bluuebunny/crossref_metadata_2025 huggingface dataset:
Dare To Donate Application (An E-Blood Bank System)
Authors:   Assistant professor, Computer Science Engineering (Artificial Intelligence and Machine Learning) Department, Vidyavardhaka College of Engineering, L Kavana Kumari
Published: May 2024

Dare To Donate application is a comprehensive online platform aimed at optimizing blood donation processes by prioritizing the referral of active blood donors and conducting thorough analyses of donor data. This system focuses on improving the efficiency of blood donation networks to ensure a consistent and sustainable blood supply for healthcare institutions. Its key feature involves a user-friendly interface allowing potential donors to register and create profiles, providing essential information on blood type, availability, and willingness to donate. Intelligent algorithms match donor profiles with real-time blood demand, facilitating targeted referral notifications. The system also integrates advanced analytics tools to comprehensively analyse donor data, including tracking donation histories, identifying supply and demand trends, and generating insights into active donor demographics. These analytical capabilities empower blood banks and healthcare authorities to make informed decisions, strategize donation campaigns, and optimize resource allocation for better emergency preparedness. In summary, the E-Blood Bank System serves as a platform for connecting active blood donors with those in need, offering critical insights through data analysis to enhance the efficiency and sustainability of blood donation networks, ultimately contributing to saving lives and improving healthcare outcomes. This collaborative approach enhances coordination during emergencies and enables a swift response to fluctuating blood demands, thereby saving valuable time and potentially lives. In conclusion, the E-Blood Bank System represents a paradigm shift in blood donation management, harnessing the power of technology and data analytics to revolutionize the way blood supply is managed. By fostering a culture of continuous improvement and innovation, it promises to address the evolving challenges faced by blood banks and contribute significantly to the advancement of healthcare delivery systems worldwide. Key Words: blood donation, demographics, active donors, analytics, sustainability, healthcare outcomes, evolving challenges, blood supply.
Air Handwriting using AI and ML
Authors:   Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India, Patil Prof.Shital
Published: May 2024

Air-writing refers to virtually writing linguistic characters through hand gestures in three dimensional space with six degrees of freedom. In this paper a generic video camera dependent convolutional neural network (CNN) based air-writing framework has been proposed. Gestures are performed using a marker of fixed color in front of a generic video camera followed by color based segmentation to identify the marker and track the trajectory of marker tip. A pre-trained CNN is then used to classify the gesture. The recognition accuracy is further improved using transfer learning with the newly acquired data. The performance of the system varies greatly on the illumi nation condition due to color based segmentation. In a less fluctuating illumination condition the system is able to recognize isolated unistroke numerals of multiple languages. The proposed framework achieved 97.7recognition rate in person inde pendent evaluation over English, Bengali and Devanagari numerals, respectively. Object tracking is considered as an important task within the field of Computer Vision. The invention of faster computers, availability of inexpensive and good quality video cameras and demands of automated video analysis has given popularity to object tracking techniques. Generally, video analysis procedure has three major steps: firstly, detecting of the object, secondly tracking its movement from frame to frame and lastly analysing the behaviour of that object. For object tracking, four different issues are taken into account; selection of suitable object representation, feature selection for tracking, object detection and object tracking. In real world, Object tracking algorithms are the primarily part of different applications such as: automatic surveillance, video indexing and vehicle navigation etc. The generated text can also be used for various purposes, such as sending messages, emails, etc. It will be a powerful means of communication for the deaf. It is an effective communication method that reduces mobile and laptop usage by eliminating the need to write. Key Words: Air Writing, Character Recognition, Object Detection, Real-Time Gesture Control System, Computer Vision , Hand tracking.
‘4 D Printing’ in Dentistry, A Paradigm Shift! - A Narrative Review
Authors:   Post Graduate Diploma Student, Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, A.P., India., K Bhanu Prasad
Published: May 2024

4D printing promises evolutionary changes in the field of dentistry in the near future. The medical field has achieved extraordinary results with 4D printed devices. In 2015, a medical team in Michigan was able to save 3 babies with customized patient-specific respiratory implants [1] The extension was extended to produce new stimuli-responsive, adaptive cardiovascular stents and targeted drug delivery systems. 4D Bioprinting for Grafts, Scaffolds, Organs and Implants[2]In vitro studies of cardiovascular implants have shown promise[3] A successful smart material has demonstrated its potential for use as a vascular graft. University of Missouri Research Group[4]. It is well known in the field of dentistry that the use of 4D printing is not far away, as each dental specialty has its own potential and endless applications. The use of nanomaterials in 4D printing can develop dental materials with improved mechanical properties [5] Just like the dynamic oral environment, restorative materials could also become dynamic, allowing them to change shape according to oral stimuli, resulting in a reduction of microleakage and protruding fillings [6 ]Certainly due to the self-folding of smart materials, prostheses can be made using them to contact bone during resorption without recharging. Shape memory metals have taken over the current technology of rotor instruments for root canal instrumentation procedures. The possible use of 4D printing in implants could prove effective because the stress is distributed equally at the implant site. [6] Traditional implants are made of hard materials that cause fatigue damage, while PEEK (polyether ether ketone) / CHAP (calcium hydroxyapatite) polymer implants have a higher modulus of elasticity that distributes stress evenly across the implants. the force is concentrated at the tip. In addition, biomaterials can also be added to implants as support structures to promote cell proliferation. [7,8]
Hair & Scalp Disease Detection Using Machine Learning & Image Processing
Authors:   Department of Electronics & Communication Engineering  Priyadarshini College of Engineering, Wakpaijan Ankit
Published: May 2024

