bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of a Holling-type IV stochastic prey-predator system with anti-predatory behavior and Lévy noise
Authors: Chai Chuanfu , Shao Yuanfu , Wang Yaping
Published: July 2023

In this paper, we investigate a stochastic prey-predator model with Holling-type IV functional responses, anti-predatory behavior (referring to prey resistance to predator), gestation time delay of prey and Lévy noise. We investigate the existence and uniqueness of global positive solutions through Itô's formulation and Lyapunov's method. We also provide sufficient conditions for the persistence and extinction of prey-predator populations. Additionally, we examine the stability of the system distribution and validate our analytical findings through detailed numerical simulations. Our paper concludes with the implications of our results.
Discontinuous solutions of delay fractional integral equation via measures of noncompactness
Authors: Metwali Mohamed M. A. , Alsallami Shami A. M.
Published: July 2023

This article considers the existence and the uniqueness of monotonic solutions of a delay functional integral equation of fractional order in the weighted Lebesgue space $ L_1^N({\mathbb{R}}^+) $. Our analysis uses a suitable measure of noncompactness, a modified version of Darbo's fixed point theorem, and fractional calculus in the mentioned space. An illustrated example to show the applicability and significance of our outcomes is included.
Applications of picture fuzzy filters: performance evaluation of an employee using clustering algorithm
Authors: Tamilselvan K. , Visalakshi V. , Balaji Prasanalakshmi
Published: July 2023

This article defines the concepts of picture fuzzy filter, picture fuzzy grill, picture fuzzy section, picture fuzzy base, picture fuzzy subbase, picture fuzzy ultrafilter, as well as their fundamental features. Characteristics of the aforementioned concepts are addressed, and equivalence between the picture fuzzy filter and picture fuzzy grills is established. Real-world examples are offered to demonstrate the advantages of picture fuzzy filters in the classification of sets using a clustering technique. Illustration is provided to show the advantages of picture fuzzy sets and the results are compared with intuitionistic fuzzy sets. Clustering technique is applied to the picture fuzzy filter collection reduces the computational process which helps the decision makers to classify the sets with fewer iterations.
On Mann-type accelerated projection methods for pseudomonotone variational inequalities and common fixed points in Banach spaces
Authors: Ceng Lu-Chuan , Liou Yeong-Cheng , Yin Tzu-Chien
Published: July 2023

In this paper, we investigate two Mann-type accelerated projection procedures with line search method for solving the pseudomonotone variational inequality (VIP) and the common fixed-point problem (CFPP) of finitely many Bregman relatively nonexpansive mappings and a Bregman relatively asymptotically nonexpansive mapping in $ p $-uniformly convex and uniformly smooth Banach spaces. Under mild conditions, we show weak and strong convergence of the proposed algorithms to a common solution of the VIP and CFPP, respectively.
Complete study of local convergence and basin of attraction of sixth-order iterative method
Authors: Devi Kasmita , Maroju Prashanth
Published: July 2023

The local convergence analysis of the parameter based sixth-order iterative method is the primary focus of this article. This investigation was conducted based on the Fréchet derivative of the first order that satisfies the Lipschitz continuity condition. In addition, we developed a conceptual radius of convergence for these methods. Also, we discussed the solution behavior of complex polynomials with the basin of attraction. Finally, some numerical examples are provided to illustrate how the conclusions we got can be employed to determine the iterative approach's radius of convergence ball in the context of solving nonlinear equations. We compare the numerical results with our method and the existing sixth order methods proposed by Argyros et al. We observe that using our method yields significantly larger balls than those that already exist.
Regularity results for solutions of micropolar fluid equations in terms of the pressure
Authors: Omrane Ines Ben , Slimane Mourad Ben , Gala Sadek , Ragusa Maria Alessandra
Published: July 2023

This paper is devoted to investigating regularity criteria for the 3D micropolar fluid equations in terms of pressure in weak Lebesgue space. More precisely, we prove that the weak solution is regular on $ (0, T] $ provided that either the norm $ \left\Vert \pi \right\Vert _{L^{\alpha, \infty }(0, T;L^{\beta, \infty }(\mathbb{R}^{3}))} $ with $ \frac{2}{\alpha }+ \frac{3}{\beta } = 2 $ and $ \frac{3}{2} < \beta < \infty $ or $ \left\Vert \nabla \pi \right\Vert _{L^{\alpha, \infty }(0, T;L^{\beta, \infty }(\mathbb{R} ^{3}))} $ with $ \frac{2}{\alpha }+\frac{3}{\beta } = 3 $ and $ 1 < \beta < \infty $ is sufficiently small.
An innovative parameter optimization of Spark Streaming based on D3QN with Gaussian process regression
Authors: Zhang Hong , Xu Zhenchao , Wang Yunxiang , Shen Yupeng
Published: July 2023

