Reviewerly/exHarmony huggingface dataset:
The Deficiency and Reconstruction of Knowledge of China's English Language Education History among University English Language Teachers

Through the investigation and research of 130 university English language teachers' knowledge of China's English language education history, it is found that in the study most university English teachers are deficient in the knowledge of China's English language education History. Specifically, 1) there is a lack of understanding of English language education during the periods of the late Qing Dynasty and the Republic of China; 2) there is a shortage of mastery of the development history of English language education in China from decline to prosperity since 1949; 3) most university English language teachers fail to grasp the important historical figures and educational ideas related to China's English language education; and 4) it is no deeper perception of the development and application of English language education technology in China. In view of these, this study explores the causes of the problem from three levels of teachers themselves, school education and teaching reform and education authorities, and puts forward countermeasures and suggestions from three perspectives of education authorities, schools and teachers themselves in order to improve university English language teachers' knowledge of China's English language education history.
EFFECTS OF CORPORATE SOCIAL RESPONSIBILITY ON FINANCIAL PERFORMANCE OF MICROFINANCE BANKS IN RWANDA: A CASE OF UNGUKA BANK PLC (2012-2021)

This study established the effects of corporate social responsibility on financial performance of microfinance banks in Rwanda: A case study of Unguka Bank Plc undertaken within period of 2012-2021. The specific objectives were to analyze indicators of financial performance of Unguka Bank Plc and to assess the relationship between corporate social responsibility and financial performance of Unguka Bank Plc. Data was collected by using documentary analysis where quantitative technique was employed. Data was gathered from Unguka Bank Plc financial statements, archives and integrated reports and the data was analyzed by using regression and correlation analysis with the help of Stata to get relevant information. Findings showed that the indicators of financial performance of Unguka Bank Plc were good as indicated by both ratios such ROE and ROA among others. The researcher found that there is a strong positive relationship between CSR and financial performance of Unguka Bank Plc. Corporate social responsibility has statistically significant and strong effect on financial performance of Unguka Bank Plc with p-value is 0.0002 and R-Square of 91.47%. The researcher recommended that Unguka Bank Plc should increase amounts invested in corporate social responsibility and integrate corporate social responsibility as part of its core business in order to improve its indicators of financial performance. Key words: Corporate Social Responsibility and financial performance CITATION: Nibasumba, F., &amp; Tumusherure, W. (2022). Effects of corporate social responsibility on financial performance of microfinance banks in Rwanda: A Case of Unguka Bank Plc (2012-2021). The Strategic Journal of Business &amp; Change Management, 9 (4), 1710 – 1727.
EFFECT OF DYNAMIC MANAGERIAL CAPABILITIES ON FIRM PERFORMANCE: EVIDENCE FROM TRAVEL AGENCIES AND TOUR OPERATORS IN KENYA

The purpose of this research was to investigate the effect of dynamic managerial capabilities on firm performance in travel agencies and tour operators in Mombasa County, Kenya. Specifically, the research sought to investigate the effect of managerial human capital capability, managerial social capital capability, and managerial cognition capability on firm performance in travel agencies and tour operators in Mombasa County, Kenya. Drawing on the resource-based theory, dynamic capabilities theory, and dynamic managerial capabilities theory, the research utilized a positivist research philosophy and a non-experimental research methodology. The research utilized a correlational cross-sectional survey design for testing non causal relationships among variables. Stratified random sampling technique was used to select a sample size of 29 travel agencies and 86 tour operators in Mombasa County, Kenya. A cross-sectional survey-based approach was used to collect primary data gathered using self-administered structured questionnaires delivered through the drop and pick method. Data was processed and entered into the statistical package for social sciences (SPSS) version 26 to create a data sheet to be used for analysis. Data was analyzed using descriptive and inferential statistics . Pearson’s product moment correlation analysis was performed to confirm or deny the relationship between the variables. Multiple linear regression analysis was used for hypotheses testing. Results showed that dynamic managerial capabilities had direct positive effect on firm performance. The findings indicated that managerial human capital capability , managerial social capital capability, and managerial cognition capability were able to positively and significantly predict firm performance. Managers and policy makers within the travel and tourism sector should to focus on strengthening dynamic managerial capabilities to improve the performance of travel agencies and tour operators as they recover from the COVID-19 crisis. This research generates novel insights into how dynamic managerial capabilities predict firm performance in the context of travel agencies and tour operators. However, the current research has a number of limitations, some of which offer fruitful avenues for future research. Future research could examine into how dynamic managerial capabilities predict firm performance in other sectors or in other regions. Key words Dynamic managerial capability, Dynamic managerial cognition capability, Dynamic managerial human capital capability, Dynamic managerial social capital capability, Firm performance CITATION: Mwajambia, R. H.,&amp; Kising’u, T. M. (2022). Effect of dynamic managerial capabilities on firm performance: Evidence from travel agencies and tour operators in Kenya. The Strategic Journal of Business &amp; Change Management, 9 (2), 645 – 665.
ADOPTION AND USE OF ELECTRONIC INFORMATION RESOURCES BY ECONOMISTS AT THE NATIONAL TREASURY AND PLANNING, NAIROBI COUNTY, KENYA

