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This research discusses digital signal processing in the context of developing deep learning-based speech recognition technology. Given the increasing demand for accurate and efficient speech recognition systems, digital signal processing techniques are essential. The research method used is an experimental method with a quantitative approach. This research method consists of several stages: introduction, research design, data collection, data preprocessing, Deep Learning Model Development, performance training and evaluation, experiments and testing, and data analysis. These findings are expected to contribute to developing more sophisticated and applicable speech recognition systems in various fields. For example, in virtual assistants such as Siri and Google Assistant, improved speech recognition accuracy will allow for more natural interactions and faster responses, improving the user experience. This technology can be used in security systems for safer and more reliable voice authentication, replacing or supplementing passwords and fingerprints. Additionally, in accessibility technology, more accurate voice recognition will be particularly beneficial for individuals with visual impairments or mobility, allowing them to control devices and access information with just voice commands. Other benefits include improvements in automated phone apps, automatic transcription for meetings or conferences, and the development of smart home devices that can be fully voice-operated.

ABSTRACT Objectives: to construct a Subcutaneous Hydration Device semi-functional prototype and gather initial information to improve this prototype design and realize its acceptance potential. Methods: a qualitative, descriptive and exploratory study, which used focus group, following the Technology Acceptance Model. The group was held at the Escola Superior de Enfermagem de Coimbra, Portugal, in December 2022, composed of nine participants from six different disciplinary areas, and followed thematic analysis. Results: four topics emerged associated with the device components: elastomeric infusion pump; needle/access device; clamp; administration set. From these topics, topics were triggered that highlighted: characteristics about the target population; ease of use and accessories; patient comfort and safety; and device application context. Final Considerations: the Subcutaneous Hydration Device semi-functional prototype is viable and interesting for the clinic. The results support its improvement and direct future investments for experimental studies.

Objective: to develop and verify evidence of the validity of the Healthy Lifestyle Motivation Questionnaire. Methods: methodological study anchored in Psychometrics. The construct was structured on the theory of self-determination and the constitutive elements of a healthy lifestyle. A total of 29 items were developed, evaluated by eight specialists and 30 users, and applied to a sample of 972 adults in nine Primary Health Care Units. Results: a questionnaire was developed containing 29 items with answers according to the quality of motivation. Evidence of content validity showed indices (0.75 to 1.0, p

The Coronavirus (Covid-19) pandemic affected many lives and sectors across the world. In the higher education sector, Covid-19 caused a drastic shift from contact learning to multiple forms of online learning. It is in this context that the paper undertook a critical analysis of the challenges experienced by academics because of Covid-19. A comprehensive literature search was conducted on 6 databases (Google Scholar, ScienceDirect, Jstor, Academic Search Complete, SpringerLink, and SAGE Journals) for relevant studies published from the year 2019 to 2022. Moreover, further relevant studies were retrieved from the reference list of studies identified from the initial search. The search terms employed by the researchers were COVID-19, remote learning, e-learning, online learning, higher education, information technology and asynchronous learning systems. For the selection of the most relevant articles for the final review, the researchers employed inclusion and exclusion criteria. Studies that addressed higher education online learning and the challenges encountered by higher education due to Covid-19 were eligible for inclusion. The findings revealed that academics encountered multiple challenges during the transition from contact learning to online learning, these include the academic’s limited experience and lack of training in the pedagogy of online learning, challenges related to planning and adaptability, issues of network and connectivity, insufficient teaching and learning resources, workload, and stress along with the unconducive physical spaces and environment. Based on the findings presented, this study recommended that the pedagogical strategies must be revised. Furthermore, necessary adjustments in infrastructure in higher education institutions must also be made. This will ensure the smooth running of the teaching and learning process. Moreover, the systematic flaws and transformation gaps in higher education institutions have been made clear by the shift from contact learning to online learning. Thus, this study concludes that blended learning may emerge as the default teaching mode in higher learning institutions, this ensures the maximisation of efficiency.

The paper proposes a way of enriching the composition of mixed fodder by combining two promising technologies with known effects: inclusion of germinated grain in the composition and extrusion. Crude and digestible protein, fiber, fat, and mineral elements Ca, K, Na, and P were studied. Inclusion of sprouted grain into mixed fodder and subsequent extrusion contribute to improvements in taste qualities, increased edibility, and assimilation of mixed fodder, as well as nutritive value. Taking into account the obtained knowledge about the influence of temperature regime and content of germinated triticale grain in mixed fodder production, it is advisable to continue research to adapt the technology and develop formulations for different types of animals and farm birds. The purpose of the study was to optimize the process of extrusion of sprouted triticale grain in order to reduce energy consumption and obtain high-quality extrudates. To achieve this goal, the following tasks were set: to analyze the regime factors affecting the fat content based on the optimization of technological modes of extrusion. To optimize the technology of extrusion of triticale grain of the Kozha variety, the fat content was chosen as the target function. Optimization of the technology of extrusion of triticale grain of the Kozha variety was carried out by the method of nonlinear programming. The following optimal technological modes of grain extrusion were obtained: The content of sprouted triticale grain is 15%, and the extrusion temperature is 140°C. With these optimal grain processing modes, the target function was 1.12%. The practical significance of the technology of the production of compound feeds with the use of extrusion in order to improve the quality and increase the shelf life. Doi: 10.28991/ESJ-2023-07-05-08 Full Text: PDF

This study aims to analyze the collaboration between teachers and Artificial Intelligence that can meet the needs and goals of better education. This study uses a qualitative descriptive method with a literature review research design by collecting information from reputable international journal articles indexed in Scopus over the last five years (2018-2023) using the Publish or Perish search tool. The process of meta-analysis in this research begins with formulating the research question, andthen collecting relevant literature data that aligns with the research question. Next, the data is prepared by evaluating the literature's relevance to the research topic. Afterwards, the data from the selected literature is analyzed and synthesized. The results show that collaboration between teachers and Artificial Intelligence can be a good solution to improve learning effectiveness and help students learn in a personalized way. Although Artificial Intelligence technology can assist teachers in the learning process, teachers still play an important role in guiding and inspiring students. Therefore, collaboration between teachers and Artificial Intelligence technology should also be done carefully and directed towards improving a better and more meaningful learning experience for students.

