Reviewerly/exHarmony huggingface dataset:
THE PHILOSOPHY, CULTURE, CHANGING LIFESTYLE AND RURAL POVERTY IN THE 21ST CENTURY GHANA

Purpose: A cursory look at the lives of most people living in the rural areas of Ghana suggests that they are poor as compared to their counterparts living in the urban areas. The study aimed at investigating into the culture, philosophy, lifestyles and factors that have impacted negatively on the socio-economic situation that make the people living in the rural areas poor.&#x0D; Methodology: In order to obtain data on the causes of poverty among the rural people, the qualitative research approach was used for the study in which the observation method was employed to collect information from the elderly, youth, farmers, women, men, workers, illegal miners, traders, market women, etc. in some villages on their social lifestyles and economic activities. For effective and reliable outcome, unstructured interviews, surveys and investigations were used as tools to gather data. The use of unstructured interviews and conversations enabled majority of the sampled population who could not read nor write offer useful information.&#x0D; Findings: The study revealed that rural poverty is on the ascendency because most of the youth who serve as the work force migrate to the urban areas in search of jobs and better living conditions while a fraction of those who remained engage in illegal mining. The effect of this illegal activities has led to the degradation of arable lands, destruction of millions of acreages of cash/food crops and river bodies making agriculture, which is the backbone of the economy, very unsustainable. The attitude of majority of Ghanaians to time and work, especially in the public sector, leaves much to be desired. As a result, a lot of man-hours is rendered unproductive due to unpunctuality, religious and cultural activities.&#x0D; Unique contribution to theory and Practice and Policy: The outcome re-echoes the need for a policy direction on education that focuses on skill development and hands on experience to enable school leavers enter into entrepreneurship and be self-reliant so they will not be dependent on the limited government work. It will also make people come to the realization that only few people benefit from illegal mining but the harmful effects are universal and back government effort in fighting/curbing it. Government, Municipal/District Assemblies will see the need to provide amenities that rural communities lack, initiate intervention programmes for youth employment especially, in the rural areas to curtail rural-urban migration.
Text Analysis and Policy Guidance of Emotional Intonation of Enterprise Management Based on Deep Learning

In the context of global science and technology, all countries pay more and more attention to the text analysis of emotional intonation, and the emotional intonation text analysis and policy orientation of enterprise management in major international and domestic enterprises have also changed from shallow to deep. In the twenty-first century, with the rapid development of human society, people's demand for living standards and material needs increases rapidly, and employees' awareness and needs for work are constantly changing. At present, there is the problem of emotional intonation text analysis error in the management of the enterprise, and the task and emotional transmission command are not clear and thorough. It is necessary to reasonably use deep-learning-related algorithms, especially convolutional neural network and other algorithms, to study the emotional intonation text analysis and policy guidance of the enterprise management. Aiming at the forefront of deep learning development, the latest deep learning technologies are constantly introduced. The research field of emotional intonation text analysis and policy orientation of enterprise management is focused. Through simulation experiment, the characteristics of emotional intonation text analysis and policy orientation research of different enterprise management are compared and analyzed, so as to further improve the emotional intonation text analysis and policy orientation of deep learning for enterprise management.
Specificity of the Motivation for High-Quality Publications in Russia

This theoretical study divulges the specificity of the Russian stakeholders' motivation to increase the number of articles in Scopus/WoS by Russian researchers. The research toolkit covers the stakeholder approach, PRISMA recommendations for systematic literature review, methods of deduction, comparison, and qualitative content analysis. We concluded that Russia is quite specific on this topic and found three primary Russian specifics: a unique stakeholder - the unified state bureaucracy; two unique motivational drivers of the researcher stakeholder - professional development and favourable academic environment; three unique motivational drivers of the university management stakeholder - political pressure reduction, power, and effective management.
Piecewise Weighting Function for Collaborative Filtering Recommendation

