Reviewerly/exHarmony huggingface dataset:
Ways to cultivate the creative thinking of beginners in the classroom through information and communication technologies

Increasing the professionalism and competence was recognized as the main driving force of progress and activities leading to the goals of sustainable development. The modern education system involves the further improvement of the mechanisms for raising the competence of future specialists on the basis of a creative approach and an innovative system for putting them into practice. From this point of view, the research competence offuture specialists on the basis of a creative approach is of particular importance for creating innovation, creating intellectual resources for socio-economic development through the development of cognitive and divergent thinking based on modern pedagogical processes that create new knowledge, and expanding the training opportunities for competitive personnel. The article looks into the requirements and policies for the competent teaching staff.
Efficiency of the Use of Information Technologies in the Training of Technical Specialists in Universities

The article analyzes the importance of computer technologies in the educational process in higher education. The possibilities of entering the educational information space for engineering specialties were demonstrated. The capabilities of modern virtual laboratories are analyzed. The possibilities of using a virtual laboratory in distance learning were demonstrated. The use of modern computer technology is illustrated by the use of the Electronics Workbench electronic software package.
A Two-Decade Literature Review on Challenges Faced by Smes In Technology Adoption

The purpose of this study is to discuss the importance of technology for SMEs. The world is moving towards technology 5.0, SMEs have not able to adopt technology 2.0 effectively. COVID-19 pandemic has taught the world about the importance of technology in effective working from remote places. In the first section of this study, the authors will discuss the importance of technology adoption; later, the second section will focus on the various challenges in the adoption of technology. The research methodology is based on a systematic literature review. The authors have reviewed the literature of the last twenty years to judge the challenges pertaining to technology adoption. The literature has been reviewed in a longitudinal manner. The findings of this study suggest that the significant challenges in technology adoption are the cost of technology and infrastructure, technical skills and efficiency, adoption challenges, lack of organizational support, and governmental support.
NASA Balloon Detects California Earthquake – Next Stop, Venus?

The technique is being developed to detect venusquakes. A new study details how, in 2019, it made the first balloon-borne detection of a quake much closer to home.
Quantum image filtering and its reversible logic circuit design

Quantum information processing can overcome the limitations of classical computation.Consequently, image filtering using quantum computation has become a research hotspot.Here, a quantum algorithm is presented on the basis of the classical image filtering principle to detect and cancel the noise of an image.To this end, a quantum algorithm that completes the image filtering task is proposed and implemented.The novel enhanced quantum representation of digital images is introduced.Then, four basic modules, namely, position-shifting, parallel-CNOT, parallel-swap, and compare the max, are demonstrated.Two composite modules that can be utilised to realise the reversible logic circuit of the proposed quantum algorithm are designed on the basis of these basic modules.Simulation-based experimental results show the feasibility and the capabilities of the proposed quantum image filtering scheme.In addition, our proposal has outperformed its classical counterpart and other existing quantum image filtering schemes supported by detailed theoretical analysis of the computational complexity.Thus, it can potentially be used for highly efficient image filtering in a quantum computer age.
Implementasi Elearning Efront Mendukung Sistem Perkuliahan Online Berbasis Web di Kampus STMIK Jakarta STI&amp;K

STMIK Jakarta STI&amp;K is a computer campus in Indonesia. This campus has not optimally used online learning media. Electronic lecture is an online lecture medium, which allows students and lecturers to carry out lecture activities without having to meet physically. The current pandemic period requires academic activities to be carried out online. This electronic lecture media is widely available to be adopted to build an online lecture system in an institution. E-Learning Efront is an example of a system that can be used. Research on the inline lecture system can produce a system tailored to the needs applied at the STMIK Jakarta STI&amp;K campus. The electronic lecture system using eFront can be changed according to user needs. To get good results from system development requires a good development stage according to the existing method. Development starts from planning until a good system implementation. One of the steps that can be done is to hold training and trials to measure the ability and understanding of system users. The evaluation stage is carried out by measuring and analyzing users interacting with the system. The e-learning implementation plan begins with the first preparation, then the resources are ready and the services and system infrastructure are available. Based on the results of the evaluation, decisions can be made regarding the application of e-learning at the STMIK Jakarta STI&amp;K campus. The results of the implementation that have been carried out, it is found that the online lecture system is needed as an alternative in the use of information technology in the process of academic activities.
Development of Sediment Environment Survey Boat with Self-Navigation in Difficult-to-Enter Waters

