Reviewerly/exHarmony huggingface dataset:
Distributed Ledger Cybersecurity Resilience Framework in a Post Quantum CryptographyEra

Mission-critical infrastructures and systems are increasingly adopting enterprise blockchain and distributed ledger technologies without fully understanding the vulnerability, threat and risk environment that exists in today’s environment. Further; organizations are less prepared for the coming ominous threat from Quantum Computers (QC). In 2018, Gartner revealed that Quantum Computing (QC) is a digital disruption that organizations may not be prepared for and CIOs may not see coming. Cyber-attacks on enterprise distributed ledgers can adversely impact intellectual property, healthcare information, personally-identifying information, human safety, and the reputation and trust of organizations. Enterprise Distributed Ledgers are complex systems that incorporate cryptography, fault-tolerance, and distributed consensus and its cybersecurity is not well understood in a systematic and thorough way. Standard network defenses and threat detection are not enough thwarted adversaries from exploiting vulnerable distributed ledgers in a PQC environment. This threat environment requires a new Cyber Resilient approach that is built-in and accounts for the arrival of large-scale, fault-tolerant QCs to be immediately implemented into enterprise blockchain deployments. To date there are no known public plans or strategies to incorporate Cyber-Resilience into enterprise distributed ledgers in the Post Quantum Cryptography (PQC) era. This research proposes an enterprise distributed ledger Cyber Resilient framework that can be used to analyzing the security and risk of enterprise distributed ledger systems. Specifically, the author proposes metrics, analysis methodologies and performance parameters to be included in an enterprise distributed ledger framework that is measurable, testable, and affordable in the PQC era
Using Chatbots for Customer Care

Chatbots have been applied by brands for providing customer care online, but most experiences are at an early stage. The research sets out to explore which advantages and disadvantages chatbots can bring to brands when used in customer care by studying two companies in Portugal. These exploratory comparative case studies were explored with qualitative methods, namely in-depth interviews with relevant agents. The authors concluded that chatbots afford positive results for brands, such as reducing customer care costs and enhancing proximity by being constantly available and responding promptly, but they also pose risks. They start out with an initial database of matches between keywords, questions, and answers and need interaction to evolve and improve. During this initial stage, they often afford negative brand experiences and require constant human monitoring and curating. However, in a maturity stage, they can enhance performance and satisfaction of customer care, motivate shopping by impulse, and nurture loyalty.
IMPROVING STUDENTS’ UNDERSTANDING OF IMPERATIVE SENTENCES BY USING TOTAL PHYSICAL RESPONSE METHOD

This research is aimed at knowing whether students’ understanding of imperative sentence can be improved by using Total Physical Response (TPR) method . This research uses Classroom Action Research (CAR). The Classroom Action Research design that is used in this research is Kurt Lewin’s Design; it consists of two cycles. Every cycle consists of four phases those are: planning, acting, observing, and reflecting. The subject of this research is the students of VII-D class of SMPN 1 Cimarga academic year 2010/2011. In collecting the data, this research uses observation, interview and test. The findings of the study are: first, related to the test result, using TPR method help students in understanding the imperative sentence and the students were able in answering the question about imperative sentence. It was proved by the pretest and the posttest in cycle 1 and cycle2 . Second, related to the observation result showed that the students were more active and interested in learning grammar especially imperative sentence in the classroom. Third, related to the interview result, it could be known that with using Total Physical Response method, the students’ understanding on imperative sentence has improved and also helped the teacher to find the appropriate strategy in teaching imperative sentece.
Supervised Linear Dimensionality Reduction Based on Factor Analysis and Information-Theoertic Criteria

Recently supervised linear dimensionality reduction method based on Information-Theoretic Criteria has attracted more attention. In existing methods, the first and second order statistics of the data in the original high-dimensional space is estimated, and then the transformation matrix based on the information-theoretic criteria is designed. However, it is difficult to accurately estimate these statistics in the original high-dimensional space, especially in the case of limited data. Thus the transformation matrix obtained may be nonoptimal, which will affect the final classification performance. To solve this problem, a novel supervised linear dimensionality reduction method is proposed in this paper. In our method, the statistical structure of the transformed low-dimensional subspace is described via factor analysis (FA) model, while the mutual information (MI) between the transformed data and their class labels is maximized. Moreover, the joint optimization of MI function and log-likelihood function is achieved, which can not only reduce the estimation errors, but also ensure the separability of the transformed data. Experimental results on benchmark datasets and radar data demonstrate the effectiveness of our method.
Penerapan Fisika Komputasi dengan MATLAB/Simulink pada Pemodelan Infeksi Wabah COVID-19 di Indonesia melalui Modifikasi Persamaan Differensial Bernoulli

