Reviewerly/exHarmony huggingface dataset:
MULTIVARIATE STATISTICAL APPROACH FOR ASSESSMENT OF GROUNDWATER QUALITY AT HADEJIA-JAMAARE-KOMADUGU- YOBE BASIN, NIGERIA

Assessment of the processes that control groundwater quality is significant for the sustainable development of water resources. Groundwater samples collected from the study area were appropriately analyzed in the laboratory. The study approach employed the use of multivariate statistical tools; Principal component and cluster analyses on the data, in order to understand the groundwater condition of the area, with a view to the concentration of different parameters in the water and other factors controlling the groundwater quality. Based on the Eigen value-one criterion, eleven (11) components were chosen after Varimax rotation. The first Varimax factor (VF1) contained strong factor loadings on Pb, Mo, Cd and Ni which account for 15.404%variance of the water quality data. The 2nd Varimax factor (VF2) has strong loadings on Electrical conductivity (EC), total dissolved solid (TDS), Cl and Temperature, with a variance of 14.068%. The 11 Varimax factors explained 81.91% of the variability of the water quality data. The strong loading for Pb, Mo and Cd could be due to industrial effluents. While the high loading for EC, TDS and Cl could be due to salinity build up in the area as a result of the intensive agricultural activities. These results suggest the possibility of effects of anthropogenic activities; industrial effluents and intensive application of agro-chemicals. There is need forproper discharge of industrial effluents and application of agro-chemicals.
Vocabulary Index as a Sustainable Resource for Teaching Extended Writing in the Post-Pandemic Era

In the wake of the COVID-19 pandemic, Malaysian English teachers identified a pressing need to support upper primary school pupils, particularly those in the upper levels, in the effective composition of extended writing. Additionally, these educators required more innovative methodologies for teaching vocabulary in this context. Consequently, the current study aimed to develop a vocabulary index as a suggested resource for Malaysian English teachers instructing upper primary school pupils on extended writing. To achieve this, a quantitative computational research strategy and corpus-driven research design were employed. A purposive sampling technique was used to select 560 advanced upper primary school pupils from 28 schools, each with high English performance in the capital of each state and the federal territory of Malaysia, who produced a total of 152,187 words in extended writing for analysis. LancsBox, a primary computational linguistics application, was used for data processing. Given that the vocabulary index for extended writing necessitates a more comprehensive coverage of vocabulary, functional and content words were included, and keywords, raw and normalised frequencies were analysed and reported. Through the vocabulary index built in this study, the researchers found English teachers in Malaysia should utilise local issues in writing prompts, emphasise the use of both positive and negative adjectives, introduce complex sentence structures to enhance pupils’ writing abilities and also train pupils to organise the ideas in their writing. Future linguistic studies could replicate the present investigation, so that it can respond to their classroom needs.
Reading Comprehension and Behavior in Children Using E-books vs. Printed Books

The purpose of this research is to investigate the influence that personalized, gamified, and PDF electronic reading practices have on the attitudes which fifth-grade students possess toward e-reading experiences, as well as how these stances affect the students' motivation and reading comprehension while they are learning English as a second/foreign language (EFL). For the purpose of the study, there were a total of 84 fifth-grade kids from public schools in Greece, who participated. These students were split up into three different experimental groups and a control one. Participants in the experimental groups read throughout the treatment period according to a preset schedule using one of three diverse electronic reading formats (PDF, gamified, or customized), whilst participants in the control group read utilizing a paper guided reading plan. The participants' experiences playing video games online were analyzed via a technique called the quasi-experimental approach. According to the findings of the research, the experimental group and the control group did not significantly vary from one another in terms of their levels of reading comprehension. On the other hand, in comparison to the participants in the control group, those who took part in the experiments reported having more favorable sentiments regarding their electronic reading experiences and were more inspired to read. As indicated from the research findings, kids may experience an increase in their desire to read when they use electronic gadgets. This study has implications for educators and policymakers as they consider incorporating digital reading practices into their teaching methods, particularly when it comes to improving students' motivation to read.
Chaotic diffusion of the fundamental frequencies in the Solar System (<i>Corrigendum</i>)

