Development Of Knowledge Research Articles

Knowledge graph and development hotspots of biochar as an emerging aquatic antibiotic remediator: A scientometric exploration based on VOSviewer and CiteSpace

As an emerging material in the field of environmental remediation, biochar produced by carbonisation of organic solid waste has been widely used in the remediation of antibiotic wastewater due to its environmental friendliness and excellent adsorption properties. This study analyses the current literature in the field in a comprehensive and scientific manner using CiteSpace and VOSviewer technologies. Between 2011 and 2023, a total of 1162 papers were published in this domain, spanning three distinct stages: applied methods, mechanism investigation, and enhanced improvement. The results of keyword clustering indicate that the remediation of antibiotics complexed with multiple pollutants by biochar is the main research topic, followed by the remediation of antibiotics by biochar in combination with other technologies. Furthermore, drawing from current research hotspots in antibiotic remediation using biochar, this study identified the pivotal mechanisms involved: (1) The primary mechanisms by which raw biochar remediates antibiotics include π-π electron donor-acceptor interactions, hydrophobic interactions, electrostatic interactions, hydrogen-bonding, and pore filling. (2) Steam activation, acid/base, metal salt/metal oxide, and clay mineral modification can improve the physical/chemical properties of biochar, enhancing its adsorptive removal of antibiotics. (3) Biochar activated persulfate and degraded antibiotics via free radical pathways (SO4−•, •OH and O2−•) as well as non-free radical pathways (1O2 and electron transfer). In addition, the challenge and prospect of biochar engineering applications for antibiotic remediation lies in improving the main mechanism of antibiotic remediation by biochar. The prospective utilization of biochar in enhancing the remediation of antibiotic-related pollutants holds tremendous value for the future.

Power and devotion in the art of the Catholic missions in Asia during the Early Modern period

ABSTRACT During the Early Modern period, European explorers, merchants, and missionaries crossed the oceans across Asia, from the Malabar Coast in India to the Far East. It was a period of unprecedented artistic and cultural transfers between Europe, Africa, Asia, and the Americas, resulting in a dynamic and intense transmission of knowledge, beliefs, and the circulation of material culture. During the age of discoveries, the consciousness of multipolar political powers, and the development of scientific knowledge, art became instrumental to the formation of mutual perceptions and the representation of the ‘other’, both to the East and West. This paper aims to examine the processes of instrumentalization of art and artistic representation in the expression of political and spiritual utopias and the use of art to display the establishment of a new political and religious order and certainly to eloquently convince others to adopt new beliefs, accept new authorities, and conform to new cultural values. It also discusses how art and religious material culture became a mechanism to project political power, the triumph of the Church and personal devotion.

How does pre-service teachers’ general pedagogical knowledge develop during university teacher education? Examining the impact of learning opportunities and entry characteristics over five time points using longitudinal models

ABSTRACT General pedagogical knowledge (GPK) is regarded as a central component of the competence that teachers acquire during university teacher education. However, existing research on GPK typically uses only one or two measurement points to assess development and identify influencing factors. The present study draws on an annual survey of pre-service teachers’ GPK over 5 measurement points during the course of university teacher education (i.e. over the standard five-year study period). Latent growth curve models were used to assess knowledge development and explore potential influences. Knowledge development was best described as an increasing trend that flattens out over time. While students’ initial knowledge levels differed, their knowledge increase showed little interindividual variance. Initial knowledge level was related to the use of learning opportunities at the beginning of the study programme, but no significant association was identified between knowledge growth and increased learning opportunities over time. Moreover, initial knowledge level was predicted by the grade point average achieved in secondary school examinations but not by intrinsic motivation. Overall, the findings indicate that university teacher education effectively promotes GPK, with the entry phase being of particular significance.