Background: The teachers in one sub-district in the North West province lacked technological knowledge and skills thus did not adopt a blended learning approach in their daily teaching. A partnership between the University of South Africa (Unisa) and schools in the district was forged to train teachers to acquire technological knowledge and skills. Objectives: To identify which online tools Unisa imparted to teachers, investigate how the acquired skills and knowledge helped teachers to adopt a blended learning approach and find out challenges that go with the application of technology. Method: Data were obtained through observation, one-on-one individual interviews and focus group discussions. Results: The Unisa training helped develop teachers’ knowledge and skills in the use of TEAMS, Emails, WhatsApp, you tube and the electronic content- material. Teachers gave learners the electronic content (presentation slides and You-videos, question banks) for revision purposes. During the outbreak of coronavirus disease 2019 (COVID-19) learners were given work to do while at home using WhatsApp. Conclusion: The article concludes by indicating that partnerships between schools and institutions of higher learning are a necessity to empower teachers on the use of technology which will lead to the use of a blended learning approach. Contribution: The article adds to the body of knowledge by indicating the need for retraining of teachers especially on technological skills to prepare them for 4th Industrial Revolution and meet the needs of the new cohort of learners-born after technology.

Objective: Working memory training has shown both physical and cognitive benefits in aging population. However, these gains are not clear after brain injury and mild cognitive disorder. Thus, the aim of this study is to identify the current state of the scientific literature on technology-mediated working memory training in adults with mild neurocognitive impairment. Methods: A systematic review was performed, following the PRISMA guidelines in English language in the Scopus, Web of Science and Pubmed databases. We included articles that were experimental studies, from the last 7 years, with older adults, in English language and studies related to working memory training in patients with minor neurocognitive disorder, and excluded those that had a different methodological design, were studies with incomplete information, were subjective and not interpretable and studies in patients with severe neurological diseases and psychiatric diseases. Results: A total of 745 articles were identified, 675 were eliminated after reading the title, abstract and keywords because they did not fit the specificity of the research topic or the population, and after applying inclusion and exclusion criteria, 1334 articles were eliminated, and 70 were evaluated for eligibility, and of these only 30 met the quality criteria. Conclusion: Neurological changes in mild neurocognitive impairment reduce the ability to simultaneously maintain and process information to perform complex tasks. The findings of the systematic review support the sensitivity and ecological validity of neuropsychological rehabilitation mediated by virtual reality, computerized training, video games and robotics in working memory training in adults with mild neurocognitive disorder because it represents a protective factor for mental health, allowing brain stimulation and the development of skills that favor social interaction, problem solving and maintenance of cognitive reserve.

The study aims to examine the relationship and interaction between learning organization culture and the factors influencing digital transformation (leadership style, training, digital readiness, and trust), as well as identify factors that significantly influence learning organization functioning by exploring the extension of a grounded theory framework. The survey was conducted using an online questionnaire. The survey population was composed of managers of Eastern European manufacturing companies who were reached through the Orbis database. The survey yielded 618 evaluable responses (n = 618). The PLS-SEM method was used because the structural model is complex, with many constructs (some of which are formatively measured) and model relationships. Leadership behavior and a supportive management style inspire the development and training of employees, through which the level of readiness for digitalization and Industry 4.0 technologies can be increased. Training in these skills will increase confidence in digitalization technologies. Leadership support also influences digital trust and employee response to the use of digital technologies, as does participation in training, which directly supports digitalization and I4.0 readiness. The results of the research not only support previous research findings but also complement them by focusing specifically on the impact on the learning organization in the context of digitalization. This study provides evidence that leadership that is supportive of the learning organization's culture plays a key role. Overall, leadership is a dominant influence in the digital transformation of organizations and in shaping the learning organization culture this requires, but all the relationships represented in the model have a significant positive relationship. Doi: 10.28991/ESJ-2023-SIED2-09 Full Text: PDF

The development and advancement of technology, new opportunities, and effective environments are being created in education, and the role of technology in education, delivered to students through computers, smartphones, or mobile devices, mainly through the Internet, is gaining momentum. With the opportunities provided by technology, students can offer differentiated learning activities according to their learning needs, preferences, and styles. In contrast, students can personalize their technological tools with the application and content they want and participate in this process in line with their learning preferences. The purpose of this study was to examine the acceptance of mobile learning tools and mobile learning attitudes of physical education teacher candidates in Turkey. A random stratified sampling method was used. According to the findings of the research; Physical education teacher candidates' attitude levels towards mobile learning are seen to be relatively higher than their acceptance levels of mobile devices. It has been observed that motivation and satisfaction variables, which are sub-factors of Attitude Towards Mobile Learning, have a high level of correlation with each other. On the other hand, it can be said that the willingness to use mobile devices mostly affects the acceptance of mobile learning tools. In general, students perceive mobile learning positively in educational environments. In this context, with the support of educational institutions, it is possible to include mobile devices in learning-teaching processes because of their advantages such as motivating, interesting and easy-to-use physical education teacher candidates, as well as supporting learning and being independent of time and space.

Objective: To learn about children's participation in nursing care through a playful intervention in the Pediatric Intensive Care Unit. Method: Qualitative study carried out between October 2022 and February 2023 in the Pediatric Intensive Care Unit with ten children between five and 11 years old in Maranhão, Brazil. A comic book about hospitalized children was used. Minayo's Thematic Analysis was used to analyze the data. Results: The child's participation in the care took place through freedom of expression and encouragement to learn about the clinical situation in a way that was appropriate for their age. Comics proved to be a technology for playing, educating, and caring, combining playful and educational elements capable of intervening in these three dimensions. Conclusion: The child's participation in care involved sensitive listening, age-appropriate communication, an inclusive approach, and allowing them to be a child while learning about themselves and their environment.

Objective: to build care gerontotechnologies to help family caregivers with the difficulties experienced in the context of elderly people with Alzheimer's disease. Methods: strategic action research carried out with seven family caregivers of elderly people with Alzheimer's disease and 12 health academics from a university. Data was gathered from the family caregivers using a semi-structured interview. Three focus groups were held with the academics. The data was submitted to the discursive textual analysis technique. Results: eight difficulties experienced by family caregivers emerged, corresponding to cognitive aspects, Activities of Daily Living and issues relating to family care. It was possible to construct 14 care gerontotechnologies in product form. Conclusion: gerontotechnologies were built to help family caregivers with the difficulties experienced by elderly people living with Alzheimer's disease. Contributions to practice: the gerontotechnologies developed have the potential to contribute to the care process, since they can be used by family caregivers on a daily basic and can be adapted to each reality, based on the unique needs of each elderly person.