Surveys of lake and seafloor sediments and topography are very important for improving fisheries catches and elucidating the mechanisms of earthquake occurrence. In order to carry out such surveys, it is necessary to develop a survey boat that can navigate even in relatively shallow and difficult-to-enter waters. In this research, we developed a compact and lightweight self-navigation survey boat that is easy to disassemble and carry. The research vessel we developed consists of a motor, a fish-finder, and a microcomputer (Raspberry Pi). In order to realize the proposed survey boat, we developed a new self-navigation control algorithm and conducted a practical experiment in the ocean to confirm its superiority.
LibGuides: Pathways to Research Data Management series: Introduction to data management plans

Pathways to Research Data Management is a series of workshops developed by the University of Victoria Libraries to support students and faculty in developing new skills and knowledge to support the management of their research data
More than Text: Multi-modal Chinese Word Segmentation

Chinese word segmentation (CWS) is undoubtedly an important basic task in natural language processing.Previous works only focus on the textual modality, but there are often audio and video utterances (such as news broadcast and face-to-face dialogues), where textual, acoustic and visual modalities normally exist.To this end, we attempt to combine the multimodality (mainly the converted text and actual voice information) to perform CWS.In this paper, we annotate a new dataset for CWS containing text and audio.Moreover, we propose a time-dependent multi-modal interactive model based on Transformer framework to integrate multi-modal information for word sequence labeling.The experimental results on three different training sets show the effectiveness of our approach with fusing text and audio.
Recognizing Sentiment Prediction on Twitter Data

Escorted by the wide spread of Internet today, people have found a new way of expressing their opinions. It is a platform with a variety of information where an individual can also view the opinions of others. This is continuously growing and becoming an important factor in decision making for various organisations, businesses and even for Politics. In this paper we have chosen the most popular social media platform i.e. Twitter for our Sentiment Analysis. Eventually, Acknowledging the opinions beyond the tweets is of great concern. The fundamental aim of Sentiment Analysis is to reason feelings and ideas of individuals. We have made data analysis with tweets related to a topic and thereby classified their polarity using different machine learning algorithms.
Effect of Organizational Justice Dimensions on Performance of Academic Staff in Developing Countries

Employees job performance is important in all organizations, but its importance increases in educational organizations in general and in universities in particular, because the pivotal role played by the academic staff of the universities in creating and nurturing future generations that are capable of advancing the country and the society. This study investigates the impact of organizational justice dimensions on academic staff performance in the Iraqi higher education system. The study deployed the quantitative method to measure academic staff's organizational justice and performance at Iraqi public universities located in Baghdad. However, the study employed stratified technique to ensure the better represented of sample. Only 297 responses were valid to be analysed by using (AMOS). The findings showed that distributive justice, and interactional justice positively impacted on academic performance and able to increase the performance, while procedural justice did not impact on academic performance. However, distributive justice had higher impact on job performance of academic staff compared to interactional justice. The findings of this study imply that decision-makers at universities should pay more attention to the fair distribution of resources, payment, promotion and training to increase job performance.
Research Guides: Introduction to eBooks: Help

This guide includes links to the Carl B.'s eBook collections and answers to eBook frequently asked questions.
An election system using blockchain

Blockchain is a relatively new technology. Although it is not entirely new, people are not very aware of it because it has not been put into use in most parts of the world. But those who have studied blockchain know about its merits and how it can help replace some old techniques and produce better results. Using blockchain for this purpose leads to several benefits, and helps in conducting elections that are fair, transparent and independently verifiable. In this paper, we present a new method of conducting elections that use the features of blockchain to achieve the desired properties of transparency, privacy and decentralization. We show how our method can be used to implement elections at the national level, especially in countries like India where a huge amount of money is spent on conducting elections.
PENINGKATAN KUALITAS PEMBELAJARAN PKn MENGGUNAKAN MODEL NHT DENGAN MEDIA POWERPOINT