This study investigated adoption and use of electronic information resources by economists at Kenya National Treasury and Planning in Nairobi County with a view to proposing interventions to enhance e-resources awareness, usage and adoption. The study used descriptive survey design to collect qualitative and quantitative data from respondents using questionnaires and interviews as primary data collection instruments. Sample size was 118 respondents out of a population of 230. The study used purposeful sampling techniques to sample 112 Economists, 3 librarians, 1 ICT head, 1 head of library services and 1 head of Economic Planning department. A pilot study of 8 respondents at the Ministry of Industrialization, State Department of Trade helped refine research instruments. Statistical Package for Social Sciences (SPSS) was used to analyze quantitative data and represented the same in percentages, pie charts, graphs and tables for better interpretation. Content analysis approach was used to analyze qualitative data. Findings showed that electronic resources available included e-books, e-newspapers, e-journals and online databases. There was high awareness, adoption and use of electronic resources by economists. Effort expectancy, performance expectancy, social influence and facilitating conditions influenced the adoption and use of electronic resources by Economists. This study has implications on staff information literacy training, current and future funding of electronic resources and efficacy of various interventions undertaken by management to enhance electronic resources used by economists. It was recommended that National Treasury and Planning upgrade ICT and library facilities to allow remote access; digitize local content and train economists on search and retrieval Skills to enhance their competencies in the digital environment. Keywords: Kenya National Treasury; Kenya Economists; Electronic resources awareness; Electronic resources adoption; Electronic resources usage; Digital resources; E-Resources CITATION: Mboji, J., Amoth, D., &amp; Odero, D. (2022). Adoption and use of electronic information resources by economists at the national treasury and planning, Nairobi County, Kenya. The Strategic Journal of Business &amp; Change Management, 9 (2), 1489-1501.
MANAGEMENT LEADERSHIP STYLE ON EMPLOYEE SATISFACTION IN COMMERCIAL BANKS, COUNTY GOVERNMENT OF KAKAMEGA; KENYA

Management Leadership Style is normally a function of Organization Culture that reflects basic assumptions and beliefs that are shared by members of the organization. Current statistics in the Commercial Bank sector shows that there are indeed high levels of labour turnover in the Banking sector. The objective of the study was to determine the influence of management Leadership Style on employee satisfaction of the Commercial Banks in the County Government of Kakamega; Kenya. The study employed Descriptive research design. The target population were the employees of Commercial Banks in the County Government of Kakamega; Kenya. Sample applied, was determined by use of Krejcie and Morgan Formula. The questionnaire was the instrument for primary data collection. Quantitative data was analyzed using descriptive statistics (means and other central tendencies) and presented through percentages, means, standard deviations and frequencies. Inferential statistics was applied to carry out correlations analysis, bivariate and multiple linear regression analyses to test for degree of association (correlation) between and among variables in relation to the influence of management leadership style to Employee Satisfaction in the County Government of Kakamega; Kenya. The results of the study indicated Management Leadership Style has significant influence on Employee Satisfaction of Commercial Banks in the County Government of Kakamega; Kenya. Key Words: Management Leadership Style, Organization Culture, Employee Satisfaction CITATION: Shinavuli, A. M., Kadima, M. J., &amp; Juma, D. (2022). Management leadership style on employee satisfaction in commercial banks, county government of Kakamega; Kenya. The Strategic Journal of Business &amp; Change Management, 9 (1), 31 – 44.
INFLUENCE OF FINANCIAL SUSTAINABILITY STRATEGIES ON PERFORMANCE OF UNIVERSITIES IN RWANDA. A CASE OF UNIVERSITY OF KIGALI MUSANZE CAMPUS (2017-2020)