Peers Influence on Youth Political Behavior: A Systematic Review

Youth political behaviour plays a crucial role in shaping the democratic system of a country. Several factors, such as socio-economic status, employment opportunities, and educational background, have been extensively studied in relation to their impact on youth political behaviour. However, there is a deficiency in systematic reviews specifically focusing on the influence of peers on youth political behavior. This article aims to address this gap by conducting a systematic review of relevant studies from the Web of Science, Scopus, SpringerLink, and ProQuest databases. In total, 30 studies were identified through comprehensive search terms such as “peer influence”, “youth”, “political knowledge”, and “political behavior”. Through this review, four key themes emerged: (1) political knowledge, (2) group discussion, (3) peer pressure, and (4) identity development. The findings highlight the significance of identity development and peer pressure as the most influential factors shaping youth political behaviour. By adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this review encompasses studies conducted in various countries without any geographical restrictions. Gaining a comprehensive understanding of how peers influence the political behaviour of youth can provide leaders and policymakers with crucial insights for encouraging knowledgeable peer networks.

Bewildering the legacy effects of Gail Melson’s wild things/animals/children

ABSTRACT This article bewilders dominant discourses about child-animal relations by acknowledging and challenging the work of Gail Melson who positions animals as providing emotional, social and pedagogical support for children. Melson’s psychological approach rests upon implicit assumptions that shape and support anthropocentrism whilst also critiquing a utilitarian approach to animals in educational learning spaces. The legacy effects of this approach are steeped in neoliberal discourse that entangle with pedagogy and practice. Unless modified these effects pass through generations as sticky webs of knowability that are difficult to contest. Research from Australia and Finland, framed by critical posthuman and relational ontologies, unsettles these effects to reconfigure child-animal relations as fluid and situated. ‘Bewildering education’ grants insights into historical political legacies that can be traced in education policy, practice and theory preoccupied with knowledge development, relations and meaning-making around the productive ‘good’ human subject. Child-animal relations expose complex and far-reaching effects of early childhood because processes of becoming and being human with other animals provides spaces for knowing ‘difference’ as a constituting force that disrupts anthropocentric relations with the world. Building a political history of animals that pays attention to agency and ethical relations reconfigures and reconstitutes animal species, not as objects of pedagogical inquiry, but rather as subjects and fellow earth dwellers.

Community-led approaches to the academic development of pracademics in universities: evidence from Ghana

ABSTRACT This paper examines how pracademics who teach at different universities in Ghana contribute to shaping their academic development. In this study, a pracademic refers to an industry practitioner who is employed by a university as a part-time academic to teach academic courses and support the knowledge and skills development of learners. Using a dialogical narrative approach, data were gathered from 14 pracademics who teach academic courses at different universities in Ghana. The findings revealed that the academic development of pracademics is linked to their unique professional identity, the social networks that support their personal and professional growth, and the complex professional community in which they operate. The narratives of the participants revealed that the network of pracademics serves to promote their common interests, which include needs (social, job-related, and resources), expectations, access to opportunities, and their ability to promote academic disciplines. Additionally, pracademics are likely to be highly motivated to join informal networks within a broad context – pracademia, when they know that issues concerning their job security and professional development in the areas of teaching, research, and engaged scholarship will be prioritised by the management of universities.

Towards inclusive mechanization? Two-wheel tractor-based service markets in Ethiopia, Burkina Faso, and Zimbabwe

PurposeAfrican agricultural mechanization could lead to a mechanization divide, where only large farms have access to machines. Technological solutions such as scale-appropriate machines and institutional solutions like service markets offer hope for more inclusive mechanization. Two-wheel tractor-based service markets combine both technological and institutional elements, but there is limited research on their economic viability and challenges.Design/methodology/approachWe analyze the economic viability of two-wheel tractor-based service provision based on data from service providers in Ethiopia, Burkina Faso, and Zimbabwe. We also examine the institutional framework conditions for such service providers based on qualitative interviews with these service providers and stakeholders such as machinery dealers, spare parts providers, and banks.FindingsTwo-wheel tractor-based service provision is economically highly viable, largely due to multifunctionality. Post-production services such as threshing and transportation are particularly lucrative. However, the emergence and economic sustainability of service providers can be undermined by bottlenecks such as access to finance, knowledge and skills development, access to fuel and spare parts, and infrastructure problems.Originality/valueThis is the first study on the economics of two-wheel tractor-based service provider models. Past studies have focused on large four-wheel tractors, but two-wheel tractors are different in many aspects, including regarding investment costs, repair and maintenance costs, capacity, and multifunctionality.

Estimating the size and scope of the academic emergency physician workforce.