The purpose of research was to improve the quality of learning PKn using NHT model with PowerPoint media for 4th grade elementary students of SDN Plalangan 04 Semarang. The type of the research was classroom action research wich was implemented in 3 cycles with 4 stages an they were plan, action, observation and reflection. The data collection techniques were using test and non-test techniques. The data analysis using qualitative and quantitative descriptive analysis. The results of the research showed that: (1) teacher‟s skills in cycle I scored 25 (good), in cycleII increased to 30 (very good) and cycle III increased to 34 (very good); (2) student‟s activity in cycle I gained average score 20.2 (good), in cycle II increased to 25 (good) and in cycle III increased to 29.63 (very good); (3) the classical completeness of student learning outcome in cycle I was 60%, in cycle II was 72.41%, and in cycle III was 86.67%. The conclusion of the research was the NHT model with PowerPoint media could improve the quality of learning PKn for 4th grade elementary students of SDN Plalangan 04 Semarang.
SURVEY ON FRAUD APPS DETECTION USING SENTIMENT ANALYSIS

Smartphones and digital gadgets are beneficial in our daily life. There are such a lot of fraud applications available in the cyber world. In applications fake deportment is the maximum popular. Since there are such a lot of apps available, every one of them could be a scam, it's crucial to identify genuine apps. The proposed system will detect the fraud application based on user evaluations and ratings using the Naive Bayes classifier. The system will avail the utilizer to discover which application is true. The utilizer reviews can be accumulated from the Play Store and relegate reviews into Positive or Negative by utilizing sentiment analysis.
PREDIKSI KESEHATAN MASYARAKAT INDONESIA MENGGUNAKAN RECURENT NEURAL NETWORK

Health is very important for all human beings, especially in Indonesia, because human health can do activities properly and have high performance for both work and other social life. The task of predicting the future values of a time series is a problem that applications have in areas such as sales, engineering, epidemiology, etc. Much research effort has been made in the development of predictive models and performance improvement. The level of public health in Indonesia from 1995 to 2018 varied with the percentage of the population who experienced health complaints. The purpose of this study is to predict the future health of the Indonesian public so that it can be used as a tool to determine government policies in the health sector. The method used in predicting is the Recurent Neural Network (RNN) with secondary data sourced from the Central Statistics Agency (BPS) in the form of data sets, and dividing the data sets into training data and test data. Before the data is used as training data, we clean and tidy up the data first so that when it is implemented there are no errors either during training or testing. The results showed that at the beginning of the method RNN, the prediction results were far from the data, after an interval of 7 and above the predicted results were actually the same. Based on Figures 5 and 6, it can be said that the RNN method is very good for the prediction method.
Research on the Construction of Harmonious Campus Based on the Perspective of College Student Management

From the perspective of college student management, this paper analyzes the problems existing in the construction of harmonious campus, and puts forward the construction measures, in order to improve the effect of harmonious campus construction in Colleges and universities.
Capitulo VI: Fortalecimiento de las Competencias Escritas de estudiantes con diversidad funcional visual en el Entorno Universitario

At present, diversity and respect for the individualities and particularities of the human being is an issue that continues to gain relevance in all fields of life; In teaching, for example, one of the topics that has been extensively investigated is precisely the fact of responding to the needs of each student without resorting to segregation or sectorization of learning. It is widely known that each person has a preferential learning style, which entails using different strategies to tackle a task or activity, and it is essentially this aspect that leads to making differences in the learning process. That is why teachers must know the theory of learning styles in order to adapt their pedagogical practices to these particularities in the classroom and improve the quality of the educational process in every way.
Develo ing students’ communicative writing skills through blogging / Nurul Fadilah, Akmal Akmal and Kamisah Ariffin

Blogs have gained o ularity among language teachers as a tool to develo students' writing skills. However, using blogs in teaching writing has not been widely ractised in Indonesia de ite the ositive effects on students' learning as re orted in the literature. This a er examines the develo ment of students' communicative writing skills through blogging. The data were collected from students' writing based on different themes osted in a class blog over a five-week eriod. Using Franker's ELT blog rubric as a framework for analysis, the findings were classified into four codes of communicative skills in writing: creativity, critical thinking, voice and comment. The findings indicate a general im rovement on the students' communicative skills in writing based on these codes. Students also res onded ositively towards the use of blogging in develo ing their communicative skills in writing. Not only blogging hel ed to develo their minds critically and evaluatively, they were able to write their thoughts and res ond to others' oint of view freely without the resence of the instructor and fellow friends. Such findings indicate that with advance of technology in education, blogs can be an alternative medium for teaching writing in class, es ecially in this IR4.0 era.
Impact of Non-Monetary Factors on Retention of Higher Education Institues Teachers Through Mediating Role of Motivation