The papers on this Special Issue of the Journal of Contemporary Administration promote an important discussion in the Brazilian digital marketing field. In this editorial, we explain how the authors build bridges between digital marketing, marketplace, consumers, and firms' applications by means of empirical investigations. As new technologies force marketing to constantly change to adjust to social platforms in the digital environment, insights about Brazilian digital marketing are missing. Considering the digital economy, consumer behavior, and technological culture, the five papers raise interesting questions about how viral advertising and image/video/ audio platforms affect consumer response measures (e.g., online purchases) and create social media experiences. Such experiences include omnichannel environments that connect and create ecosystems across firms, consumers, governments, stakeholders, and marketing professionals in organized networks. [ABSTRACT FROM AUTHOR]

Motivation plays an important role in EFL learning. For the twenty-first century technology-savvy learners, teachers can resort to advanced technology to enhance and sustain their motivation. The present study explores the motivational orientations of the undergraduate EFL learners of Jagannath University, Dhaka, Bangladesh and the teacher’s awareness to equip their learners with appropriate technological knowledge to ignite their motivation for learning English effectively. There were two research questions in this study. The first question was whether the learners were integratively or instrumentally motivated. The second question dealt with the contribution of technology-enhanced language pedagogy to assist the learners’ motivational orientations in the blended classrooms. To find out the first research question, a paired samples t-test was conducted. The findings revealed that students’ integrative motivation was noticeably higher than instrumental motivation. A semi-structured interview of the language teacher was taken to answer the second question. The findings revealed that the learners were integratively motivated and the language teacher arranged technologically equipped classroom in order that the students would feel an inner urge to learn the language enthusiastically.

Recent technical successes of the unmanned Mars 2020, Tianwen-1 and Hope Mars missions have further increased our hunger for space exploration and the possible colonisation of Mars is now firmly on the mid-term horizon. Furthermore, renewed commitment to settle on the Moon is anticipated within the next three years, led by NASA’s Artemis programme utilising the pan-space agency constructed lunar Gateway or Space X’s Starship system. These programmes will necessitate a larger number of astronauts spending longer periods in space and despite rigorous risk identification and mitigation procedures, injury is an inevitable consequence and management procedures will demand efficient and effective implementation. We have employed Cognitive Work Analysis to derive an abstraction hierarchy for reducing the potential for physical injury and managing the consequence of injury in space. We have used a crowd-sourcing approach to cluster factors and themes which may emanate from within or without habitat and consider solution management in the light of current and emerging technology. In addition, we also consider mental fitness as a confounder which may emerge during missions and propose methods for both measurement and management. Doi: 10.28991/HEF-2022-03-03-04 Full Text: PDF

Goal five of the United Nations Sustainable Development Goals calls for increased female participation in socioeconomic growth and development. Achieving this goal requires promoting females’ participation in fields such as science, technology, engineering and mathematics (STEM) which facing a dire shortage of personnel. However, existing efforts to increase female participation in STEM professions in Nigeria are limited in two ways: firstly, they are not focused on young females between the ages of 11 and 18. Secondly, most existing studies are not focused on the affective aspect of learning. Given the claims in existing literature that females’ disinterest in STEM professions is affective rather than cognitive, this article employs the attitude-change approach, also known as the persuasion approach, to motivate females to pursue STEM pathways. We conducted an empirical study among young female students, STEM teachers and STEM professionals from Nigeria. Based on the empirical study, a framework indicating the key components that educational technology designers should consider when developing technologies to motivate young females in Nigeria to pursue STEM professions is presented. Transdisciplinary contribution: This study is unique in that it combines strategies from various fields. The framework’s persuasive strategies are drawn from the field of psychology, the innovative pedagogies are drawn from the field of education and the design science research approach is drawn from the field of information systems. This implies that increasing female participation in socioeconomic growth requires transdisciplinary research. This also has implications for how other United Nations Sustainable Development Goals can be met through transdisciplinary research.

Objective: This scoping review maps the approach undertaken by nurses to influence the implementation of artificial intelligence in health care. It also provides evidence of how frequently nurses drive the implementation of artificial intelligence, and how often nurses collaborate within the technical team. Methods: A systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was undertaken from 24 July to 22 August 2020 to identify six records that met the inclusion criteria. Results: Nurses influenced the implementation of artificial intelligence in health care by: problem solving; articulating contextual needs and priorities; providing real-world insight and solutions; providing examples of implementation; and determining end user satisfaction. There was one instance of nurses driving implementation, and four instances of nurses collaborating with a technical team approach. Conclusion: The expertise of nurses must be sought to ensure artificial intelligence can effectively meet the highly context-specific demands of the healthcare environment. What is known about the topic? Nurses have reported negative impacts that AI can have when they are not included in the implementation process. What does this paper add? This scoping review has identified the extent of nursing influence on the design, development and implementation of AI. What are the implications for practitioners? There are many potential avenues of nursing research to explore such as; the impact of nurse involvement in AI, what depth of nurse involvement is needed and whether clinical immersion of developers results in improved usability, and smoother implementation of AI technologies. [ABSTRACT FROM AUTHOR]

Nanomaterials, especially nanofibers, hold considerable promise as drug delivery systems (DDS) by providing targeted administration of drugs due to their unique properties, such as large surface area, high porosity, and mechanical robustness. Nanofibers can be fabricated using various techniques like electrospinning, self-assembly, phase separation, and template synthesis, offering properties such as adjustable size, shape, high precision, and biodegradability. Additionally, features such as multiple target functionalization, controlled release of the drug, and prolonged circulation of the drug make nanofibers particularly suitable for biomedical applications, including drug delivery, tissue regeneration, and biosensing. This comprehensive review explores the characteristics, types, fabrication methods, and applications of nanofibers. Diverse types of polymer nanofibers are used in drug delivery, such as blended nanofibers, core-shell nanofibers, and layer-by-layer assembly, each demonstrating their own advantages in controlled drug release and targeted therapy. Electrospun nanofibers are extensively utilized in biomedical applications due to their superior mechanical performance and high porosity and advancements in coaxial electrospinning enabling the fabrication of core-shell nanofibers, offering controlled drug release kinetics and protection of loaded molecules. These nanofibers demonstrate enhanced bioactivity and biocompatibility and can find application in tissue engineering. Furthermore, this review addresses the challenges associated with nanofiber production, including reproducibility and scalability. Nanofibers exhibit the potential to revolutionize medical treatment across diverse therapeutic areas. Future research directions and challenges in nanofiber-based drug delivery discussed in this review offer guidance for further advancements in this rapidly evolving field., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