Academic emergency medicine (EM) is foundational to the EM specialty through the development of new knowledge and clinical training of resident physicians. Despite recent increased attention to the future of the EM workforce, no evaluations have specifically characterized the U.S. academic EM workforce. We sought to estimate the national proportion of emergency physicians (EPs) identified as academic and the proportion of emergency department (ED) visits that take place at academic sites. We performed a cross-sectional analysis of EPs and EDs using data from the American Hospital Association, the Centers for Medicare & Medicaid Services, and Doximity's Residency Navigator. EPs were identified as "academic" if they were affiliated with at least one facility determined to be academic, defined as EDs officially designated by the Accreditation Council for Graduate Medical Education (ACGME) as clinical training sites at accredited EM residency programs. Our primary outcomes were to estimate the national proportion of EPs identified as academic and the proportion of ED visits performed at academic sites. Our analytic sample included 26,937 EPs practicing clinically across 4920 EDs and providing care during 130,471,386 ED visits. Among EPs, 11,720 (43.5%) were identified as academic, and among EDs, 635 (12.9%) were identified as academic sites, including 585 adult/general sites, 45 pediatric-specific sites, and 10 sites affiliated with the Department of Veterans Affairs. In 2021, academic EDs provided care for 42,794,106 ED visits or 32.8% of all ED visits nationally. Approximately four in 10 EPs practice in at least one clinical training site affiliated with an ACGME-accredited EM residency program, and approximately one in three ED visits nationally occur in these academic EDs. We encourage further work using alternative definitions of an academic EPs and EDs, along with longitudinal research to identify trends in the workforce's composition.

Abstract

Background:Language ability is indicator for child development and will affect delays or damage to other systems because children's language skills also involve cognitive, motoric, psychological, emotional, and environmental abilities. Right stimulation can improve children's language development. Language stimulation can be done by the mother. Objective: This study aims to determine the effect of maternal stimulation behavior on the language development of pre-school children. Methode: This research is a quantitative research with a cross sectional approach. The population in this study amounted to 50 people with sampling using total sampling technique. Data analysis was processed using chi-square. Results: The results showed the correlation between knowledge and children's language development (p = 0.002), attitude and language development (p = 0.003), behavior (p = 0.005). Conclusion: Based on this analysis, it was found that there is a correlation between mother's knowledge, attitudes and behavior with language development

The significance of structural components of lignocellulosic biomass on volatile organic compounds presence on biochar - a review

AbstractThe product of thermochemical processing of lignocellulosic biomass is biochar. It has a range of properties that make it suitable for a variety of economic applications. However, during pyrolysis and torrefaction, volatile organic compounds (VOCs) are released and may redeposit on the surface of the biochar. Some of these compounds may be harmful to the environment and humans. Bibliometric study shows that, to date, studies on the release of VOCs from biochar have been of an inventory nature and concerned with specific case studies of the specific types of biomass. To date, there has been no comprehensive and systematic analysis of the influence of lignocellulosic biomass properties and pyrolysis/torrefaction process parameters on VOC formation and redeposition on biochar. In this paper, the analysis is presented of the potential harmfulness of VOCs released during the thermochemical processing of lignocellulosic biomass components, based on cellulose, hemicellulose, and lignin pyrolysis/torrefaction chemistry data. 10 volatile organic compounds from cellulose, hemicellulose, and lignin pyrolysis were identified as potentially harmful due to the following properties: carcinogenicity, toxicity, flammability, skin corrosion/irritation, eye irritation, and mutagenicity, with different degrees of harmfulness. Additionally, the VOCs identified on biochar samples show a potential hazard. Among 140 identified compounds, 33 of them had harmful properties. Therefore, the redeposition on biochar of ketones, aldehydes, cyclic and aromatic hydrocarbons including polyaromatic hydrocarbons, and their derivatives, esters, and furans may lead to environmental contamination due to their release from biochar. A new niche for systematic research on the development of new knowledge regarding the biochars produced from biomass as a source of pollutant emission has been identified.