Nowadays, Spark Streaming, a computing framework based on Spark, is widely used to process streaming data such as social media data, IoT sensor data or web logs. Due to the extensive utilization of streaming media data analysis, performance optimization for Spark Streaming has gradually developed into a popular research topic. Several methods for enhancing Spark Streaming's performance include task scheduling, resource allocation and data skew optimization, which primarily focus on how to manually tune the parameter configuration. However, it is indeed very challenging and inefficient to adjust more than 200 parameters by means of continuous debugging. In this paper, we propose an improved dueling double deep Q-network (DQN) technique for parameter tuning, which can significantly improve the performance of Spark Streaming. This approach fuses reinforcement learning and Gaussian process regression to cut down on the number of iterations and speed convergence dramatically. The experimental results demonstrate that the performance of the dueling double DQN method with Gaussian process regression can be enhanced by up to 30.24%.
«Moças que servieron en las calles». Mujeres en el sector de la construcción en el tránsito de la Edad Media a la Moderna: una revisión desde el caso vasco
Authors: Castrillo Janire
Published: July 2023

Este estudio analiza a las mujeres que a finales de la Edad Media e inicios de la Moderna ejercieron en el sector de la construcción, especialmente como peonas de obra, a partir del examen del caso vasco. Ciertamente, pese a que las fuentes evidencian una amplia presencia femenina en dicho campo laboral, ese colectivo adolece aún de un escaso reflejo en la historiografía. Las referencias documentales a esas trabajadoras se hallan principalmente en la documentación de carácter municipal y contable, e ilustran su participación en obras de retejado, empedramiento de calles, reforzamiento de diques y murallas, remodelación de puentes o fuentes, etcétera. Mayoritariamente, esas jornaleras, generalmente jóvenes y de extracción social humilde, realizaron tareas que no requerían una cualificación específica y fueron peor remuneradas que los peones varones. Su empleo en el sector evidencia la historicidad de las asignaciones de género, y continúa, en la actualidad, necesitando una amplia labor de indagación para ser mejor conocido y reconocido.
Papado y cambio dinástico entre el último Trastámara y el primer Habsburgo (1504-1506)
Authors: Fernández de Córdova Álvaro
Published: July 2023

La crisis sucesoria suscitada tras el fallecimiento de Isabel I de Castilla (1504) abrió graves interrogantes sobre el futuro de la Corona que inquietaron al papado por sus consecuencias en el orden internacional y la situación del reino de Nápoles, recién incorporado a la monarquía. Con nueva documentación vaticana, francesa y española, este trabajo reconstruye la perspectiva romana del enfrentamiento de Fernando el Católico y Felipe de Habsburgo por la gobernación castellana, valorando su impacto en la Curia y la actitud de Julio II ante el cambio sucesorio. El desdoblamiento de la embajada y el surgimiento de facciones rivales fueron algunas consecuencias de una disputa que el papa della Rovere quiso pacificar apoyando el traspaso de poder a Felipe el Hermoso —sin desautorizar al rey Católico— para lograr un aliado más dúctil a sus intereses, recuperar el control de la Iglesia castellana y atenuar la presión que Fernando podía ejercer desde Nápoles.
«Madrastra más que madre legítima»: la intervención de la Armada en la formación de los pilotos de la Carrera de Indias en el Siglo de las Luces
Authors: Pintos Amengual Gabriel
Published: July 2023

El traslado de la Casa de Contratación de Sevilla a Cádiz en 1717 afectó a la formación de los pilotos de la Carrera de Indias al pasar a depender de la Armada. Para determinar cómo influyó y en qué sentido se reflejó esta dependencia, desarrollamos y analizamos las implicaciones curriculares de los planes formativos ideados por la Administración Civil y Militar. Resultando que la Armada se propuso crear un piloto eminentemente práctico, a través de las Ordenanzas de la Armada, 1748, alejado de los fundamentos de la ciencia, que por extensión alcanzó a los pilotos particulares. Este proyecto educativo, se fue manteniendo en el tiempo, llegando a su culminación con el establecimiento del plan Winthuysen de 1790 que siguió el ideario formativo de las Ordenanzas de la Armada, 1748, al que añadió, como una aplicación práctica, los nuevos métodos de posicionamiento astronómico.
«Instruir en lo religioso y vigilar en lo moral». La Asesoría Eclesiástica de Sindicatos y la búsqueda de una identidad católica para el sindicalismo vertical, 1944-1959
Authors: Bernal García Francisco
Published: July 2023

Este artículo analiza las relaciones entre el sindicalismo vertical y la Iglesia católica. Para ello, se centra en la Asesoría Eclesiástica de Sindicatos, un organismo integrado por sacerdotes que formaba parte de la Organización Sindical y cuya principal función consistía en el desarrollo de actividades de apostolado entre los obreros. El trabajo consta de dos partes: la primera reconstruye el proceso de creación de la Asesoría, profundizando en las motivaciones que llevaron a la Organización Sindical a solicitar la colaboración de la Iglesia y en los términos en que esta aceptó prestar dicha colaboración; mientras que la segunda analiza las principales actividades religiosas organizadas por la Asesoría, identificando el modelo de espiritualidad y las concepciones sociales en que se sustentaban las mismas. La principal fuente utilizada es la documentación archivística generada por la propia Asesoría. La metodología parte de la revisión crítica de la fuente como vía para contextualizar la Asesoría dentro de la historia institucional y la historia religiosa del régimen franquista.
Upskilling the Workforce
Authors: Rice-Stevenson Rosalind , Ahammed Shaif Uddin
Published: July 2023

