, unravelling the complexities and unveiling the vast potential that lies within this symbiotic relationship.
Automated System for Waste Segmentation and Disposal
Authors: P Amal Khan
Published: May 2024

This paper provides a brief an overview of the expanding waste management issue and the necessity of effective waste separation and disposal systems is given in this paper. This demonstrates the difficulties with conventional waste management techniques and the significance of appropriate waste segregation in reducing environmental effect. The effective separation of garbage into three categories—dry, metallic, and wet—is the specific goal of this endeavour. The system uses three important sensors—a moisture sensor, a metallic sensor, and an infrared (IR) sensor—to do this. Every sensor is essential to the detection of the waste that it is designed to detect. The system facilitates proper disposal by automatically opening the corresponding bin when garbage is detected. The integration of the Blink software, which enables easy control of trash separation and disposal using an Android phone, is one noteworthy aspect of this project. Key Words: IR Sensor, Moisture sensor, Metallic Sensor, Blink App
Deciphering Determinants for Adoption of E-Mobility
Authors: R. Mishra Ms. Bhavya
Published: May 2024

lectric vehicles represent a paradigm shift in transportation, offering a clean, quiet, and environmentally friendly mode of travel. India, as a significant market for electric vehicles, aims to become a predominantly electric vehicle-driven nation by 2030, marking a remarkable endeavor toward sustainability. The global automotive landscape reflects a growing trend towards electric mobility, with nearly every major manufacturer incorporating electric vehicles into their product lineup. This widespread acceptance underscores the increasing demand for eco-friendly transportation options worldwide. Governments worldwide have implemented various policies to promote electric mobility, with encouraging results. However, achieving India's ambitious goal requires a comprehensive policy framework aimed at phasing out fuel run vehicles and incentivizing the adoption of electric vehicles. To expedite the transition, policies should discourage the further proliferation of traditional gas vehicles while introducing initiatives to facilitate the widespread acceptance of electric vehicles. This includes the implementation of schemes to make electric vehicles more accessible and appealing to consumers. While the journey towards widespread adoption of electric vehicles is ambitious and challenging, with concerted policy efforts, it is indeed achievable. The implementation of effective policies and incentives is crucial in realizing India's vision of becoming an electric vehicle-centric nation by 2030. This paper aims to provide a comprehensive review of the factors influencing consumer acceptance of electric vehicles. By synthesizing existing literature and empirical research, the study seeks to shed light on the socio-economic, psychological, and technological determinants that shape consumer attitudes and behaviors towards EV adoption. Key words: E-vehicle, e-mobility, Consumer Attitude, Psychological Factors, Charging infrastructure.
An IoT system based on open APIs and geolocation for the prevention of human health disorders
Authors: Klochko Oksana V. , Fedorets Vasyl M.
Published: May 2024

The article presents a study devoted to improving the developed Internet of Things system based on open APIs and geolocation, which is aimed at analyzing data about the state of the environment using an expert approach and data visualization for possible prevention of human health disorders. Based on the developed Internet of Things system, open APIs, geolocation using intelligent gadgets, and the Meteorological Geographic Information System, the study generates a message about the danger to human health associated with meteorological factors. Accordingly, a person is informed promptly about potential risks and threats, particularly about the presence of pollen in the air, indicating the level of its concentration in the air, and about problems with air quality. What is the “anthropo-geo-sensory-digital” prerequisite for making effective real-time decisions to prevent human health disorders? New features were added to the developed system to analyze data about potential risks and threats that could lead to human health disorders, in particular, about the presence of temperature problems, under the condition that this indicator goes beyond the normative and optimal zone; the presence of relative humidity problems, under the condition that this indicator go beyond the normative and optimal zone; the presence of wind speed problems, if the air wind speed exceeds the permissible standards. Effective decision-making based on providing timely information about potential risks and threats to human health, in addition to preventive, has significant methodological and technological potential that can be used to improve the effectiveness of health care, both in extreme conditions and in conditions of sustainable existence. The system developed and improved by us can also be considered as one of the ways of introducing innovations in health care, the IT field, the educational process in institutions of higher education and conducting further research in this field, in particular, in the direction of data processing in health care systems based on machine learning.
For whom does the dawn bell toll? The factors of effectiveness of spatial development projects using the example of South Korea's Saemaul movement
Authors: Gladkikh N. , Kim E.
Published: May 2024