The application of physics, in particular, the topic of differential equations is commonly used in mathematics, physics, engineering, and various other sciences to explain a phenomenon in a system, to produce a form of simulation and prediction of a fairly good mathematical equation is needed. This paper examines the use of MATLAB / Simulink to assist in modeling the solution of the differential equation problems by providing a case of mathematical modeling in the analysis of the COVID-19 plague in Indonesia in 2020 with the modification of the Bernoulli equation. In this study, it can be concluded that MATLAB / Simulink can be used to solve differential equation problems with Bernoulli's modification in the case of COVID-19 plague modeling quite accurately.
Deformable 3D Brain MRI Registration with Deep Learning

Traditional deformable registration methods have achieved impressive performances but are computationally time-consuming since they have to optimize an objective function for each new pair of image ...
Design and Implementation of Internet of Things in Electricity Terminal Identity Authentication System

With the advent of the era of big data, massive terminal data in the Internet of Things in Electricity has become the cornerstone of building a ubiquitous Internet of Things in Electricity, but new challenges have emerged in data security. In order to ensure the authenticity and credibility of the data source in the Internet of Things in Electricity, it is necessary to study the identity and authentication methods of Human and Things integration, and realize the responsibility of data to the person and responsibility to the terminal to improve the accuracy and authenticity of the data. Different from other Internet of Things, many handheld terminals need to be used in some applications of the Internet of Things in Electricity, such as transmission line inspection and substation inspection. In this case, if only the terminal identity is authenticated, it may cause falsehood. Data uploading, important data loss and other issues, Therefore, this paper proposes the design of an identity authentication system based on the “person and thing” integrated terminal identity authentication technology, which not only ensures the reliability of data collection source, but also ensures data responsibility to people, which can greatly improve the authenticity and availability of data.
The Application of Project Based Learning to Improve Students’ Ability in Analyzing Narrative Texts of English for SMA

The purpose of this study was to improve English learning achievement through the application of the Problem Based Learning for grade XII of class IPA.1 students at SMA Negeri 1 Mlonggo. This research is a collaborative classroom action research, assigning 30 students of class IPA-1 of SMA Negeri 1 Mlonggo as the research participants. Data were collected through observation and test. This research has two cycles. Each implements four stages, namely planning, implementation, observation and evaluation, analysis and reflection. Each cycle is carried out in three meetings with 2x45 minutes each. Results show that the increase of respective cycles is as follows: (1) of 36 students, 20 (57%) achieved the mastery learning in the pre-cycle, (2) in the first cycle, 26 (74%) students completed the mastery learning, and (3) in the second cycle, 34 (97%) finished the minimum learning mastery. In average, the achievement in pre-cycle 72.86 increase into 79.00 (8%) in cycle I, and into 84.29 (16%) in cycle II.
Spatial Analysis of Erosion Danger Level at Rambut Watershed Area Tegal District

Erosion is a series of sedimentation processes associated with weathering, releasing, transporting, and settling grains of earth or earth's crust. As a watershed, watersheds are very vulnerable to erosion and sedimentation problems. This research was aimed to predict the erosion danger level at Rambut Watershed Area based on the Universal Soil Loss Equation Formula, by applying a Geographical Information System analysis. Based on the formula, we used four types of maps, i.e. rainfall, soil, slope, and land cover map. On each map, classification was done to get four to five classes based on a specific factor standard. To get the final result from the erosion danger levels which is categorized into five classes, they are very light, light, moderate, heavy, and very heavy, it is necessary to overlay the four types of maps. The results showed that the erosion danger levels at Rambut watershed area ranged from very light to very heavy, with the percentages of the affected areas are 46.91%; 35.13%; 12.47%; 3.67%; and 1.82% respectively. The very heavy and heavy danger areas covered 356.02 ha. And 717.99 ha. respectively. The results are used as a database to make a good planning watershed area management.&#x0D; Keywords: Erosion, GIS, overlay, USLE, watershed management, weathering
Subject and Course Guides: COVID-19 Details for UIC Libraries: Frequently Asked Questions

This guide is to keep people updated on requirements for entering the library during Covid-19 restrictions
Occupational Accident Investigation Which Results in the Amputation of Metal Manufacturing Workers ' Fingers

