Reviewerly/exHarmony huggingface dataset:
Implementasi Metode Decision Tree Pada Tingkat Prestasi Belajar Siswa di SMK Swasta Anak Bangsa

Data Mining is a series of processes to explore added value in the form of knowledge that has not been known manually from a data set. This grouping aims to determine the level of student success in the learning process that has been carried out. The approach used is quantitative. The subjects of this grouping are Class X (Ten) Academic Years 2018 to 2020. The data collection technique used is the learning outcome test. This grouping is done using Data Mining Rapid Miner 5.3 software, where the results will prove that the results of the evaluation of learning achievement are carried out by applying the C4.5 Algorithm. The results obtained are an accuracy value of 71.43%, meaning that the resulting rule is close to 100% correctness. Where the results of the Class Achieving precision label is 63.89% and the label Not Achieving is 92.31%. In accordance with these provisions, the results of manual calculations with Rapid Miner testing produce 11 models of rules or rules for Student
Application Analysis of Virtual Technology in Campus Network Security

With the rapid development of network information technology, the current local area network has been changed from exchange LAN to LAN shift, especially the exchange technology based virtual network development, welcomed the new technology and the challenge. The application of virtual technology in the campus network, in particular, can enrich the teaching content and form, greatly improve the teaching quality of education and level, but has certain security hidden danger. This paper focuses on the application of virtual technology in campus network security.
Securing Hospital Data with Blockchain and AI

In cyber world everything is dependent on data and all Artificial Intelligence algorithms discover knowledge from past data only, With the development of information technologies, the trend of integrating cyber, physical and social (CPS) systems to a highly unified information society, rather than just a digital Internet, is becoming increasing obvious. An increasing amount of personal data, including location information, web-searching behaviour, user calls, user preference, is being silently collected by the built-in sensors inside the products from those big companies, which brings in huge risk on privacy leakage of data owners. In this paper, we aim at securing data by combining blockchain and AI together, and design a Secure Networking architecture (termed as SecNet) to significantly improve the security of data sharing, and then the security of the whole network. In SecNet, to protect data, one of the biggest challenges is where and how to store data, because users have to give their data to service providers if they want to use certain services or applications.
Library Guides: Browser Extension - LibKey Nomad: Getting Started

LibKey Nomad is a browser extension that simplifies and streamlines access to the Purdue Library's subscription resources.
SISTEM INFORMASI PENDAFTARAN PASIEN BERBASIS WEB DI RUMAH SAKIT BHAYANGKARA BATAM DENGAN PHP DAN MYSQL

The web-based patient registration application at Bhayangkara Hospital in Batam is one of the applications engaged in the health sector that is helping patients to register easily. In registering patients, patients usually have to come to the Bhayangkara Batam Hospital to register with the registration section and then tell the patient's identity and complaints to the officer who registered the patient, this will make the patient time inefficient because they have to queue to wait their turn to register it. For that reason, the writer will make an application that is able to overcome these problems. In resolving these problems, the authors collect data and facts that exist in the application and then create a web-based patient registration information system at Bhayangkara Hospital in Batam that suits the needs of patients. In making a web-based patient registration information system at the Bhayangkara Hospital in Batam, the author uses the MySQL programming language. By creating a web-based patient registration information system at Bhayangkara Hospital in Batam it is expected to be able to deal with existing problems, namely obtaining ease of registering so that it does not waste time, efficiently, and effectively.
Sentirse parte de la humanidad, más que de cualquier comunidad local, nos hace más solidarios en tiempos de pandemia

espanolToca, si queremos una nueva normalidad antes y mejor, identificar y potenciar en la escuela, en campanas, etc. aquellos rasgos que puedan hacer mas solidario, empatico, responsable… al ser humano. Las redes sociales pueden potenciar el sentimiento de pertenencia a la humanidad, que es uno de esos rasgos. EnglishWe must, if we want to reach the new normal in a better way, identify and promote at school, in campaigns, etc. those traits that can make the human being more supportive, empathetic, responsible. Social networks can enhance the feeling of belonging to humanity, which is one of those traits.
Persepsi pemustaka terhadap layanan perpustakaan “Rumah Ilmu” Universitas Negeri Semarang