&lt;p&gt;It is not always reasonable to set a fixed weight value to an attribute (or a variable) because this cannot accurately maintain the similarity between users and leads to decrease the performance of collaborative filtering recommendation algorithms. In this paper, a piecewise weighting method is proposed with the hyper-class representation for improving the collaborative filtering recommendation. Specifically, a kernel function is first applied to map the original data into the kernel space, and to learn the weight of each attribute. And then, the hyper-class representation of the data is constructed to learn the weight of the segmented attribute value (hyper-class) for each attribute, so as to construct a piecewise weighting function. In addition, the piecewise weighting function is applied to calculate the similarity between users for a collaborative filtering recommendation. Finally, experiments are conducted to examine the collaborative filtering recommendation algorithm, and show that the proposed algorithm with piecewise weighting functions is more efficient than the compared algorithm with fixed weight values, in terms of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Precision.&lt;/p&gt;
Pattern Recognition Spiking Neural Network for Chinese Characters Classification

&lt;p&gt;In recent years, artificial neural networks (ANNs) have completely changed the field of machine learning, especially computer vision. The Spike Neural Network (SNN) is biologically more realistic than ANN. It is more hardware-friendly and energy-efficient, and suitable for running on portable devices with weak computing performance. In this paper we aim to classify several Chinese character images based on SNN. The input image is preprocessed by traditional methods (OpenCV) and then it is input into the trained spike neural network to classify the characters. Different hyperparameters configurations are tested reaching an optimal configuration and a classification accuracy rate of 93%. &lt;/p&gt;
High School EFL Students’ Attitudes towards Learning English Using Blended Learning during the Pandemic

After the COVID-19 cases were reduced, blended learning was used as a learning method in Indonesia. This study aimed to determine high school EFL students' attitudes about using blended learning to aid them in learning English during the pandemic. This research used a quantitative research design with a survey questionnaire as a data collection method and a Likert scale as the data measurement. The participants were collected by convenience sampling method. They are consisted of 32 senior high school students from SMAN 16 Surabaya, SMAN 20 Surabaya and SMA Muhammadiyah 2 Surabaya. This study used descriptive analysis to analyze the findings. The result showed that high school EFL students in Surabaya presented a neutral attitude toward blended learning. In addition, the students showed the best results for the teacher's learning media and the lowest effects for virtual learning. Based on these findings, high school English teachers should improve their online learning practice since the results showed students’ disinterest in it.
The Construction Method of Historical Geographic Information System Based on Mobile Network

The research of historical geography is inseparable from the construction of historical geographic information systems, but the traditional construction method of historical geographic information systems has certain technical defects in the storage, management, analysis, and data sharing of historical geographic data. Therefore, more innovative and advanced construction methods of historical geographic information systems are needed to continuously improve the construction of historical geographic information systems, to promote the development of historical geographic information research. In contemporary society, a more excellent historical geographic information system construction method is inseparable from the support of science and technology. With the continuous development of science and technology, mobile network technology has emerged. As a combination of mobile communication and the Internet, mobile network has strong functional advantages. It has developed rapidly in recent years and has great market development potential. This paper aims to study the construction method of historical geographic information systems based on mobile network. Combined with the data collection algorithm of mobile network, the historical geographic information system construction experiment was carried out. The experiment concluded that the information integrity of the historical geographic information system constructed based on the mobile network is 18.2% higher than that of the historical geographic information system constructed using traditional methods. This shows that mobile network technology has a certain positive effect on the construction of historical geographic information systems.
Augmented Reality Fraction Apps for Low Vision Alpha Generation Based on Affective Design Principles

The advancement of affective computing and augmented reality (AR) have been growing rapidly in the Information and Communication Technology (ICT) domain. Even though the trend of both subresearch domains is increasing however most of the existing AR apps fail to stimulate affective interactions particularly in terms of feeling, thought, emotion, and action which is highly needed by the low vision alpha generation particularly to understand the fraction concept. Therefore, the objective of this study is to develop an Affective Augmented Reality Fraction Apps for Low Vision Alpha Generation (ARFA4LV).The 3-Phases Development Model which consisted of (i) pre-production, (ii) production, and (iii) postproduction has been utilized to develop the ARFA4LV. In addition, User-Centred Design (UCD) approach has been utilized throughout the development phase. The finding of this study is the ARFA4LV. The future work of this study is to provide the heuristic evaluation and user experience testing on ARFA4LV.
On the Performance of Teaching Digitalization by Use of Linear Regression Mathematical Method