The aim of this study was to analyse the influence of financial sustainability strategies on performance of Universities in Rwanda. Under four specific objectives; to analyse whether resource allocation influences performance of Uok Musanze Campus ; to investigate the influence of students’ recruitment strategies on the performance of University of Kigali Musanze Campus ; to determine whether diversification strategy influences the performance of Uok Musanze Campus ; to establish a moderating influence of education policy and experience of employees on performance of Uok Musanze Campus. This study adopted a descriptive research design, quantitative approaches were used. The study used universal sampling technique as 65 respondents were used as total population and sample size of research. The primary and secondary data were collected using questionnaire and documentary as data collection instruments. After the data collected were organized, edited and coded, quantitative data were entered into SPSS 20. The significance of the findings was tested using ANOVA. The p-value was used to determine whether the null hypothesis should be accepted or rejected. If the p-value is less than 0.05 then alternative hypothesis is accepted while null hypothesis is rejected. The results of the findings indicated that the regression coefficient (R) = 0.974, 0.863, 0.934, 0.901 showed that there was a strong positive relationship between resource allocation, students ‘recruitments strategies, diversification strategy and education policy and experience of employees respectively and performance of university. Based on the findings, the study concluded that financial sustainability strategies have a significant influence on performance of university and also the study recommended that private universities of Rwanda to prioritize income generating strategies in relation to education and also University of Kigali to prioritize resource allocation to industrial visit and research to ensure qualified students fit to the markets. Key words : Financial Sustainability, Strategies, Performance CITATION: Uwamahoro, O., Maringa, K. E., &amp; Mudakemwa, A. (2022). Influence of financial sustainability strategies on performance of universities in Rwanda. A case of university of Kigali Musanze Campus (2017-2020). The Strategic Journal of Business &amp; Change Management, 9 (2), 277 – 304.
Learning Graph Databases: Neo4j an overview

As the internet is growing day by day, the amount of data being generated is huge. This data includes structured data and unstructured data. The data along with its relationship with other data makes the most powerful and meaningful information. Maximum data exists in the form of the relationship between different or same objects and the noticeable thing is the relationship between the data is more important than the data itself. These relationships are handled efficiently by Relational databases that store data having structures and which have several records. The important point to be noted here is that these Relational database management Systems use tables with normalization concept. If the amount of data in such tables is huge, then handling such a large amount of data with its relationships is a tedious task. Here, Graph Databases come into picture. Entities and their relationships in relational databases will be reflected with nodes and relationships in graph databases. Graph databases provide very simple data model than databases with Online Transaction Processing systems. Graph databases provide features such as transactional integrity and operational availability. This paper introduces the idea of graph database systems in conjunction with Neo4j encompassing its query features, consistency, transactions, availability, and scaling.
Research on the Optimization of the Teaching System of Human Resource Management Course of "New Business" under the Psychological Analysis of the Phenomenon of "Valuing Learning over Thinking"

Big data, artificial intelligence, the Internet of Things, block chain and other technologies have given new impetus to business change, and new forms and business models have emerged in an endless stream. Enterprises continue to adjust the standards of employment, prompting schools to accelerate the reform of talent training. Therefore, the cultivation of "new business" composite talents has become the direction of the reform of business professional talents training under the background of "new liberal arts" construction. The research on curriculum reform of "New Business" has always been a test ground for the transformation and upgrading of business education, providing a favorable guarantee for the improvement of the quality of business education. At present, China is in the transition period of economic and social development. Under the influence of The Times, post-00s college students' thinking mode, behavior mode, value system and cognitive inertia gradually show a trend of "emphasizing learning over thinking", that is, under the influence of utilitarianism and pragmatism, they only focus on learning. They only deal with the "cramming" and "filling" teaching requirements and examinations based on mechanical memorization, without deep thinking to explore innovation and the combination of what they have learned and reality. In this context, in the process of continuous development, Haojing College explores its way forward under the influence of background factors such as student characteristics and social needs, and strives to truly cultivate application-oriented talents with great ambition, professional knowledge, practical ability, comprehensive quality, distinctive characteristics, innovative spirit and innovative ability. The optimization of professional curriculum system and teaching reform are the essential core links.
Deep learning based face recognition algorithm optimisation and application exploration

Face recognition, an integral biometric identification technology, holds immense potential across domains such as security surveillance, human-computer interaction, and identity authentication. Leveraging the rapid advancement and extensive adoption of deep learning methodologies, face recognition algorithms rooted in deep learning have exhibited substantial advancements, particularly in augmenting recognition precision and resilience. Consequently, a meticulous investigation into the optimization and practical implementation of deep learning-based face recognition algorithms assumes paramount significance. In the ensuing discourse, our focus converges on the meticulous optimization and pragmatic application of face recognition algorithms founded upon deep learning paradigms.
Abnormal Event Detection and Localization Based on Crowd Analysis in Video Surveillance