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A Symphony of Three Thousand Voices. Interview with Sumita Ghose, Founder of the Social Enterprise rangSutra
Authors: Gladkikh N.
Published: May 2024

“People of Impact” is the name of the column where we publish inspiring stories about people who have made significant changes in the lives of communities, regions, and even countries. In this issue, we want to introduce you to Sumita Ghose, an Indian woman entrepreneur whose social business unites artisan investors and collaborates with the world’s largest corporations. Sumita has been honored with the highest award granted by the President of India for her contributions to women’s rights and empowerment.
Hybrid Artificial Intelligence Approach to COVID-19 Diagnosis from CT Images: Deep Networks and Classification Analysis
Authors: Horoz Muhammed Alperen , Arslan Tuncer Seda , Danacı Çağla
Published: May 2024

Using lung images obtained by computed tomography (CT), this study aims to detect coronavirus (Covid-19) disease with deep learning (DL) techniques. The study included 751 lung CT images from 118 Covid-19 patients and 628 lung CT images from 100 healthy individuals. In total, 70% of the 1379 images were used for training and 30% for testing. In the study, two different methods were proposed on the same dataset. In the first method, the images were trained on AlexNet, VGG-16, VGG-19, GoogleNet and a proposed network. The performance metrics obtained from the five networks were compared and it was observed that the proposed network achieved the highest accuracy value with 95.61%. In the second method, the images were trained on VGG-16, VGG-19, DenseNet-121, ResNet-50 and MobileNet networks. Among the image features obtained from each of these networks, the best 1000 features were selected by Principal Component Analysis (PCA). The best 1000 features were classified with Random Forest (RF) and Support Vector Machines (SVM). According to the classification results, the best 1000 features selected from the features extracted by the VGG-16 and MobileNet networks were obtained with the highest accuracy rate of 93.94% using SVM. It is thought that this study can be a helpful tool in the diagnosis of Covid-19 disease while reducing time and labor costs with the use of artificial intelligence (AI).
Factors Impacting Employment Opportunities and Outcomes for Individuals with Disabilities in Nepal
Authors: Poudel Prasanna , Acharya Ujjal , Ranjit Yogesh
Published: May 2024

This study was undertaken to analyze the factors impacting employment opportunities and outcomes of People with disabilities (PWDs). Also, to measure the satisfaction level of employed PWDs on their current work. The study has collected the required information and data from 200 PWDs using a purposive sampling method. Logistics regression analysis was carried out to analyze the factors impacting employment opportunities and outcomes of PWDs. Likert scale analysis was carried out to measure the satisfaction level of employed PWDs with their current work. The study found that the age at which disability onset, marital status, family size, years of schooling, severity, and access to assistive devices had a significant association with employment of PWDs. Fewer employed PWDs (7.7%) had permanent work status. However, most of the employed PWDs were satisfied with their current work. The family support and level of education of PWDs were the major predictors of employment. The study recommends providing counselling services to the families of PWDs along with sensitizing concerned stakeholders to improve the well-being and participation of PWDs.
Traditional Chinese Medicine Culture, Senior Tourism and Elderly Care Industry: Analysis and Discussion on the Integrated Development Under the Background of Big Health
Authors: Yingjie Xia , Huayao Xia
Published: May 2024