The long-term variations in the orbit of the Earth govern the insolation on its surface and hence its climate. The use of the astronomical signal, whose imprint has been recovered in the geological records, has revolutionized the determination of the geological timescales. However, the orbital variations beyond 60 Myr cannot be reliably predicted because of the chaotic dynamics of the planetary orbits in the Solar System. Taking this dynamical uncertainty into account is necessary for a complete astronomical calibration of geological records. Our work addresses this problem with a statistical analysis of 120 000 orbital solutions of the secular model of the Solar System ranging from 500 Myr to 5 Gyr. We obtain the marginal probability density functions of the fundamental secular frequencies using kernel density estimation. The uncertainty of the density estimation is also obtained here in the form of confidence intervals determined by the moving block bootstrap method. The results of the secular model are shown to be in good agreement with those of the direct integrations of a comprehensive model of the Solar System. Application of our work is illustrated on two geological data sets: the Newark-Hartford records and the Libsack core.
Trusted Framework for Online Banking in Public Cloud Using Multi-Factor Authentication Using Block-Chain Framework

There are always potential hazards from hackers, adware, malware, and viruses. Many big international corporations have experienced hacking and security breaches in the previous few years. In certain instances, this has resulted in the leakage of private and confidential information, such as bank account information, addresses, and transactions, but there are security measures in place that can block these things before they get too close to the company's private data. This is crucial for both secrecy and to avoid paying the steep fines levied on businesses that fail to adequately safeguard customer information. The project is a verification mechanism that only allows users with the proper input credentials to access the system. The project involves modules or user certificates. Security credentials come in a variety of forms. Thus, we incorporate a unique blockchain for banking security and user authentication in this proposed methodology. This degree of authentication reduces the possibility of hacking and the loss of sensitive data. Also, in the current environment, safer bank transactions are necessary due to advancements in security technologies. They have also made advances into industries, healthcare, telecommunications, and home automation, among others. A distributed ledger is basically what a blockchain is. It can keep information about who owns a certain piece of property or, for example, a bond. A permanent record of ownership can be maintained using technology, which also makes it possible for parties with a low level of trust to exchange the asset. Key Words: Custom Blockchain, Distributed Ledger, Authentications, Confidentiality, Transactions, Security System, Credentials, Banking Security, etc.
ABENEARIO: A system for learning early maths with ABN

ABN (Abierto Basado en Números-Open Calculation Based on Numbers) is a method for teaching basic arithmetic operations in primary education that has become popular in recent years and that is based on the decomposition of numbers through manipulative materials that encourage mental calculation. Currently there is limited number of tools that can be used to support the ABN method and so this article presents the design and development of two tools that facilitate learning with this method, a physical device, ABENEARIO-P, and a virtual device (web application), ABENEARIO-V, that complements the physical device. In addition, a study of the use of these tools was carried out with 80 learners (ages 7 and 9) and 9 teachers with a focus on ABENEARIO-V. The results of this study showed a positive evaluation of the tool by both learners and teachers, an adequate time to complete the mathematical operations assigned to learners and an improvement in performance as the tool was used. As a conclusion, it is important to provide adequate tools that can support teachers and learners in the practice with the ABN method as in the case of ABENEARIO-P and ABENEARIO-V. Limitations refer mainly to the context of the study, which was conducted at a time of severe social distance restrictions during the COVID-19 pandemic on touching physical devices or being able to gather a larger number of learners in the classroom.
Hope speech detection in Spanish

In recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech detection, identification of offensive language or detection of abusive language. We define hope speech as the type of speech that is able to relax a hostile environment and that helps, gives suggestions and inspires for good to a number of people when they are in times of illness, stress, loneliness or depression. Detecting it automatically, in order to give greater diffusion to positive comments, can have a very significant effect when it comes to fighting against sexual or racial discrimination or when we intend to foster less bellicose environments. In this article we perform a complete study on hope speech, analyzing existing solutions and available resources. In addition, we have generated a quality resource, SpanishHopeEDI, a new Spanish Twitter dataset on LGBT community, and we have conducted some experiments that can serve as a baseline for further research.
SELF-ACTUALIZATION APPLICATION IN HELPING HUMAN CHARACTER DEVELOPMENT BASED ON FLORENCE LITTAUER PERSONALITY TEST BASED ON ANDROID