Introduction. Universitas Negeri Semarang (UNNES) Main Library is committed to providing excellent services. One of the activities is to understand the users’ needs. This paper investigates the users’ perceptions of UNNES Main Library services. The objectives of the study include; (1) determining users’ perception on library services quality, (2) Examining satisfaction level of library services, (3) Measuring users’satisfaction level based on Service Satisfaction Index.&#x0D; Data Collection Methods. The paper used a quantitative methods approach with questionnaires, involving 203 library users, selected randomly. &#x0D; Data Analysis. The data were descriptively analysed by using an online survey tool (SurveyGizmo.com). &#x0D; Results and Discussion. The results report; (1) Users were satisfied with library services quality, but less satisfied with book collections; (2) Satisfaction level of library services was satisfactory; (3) Average score of customer satisfaction was 2.89, within the interval scale of 2.52 to 3.27.&#x0D; Conclusions. Based on the findings concluded that user’s perceptions of UNNES library services were satisfied and furthermore, the UNNES library will continue to improve the quality of services until it achieves very satisfying results.
Seriation: Graves in the Münsingen-Rain burial site

Main topics. The burial site of Münsingen-Rain is situated on a ridge and contains a large number of graves, many of which contain artefacts. The graves have been dated by their distance from the village by Hodson. Is it also possible to statistically validate this dating from the artefacts in the graves? Data. An occurrence table of graves by artefacts consisting of ones (artefact present in the grave) and zeroes (artefact absent from the grave). Research questions. Is it possible to validate the archeological chronology of the graves by applying statistical procedures on the table of occurrences? Statistical techniques. Correspondence analysis, validation results.
Implementation Of Ct-Scan And Mri (Magnetic Resonance Imaging) For Medical Record Data

image processing is any form of signal processing where the input is an image such as a photo or video frame. Image acquisition or that produces an input image in the first place is called imaging. This process has the characteristics of input data and output information in the form of images. The term digital image processing is generally defined as two-dimensional image processing by computer. In a broader definition, digital image processing also includes all two-dimensional data. A digital image is a series of real or complex numbers represented by certain bits. In the field of modern medical science, a doctor is able to analyze a patient's disease through a visual image of the results of an internal disease or more modern a doctor can use the CT-SCAN reading technique ( Computed Tomography) which is able to draw visually as well as more modern MRI techniques displaying data in 3 dimensions so that it is more accurate.
Penggunaan Event-Source Pada Pengiriman Notifikasi Donasi Siaran Langsung

An internet live stream usually considered as a source of popularity and money. Some internet personality, sometimes also known as streamer, uses live streaming platforms to meet their daily needs. They depend onto donations from viewers and ads revenue or sponsorships. Streamer in Indonesia usually uses their own bank account number as a means of receiving donations. As a mean of thanking the viewers who donate, the streamer usually shows the sender name and amount of donation received in their stream description. Here, the writer wants to create a system that use browser source feature to be used in Open Broadcaster Software to show donation alerts on streamer’s live stream. A system that only uses Indonesian Rupiah to make streamers easier to withdraw the donations received compared to another means such as via Paypal where streamer need to exchange Unites States Dollar (USD) to Rupiah. Sending out donation data in a timely manner is an important point for the information to be used in broadcaster’s live stream. So a feature in a donation management system need to be able to send the donation notification data with a fast method such as event-source
Implementation of an Associative Memory using a Restricted Hopfield Network

A trainable analog restricted Hopfield Network is presented in this paper. It consists of two layers of nodes, visible and hidden nodes, connected by weighted directional paths forming a bipartite graph with no intralayer connection. An energy or Lyapunov function was derived to show that the proposed network will converge to stable states. The proposed network can be trained using either the modified SPSA or BPTT algorithms to ensure that all the weights are symmetric. Simulation results show that the presence of hidden nodes increases the network’s memory capacity. Using EXOR as an example, the network can be trained to be a dynamic classifier. Using A, U, T, S as training characters, the network was trained to be an associative memory. Simulation results show that the network can perform perfect re-creation of noisy images. Its recreation performance has higher noise tolerance than the standard Hopfield Network and the Restricted Boltzmann Machine. Simulation results also illustrate the importance of feedback iteration in implementing associative memory to re-create from noisy images.
Detection of the effects of thermal anomalies caused by large-scale atmospheric-oceanic signals on the bleaching events of the Persian Gulf coral reefs

Detection of the effects of thermal anomalies caused by large-scale atmospheric-oceanic signals on the bleaching events of the Persian Gulf coral reefs
PEMBUATAN APLIKASI E-TATIB BERBASIS ANDROID MENGGUNAKAN BAHASA PEMROGRAMAN DART: MAKING AN ANDROID-BASED E-TATIB APPLICATION USING THE DART PROGRAMMING LANGUAGE