This study predicts hair disorders and provides tailored therapeutic suggestions using a deep learning model based on the VGG (Visual Geometry Group) architecture. A common dermatological problem, hair diseases can have a big impact on a person's physical and mental well-being. Early and accurate diagnosis as well as tailored treatment recommendations are essential for effective management. Inspired by the VGG design, we built a convolutional neural network (CNN) model in this study to analyze images of hair and scalp conditions. The model was trained using a vast and diverse set of images depicting various hair and scalp conditions. Transfer learning was used to modify the pre-trained VGG model so that it could recognize particular characteristics associated with particular hair issues. The prediction model consistently and reliably recognized a variety of hair problems that included dandruff, fungal infections, and alopecia. Reduction of false-positive and false negative outcomes in diagnosing diseases is dependent on high sensitivity and specificity. The suggested AI-based system has the potential to transform the dermatology field by providing prompt and accurate diagnosis of hair diseases and customized treatment recommendations. This study contributes to the ongoing efforts to use artificial intelligence and deep learning to improve healthcare outcomes, especially in the dermatology and skincare domains. Key Words: Convolutional Neural Network (CNN), Deep Learning, Hair Disorders, Visual Geometry Group (VGG).
Unveiling Financial Literacy: Perspectives from Individuals and the Global Stage
Authors:   Kalinga University Naya Raipur, Chhattisgarh, Sharma, Vansh
Published: May 2024

In recent years, there has been a developing emphasis on exploring and assessing Financial literacy and its broader ramifications. However, much of this research has tended to focus on vulnerable population sub-groups, often overlooking more affluent segments of society. To establish a sustainable financial system, it's essential to extend financial literacy efforts to all individuals, including those who are educated and capable of disseminating financial information. This paper aims to offer a comprehensive perspective on the importance of financial literacy from a global standpoint and the determinants that influence an individual's level of financial education. Financial literacy is increasingly recognized as a key skill necessary for navigating today's complex financial landscape. It encompasses understanding concepts such as budgeting, saving, investing, and managing debt. Moreover, it involves the ability to critically evaluate financial products and make informed decisions about personal finances. Despite its importance, financial literacy levels vary widely among individuals and across different demographics. Factors such as education, income level, age, and cultural background can significantly influence one's financial literacy. For instance, individuals with higher levels of education generally exhibit greater financial literacy due to their exposure to financial concepts and resources. However, merely possessing a high level of education does not guarantee financial literacy. Other factors, such as personal experiences, family upbringing, and access to financial education resources, also play crucial roles. Furthermore, societal and cultural norms regarding money management can shape an individual's financial attitudes and behaviors. In light of these complexities, efforts to enhance financial education must be inclusive and holistic. This entails providing accessible and relevant financial education to individuals across all demographics, including those who may not traditionally be considered at risk. By empowering people with the knowledge and skills to make sound financial decisions, we can contribute to building a more resilient and equitable financial system for the future. KEY WORDS Financial Literacy, Importance, Determinants, Vulnerable Populations, Affluent Segments, Sustainable System, Education, Dissemination, Global Perspective, Navigating
A Finance Managing Application
Authors:   IIMT COLLEGE OF ENGINEERING GREATER NOIDA ,201310, KHAN “FINOVA” FARZAAN
Published: May 2024

In today's fast-paced and dynamic world, managing your finances has never been more critical. Whether you're an individual striving to achieve your personal financial goals or a business owner navigating the complexities of financial management, FINOVA is here to simplify the way you handle your finances. With FINOVA, you can take charge of your financial future, gain a clear understanding of your financial situation, and make informed decisions to achieve your financial goals. Say goodbye to financial stress and uncertainty and welcome a brighter, financially secure tomorrow with FINOVA.
Diseases Predictor using Machine Learning
Authors:   IIMT COLLEGE OF ENGINEERING GREATER NOIDA ,201310, Singh, Pardeep
Published: May 2024

For disease management and treatment to be successful in the healthcare industry, prompt and correct diagnosis is crucial. The potential for creating intelligent disease prediction systems has greatly increased with the use of machine learning techniques. This study describes Project Ailment Analysis, a Python-based disease prediction program that makes use of the Naive Bayes, Decision Tree, and Random Forest machine learning methods. This project's primary objective is to identify the most likely illness from the patient's records and symptoms. The system seeks to optimize the diagnosis process and assist medical practitioners in making well-informed decisions by leveraging the power of these algorithms. The article discusses the rationale behind the project, presents a literature review of related work, describes the objectives, the proposed approach, and the implemented algorithms. Furthermore, the methodology, implementation details and future scope of the project are discussed and concluded with a summary of the research findings.
A STUDY ON ADOPTION OF GREEN PRACTICES AMONG THE STAFF MEMBERS OF HEI'S OF THE NORTH MAHARASHTRA REGION
Authors:   G H Raisoni University, Amravati                             KCES’s IMR, Jalgaon,  Maharashtra., Pande Mr. Amol P.
Published: May 2024

