Reviewerly/exHarmony huggingface dataset:
BlockQoS: Fair Monetization of On-demand Quality-of-Service using Blockchains

Video conferencing has become an essential tool for working from home. However, poor audio/video quality resulting from unstable Internet connections undermines the productivity of important tasks. Additionally, the static monetization model for ISP networks, which employs third parties, cannot support on-demand and dynamic Quality-of-Service sessions that are necessary to maximize the Quality-of-Experience (QoE) of video conferencing. To address this, we introduce BlockQoS: Fair Monetization of On-Demand Quality-of-Service using Blockchains. BlockQoS allows clients to request and manage their Quality-of-Service requirements through a blockchain-based platform operating using a smart contract. It implements a decentralized monetization model to eliminate third parties, enforce transparency in service-level agreements (SLAs), and reduce blockchain operating costs by utilizing off-chain billing validated using zero-knowledge proofs (zk-SNARK). Additionally, we propose a Quality-of-Service delivery verification mechanism that enforces service level agreements on the hardware external to the blockchain, and a dynamic evaluation method based on the concept of Nash equilibrium in game theory that prevents malicious behavior by ISPs and users. We implemented BlockQoS over Ethereum with a Ryu controller, zk-SNARK, and SGX. Our experiments show that BlockQoS offers transaction cost reduction of up to 88% (gas cost) and latency reduction of up to 87% compared to the state-of-the-art on-chain solutions.
GEO-CHEMICAL CHARACTERIZATION OF HEAVY METALS IN GROUNDWATER AT OGALA COMMUNITY, ELEME LOCAL GOVERNMENT AREA OF RIVERS STATE, NIGERIA

Groundwater samples were collected from nine boreholes in Ogale Community, Eleme Local Government Area of Rivers State.The aim is to characterize and evaluate heavy metal concentration in the area using Atomic Absorption Spectrometer, Colorimeter, and Turbidimeter.The result shows that Mg ranges from 2.6mg/l-3.40mg/l,Mn ranges from 0.01mg/l-0.038mg/l,Fe ranges from 0.32mg/l-2.3mg/l,Cd ranges from 0.001mg/l-0.003mg/l,Cr ranges from 0.001mg/l-0.007mg/l,Ni ranges from 0.012mg/l-0.02mg/l,Pb ranges from 0.001mg/l-0.011mg/l,Zn ranges from 0.022mg/l-0.024mg/lNa goes from 4.47mg/l-7.78mg/l,and Ca ranges from 0.003mg/l-0.014mg/l.Other parameters that were analyzed are pH, Salinity, Turbidity, Electrical Conductivity, Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Total Alkalinity (TA), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and Chemical Oxygen Demand (COD).When the results were compared to various Standards (WHO 2007, Canadian Standard, NAFDAC, SON, and BIS), it showed a high concentration of Cd and Fe.It is advised that regular checks of the boreholes should be carried out to ascertain water quality, quality pipes and faucets should be used to prevent contamination, and tools like lime softeners should be used for water remediation.
Development of a Prototype Sensory Device as a Substitute for Single Sided Deaf People in Developing Nations

Hearing loss is the inability to hear sounds ranging from 20 decibels or more in one or both ears. It can affect one or both ears and leads to difficulty in hearing speech or sounds in general. Single-sided deafness or unilateral hearing loss is a very widespread disability. However, most people only see hearing loss as being a binary problem assuming that you either have perfect hearing in both ears or are completely deaf in both ears, and dismiss the other types of hearing loss. Sensory substitution involves remapping the information gathered by one sensory receptor to another. Sensory receptors regardless of the signals they receive or capture, all encode the gathered information as electrochemical signals. This biological property of sensory receptors, coupled with the human brain’s neuroplasticity allows sensory receptors to be substituted, giving rise to new methods of sensory perception. This study aims to develop a sensory device known as a localizer. The localizer detects sound using numerous sound sensors, and feeds the input to the microcontrollers which then use the input to control the eccentric mass motor by implementing various motor drivers. The results gotten from this prototype device shows great improvement in the ability of a single-sided deaf person to localize sound.
Security Awareness Model for Artificial Intelligence and Internet of Things

With human engagement replacing artificial intelligence in the provision of services, the position of intelligence systems is rapidly changing. The Internet of Things (IOT) plays a prominent role in these variations as it is a cutting-edge and developing technology that connects physical objects to the virtual world, enabling anytime, everywhere connectivity for anything. A technology known as the Internet of Things (IOT) enables the networked connection and data transfer of physical objects, people, gadgets, cars, and other things. IOT eliminates the need for computer-human contact by speaking directly to the user.This encourages increased communication between entities as a result. It can enhance the fundamental services provided in the industries of transportation, banking, healthcare, and education. Recent analyses have shown that the Internet of Things (IOT) and its related components are very susceptible to security vulnerabilities. Using artificial intelligence approaches, IOT security issues can be rectified (AI). AI develops crucial apps that enable data flow in an IoT environment. Intelligent transmission technique.
Deciphering Voice of the Customer using Text Analytics and Sentiment Analysis: An Interpretable Review Rating Prediction using RoBERTa

