Reviewerly/exHarmony huggingface dataset:
Impact of Transformational and Transactional Leadership styles on Employee Performance with Mediating Effect of Affective Commitment: A Study of Banking Sector of Pakistan

The research was escorted to probe the correlation between leadership styles on employee production through the mediation of Affective commitment in the National Bank of Pakistan. Simple random sampling was used to carry out the research using structured questionnaires, which were adopted from other researchers studies. The questionnaires were based on a five-point Likert scale measuring all variables.144 questionnaires were distributed among middle-level employees of the National Bank of Pakistan, out of which all 144 were useable. This data was analyzed using SPSS. The descriptive statistics indicated a productive association between transformational &amp; employee performance and show significant effect with that the other variable Transactional leadership shows significant positive impact on employee performance, whereas Affective commitment did mediate the relationship between independent variables &amp; dependent variables.
Basic Research on Parameter Tuning Skills Evaluation Based on Sensor Car Behavior Data in Technology Education

The "Future Investment Strategy 2018" presented by the Cabinet Office in 2018 states that there is an urgent need to develop human resources who can use AI to achieve the goal of Society 5.0.As a part of this strategy, programming education in primary/secondary level of education is being promoted.However, there are some issues in the quantitative evaluation of learning and teaching methods based on evaluation.In this paper, sensor car teaching materials will be used to teach programming.Then, a new lesson is proposed to tune the optimal parameters by quantitative evaluation.The results of the university students practice of the proposed lesson was explained.
Proposing a Library Consortium Model for National Development in Zimbabwe

Globally library cooperation and collaboration is transforming the scholarship landscape as academic libraries battle to survive amidst escalating costs of subscriptions. Zimbabwe is no exception to this phenomenon as evidenced by the development of local consortia for resource sharing. The main purpose of the research is to gather the views of librarians on the need for a library consortium to support national development in Zimbabwe. The researcher used a mixed method approach. Zimbabwe does not have national library consortium for nationwide access to information. Such a consortium is key to harnessing the collective buying power of member institutions to negotiate and guarantee license agreements for digital content. The study recommends a federated library consortium model built on lessons learned from other countries. The model elevates library consortium principles of cooperation and collaboration into Zimbabwe’s national development agenda.
An empirical study on the potential of land resources utilization in urban agglomeration development zones based on combination analysis

To alleviate the contradiction between human and land caused by the limitation of land resources and the irreversibility of land use in the development zone of urban agglomeration, 24 indexes were selected from four aspects: land use status, resource security, economic feasibility, and social acceptability to establish the level evaluation index system for the sustainable use of land resources in Baoding high-tech zone; also, the combination weighting method was used to determine the development level. The index weight of land resource utilization potential in the development zone was established. The subjective and objective linear combination was also established to obtain the proportion of subjective and objective. The multi-factor comprehensive evaluation model was used to evaluate the sustainable utilization degree of land in the high-tech zone. The comprehensive analysis of land-intensive use potential was made from five aspects: expansion potential, structure potential, intensity potential, management potential, and the number of years of land available; the analysis of the limiting factors and the combination of these factors of the land in the development zone was made to obtain the natural index after the renovation, and the natural quality potential of the cultivated land renovation was obtained according to the difference of the natural index before and after the renovation. The empirical results show that the high-tech zone’s land-use rationality index is relatively high during 2014-2018. During the evaluation period, the index continued to rise; the high-tech zone's resource security score was low, and there was no change during the evaluation period, which is basically at a low level. During the five years, the high-tech zone’s land-use sustainability has experienced the fluctuation process of first rising and then declining, which is in the stage of medium sustainable development. In the future, the potential for improvement is enormous. The prospect of the high-tech zone’s exploitable land structure is small, and the land structure is relatively reasonable, which is in line with the development orientation of the high-tech site. But the industrial land intensity in the zone also has a specific potential for excavation. The high-value areas of the natural quality potential of the land improvement in the high-tech site are mainly distributed in the west, northeast, and a few in the north and south.
Intelligent Scroll Order Generator Software from View Movements in People with Disabilities

