Reviewerly/exHarmony huggingface dataset:
Privacy-Preserving Correlation Coefficient

Differential privacy is a confidentiality metric and quantitatively guarantees the confidentiality of individuals. A noise criterion, called sensitivity, must be calculated when constructing a probabilistic disturbance mechanism that satisfies differential privacy. Depending on the statistical process, the sensitivity may be very large or even impossible to compute. As a result, the usefulness of the constructed mechanism may be significantly low; it might even be impossible to directly construct it. In this paper, we first discuss situations in which sensitivity is difficult to calculate, and then propose a differential privacy with additional dummy data as a countermeasure. When the sensitivity in the conventional differential privacy is calculable, a mechanism that satisfies the proposed metric satisfies the conventional differential privacy at the same time, and it is possible to evaluate the relationship between the respective privacy parameters. Next, we derive sensitivity by focusing on correlation coefficients as a case study of a statistical process for which sensitivity is difficult to calculate, and propose a probabilistic disturbing mechanism that satisfies the proposed metric. Finally, we experimentally evaluate the effect of noise on the sensitivity of the proposed and direct methods. Experiments show that privacy-preserving correlation coefficients can be derived with less noise compared to using direct methods.
Multimodal-Based Learning Improves Students' Reading Ability in Perspective of Systemic Functional Linguistics

This study was encouraged by taking advantage of the low analytical literacy abilities of students in junior high schools. This research aims to analyze Multimodal-Based Learning in Improving Students' Reading Ability from a Systemic Functional Linguistic Perspective. This research was conducted using quantitative research, incredibly descriptive, and experimental research. Data is collected through comment sheets and ratings. The respondents in this study were 210 students and nine teachers in seven classes. The tools used to obtain learning statistics are (1) an assessment to measure the competence of junior high school students and (2) note sheets to obtain statistics on the results of looking at the learning system. The statistics have been processed using descriptive statistical judgments and inferential facts. Based on the research results, the analytical learning system in the classroom still does not meet the actual learning requirements. The second result is that the multimodality method has proven effective in analyzing the literacy talents of junior high school students from various backgrounds. Based on this, the multimodality learning method can be used to improve the analytical literacy talents of junior high school students in classes with various backgrounds.
Understanding Social Media Engagement in Response to Disaster Fundraising Attempts During Australian Bushfires

This article studies the impact of social media posts specific to a disaster incident – the Australian bushfires of 2019–2020. We analyse the social media content posted by the Australian Red Cross Organization’s Facebook page, and the user generated comments on their posts. We identify user sentiments in response to the natural disaster and towards the organization’s fundraising attempts. This study shall enable the stakeholders to understand how the general public reacts to fundraising protocols at the times of unforeseen disasters. It shall also allow policymakers to design sustainable goals to promote healthy donation behaviour through social media platforms. Further, we also analyse how benchmark Natural Language Processing tools, namely, VADER, Afinn, and TextBlob, perform in an unsupervised scenario to perform sentiment classification. Overall VADER results were best among the other algorithms Afinn and TextBlob in the term of accuracy, precision, recall and f1 score performance measure.
Hardware Primitives-Based Accelerator Architecture for NTRU-HRSS Scheme

This paper presents primitives-based accelerator for NTRU-HRSS701 encryption and decryption scheme. The basic primitives to construct the NTRU scheme are polynomial multiplication, polynomial lift operation, modulo converters, and random bit stream generator for random polynomials. We propose pipelined polynomial multipliers implemented using conventional method and generalized Karatsuba algorithm. The polynomial lift operation suitable for NTRU-HRSS701 is also implemented in hardware. The polynomial multiplier, poly-lift, modulo converters, and the NTRU accelerator have been implemented in RTL, synthesized for the Xilinx Virtex UltraScale FPGA, and the results are compared with existing works. The NTRU accelerator with conventional polynomial multiplier is found to be more efficient than other existing architectures which are either based on shift registers or number theoretic transform. Moreover, these realizations are for lower polynomial degree ‘N’. Further, it has been observed that the conventional approach is better than the generalized Karatsuba-based polynomial multiplier due to the large value of ‘N’ (N = 701) for NTRU-HRSS and such a large value of ‘N’ introduces more additions. Karatsuba algorithm reduces the number of multiplications and increases additions. This primitive-based architecture will further enable NTRU key generation, encapsulation, and de-capsulation in hardware.
Kinect-Enabled Electronic Game for Developing Cognitive and Gross Motor Skills in 4-5-Year-Old Children