THE POEM “SONG ABOUT THE REFRACTOR”: SCIENTIFIC HUMOR IN THE CONTEXT OF RELATIONS BETWEEN RUSSIAN AND GERMAN SCIENTISTS AT THE TURN OF THE 19TH AND 20TH CENTURIES

The history of science is intended to study not only the history of discoveries, hypotheses and methodology, but also human connections, which sometimes influence the formation and development of scientific knowledge no less than articles and books. Ephemerides of various kinds are particularly difficult to observe and study: topical hints understood only in a narrow circle, various statements on a subject that may be forgotten after the passage of time, a way of joking that has long since lost its relevance - all that is woven into the fabric of life, including scientific one, and without which it is impossible to imagine people who did science. At the center of the article is a poetic text found in the archive of the remarkable Russian astronomer V.K. Tserasky, who headed the Astronomical Observatory of Moscow University at the turn of the 19th and 20th centuries and put a lot of effort into its construction. The humorous work “Song about the Refractor” (1898) by the Berlin student Benno Messow is one of such samples of humor, which can shed light on the nature of scientific contacts between scholars from different countries. The poem is a paraphrase of Friedrich Schiller’s famous “Song of the Bell”, deeply rooted in the tradition of German poetry. Meanwhile, the parodic “song” was presented to V.K. Tserasky, who, according to the presenter’s thought, was able to appreciate the subtlety of the joke. The construction of a refractor in the Moscow observatory seemed an excellent occasion to reuse the text dedicated to the completion of the same device in the Potsdam Astrophysical Observatory. This work is a testimony both to the scientists’ penchant for humor and to the versatile scientific and friendly ties between scholars and engineers of Russia and Germany at the turn of the nineteenth and twentieth centuries. The article examines Messow’s poem, some details of his biography and the alleged circumstances of the song’s transfer to V.K. Tserasky.

Basic science knowledge underlies clinical science knowledge and clinical problem solving: evidence from veterinary medicine.

Medical sciences education emphasizes basic science learning as a prerequisite to clinical learning. Studies exploring relationships between achievement in the basic sciences and subsequent achievement in the clinical sciences generally suggest a significant positive relationship. Basic science knowledge and clinical experience are theorized to combine to form encapsulated knowledge- a dynamic mix of information that is useful for solving clinical problems. This study explores the relationship between basic science knowledge (BSK), clinical science knowledge (CSK), and clinical problem-solving ability, as measured within the context of four veterinary colleges using both college-specific measures and professionally validated, standardized measures of basic and clinical science knowledge and problem-solving ability. Significant correlations existed among all variables. Structural equation modeling and confirmatory factor analysis were used to produce models showing that newly acquired BSK directly and significantly predicted BSK retained over time and newly acquired CSK, as well as indirectly predicted clinical problem-solving ability (mediated by newly acquired CSK and BSK retained over time). These findings likely suggest a gradual development of schema (encapsulated knowledge) and not an isolated development of biomedical versus clinical knowledge over time. A broader implication of these results is that explicitly teaching basic science knowledge positively and durably affects subsequent clinical knowledge and problem-solving ability independent of instructional strategy or curricular approach. Furthermore, for veterinary colleges specifically, student performance as measured by both course-level and standardized tests are likely to prove useful for predicting subsequent academic achievement in classroom and clinical settings, licensing examination performance, and/or for identifying students likely in need of remediation in clinical knowledge.

Case Study on- “Recruitment and Selection Process” at Unique Rotopack Pvt Ltd

Role of Human Resource Management is important Function concerned with organizational activity aimed at Betterment of Employee’s performance as individuals and groups in organizational Settings. Recruitment and selection is the process of attracting individuals on a timely basis in sufficient numbers and with appropriate qualification, to apply for jobs within an organization. The process of searching prospective employees with multidimensional skills and experience that suits organization strategies in fundamental to the growth of the organization, this demands more comprehensive strategic perspective recruitment. Organizations require the services of large number of personnel, these personnel occupies the various positions created to the process of organization. Each position of the organization has certain specific contributions to achieve the organizational objectives. The recruitment process of the organizational has to be strong enough to attract and select the potential candidates with right job specification. The recruitment and selection process begins with human resource planning and concludes with the selection of required number of candidates, both HR staff and operating managers have responsibilities in the process. People are internal part of an organization today. No organization can run without its Human Resource In today highly complex and competitive situation, choice of right person at the right place at the right time has far implication for an organization’s functioning. An employee well selected and well placed would not only contribute to the efficient running of the organization but also offer significant potential for future replacement Thus hiring is an important function. Recruitment Programs are organized in discipline manner by preparing training budget, training calendar and supported by training rules and regulations. Training and Development is backbone of the organization as it helps to improve and enhance employee’s skills. knowledge, talent, behavior and overall personality development that increases Productivity.