In this era of cut-throat competition among traditional and newer digital organizations, capturing, listening, and understanding customer voices are critical for success in the marketplace. The challenge to decipher the voice of the customer (VOC) has multiplied many times today, as now the number of customer reviews are present in multiple platforms and the data to be analyzed is huge. Sentiment analysis, and text analytics using machine learning, deep learning tools and transformer-based tools can be applied to gather meaningful insights from these data. This paper applies the traditional machine learning tools of the Naive Bayes classifier, Random Forest and AdaBoost to predict the customer review ratings. These results are compared with deep learning methods of CNN, RNN and Bi-LSTM and transformer-based approaches of BERT, DistilBERT and RoBERTa. The results show that RoBERTa has the highest accuracy among these methods. Paper also uses the explainable AI tool of LIME to understand the customer sentiments deeper in terms of why customers are giving a particular rating to the product. Business organizations will continue to use more and more AI tools to understand the customer feedback and the attempt in this paper is to learn how we can make predictions faster and more accurately.
Development of Deep Learning based Intelligent Approach for Credit Card Fraud Detection

Credit card fraud (CCF) has long been a major concern of institutions of financial groups and business partners, and it is also a global interest to researchers due to its growing popularity. In order to predict and detect the CCF, machine learning (ML) has proven to be one of the most promising techniques. But, class inequality is one of the main and recurring challenges when dealing with CCF tasks that hinder model performance. To overcome this challenges, a Deep Learning (DL) techniques are used by the researchers. In this research work, an efficient CCF detection (CCFD) system is developed by proposing a hybrid model called Convolutional Neural Network with Recurrent Neural Network (CNN-RNN). In this model, CNN acts as feature extraction for extracting the valuable information of CCF data and long-term dependency features are studied by RNN model. An imbalance problem is solved by Synthetic Minority Over Sampling Technique (SMOTE) technique. An experiment is conducted on European Dataset to validate the performance of CNN-RNN model with existing CNN and RNN model in terms of major parameters. The results proved that CNN-RNN model achieved 95.83% of precision, where CNN achieved 93.63% of precision and RNN achieved 88.50% of precision.
An Evaluation of Deep Learning-Based Object Identification

Identification of instances of semantic objects of a particular class, which has been heavily incorporated in people's lives through applications like autonomous driving and security monitoring, is one of the most crucial and challenging areas of computer vision. Recent developments in deep learning networks for detection have improved object detector accuracy. To provide a detailed review of the current state of object detection pipelines, we begin by analyzing the methodologies employed by classical detection models and providing the benchmark datasets used in this study. After that, we'll have a look at the one- and two-stage detectors in detail, before concluding with a summary of several object detection approaches. In addition, we provide a list of both old and new apps. It's not just a single branch of object detection that is examined. Finally, we look at how to utilize various object detection algorithms to create a system that is both efficient and effective. and identify a number of emerging patterns in order to better understand the using the most recent algorithms and doing more study.
THE CORRECTION TECHNIQUES USED IN TEACHING DICTATION AT THE 3rd SEMESTER STUDENTS OF ENGLISH DEPARTMENT OF TEACHER TRAINING AND EDUCATION FACULTY

Dictation is one of techniques in learning foreign language. Understanding dictation is not always easy for students. An English lecturer should choose suitable techniques to teach them in order not to make students bored because she is one of the factors that determines whether the teaching learning process will be successful or not. The lecturer has to be able to apply various techniques in teaching English because the students prefer listening and writing an easy text. So, the lecturer can use correction techniques like shadow dictation and passing the buck.
A CASE STUDY ON COLLEGE LEARNERS’ READING INTERESTS THROUGH WHATSAPP GROUP AMIDST VIRAL COVID-19 EMERGENCY