Today, not only the business organization and industries concern about the environment but also the Educational especially Higher Educational Institutes also worry to save the environment. By implementing Green Practices in the HEI’s institutes and colleges will help to achieve the Environmental Sustainability which is the major concern of the today’s world. The study focuses on the awareness of the staff members of the HEI’s of the North Maharashtra Region about Green Practices. The study also concentrates on staff members of the HEI’s of the North Maharashtra Region are how much concern with adoption of Green Practices in the Campus. The study also focuses on a relationship between awareness about Green Practices and the Gender of the staff members of the HEI’s of North Maharashtra Region. The study also enhance the existing form of the knowledge on a relationship between adoption of Green Practices and the Gender of the staff members of the HEI’s of North Maharashtra Region. Keywords: Green Practices, Green Employee, Environment Sustainability.
SECURED PAYMENT ON BLOCKCHAIN FOR OUTSOURCING SERVICES IN CLOUD COMPUTING
Authors:   Guru Nanak Institutions Technical Campus, Hyderabad, Sutrawe Ms.Rajashree
Published: May 2024

Cloud computing has revolutionized outsourcing services, yet concerns about online payment security and mutual distrust persist. Existing solutions often rely on trusted third parties, limiting their applicability. To address this, we introduce BPay, a novel framework leveraging blockchain technology to enable a payment system that is both secure and equitable.for outsourcing services without intermediaries. We introduce the system framework, adversary model, and objectives of BPay, emphasizing its compatibility with Bitcoin and Ethereum blockchains. Security and compatibility analyses demonstrate BPay's robustness and efficiency. Cloud computing has revolutionized the manner in which outsourcing services are delivered and accessed, offering unprecedented scalability, flexibility, and cost-effectiveness. However, despite its numerous benefits, concerns about the security of online payments and the lack of trust between users and service providers continue to pose significant challenges. Traditional payment systems often rely on trusted third parties to facilitate transactions, which can introduce vulnerabilities and increase the risk of fraud or data breaches. These limitations hinder the broader adoption of cloud computing in various industries and applications. Keywords:efficient fair payment, blockchain-based technology,RSA algorithm,public key private key,security,Encryption-decryption
EXPLORATION AND COMPARISON BETWEEN REGULAR CONCRETE AND CONCRETE WITH MINERAL ADDITIVES
Authors:   Kalinga University Raipur, Agrawal Dr. Swati
Published: May 2024

Concrete is a fundamental building material with critical properties such as durability, strength, and versatility. In recent years, there has been increasing interest in enhancing concrete performance and sustainability by incorporating mineral additives such as fly ash, slag, and silica fume. This study explores and compares the characteristics of regular concrete and concrete with mineral additives to evaluate their suitability for various construction applications. The research focuses on the mechanical properties, durability, and environmental impacts of both types of concrete. Laboratory tests will be conducted to compare the compressive strength, tensile strength, resistance to freeze-thaw cycles, chemical attacks, and workability of regular concrete and concrete with mineral additives. Additionally, life cycle assessments will be performed to analyze the environmental implications of using mineral additives in concrete production. One of the main advantages of mineral additives is their potential to improve the strength and durability of concrete. Fly ash, slag, and silica fume have been shown to enhance long-term strength, reduce permeability, and increase resistance to chemical attacks in concrete mixtures. Furthermore, using mineral additives can reduce the reliance on cement, a primary component of concrete with a significant carbon footprint, leading to reduced greenhouse gas emissions and resource depletion. Index Terms – Concrete, Mineral additives, Durability, Strength.
Resilience and Vulnerability: Examining the Impact of COVID-19 Outbreaks on Indians
Authors:   School of Finance & Commerce  Galgotias University, KASHYAP UJJAWAL
Published: May 2024

Even though the COVID-19 pandemic in India may have passed its height in 2023, it is still having a major effect on the country's population, economy, and healthcare system. After surviving the first wave, the public health system must now contend with the prospect of sustained pressure on its resources and workforce. Due to peak-time overcrowding, non-COVID illnesses may have gone undiagnosed or untreated. Because the pandemic hit low-income areas and informal labourers the hardest, socioeconomic gaps became wider. Many fell more into poverty as a result of lockdowns, company closures, and job losses. A possible fall in GDP and investment is one of the long-term effects that are just now becoming apparent. Anxieties about mental health also rose to the forefront. Anxiety, despair, and other mental health problems spiked during the lockdowns, social isolation, and virus dread. The road to complete recuperation will certainly be lengthy and need ongoing endeavours to fortify the healthcare system, tackle socioeconomic disparities, and offer mental health assistance to the populace; but, India has achieved progress in limiting the virus's spread. Keywords: COVID-19, India, Public Health, Long-Term Impact, Socioeconomic Disparity, Mental Health
Water Quality Analysis Through Satellite Images
Authors:   Department of Computer Science and Engineering,  Chandigarh University, Mohali, Punjab, Verma Tushar S
Published: May 2024