In the era of the rise of the concept of Big Health, traditional Chinese medicine culture, senior tourism and elderly care industry show a trend of integration. Combining traditional Chinese medicine health and ecological tourism, a new form of business is taking shape in the elderly care industry, which is the "cross-border" cooperation between traditional Chinese medicine and tourism. This paper sought to analyze the integrated development and potential of traditional Chinese medicine culture, senior tourism and elderly care industry; discuss the realistic dilemma of the integrated development under the background of big health. This Thesis makes an in-depth study on the standardization degree and influence of the integration of traditional Chinese medicine culture and Senior Tourism and Elderly Care Industry through literature review method, and reveals the problems and challenges in the current traditional Chinese medicine culture and Senior Tourism and Elderly Care Industry .The feasibility of traditional Chinese medicine culture and Senior Tourism and Elderly Care Industry was studied in depth by means of various evaluation indicators and sample survey.
A Study on the Correlation Between the Participation of Flipped Classroom and the Pleasure and Boredom of Non-English Majors in Foreign Language Classroom
Authors: Weiqian Xiao , Jingran Liang , Jiake Yao
Published: May 2024

In recent years, in order to improve the shortcomings of traditional classrooms, the flipped classroom model has been widely implemented in foreign language teaching. This paper discusses the pleasure and boredom of non-English majors in the flipped classroom in the foreign language classroom. Based on the "broaden-build" theory and the "control-value" theory, 243 non-English majors were studied by questionnaire and interview. It is found that (a) Non-English majors’ acceptance of the foreign language classroom under the flipped classroom model is generally high. (b) The flipped classroom model is conducive to improving the participation of non-English majors in foreign language classrooms. (c) Non-English major college students are generally more enjoyable and less bored in the foreign language classroom under the flipped classroom model. (d) The emotions of non-English majors in the foreign language classroom under the flipped classroom model are influenced by many factors such as teachers’ enthusiasm, utilitarian psychology and autonomous learning ability. The results of the study can provide useful enlightenment for the teaching side to improve the flipped classroom teaching model.
Investigation of Three Body Abrasive Wear Behavior of Micro-Nano Sized Iron Ore Pieces on Bronze
Authors: Uğur Abdullah , Erdoğdu Ahmet Emrah , Demirsöz Recep
Published: May 2024

In In this work, the three-body abrasive wear of bronze (C86200) in pig cart transmissions was examined. Micro-nano-sized ore particles were introduced to the lubricating media during the Ball-on-flat test to represent three-body abrasive wear. Load shear rate and lubricating medium were useful research inputs. Outputs included examining sample surfaces, mass loss, friction coefficient, and trace depth. Taguchi, ANOVA, and RSM were used to analyze experimental data. The most effective parameter for all outputs was the load value, with a rate of 55.76 percent, while the speed had the lowest influence on mass loss, at 9.74 percent. The regression model fits these results well.
La maqueta funcional, instrumento de metodología activa de enseñanza en tiempos de pandemia
Authors: Vásquez Manuel Antonio
Published: May 2024

El objetivo de la investigación fue determinar la percepción de los estudiantes respecto a un curso práctico desarrollado bajo la metodología activa de enseñanza-aprendizaje, en un contexto de pandemia por la covid-19. El método utilizado fue una investigación no experimental, de enfoque cuantitativo, con la aplicación de un cuestionario sobre percepción de clases recibidas bajo el enfoque del Aprendizaje Basado en Proyectos. La población estuvo conformada por 24 estudiantes matriculados en el curso; se empleó a la totalidad de la población (muestra censal). Los criterios evaluados fueron: metodología empleada, material didáctico, desempeño docente y logros de aprendizaje. Los resultados demostraron que el 56,5% de estudiantes consideró que la aplicación de metodologías activas cubrió regularmente sus expectativas para el proceso de aprendizaje; en cuanto a la valoración del material didáctico empleado, 69,7 % lo consideró adecuado; sobre desempeño docente ante dudas y consultas, 47,8% lo considero excelente; finalmente, en torno al aprendizaje logrado al finalizar el curso, 60,8% calificó como bueno. Se concluyó que la mayoría de los estudiantes valora positivamente el empleo de la metodología activa en el desarrollo de clases, considerándolo como una herramienta para consolidar los conocimientos adquiridos. Se recomendaría la adaptación del material didáctico con una mejor planificación de las actividades a desarrollar.
Historical View of the Political Role of Delhi Sultanates in the Punjab
Authors: Ali Yasir , Abida Ali  , Ali Safdar
Published: May 2024