An automatic application of discipline is needed in schools to achieve the school's vision and mission. The research method used in developing this application is the Waterfall method. The reason for using this method is because the Waterfall method has a sequential model, so that developers can start doing research until testing is more neat and structured. And this method can easily make improvements if the stage that is being worked on has an error gap. The design of the e-Tartib application itself is designed on an android mobile basis. The programming language used is the Dart language which is included in the Flutter SDK with the MySQL Database. The e-Tartib application is designed to minimize violations committed by students and can record student violations that are integrated and stored neatly. The expected results in this study are that later this e-Tartib application will enable students to understand and follow school rules or regulations so that teaching and learning activities will run optimally. This research was conducted at SMK Bina Citra Asia Jakarta.
결혼이민자를 위한 입국 전 한국어 능력 시험 개발 연구 : 세종학당 학습자를 중심으로

This study aims to raise the needs for assessment tools that reflect the characteristics of marriage immigrants and to design a proficiency-oriented achievement test that can be used in the King Sejong Institute, which disseminates Korean language and culture and one of the official Korean language center for Korean immigrant visa. To this end, the language assessment tools for immigrants were reviewed, and advisory opinions were converged from experts. Based on this, test structure and test task specification is completed and piolt tests were administrated at King Sejong Institute in Vietnam and Philippine to prove validity and usefulness of this test. As a result, it was designed with two levels: beginner 1A and beginner 1B, and the test areas were set to listening, reading, and speaking with five types of test items. Each item evenly distributed in upper, middle and lower difficulty. Speaking test items consist of a short answer type and a narrative type, and it was conducted in two performance tests during one semester.(Honam University·Korea University)
A Custom Video Retrieval System in Education: Student Perceptions

In this paper, student perceptions of using a custom video retrieval system as a tool to accomplish an academic task in education were investigated.The study begins by examining the interrelated themes which impact on students use of video in this way, including digital literacy, the learning value of video, and video retrieval systems.The study gathers students' perceptions of the tools available through the video retrieval system to source and share video content for their work.Findings indicate that the search functionality provided a sophisticated means for students to locate content relevant to their work, and that the social features enabled them to share and recommend content to members of their group.The paper also presents a series of conclusions and recommendations for future use of video retrieval systems in education.
WAB Learns: Covid-19 for Students: Online Sources

A guide with information about Covid-19 geared towards Middle School Students created with the assistance of the 19-29 MS Students Council Resources to help navigate the digital world, reputable sources, good podcasts and media
Satellite Image Super Resolution Based on Improved Deep Segmented Residual Neural Network

This study employs a deep segmented residual neural network model to analyze the super-resolution of a single satellite image. A deep convolutional neural network model was analyzed, and its performance was improved. First, a Mish activation function was applied to better avoid the death and loss of neurons, which can effectively improve the generalization of neural networks. Second, use two residual layers to divide the deep network into two groups, the sum of the two residuals is the total residual, which can minimize the residual loss function and enhance the network performance. Third, optimal the learning rate was also investigated to achieve convergence more efficiently, increase the speed of iteration, and improve the overall processing speed of the model. The experimental model achieved higher peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) than networks without the proposed improvements, when tested on satellite images. Considering these results, the application of this technology will be significant for further research on satellite images.
Articulating an Explanatory Schema: A Preliminary Model and Supporting Data

The schema repertoire model claims that an explanation is constructed by selecting and articulating a schema. Novice evolutionary explanations are analyzed to identify the relevant schemas and to demonstrate competition among schemas. An intervention study shows that a newly acquired schema does not necessarily win the competition against previously acquired schemas. The difference between schemas and beliefs is emphasized.
Monthly Variation of Relative Humidity and Its Response to Temperature in Zamfara State

This research paper investigates the monthly variability of relative humidity, and possible effect of temperature on the variability in Zamfara state North-west Nigeria. Ten years data (2005-2014) of measured monthly mean relative humidity and temperature obtained from NIMET was averaged to an annual scale data which was used in ploting graphs for studying the variations using Minitab software. It was observed that, relative humidity varies across the Months over the periods, with a positive quadratic trend from the month of March to August. The peak relative humidity was observed in the month of August and the minimum was in the month of February, but decreasing trend was observed in the corresponding temperature from April to August with the peak in April and lowest in August, this affirms that as temperature increases relative humidity decreases. For response of relative humidity to temperature, linear regression was carried out with the relative humidity as response while temperature as predictor and coefficient of determination R2 = 18.25% was determined, which showed a fair correlation between relative humidity and temperature.
Improved MSHA-1 algorithm with mixing method