This chapter explores the use of the live project (LP) as a context within which to develop the employability skills of undergraduate business students. Learners worked in partnership with businesses to solve a real business problem. Working in small groups, guided by their business partner, students developed an array of skills, such as team working, communication, problem-solving, time management, organisational skills, and critical thinking. This type of authentic learning provides an environment where students feel confident to apply their knowledge and skills. By offering a description of the student journey through the LP, this chapter contributes to existing knowledge by explaining a learning environment which places the learner in an authentic situation. The contribution made by the critical description given in this chapter will add to existing knowledge around the concept of live project and the benefits gained by both learners and business clients.
Technology-Enhanced Legal Education
Authors: Alqodsi Enas Mohammad , Jadalhaq Iyad M. , El Hadi El Maknouzi Mohammed
Published: July 2023

The integration of technology in the field of legal education has been rapidly increasing over the past few years. This study aims to investigate the impact of technology-enhanced legal education on student learning outcomes in the United Arab Emirates (UAE). The study will focus on law schools in the UAE that have implemented technology-enhanced learning methods such as online learning platforms, interactive simulations, and digital case studies. The study will explore the effectiveness of technology-enhanced learning methods in promoting student engagement, critical thinking, and knowledge retention.
WhatsApp as a Platform of Community of Practice and Its Affordances Toward Capacity Building of Teachers in Online Teaching
Authors: Muthukrishnan Priyadarshini , Shibi Elin , Hoon Teoh Sian , Usha AjithKumar  , Sudhakar Justin
Published: July 2023

The current study examined the efficiency of Whatsapp as a mobile-based Community of Practice (CoP) toward capacity building of teachers in acquiring online teaching skills during the COVID-19 pandemic. The data were collected using mixed- methods in which both survey and in-depth interviews were used to for data collection. The sample for the study were secondary school teachers from six private schools in Chennai, India. The authors collected data from 170 secondary school teachers via a web-based survey using a questionnaire adapted from the Community of Practice Evaluation Questionnaire (CoPeval). To elicit the best practices for utilising Whatsapp as a CoP platform for professional learning, qualitative data were gathered through in-depth interviews with six participants, including two teachers, subject headteachers, and principals. The findings confirmed that Whatsapp CoP is a viable mobile-based platform for upskilling and capacity building of teachers in online teaching skills. The suggestions and recommendations of the study are presented.
Teacher Trainee Development and ICT Training
Authors: Ajithkumar Usha , Chinna Suresh
Published: July 2023

This study focuses on how training for e-book creation has helped teacher trainees upskill their instructional technology skills. The study assessed the effect of technology training on the teacher trainees' self-efficacy beliefs and perceived use in creating e-books for teaching. The study adopted one group pretest-posttest experimental research design . The study used a quantitative method to collect data from 60 teacher trainees. An adequately structured questionnaire, on perception of the need for technology training before the training and perceived self-efficacy beliefs and usage of e-books, was administered before and after the training programme. Training sessions spread over two months on e-book creation was provided. Descriptive analysis and paired t-tests were used for data analysis. The paired t-test result revealed significant differences between pre-and post-test scores in self-efficacy and perceived use of e-books. The study strengthens the importance of training for student teachers in instructional technology and e-book creation.
The Digital Edge for Entrepreneurship
Authors: Ince Fatma
Published: July 2023

Since the conceptualization of entrepreneurship in the digital age is among the current issues, it has not been sufficiently researched yet. Addressing the issue is particularly important for Asian countries that are reorienting competition. This chapter, which deals with the digital ecosystem and entrepreneurship ecosystem in terms of innovation framework, aims to present a comprehensive framework by drawing attention to the sub-dimensions of the subject. In the chapter in which a new research agenda that will fill the gap in the understanding of entrepreneurship in the digital age is outlined, evaluations are made for Asian entrepreneurs after revealing the dynamics of the digital entrepreneurship ecosystem, which is one of the important tools of value creation.
The Influence of Social Media on Gen Alpha's Purchasing Decisions
Authors: Zaki Hafizah Omar , Jamaludin Nurul Atasha , Ghazali Aziatul Waznah
Published: July 2023

The main purpose of this chapter is to look at how marketing communications through interactive social media will affect the buying decisions of Gen Alpha. In the end, they want brands and everything they do on social media to give them answers and show that they care more than ever. Young people have been able to meet up with their friends through social media. The fact that young people use technology every day also makes them more likely to use social media to buy things. People who were born in the 21st century and grew up with technology make up Gen Alpha. Young people who know how to use technology well are now called “Gen Alpha.” This means that Gen Alpha will be the generation that knows the most about technology. Gen Alpha is the most diverse generation ever, so they care about businesses that are open to everyone. They will keep changing the environment and culture of the whole world. Gen Alphas are likely to keep buying things online or through any other technology-based platform based on how much they are worth.
Structural Modelling on Factors of Adopting FinTech Among Malaysian Millennials
Authors: Hossain Mohammad Imtiaz , Alam Md. Kausar , Johari Zainudin , Tasnim Maherin , Ferdaous Kazi Israk , Pal Tanima
Published: July 2023