Everyone who performs manual handling will be at risk for injury. Injuries are not only caused by the heavy burden that is handled but the light and repetitive work can pose a risk of injury. This research analyses the cause of the work accident on manual handling which resulted in the amputation of the fingers of the hand on the metal manufacturing workers. Research is done qualitatively with case studies. The main informant is a worker who has the iron plate clamping to the injury of the hand and amputation. The supporting informant is the HSE officer of the industry. Data analysis through interactive models with data validation using source triangulation. The main cause of the work accident is because of the movements performed at the time of removal of the piece of iron plates that were performed along with the co-worker manually handling were not coordinated. His fellow informant lifts the plate without giving command, so that the finger position of the main informant is pinned. The injuries experienced by the informant are more severe because the pieces of iron plates that will be lifted are still contained the remaining rough and sharp pieces that are eventually amputated on one of the right hand fingers.
Role Playe Method for Numeracy Ability of Students with Intellectual Disability

Intellectual disability children who have the below intelligence average hamper their academic intelligence such as numeracy learning especially adding and subtracting. Children with intellectual disability in SLB experience difficulty to do adding and subtracting operation. The role playe method require the students to be active in learning. The purpose of this study is to describe the ability of addition and subtraction of the intellectual disability students before and after using the role playe method. The research is Pre-Experimental Design with One Group Pre-test Post-test Form. The instruments are written and oral test for pre-test and post-test. The analysis technique used is Wilcoxon Test with manual calculation.
백워드 설계를 적용한 국어과 교육과정 재구성 방안 연구 - IB 교육과정의 단원 설계를 중심으로 -

In this study, I proposed a plan to reconstruct the Korean language curriculum based on the IB''s unit design in order to realize the competency-based curriculum at the teacher level and to encourage active teacher-level reconstruction of Korean language curriculum. IB''s unit design encourage active teacher-level reconstruction of curriculum by respecting teachers'' autonomy and professionalism. It also has the advantage of systematically connecting objectives and assessments and optimizing learning content based on a backward design model. Therefore, this study developed capacity-based curriculum reorganization plan at the teacher level using the IB''s unit design and applied it to the 2015 curriculum. This has the following advantages. First, capacity-based curriculum at the teacher level can be realized by having the criteria reconstructed based on competency. Second, teacher-level curriculum reconstruction is activated by providing a systematic curriculum reorganization framework. Third, unit design based on the backward design ensures optimal learning content and consistency of objectives and assessments.
Accurate Time Series Forecasting

The main focus of my research is improving the accuracy of time series forecasting using global ensemble approaches. The forecasting/prediction models that I develop can be used to address many real-world forecasting problems such as sales demand forecasting, energy demand forecasting and weather forecasting.
WoodWinder : MIDI Controlled Recorder

WoodWinder is a machine whose job is to interpret the signal from a Musical Instrument Digital Interface (MIDI) keyboard and make a recorder play accordingly. This was performed by simulating the t ...
Synthetic Data Generation for Anonymization

Because of regulations but also from a need to find willing participants for surveys, any released data needs to have some sort of privacy preservation. Privacy preservation, however, always requir ...
Testing the stationarity assumption in software effort estimation datasets

Software effort estimation (SEE) models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future projects. The dynamic nature of several aspects of the software engineering process could mean that this assumption does not hold in at least some cases. This study employs three kernel estimator functions to test the stationarity assumption in three software engineering datasets that have been used in the construction of software effort estimation models. The kernel estimators are used in the generation of non-uniform weights which are subsequently employed in weighted linear regression modeling. Prediction errors are compared to those obtained from uniform models. Our results indicate that, for datasets that exhibit underlying non-stationary processes, uniform models are more accurate than non-uniform models. In contrast, the accuracy of uniform and non-uniform models for datasets that exhibited stationary processes was essentially equivalent. The results of our study also confirm prior findings that the accuracy of effort estimation models is independent of the type of kernel estimator function used in model development.
El constructivismo y su prevalencia en el proceso de enseñanza-aprendizaje en la educación básica en Machala. Caso de estudio

This research dealt with the educational paradigm that prevails in the teaching-learning process of the “Heroes of Paquisha” School. The objective was to identify the prevalence of some educational theory in which this process is centered. The type of research is qualitative-quantitative in nature, for which it relied on theoretical methods and a questionnaire for collecting field information. Among the results obtained, it was found that the predominant model is the traditional one, although from the teaching perspective it was shown to be the constructivist, a situation opposed to that corroborated by observation in practice. Which led to the conclusion that teachers still have shortcomings in the application of content under a declared pedagogical scheme and that it is focused on the student, which ultimately damages the actions in the classroom to the speakers, in addition to discouraging them and as a consequence their interest in study decreases, which results in low academic performance.
Surround Sound Auteurs and the Fragmenting of Genre