This project report presents a comprehensive study on water quality analysis using satellite images. The increasing global demand for water resources and the growing impact of human activities on water ecosystems underscore the need for efficient and scalable methods for water quality assessment. Leveraging remote sensing technology, particularly satellite imagery, provides a promising solution for monitoring large water bodies at a regional and global scale. The project focuses on the development and implementation of a robust methodology for water quality analysis through the utilization of satellite images. Key objectives include the extraction of relevant water quality indicators such as turbidity, chlorophyll-a concentration, and dissolved organic matter. Image processing techniques, including spectral analysis and machine learning algorithms, are employed to derive quantitative information from satellite data. The study employs a multi-sensor approach, utilizing data from various satellite platforms, to enhance the accuracy and reliability of the water quality assessments. Additionally, ground truth data collected from in situ measurements and laboratory analysis are integrated into the analysis to validate and calibrate the remote sensing results. The project contributes to the advancement of remote sensing applications in environmental monitoring, providing a cost-effective and timely method for water quality assessment. The findings of this research have implications for water resource management, environmental conservation, and policy formulation. Furthermore, the developed methodology can be applied to monitor changes in water quality over time, supporting sustainable water resource management practices. The report concludes with recommendations for further research and the potential integration of the developed methodology into existing water quality monitoring systems. Overall, the project highlights the significance of satellite-based approaches in addressing contemporary challenges related to water quality on a global scale.
WOMEN SAFETY DEVICE
Authors:   UG Student of VVIET, Department of electrical and electronics engineering, Mysore, Karnataka., K N R Suhas
Published: May 2024

India which sees itself as a promising super power and an economic hub, is still trapped in the clutches of various patriarchal evils like molestations, dowry, crime against women, worst among all is rape. In today’s world, women safety has become a major issue as they can’t step out of their house at any given time due to fear of physical/sexual abuse and violence. The atrocities against the women can be now brought to an end with the help of a Women Safety Device. This device sensing the emergency situation and fetches the current location of woman and sends it to emergency contacts via GSM module and also a shock giver circuit which is intended to hurt the attacking the person, due to which there is a chance for the women to escape. Keywords: Women Safety, Emergency, Alerting, Self-defence.
Örgütlerde Bilgi Paylaşımı Üzerine Kavramsal Bir İnceleme
Authors: Atilla Gaye , Parmaksız Öznur
Published: May 2024

Bilgi, örgütler için oynadığı kritik rol nedeniyle yöneticilerin odağındaki yerini almıştır. Bilginin, paylaşılarak çoğaltılabilir ve tekrar kullanılabilir olması nedeniyle kesintisiz bir rekabet avantajı sağladığı bilinmektedir. Bilgi paylaşımı, çalışanların örgüt genelinde deneyimlerini, becerilerini ve bilgilerini paylaştıkları sosyal bir etkileşim olarak kabul edilmektedir. Paylaşılan bilgi, yaratıcılık ve öğrenmenin gelişmesi yoluyla inovasyonda ve birey ve örgütün performansında artış sağlar. Ayrıca açık ve örtük bilgi paylaşımı ile çalışanların neyin nasıl yapılacağına dair yetkinliklerinin artmasıyla iş süreçlerinin verimliliğinde artışlar görülür. Bilginin paylaşılarak örgütler için değerli hale gelmesi için etkin bilgi yönetimi önem taşır. Buradan hareketle, çalışanların ve yöneticilerin sahip olduğu bilginin gücünden yararlanmasına olanak tanıyacak yolları aydınlatmak ve bilgi paylaşımının örgütler için önemini vurgulamak amacıyla bu çalışma yapılmıştır. Bu doğrultuda çalışmada öncelikle bilgi ve bilgi yönetimi konularına değinilmiş ardından bilgi paylaşımı kavramı tanıtılmıştır. Bilgi paylaşımını kolaylaştıran faktörler ve bilgi paylaşımını ölçmek için kullanılan ölçekler tartışılmış, bilgi paylaşımını engelleyen faktörler ile bilgi paylaşımının sonuçları ele alınmıştır.
Exploring linguistics landscapes in Depok City Square Park
Authors: Supriatnoko Supriatnoko
Published: May 2024

This research aims to explore the language use and cultural symbols in public spaces in Depok City Square Park, West Java Province. The research raised the issue of language signs and cultural symbols in Depok City Square Park. This research uses a qualitative approach. It uses the observation method through photography techniques. The photo taken serves as image data. Photos are classified into five taxonomies of Spolsky and Cooper (1991) signs, namely road signs, advertising signs, information signs, warning and prohibition signs, and warning signs. Data were analyzed using a Linguistic Landscapes approach. From the data analysis, the conclusion is obtained: Depok City Square Parks is open: Tuesday to Friday at 07.00 am-17.00 pm. Saturday and Sunday at 06.00 am to 18.00 pm, the park equips a children’s playgound, BMX Area, sports fields and park benches. The language signs displayed in the park area are in the form of writing and text accompanied by pictures. Writing words, phrases and sentences complies with Indonesian language rules; The Depok City Government conveyed messages to visitors in the form of warnings and prohibitons. Linguistic Landscapes tends to use monolingual Indonesian. Betawi cultural symbols can be found in the area of this park called Gigi Balang.
Linguistic Strategy in Online Digital Communication: A Pragmatic Study
Authors: AlMamoory (Ph.D.) Prof. Dr. Salih Mahdi Adai , Al- Khazaali Assist. Lecturer Teejan Waheed
Published: May 2024