This empirical paper investigates the role of perceived usefulness (PU), perceived ease of use (PEU), social influence (SI), service trust (ST), user innovativeness (UI), and technological optimism (TO) on intention to adopt Fintech (ITAF) by Malaysian millennials with the moderation of perceived Covid-19 risk (PCR). Theory of planned behaviour, technology adoption model, and social cognitive theory are applied to amalgamate the concept. Data of 313 millennials who are in university were collected using a convenient sampling technique and a structured questionnaire. The data was analysed in partial least squares structural equation modeling (PLS-SEM). The result shows that PU, SI, ST, and TO influence ITAF significantly. Surprisingly, PEU and UI did not evidence significant impact. Moreover, PCR did not show moderating influence. This study can provide important insights for the Fintech users, industry players, policymakers, and government to comprehend the concept so that the adoption of Fintech can be fostered towards achieving a smart and digital Malaysia.
Impact of the COVID-19 Pandemic on the Digital Transition in Higher Education in Uzbekistan
Authors: Khusanov Kasim , Kakharov Ravshanjon , Khusanova Mushtariybonu , Khabibullaev Khamidulla , Khusanova Mukhsina
Published: July 2023

Digital technologies are transforming all aspects of human activity. Uzbekistan also does not stand aside from these transformations—digitalization affects all sectors of the country's economy. The digital transition in education, particularly in higher education, has accelerated during the Covid-19 pandemic. This chapter focuses on studying the digital transformation of higher education in Uzbekistan and the impact of the Covid-19 pandemic on this process. Different aspects of applying online teaching and learning in higher education in that emergency period in Uzbekistan and the perspectives of their development are analyzed here. The chapter's findings highlighted the pandemic's impact on digital higher education and the responses to adapting to the learning environment.
Left Behind in COVID-19 Times
Authors: Vladisavljevic Marko
Published: July 2023

The chapter analyses the effects of income support measures implemented during the first year of the COVID-19 pandemic on poverty and income inequality in Serbia and proposes more efficient alternatives. Results indicate a decrease in poverty and inequality in 2020, compared to 2019, with much of the observed reduction due to the universal cash transfer to the adult population (UCT). However, UCT had high expenditures and contributed to the between-group inequalities increase. The second main measure: transfer to pensioners and social assistance recipients was poorly targeted, as pensioners had below-average poverty rates before the pandemic. Children and the unemployed, who had the highest pre-pandemic poverty rates, were not targeted by specific support measures. In the case of future extreme events, when formulating income support measures, the government should consider pre-crisis differences in income distribution and assess the impact of the crisis on different groups.
Systems Thinking Through Mass Customization in Response to COVID-19 in the Higher Education Context
Authors: Gutmore Daniel , Galloway Al
Published: July 2023

This chapter about the systemic changes that took place at one small university during the pandemic tells the story of what happened in March 2020 and how the department was positioned to address the needs of the students. The Corona-19 virus was the event that closed schools and forced the college's remote response for teaching and communication. A short survey was issued to students about their experience. The survey yielded a positive response about the department's readiness and response to the students. Yet, when looked at holistically and systemically, another paradigm emerges that resembles the mass customization concept evolving in the manufacturing and service industries for greater than 60 years. Mass customization as a systems thinking paradigm is the theoretical frame of this chapter. The mass customization paradigm is adapted from the manufacturing industry. This paradigm addresses the decision to customize products based upon customer needs.
Schoolhouse as Learning Organism
Authors: Odell Sarah Margaret , Burgess Maureen
Published: July 2023

Before the COVID-19 pandemic, K12 schools largely remained rooted in hierarchical modes of operation, in-person and high-touch learning models, and cultures of learning that largely met those in the middle and mainstream, keeping systems oriented to the status quo. However, the signs of a burgeoning crisis in American schools were evident, as Sarah found through her graduate studies at U-Wisconsin, where the school of education long knew that a teacher shortage was beginning to create problems for staffing in rural parts of the state. Indeed, teacher education programs with once highly competitive admissions were struggling to find applicants. Informed by work of the Carnegie Foundation for the Advancement of Teaching, Hewitt is committed to the plan/do/study/act model of improvement science to ensure that Hewitt evolves in both practice and culture from the mindset of educational institution to that of a learning organism.
Blockchain-Based Deep Learning Approach for Alzheimer's Disease Classification
Authors: Sanjay V. , Swarnalatha P.
Published: July 2023

Blockchain is an emerging technology that is now being used to provide novel solutions in several industries, including healthcare. Deep learning (DL) algorithms have grown in popularity in medical image processing research. AD is diagnosed by magnetic resonance imaging (MRI) images. This study investigates the integration of blockchain technology with a DL model for Alzheimer's disease prediction (AD). This proposed model was used to classify 3182 images from the ADNI collection. The edge-based segmentation algorithm has overcome the segmentation problem. During the investigation's test stage, the DL-EfficientNetB0 model with blockchain earned the highest accuracy rate of 99.14%. The highest accuracy, sensitivity, and specificity scores were obtained utilizing the confusion matrix during the comparative assessment stage. According to the study's results, EfficientNetB0 with blockchain model surpassed all other trained models in classification rate. This study will aid clinical research into the early detection and prevention of AD by identifying the sickness before it occurs.
Generating Complex Animated Characters of Various Art Styles With Optimal Beauty Scores Using Deep Generative Adversarial Networks
Authors: Prabakaran N. , Bhattacharyay Rajarshi , Joshi Aditya Deepak , Rajasekaran P.
Published: July 2023