A midlife crisis is a stage when a person feels anxious, worried, and confused about their purpose in life. This condition occurs when a person currently doubts their future and quality of life. The quarter-life crisis phase can be overcome with better self-awareness, better self-awareness and appreciation, and increased user productivity. Therefore, self-realization is the right solution to survive the Quarter Life crisis. Self-actualization (selftuazion) offers several interesting features tailored to the needs of users in self-actualization, such as self-assessment, ToDo application and statistics, interesting articles, self-introduction pages, motivational quotes, and reminder notifications to help in the process of loving yourself. The results of the pilot test on 22 target group respondents showed that the functions contained in Selftuazion had a good effect on respondents in overcoming the problem of Quarter Life Crisis. This application produces 20 pages with features that are in accordance with self-actualization, based on the results of testing with users that the application can be used properly and get a score of 88 in the acceptable category with grade B or Good.
ICTs and new scenarios for diversity

Research is a process aimed at seeking new knowledge, in this case, it will be to find alternative paths in the field of new technologies that serve to support special educational needs. Society demands these technological contributions to solve problems that contribute to inclusion, which led man to work with greater ergonomics; The school, a social institution, also needs these resources so that all students can build a teaching process of functional and meaningful learning for every student. The educational system outlines an education that attends to the educational needs of all students, and from these pages, the intention is that new technologies are a path of support that assists diversity and inclusion.
IMPLICATIONS OF ELITE EDUCATION THEORY ON SOCIAL PROCESSES

At the core of the “elite education philosophy” is the idea of “selectivity” formed in the course of historical development. The criterion of “philosophy of selectivity” was defined by Plato in the IV century BC and reads as follows: “Philosophy is not inherent in the crowd” (State, 494 a). In the XX century, N.A. Berdyaev, while developing this tradition, in his book “The Kingdom of Spirituality and the Kingdom of the Stubborn’, touched upon the problem of the philosophy of choice and wrote: There are two kinds of philosophy - the philosophy of values and the philosophy of profit. Value means quality, and in practice the philosophy of quantity prevails. This article discusses this.
Design of English Teaching Comprehensive Evaluation System Based on Improved GLR Algorithm

With the continuous development of campus network and information technology, computers have entered every corner of society, such as schools and families. The traditional teaching evaluation method is no longer suitable for the current teaching form that is developing rapidly. In order to adapt to the new situation and make full use of modern infrastructure, online teaching evaluation will become the mainstream form of school evaluation. This system adopts the B/S system structure and GLR algorithm, introduces each functional module, GLR algorithm, and comprehensive evaluation model of the system in detail, and then designs the software and hardware development environment of the system. Finally, through the B/S system structure and GLR The application of the algorithmic English teaching comprehensive evaluation syntax analyzer finally realizes the function of the teacher evaluation management module. The system test shows that the query evaluation data in the comprehensive English teaching evaluation of the system meets the requirements, and the modified evaluation data can be entered normally and the data can be deleted normally. The comprehensive evaluation data is calculated correctly, which further shows that the system has excellent applicable value.
Dekatkan Mahasiswa dengan teknologi melalui pelatihan aplikasi Microsoft Office dan Google Form

Lecturing in the era of digital society are learn whose era is full of technological sophistication. Students are required to follow the course of technological developments. Starting from looking for learning references to college assignments. This service activity is organized by the Technical Implementation Unit of Database Information Technology (UPT TIPD) STAIN Mandailing Natal by involving students from semester 1 to semester 7. This activity is packaged in the form of training (workshop) by presenting 2 experts in their respective fields. This activity is a community service activity in the form of assistance in the introduction of learning applications through Microsoft Office applications and Google Forms, the targets of this service are students who are still blind to the use of these two important applications. Even though the benefits of mastering the application are very helpful for them in completing their lecture assignments and even for their final assignments. This service uses a service learning (SL)-based learning model development method focusing on the introduction of learning applications in the form of Microsoft Word and the use of Google Forms.
The Comparison of Pricing Models for Cryptocurrency

Since cryptocurrency went viral, it has been a profound question about how to evaluate the price value for this special currency.On account of the attributes of cryptocurrency, the factors that would be considered are different from traditional stock in asset pricing.This paper introduces four models used for asset pricing of cryptocurrency: CAPM, three-factor model, four-factor model, and n-factor model.Based on the overview of these models and research results, we draw some conclusions related to the actual applications and practicality of the models.In consideration of the cryptographic features of blockchain, we compare these results of models to figure out a better method to recognize the price changing of cryptocurrency and propose some flaws in these approaches.With the asset pricing model being modified and more factors being taken into the discussion, the accuracy of the prediction has been improved significantly step by step.At last, the complication of cryptocurrency makes it difficult to have the exact number of prices.Hence, we are looking forward to establishing perfect models to give a more accurate explanation for the price changing in the CC market with a more fully interpretation of it.These results shed light on offering a thorough look at the current model to evaluate cryptocurrency.
Research on the Development Trend of Block-Chain Audit Theory——Based on CiteSpace V Analysis