People with motor disabilities face problems such as being able to move around independently, as well as having difficulties to take advantage of the technological tools developed for their rehabilitation.This research is based on computer vision and robotics, and was carried out with the objective of generating displacement orders using smoothed and binarized algorithms to assist the displacement of disabled people.The intelligent software for people with disabilities or motor deficiencies generates movement commands for an acceptable time through visual commands made by the person, by means of communication between the camera and the software, constantly capturing images.The results obtained for the scene (image) is cropped according to the face scene, then the view scene is cropped according to the face scene, and by means of necessary algorithms the pupil must be found; The complexity lies not only in locating the pupil, but also in identifying when a command is being sent and when it is not.Finally, the unit processes the movement command (left and right) to turn the LEDs on and off.
DOES BANK RECAPITALIZATION AFFECT THE PERFORMANCE OF THE BANKING SECTOR? THE EMPIRICAL EVIDENCE

Over the last decade, financial institutions, especially the banking sector across emerging markets, have been faced with forceful recapitalizations as a result of numerous global financial crises.The study aims to investigate the effect of bank recapitalization approaches such as mergers and acquisitions, equity issues and interventions (bailouts) on the performance of the Nigerian banking sector.The notion that bank recapitalization heats up has been discussed and still does not present a proper consensus in the available literature.Therefore, topics that involve research on the strategies of recapitalization and their effects on bank performance are of interest in the literature.A survey method was used to gather data and the responses received from the regional, branch and senior managers in the banking sector were used to analyse and check to see if bank recapitalization actually affects the performance of the banking sector.Structural equation modelling (SEM) results indicated that bank recapitalization is positively related to bank performance.The results further revealed that all the recapitalization approaches have a positive and significant effect on bank performance.Thus, the use of recapitalization mechanisms for undercapitalized banks during crises or normal times is highly encouraged for sustainability and in the banking sector, as the backbone of the economy of any nation.Further suggestions for future research directions are also offered.
The Impact of Computerized Accounting Information Systems Risks on the Quality of Accounting Information

This study aimed to know the impact of computerized accounting information systems risks on the quality of accounting information and to achieve the study objectives, 60 questionnaires were distributed to workers at the administrative levels in Jordanian commercial banks. The number of rounded questionnaires valid for statistical analysis reached 40, i.e. 67% of the distributed questionnaires. The results of the study showed the following: Accounting information systems are exposed to several risks that threaten their security. The study revealed that most of the risks are the result of internal reasons and not external causes, and they arise due to unintended errors or negligence. The risks of computerized accounting information systems affect the quality of accounting information. Based on the results of the hypothesis test, the three null hypotheses were rejected for the study. In light of the results of the study, the researcher recommended a set of recommendations: Holding training courses to raise the practical and scientific qualification in accounting and technology that keeps pace with technological developments in general for employees assigned to operate accounting information systems. Determine the persons authorized to enter the accounting information system and set a password for them.
Comparative assessment of the optical-electronic images segmentation quality by the ant colony optimization and the artificial bee colony

The article discusses the methods of swarm intelligence, namely, an improved method based on the ant colony optimization and the method of an artificial bee colony. The goal of the work is to carry out a comparative assessment of the optical-electronic images segmentation quality by the ant colony optimization and the artificial bee colony. Segmentation of tonal optical-electronic images was carried out using the proposed methods of swarm intelligence. The results of the segmentation of optical-electronic images obtained from the spacecraft are presented. A visual assessment of the quality of segmentation results was carried out using improved methods. The classical errors of the first and second kind of segmentation of optoelectronic images are calculated for the proposed methods of swarm intelligence and for known segmentation methods. The features of using each of the proposed methods of swarm intelligence are determined. The tasks for which it is better to use each of the proposed methods of swarm intelligence are determined.
Cultural and Geographical Influences on Image Translatability of Words across Languages

Neural Machine Translation (NMT) models have been observed to produce poor translations when there are few/no parallel sentences to train the models.In the absence of parallel data, several approaches have turned to the use of images to learn translations.Since images of words, e.g., horse may be unchanged across languages, translations can be identified via images associated with words in different languages that have a high degree of visual similarity.However, translating via images has been shown to improve upon textonly models only marginally.To better understand when images are useful for translation, we study image translatability of words, which we define as the translatability of words via images, by measuring intra-and inter-cluster similarities of image representations of words that are translations of each other.We find that images of words are not always invariant across languages, and that language pairs with shared culture, meaning having either a common language family, ethnicity or religion, have improved image translatability (i.e., have more similar images for similar words) compared to its converse, regardless of their geographic proximity.In addition, in line with previous works that show images help more in translating concrete words, we found that concrete words have improved image translatability compared to abstract ones.
Detecting earthquakes in GNSS station coordinate time series using machine learning algorithms