This study pragmatically examines the linguistic strategies used in online digital communication. It is crucial to comprehend how humans create meaning, navigate goals, and communicate social behaviour in digital time due to the rapid expansion of online platforms and interactions. The study aims to highlight the significant role of linguistic strategies in online digital communication, and identify the different strategies in online communication with different intended meanings, and analyze the selected online digital communication according to the pragmatic theory. This study uses the theoretical framework of pragmatics to explore the pragmatic characteristics, purposes, and consequences of language tactics in online digital communication. The study utilizes a qualitative theoretical framework by collecting accurate data from real online platforms and channels and using pragmatic analysis tools to transcribe the data. The study explores how meaning is constructed and negotiated, focusing on the pragmatic elements of linguistic tactics such as implicature and politeness by adopting the practical theories of Searle's (1979) Speech Act Theory and Gricean's Theory of Implicature and Cooperative Principle (1975). As a result, the study finds that language techniques differ across various digital communication platforms and emphasizes context's influence on online conversation. The results enhance our comprehension of how people develop linguistic techniques in online digital communication and have consequences for successful communication, social engagement, and digital literacy in modern digital settings.
Yulduz: A Chronicle Illuminating the Journey of Uzbek Culture in Afghanistan
Authors: Hamdard Hasamuddin
Published: May 2024

The Uzbek people have a long-standing presence in the geographical region that is now known as Afghanistan. The establishment of present-day Afghanistan commenced in 1747. The Uzbeks, who have resided in this region since this specific time, were unable to avail themselves of the state's authority to safeguard their language and literature. In contrast, the prevailing governmental authority has exerted numerous forms of coercion and hindrance. The growing individual and social dissent among Uzbeks since the 1960s started to yield results as the current conditions became somewhat favorable. These findings were initially observed in concise radio broadcasts and occasional broadcasts in Dari.In 1978, a novel technique was introduced, and however its application was restricted to a small number of poems. The "Yulduz" newspaper, which started publication during this time, became the sole officially acknowledged periodical of the Afghan Uzbeks for duration of 12 years. The "Yulduz" newspaper has assumed a significant undertaking in this regard. Consequently, it holds a significant position in the affections and creative endeavors of the Afghanistan Uzbeks.
Experience with sedation and analgesia in a tertiary care hospital pediatric emergency department
Authors: Rodríguez del Rosario Silvia , Goez Sanz Carmen , Carranza Ferrer Jorge , Ortega Vicente Elena , Justo Vaquero Patricia , Izquierdo Herrero Elsa
Published: May 2024

INTRODUCCIÓN. La mayor conciencia sobre el dolor hace que, en la mayoría de los servicios de urgencias pediátricas (SUP), se hayan creado protocolos de sedoanalgesia para mejorar la calidad de atención y manejo terapéutico. El objetivo de este estudio es conocer las características de uso de la sedonanalgesia en un SUP. MATERIALES Y MÉTODOS. Se realizó estudio observacional de cohortes en pacientes < 14 años atendidos en urgencias que precisaron sedoanalgesia entre los meses de marzo de 2015 y marzo de 2020. Se analizaron variables demográficas, procedimiento el que se usó esta técnica, fármacos utlizados, nivel de dolor, grado de ansiedad y tiempos de estancia en urgencias. RESULTADOS. Se analizaron 483 pacientes. El 68,5% (n = 331) eran varones. El 50% fueron menores de 5 años. El procedimiento que requirió sedoanalgesia con mayor frecuencia fue la reducción de fracturas (30,7%, n = 149). Por edad, destaca su uso en punciones lumbares en < 1 año (47,36%, n = 18), reparación de heridas entre 1 y 5 años (33,05%, n = 78), y para reducción de fracturas en > 5 años (48,57%, n = 102). El fármaco más empleado fue midazolam (48,1%, n = 233), mayoritariamente en combinación con fentanilo (78,5%, n = 183), siendo la vía intranasal de elección (61,8%, n = 144). Se observaron diferencias estadísticamente significativas (p < 0,001) en la reducción del grado de dolor y ansiedad. La mayoría de los pacientes no presentaron efectos secundarios precoces (86,2% n = 418) ni tardíos (94%, n = 457). Finalmente, el coeficiente de correlación entre el grado de satisfacción de padres y sanitarios fue de 0,883 (p < 0,001). CONCLUSIÓN. El empleo de sedoanalgesia en procedimientos diagnóstico-terapéuticos en urgencias pediátricas es eficaz en la disminución del grado de dolor y ansiedad. El escaso número de efectos secundarios permite realizarlo por pediatras, favoreciendo el alta precoz.
Differences in emergency department care for patients with exacerbated acute chronic obstructive pulmonary disease according to level of care: Phase 1 in a study of COPD care in the emergency services of Castile-León
Authors: Alonso Avilés Raúl , Macías García Soraya , Elescano Barrientos Klaus Pedro , Heredia Moldes Sara , De Diego Arnaiz Mónica , Vicario Jiménez Noelia , Santos Orus Mónica Loreto , Zalama Sánchez Daniel
Published: May 2024

