Leveraging Interdisciplinary Collaboration to Improve Technology Dependency and Intercultural Competencies

In this chapter, the authors discussed the use of virtual exchange (VE) courses in a global context to prepare college students, including journalism students and pre-service teachers, for technology dependency and intercultural competencies through the faculty-librarian-instructional designer collaboration. They shared the pedagogical and technological issues encountered when implementing the VE courses with their international partner professors and described their journey of an ongoing process of collaboration and problem solving prior to and during the pandemic. Concrete examples were provided to demonstrate how they used VE to produce meaningful student learning outcomes and to expand accessible international education. The authors also discussed future research and further implementation of the VE courses.

Paramount feat to sway and purge pollution by adopting computational intelligence

Human's can't imagine machines independent. From Vacuum Tubes technology to transistors and now with Integrated chip (IC), semiconductor technology defined another industrial revolution. The modern industrial twirl is already in transpire. Artificial intelligence (AI) is ushering in the new age of technologies that are super fast, more flexible, much potential, and initiating the world more digitally connected. No doubt the potential of IoT and AI to clean up the environment is cosmic. A computational concept like fuzzy logic, neural network, and machine learning will change the perspective of machine how they are used now. Our study reveals retrospect progression in the internet of things and artificial intelligence technologies to curb ecological pollution. New generation AI-enabled intelligent control systems are optimized with a complex algorithm to identify and eliminate pollutants for environmental clean-ups. With AI automation pollution management and mitigation, developments are examined. Adopting tech-savvy IoT and AI technology, dependency on machines can be seemly employed. For example; Transportation Management System using AI and IOT can be used to determine the best shipping routes by cutting fuel and gas consumption. To some extent ICT, wireless technology adds a contribution to reducing E-Waste. ICT together with IoT acts as a mediator while renting and sharing devices among people with different industries. AI helps to solve complex data analysis that supports Quick Decision System and policymaking. With intelligent robots, we can monitor and control acidification on Soil and water. The concept of neural network and fuzzy logic are greatly used to develop intelligent machines that predict different gas rates and chemical processes. AI machines that continuously check the pH level of water, Analysis Air Quality Index can be built to monitor water resources and atmosphere. Some AI robots can identify pollutants and helps to separate them. Now we are successful in a bifurcation of paper with plastic, Iron with aluminum. Such a method contributes to the waste management system appropriately. Our study also inspects the challenges of implementing AI, How data mining and big data management feed system. Authentication/Authorization work with industry and governing authority. Inspection of a biased algorithm, poor network, and security. There is no new route to achieve our goal. Our goal is to achieve paramount measures with two concepts in mind, that are Humans assist machines and Machines assist humans to control and prevent pollution in these critical situations. Both humans and machines together find an instant solution with renting and sharing that helps to minimize ecosystem effluence

ACELERAÇÃO OU INTERRUPÇÃO DAS TENDÊNCIAS BRASILEIRAS DO SUBDESENVOLVIMENTO E DEPENDÊNCIA?

Prestes a completar duzentos anos de sua independência nacional, o Brasil encontra-se diante das preocupações com o subdesenvolvimento e a dependência externa, sobretudo com o avanço do capitalismo 4.0. Diante das intensas transformações nacionais registradas ao longo do tempo, especialmente no período mais recente, consideram-se as respostas educacional, científica e tecnologia frente ao frente ao reposicionamento brasileiro na interior da Divisão Internacional do Trabalho.Palavras-chaves: Trabalho.Educação.Tecnologia.Dependência.SubdesenvolvimentoACCELERATION OR INTERRUPTION OF BRAZILIAN TENDENCIES OF UNDERDEVELOPMENT AND DEPENDENCE?AbstractAbout to complete two hundred years of its national independence, Brazil is facing concerns about underdevelopment and external dependence, especially with the advance of capitalism 4.0. In view of the intense national transformations recorded over time, especially in the most recent period, the educational, scientific and technological responses to the Brazilian repositioning within the International Labor Division are considered.Key words: Job. Education. Technology. Dependency. Underdevelopment.¿ACELERACIÓN O INTERRUPCIÓN DE LAS TENDENCIAS BRASILEÑAS DE SUBDESARROLLO Y DEPENDENCIA?ResumenA punto de cumplir doscientos años de su independencia nacional, Brasil enfrenta preocupaciones sobre el subdesarrollo y la dependencia externa, especialmente con el avance del capitalismo 4.0. En vista de las intensas transformaciones nacionales registradas en el tiempo, especialmente en el período más reciente, se consideran las respuestas educativas, científicas y tecnológicas al reposicionamiento brasileño dentro de la División Internacional del Trabajo.Palabras clave: Trabajo. Educación. Tecnología. Dependencia. Subdesarrollo.