A generative adversarial network (GAN) is a generative model that is able to generate fresh content by using several deep learning techniques together. Due to its fascinating applications, including the production of synthetic training data, the creation of art, style-transfer, image-to-image translation, etc., the topic has gained a lot of attraction in the machine learning community. GAN consists of two networks: the generator and the discriminator. The generator will make an effort to create phony samples in an effort to trick the discriminator into thinking they are real samples. In order to distinguish generated samples from both actual and fraudulent samples, the discriminator will strive to do so. The main motive of this chapter is to make use of several types of GANs like StyleGANs, cycle GANs, SRGANs, and conditional GANs to generate various animated characters of different art styles with optimal attractive scores, which can make a huge contribution in the entertainment and media sector.
Detection and Classification of Dense Tomato Fruits by Integrating Coordinate Attention Mechanism With YOLO Model
Authors: Appe Seetharam Nagesh , Arulselvi G. , G. N. Balaji
Published: July 2023

Real-time detection of objects is one of the important tasks of computer vision applications such as agriculture, surveillance, self-driving cars, etc. The fruit target detection rate based on traditional approaches is low due to the complex background, substantial texture interference, partial occlusion of fruits, etc. This chapter proposes an improved YOLOv5 model to detect and classify the dense tomatoes by adding the coordinate attention mechanism and bidirectional pyramid network. The coordinate attention mechanism is used to detect and classify the dense tomatoes, and bidirectional pyramid network is used to detect the tomatoes at different scales. The proposed model produces good results in detecting the small dense tomatoes with an accuracy of 87.4%.
Chasing Lines of Flight
Authors: Sterner Sara K.
Published: July 2023

Post-intentional phenomenology is an important phenomenological research methodology that can be used by teacher-educator-scholars to study the innumerable variety of phenomenon in the field of education. Central to this branch of phenomenology is an understanding that phenomena are produced and provoked in and by varied and multiple contexts. With the complex and thorny realities of education, post-intentional phenomenology provides a particularly worthwhile method to explore them. As it is a relatively new branch of phenomenology, following in, expanding on, and breaking from the approaches of other phenomenological methods, it is valuable to explore the way it can add beneficial insights to research in the field. This chapter explores the five component M/methodology of post-intentional phenomenological research using a completed study in the field as an exemplar of the process.
Provoking the Mentoring Teacher
Authors: Lopez Kershen Julianna E. , Hill Crag A.
Published: July 2023

This chapter describes the journey of a duoethnographic and co/autobiographic, phenomenological study undertaken by two university colleagues. This research outlines engagement in a series of explicit conversations, centered on critical incident analysis, about the roles and experiences of mentoring-while-teaching between university teacher-researchers and graduate students. Research into mentoring in the field of English education focuses largely on beginning and early-career PK-12 teachers. However, this work focuses on the mentoring and teaching of graduate students engaged in English education studies. Connecting seminal research in the field, this project illuminates three findings that inform professional practice related to concepts of self-awareness, content and pedagogical-content knowledge, and the development of a shared commitment to collaboration within and across multiple roles in higher education.
A Phenomenological Exploration of Students' Lived Experiences of Critical Thinking in EFL Tertiary Education in Algeria
Authors: Melouah Asma
Published: July 2023

Critical thinking has witnessed increased attention in educational discourse worldwide. Contemporary discussions have presented it as a core outcome expected of university education. Conceptions of critical thinking, mainly embedded within the disciplines of philosophy and cognitive psychology, have become increasingly ubiquitous in scholarship. Despite this, developing critical thinking skills in the context of EFL Algerian higher education continues to be a challenge. Framed within an interpretive phenomenological methodology, this chapter reports the results of a study which analyzed the lived experiences of twenty students of English at one university in Algeria. Qualitative data were collected using semi-structured interviews and reflective journal documentation. The results provided insights on the students' lived experiences while exercising critical thinking. This chapter highlights the importance of context as significantly shaping the meaning and development of critical thinking.
Machine Learning-Enabled Internet of Things Solution for Smart Agriculture Operations
Authors: Kuppusamy Palanivel , Suresh Joseph K. , Shanmugananthan Suganthi
Published: July 2023

Internet of things solutions with machine learning capabilities is a hot research area in industries, including agriculture. They can be used for data analysis and further forecasting the big data and intelligent applications in farming. In traditional farming, the main obstacles are disease prediction, automatic irrigation, energy harvesting, and constant monitoring. Today, farmers' cultivation of their crops has changed by introducing automated harvesters, drones, autonomous tractors, sowing, and weeding. Smart farming with ML-enabled IoT systems can improve crop harvesting decisions. The main topic of this chapter is to provide an ML-enabled IoT solution for smart agriculture. The MIoT solution in agriculture allows farmers to use predictive analytics to help them make better harvesting decisions. Designing a MIoT system for smart agriculture can assist farmers in improving yields, planning more effective irrigation, and making harvest forecasts by monitoring essential data like humidity, air temperature, and soil quality via remote sensors.
An Innovative Teaching Model
Authors: Muthmainnah Muthmainnah , Khang Alex , Al Yakin Ahmad , Oteir Ibrahim , Alotaibi Abdullah Nijr
Published: July 2023