This article explores the history of the Punjab region during the Sultanate period, a time when Muslim rulers established their authority over the region. It examines the political, social, and cultural developments that occurred during this era, which lasted from the 13th to the 16th centuries. The article focuses on the various dynasties that ruled over Punjab during this period, including the Ghurids, the Mamluks, the Khiljis, the Tughlaqs, and the Lodis. It discusses the impact of these dynasties on the region's economy, trade, and urbanization, as well as the growth of religious and cultural institutions. The article also examines the impact of the Sultanate period on the region's people, including the impact on gender roles, social hierarchy, and religious practices. Overall, the article provides a comprehensive overview of Punjab's history during the Sultanate period, highlighting the key political and cultural changes that shaped the region during this time.
Investigating the Relationship between Compulsive Smartphone Use and Impulsive Buying: Role of Self-Control
Authors: Rasool Ayesha , Sidra Farooq
Published: May 2024

In contemporary research, there is a growing concern about the addictive nature of smartphone usage, particularly among young consumers, and its impact on consumers' social activities and overall welfare. In this context, a significant concern is the impact of compulsive Smartphone use on impulsive buying. The current study examines the relationship between compulsive smart phone use and impulsive buying. Moreover, the present study aims to investigate the mediating role of self-control in this relationship. For this purpose, we executed an empirical study comprising 200 participants. The data were collected via the convenience sampling method. We used SPSS for the analysis of potential links. The findings indicated that compulsive Smart phone use positively correlates to impulsive buying, and there is a significant negative association between self-control and impulsive buying. Mediation analysis through SPSS is executed to analyze the mediating role of self-control using Andrew F. Hayes model 4, and results indicate that self-control fully mediates the relationship between compulsive smartphone use and impulsive buying. Moreover, exploring the study's demographic variables, we found that impulsive buying is more prevalent among the upper and lower socioeconomic classes.
Computational analysis of 16D10 effector peptides from root-knot nematodes and their interaction with Mi resistance (R) protein through molecular docking
Authors: Zahoor Adil , Niaz Zeenat , Tahir-ul-Qamar Muhammad , Hawamda Abdalmenem I. M.
Published: May 2024

Plant-parasitic nematodes, especially root-knot nematodes (RKNs), pose significant threats to global agriculture, affecting both the quantity and quality of crop yields. Central to the parasitism strategy of RKNs is the deployment of effector proteins, such as the 16D10 peptide, which interact with host plant resistance mechanisms. This study focuses on the computational analysis and molecular docking of 16D10 effector peptides derived from major RKN species (M. incognita, M. arenaria, M. hapla, M. javanica, and M. chitwoodi) to explore their interaction with the Mi resistance protein in tomatoes. Initial bioinformatics assessments included sequence retrieval, multiple sequence alignment, and phylogenetic analysis, utilizing tools such as CLUSTALW and the MEME Suite. Notably, our phylogenetic analysis revealed a close evolutionary relationship between M. incognita and M. chitwoodi, contrasting with other RKN species based on both DNA and protein data. Subsequent, in silico 3D modeling and docking studies, conducted using Chem-Sketch and MOE software, provided insights into the structural basis of the interaction between 16D10 peptides and the Mi protein. Our findings indicate that these interactions could play a crucial role in the modulation of plant defense mechanisms, potentially leading to effector-triggered susceptibility (ETS). This study not only enhances our understanding of nematode-host interactions but also aids in the development of novel strategies for managing RKN infections in economically important crops.
THE ROLE OF THEATER IN ENHANCING CULTURAL IDENTITY IN THE MIDDLE EAST
Authors:   Babil Governorate Education Directorate Ministry of Education, Iraq, Abed Murtadha Atewa
Published: May 2024