Unmet Respite Needs of Children With Medical Technology Dependence

Children with medical technology dependency (MTD) require a medical device to compensate for a vital body function and substantial nursing care. As such, they require constant high-level supervision. Respite care provides caregivers with a temporary break, and is associated with reduced stress; however, there are often barriers. The study utilizes mixed methodology with the National Survey of Children with Special Health Care Needs (NS-CSHCN) and semistructured interviews with state-wide care coordinators to understand the gap for respite care services. Fifty-nine percent of parents who needed respite care received none. Parents of older children with MTD were more likely to report respite needs. Care coordinators described that home health shortages created barriers to respite care utilization, and the lack of respite care can lead to hospital readmission. Although respite care is a vital resource to support families of children with MTD, it is infrequently available, which can have severe consequences.

Perceived Benefits and Barriers Regarding CSII Treatment: Development and Psychometric Evaluation of the Insulin Pump Attitudes Questionnaire (IPA-Questionnaire)

Background Continuous subcutaneous insulin infusion is the most advanced and demanding form of insulin therapy. Various positive and negative expectations, attitudes and experiences can occur, influencing adherence to and efficacy of continuous subcutaneous insulin infusion therapy. A new questionnaire was developed to systematically assess perceived benefits, perceived barriers and handling of continuous subcutaneous insulin infusion therapy. Methods The Insulin Pump Attitude Questionnaire was tested in two samples (n=265/452) comprising pump users and non-pump users. Reliability was assessed using Cronbach’s Alpha estimation. Exploratory and confirmatory factor analyses were conducted to establish the factorial structure. Correlations with other questionnaires as well as group differences between pump users and non-pump users were used to assess validity. Results Exploratory factor analysis revealed 26 items comprising six subscales: “Glycaemic Control”, “Flexibility”, “Impaired Body Image”, “Technology Dependency”, “Ease Of Use” and “Functionality”. Confirmatory factor analysis confirmed this factor structure. The IPA sum score correlated significantly with diabetes distress (r=−0.30), self-efficacy (r=0.22), diabetes empowerment (r=0.36), psychological well-being (r=0.16) and treatment dissatisfaction (r=−0.24), supporting criterion validity with small to medium effect sizes. Furthermore, the IPA was able to differentiate between pump users and non-pump users with higher scores for pump users regarding “Glycaemic Control”, “Flexibility”, “Ease of use” and “Functionality” and lower scores for pump users regarding “Impaired Body Image” and “Technology Dependency”. Conclusions The Insulin Pump Attitude Questionnaire is a reliable and valid new instrument to assess attitudes towards continuous subcutaneous insulin infusion. With six scales, the Insulin Pump Attitude Questionnaire provides a comprehensive analysis of possible benefits, barriers, and handling problems of continuous subcutaneous insulin infusion therapy. In clinical practice, the Insulin Pump Attitude Questionnaire might be used to address the different attitudes in pump users but also in people considering continuous subcutaneous insulin infusion therapy.

A Novel and Secure Hybrid iWD-MASK Algorithm for Enhanced Image Security

With the rapid growth of technology dependency over use of digital data is increasing day by day. In dDesigning digital communication systems to keepmaintain the security of data intact at all levels is important, and is considered as a vital issue in the field of digital computing. Use of digital images for the vast variety of applications in military, medical, and other sectors areis gaining a lot ofgreat popularity. Owing to this, Therefore, there is a rising demand ofto enhance the security of digital imaginge security. In this paper, we have focused on the protection of privacy, protection and proposed one of the swarm intelligence based algorithm known as “intelligent water drop-matrix array symmetric key” (iWD-MASK) for encryption and decryption of digital images. Here, the MASK approach has been implemented to generate the key of sizewhich is 128 bits in size. Also, use of an intelligent water drop algorithm implements the concept of soil particles and velocity to increase the confusion for any attacker(s) if they try to execute any attack on the image. We have also provided the detailed comparison of the proposed iWD-MASK with other hybrid approaches like MAES + Chaos and MASK + Chaos. The proposed algorithm uses three metrics, viz., precision, recall, and F-measure to evaluate the overall performance and the obtained results shows a significant improvement infor encryption and decryption of digital images over other approaches.

PIRACY REVISITED: EXPLORING MUSIC USERS IN THE AGE OF TECHNOLOGY DEPENDENCY

This paper empirically investigates and characterizes users of recorded music, both downloaders and purchasers. To this end we analyse the role of the variables defining the different segments of music users. In doing so, we have considered two main traits influencing the use of music. First, objective variables such as demographics, music consumption habits, music genres and technology. Second, subjective variables such as motives and attitudes towards piracy. Using data from a personal survey, subsequent latent class and fuzzy analyses show that while the former characteristics are relevant in those getting music for free from the Internet, the latter don´t pay any special part, contrary to what literature had suggested. Specifically, we find evidence of age, gender, technology, and genre of music confirming previous studies carried out on this topic before the existing gap in the literature. However, there is no evidence of these variables defining patterns of purchase behaviour.