In the materials of this article, the problems of protein deficiency in the production of compound feed are considered, and ways to solve them due to the use of alternative, non-traditional protein components - insects that have high nutritional properties, provide rapid accumulation of biomass, serve as sources of biologically active substances and are safe from from the point of view of issues of veterinary medicine and ecology. It is predicted that up to 15% of additional protein will be provided by insects in 2050, and their market will be estimated at $1.2 billion. The characteristics of the black lion fly (Hermetia illucens) and its larvae, peculiarities of cultivation and chemical composition are presented. Larvae mostly consist of protein and fat, and also contain 7.0% chitin, 5.0% calcium, 1.5% phosphorus and iron. The amino acid composition of the protein demonstrates the presence of a wide range of amino acids and a relatively high content of lysine, which makes it possible to use them in the development of new components of complete feed for farm animals and poultry. A method of introducing dry larvae of the black lion fly into the compound feed through granulated and extruded mixtures with a mass fraction of larvae from 10 to 50% has been developed. The structural scheme of the introduction of larvae in the production of compound feed is presented, which includes cleaning of grain raw materials, grinding, sieving, mixing the passing fraction of the sieve with dry larvae in a certain ratio, and subsequent granulation and extrusion of the mixture. The results of the study of the physical properties of the samples of the molded mixtures are given, and it is established that the sample with 15% dry larvae has the best physical properties. With an increase in the content of dry larvae in the mixture by more than 25%, the samples at the exit were characterized by significant fragility and fatness and required an additional drying operation, which would significantly increase the cost of the finished compound feed. Calculated recipes of complete ration compound feed for adult laying hens using larvae from 15 to 20%, which made it possible to exclude expensive feeds of animal origin (fish meal, meat and bone meal) and partially replace soybean meal (up to 12%), which significantly reduced the cost of finished compound feed.

The presence of Artificial Intelligence in Indonesia currently has no statutory regulation that regulates it, but in several sectors in the field of Information Technology, Artificial Intelligence has been developed in Indonesia. Some developed countries already use Artificial in the field of law, such as advocacy, making laws and regulations, learning law, and so on. Objective: Applying Artificial Intelligence in Indonesia in the field of law to facilitate work in the legal field Methods: This research uses a normative juridical research method, a conceptual approach and a statutory approach. Findings: Artificial Intelligence can be used in Indonesia, not only in the legal field but also in all areas of ease of work and shortening of work. Function: the usefulness of this research is to assist in the legal field, facilitate the work of legal experts such as making laws and regulations which first take a long time to make, legal consultations for the public now do not need to come to lawyers or legal consultants can use Artificial Intelligence to provide consultations. consultation on legal matters. There have been many law offices abroad that have implemented Artificial Intelligence in their offices, if they are unable to attend to provide consultations to their clients, using Artificial Intelligence applications can already help provide solutions. Legal learning can also use Artificial Intelligence, already in Indonesia, pioneering legal learning for law students and the public who want to study law. Novelty: this research is related to Artificial Intelligence, it is still rare for people to know about its use in the legal field, therefore we made research related to Artificial Intelligence to provide information related to this.

Abstract In the current scenario while everything seems digitalized, we often spend more time scrolling across various social platforms as compared to what we spend in any other real life activities. It becomes a matter of great concern when it comes to analyze what we see and how it is interpreted. Through this paper we aims to identify the influence of technology assisted social-reform initiatives on gender-based hate content generation. With the help of Twitter API, 112577 government-initiated and 58370 citizen-initiated movement(s) tweets have been extracted. This collected data is examined for hatred nature content in terms of emotions using a software programmed in R programming language, the scores for each emotion is counted and a comparison between both the moments is made. The study clearly shows that the Citizen-initiated moments shares comparatively more hate content than the Government-initiated movements as the scores particular to specific emotions like anger, disgust, and sadness is more. This cognitive study can be helpful in policy making, promoting gender based equality, defining strategies to rebuild citizen initiatives in a hate-free environment and controlling hate content generation.

Objective: to identify the use of post-exposure prophylaxis for HIV in young people in the context of sexual risk behavior. Methods: this is an integrative review, with search in LILACS, MEDLINE, CINAHL, SCOPUS, SciELO and COCHRANE, using the main descriptors: HIV, HIV Infections, Health Education, Technology and Post-Exposure Prophylaxis related through the Boolean operators AND and OR. Results: the final sample included 16 studies, mostly implemented with men who have sex with men. The articles were classified and analyzed from the categories: knowledge assessment; barriers/challenges to adherence to post-exposure prophylaxis; population using post-exposure prophylaxis; and educational technologies. Conclusion: non-adherence was related to the ignorance of basic information such as the indication of post-exposure prophylaxis, place of delivery, dosage, and side effects. Contributions to practice: synthesis of knowledge about the use of post-exposure prophylaxis by young people. In addition to increasing research on young people in the context of risky sexual behavior, especially in the nursing field, it subsidizes the development of health education strategies.

The formation of the early bronze-casting production in Baraba and the appearance of products of the Seima-Turbino type were completed within the 3rd — early 2nd mil. BC — during the existence of the Krotovo Culture. Plenty of work has been devoted to its characterization; the presence of bronze-casting on the sites has been noted, but special studies of this type of sources are extremely few. The purpose of this paper is to present the characteristics of the production areas associated with the processing of non-ferrous metals, based on materials of the Vengerovo-2 settlement of the Krotovo Culture. Production sites were studied in six dwellings of the settlement. The uniformity of the workshops has been revealed in terms of site planning and principles of organization of the production, although differences in scale have been noted. The use of two types of the forges has been recorded. In all these workshops and in other sites of the culture, a multifunctional sub-rectangular hearth buried in the ground with the walls and floor lined with fragments of ceramics or clay coating was found (with dimensions of 1.65×0.87–2.3×0.9×0.21–0.52 m). The second type of the forges is less common — a small round or oval pit (0.4–0.5 m in diameter) with the bottom and walls lined with baked clay or fragments. The smelting was carried out with forced air supply. The casting of the metal was taking place next to the forge. Crushed bones were used as fuel. The production complex demonstrates extensive external economic and commercial ties. This is manifested by penetration of significant volumes of non-ferrous metal into the ore-barren areas of the Central Baraba, as well as by the presence of imported foundry equipment (molds made of marl and talc). The simultaneous presence inside the casters’ dwellings of bones of taiga-zone animals and those living in the southern, steppe regions indicates significant length of the supply routes. The specific features and unification of the production of the manufacturing equipment, nature of the work carried out, volume of heats, and a large number of similar-type forms suggest specialization of the village in the bronze casting production.