The impact of theater on Middle Eastern cultural identity formation and enhancement is the focus of this research. This study delves into how theater has played a significant role in reflecting, building, and negotiating cultural identities in different Middle Eastern societies through an extensive examination of current theatrical plays. Case studies of well-known theatrical productions and interviews with creatives involved in making these plays are all part of the qualitative methodology used in this study. To round out the analysis, secondary sources are examined to shed light on the political and historical factors that shaped the region's theatrical expression. The research points to the theater in the Middle East performing arts as a place for cultural preservation and education, a platform for political commentary, and a reflection of social issues. This study sheds light on concrete instances where theater has directly impacted public discourse and helped people reconnect with their cultural heritage. These instances primarily occur in nations undergoing social transition or conflict. Topics and styles of theatrical expression are frequently influenced by the difficulties encountered by regional theater practitioners, such as censorship and inadequate funding. Despite all these obstacles, the conclusion argues that theater is still an essential part of Middle Eastern culture, providing a potent arena for affirming and reimagining cultural identities. The study emphasizes the importance of cultural policy, giving the arts, and theater in particular, more credit for their positive effects on social cohesiveness and cultural identity.
Migración internacional cualificada y residentes temporales, ¿el avance definitivo de la gentrificación en El Raval?
Authors: Mazorra Rodríguez Álvaro , López-Gay Antonio
Published: May 2024

Las transformaciones sociodemográficas asociadas a la gentrificación en algunos barrios de ciudades del sur de Europa están adoptando nuevos rasgos, impulsados por la migración internacional cualificada, la elevada transitoriedad de la nueva población residente y la expansión del turismo urbano. Barcelona, como foco turístico y centro de atracción para la economía del conocimiento, es un ejemplo destacado de estos procesos en los que se entrelazan diversas dinámicas. En este contexto emerge el caso de El Raval, un barrio en el que la sombra de la gentrificación sobrevuela desde hace más de dos décadas, aunque los indicadores sociodemográficos no han acabado de corroborar este proceso de forma inequívoca y general.En este trabajo profundizamos en las dinámicas sociodemográficas más recientes de El Raval a través de los movimientos residenciales y migratorios. Los resultados constatan que, a mediados de la década de 2010, se produjo un importante punto de inflexión en la transformación sociodemográfica del barrio de la mano de la creciente llegada de población extranjera con perfiles educativos y profesionales elevados y un fuerte carácter transitorio. Además, gran parte de la población desplazada también es de origen extranjero y se ve abocada a experimentar trayectorias residenciales especialmente precarias e inestables. La marcha de los grupos de bajos ingresos y su sustitución por profesionales cualificados de origen extranjero está convirtiendo El Raval en un caso emblemático de los procesos de gentrificación transnacional de las ciudades globales del sur de Europa.
Distrofia muscular de Duchenne: uma revisão narrativa
Authors: Bonfante Brenna Gabriela , Bucco Stefani , Pinculini Ana Paula Gonçalves , Habermann Maria Aparecida Marques
Published: May 2024

A Distrofia Muscular de Duchenne (DMD) é uma condição genética progressiva e heterogênea, caracterizada primordialmente pela degradação da força muscular, resultando em incapacidade de locomoção e, eventualmente, comprometimento dos músculos respiratórios e cardíacos. Conhecida pela sua ligação ao cromossomo X, afeta majoritariamente indivíduos do sexo masculino e mulheres com Síndrome de Turner, devido à sua transmissão recessiva ligada ao X. Este estudo tem como objetivo principal definir a Distrofia Muscular de Duchenne, identificando e descrevendo sua fisiopatologia, características clínicas, métodos de diagnóstico, opções de tratamento e o impacto desta doença na vida dos pacientes, por meio de uma revisão narrativa. A DMD é notória por iniciar seus sintomas na primeira infância, progressivamente levando a frequentes quedas, dificuldades para levantar-se do chão e a necessidade de uso de cadeira de rodas. Além das manifestações musculoesqueléticas, a doença pode envolver complicações respiratórias e cardíacas severas. O diagnóstico precoce e o manejo multidisciplinar são fundamentais para melhorar a qualidade de vida e prolongar a sobrevida dos pacientes com DMD, apesar da ausência de uma cura definitiva.
O trabalho humaniza ou desumaniza? Notas sobre as relações entre o trabalho e a sociedade capitalista
Authors: Barbosa Marianne Sousa , Arruda José Nilton Conserva de
Published: May 2024