Blockchain audit is the development direction of information technology audit that is highly concerned by the audit industry.This paper employs mathematical statistics theory and related analysis methods and uses CiteSpace V knowledge graph to carry out keyword cluster analysis and spatio-temporal evolution analysis of relevant literature on blockchain audit in the SSCI & CNKI databases in recent years.The study finds: (1) Blockchain technology research has tended to integrate with the audit field, and has longterm research enthusiasm; (2) Blockchain technology and audit theory and practical application scenarios exist Many similarities; (3) The integration of blockchain and auditing entity technology can improve the economic supervision function of auditing, data security, and automated auditing and audit method innovation.
Application and Research of Task Crowdsourcing Trusted Payment Based on Blockchain

In order to improve the efficiency of project execution within the enterprise, prevent single point failure in the process of the project, and prevent violations in value transfer, this paper proposes a trusted payment system for task crowdsourcing based on blockchain, which realizes decentralization and ensures the security and efficiency of the system.Through the point-to-point value transfer and post-payment settlement mechanisms, the fairness and transparency of the system's value transfer can be improved.
Dataset: Mapping the Landscape of Cyber Law and Cyber-Harassment Research: A Comprehensive Data Analysis

This data article presents a comprehensive analysis of cyber law and cyber-harassment-related journal articles within the field of law. The data was collected using the lens.org platform, employing keyword searches for "cyberlaw" and "cyber-harassment," and subsequently filtering the results by document type (journal articles) and subject matter (law). The final dataset comprises 143 scholarly works, which were analyzed to identify the top institutions, fields of study, authors, countries, and publishers involved in this area of research. The results reveal that Cardiff University is the most prolific institution, with psychology being the most common field of study. The United Kingdom is the most active country, and Informa UK Limited is the top publisher. This data is valuable for researchers seeking literature related to cyber law and cyber-harassment, offering insights into the prevalent themes and trends in this rapidly evolving domain.&#x0D; Highlights:&#x0D; &#x0D; The prevalence of psychology as the top field of study, indicating the significant impact of cyber-harassment on mental well-being.&#x0D; The United Kingdom's role as the most active country in publishing related research, demonstrating its commitment to addressing cyber law and harassment issues.&#x0D; The rapid development of cyber-harassment and its association with increased risk factors, emphasizing the need for ongoing research and preventative measures.&#x0D; &#x0D;
An intelligent dimming method based on human expression and gesture fusion recognition for smart home

According to the demand of future smart home for lighting experience, an embedded intelligent LED dimming system based on the Raspberry Pi 4B is proposed. The system detects the human proximity distance and captures the gesture movements and other parameters through one ADPS-9960 sensor. An embedded miniature CSI camera OV5647 is used to collect the user's facial expression image data. PWM signal is generated from Raspberry Pi GPIO pin to control the LED illumination. PWM duty cycle range is determined by the fusion results of normalized weighted modulation from the expression type recognized from the facial images and the gesture detected byADPS-9960. Under the basic 3-tier CNN recognition model framework, the expression recognition is further enhanced by introducing the fusion with Face landmarks and HOG features. The experimental results show that the proposed dimming system can adaptively control the luminaire brightness according to the user's psychological state and behavior, and can light off when the person leaves the light, which meets the requirements of modern smart home for user light experience and energy saving.
NFTeller: Dual Centric Visual Analytics of NFT Transactions

Non-fungible tokens (NFTs) can certify the authenticity and scarcity of digital assets on the blockchain. There is an urgent need to identify impact attributes from various potential factors and further evaluate NFT collectibles. Nevertheless, the task is challenging due to the massive amount of heterogeneous and multi-modal data (e.g., social media text, numerical transaction data, and images) in NFT transactions. To this end, we present an interactive visual analytics system, NFTeller, that provides a dual-centric perspective analysis of NFT transactions. The system i) summarizes the temporal evolution and correlation of transaction patterns and dynamic impact attributes of NFT collection projects; ii) presents an augmented chord diagram with a radial stacked bar chart for exploring the co-collected projects and co-occurring whale accounts. We derive in-depth insights from case studies on a real data set to evaluate the systems’ effectiveness and usability.