In the Brazilian semiarid, there are producers who do not have access to water throughout the year, mainly producers with small areas are at the mercy of public policies or social security programs (civil defense) that may intervene in the lack of water supply. In the search for balance between human needs and the environment, sustainable terms and sustainability emerge with their complex interaction dynamics. One of the technologies used to remedy the problem is the drilling of artesian wells, which mostly contain saline water. Work carried out with drip techniques and string beans (cowpea), cultivation resistant to saline water conditions, will help policies to promote improvement in the well-being of rural territories. The study starts from documentary research and bibliographic review. The development of documentary research follows the same steps as bibliographic research. The information collected seeks to address the problem of drought and / or drought in this region as an object of study for technological interventions. This article presents a script developed to assist researchers by directing them to solve the problem pointed out for possible future action research.

It was established that the components of chemical composition of black currant juice – content of acids (2.3 %), pH (3.4), pectin substances (1.15 %) exceeded the minimum values of parameters in which jelly is formed together with sugar and juice is excellent raw material for its production. Improved technology of production of black currant jelly is offered. The essence of the technology is in adding osmotically dehydrated pieces of apples, red cherries, yellow cherries, apricots, gooseberries in quantities of 10 and 15 % of the total weight of finished product to a pre-prepared jelly with different content of dry soluble substances (50, 55, 60, 65 %). The best variant – black currant jelly with content of dry soluble substances of 65 % and with adding of 10 % of osmotically dehydrated pieces of apples by organoleptic assessment of the products was determined. It was substantiated that osmotic dehydration of fruits should be carried out under the following conditions: sugar solution at a concentration of 70 %, duration of maturing to 12–18 hours, ratio of the weight of fruit and weight of sugar solution of 1:1. Normative and technical documentation such as technological instruction for production and technical specifications for quality control of proposed type of product was developed and approved.

Dynamics indicators of supporting-spring properties of a foot in the children of primary school age with derivation of hearing during process of adaptive physical education under influence of author’s technology on prevention of violations the biomechanical properties of foot Abstract The global trend of increasing number of people with special needs encourages the scientific community to search effective pedagogical methods and techniques aimed at mobilizing all compensatory opportunities that will contribute to the successful socialization of students with hearing impairments at the present stage. Objective. In general, number of respondents involved in the sequential conversion phase of the experiment reflected on the children of 7 years old (n=37). Methods. In the given research uses: analysis of professional scientific and methodological literature, pedagogical observation; anthropometry, photometry. In the determining somatotype by W.H. Sheldon (digestive, muscular, thoracic, asthenoid) main attention was focused on the development and ratio of such features as a shape of back, chest, abdomen, legs, the amount of development a bone, muscle and adipose tissue. Tables of M.O. Friedland were used to estimate height of the foot arch by the methods of mathematical statistics. Results of the study. Technology of prevention violations of biomechanical properties of foot in the children of primary school age with deprivation of sensory systems in the process of physical education is based on the following structural components: organizational, diagnostic, methodological, control and correctional, informational and effective. Technology includes the following stages: preparatory, basic, supporting. The study dynamics of support-spring properties of foot in children of 7 years old with hearing derivation under the influence of author's technology showed that in the boys rate of increase of a foot length exceeded rate of increase of a foot length in the girls. Generally, average rate in the boys increased on 3.02% (from (178.97; 4.37) to (184.38; 4.07) mm), and in the girls a median value increased on 2.81% (from (178.28; 175.66; 193.88) to (183.28; 180.66; 198.88) mm). Conclusions. Results of a sequential conversion experiment confirmed effectiveness of a developed technology. Regardless the type of physique in children of both sexes there was an improvement of the support-spring properties of a foot, i.e. after implementation of a proposed author's technology had a positive effect on the children with hearing deprivation in all types of body structure. Distribution of children with hearing derivation by the size of foot arch according to the stage of research showed that after the experiment a share of boys with normal feet by the angle of arch increased on 40.9 and the girls – on 53.3%. Regarding the distribution of children with hearing derivation by value of a Friedland podometric index, at the end of experiment, percentage of boys with normal feet increased on 40.9, and the girls – on 46.7%.

The State University of Distance Education (UNED, Universidad Estatal a Distancia) has always made efforts to be at the forefront of advancement and opportunities for its students. These efforts have taken this home of learning to international levels and guided this institution to increase its standards of quality formation for its students. This article demonstrates how the chance to develop a technology-related idea resulted in the participation in an internship at Savonia University of Applied Science (UAS) in Kuopio, Finland. Additionally, this internship aided in the immersion in follow up events that contributed to the professional growth of a student from the major of Sustainable Tourism Management. This article briefly explains the tasks assigned in two courses taken at Savonia University of Applied Science (UAS). It also narrates student life at this university. Finally, it explains how far nationally and internationally students at UNED can go if they pursuit educational goals, take advantage of UNED´s partnerships, and exert all efforts.

The main purpose of this research is to present a detailed comparison between the 1996-2001 Dotcom and 2014-2018 AI landscapes, by comparing the evolution of Dotcom and AI through a regression model aimed at testing the relationship between these two phenomena, which have similar characteristics, but also distinct features. In a period when the academic and the business environment discourse is focused on the potential effects of diminishing funding and interest in AI and even a bubble burst, our investigation demonstrates the contrary. Having in mind the strengths of the AI market and its interrelations with significant sectors of the world economy, our paper denies the hypothesis of a potential AI crisis, in spite of some hints that AI companies are in the early stages of high risk. Our paper brings also another novelty element related to a different type of Schumpeterian creative destruction identified in the case of AI. The big players present on the market are able to purchase the firms that Schumpeter suggested would replace the existing firms, therefore the creative destruction occurs in the case of start-ups, which are undertaken by stronger companies present on the market, even survivors of the Dotcom crisis, not vice versa.