OBJETIVO. Evaluar si existen diferencias en la atención de pacientes con exacerbación EPOC (enfermedad pulmonar obstructiva crónica) atendidos en los servicios de urgencias hospitalarias de la red SACYL, según nivel asistencial. MATERIA Y MÉTODOS. Análisis secundario de la base de datos de la FASE I del Proyecto EPOC URG CyL que compara los 14 SUH SACYL según nivel asistencial y rango universitario durante el año 2021. Se realizó un análisis uni y bivariante de todas las variables continuas, con la prueba de Fisher/ Kruskal-Wallis para conocer la asociación de la variable continua y la de clasificación, considerando significativo una p-valor < 0,05. RESULTADOS. Existieron diferencias significativas según nivel asistencial respecto al número de urgencias atendidas durante el año 2021 y el número de ingresos en planta desde urgencias por exacerbación EPOC (p-valor 0,01 y 0,03 respectivamente), pero no hubo diferencias a la hora de atender pacientes con exacerbación en los 14 SUH SACYL (p-valor 0,43), tiempo medio de ingreso en días por EA EPOC (p-valor 0,80) e ingreso en observación (p-valor 0,13). CONCLUSIONES. No existen diferencias significativas en la atención de exacerbación EPOC en los SUH SACYL según nivel asistencial, a pesar de que existen variabilidades que dependen del centro al que acuda el paciente, nivel asistencial, geografía y disponibilidad de medios. Se requiere una mejor organización tanto a nivel interno como externo, en beneficio del paciente atendido en los servicios de urgencias hospitalarias de SACYL.
Entrevista com o professor Dr. Tiago Fávero de Oliveira
Authors: Oliveira Tiago Fávero de
Published: May 2024

Tiago Fávero de Oliveira é doutor em Políticas Públicas e Formação Humana pela Universidade do Estado do Rio de Janeiro; e mestre em Gestão e Avaliação da Educação Pública do CAED - Centro de Políticas Públicas e Avaliação da Educação da Universidade Federal de Juiz de Fora - MG. É professor de ensino básico, técnico e tecnológico do IF Sudeste MG, Campus Santos Dumont.
Estratégias de polidez usadas em diálogos entre professores e alunos em situações corriqueiras de comunicação via plataformas virtuais
Authors: Souza Teciene Cássia de , Ragi Taísa Rita , Mesquita Lucimara Grando
Published: May 2024

Em toda forma de comunicação entre sujeitos é possível notar o uso de estratégias de polidez como uma forma de harmonizar as relações sociais. Nesse sentido, este trabalho tem como objetivo refletir sobre as interações sociais presentes nas plataformas virtuais, verificando as estratégias de polidez utilizadas em conversas entre professor e aluno. Para tal, realizamos uma pesquisa teórica acerca das estratégias de polidez e, somando à pesquisa teórica, apresentamos uma análise de conversas selecionadas entre professor e alunos através de plataformas virtuais. À vista disso, os resultados desta pesquisa apontaram que a interação entre professor e aluno acontece, na maioria das vezes, mediada por algumas das estratégias de polidez, visando a proteção da face, tanto do locutor quanto do interlocutor.
Variação lexical para acessório de cabelo
Authors: Nascimento Carina Sampaio , Paim Marcela Moura Torres
Published: May 2024

Neste artigo, desenvolveu-se uma investigação lexical, tomando como base dados do corpus do Projeto Atlas Linguístico do Brasil (ALiB), que é um intento de amplitude nacional, na área da Dialetologia e que tem como método a Geolinguística Pluridimensional, que se sustenta em um tripé básico, definido por Cardoso (2010, p. 89), como rede de pontos, informantes e questionários. Selecionou-se uma rede com as localidades do Nordeste brasileiro, utilizou-se uma pergunta, do Questionário Semântico-Lexical – QSL, a 192, “como se chama um objeto fino de metal, para prender o cabelo? Mostrar grampo (com pressão)/ramona/misse” (Comitê Nacional, 2001, p. 37). Contou-se com a contribuição de informantes, estratificados, por sexo, faixa etária e nível de escolaridade. As denominações encontradas, como, por exemplo, misse, grampo, birilo, friso, foram avaliadas numa perspectiva geossociocognitiva, revelando as redes radiais com as formas prototípicas e periféricas relacionadas aos nomes atribuídos para o acessório de cabelo pelos falantes.
Métodos e técnicas do psicopedagogo para auxiliar o aluno disléxico no contexto escolar
Authors: Oliveira Elison Neves de , Souza Maria José Pereira de , Colares Priscila dos Santos , Saltão Thiago Matos
Published: May 2024

