Effectiveness of structured teaching program on knowledge and attitude toward foot care

Objective:The study was aimed to assess the knowledge and attitude toward foot care and evaluate the effectiveness of structured teaching program(STP)on the knowledge and attitude of patients with diabetes mellitus regarding foot care.Materials and Methods:A preexperimental research design was used in this study,which was conducted in medical-surgical wards of a secondary hospital in Northeast India,Nagaland.A total of 30 subjects were recruited by consecutive sampling technique.A closed-ended structured questionnaire and 5-point Likert scale was used to assess knowledge and attitude toward foot care.A STP was administered after which posttest was done after 24 h.Results:The majority(86.6%)of the participants in the pretest had inadequate knowledge and 80%had negative attitudes toward foot care.After STP,70%had moderately adequate knowledge and 53.3%had a positive attitude regarding foot care.The structured teaching program was effective in improving the knowledge and attitude at P<0.01 which is highly significant and there was a significant association between the pretest level knowledge and duration of diabetes at P<0.01.Conclusion:STP was effective in enhancing the level of knowledge and attitude toward foot care among diabetic inpatients.This type of interaction can be organized at regular intervals to reinforce knowledge and attitude toward foot care among inpatients.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

Structure of Chinese City Network as Driven by Technological Knowledge Flows

Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows.The results revealed the spatial structure,composition structure,hierarchical structure,group structure,and control structure of Chinese city network,as well as its dynamic factors.The major findings are:1) the spatial pattern presents a diamond structure,in which Wuhan is the central city;2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network,it is weaker than the utility model patent;3) as the senior level cities,Beijing,Shanghai and the cities in the Zhujiang(Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge;4) whilst a national technology alliance has preliminarily formed,regional alliances have not been adequately established;5) even though the cooperation level amongst weak connection cities is not high,such cities still play an important role in the network as a result of their location within ′structural holes′ in the network;and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity,hierarchical proximity and technological proximity.

Safety evaluation system for hydraulic metal structures based on knowledge engineering

A comprehensive safety evaluation system taking the most influential factors into account has been developed to evaluate the reliability of hydraulic metal structures. Applying the techniques of AI and DB, the idea of a one-machine and three-base system is proposed. The framework of the three-base system has been designed and the structural framework constructed in turn. A practical example is given to illustrate the process of using this system and it can be used for comparison and analysis purposes. The key technology of the system is its ability to reorganize and improve the expert system＇s knowledge base by establishing the expert system. This system utilizes the computer technology inference process, making safety evaluation conclusions more reasonable and applicable to the actual situation. The system is not only advanced, but also feasible, reliable, artificially intelligent, and has the capacity to constantly grow.

Evolution of the Socio-cognitive Structure of Knowledge Management(1986–2015): An Author Co-citation Analysis

Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submitted to author co-citation analysis(ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships.Findings: KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015.Research limitations: Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research.Practical implications: These results might be useful for managers and academicians to understand the evolution of KM field and to(re)define research activities and organisational projects.Originality/value: The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.

Evaluation of Nutrition and Physical Activity Knowledge, Attitudes, Self Efficacy and Behaviors in Teachers and Children after Implementation of the “Healthy Active Kids” Online Program in Australian Elementary Schools

The aims were to examine change in nutrition and physical activity knowledge, self efficacy and attitudes in a cohort of 23 teachers and 304 year 5 and 6 children after the “Healthy Active Kids” online program and to assess any behavioral change in children’s self reported nutrition and physical activity behaviors and investigate the predictors of nutrition knowledge gain in teachers and children. Results found significant (p < 0.0001) increases in teacher and student knowledge of the five food groups;key nutrients provided by each food group, The Australian Guide to Healthy Eating;food labelling laws, identification of common names for fats, sugars and salts on food labels, food proportions on the Healthy Food Plate and the level and percentage of water in the human body and human brain. Teacher attitudes towards the importance of nutrition and diet and self efficacy related to teaching nutrition in class improved (p < 0.01). The final regression model for predictors of the dependent variable, knowledge gain in students was R = 0.53, Adjusted R square = 0.28 (F = 4.76, p < 0.01) indicating that 28% of the variation in knowledge gain was predicted by the negative (low) Time 1 knowledge. Changes to eating habits reported by children were “drinking more water each day” (89.1%) and “eating foods from the five food groups each day” (76.2%);“sharing information about food labels with your family” (52.4%);“reading food labels when you go shopping” (50.0%);“changing what is on your dinner plate each night” (44.2%);“vegetables that you eat now that you didn’t eat before” (42.1%) and “fruits that you eat now” (39%). Results suggest that the development of basic nutrition knowledge is still very important for both teachers and students, but that other factors such as self efficacy, empowerment and skill development also contribute to nutrition behavior change in children.