The teaching and learning of statistical reasoning is becoming challenging due to the change in the perspective emphasizing on the deeper understanding rather than basic statistics computations. As suggested by researchers, implementing technologies able to develop student interest in the topics leads to deeper understanding. Hence, this study used dynamic software, Fathom for teaching statistical reasoning. The purpose of this study is to examine the statistical reasoning understanding among upper secondary students after using dynamic software, Fathom. The sample consists of seventy -two students randomly assigned to control and experimental groups. The experimental group underwent an intervention where they learnt statistical reasoning using Fathom while the control group learnt statistical reasoning using traditional learning method not involving Fathom. Statistical Reasoning Assessment (SRA) was used in this study as the instrument for measuring statistical reasoning. The research hypothesis data were analyzed using MANCOVA test. The findings showed a significant difference across four statistical reasoning constructs namely Describing Data, Organizing Data, Representing Data and Analyzing and Interpreting Data between students in the control and experimental groups. Furthermore, the results of the analysis emphasized that the students who learned statistical reasoning using Fathom performed better than students in the control group. In brief, the upper secondary students’ statistical reasoning enhanced after implementing Fathom.

Mountainous areas located at high altitudes, hardly accessible, are used as safe heavens and staging areas by various asymmetrical groups. Addressing these challenges in areas of operations located at high altitudes requires the existence of specific capabilities for command and control. C2 based on mission command must be adapted to the current requirements generated by conflicts with variable geometry, mosaic type conflicts, composite, multifaceted, multi-layered, multi-domain conflicts. Command and control systems should have architectural flexibility, intelligent digitised platforms and its modules should be perfectly functionall and interoperable (based on self-sufficiency ‒ extended capability to operate over time). We believe that, at high altitudes, the architecture of a complex command and control system must be modular and designed as a coherent integrator of sensors, decision-makers, performers and support capabilities, interconnected in subsystems that ensure the planning, preparation, execution and effective evaluation of military actions. In the conditions of diversification of risks and threats in the multidimensional operational environment, the architecture of the command and control systems must be permanently adapted in order to ensure real-time, horizontal and vertical communication between forces, support structures and command-control structures.

This study aimed to characterize dairy production systems in Alegrete, RS, Brazil, based on productive indices, management practices, and technification. The present study was conducted on 43 farms distributed in 22 localities of the county. The collection of data on milk production systems was carried out through visits to the properties, using a semi-structured guide questionnaire. The data obtained with the questionnaires were tabulated in Excel and with the aid of the IBM SPSS Statistics 20.0 software, through multivariate statistics, data were submitted to main component analysis (MCA) and hierarchical clusters analysis (HCA), allowing the division of 43 production units into homogeneous groups. The studied variables were summarized through the MCA in two main components (1 and 2), which clarified 71.53% of the explained variance. The alpha-Cronbach values observed for the two main components totaled 0.977, a result that confirms the reliability of the questionnaire used and reveals the high correlation between the answers obtained. From the hierarchical classification analysis, the dataset of the 43-farm studied was reduced to six groups (G1, G2, G3, G4, G5, and G6). The quadrants obtained from the insertion of the axes of the main components 1 and 2 allowed the interpretation of the groups of systems, according to the characteristics related to milk production. G2 presented the highest number of farms of the six systems formed, representing 41.86% of the establishments studied. These are characterized by being a more productive farm, an average 881-1 L day, with greater technological adoption of production and greater area destined to milk production, corresponding to the average of 78 hectares. The productive aspects that define the characteristics of milk production systems in the county were related to the structure of the herd, pasture area, daily production, disposal criteria, and milking management. The main differences found in the different groups are related to the productive indexes, suggesting that the technical assistance and rural extension actions in the dairy production systems in the county of Alegrete should be directed according to the individual need of each group formed.