A reflexão que se segue, tem como objetivo demonstrar as principais alterações que foram ocorrendo na sociedade capitalista em sintonia com os paradigmas produtivos dominantes. Assim, discutimos a relação do trabalho, que envolvem homens e mulheres, e a sociedade desde as concepções clássicas da Sociologia, de forma clara e objetiva; passando pelas interpretações de estudiosos da Sociologia do Trabalho e Industrial, com vistas a construir um fio condutor que nos permita identificar como as relações e condições de trabalho foram se deteriorando ao longo dos séculos. O texto foi construído a partir de pesquisa bibliográfica e exploratória, com o objetivo de construir uma análise, introdutória, da percepção e concepção da noção de trabalho ao longo do tempo, através das contribuições de categorias de pensamento e autores da Sociologia clássica e contemporânea, mais especificamente, aqueles consagrados na área da Sociologia do Trabalho. Tal reflexão tem como objetivo demonstrar como a noção de trabalho foi sendo alterada ao longo dos séculos, nos ajudando a perceber que os conceitos são como “corpos vivos”, em constante transformação.
Physiological quality of sunflower seeds under water stressed conditions
Authors: Santos João Rafael Prudêncio dos , David Andréia Márcia Santos de Souza , Custodio Debora Cristina Santos , Borges Janaína Beatriz , Ribeiro Regina Cássia Ferreira , Amaro Hugo Tiago Ribeiro , Freitas Hemilly Kariny Cardoso , Barbosa Rodrigo Silva , Santos Helena Souza Nascimento , Silva Bruno Soares da
Published: May 2024

Water is one of the factors that most influences the seed germination process; however, its excess can cause injuries to cell membranes due to rapid imbibition. On the other hand, water restriction limits seed germination, promoting a reduction in cell water potential that disrupts physiological and metabolic reactions. Thus, the objective of this study was to evaluate the physiological quality of sunflower seeds subjected to water stress induced by polyethylene glycol 6000 (PEG 6000). The experimental design used was completely randomized, consisting of six treatments consisting of osmotic potentials (0; -0.3; -0.6; -0.9; -1.2; and -1.5 MPa) simulated with aqueous solutions of PEG 6000. Germination, radicle protrusion, first count, germination speed index, abnormal seedlings, shoot length, and root length were evaluated. Water stress induced by PEG 6000 solutions affects the physiological quality of sunflower seeds, being proportional to the reduction of osmotic potential. Germination and seed vigor decrease under water stress conditions from an osmotic potential of -0.4 MPa, with the most negative potentials (-1.2 and -1.5 MPa) preventing seed germination.
Efeito dos diversos tênis de corrida no desempenho e na prevenção de lesões em corredores de meia-maratona e maratona
Authors: Lima Vitor Rodrigues Pacheco de , Cavalcante Diego Vinícius Duarte , Borges José Alex Almeira , Andrade Samanta Gomes Lima de , Silva Taís Feitosa da
Published: May 2024