Abstract—Recently, a Modified SHA-1 (MSHA-1) has been proposed and claimed to have better security performance over SHA-1. However, the study showed that MSHA-1 hashing time performance was slower. In this research, an improved version of MSHA-1 was analyzed using avalanche effect and hashing time as performance measure applying 160-bit output and the mixing method to improve the diffusion rate. The diffusion results showed the improvement in the avalanche effect of the improved MSHA-1 algorithm by 51.88%, which is higher than the 50% standard to be considered secured. MSHA-1 attained 50.53% avalanche effect while SHA1 achieved only 47.03% thereby showing that the improved MSHA-1 performed better security performance by having an improvement of 9.00% over the original SHA-1 and 3.00% over MSHA-1. The improvement was also tested using 500 random string for ten trials. The improved MSHA-1 has better hashing time performance as indicated by 31.03% improvement. Hash test program has been used to test the effectiveness of the algorithm by producing 1000 hashes from random input strings and showed zero (0) duplicate hashes.
교육서비스품질과 대학 졸업예정자의 고용가능성의 관계에서 진로효능감과 진로선택몰입의 이중매개효과 검증

The purpose of this study was to identify the dual mediating effects of career choice commitment and career efficacy on the relationship between education service quality and employability of senior students in university. For this purpose, a questionnaire survey was utilized for 300 students in Daejeon and analyzed data from 265 responses. And the structural equation model was analyzed to confirm correlation and dual mediating effect between variables. The following conclusions were obtained through this study. First, education service quality, employability, career choice commitment and career efficacy have a significant correlation. Second, education service quality have directly effected employability and indirectly effected employability through career choice commitment. Third, the dual mediating effects between education service quality, career choice commitment, career efficacy and employbility were analyzed. Thus, based on the results of this study, it discussed the systematic quality management on senior student’s educational achievement and sustainable employment. Finally, it suggested the direction of the future research that focuses on the verification of various variables based on personal and environmental characteristics of senior students in university.
LibGuides: Summer Reading Challenge for Adults 2021: Overview

Ask A Librarian is Westwood Public Library's digital resource and information branch, answering and redirecting any and all reference questions.
Assessment of Heavy Metal Contamination in Sediments of the Shitalakhya River, Bangladesh

Sediment samples collected from the river Shitalakhya, Bangladesh, were analyzed using atomic absorption spectroscopy (AAS) to investigate site-to-site (spatial) and seasonal (i.e., dry, premonsoon, post-monsoon) variation of Cr, Mn, Ni, Cu and Zn. The mean concentrations of Cr, Mn, Ni, Cu and Zn were 22.37 ± 6.09, 612.59 ± 160.08, 54.11 ± 11.21, 50.36 ± 9.40 and 103.62 ± 62.74 mg/kg in the dry, 31.58 ± 5.22, 569.71 ± 112.16, 58.35 ± 7.82, 49.93 ± 17.36 and 110.88 ± 95.83 mg/kg in the pre-monsoon and 18.09± 6.32, 567.02 ± 115.55, 50.89 ± 6.58, 39.75 ± 4.56 and 55.22 ± 11.33 mg/kg in the post-monsoon, respectively. Based on the metals’ concentrations, no considerable difference was observed among the three seasons, but the concentrations were slightly elevated in the dry and pre-monsoon compared to that in the post-monsoon with respect to site-to-site variation. Among the metals examined, concentrations of Ni and Cu were elevated because of the use of oxides of these heavy metals as catalysts in the ammonia plant. The following statistical indices i.e., Pearson correlation matrix, geo-accumulation index (Igeo), contamination factor (Cf), degree of contamination (Cd), pollution load index (PLI) and ecological risk potential (RI) factors were taken into account to assess the heavy metals contamination of the sediments. According to the values of the statistical indices for Cr, Mn, Ni, Cu and Zn, it is concluded that the study area was with low contamination while concentrations of Ni and Cu were higher than the Threshold Effect Level (TEL) and Toxicity Reference Value (TRV) values suggesting unsafe to use the sediments for vegetation and other uses.
Innovative Master’s program “Digital Pedagogy”

This work is devoted to the development of a new master’s program, created on the basis of a sociological study of stakeholders, including an innovative digital component. As a result of the sociological research, the main interests of stakeholders and the requirements for the competencies of teachers were identified. The stakeholders were the heads of educational organizations and students of pedagogical universities. A survey of 823 students of higher educational institutions and more than 200 principals of Russian schools was conducted through Google forms using open questions. Based on the received request, a pool of competencies was formed, which is necessary for a teacher in professional activity. As a result, the master’s program “Digital Pedagogy” was developed, which includes a digital component of each universal and general professional competence, as well as three professional competencies developed by the university for this program. The competence model of a graduate assumes that he / she has the skills to develop and use digital educational solutions, technologies for developing and implementing digital gaming practices, skills for using STEAM training, skills for creating and promoting online courses, and the use of virtual and augmented reality in the educational process. The graduate should be able to use digital tools for collective and project work, video conferencing tools, video processing programs, video hosting services, apply digital learning management systems and activity planning, digital tools for searching, storing, processing and presenting educational information in the educational process.