Knowledge of Cervical Cancer and Practice of Pap Smear Testing among Secondary School Teachers in Nnewi North Local Government Area of Anambra State, South Eastern Nigeria

Introduction: Cervical cancer is one of the commonest cancers of the female genital tract and accounts for about a hundred and ninety thousand deaths each year, most of which occur in developing countries. Early cervical screening methods have contributed to the fall of cervical cancer deaths in the developed world. This is different in developing countries where people have limited knowledge about this disease condition and the screening methods for prevention. This study determined the knowledge and practice of cervical cancer screening among female secondary school teachers in Nnewi North Local Government Area of Anambra State. Method: This was a cross-sectional descriptive study in which self-administered questionnaires were returned by 142 respondents and results were analyzed using Statistical Package for Social Sciences version 17. Results: The mean age of the respondents was 35.6 ± 1.76 years. A high proportion of the respondents were aware of cervical cancer 106 (74.6%). About 44 (41.5%) knew of cervical cancer screening by Pap smear, out of which only 20.5% had done a pap smear. The most common reasons given for not doing the test were;not deeming the test necessary, not knowing where the test could be done and feeling of not being at risk of developing cervical cancer. Conclusion/Recommendation: Though the level of awareness of cervical cancer screening was high, the level of uptake of Pap smear was still very low. A national cervical cancer Pap smear campaign should be intensified to change the negative perception towards Pap smear test.

Educational Probation Under the Tutorial System and the Construction of English Student Teachers’ Knowledge

This paper attempts to explore effective ways of educational probation to promote the professional development of English student teachers. An empirical study is carried out to compare the teachers’ knowledge level of 91 normal students under three different educational probation modes: tutorial system, non-tutorial system, and routine system. Quantitative analysis shows that except English knowledge, the tutorial system is more conducive to promoting normal students’ mastery of educational theory knowledge, general curriculum knowledge, English curriculum knowledge, English teaching knowledge, and students’ knowledge, and the development of these kinds of knowledge is relatively balanced. This study is helpful for teacher educators to provide guidance and help for pre-service English teachers to maximize the benefits of educational probation.

The Effect of Language Proficiency on the Teaching Knowledge Acquisition of English Student Teachers——Comparison of Three Repetitive Lessons

Based on the framework of classroom teaching learning process analysis, this study explores the relationship between language proficiency and the acquisition of teaching knowledge in the sample of three English repetitive lessons in senior high school by two English student teachers. After quantitative and qualitative analysis, it was found that the higher the level of language, the greater the improvement of teaching knowledge;the student with high language level has made rapid progress in teaching design, slow progress in teaching management and student learning, while the progress of the student with low language level is slow in all aspects. This study has important reference value for pre-service foreign language teacher education.

Structure, Evolution and Hot Spots of Cooperation Innovation Knowledge Network

Based on the statistics analysis of cooperation innovation articles, the paper analyses the distributing characteristics of cooperation innovation research papers. The distribution, structure and evolution of cooperation innovation research are studied through the social network and co-word method, combined with the information visualization technology. This study is based on the papers in the SSCI database during 2000-2014. The analysis and statistics of papers reveal distribution characteristics of the subject, time, institutions, countries and areas. The statistics shows that the research perspective of cooperation innovation from business and economics. The time distribution presents that research of cooperation innovation attracts enormous attention and the research achievement is increasing. From the distribution of organizations, countries and areas, North America and Europe countries maintain the leading position in this research field. But institutions and universities of China and other Asian countries or areas are witnessed their outstanding achievements in cooperation innovation research. Combining the co-word network analysis method, the paper studies the structure and content of cooperation innovation knowledge network in five stages and makes the net spectrum, visually showing the hot spots at various periods. The top highly cited papers in all five stages are reviewed simultaneously;their research hot spots and evolution process are concluded. The study shows 11 subjects including strategic alliances, social networks, R&D cooperation, R&D, technology transfer, alliances, knowledge management, social capital, entrepreneurship, trust, biotechnology are always the central issues in last 15 years. The focus of research is from the relationship between alliance and technology innovation to networking and knowledge innovation and then to open innovation.