A corrida de rua vem ganhando cada vez mais adeptos e com isso as marcas investem em tecnologias que prometem melhorar o desempenho e evitar lesões. A partir disso, o objetivo deste estudo é identificar quais os efeitos do calçado de corrida no desempenho e na prevenção de lesões em corredores de meia-maratona e maratona. Para isso, foi feita uma revisão integrativa da literatura, na qual foram analisados 16 artigos originais, em língua portuguesa, utilizando os descritores: Corrida de longa distância, desempenho, lesão, economia da corrida e tênis. Os artigos incluídos foram dos últimos 10 anos, além de avaliarem corredores amadores de longas distâncias com idade entre 18 e 40 anos. Dos artigos encontrados, 4 falam sobre a análise das tecnologias na corrida; 9 abordam o tema: corrida e lesões; 1 estudou sobre a escolha dos calçados e lesões e 2 analisaram os calçados. Em conclusão, percebeu-se que os atletas são influenciados pelas marcas e grandes atletas da modalidade. Além disso, não foram observadas diferenças significativas no ganho de desempenho relacionadas ao tênis, e sim características físicas, como a altura, percentual de gordura e o peso. O que se encontrou foi uma melhor economia de energia e amortecimento utilizando um tênis com maior entressola. No que diz respeito às lesões, elas têm aumentado entre os corredores, e os fatores observados foram: idade, gênero e características antropométricas, do treino e do tênis.  Além de ocasionar entorse de tornozelo, favorecidas pela instabilidade do calçado.
Busca ativa como estratégia de combate à violência doméstica e familiar contra a mulher
Authors: Rego Silvia Andréia Pedroso do , Rodrigues Alexandre Manuel Lopes , Netto Roberto Magno Reis , Miranda Wando Dias , Santos Jorge Fabrício dos
Published: May 2024

Esta pesquisa se propôs a verificar a possibilidade de adoção da estratégia de Busca Ativa por órgãos do Estado, que vão interagir entre si e em conjunto com a sociedade, com o objetivo de identificar, conscientizar e resgatar mulheres em situação de violência doméstica e familiar, com foco naquelas que nunca comunicaram as agressões, visando prevenir ou reprimir esse tipo de delito. O trabalho adotou uma abordagem qualitativa, prevendo uma proposta concreta de adoção da estratégia no campo da segurança, que iniciou com a conceituação de busca ativa e definição de suas principais características e, sequencialmente, a instrumentalização da possibilidade de aplicação deste instituto no campo analisado. Como resultados, propôs-se a realização da busca ativa em locais propícios à identificação de mulheres em situação de risco e vulnerabilidade, que não tenham denunciado seus agressores, sob um misto de medidas educativas e de ações concretas, estabelecendo-se estruturas e procedimentos apropriados para a defesa de mulheres em situação de violência doméstica e familiar.
Relação entre trabalho, saúde e adoecimento mental: uma revisão narrativa
Authors: Soares Juliana Pontes , Macedo Maria Ravanielly Batista de , Simão Maria Letícia da Silva , Fonseca Lara Alice Lopes , Cândido Gabriela Maria Dutra , Oliveira Rayza Régia Medeiros dos Santos de , Jácome Priscila Aparecida Dantas Lourenço , Dantas Janmilli da Costa
Published: May 2024

O trabalho é caracterizado como uma atividade complexa, que pode ser desenvolvido de forma individual ou coletiva. Quando relacionado à saúde, o trabalho não pode ser considerado como algo neutro, visto que, dependendo da forma de organização, pode favorecer o adoecimento ou a saúde de quem o desenvolve. Esse estudo teve como objetivo realizar uma revisão narrativa para investigar a relação existente entre trabalho, saúde e adoecimento mental. Trata-se de um estudo qualitativo do tipo revisão narrativa. Os dados foram coletados no período de 10 a 30 de abril de 2023, por meio das bases LILACS, PUBMED, CINAHL, SCOPUS e BVS, utilizando os seguintes descritores: “Mental Health”, “Saúde Mental”, “Saúde Ocupacional”, “Occupational Health”, “Trabalho”, “Work”, “Transtornos Mentais”, “Mental Disorders”, “Saúde”. O trabalho pode ser considerado como um importante Determinante Social de Saúde e encontra-se inserido dentre os fatores relacionados ao contexto socioeconômico e político, que atuam como determinantes estruturais da desigualdade em saúde. Temáticas que envolvem os transtornos mentais relacionados ao trabalho estão em evidência nos estudos, por isso, busca-se compreender de que forma o trabalho influencia na saúde dos trabalhadores, como os transtornos mentais se desenvolvem e quais intervenções podem ser implementadas para resolução da problemática. Os resultados revelam que os profissionais de saúde apresentaram níveis elevados transtornos mentais que foram potencializados no contexto da pandemia de COVID-19. O estudo mostra a estreita relação entre trabalho, saúde e adoecimento mental e destaca que o período pandêmico trouxe consequências à saúde física e mental dos profissionais de saúde.
Avaliação do desempenho motor, da autopercepção de competência e do desempenho escolar de crianças com indicativo de Transtorno do Desenvolvimento da Coordenação
Authors: Reis Yasmim Barbosa dos , Costa Rafaela Zortéa Fernandes , Silva Carla Cristiane , Medina-Papst Josiane
Published: May 2024