With the rapid development of economy and urban construction, abnormal events detection has arouse spread attention in need of public security. When an abnormal event occurs, the pedestrians in crowd escape or run instinctively which will lead to sharp change in the collectiveness feature and kinetic energy of crowd. This paper proposes a method based on the Collectiveness Energy Index (CEI) which combines the two features mentioned above to detect the abnormal events because it is not unreliable to utilize either of the two features singly. Besides, this paper also presents a means to locate abnormal behaviours in the anomalous scenes. Firstly, we obtain spatial coordinate of particles existed on individuals in each frame using generalized Kanade-Lucas-Tomasi key point tracker (gKLT). Then, the Collectiveness Energy Index (CEI) of each frame is calculated and compared with an adaptive threshold for abnormal events identification. In order to locate abnormal behaviours, this paper splits each input frame of video sequences into blocks without overlapping and then calculates the velocity and individual collectiveness of each block for classifying it as anomalous or not. Experiments conducted on UMN dataset and UCSD dataset verify the effectiveness and superiority of our detection and localization method.
KAPE: <i>k</i> NN-based Performance Testing for Deep Code Search

Code search is a common yet important activity of software developers. An efficient code search model can largely facilitate the development process and improve the programming quality. Given the superb performance of learning the contextual representations, deep learning models, especially pre-trained language models, have been widely explored for the code search task. However, studies mainly focus on proposing new architectures for ever-better performance on designed test sets but ignore the performance on unseen test data where only natural language queries are available. The same problem in other domains, e.g., CV and NLP, is usually solved by test input selection that uses a subset of the unseen set to reduce the labeling effort. However, approaches from other domains are not directly applicable and still require labeling effort. In this article, we propose the k NN-b a sed p erformance t e sting ( KAPE ) to efficiently solve the problem without manually matching code snippets to test queries. The main idea is to use semantically similar training data to perform the evaluation. Extensive experiments on six programming language datasets, three state-of-the-art pre-trained models, and seven baseline methods demonstrate that KAPE can effectively assess the model performance (e.g., CodeBERT achieves MRR 0.5795 on JavaScript) with a slight difference (e.g., 0.0261).
Comparison of Classifiers with Application on DCE-MRI and Preterm Birth

Abstract: Cervical cancer and Preterm birth in a pregnant woman is the most serious issues. The aim of our study was to compare different classifiers with SVM and its application. Various statistical methods are proposed to predict special factors. In this probability distribution is used to predict the desired outcome. However, most of the times enough information about the probability distribution is not available. In such situation, we need well predictors with minimum assumptions. Support vector machine (SVM) is a good statistical method for prediction. First order statistical features of the Brix parameters were used. First and second order features were used as explanatory variables for support vector machine (SVM) classification. Second order GLCM features could significantly predict treatment outcome with more accuracies. The performance of the classifiers is measured in terms of accuracy, specificity, and sensitivity. Finally, the result indicates the SVM classifier generates highest level accuracy, which is higher than other classifiers.
Research on the Space Design Strategy of Pension Buildings Based on the Internet of Things Technology

With the advent of population aging, the demand for space of old-age buildings is increasing. Compared with other developed countries, the current situation of aging buildings in China is in urgent need of improvement. Facing the rapid development of emerging technologies such as the Internet of Things and big data, it also brings new opportunities to the space design of old-age buildings. This paper explores the new directions and new means of the space design strategy of pension buildings with the support of the Internet of Things technology, and creates intelligent space in the interior, so that the elderly can also experience the life happiness brought by intelligent design.
Pelanggaran Prinsip Kerja sama dalam Debat Pemilihan Umum Calon Presiden 2019

Violation is an act or case of violating applicable rules or regulations. Speakers and speech partners in communicating must comply with the principle of cooperation, but in the 2019 Presidential Candidate General Election debate the author found speeches that violated the principle of cooperation. This is what makes the author interested in conducting this research entitled "Violation of the Principle of Cooperation in the 2019 Presidential Candidate General Election Debate". This study aims to determine the violation of the Principles of Cooperation in the 2019 Presidential Candidate Election Debate. The problem in this research is how the violation of the principle of cooperation in the 2019 presidential election debate. The theory used by the author is the theory of Grice in Wijana (1996), and Grice in Rahardi (2005). This research falls within the scope of pragmatics, in particular the principle of cooperation. Sources of data in this study are the entirety of the speeches between the debate moderators and the pairs of presidential and vice presidential candidates for the 2019 presidential election debate, while the data in this study are all violating speeches in the five debate sessions on the 2019 presidential candidate general election. The method I use is the method content analysis, the type of research is library research, and the research approach is a qualitative approach. Data collection techniques are carried out through documentation techniques, hermeneutic techniques. The conclusion in this study is that the results of violation of the maxim of cooperation principle from the first debate to the fifth debate, the speech violating the maximal quantity of 14 speeches, maxim of quality of 25 speeches, maxim of relevance of 26 utterances, maxim of implementation or way of 19 utterances, the tendency of speech participants in the debate with partners said many violate the principle of cooperation.