Reviewerly/exHarmony huggingface dataset:
A data cleansing method for the pricing model of the second hands properties database

This paper focused on a method of data cleansing for used condominium database that is open to the public by the Ministry of Land, Infrastructure, Transport and Tourism. By identifying and removing error records, which are not transaction outliers, it enables us to analyze this dataset appropriately. In this study, we proposed two methods to deal with serious error, that is suspect of “Fat finger error”. In addition, as a result of noise removal, the analysis results using the hedonic model have improved significantly.
Communicating Beyond Our Hidden Assumptions

The Hyatt Regency Hotel disaster also serves as a reminder of the destructive power of hidden assumptions. Hidden assumptions thus become the driving force that needs to be exposed, explored and challenged. Avoiding the collapse of buildings, and for that matter, the well-publicised failures of IT systems and other critical projects, may ultimately require a more active approach to uncovering and managing the context and the hidden assumptions that key players bring to a situation. At a time when projects are increasingly decentralised and agile and lean approaches offer alternative arrangements and organisational structures, it might be interesting to renew the focus on project managers by considering their role in communicating throughout projects. The new work around participation and communicating in projects offers a great potential for challenging our hidden assumptions, reflecting on our paradigms and regenerating, revitalising and refreshing our understanding of effective project practice.
PERBANDINGAN KINERJA ALGORITMA DATA MINING PREDIKSI PERSETUJUAN KARTU KREDIT

Credit analysis needs to identify and assess factors that can influence customers in credit returns. Accurate measurement and good management capability in dealing with credit risk is an effort to save the economic operations unit and is beneficial for a stable and healthy financial system. Failure to identify credit risk results in loss of income and extends credit risk to a bad type of threat to profitability. Data mining prediction techniques are used to determine credit risk. Using the Cross-Industry Standard Process for data mining CRISP-DM. This study has tested the model using a neural network using PCA feature selection and optimized with the PSO algorithm to predict credit card approval. Several experiments were conducted to see the best results. The results of this study prove the use of a single Neural Net method produces an accuracy of 80.33%. while the use of the hybrid PCA+NN+PSO method has been proven to increase accuracy to 82.67%. Likewise, the AUC NN value of 0.706 increased to 0.749 when the NN was optimized using PSO and using the PCA. This study implements and compares PCA-based SVM, L. Regression and NN algorithms and optimize PSO to improve accuracy in credit card approval predictions.
Elementary School Teachers’ Training Needs: Innovating Digital Competence

The purpose of the study was to determine the training needs needed by teachers in making digital products to facilitate the learning process. Training is as a way for teachers to innovate digital competencies. The participants of this study were 10 elementary school teachers (F=6 and M=4). Participants are homeroom teachers from grades 1 to 6, and 4 were subject teachers (Mathematics, English, local content and sports). This study used the descriptive qualitative method. Observation, documents and interviews collected data. The data analysis process used the Miles and Huberman model through data reduction, data presentation, drawing conclusions and triangulation. The results show that teachers need workshops that can directly practice making digital teaching tools such as learning videos and developing videos on the YouTube channel. However, they have difficulties with the technological devices they have. There are 30% of teachers who have full technology equipment, and the rest rely on smartphones for online teaching and learning. Thus, schools can consider providing technology tools that teachers can use in developing digital competencies and digital learning tools.
Influence of Organizational Culture, Sustainable Competitive Advantages, and Employees’ Commitment on Strategic Human Resources Management in the Banking Sector of Saudi Arabia

The rising trend of “strategic human resource management practices” is significantly leading the way to enhance the performance and competitive advantages of the banking sector. Thus, the banking sector in developing countries still using traditional HRM practices to sustain the competitive advantages and to achieve the business goals. The current study investigates the influence of organizational culture, employees’ commitment, and sustainable competitive advantages on the strategic human resource management practices in the banking sector of Saudi Arabia. We applied a resource-based view to achieve the research objectives. “Structural equation modelling-partial least square” (SEM-PLS) technique were applied to investigate the relationship among constructs under study. A cross-sectional method was applied to collect data from 181 employees working in different banks in Saudi Arabia. We found organizational culture significantly influence employees’ commitment and sustainable competitive advantages. Hence, employees’ commitment does not influence strategic human resource management practices; merely, sustaining competitive advantages significantly influence strategic human resource management practices. Additionally, employees’ commitment not mediates the relationship between organizational culture and strategic human resource practices. Thereby, sustainable competitive advantages mediate the relationship between organizational culture and strategic human resource management practices. Finally, the present study will help the banking sector to unearth the best implication of strategic human resource management practices as they can sustain the competitive advantages and achieve the business goals.
SMat-J: A Sparse Matrix-Based Join for SPARQL Query Processing