Para estudar o Transtorno do Desenvolvimento da Coordenação (TDC) é importante investigar o desempenho dessa população em diferentes áreas para a proposição de práticas e intervenções para o enfrentamento das suas dificuldades. O objetivo do estudo é avaliar o desempenho motor, a autopercepção de competência motora e o desempenho acadêmico de crianças indicadas por professores de Educação Física com indicativo de TDC. Foram avaliadas 78 crianças, das quais entraram para as análises 27 crianças caracterizadas com TDC, 19 na zona de risco e 16 com desenvolvimento típico. Para a avaliação motora, utilizou-se o Movement Assessment Battery for Children (MABC-2) e o Test of Gross Motor Development - 3 (TGMD-3). Para a autopercepção de competência utilizou-se o Pictorial Scale of Perceived Movement Skill Competence (PMSC) e para o desempenho acadêmico o Teste de Desempenho Escolar (TDE). Os resultados indicaram que o grupo com TDC teve um desempenho motor inferior, especialmente em destreza manual e habilidades com bola, e enfrentou maiores dificuldades na escrita acadêmica. Não houve diferenças significativas no desempenho geral acadêmico entre os grupos. Na autopercepção da competência motora, o grupo TDC apresentou uma maior heterogeneidade. Conclui-se que os professores de Educação Física podem ter um papel fundamental na identificação precoce e intervenção para crianças com TDC. Deve-se considerar a influência do contexto socioeconômico nas oportunidades de práticas motoras das crianças, e a alta variabilidade no comportamento das crianças com TDC destaca a necessidade de mais estudos para compreender melhor suas características e necessidades.
O PROGRAMA DE RESIDÊNCIA PEDAGÓGICA EM ARTES VISUAIS – RELAÇÕES ENTRE ESCOLA, UNIVERSIDADE E ESPAÇOS CULTURAIS
Authors: Azevedo Isadora Gonçalves de , Silva Maria Cristina da Rosa Fonseca da
Published: May 2024

Apresentamos, neste relato, uma breve explanação acerca da atuação de cinco residentes do Programa de Residência Pedagógica – PRP/UDESC/CAPES (Universidade do Estado de Santa Catarina – Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), subprojeto Arte, na escola estadual de ensino fundamental em que a autora atua como professora de artes visuais e preceptora – Escola de Educação Básica Porto do Rio Tavares, em Florianópolis, Santa Catarina. O programa está orientado sob a perspectiva da Pedagogia Histórico-Crítica, de autoria do professor Demerval Saviani. O relato está centrado no segundo módulo do edital nº24/2022, que ocorreu entre março e agosto de 2023. Além das cinco propostas desenvolvidas em sala de aula, realizamos um conjunto de saídas de estudos envolvendo também as turmas que não estavam diretamente sob a atuação das licenciandas, no intuito de aproximar as relações estabelecidas entre escola e universidade, bem como com museus e espaços culturais da cidade. Destacamos a ampliação de repertório em arte e em educação de todos os envolvidos neste processo, desde os estudantes da educação básica, até os profissionais da escola e demais instituições participantes, das residentes e da professora/preceptora.