With the extensive use of information technology and the development of education informatization infrastructure, the educational sector is placing increasingly high demands on the quality of instructors' informatization. The progress of education implementation is largely determined by level of informationization of instructors. Teachers are the most important entity of learning and determining factor. The modern and scientific assessment of the development of information learning is an essential element of education. This paper uses regression method to assess the teacher development information platform and numerical facts to confirm and determine a linear regression concept for the community. The multiple linear regression assessment techniques are used to develop the linear regression computational formula of the educational development of information stage, and the influence of different factors is analysed to develop a science-based assessment method to assess the education of instructors' information on the basis of the statistical analysis of the assessment indexes of the schooling implementation of the information stage.
English Teaching Ability Evaluation Algorithm Based on Random Matrix Model and Fuzzy K-Means Clustering

This paper proposes a nonelliptic extended English teaching ability evaluation algorithm based on an adaptive random matrix model. The algorithm models a nonelliptical expansion target as multiple elliptical sub-objectives, and the expansion state of each sub-target is described by an inverse Wishart distribution. The new method is combined to improve the robustness problem caused by the initialization after the algorithm expansion. This research uses the smart teacher education platform to conduct research and analysis on the evaluation of teaching practice ability of intern normal students. From the perspective of data evaluation, we explore the influence of normal students’ curriculum training on the teaching practice ability of normal students. By analyzing the correlation between normal students’ course grades and practice grades, this paper explores the influence of normal students’ prepractice training on normal students’ teaching practice ability. This paper explores the influence of the training of normal students’ course learning on the teaching practice ability of normal students. The results show that the learning level of normal students’ professional courses has a significant impact on the development of normal students’ practice performance and teaching practice ability; the impact of normal students’ pedagogical course level on normal students’ practice performance and teaching practice ability is relatively low.
Photonic multiplexing methods for optical neuromorphic computing

&lt;p&gt; The simultaneous advances in artificial neural networks and photonic integration technologies have spurred extensive research in optical computing and optical neural networks (ONNs). The potential to simultaneously exploit multiple physical dimensions of time, wavelength and space give ONNs the ability to achieve computing operations with high parallelism and large-data throughput. Different photonic multiplexing techniques based on these multiple degrees of freedom have enabled ONNs with large-scale interconnectivity and linear computing functions. Here, we review the recent advances of ONNs based on different approaches to photonic multiplexing, and present our outlook on key technologies needed to further advance these photonic multiplexing/hybrid-multiplexing techniques of ONNs. &lt;/p&gt;
A Comprehensive Survey and Analysis on Multi-Domain Digital Forensic Tools, Techniques and Issues

Abstract .Forensics is a term that can be used by both the physical and digital world. In the physical world, forensics is associated with physical science investigations such as DNA examination and bloodstains. On the other hand, the digital world consists of seizure, analysis, and protection of digital evidence that can be obtained from physical or virtual storage devices. Forensic investigators retrieve and analyze data using forensic tools that cover a range of features and capabilities. However, these tools have not achieved a high degree of reliability and accuracy yet. As there are many tools currently available for researchers to utilize, this survey provides an extensive assessment of forensic domains and the complex issues and tools applicable for each domain. Additionally, this survey provides a balanced evaluation of the most popular forensic investigation tools in use today. In this survey, tools are experimentally evaluated by considering features of the tools as well as their respective product, performance, and functional metrics. The assessed tools are ranked using the weighted means of tool features, specifically in terms of reliability, scalability, and accuracy. These bench marked results and the discussion of open issues in digital forensics will serve in suggesting future research directions and aid in selecting the most suitable forensic tool for investigation in a timely manner.
Development of Interactive Learning Media with A Malay Culture Nuances and Characteristics of RME on Cube and Cuboid Materials for Junior High School

This study aimed to produce interactive learning media with Malay culture nuances and characteristics of RME on Cube and cuboid Materials for Junior High School, valid and practical categories. This research is a solution to the problems arising from the Covid-19 pandemic that applies distance learning so that the learning provided is less appropriate and less effective through the developed learning media; it is expected to help and improve students' understanding. This research starts from the define stage, the design stage, to the development stage by conducting a validity and practicality test. The instruments used are peer assessment questionnaires, expert validation sheets, and practicality questionnaires for educators and students. Data were analyzed by descriptive analysis and quantitative analysis. The data obtained is qualitative, and then the data is converted into quantitative data using MSR. From the Validation of material experts, they obtained an assessment of 80.50% with valid criteria, media expert Validation obtained an assessment of 87.73% with valid criteria, and linguistics expert validation obtained an assessment of 93.01% with valid criteria. For the practicality questionnaire, the teacher's response received an assessment of 92.79 % with practical criteria, and the student response practicality questionnaire received an assessment of 78.27% with practical criteria. The developed product has reached valid and practical criteria. Therefore, this research implies that interactive learning media with Malay culture and RME characteristics is feasible to test for effectiveness.
Development of Online Courseware for Low-Achieving Special Education Students Learning Communication