Amidst viral Covid-19 emergency, the minister of education and culture has instructed the teachers or lecturers and learners to utilize the social media as online teaching-learning process. In this case, the researchers tried to find out the college learners’ reading interests through social media (WhatsApp group). This research applied a case study design in which the data sources were interview and self-report questionnaire. The result of interview showed the college learners were interests and fun, enjoy, confident. Additionally, the college learners also had much time to read, and got new experiences. The result of self-report questionnaire described almost all college learners felt happy, enthusiastic, enjoy, confident, satisfied, belonged to WhatsApp group, better communication, and also the college learners had much time to read, a great deal of information, and academic achievement. WhatsApp group has become online teaching-learning media that can raise the college learners’ reading interests amidst viral Covid-19 emergency. The educators and learners were suggested to use the social media such as WhatsApp group as online teaching-learning media during pandemic.
Karen Barad’s agential realism and Niels Bohr’s conceptualism

In recent years, there has been a growing interest in the human and social sciences to­wards contemporary natural science. In this regard, we can talk about a kind of “natural sciences turn” in these fields of knowledge. It is not just a matter of an active use of ter­minological and ideological baggage from the arsenal of natural sciences, but we can even talk about direct borrowing of argumentation. American researcher Karen Barad is one of the leading figures of this movement. Barad connects her theoretical conception of agential realism directly with quantum mechanics in its interpretation proposed by Niels Bohr. The article compares some of the key concepts of the Bohr vision of quantum mechanics, such as phenomenon, agency of observation with the reading acquired by these concepts in Barad’s agential realism. On a comparative analysis of the interpreta­tion of these concepts by Bohr and Barad a number of problematic points of the concept of agential realism are revealed.
Perancangan Aplikasi Desain Bangunan 3D Menggunakan Virtual Reality dan Google Cardboard di Tjantik Kost Yogyakarta

Architectural presentations have evolved over time. Which starts from using hand drawings then continues to develop into visuals created by computers, the more advanced the technology, the presentation produced will be more interesting because the visual results are closer to the object of the original design. Therefore, researchers develop architectural presentations by applying Virtual Reality technology to Tjantik Kost Yogyakarta so that the architectural development and presentation process will be more interactive and interesting. Virtual Reality is a technology that can make users interact in a Virtual environment with computer media that is simulated in real time. The purpose of this study is to make it easier for clients to see the presentation of the building directly with results that are close to reality without having to go to the construction site and not waste time. The research methodology used is Rapid Application Development. The results of the study were in the form of a three-dimensional design of the Tjantik Kost Yogyakarta building which was designed using the Unity 3D game engine and the Android SDK plugin which was built for android-based smartphone version 9.0 pie which has an Accelerometer sensor and a gyroscope. The results and testing are proven by validation in the form of question and answer interviews of client owners from Tjantik Kost Yogyakarta.
Peranan Pustakawan Dalam Sistem Temu Balik Informasi di Perpustakaan Sekolah SMA N 1 Bukit Sundi

The main problem in this thesis is the role of the librarian in improving the information retrieval system in the school library of SMA N 1 Bukit Sundi. This study aims to identify and explain the role of librarians in information retrieval systems, and what obstacles are faced by librarians and users in information retrieval systems.The research method used in this research is the method qualitative research using descriptive type. Collection technique The data used are observation, interviews, and documentation. Technique The data analysis used is data reduction, data presentation, data withdrawal conclusion and verification. Guarantee the validity of the data in this study using triangulation of techniques, sources and time. The results of the study concluded that the librarian plays an important role in the information retrieval system. The role of the librarian in the information retrieval system is generally in the processing section such as cataloging, classifying library materials, and determining subject headings to facilitate data entry and information retrieval in the retrieval system. In addition, in terms of processing library materials, book inventory activities, labeling, barcode attachment, and book bag attachment are also carried out. In the service section, the librarian's role is more about returning and borrowing library materials,provide guidance to users regarding procedures for information retrieval, use of libraries, use of independent services and librarians also serve users if someone comes directly to ask the librarian about the information needed quickly and accurately. Librarians also act as educators (educators) as educational librarians, providing education such as mini-meetings once a year to provide education to users on how to use catalogs, managers, administrators, and also supervisors in information retrieval systems.Keywords: Librarian, Retrieval System
THE EFFECT OF SERVICE QUALITY ON STUDENT VISIT INTEREST TO THE LIBRARY OF UIN MAHMUD YUNUS BATUSANGKAR

This study deals with the effect of service quality on the interest of students visiting the library of UIN Mahmud Yunus Batusangkar. The purpose of this study was to see whether there was a significant effect of service quality on student interest in visiting the library. This type of research is survey research with a quantitative approach. The instrument used to collect data is a closed questionnaire with a Likert scale. Alternative answers are “strongly agree, agree, undecided, disagree and strongly disagree”. Analysis of the data used is simple regression. The results of this study indicate that there is a significant effect between service quality on student visitation interest where the results of statistical calculations show that 27.4% and 72.6% of other factors. This means that the quality of service has a positive influence on the interest in student visits, which is 27.4%, then the interest in student visits is influenced by other factors.Keywords: Library Service Quality, Visiting Interests, Libraries
The Influence of Service and Product Quality on Customer Satisfaction: A Study of UBa-Ventures PLC Bambili, Cameroon