&amp;lt;p&amp;gt;Earthquakes are natural hazards that occur suddenly and without much notice. The most established method of detecting earthquakes is to use a network of seismometers. Nowadays, station positions of the global navigation satellite system (GNSS) can be determined with a high accuracy of a few centimetres or even millimetres. This high accuracy, together with the dense global coverage, makes it possible to also use GNSS station networks to investigate geophysical phenomena such as earthquakes. Absolute ground movements caused by earthquakes are reflected in the GNSS station coordinate time series and can be characterised using statistical methods or machine learning techniques.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this work, we have used thousands of time series of GNSS station positions distributed all over the world to detect and classify earthquakes. We apply a variety of machine learning algorithms that enable large-scale processing of the time series in order to identify spatio-temporal patterns. Several machine learning algorithms, including Random Forest, Nearest Neighbours, and Multi-Layer Perceptron, are compared against each other, as well as against classical statistical methods, based on their performance on detecting earthquakes from the station coordinate time series.&amp;lt;/p&amp;gt;
Sentiment Analysis of Reader Comments: Automated vs Manual Text Processing

The verbal and structural features of the reader comment, a genre of Internet communication, were studied. The method of sentiment analysis (ParallelDots API) was used to reveal and measure the emotive component of the reader comments (N = 3000) in the English and Russian languages. The results obtained were verified by the manual linguistic text analysis. The experts were specialists in the field of philology of the English and Russian languages (N = 6), students of philology, as well as native speakers of the Russian language for whom English is a foreign language, i.e., their level of proficiency is C1 (N = 4). As a result of the comparison of the data collected through the automated and manual text processing, a number of factors that reduce the reliability of the results of automated sentiment analysis of the reader comments were singled out. Difficulties hindering the objective determination of the sentiment by the program were found in the reader comments in both analyzed languages. This is indicative of the structural similarities between the English and Russian reader comments at the lexical and syntactic levels. The feasibility of the mixed automated and manual text processing in order to obtain more detailed and objective data was demonstrated. The results of this work can be used for comparative studies of two or more languages performed by the method of sentiment analysis, as well as for drawing parallels between the lexical, grammatical, and cultural components of languages.
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents

Text-based games (TBGs) have become a popular proving ground for the demonstration of learning-based agents that make decisions in quasi real-world settings. The crux of the problem for a reinforcement learning agent in such TBGs is identifying the objects in the world, and those objects' relations with that world. While the recent use of text-based resources for increasing an agent's knowledge and improving its generalization have shown promise, we posit in this paper that there is much yet to be learned from visual representations of these same worlds. Specifically, we propose to retrieve images that represent specific instances of text observations from the world and train our agents on such images. This improves the agent's overall understanding of the game scene and objects' relationships to the world around them, and the variety of visual representations on offer allow the agent to generate a better generalization of a relationship. We show that incorporating such images improves the performance of agents in various TBG settings.
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain

In the pursuit of natural language understanding, there has been a long standing interest in tracking state changes throughout narratives.Impressive progress has been made in modeling the state of transaction-centric dialogues and procedural texts.However, this problem has been less intensively studied in the realm of general discourse where ground truth descriptions of states may be loosely defined and state changes are less densely distributed over utterances.This paper proposes to turn to simplified, fully observable systems that show some of these properties: Sports events.We curated 2,263 soccer matches including timestamped natural language commentary accompanied by discrete events such as a team scoring goals, switching players or being penalized with cards.We propose a new task formulation where, given paragraphs of commentary of a game at different timestamps, the system is asked to recognize the occurrence of in-game events.This domain allows for rich descriptions of state while avoiding the complexities of many other real-world settings.As an initial point of performance measurement, we include two baseline methods from the perspectives of sentence classification with temporal dependence and current state-of-the-art generative model, respectively, and demonstrate that even sophisticated existing methods struggle on the state tracking task when the definition of state broadens or non-event chatter becomes prevalent.
Professional Thinking and Socio-Psychological Features of Managers in Education