In this demonstration, we present SMat-J, a SPARQL query engine for RDF datasets. It employs join optimization and data sparsity. We bifurcate SMat-J into three submodules e.g. Firstly, SM Storage (Sparse Matrix-based Storage) which lifts the storage efficiency, by storing valid edges, introduces a predicate-based hash index on the storage and generate a statistic file for optimization. Secondly, Query Planner which holds Query Parser and Query Optimizer. The Query Parser module parses a SPARQL query and transformed it into a query graph and the latter generates the optimal query plan based on statistical input from SM Storage. Thirdly, Query Executor module executes query in an efficient manner. Lastly, SMat-J evaluated by comparing with some well-known approaches like gStore and RDF3X on very large datasets (over 500 million triples). SMat-J is proved as significantly efficient and scalable.
Dependent tagless final

Tagless final embedding provides a solution to the expression problem that allows efficient code generation, thanks to multi-staged evaluation. It can, however, be a challenge to compose effectful language fragments in this embedding. This paper proposes a dependent tagless final embedding that uses dependent types to ease the composition of effects. We show that this extension preserves the multi-staging capabilities of tagless final and can help scope effects in domain-specific languages.
Using augmented reality technology for balance training in the elderly. A feasibility study

Abstract BackgroundImpaired balance leading to falls is common in the elderly, and there is strong evidence that balance training reduces falls and increases independence. Reduced resources in health care will result in fewer people getting help with rehabilitation training. In this regard, the new technology augmented reality (AR) could be helpful. With AR the elderly can receive help with instructions and get feedback on their progression in balance training. The purpose of this study was to examine the feasibility of using AR-based visual-interactive tools in balance training of the elderly.MethodsSeven elderly participants (66-88 years old) with impaired balance trained under supervision of a physiotherapist twice a week for six weeks using AR-based visual-interactive guidance, which was facilitated through a Microsoft HoloLens holographic display. Afterwards, participants and physiotherapists were interviewed about the new technology and their experience of the training. Also, fear of falling, balance and physical ability were measured before and after training.ResultsMost participants experienced the new technology as positive in terms of increased motivation and feedback. Experiences were mixed regarding the physical and technical aspects of the HoloLens and the design of the HoloLens application. The majority of participants perceived that they were steadier after training; this was also shown in the balance tests. Also, most participants reduced their fear of falling after the training. Participants also described issues that needed to be further improved, for example, the training program was difficult and monotonous. Further, the HoloLens hardware was felt to be heavy, the application's menu was difficult to control with different hand maneuvers, and the calibration took a long time. Suggestions for improvements were described.ConclusionsThe study showed that training with the new technology is, to some extent, feasible for the elderly, but needs further development. Also, the technology seemed to stimulate increased motivation and adherence to training. However, the new technology and training requires further development and testing in a larger context.
Maximising a mine's uptime

A Nevada mining company was experiencing repeated pump failures, Jeff Davis, regional sales manager at Tsurumi, relates how by switching to the its GSZ-150 electric submersible pump, the mine's uptime was maximised and its bottom line improved.
Arabic Topic Modeling-Based Sentiment Analysis on COVID-19 Feedback Comments

In March 2020, World Health Organization (WHO) declared COVID-19 disease a pandemic. People worldwide face stressful and overwhelming challenges and express emotions of loneliness, fear, and anxiety during quarantine periods. The pandemic strongly hits labor markets. As a result, many employees lost their jobs, and others are living at a high risk of losing theirs the next day. In this paper, we designed a hybrid approach that combines topic modeling and sentiment analysis methods to mine the impact of the COVID-19 pandemic on Moroccan citizens. The dataset used in this study contains collected comments from Hespress, an online news website. Our approach implements Latent Dirichlet Allocation (LDA) to extract topics from the comments. Consequently, we apply a topic-based sentiment analysis using a pre-trained model to mine people’s feedback regarding the extracted topics. The results showed that expressed sentiments towards all extracted topics are more negative than neutral and positive topic-based sentiments.
Quantum walk on a comb with infinite teeth