Purpose: Service quality and customer satisfaction are very important concepts that companies must understand if they are to grow and remain competitive in the business environment. Service and product quality is considered to be very critical to any modern business because it contributes to higher customer’s satisfaction. The purpose of this study was to find out the implication of service and product quality on consumers’ satisfaction, Particular focus was placed on variables like responsiveness, reliability, empathy and how they affect consumers’ satisfaction. Methodology: To accomplish this task both quantitative and qualitative research approaches were applied. A sample of 150 respondents was selected from the customers of UBa ventures PLC Bambili using a simple random sampling technique. Questionnaire was the main instrument for data collection for the study. The data collected was analyzed using both descriptive and inferential statistics. The ordinary least square (OLS) was use to verify the Findings: We observed that, responsiveness, reliability has a positive effect and empathy has a negative effect in predicting customer satisfaction. From the finding, the results also reveal an interesting relationship between service and product quality on customer satisfaction. We observe that all the indicators of service and product quality have significant effect on customer satisfaction, thus this findings can help organization gain competitive advantage by improving their service and product quality in terms of reliability, responsiveness and empathy Unique Contribution: It was recommended that, hospitality industries should create a complaint desk where customers can register their complaints and a systematic procedure to handle customer’s complaints. Also, proper explanation and use of a well understood language is vital for effective communication of employees. Management should put in place strict guidelines to be followed while dealing with customer’s complaints to be satisfactorily handled and thus increase the level of customer satisfaction.
Successful Indonesian startups’ product blogs: A digital genre analysis and its pedagogical implications

Blogs can be deemed as an alternative digital media which have been strategically employed for business communication. One of the realizations is product blogs. As startups, which are identically linked to digital media, have been skyrocketing in number, product blogs play an integral role to accommodate their business communication. In writing an article for the product blogs, startups often open an internship vacancy for, among others, polytechnic students majoring English for business communication. However, generic structure of a product blog article is quite different from academic essays. There is a need to equip the students with adequate product blog article writing skills before they embark on internship. This study aims at empirically delving into generic structure of successful Indonesian startups’ product blogs. To achieve the aim, this research employed corpus-based research methodology. There were 33.430 tokens of product blogs from two unicorn startups. The framework for analysis was adapted from Askehave and Nielsen (2005). The findings show that there were three moves in the corpus, namely contextualizing product, detailing product, and soliciting response. Each move consisted of steps which were categorized into reading mode and navigating mode. The findings lead to pedagogical implications—inculcating the moves to polytechnic students majoring English for business communication—as an attempt to link and match between vocational pedagogy and industry requirements.
Development of Student Work Sheet (LKPD) based on Predict-Observe-Explain (POE) to Improve Students' Critical Thinking Ability in 2021/2022

This study aims to: (1) produce appropriate POE-based LKPD to improve learning activities and critical thinking skills of students at SMPN 38 Medan; (2) knowing the magnitude of the increase in student learning activities using POE-based LKPD; and(3) This study aims to determine the increase in students' critical thinking skills by using POE-based worksheets.This research is a research based on development (R&D) with a 4D Model design consisting of four stages, namely Define, Design, Develop, and Disseminate.The results showed that: (1) POE-based LKPD had been produced with a very good category and suitable to be used to improve learning activities and critical thinking skills of high school students; (2) the increase in students' learning activities using POEbased LKPD is indicated by the standard gain value of 0.726 in the high category; and (3) From the results of this study there was an increase in students' critical thinking skills using POE-based worksheets indicated by a standard gain value of 0.445 in the medium category.
Development of Macromedia Flash-Based Science Learning Media to Improve Learning Outcome of Students in Tanjungkubah 16 State Elementary School

This study aims to produce a macromedia flash-based science learning media that is valid, feasible and effective to use in improving student learning outcomes on the subject of human digestive organs.This research was conducted at UPT SD Negeri 16 Tanjungkubah.Expert Team that a percentage of 85.15% is obtained, which means that it is very valid, learning design experts get a percentage of 91.11% and media experts get a percentage of 82 .29%,then the science learning media based on macromedia flash was declared very valid by the validator for learning media at UPTD SD Negeri 16 Tanjungkubah.Based on the results of the recapitulation of student response questionnaires that have been carried out on 25 students, 2 students (8%) stated that they were not eligible for the developed media, and 23 students (92%).Then the science learning media based on macromedia flash is declared feasible.