Multi-channel sonic experience is derived from a myriad of technologicalprocesses, shaped by market forces, configured by creative decision makersand translated through audience taste preferences. ...
ANALISIS KESALAHAN BERBAHASA MAHASISWA IKIP SILIWANGI DALAM LITERASI MEDIA

This study describes the types of errors in language towards students, errors and absorptive language in IKIP Siliwangi Bandung students. In writing status on social media networks (WhatsApp and Instagram). The object of research is IKIP Siliwangi Bandung students. The subjects in this study were 10 students. This study intends to find out the knowledge of students in using Indonesian language that is good and right, the second aims to explain the forms of language errors. The data source in this study uses Indonesian status recording (screenshoot) and observation. The data in this study are words or sentences in whatsapp and instagram status. The method of listening or using the record technique and note technique is a suitable method in collecting data in this study and the research method used in this research is descriptive qualitative research method, the research method is carried out in natural conditions and is analytical. Data analysis was carried out by the researcher with the first collecting data with (screenshoot), the second step the researchers conducted data reduction, and concluded the results of the data. The results of this study concluded that the errors in language that are often done by students who use many of the words abbreviations, relaxed, alay included in the area and the nature of language errors, namely phonological errors, fossil errors and syntax errors. Furthermore, there have been 23 data collected. Student data in social media networks, it was found that student writing in social media status there were errors in language. Mistakes that are often written by students in writing on social media networks are fossil errors. Language mistakes are mistakes that are not realized and are considered not wrong by students.
The Busy Beaver Frontier.

The Busy Beaver function, with its incomprehensibly rapid growth, has captivated generations of computer scientists, mathematicians, and hobbyists. In this survey, I o er a personal view of the BB function 58 years after its introduction, emphasizing lesser-known insights, recent progress, and especially favorite open problems. Examples of such problems include: when does the BB function rst exceed the Ackermann function? Is the value of BB(20) independent of set theory? Can we prove that BB(n + 1) > 2BB(n) for large enough n? Given BB(n), how many advice bits are needed to compute BB(n + 1)? Do all Busy Beavers halt on all inputs, not just the 0 input? Is it decidable, given n, whether BB(n) is even or odd?
Aimed at estimating the daily global solar radiation at the new site

The research is aimed at estimating the daily global solar radiation at the new site of Federal University Dutsin-ma, KatsinaState, Northwest Nigeria, between March2018 to April 2019. The Study a realies exactly between longitude7o 30AÂÂÂ20.32o E of the Greenwhich meridian and latitude12o 27AÂÂÂ38.66o N of the equator. This research made use of HargreavesSamani equation in estimating the amount of solar radiation on the proposed buildings using minimum and maximum temperature results obtained to predict the amount of solar radiated and also, Added the formulation of mode lt as certain the performance of the structures
Real-Time Measurement of Thread Number of Rail Fastener

A real-time measurement method for the thread number of rail fastener is proposed. The measurement is achieved by the processing of thread images. After analysis, the fastener thread has the elliptical feature, so two parameters---elliptical similarity and elliptical integrity are proposed. Based on the two parameters, the thread region is located. Combining with the light intensity distribution of thread region and thread positions, the thread number is measured. 200 samples are chosen to verify the validity of this method. Experimental data show that the limitation error of this method can reach 0.1985 threads.
Protecting your eyes while using screens

Screens are part of everyday life. From home televisions and desktop computers to smartphones and laptops, you might routinely be viewing multiple screens a day.
Peningkatan Ekstrasi Ciri Sinyal Epilepsi Menggunakan Teknik Sampling

Epilepsy is a brain disorder characterized by repeated seizures. Epileptic seizures are episodes that can vary from short periods to long periods and are almost undetectable. Electroencephalography (EEG) is a way to record the activities of the human brain. EEG is a brain sensor that can be used to determine epilepsy. The purpose of this study is to classify the signals of people who have epilepsy disease and the signals of people in good health. The method used is a sampling technique method to find the characteristics of EEG signals and the K-Nearest Neighbor (KNN) method to find the classification of EEG signals. The data used is EEG signal data consisting of five data sets (data set A, data set B, data set C, data set D, and data set E), this data comes from public data. Each data set contains 100 EEG signal data on one EEG sensor channel. This study only uses two classes, the first is Data Set A and the second is Data Set E. Data Set A is a person in normal condition and data set E is a person in a state of having epilepsy. In the sampling technique process, the values taken are the average value and the standard deviation value. Research that has been done yields an accuracy rate of 100%.