How Much Have We Learned about Consumer Research? A Meta-Meta-Analysis

Abstract This meta-meta-analysis study quantifies the development of scientific knowledge in consumer research by summarizing the findings of 222 meta-analyses that together include 2481 meta-analytic effect sizes. The results provide an overview of how much we know and how knowledge has developed in consumer research over time. By explaining 7.8% variance (r = 0.28) in consumer-relevant dependent variables, the findings show that consumer research, a comparatively young discipline, is relatively effective at knowledge development compared to other disciplines. Furthermore, the accumulation of knowledge is significantly increasing, suggesting that our discipline is still in the growing phase of its life cycle and generating continuously improving explanations of consumer-related phenomena. The development of knowledge varies across consumer-relevant dependent variables, with strong explanations for relationships but significantly weaker ones for memory, affect, and attitudes. Moreover, the knowledge synthesized in meta-analyses is fairly—though not fully—representative of the content of primary research on consumers overall. The findings convey a future research agenda by identifying under-researched areas, advising on the selection of dependent variables, providing indicators for the expected contributions of future studies, suggesting implications for career strategies of consumer researchers, and discussing explanations for the observed knowledge growth effects.

Internationalization of Chinese Manufacturing Firms: A Perspective from the Uppsala Model

Enhancing firm performance in the turbulent international situation has become an important issue in firm evolution. There has been a large amount of research interest in the rapid development of emerging international firms, but the relevant empirical studies are still limited. The purpose of this study is to investigate three factors that impact firm performance, utilizing the Uppsala model as a main theoretical foundation. Based on empirical analysis of 332 medium and large Chinese manufacturing international firms, this study finds that the degree of internationalization, knowledge development, and commitment processes have positively impact firm performance. This finding contributes to the international business literature's understanding of firm development in emerging markets and enhances the generalizability of the Uppsala model.

Beyond Scarcity: A Social Value-Based Lens for NFT Pricing

Abstract Over the last half-century, consumer research has often depicted scarcity as a dominant factor increasing price. But should we assume that scarcity’s upward pressure on price remains intact, in a world where novel forms of digital products proliferate? In this article, we propose that blockchain-encrypted digital goods, in particular, non-fungible tokens (NFTs), offer good reason to revisit this assumption. In this context, we argue and find that social value can outweigh intrinsic value as a determinant of willingness-to-pay. As a result, when scarcity threatens access to high levels of social value, its effect on price can be negative rather than positive—an inversion of a pattern typically observed for offline collectibles. Secondary data taken from the NFT platform Opensea and a set of experimental studies support this social value-based lens. Given these findings, we propose a research agenda to ground future work in this area. We also suggest that NFTs offer a laboratory in which past theories related to social value, scarcity, and price can be reconsidered and future theories developed, hopefully allowing consumer researchers to lead knowledge development in these domains over the next 50 years.