The degree to which a virtual content layer exists between the viewer and the real world, and how the real world is augmented, can vary greatly across tools, and use cases, but is essential to all forms of virtual reality (VR). The degree of overlap with the real world, as well as the importance of location, cooperation, and mobility, can vary dramatically from one VR experience to the next. Teachers will need support in figuring out how to best utilize AI for the benefit of student learning because of the plethora of available AI options. In this chapter, the authors share the results of a poll of students, both in the field and those hoping to enter it, to learn their thoughts on VR in the classroom. To gauge participants' thoughts on VR potential in the classroom, they gave them the VR platform and had them create a VR experience on their mobile devices. In virtual classrooms, 165 students can interact with the VR and other students as avatars, ask questions, write conversations, identify vocabulary connected between VR and material, and provide suggestions for improving classroom management.
AR/VR Technologies in the Metaverse Ecosystem
Authors: Gupta Jyoti , Rani Lekha , Kaur Maninder
Published: July 2023

Imagine living in a virtual environment where millions of individuals can communicate among themselves, explore, shop, and have a comfortable life on their couches. In this universe, the computer displays have transformed portals into a physical, three-dimensional digital realm that is superior and more expansive than the real world. Digital avatars that are representations of us roam between experiences while carrying our identities. Putting the sensationalism aside, this is known as the “metaverse.” The metaverse is an idea that describes a virtual universe composed of a couple of interconnected virtual spaces or worlds. It is an imaginative immersion in which the digital and bodily worlds converge, creating a widespread and interconnected network of virtual environments that can be accessed globally. It can boost employment opportunities by supplementing individuals with practical training and ensures that the individuals with disabilities can also be incorporated in this marathon of growth by leveraging these technologies.
Metaverse-Enabling IoT Technology for a Futuristic Healthcare System
Authors: Shah Vrushank , Khang Alex
Published: July 2023

Combining the Metaverse and IoT has huge potential to change healthcare systems. In this chapter, the authors look at how the internet of things (IoT) is changing healthcare by focusing on two key areas: telemedicine and remote patient monitoring. Remote patient monitoring is enabled through internet of things (IoT) devices and wearables. These devices collect data on vital signs, activity levels, and other health metrics in order to remotely monitor patients and discover abnormalities or changes in health conditions. By facilitating remote medical consultations and virtual doctor-patient interactions, the internet of things also improves healthcare's accessibility and convenience.
Enhanced Assistive Technology on Audio-Visual Speech Recognition for the Hearing Impaired
Authors: Ambika N.
Published: July 2023

People who have difficulty hearing can use speech recognition software to communicate differently. The task is audio-visual speech recognition for better lip-reading comprehension. Audio speech recognition is the process of turning spoken words into text. The neural network model is trained using the Librispeech dataset. The input sound signal creates sound frames with a stride of 10 milliseconds and a window size of 20-25 milliseconds. It uses audio as the input, and feature extraction extracts information from features. A visual speech recognition system automatically recognizes spoken words by observing how the speaker moves their lips. The suggestion considers body language to understand the communicator's spoken words, increasing interpretation accuracy by 5.05%.
Data Privacy in the Metaverse Ecosystem
Authors: Das Sibanjan Debeeprasad , Bala Pradip Kumar , Behera Rajat Kumar
Published: July 2023

This chapter introduces data privacy and its significance in the metaverse to the readers. It introduces several data privacy policies, privacy enhancing techniques (PET), and discusses some existing literatures on data privacy issues in the metaverse. This chapter seeks to educate readers on the various methods and technologies available to protect personal and sensitive data throughout the entire data lifecycle (collection, storage, use, and transmission). In addition, it discusses how these privacy-preserving techniques can be used to secure metaverse data and describes the most recent findings from studies conducted on the PET methods to improve these practices. The chapter also includes suggestions for additional research and development that will help readers take the first step toward enhancing data privacy techniques in the metaverse or incorporating existing technologies into privacy-enhancing metaverse applications.
Cyber Security in the Metaverse
Authors: Kaur Divneet , Singh Bharatdeep , Rani Sita
Published: July 2023

Security in the Metaverse is a critical concern as virtual worlds continue to expand and evolve. With an increasing number of users engaging in immersive experiences, safeguarding personal information, assets, and digital identities becomes paramount. Robust security measures are essential to protect against hacking, identity theft, and fraudulent activities. Technologies like blockchain and encryption play a crucial role in ensuring secure transactions, while identity verification systems help authenticate users. Additionally, monitoring and moderation tools are necessary to combat harassment, hate speech, and inappropriate content. As the Metaverse becomes more integrated into our lives, a comprehensive approach to security is vital to foster trust and safeguard the virtual realm. This chapter aims to provide an overview of cybersecurity in Metaverse. It discussed the various cyber stacks in detail along with solutions to manage these attacks. The authors have also discussed the various challenges in securing metaverse, and possible future research directions.
Regulamentação das tecnologias em saúde no brasil: uma pesquisa documental
Authors: Fávero Alves Thaís , Solange Vieira Tourinho Francis , Regina de Andrade Selma , Reisdorfer Nara , Costa Fermo Vivian
Published: July 2023