Exploring Teachers' Personal Practical Knowledge through Narrative Inquiry——A Case Study on a College English Teacher

Teachers play an important role in the successful implementation of the current curriculum innovation and their personal practi cal knowledge is a decisive factor in their teaching and that teachers' knowledge affects every aspect of the teaching act.This paper tries to explore teachers' personal practical knowledge of a college English teacher and her reading class.It shows how to present her teaching contents,design teaching methods and activities in order to accomplish her teaching tasks and teaching goals.The study combines narrative analysis of the reading design with a process inquiry about teaching and learning.Hopefully,the findings would shed some light on teach ers' professional development.

Mathematics Knowledge of Proof in Geometry： Pre-Service Teachers＇ Perspectives

This article is based on research on pre-service teachers＇ perspectives on their mathematics knowledge of proof in geometry. The study was framed using tile mathematical knowledge for teaching framework. This qualitative study employed the use of a task-based worksheet, focus group sessions and semi-structured individual interviews. The task-based worksheet was completed by 180 pre-service mathematics teachers （second, third and fourth year mathematics education students）. Pre-service mathematics teachers are student teachers who have not yet completed their training to become teachers. After the analysis of the task-based worksheet, 20 participants were invited to participate in focus group sessions and individual interviews. The findings of the study reveal that the participants possess peripheral mathematics knowledge of proof in geometry. The study aims at assisting pre-service teachers and interested educationists to explore innovative methods of acquiring and imparting mathematics knowledge of proof in geometry. The study proposes possible changes in curriculum at school and university level.

Challenges and Strategies for Teachers'Knowledge Management in the"Internet Plus"Era

In the"Internet Plus"era,teachers use Internet platforms and tools for knowledge management.The Internet has triggered‘knowledge explosion’.This phenomenon has brought a series of challenges to knowledge management,such as information overload,knowledge fragmentation,knowledge inertia and so on.In view of the above challenges,we should adopt the strategies,such as,establishing a knowledge database for teachers,giving offline knowledge management media a networked label information,creating a network atmosphere for knowledge sharing,and building a networked knowledge management environment,so as to promote the healthy development of"Internet plus education".

A Systemic Functional Linguistics Approach to Knowledge Structure in Educational Discourse

This paper makes a literature review of Bernstein＇s knowledge structure theory and its influence on systemic functional linguistics. Then it explores systemic functional linguists＇ research on knowledge building and discusses Martin＇s theory of field as a powerful tool to analyze the knowledge structure in educational discourse.

Effectiveness of structured teaching programme on knowledge regarding therapeutic nurse- patient communication among the staff nurses

Introduction:The therapeutic nurse patient relationship is viewed as central or foundational to the practice of nursing.Such relationship not only improve patients’physical and emotional state but also facilitate their adjustments to their illness,ease pain and can ultimately lead to a good health experience.Methodology:The pre experimental one group pre test post test study was undertaken to assess the effectiveness of structured teaching programme on knowledge regarding therapeutic nurse-patient communication among the staff nurses working in SGT Hospital,Haryana.Total 30 study participants were selected by convenient sampling technique and Data were collected by using a structured knowledge questionnaire.Result:The findings of the study revealed that half of the participants 50%had average and poor knowledge regarding therapeutic nurse patient communication in the pre test.Similarly,the post test scores depicted that majority(63%)had average knowledge and 37%had good knowledge regarding therapeutic nurse patient communication.Most of the demographic variable was not significantly associated with level of pre knowledge of staff nurses regarding therapeutic nurse patient communication.Only staff nurses years of experience P=0.021 were found to statistically significant at 0.05 level of significance.There was significant difference between the knowledge of staff nurses before and after the implementation of structured teaching programme(t=11.844,P=0.0001).Conclusion:It was concluded that structured teaching programme was effective strategy which can help to increase their knowledge regarding therapeutic nurse patient communication.