Patient Satisfaction: The Role of Artificial Intelligence in Healthcare

Applications of artificial intelligence (AI) can be seen in almost every aspect of the healthcare system, as it has potential to affect almost every facet of the healthcare, from detection of ailments and serious or complex chronic diseases to their control, prevention and cure. With technological innovations, upgradation and adoption in the field of healthcare, healthcare professionals are required to be well prepared to accept the continuously evolving technology and its application to provide best healthcare facilities, which gave rise to the various studies on the role of the machine learning (ML), AI, deep learning (DL), etc., in the field of healthcare. Similarly, the rise in digitalised hospitals, medical facilities, records and data has resulted in the improvisation in the field of healthcare, which in turn has increased the need of experts, professionals, experienced and digitally literate workforce teams in the field of entire healthcare system. Understanding the roles of these advanced technologies, impacts being created on the health, lifestyle and the entire healthcare system, along with the perception of the patients towards it, will shape the way for the improvements and the applications of AI and its outcomes to be achieved, resulting in healthier world for the patients and the society. The objective of the study is to create a patient satisfaction model and validate it with respect to factors influencing patient satisfaction of several patients undergoing AI treatment factors. In the study, the United States, Canada, Australia, UAE and China were chosen as a place of survey, as these are advanced countries and the use of AI is highest in these countries compared to other countries, and survey was done with the help of structured questionnaire. In our earlier study, exploratory factor analysis (EFA) was performed for initial knowledge development on the construct of patients undergoing AI treatment. Patient satisfaction rests on six broad dimensions: First factor is personal touch (PT), second factor is comprehensive gap (CG), third factor is answerability (AB), fourth factor is nerve racking (NR), fifth factor is wrong reporting (WR) and sixth factor is enlightened (EL). With the help of confirmatory factor analysis (CFA) and structured equation modelling (SEM), it has emerged from the study that patient satisfaction level of the construct suggests that PT will have a greater impact on patient satisfaction, and it is the most significant factor of patient satisfaction compared to other constructs. Thus, we can conclude that PT still remains the most important factor in the minds of patients before undergoing AI treatment.

Exploring history teachers’ understanding of the role of professional learning communities in enhancing curriculum implementation

Exploring history teachers’ understanding of the role of professional learning communities in enhancing curriculum implementation

Global Trends on the Use of Artificial Intelligence in Nursing: A Descriptive and Evaluative Bibliometric Analysis Study

Introduction: In order to have an idea about the use of artificial intelligence in the field of nursing and to determine the developments in applications and research in this field, it is necessary to investigate the characteristics of relevant publications. Aim: The aimed was to examine the characteristics of the current knowledge structure and development process in the field of the use of artificial intelligence in nursing. Methods: In the descriptive and evaluative bibliometric analysis study, data were obtained from Web of Science. All relevant studies conducted between 2004 and 2023 were included in the study. Data analysis was performed using R Biblioshniy software. Two hundred seventy-three studies were included in the study. Results: The most publications (n=86, 31.502%) were made in this field in 2022. The most productive author in the field of nursing and artificial intelligence was Topaz, Maxim. The prominent topics in the studies were "virtual reality, artificial intelligence, nursing, machine learning, simulation, nursing education, education, pain, nursing students, natural language processing, nurses, robotics, deep learning and mental health". Conclusion: There has been a significant increase in the number of studies on the use of artificial intelligence in nursing and this area offers an active field of study for nursing researchers.

Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification

The diffusion of citation knowledge is an important measure of transdisciplinary scientific impact and the diversity of transdisciplinary citation content (sentences). Moreover, combining citation sentiment (CS) and citation aspect (CA) can help researchers identify the attitudes, ideas, or positions reflected in the evolution of scientific elements (e.g., theories, techniques, and methods). This is because of their use by scholars from different disciplines, paving the way toward transdisciplinary penetration and the development of domain knowledge through the proliferation of cited knowledge. However, most studies mainly address citation aspect classification (CAC) and citation sentiment classification (CSC) separately, ignoring their shared features of interactions. In this study, we construct a dataset for transdisciplinary citation content analysis using citations and academic full texts from the Chinese Social Sciences Citation Index (CSSCI), which includes 14,832 manually-annotated citations. Thereafter, we utilized the developed dataset to conduct a transdisciplinary fine-grained citation content analysis by combining CAC and CSC. The objective of the CAC task was to classify transdisciplinary citations into theoretical concepts (TC), methodological techniques (MT), and data information (DI), whereas the CSC task classified citations into positive, negative, and neutral classes. Furthermore, we leveraged a multi-task learning (MTL) model to perform CAC and CSC jointly and then compared its performance to those of several widely-used deep learning models. Our model achieved 83.10 % accuracy for CAC and 80.46 % accuracy for CSC, demonstrating its superiority to single-task systems. This indicates the strong correlation between the CAC and CSC of transdisciplinary citation tasks, benefiting from each other when learned concurrently. This new method can be used as an auxiliary decision support system to extend the analysis of transdisciplinary citation content.