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Background and aims: Air pollution reduction is important in health being of people and environment. Applying of an effective and efficient strategy is key consideration in facing with environmental challenges of management and control of air pollution. Recently, the main effort of environmental researchers is finding low cost and effective methods to control of environmental pollutants. Pollution prevention and control account as main techniques of pollution reduction. However, the prevention role is important than pollution control. Implementation of control practices and using of effective devices and technical equipments is necessary to achieve control strategy of pollution. One of the most important steps in air pollution control is selection the appropriate control equipment. Several factors included in selection of proper and technical equipments such as; cost, designing, efficiency, and etc. Choosing of proper control devices with lower emission rate of pollutants would result in lower destruction and environmental costs. Desired decision should be based on different criteria of socio-economic, and management. Choosing of appropriate control devices by consideration of various characteristics is complicated. Recently, one of the management challenges is selection of control devices based on the socio-economical, technical and environmental criteria. MADM models are one of the supportive decision systems applied for priority, and selection of best alternative. These methods seek for choosing the best and effective alternative by considering of multiple criteria. The aim of the present study is selection of air pollution control technologies with considering appropriate aspects of socio-economic and techno-practical criteria. Selection of suitable and effective control devices is key factor in prevention of losing human and financial capital. Methods: In this research, MADM technique based on fuzzy TOPSIS method has been used for appropriate selection of air pollution control equipment and pollution management. By literature review and cooperation of air pollution experts, common technologies in fields of air pollution included in petrochemical industries have been identified and keyed. Firstly, primarily questionnaire is prepared and then its reliability and validity were done using Lawshechr('39')s method. Five criteria including filtration efficiency, cost, maintainability, design ability and size for rating the control technologies related to air pollutants include of (NOX, SOX and CO) have been considered. Criteria weighting has been done using Shannon entropy and Fuzzy TOPSIS technique has been applied for prioritize of indicators. Data bank of primarily questions including pollution control technologies about three categories of air pollutants (NOx, SOx, and CO) has been collected and organized to provide final questionnaire. Then, questionnaire has been distributed between expert panel with air pollution discipline to complete it. After that, the weight of study criteria (including; cost, treatment efficiency, size, maintenance, design and build up) is identified using Shannon entropy method. The answers of expert panel to questionnaire were verbal. So, there was a need to be converted as scales with analytical property. As, doing mathematical operations on descriptive qualitative variables were impossible. Therefore, descriptive variables have been converted to fuzzy scales. In this research, triangular fuzzy values have been used. Fuzzy TOPSIS technique has been applied for ranking of indicators. Accordingly, it is implemented during 7 steps including; choosing proper fuzzy scale of measurement, provide decision matrix (calculation of importance degree of each indicator for every criterion), weighting of decision matrix, normalize weighted decision matrix, determination of positive and negative fuzzy ideal responses, identify distance of each indicator, and determination of closeness coefficient of indicators to ranking indicators. Results: The results of study illustrate that final weighting of studychr('39')s criteria based on expert panel opinions and using Shannon entropy technique is different for each pollutant (Table 1). Table 1. Final weighting of studychr('39')s criteria based on Shannon entropy technique in terms of each pollutant No. Final weighting for each pollutant Cost Size Maintenance Efficiency Designing 1 Wi ( NOX) 0.212 0.063 0.047 0.378 0.300 2 Wi( SOX) 0.278 0.165 0.059 0.390 0.107 3 Wi( CO) 0.111 0.154 0.042 0.651 0.042 Fuzziness decision matrix of control technologies for three types of pollutants is given in Table 2. Table 2. Fuzziness decision matrix of control technologies Pollutant Control technology Cost Size Maintenance Efficiency Designing NOx Selective catalytic reduction (SCR) (1.13, 1.52, 2.26) (0.61, 0.86, 1.06) (0.45, 0.67, 0.89) (0.68, 0.88, 0. 99) (0.4, 0. 61, 0. 82) Non Selective catalytic reduction (NSCR) (1.14, 1.48, 2.18) (0.51, 0.75, 0.97) (0.46, 0.73, 0.96) (0.54, 0.74, 0.88) (0.6, 0.83, 1) Non- thermal plasma (1.26, 1.64, 2.35) (0.56, 0.78, 0.97) (0.5, 0.7, 0.9) (0.69, 0.88, 1) (0.53, 0.73, 0.9) Plasma- catalytic hybrid process (1.12, 1.5, 2.14) (0.55, 0.79, 1) (0.51, 0.76, 1) (0.73, 0.91, 1) (0.55, 0.78, 0.96) Scrubber (1, 1.25, 1.76) (0.53, 0.76, 0.99) (0.51, 0.76, 0.98) (0.49, 0.69, 0.86) (0.6, 0.82, 0.98) SOX Scrubber (4.67, 6.53, 8.2) (5, 6.93, 8.6) (4.13, 5.93, 7.47) (6.07, 7.8, 8.93) (5.67, 7.4, 8.6) Catalytic (2.53, 4.13, 5.93) (4.33, 6.13, 7.87) (3.93, 5.73, 7.27) (5.93, 7.67, 8.73) (4.33, 6.13, 7.53) Flare (2.87, 4.4, 6.13) (3.4, 5.2, 6.93) (3.27, 4.93, 6.6) (4.6, 6.47, 8) (4.4, 6.27, 7.73) High Stack (3.8, 5.2, 6.53) (3.27, 4.73, 6.27) (4.2, 5.8, 7.13) (3.07, 4.57, 6.14) (4, 5.53, 6.87) Active carbon (2.6, 4.2, 6) (4.13, 5.93, 7.6) (3.27, 4/.93, 6.73) (4.47, 6.07, 7.6) (4.4, 6.13, 7.67) CO Non- thermal plasma (2.73, 4.27, 5.93) (3.87, 5.8, 7.53) (4.27, 6, 7.67) (7, 8.73, 9.73) (4.87, 6.8, 8.4) Plasma- catalytic hybrid process (3.2, 4.87, 6.6) (4.33, 6.33, 8.07) (4.27, 6.13, 7.87) (6.87, 8.53, 9.6) (5.07, 6.8, 8.2) Flare (3.33, 4.87, 6.47) (3.13, 4.87, 6.73) (3.4, 5.07, 6.73) (4.33, 6.07, 7.6) (4.13, 5.73, 7.13) High Stack (3.07, 4.6, 6.2) (2.93, 4.6, 6.47) (4.2, 5.93, 7.53) (2.93, 4.4, 6.07) (4.4, 6, 7.4) Scrubber (4.07, 5.87, 7.47) (4.4, 6.27, 7.8) (3.8, 5.47, 7.07) (5.53, 7.07, 8.13) (5.07, 6.67, 8) After weighting of decision matrix it has been normalized and then positive and negative fuzzy ideal answers are determined. Then, distance of each indicator has been identified and closeness coefficient of indicators is reported to ranking of control technologies based on pollutant type (Table 3). Table 3. Priority of selected optimum technologies for air pollution treatment in present study Control technology of NOx +D -D CCi Rank Control technology of SOx +D -D CCi Rank Control technology of CO +D -D CCi Rank Selective catalytic reduction (SCR) 0.104 0.143 0.5782 4 Scrubber 0.272 0.201 0.4254 4 Non- thermal plasma 0.011 0.313 0.9657 1 Non Selective catalytic reduction (NSCR) 0.102 0.142 0.5808 3 Catalytic 0.038 0.435 0.9194 1 Plasma- catalytic hybrid process 0.022 0.302 0.9316 2 Non- thermal plasma 0.046 0.199 0.8129 1 Flare 0.172 0.304 0.6384 3 Flare 0.217 0.108 0.3327 4 Plasma- catalytic hybrid process 0.054 0.189 0.7769 2 High Stack 0.382 0.098 0.2049 5 High Stack 0.313 0.011 0.0341 5 Scrubber 0.181 0.063 0.2584 5 Active carbon 0.123 0.351 0.7407 2 Scrubber 0.138 0.211 0.6049 3 As we can see from Table 3, Cold plasma technology with closeness coefficient of 0.8129 was identified as the most appropriate filtration technology for treatment of NOX pollutant at the petrochemical industry. It has been choose as proper and selective option due to selective and effective treatment efficiency of this technology for NOx pollutant, very low energy consumption and safe performance of reactor because of very low amperage. Plasma- catalytic hybrid process has been selected as secondary priority because of costly selective catalyst and also generation of unwanted byproducts. Catalytic based methods with closeness coefficient of 0.9194 possess higher ranking for SOX control compared to other techniques and carbon active technology placed at the secondary rank. The main reasons in catalytic priority are high efficiency, availability of absorbent chemical materials, easy and low cost of designing and build up that technology. In priority of control technologies for CO removal, non- thermal plasma technology with closeness coefficient of 0.9679 has been identified as the best technology and plasma catalytic hybrid process placed at the next priority. Conclusion: It has been known that one dimensional attitude to proper decision-making process is inefficient. Also, comprehensive considerations in management methods to make appropriate decisions are undeniable. Fuzzy TOPSIS technique is a reliable method to achieve effective and efficient technology based on different and multiple criteria. Selection of appropriate control equipment using multi attribute decision making methods and consideration of multiple criteria using Fuzzy TOPSIS method are possible. In present study, selection of appropriate control technologies using Fuzzy TOPSIS technique is addressed for some pollutants including NOX, SOX and CO. Recognition, prioritize, and selection of proper technologies with low cost and effective performance in field of environmental pollution control according to effective criteria are undeniable requirements of optimum consumption of projectchr('39')s resources. Thus, new designs of control technologies with emphasize on effective efficiency should be identified. Multi attribute decision making method known as efficient tool in this subject. It is applied for prioritize treatment technologies with low uncertainty especially, in petrochemical industries with high level of some considerations including; socio-economic, techno-operational, and environmental.