Este estudo abordou o problema da necessidade dos métodos e técnicas mais indicados? Como esses profissionais podem colaborar com os professores e demais profissionais da escola para garantir a inclusão e o sucesso desses alunos?. A metodologia adotada foi a revisão de literatura, focando em trabalhos que o psicopedagogo pode utilizar uma variedade de métodos e técnicas para auxiliar o aluno disléxico no contexto escolar. O resultado e discussão sobre os métodos e técnicas do psicopedagogo para auxiliar o aluno disléxico no contexto escolar destacam a importância dessas estratégias para promover a inclusão e o sucesso acadêmico desses alunos. Os métodos e técnicas utilizados pelo psicopedagogo visam estimular as habilidades cognitivas e linguísticas dos alunos disléxicos, promovendo a aprendizagem de forma mais eficaz e significativa. As considerações finais destacam a importância dos métodos e técnicas do psicopedagogo desempenham um papel fundamental no auxílio ao aluno disléxico no contexto escolar.
Multiculturalismo e formação de professores: ecos e silenciamentos nos documentos orientadores dos currículos na UFPB
Authors: Batista Aline Cleide , Silva Caroline Pereira , Alves Francisca Terezinha Oliveira , Assis Francymara Antonino Nunes de , Queiroz Joel Araújo , Lima Maria Aldecy Rodrigues de , Soares Maria Valdenice Resende
Published: May 2024

O trabalho discute sobre a formação de professores oferecida pela Universidade Federal da Paraíba (UFPB), em especial do curso de Pedagogia, a partir da análise dos documentos norteadores dos Projetos Pedagógicos dos Cursos (PPC), tendo como foco o multiculturalismo crítico e suas perspectivas para a formação de professores. A intenção é identificar como as discussões relativas ao multiculturalismo estão presentes nos documentos orientadores dos currículos dos cursos de licenciatura da instituição. A argumentação teórica foi construída a partir dos estudos de Silva (1999, 2011), Canen (2005) e Canen e Xavier (2007) e Candau e Moreira (2007). Metodologicamente, parte-se da abordagem qualitativa amparada pelos modelos de pesquisa documental e de análise de conteúdo do tipo temática. Os documentos analisados foram: o Regimento Geral da Universidade Federal da Paraíba (Resolução Nº 25/2012) e o Regulamento dos Cursos Regulares de Graduação da Universidade Federal da Paraíba (Resolução Nº 16/2015). Identificou-se que os documentos levam em conta a diversidade como princípio norteador na elaboração dos PPCs, apesar de não abordarem questões de identidade para além do marcador institucional e profissional. Ademais, abordam questões voltadas para as especificidades culturais, ideológicas, históricas e políticas, deixando, em seus registros, a possibilidade dos Colegiados de Curso elaborarem e implementarem um currículo multiculturalmente orientado.
Aplicação foliar de boro e cálcio no desenvolvimento do feijoeiro
Authors: Muller Fernando , Zanão Júnior Luiz Antônio , Hubner Vitória , Pinto Juliana de Souza , Zanão Maristela Pereira Carvalho , Bassegio Doglas , Brustolin Rafael
Published: May 2024

O feijoeiro é conhecido por sua demanda nutricional elevada, tornando essencial a disponibilização adequada de nutrientes no momento e local adequados. A adubação foliar surge como uma alternativa crucial para suprir essas necessidades nutricionais da planta. O objetivo deste estudo foi avaliar o efeito da aplicação foliar de boro (B) e cálcio (Ca) no feijoeiro durante o pré-florescimento. Cinco tratamentos foram considerados: apenas Ca (720 g/ha de CaCl2, contendo 24% de Ca), apenas B (120 g/ha de ácido bórico, com 17% de B), combinações de Ca e B nas mesmas doses e fontes dos tratamentos anteriores, Ca e B nas mesmas doses dos tratamentos anteriores, mas utilizando um fertilizante foliar comercial contendo 6% de Ca e 1% de B, e um tratamento controle sem aplicação de Ca e B via foliar. Os parâmetros avaliados incluíram a produção de vagens por planta, grãos por vagem, produtividade e massa de cem grãos. Os dados foram analisados por análise de variância (ANOVA) e as médias foram comparadas pelo teste de Tukey a um nível de significância de 5%. As análises estatísticas foram realizadas utilizando o programa Assistat. Os resultados indicaram que, no caso específico da variedade de feijão IPR Curió, a aplicação de B e Ca via foliar durante o pré-florescimento não teve impacto significativo sobre os parâmetros avaliados, incluindo o número de vagens por planta, número de grãos por vagem, massa de cem grãos e produtividade de grãos. Esses resultados fornecem informações para eficácia da adubação foliar com B e Ca nesse estágio de desenvolvimento do feijoeiro, contribuindo para uma compreensão mais precisa de suas necessidades nutricionais e orientando práticas de manejo mais eficientes na agricultura.
Estimulação nervosa elétrica transcutânea no tratamento da dor em pacientes mastectomizadas - revisão sistemática
Authors: Alexandrino Kedma Anne Lima Gomes , Nicolau Ursula Caroliny Barbosa , Costa Roberto Vinícius Antonino da , Almeida Larissa Raquel Bilro de , Pinto Felipe Cavalcante , Messias Maria Clara Amorim , Lima Eloise de Oliveira , Braga Marieliza Araújo
Published: May 2024