In 2019, the government announced the Movement Control Order due to pandemic covid19. The situation leads to the closure of every school and premises to avoid the number of cases increasing. Every teacher conducts online classes where most of the students also facing difficulties in following the session. The study aims is to propose an online courseware for a lowly-achieving student based on communication subject. This study focuses on the development of courseware for form 1 of secondary school user. Lowly functional students are referring to students who unable to master the skills of reading, writing, and counting at a minimal level. The methodology used in this research is the evolutionary prototype with the integration of the SAM model, an instructional design model. A quantitative study was made among teachers and parents. As a result, a courseware called the BrightEdu were developed to help the children agree with the theoretical conclusions and research results of other authors.
Pujian dan Respon Pujian Sebagai Representasi Konsep Sosial dalam Perusahaan Jepang

This article about compliments and compliment responses is an important part that is often used to facilitate communication, especially in the realm of Japanese companies or offices. This study aims to determine compliments and compliment responses as a representation of social concepts that apply in Japanese companies or offices in the Japanese drama entitled Eigyo Bucho Kira Natsuko. This study uses several theories related to compliments or compliment responses, namely Manes and Wolfson on the topic and function of compliment, and Herbert regarding the classification of compliment responses. In addition, this study also discusses the strategies used by the characters in the drama to respond to the compliment they receive. The social concepts represented in compliments and compliment responses are 1) sempai and kohai; 2) oyabun and kobun. The social concept adopted in the realm of Japanese companies provides an understanding and description of the strong culture in the Japanese corporate structure itself.&#x0D;
Pompom Box Toy to Develop Numeracy Skills in Early Childhood

This study aims to develop the pompom box toy to build numeracy skills and investigate psychological and sociological aspects in facilitating the improvement of summation literacy in early childhood. This research method uses Mix Method (quantitative and qualitative) with the Rowntree model and Tessmer formative evaluation with the planning stage, development stage, evaluation stage consisting of self-evaluation, expert review, one-to-one assessment, and small group evaluation. Data collection techniques using observation and checklists. The average result of the addition game tool's practical value is 93.5, with an efficient category based on the child's ability indicator. The child can say number symbols (1-10), and a child's play tool is easy to use. Based on the results obtained through the stages that have been carried out, it can be concluded that the number addition operation game tool (1-10) in group B children in kindergarten is declared valid and practical, so that pompom box learning obtains an increase in summation literacy and develops aspects of early childhood psychological and sociological.
Transiting from Manual Voting to Electronic Voting System for Enduring Democratic Governance in Nigeria: The Imperative for Digital Remedy

The paper investigates the enormity of hitches tied to transiting from manual-based electoral systems to the electronic voting system and determine whether hurdles with the electronic voting system could be sufficient enough to prevent Nigeria from adopting it to enhance her democratic governance in the 21st century. This enquiry was prompted on the ground that there are mixed reactions from different individuals, scholars and societies that the Nigerian state is not ripe for electronic voting and as such may not be able to sustain it if it eventually steps into full adoption of electronic voting system. Therefore, they argue that the status quo ante should be maintained. However, available documentary evidence and cases drawn from other climes where electronic voting has been practised across the globe show that the cost-saving potential of electronic voting is limitless, it eliminates electoral frauds, votes are completed and submitted online, thereby saving ample time, it restricts movement, which eventually eliminates voter apathy caused by fear of violence, etc. On the other hand, most scholars are overwhelmingly inclined to the opinion that the electronic voting system is capable of exacerbating the digital divide as it is lopsided in affecting the turnout of certain groups of citizens. This implies that e-voting will favour only well-educated and wealthy people to the detriment of the downtrodden in the society. The paper however concludes that the Achilles’ heel of transiting from manual to the electronic voting system identified are tangential and could be surmounted with the passage of time through sensitization and awareness creation.