Introduction. The strategic task of improving the quality of Russian education requires increasing the efficiency of education system management. The authors assume integration of cognitive and personal resources of the subject of activity. The researchers focus on professional thinking as one of the cognitive resources. The aim of the article is to study the relationship between professional thinking and the socio-psychological features of personality. Materials and Methods. The materials of the study were the data of a survey of 65 people. The authors used questionnaires and the method of analyzing problem situations. For statistical processing, the methods of mathematical statistics were used. Results. It is shown that the situational-suprasituational level of thinking is predominant. The relationship between the level of professional thinking and the flexibility of choosing strategies of behavior in conflict and stress is established. There are similarities between the talent pool and managers with experience in conflict and stress behavioral strategies, and differences in management motivations. The new socio-economic reality and changes in the educational environment suggest that the manager should be ready to solve new heterogeneous professional tasks, which require expanding the range of competencies and a different level of reality understanding, integrating their own psychological structures, where professional thinking will play a system-forming role. Discussion and Conclusion. The obtained results can be used in solving tasks of the Nation-wide Project “Educationˮ aimed at further training of teaching staff, and in administering the said programs of continuing education.
CURRENT PROBLEMS OF THE SYSTEM OF ASSESSMENT OF STUDENTS ' KNOWLEDGE

The article highlights some of the difficulties in organizing the assessment of students ' knowledge in the country's universities. An analysis of the results of a sociological survey on this issue with the participation of the faculty of the university. The authors note the importance of applying the system of criteria assessment in accordance with the requirements of the updated education system. They also emphasize a number of factors that prevent an objective assessment of students ' knowledge. According to the authors, a well-organized system of knowledge assessment will be the key to strengthening the authority of the University.
Ethno-Aesthetic Communication in the Context of the Formation of Technological Culture of Students in the System of Continuing Education

The relevance of the problem presented in this study is conditioned by the fact that the multifactorial nature of qualities of technological culture of the individual requires a search for paradigms, an identification of the range of approaches aimed at developing not only technological, professional, but also cultural competences of students in multiparadigmatic viewpoint. The purpose of the article is to theoretically substantiate the polyparadigmatic approach to the formation of technological culture of students in the system of continuing education based on ethno-aesthetic values. The leading method for the research of this problem is the method of concretization, which allows us to consider the formation of motivational, cognitive, activity (practical) - technologically important personal qualities (Belentsov S. I, Fahrutdinova A. V, 2017). The structure of the polyparadigmatic approach to the formation of technological culture of students in the system of continuing education based on ethno-aesthetic values includes axiological, cultural, socio-cultural, activity-technological, ethnopedagogical, and ethno-aesthetic approaches. The polyparadigmatic approach has an integrative basis, it is based on scientific and ethnic knowledge expressed in the form of concepts, didactics of technological and higher education, ethno-aesthetic didactics, which ensure the continuity of the formation of the components of technological culture of students in the system ‘school – University – additional education’.
Preface: The 4th International Conference on Mathematics and Science Education (ICoMSE) 2020

First Page
Determining the Credibility of Science Communication

Most work on scholarly document processing assumes that the information processed is trustworthy and factually correct.However, this is not always the case.There are two core challenges, which should be addressed: 1) ensuring that scientific publications are credible -e.g. that claims are not made without supporting evidence, and that all relevant supporting evidence is provided; and 2) that scientific findings are not misrepresented, distorted or outright misreported when communicated by journalists or the general public.I will present some first steps towards addressing these problems and outline remaining challenges. BiologyWood Frogs (Rana sylvatica) are a charismatic species of frog common in much of North America.They breed in explosive choruses over a few nights in late winter to early spring.The incidence in Wood Frogs was associated with a die-off of frogs during the breeding chorus in the Sylamore District of the Ozark National Forest in Arkansas (Trauth et al., 2000). Computer ScienceLand use or cover change is a direct reflection of human activity, such as land use, urban expansion, and architectural planning, on the earth's surface caused by urbanization [1].Remote sensing images are important data sources that can efficiently detect land changes.Meanwhile, remote sensing image-based change detection is the change identification of surficial objects or geographic phenomena through the remote observation of two or more different phases [2].