The paper aims, for 2008-2018, a case study regarding the ranking of the European Union countries (Eastern Europe) by two indicators: corruption in the public sector and intensity of the technology transfer associated to the Foreign Direct Investment (FDI). We use in our research the quantitative analysis method. As data panel, we have the values of corruption and technology transfer intensity delivered by Transparency International, Corruption Perception Index, and World Economic Forum, Global Competitiveness Reports. The paper begins with the definition of the corruption and is followed by the presentation of certain elements used inside the methodology of the index used to measure it. The characterization of the Eastern European economies through the Corruption Perception Index is doubled by the exposure of the values associated with the intensity of the technology transfer related to Foreign Direct Investments. For the last item, the paper also presents the set of elements necessary to attract it and some correspondent public policies, created and implemented by the public sector authorities

The article explores new approaches to studying the jewelry art of the Turkic peo-ples of Eurasia. First of all, it presents the analysis of the facts mentioned in the collec-tive monograph on Eurasian Turkic peoples’ jewelry, which was written by the most prominent experts in this field from research institutions of Russia. This fundamental work presents analytical studies of Turkic-speaking peoples’ jewelry: Tatars of the Vol-ga and Ural regions, Yakuts, Buryats and others. The authors systematized a vast amount of materials, distributed it into groups and categories, and highlighted the kinds and types of products. The definitions of produced items functionality and their formal features served as the ground for classification. The articles provide reasoned infor-mation about the origin of certain types of jewelry, the time of their occurrence and exis¬tence. Appeal to the mythology of the peoples who made such products is of parti-cular interest. This made it possible to understand and present the special role of jewelry in the world view and its significance in the mythological ideas of the Universe and the world. Technological methods of jewelry making of the Turkic peoples of Eurasia are examined, the specifics of the production and artistic methods of applying the decor are identified. Obviously, the processes of artistic crafts formation, as well as fabrication of produced items, have a long history associated with the processes of ethnocultural interaction.

When the acceleration of migration in cities and the size of population are examined, it is seen that 30% of the world population lived in cities in 1950 and this ratio has increased to 50% in 2010. According to the researches, it is predicted that 60% of the population in 2030 and 70% of the population in 2050 will live in the cities. In the face of the rise of population, urbanization rates, and the rapidly depleted resources, to introduce urban solutions with the help of developing technologies and to create sustainable cities in every dimension has made the idea of ‘smartness of cities' by making the development of smart approaches compulsory. The approach that includes these dynamics is called ‘Smart City'. It is discussed the emergence of the concept of ‘Smart City', the shaping of the concept according to the urban processes and the different purposes, how the explanatory elements of the concept such as ‘smart economy, smart people, smart governance, smart mobility, smart environment, smart living' affected these processes in this study. Besides, it is aimed to clarify the unclear lines of the concept. The importance of a society that can effectively use smart methods in solving environmental and social problems and sustainability is emphasized in this study. The concept was evaluated critically by a different point of view and conclusions were made in this direction. It has been drawn attention to the process of transformation and differentiation of the concept of ‘Smart City' which constitutes the main idea of this article, and the concept has been examined in a way as not been discussed before. In this context, criticisms about meaning and value change towards the concept of ‘Smart City' have been put forward.Thus, the importance of integrating the concept with urban multi-tier processes has been emphasized.

Technological development is leading to a profound transformation of our society. And one of the most determining technologies today is artificial intelligence. The intensive use of this technology, both in complex activities and in everyday situations, has given rise to legal relationships not contemplated in our normative frameworks. In this context, the main problems posed by artificial intelligence to legal systems are studied. The review is done through three practical cases. Finally, the challenges presented to the Law are analyzed, with the expansion of articial intelligence. [ABSTRACT FROM AUTHOR]

This article considers the features and specifics of the development of students' creative abilities using art technologies in the educational process of the university. At the moment, the most important condition for progressive development, both of each individual member of society and of the whole society, is the ability to creatively solve tasks. Moreover, the basic prerequisite for this approach is a properly organized pedagogical process of higher education for the development of the student's creative abilities at all stages of personal development. It was emphasized that the main emphasis in pedagogical practice should be placed on the development of the creative abilities of students of pedagogical specialties, since the multilateral potential of this profession largely determines those personal and socially significant achievements on which the personality of the current teacher is aimed. In the article, the authors consider and disclose the concepts of "creativity", "ability", "creative abilities" and "art technologies". The article also reveals the essence and content of art technology in high school and its role in the development of students’ creative abilities. Skilled-experimental work on the development of creative abilities of students using art technologies was described. The research was attended by students of the faculty of “Humanities” of Shakarim State University of Semey. During the experiment, the program of purposeful activity was implemented to develop the creative abilities of students using art technologies. Analysis of the research results indicates that the use of art technologies in the teaching of the elective course "Development of students’ creative abilities in the educational process of the university" has a positive impact on the development of the creative abilities of university students. [ABSTRACT FROM AUTHOR]