O câncer de mama (CM) envolve crescimento anormal de células, resultando em tumores malignos, com prevalência notável nos últimos anos. A cirurgia frequente nesse contexto pode deixar resquícios negativos, como dor. Tendo como objetivo geral verificar os efeitos da Estimulação Elétrica Nervosa Transcutânea (TENS) no quadro álgico de pacientes mastectomizadas e os objetivos específicos foram identificar os parâmetros utilizados, tipo de aparelho, tipo de eletrodos e locais de aplicação; verificar se a dor relatada pelas pacientes mastectomizadas nos estudos está relacionada a estruturas músculo-esqueléticas ou lesões nervosas decorrentes do procedimento. O presente estudo tratou-se de uma revisão sistemática, onde a coleta dos dados foi realizada através de periódicos indexados nas seguintes bases de dados online: MEDLINE (Medical Analysis and Retrieval System Online) via PubMed; LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde); Scielo (Scientific Electronic Library Online); Scopus (Elsevier); Science Direct. Sendo incluídos ensaios clínicos randomizados controlados e realizados exclusivamente com humanos nos idiomas português e inglês, sem restrição de tempo, visando abranger a maior evidência disponível. Excluindo pesquisas em andamento, protocolos de pesquisa e as duplicatas. Foram selecionados 4 artigos, todos na língua inglesa. Onde destacaram a variedade de abordagens para tratar a dor pós-tratamento do câncer de mama, enfatizando que a TENS é uma opção valiosa, seja usada sozinha ou combinada com outras intervenções. Esta revisão sistemática revelou que a TENS emerge como uma abordagem eficaz para o tratamento da dor, resultando em uma significativa redução do quadro álgico.
A experiência do consumidor em empresas de varejo no contexto Omnichannel: um estudo de inspiração bibliométrica
Authors: Nunes Júnior João Bosco da Costa , Cordeiro Igor Lopes , Lima Elivelto da Silva , Cabral Augusto Cesar de Aquino , Santos Sandra Maria dos
Published: May 2024

Omnichannel é definido como a gestão sinérgica dos vários canais de venda e pontos de contato acessíveis ao cliente, que interagem entre si e são utilizados simultaneamente, de tal forma que a experiência do cliente e o desempenho de todos os canais são maximizados. Varejistas que adotam a estratégia omnichannel permitem que os clientes comprem por meio dos canais de venda em qualquer lugar e momento, como uma única, completa e agradável experiência de compra, que elimina as barreiras entre os canais de venda O presente trabalho investiga o estado da arte da produção científica sobre empresas de varejo no contexto omnichannel, abordando o perfil de autoria dos artigos relacionados, os autores mais citados, os temas correlatos dos estudos, analisa a evolução da produção científica, os aspectos metodológicos dos trabalhos e o período em que foram publicados.. Este estudo bibliométrico analisou 308 artigos da base de dados da Web of Science e Scopus, abrangendo o período de 2011 a 2023, sobre a experiência do consumidor no contexto omnichannel. Houve um aumento significativo na produção científica, especialmente durante a pandemia de COVID-19. Os Estados Unidos lideraram a produção, e os principais autores foram Gao F., Liz Z. e Su X. As revistas "Journal of Retailing and Consumer Services" e "International Journal of Retail and Distribution Management" foram as mais relevantes. Os temas de interesse incluíram novas tendências, comportamento do consumidor e contexto omnichannel.
Research on component content model of ancient glass products based on statistical analysis
Authors: Lan Yiheng
Published: May 2024

This paper mainly analyzes and identifies ancient glass products based on the surface characteristics and chemical composition content of ancient glass products, preprocesses the given data, establishes relevant statistical models, and uses SPSS, MATLAB, PyCharm and other software to perform statistical analysis on the surface of ancient glass. Weathering chemical composition law. To classify ancient glass types, we used the BP neural network classification prediction model to train, and the classification rules obtained depended on the difference of chemical composition content, and we tested the places where there was an accuracy dispute between the two. The classification of subclasses is based on the index evaluation using the method of hierarchy-entropy weight-coefficient of variation. The chemical components of potassium oxide and lead oxide are used to subclassify different ancient glass types. According to the evaluation results, it is proved that they are reasonable, and then the classification is made. Sensitivity analysis was performed on the results, and OAT was used to adjust its parameters to achieve the best subclassification effect.
Embracing the Academic Change Caused by the Proliferation of Generative Artificial Intelligence Chatbots in Higher Education
Authors: Deguara David
Published: May 2024

The World Economic Forum (World Economic Forum 2020) projects that, by 2025, the reorganisation of labour between humans and machines could result in the displacement of 85 million jobs while also creating 97 million jobs that are better suited to the new division of labour involving machines and algorithms. The aim of this small-scale study was to provide a basic understanding of one of the latest technological advancements, the Generative Artificial Intelligence (GAI) chatbot (Taecharungroj 2023), and how it is influencing teaching and learning in higher education. A particular focus was given to understanding the effectiveness of this technology, its adoption process, and challenges or limitations that arose, all from the perspectives of academics and policy-makers. Utilising a pragmatic stance towards grounded theory, this study employed an inductive and abductive approach towards understanding the real-world problem, generating actionable insights as theory. Rubin and Rubin’s (2012) responsive interviewing method was chosen for the primary source of data collection, utilising convenience and purposive sampling to identify information-rich sources. Data was analysed through a constant comparative process and qualitative coding techniques within MAXQDA software. The emergent prepositions highlight the necessity of revising assessment methods and academic policies in higher education to maintain a strong academic integrity. They go as far as to recommend the integration of multi-faceted evaluations, the adjustment of plagiarism policies, and fostering a culture of continuous pedagogical improvement to ensure a balanced and effective approach towards the utilisation of AI tools in higher educational settings.