Abstract We study continuous time quantum walk on a comb with infinite teeth and show that the return probability to the starting point decays with time t as t −1 . We analyse the diffusion along the spine and into the teeth and show that the walk can escape into the teeth with a finite probability and goes to infinity along the spine with a finite probability. The walk along the spine and into the teeth behaves qualitatively as a quantum walk on a line. This behaviour is quite different from that of classical random walk on the comb.
Summarization of Customer Reviews in Web Services using Natural Language Processing

Customers can submit reviews for numerous products on websites like Amazon and Flipkart.As e-commerce grows in popularity, so does the quantity of consumer reviews that a product receives.A single product may have hundreds of thousands of reviews, each of which may be lengthy and repetitious.As a result, computerised review summarization offers a lot of potential for assisting buyers in making quick selections about certain items.Because a single manufacturer may sell a variety of items.It is also beneficial for manufacturers to keep track of customer feedback and comments.The process of creating a summary from review sentences is known as review summarising.In this project, given a product review, a shorter version of the review is created while the sentiment and points are preserved.The tone of the review will also be determined, and a summary of sample favourable and bad product reviews will be generated.Web scraping is used to collect reviews from popular ecommerce websites.Natural Language Processing Toolkit and neural networks such as RNN (Recurrent Neural Network) are used to summarise.The RNN architecture is combined with the Seq2Seq model, which is an encoder-decoder architecture.The highest accuracy for sentiment analysis on Amazon Fine Food Reviews was found to be 91%.
Manual and Automated Comparatıve Analysıs in Retıculocyte Countıng Method

The traditional method of reticulocyte count is based on microscopic evaluation of peripheral blood films. Automated processes have replaced the manual method of reticulocyte counts in most laboratories. They are readily available and give more precise results. The present study was conducted to compare the manual and automated methods of reticulocyte estimation. The study was conducted for six months, from January to June 2019, at a tertiary care center in Dibrugarh, Assam. One hundred twenty-six venous blood samples of patients were analyzed, of whom 27 were males and 99 females. Student t-test between the two methods showed a p-value of 0.41. Pearson's coefficient between the two methods showed r value =0.992. Scatter plot and Passing &amp;amp;Bablock regression analysis showed a positive correlation between the two methods. The present study showed a good correlation between manual and automated methods. The manual method can use the manual method of counting reticulocytes in situations of limited cost. In contrast, the automatic method can be an option when fast results and large sample sizes are required.
A Review of Mobile Robot Navigation System for Volcano Monitoring Application

Volcano is a geological environment including magma, eruption, volcanic edifice and its basements. For continuous monitoring after eruption, a mobile robot could be proposed as an alternative to prevent hazardous effect to volcanologist who perform up close monitoring. In this paper, the robots were divided into 3 types according to their different structures: legged, track-legged and wheeled mobile robots. Meanwhile, the navigation system were implemented in 4 steps suitable for volcano condition: environment mapping, trajectory design, motion control and obstacle avoidance. These navigation system also tested in different locations: indoor, outdoor and real volcano with different testing method for these robots. The testing result was discussed in robot kinematics parameter such as trajectory, velocity, slope angle, rollover and sideslip angels.
Binding without variables: Solving the under-generation problems

The variable-free semantics of Jacobson (1999, 2000, 2014) derives binding relations by the local application of the z-rule. This rule, however, under- generates binding. This paper makes two contributions: (i) replacing the z-rule with a more flexible rule called i (a la the W-combinator of Szabolcsi 1992), which allows for more binding relations; (ii) enriching Jacobson’s variable-free system and proposing a two-dimensional analysis to account for the interactions between scoping and binding. Issues to be covered include binding into adjuncts, possessor binding, scope ambiguity, inverse linking, weak crossover, and ‘paycheck pronouns’.
COUNSELING APPLICATION FOR CHARACTER EDUCATION

Technology has developed in advance and helped us provide so many tools to achieve the result that we earn. So many applications were created to help the student understand the lesson clearly, but our mission as educators is to improve their knowledge and hone their character. This study is mainly concerned with building an application that helps students solve their adolescent problems and shape their personalities to be noble humans.
Key Success Factors for Smart City Construction