Objetivo: Analisar as principais legislações que compõem o histórico da regulamentação do uso de tecnologias em saúde no Brasil. Método: Pesquisa documental, exploratória, de abordagem qualitativa. A coleta de dados ocorreu entre abril e agosto de 2019no site da Imprensa Nacional, na Seção 1 do Diário Oficial da União, com recorte histórico de setembro de 1990 a julho de 2019, por meio da busca fonética da expressão ‘tecnologia em saúde’. Foram obtidos inicialmente 33.669 registros. A amostra final foi composta por 11 documentos, utilizando-se a técnica da análise de conteúdo. Resultados: Os dados foram divididos em duas categorias de análise: “Delineamento do campo das tecnologias em saúde no País” e “Disseminação do uso das tecnologias em saúde”. Até meados dos anos 2000, foram priorizadas as diretrizes para o estabelecimento do uso de tecnologias como parte das políticas de saúde. No período subsequente, nota-se uma evolução do planejamento do abastecimento, produção, avaliação e incorporação das tecnologias pelos serviços de saúde, bem como o desenvolvimento do Complexo Industrial da Saúde. Considerações finais: A produção e a incorporação responsáveis de tecnologias em saúde dependem diretamente do investimento em pesquisa e inovação científica, além de estar atreladas ao desenvolvimento econômico e social do País.
Tecnologias educacionais para promoção de experiência de parto positiva: revisão integrativa
Authors: Honnef Fernanda , Silveira Silvana , Silveira de Quadros Jacqueline , Ferreira Langendorf Tassiane , Cardoso de Paula Cristiane , Maris de Mello Padoin Stela
Published: July 2023

Objetivo: Identificar as evidências acerca das tecnologias educacionais utilizadas durante a gestação com mulheres e acompanhantes para promoção de experiência de parto positiva. Métodos: Trata-se de uma revisão integrativa, realizada nas bases de dados eletrônicas LILACS, Scopus e Web of Science em outubro de 2022, em que foram localizadas 5.553 produções, das quais 32 foram incluídas no estudo para análise. Resultados: As tecnologias incluíram orientações educacionais, grupos de pré-natal, planos de parto, panfletos, livretos e orientações individualizadas que possibilitaram experiências positivas, como início do trabalho de parto espontâneo, controle no processo de parto, alívio da dor, redução de intervenções, participação ativa do acompanhante, partos assistidos em locais e por profissionais qualificados. Conclusão: As tecnologias são um fator promotor de experiências de parto positivas, pois apresentam repercussões favoráveis à aplicação de métodos não farmacológicos para alívio da dor, redução da taxa de indução do parto, aumento do número de partos vaginais e ampliação da participação da mulher e seu acompanhante na tomada de decisões no processo de parto e no nascimento do bebê.
Percepções de pacientes sobre recuperação cirúrgica retardada: validação do diagnóstico de enfermagem
Authors: Dias dos Santos Dantas Raquel , Ferreira Santana Rosimere , Gomes do Carmo Thalita , De Melo Pereira Vellozo Tinoco Juliana , Dantas Cavalcanti Ana Carla , Alfradique de Souza Priscilla
Published: July 2023

Objetivo: validar qualitativamente o diagnóstico de enfermagem Recuperação Cirúrgica Retardada, a partir das percepções de pacientes. Método: estudo qualitativo, realizado com 20 pacientes de hospital de referência com seis dias ou mais de pós-operatório. Realizou-se entrevista semiestruturada como técnica de coleta de dados e, para análise de dados, procedeu-se ao método da análise de conteúdo temática. Resultados: obtiveram três categorias: Descrição das características definidoras e fatores relacionados a partir do relato dos pacientes; Percepção sobre a recuperação cirúrgica; e Repercussões do retardo da recuperação cirúrgica na vida, na saúde e no bem-estar dos pacientes. Considerações finais: as percepções dos pacientes estiveram intimamente ligadas ao tempo de pós-operatório e prolongamento da internação, o que corrobora a definição do diagnóstico Recuperação Cirúrgica Retardada. Investigações qualitativas auxiliam na compreensão da experiência do paciente quanto ao fenômeno do diagnóstico e situa o cuidado centrado na pessoa. Pode, ainda, auxiliar no delineamento de intervenções de enfermagem assertivas para o alcance da recuperação plena.
Simulação em saúde no manejo da hemorragia pós-parto: relato de experiência no ensino em enfermagem
Authors: Dias de Sousa Moreira Alves Mayrene , De Arruda e Silva Dalprá Luanna , Cristina Teixeira Beltrame Renata , Alves dos Santos Emílio Carlos , De Paula Corrêa Áurea Christina , Munhoz Gaiva Maria Aparecida
Published: July 2023