The purpose of the current study is to investigate the effects of non-monetary factors, including three sub-domains, i.e., opportunity for career advancement, recognition and development opportunity on employee retention through a mediating role of motivation. Convenience sampling was used, and data were collected from higher education institutes located in Pakistan's different cities. The analysis was conceded out using SmartPLS software v.3.0 and sample size calculated through G* power software. Due to Covid-19 pandemic data also collected online through email/Google survey form. The result revealed that non-monetary factors have a significant and positive influence on employee retention. Also, motivation significantly mediates the relationship between non-monetary factors and employee retention. These study findings can augment the existing body of the literature and oblige as a preliminary point on which upcoming studies can be built. Expectancy theory revealed that when non-monetary factors increase in the organization, negotiation and conflict occurs among leaders and employees because of nepotism. Lastly, theoretical and practical implication and future recommendation were discussed.
LibGuides: East Asian and American Asian Book List for Kids: How to use LibGuides

These subject guides contain books lists for patrons who are interested in children's and young adult literature that feature stories about Chinese, Japanese, North and South Korean, and Taiwanese Americans. This page contains information on how to use LibGuides.
On the Minimal Error of Empirical Risk Minimization

We study the minimal squared error of the Empirical Risk Minimization (ERM) procedure in the task of regression, both in random and fixed design settings. Our sharp lower bounds shed light on the possibility (or impossibility) of adapting to simplicity of the model generating the data. In the fixed design setting, we show that the error is governed by the global complexity of the entire class. In contrast, in random design, ERM may only adapt to simpler models if the local neighborhoods around the regression function are nearly as complex as the class itself, a somewhat counter-intuitive conclusion. We provide sharp lower bounds for performance of ERM in Donsker and non-Donsker classes. We also discuss our results through the lens of recent studies on interpolation in overparameterized models.
Design Issues in Sentiment Analysis for Yorùbá Written Text

Abstract. Sentiment Analysis (SA) is an exciting and important field in Artificial Intelligence combining Human Language Processing, Machine Learning and Psychology. It is a means of understanding a user’s opinion about an event. The goal of SA is to get opinion expressed in implied text, targets of the opinion and reason for the opinion. Conversely, a great number of research efforts are dedicated to English language data, while a countless share of information is obtainable in other languages as well but none yet for Yoruba. This work examines the design issues with respect to automating SA for standard Yoruba language. The process of SA which includes data cleaning, data annotation etc. is highlighted. The structure of the Yoruba text is described and a text corpus design for Yoruba sentiment analysis system is presented. The outcome of this work provided suitable requirements for the design.
Cloud Computing Network Security Technology Based on Big Data Analysis

As a new network model, Internet big data cloud computing technology can integrate excellent computing practices in the Internet, significantly improve the efficiency of big data computing, and make full use of network resources. The development of network technology has reached a new height, and the significance and role of network data security has also been widely valued. Based on this, this paper begins to study the application of cloud computing network security technology in big data analysis. Based on this, this paper studies the cloud computing network security technology under the big data analysis. In this paper, literature analysis and statistical analysis are selected to study. In these studies, by collecting a large number of relevant information, it has laid a solid theoretical basis for the in-depth study of this paper. This paper takes the network and data security in cloud computing environment as a key research topic. According to the characteristics of cloud computing, this paper introduces the related concepts and definitions of cloud computing, and the current research results in the field of cloud computing network and cloud computing security. In view of the dynamic data operation and the integrity and consistency verification of data files in cloud computing environment, this paper introduces the concept and definition of cloud computing, this word proposes a verifiability experiment based on Merkle hash tree technology to support data dynamic operation, and proposes an access control experiment based on attribute encryption algorithm for data file access control in cloud computing environment. The results show that the hierarchical Merkle hash tree construction experiment in this paper has obvious advantages over other experiments in terms of time cost. The attribute based encryption algorithm can minimize the generation of key and the times of encrypting plaintext and decrypting ciphertext, and can effectively improve the permission change rate of massive users sharing data files in cloud computing environment.
UMP forges collaboration with Lumileds Sdn. Bhd.

Penang, 27 July 2020 - Universiti Malaysia Pahang (UMP) strengthened its collaboration networking by inking a Memorandum of Understanding (MoU) with its strategic partner, Lumileds Sdn. Bhd.