Analysis on the Causes of Existing Problems of Professional Knowledge of Western Rural Teachers Under the Urban and Rural Educational Planning Background

This paper adopts the self-designed questionnaire to make investigations and interviews with the rural middle and primary school teachers in Chengdu and Chongqing districts about the professional development problems of western rural teachers, and refers to the educational literature materials in western rural areas. Through a comprehensive analysis, it is known that the professional knowledge status of western rural teachers is worrying, and the reason is mainly caused by the location, policy, economy, society, continuing education and teachers＇ own factors.

Study on the Interior Market Network Structure and Its Efficiency in a Knowledge Based Company

A knowledge based company is the microcosmic foundation of the knowledge economy, the design of its organization structure should amplify the company competence to be agile to the knowledge elements. This paper expounds an interior market network structure which is fit for the company intellectual capital operation, and analyses this organization pattern about the reasons of existence, the effectiveness of growing up in scale, the economies of knowledge distribution and the efficiency of operation, and it will provide some beneficial theoretical guidance about how can a company improve its competition competence in the knowledge environment through organization innovation.

Narrative Inquiry into Knowledge Generation in Teacher and Learner Learning Community

Narrative inquiry is applied to discuss the knowledge generation in teacher and learner learning community,which consists of one English teacher and 27 freshmen in a university in China.It is based on the social constructivism and cooperative learning theories.With the guidance of constructivists' knowledge conception,it aims to illuminate how knowledge is generated in a learning community.Class observation,interview,and journals were applied to collect data in the research.Analysis of the data enables the researcher to arrive at the argument that learners' prior personal and students themselves as knowledge resource are vital for knowledge generation.Furthermore,learning community provide a safe context for knowledge generation.

New Knowledge-based Genetic Algorithm for Excavator Boom Structural Optimization

Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is proposed. A dual evolution mechanism combining knowledge evolution with genetic algorithm is established to extract, handle and utilize the shallow and deep implicit constraint knowledge to guide the optimal searching of genetic algorithm circularly. Based on this dual evolution mechanism, knowledge evolution and population evolution can be connected by knowledge influence operators to improve the conflgurability of knowledge and genetic operators. Then, the new knowledge-based selection operator, crossover operator and mutation operator are proposed to integrate the optimal process knowledge and domain culture to guide the excavator boom structural optimization. Eight kinds of testing algorithms, which include different genetic operators, arc taken as examples to solve the structural optimization of a medium-sized excavator boom. By comparing the results of optimization, it is shown that the algorithm including all the new knowledge-based genetic operators can more remarkably improve the evolutionary rate and searching ability than other testing algorithms, which demonstrates the effectiveness of knowledge for guiding optimal searching. The proposed knowledge-based genetic algorithm by combining multi-level knowledge evolution with numerical optimization provides a new effective method for solving the complex engineering optimization problem.

IndRT-GCNets: Knowledge Reasoning with Independent Recurrent Temporal Graph Convolutional Representations

Due to the structural dependencies among concurrent events in the knowledge graph and the substantial amount of sequential correlation information carried by temporally adjacent events,we propose an Independent Recurrent Temporal Graph Convolution Networks(IndRT-GCNets)framework to efficiently and accurately capture event attribute information.The framework models the knowledge graph sequences to learn the evolutionary represen-tations of entities and relations within each period.Firstly,by utilizing the temporal graph convolution module in the evolutionary representation unit,the framework captures the structural dependency relationships within the knowledge graph in each period.Meanwhile,to achieve better event representation and establish effective correlations,an independent recurrent neural network is employed to implement auto-regressive modeling.Furthermore,static attributes of entities in the entity-relation events are constrained andmerged using a static graph constraint to obtain optimal entity representations.Finally,the evolution of entity and relation representations is utilized to predict events in the next subsequent step.On multiple real-world datasets such as Freebase13(FB13),Freebase 15k(FB15K),WordNet11(WN11),WordNet18(WN18),FB15K-237,WN18RR,YAGO3-10,and Nell-995,the results of multiple evaluation indicators show that our proposed IndRT-GCNets framework outperforms most existing models on knowledge reasoning tasks,which validates the effectiveness and robustness.