Objetivo: descrever a experiência do uso da simulação em saúde no ensino de graduação em Enfermagem na situação de Hemorragia Pós-Parto. Método: estudo descritivo, do tipo relato de experiência, sobre a aplicação da simulação em saúde no ensino em Enfermagem com base na estratégia - Zero Morte Materna por Hemorragia Pós-Parto (0MMxH) da OPAS/OMS. A simulação foi realizada no primeiro semestre de 2020, com 15 discentes da Disciplina Sexualidade e Reprodução Humana, ministrada no sexto período do Curso de Graduação em Enfermagem de uma Universidade Federal do Centro-Oeste brasileiro. Resultados: o uso da simulação em saúde nesta experiência possibilitou a participação dos alunos de graduação em enfermagem em um cenário de hemorragia pós-parto, promovendo o desenvolvimento profissional por meio de vivência na prática clínica.  Conclusão: a inserção de simulação em saúde no ensino promove o desenvolvimento de competências e habilidades importantes para a prática assistencial da enfermagem no contexto do cuidado às mulheres com quadros de hemorragia pós-parto.
Apoio social e estratégias para promoção do aleitamento materno segundo profissionais de saúde
Authors: Fragnan Peres Janaine , Rodrigues da Silva Carvalho Ariana , Silveira Viera Cláudia , Linares Ana Maria , Moreira Christofell Marialda , Rosana Gonçalves de Oliveira Toso Beatriz
Published: July 2023

Objetivo: Conhecer as estratégias utilizadas pelos profissionais de saúde para promoção do aleitamento materno exclusivo bem como sua percepção sobre o apoio recebido pelas mulheres. Método: Estudo qualitativo realizado com 28 profissionais de saúde que atuam em unidades de saúde da família no Oeste do Paraná. Os dados foram coletados por meio de entrevistas semiestruturadas, no período de setembro de 2018 a novembro de 2019. A análise foi de conteúdo, modalidade temática. Resultados: Os profissionais de saúde se autodeclararam a principal fonte de apoio à mulher no período do aleitamento materno, sendo que seis deles indicam a família como uma fonte de apoio complementar nesse processo e a mencionam como principal estratégia para proteção, promoção e manutenção do aleitamento materno, a educação em saúde. Considerações finais: Os profissionais percebem-se como o principal suporte das mulheres para a amamentação. Citam como estratégias utilizadas a educação em saúde e as orientações durante os atendimentos.
Rede de apoio às famílias de crianças com transtorno do espectro autista
Authors: Loos Carla Aparecida , De Azevedo Mazza Verônica , Tonin Luana , Weissheimer Kaufmann Gisele , Marine Pimentel Verga Samea , Trevisan Nóbrega Martins Ruthes Victoria Beatriz , Dezoti Ana Paula
Published: July 2023

Objetivo: identificar a rede social de apoio das famílias de crianças com Transtorno do Espectro Autista (TEA). Métodos: trata-se de uma pesquisa descritiva, abordagem qualitativa, com a participação de 22 familiares de crianças com TEA. A coleta de dados ocorreu por meio de entrevista semiestruturada, entre os meses de agosto de 2018 e março de 2020. Os depoimentos foram transcritos e submetidos à análise de conteúdo, com apoio do software WebQDA®. Resultados: emergiram as seguintes categorias e  subcategorias:  apoio familiar (elementos da rede familiar, rede restrita e funções da rede) e apoio comunitário (serviços utilizados, ajuda material e de serviços, recursos comunitários, guia cognitivo e de conselhos). Considerações Finais: a rede de apoio familiarevidencia-se restrita e fragilizada devido ao suporte limitado da família extensa ou de outros membros da comunidade. Além disso, foram identificadas lacunas no acesso aos serviços de saúde e recursos de assistência social assegurados por Lei às pessoas com TEA, revelando a importância do papel da equipe multiprofissional em articular a rede de atenção, com vistas ao fortalecimento das famílias, transformando-se em agentes de proteção aos direitos e ampliação da rede da criança com TEA e sua família.
Depressão entre pessoas idosas hospitalizadas: estudo de métodos mistos
Authors: Dias Diogo Antunes , Brandão Chaves Enaura Helena , Dresch Mariane , Canto Débora Francisco , Campos de Oliveira João Lucas
Published: July 2023

Objetivo: identificar a presença de sinais e sintomas de depressão em pessoas idosas hospitalizadas e sua autopercepção sobre este problema de saúde. Métodos: pesquisa de métodos mistos do desenho paralelo convergente e ênfase qualitativa. Doze idosos internados durante o período de 22 a 27 de outubro de 2021 em um hospital do Sul do Brasil, selecionados por conveniência, responderam à entrevista e ao Inventário de Depressão de Beck-II, além da extração documental de variáveis demográficas e clínicas. Os dados foram analisados de forma descritiva e apresentados em categorias temáticas, com articulação em joint display e integração interpretativa. Resultados: os resultados foram organizados em três categorias temáticas: Sinais e sintomas de depressão entre idosos na hospitalização; Desafios enfrentados por idosos hospitalizados que implicam na saúde mental; Elementos de aporte à saúde mental e concepção da depressão entre idosos hospitalizados. Conclusão/Considerações finais: o estudo identificou sinais e sintomas de depressão e os desafios que as pessoas idosas enfrentam, que incluem a própria hospitalização; a sua concepção sobre a depressão e os mecanismos de aporte à sua saúde mental, com destaque à fé. Oportunizou um espaço de fala e escuta ativa dentro do cenário hospitalar, lançando luz sobre a temática.