Abstract The Smart City is not a new concept. In fact, the digital city appeared in the information era and the wireless city emerged in the Internet era, but the Smart City had not been clearly defined until the digital era. Unlike traditional informatization, a Smart City is not simply the combination of informatization in all industries. Not only is a smart city a top-leadership project, it reshapes the digital capabilities of all industries in a city, while also addressing systematic challenges. This paper presents Huawei perspective on Smart City development, including the conceptual framework, governance, type, connectivity, structural enablers. The paper also describes the strategic vision and a Smart City construction path, from the strategic planning, solution design and implementation.
Intelligent Contracts in Engineering Enterprise Supply Management

Intellectual contracts based on blockchain technology improve the efficiency of supply management of an automobile enterprise by optimizing the transactional costs of supply logistics. The present research featured KAMAZ PTC. The goal was to develop an interaction mechanism for all participants of an intellectual contract in supply activities. The article includes a review of Russian and foreign publications about intellectual contracts in various business spheres, supply management efficiency, optimization of transactional costs, and blockchain technology. The study made it possible to build an interaction mechanism of the parties involved in a blockchain intellectual contract. It also revealed a pattern of changes introduced to the intellectual contract at different stages of interaction between the initiator and suppliers. The authors also highlighted the difference between smart contract and intellectual contract. An intellectual contract appears as a logical development of a smart contract and allows the sides to change the terms. The party interaction mechanism can improve the supply efficiency as it optimizes the magnitude of transactional costs.
Clustering Reporeapers Using Data Mining Techniques

Artifact play a major role in software development. An artifact in software development is an actual by-product in which the works are documented and stored in a repository so it can be retrieved upon demand. Artifacts in software engineering involves specific development methods or processes. To ma
Beyond full‐bit secure authenticated encryption without input‐length limitation

The security bound is an important evaluation criterion in an authenticated encryption (AE) scheme. Many AE schemes that are widely used have birthday-bound security, which means that the scheme has b/2-bit security, where b is the block size of the underlying primitive. However, due to the increased interest in lightweight cryptography, smaller block-size primitives have been developed, which has led to more active research on AE schemes with beyond birthday-bound security. Although all such AE schemes are secure up to a full-bit (i.e. b-bit) bound at most, Naito et al. proposed the first beyond full-bit-bound secure AE schemes, P F B _ P l u s and P F B ω, at Eurocrypt 2020. P F B _ P l u s and P F B ω achieve 2b-bit security and ωb-bit security, respectively, where ω is a parameter s.t. ω ∈ N. In this work, the author points out a downside of P F B ω that was not clearly specified in its proposal paper and resolves it with the proposed scheme, e x P F B ω. The downside of P F B ω is that there is a limitation on each input size; it can process only up to 2b − 2 blocks for each input in spite of its high security bound. The author's scheme, e x P F B ω, is the first AE to achieve ωb-bit security and has no limitation on each input size for ω ≥ 3.
Public-Private Participation in Funding University Education in Sub-Saharan Africa: A Nigerian Case-Study for Sustainable Development

The developing countries in Africa still cannot withstand the pressure of the highly competitive global education market. Together with the large numbers of people who make a living in various innovative companies, these countries have solved key contemporary issues affecting global education. For this reason, it is necessary to actively respond to current technological innovation and educational challenges and to eliminate new technology graduates who can effectively interact with students through the responsive expansion of education and training. Expansion of education can produce effective expansion that promotes educational development, but due to budget constraints, most African governments cannot successfully and sustainably implement such educational programs. This is difficult. However, public-private partnership efforts provide a way out of this financial dilemma. The Sub-Saharan Africa initiative has achieved important educational objectives, such as: ensuring relevance for quality; secure funding for sustainability and establish resource mobilization partnerships and connections; and promote international cooperation. This discussion is relevant to the basic conditions for a successful public-private partnership with educational institutions and extended education and sheds light on the impact, lessons, and challenges. The public is increasingly concerned about the importance of higher education in the 21st century. This chapter explores some of the key functions of an innovative education system that supports the development of education in Nigeria and enhances people’s ability to use information. Nigeria’s education system re-emphasizes the importance of public and private universities, but the country does not have a sustainable education system and well-equipped educational institutions to support people’s ability to use information, learning, education, and research activities.