This paper presents the results of a Kinect enabled electronic game implemented for stimulating the development of cognitive and gross motor skills in 4–5-year-old children. The game consists of catching as many moving objects as possible within a virtual environment using all different parts of the body (torso, head, legs, and arms). A study was carried out with the participation of children of an Ambato school, in the Tungurahua province. After four attempts of using the game, the children participating in the experiment showed satisfactory results. Concerning the actions related to gross motor skills, an increase of 70% on the success level was attained while the cognitive skills showed a 35% increase on the level of success. These positive results corroborate that the proposed study is an efficient tool for improving the cognitive and gross motor skills in 4–5-year-old children.
Hand Gesture-Based Recognition System for Human–Computer Interaction

Gesture recognition systems reflect the user’s expressions in the real world, visually interpreting and incorporating them as a human–computer interaction channel. Recently, the demand for interaction by gesture has increased manifold and may ultimately replace the concept of mouse and keyboard, possibly soon. This has led to increased research in the area concerned with computer vision-based interpretation of hand gestures. The present work aims to develop a system that recognizes a few hand gestures and produces commands for human–computer interaction. The project execution route followed is image processing and extraction techniques.
Analysis of the Current Situation and Perceptions on the In-service Training of Elementary and Secondary Teachers

Objectives The purpose of this study is to obtain the information needed to improve In-service training by analyzing the current situation and perception of In-service training for elementary and secondary teachers.&#x0D; Methods For this purpose, a survey was conducted asking 1,302 elementary and middle school teachers in the Chungbuk area about the current situation and perception of In-service training. In order to analyze these survey results, crosstabulation and F/t tests were conducted using the spss statistical program.&#x0D; Results The results of the current situation of In-service training are as follows. 86.4% of elementary and middle school teachers completed more than 60 hours of training. The motivation for participating in the training was to improve teaching, classroom management, and guidance skills the most. Self-management and responding to changes in the times were the most frequently participated training subjects. Regarding training effectiveness, 71.2% of teachers responded positively. The result of the demand for In-service training is as follows. Elementary and secondary school teachers responded the most with 30 hours or more and less than 60 hours as the recommended training time. Weekday afternoons and vacations were selected as effective training times. As for the training topics that should be emphasized in the future, character education was the most frequently answered. As for the training method, mixed training was the most preferred, and the ratio of remote training was higher in mixed training. The degree of agreement on the improvement method of In-service training is as follows. Teachers agree on the improvement method as a whole.&#x0D; Conclusions Based on the analysis of the current situation and perception of In-service training, the conclusions are as follows. First, research that analyzes the actual situation and perception of In-service training should be continuously conducted. Second, it is necessary to explore ways to expand the participation of low-career teachers in training. Third, training programs should be planned and operated by reflecting various demands according to the school level and teaching experience.
The Characteristics of Calligraphic Script of Published Hangeul Documents in the 18th Century of the Joseon Dynasty and their Significance in Calligraphy History

The subject of this study is the published Hangeul documents in the 18th century of the late Joseon Dynasty. Its purpose is to trace and inspect the process of change of Hangeul scripts in documents, reveal its aesthetic characteristics, and examine the value that can affect the creation of Hangeul calligraphy and modern Korean life. Among the Hangeul documents published by government offices and the private sector in the 18th century, I selected 60 types of Hangeul documents with excellent calligraphic scripts, high readability, and clear bibliographical information and studied them.&#x0D; The scripts of the published Hangeul documents in the 18th century are flexible in strokes and shapes and appear in various ways depending on the printing method, such as woodblock, wooden type, and metal type. In particular, Oryunhaengsildo(1797), which was printed in an organized wooden type, shows the settled appearance of Hangeul characters in the 18th century in terms of the balance and stability of calligraphic scripts. On the other hand, in terms of content, the published Hangeul documents in the 18th century reflect the trends and demands of the times in various ways, such as Yuneum Eonhae(the king’s word with Hangeul annotation), edification books, and foreign language learning books. The characteristics of the published Hangeul documents during this period and their significance in calligraphy history are as follows.&#x0D; 1. In the early 18th century, Hangeul literature for edifying people was mainly published. In the later period, Hangeul literature on history, foreign languages, literature, and medicine reflecting changes throughout society, politics, and economy was published, and there was much of Hangeul literature related to foreign language education, such as Qing, Mongolian, Wae(Japanese), and Manchurian.&#x0D; 2. The Hangeul documents in the 18th century printed by the king’s order mainly used Musinja(metal type cast in 1668). The appearance of the characters is long and rigid, but the woodblock print of the central government edition led by the state is close to the elegant handwriting. In the latter years, it begins to change into the manuscript form of court-style calligraphic scripts.&#x0D; 3. Books on military science were published in the local government offices, and most medical books were published by the central government.&#x0D; 4. I could find the characteristics of calligraphy history that the Dodum style(block print style of calligraphy) in the early days of Hangeul creation changed and settled down as the Batang style(manuscript style of calligraphy).
Digital Twins: Forecasting and Formation of Optimal Control Programs for NPP Power Units

Industries, especially in the energy sector, are using digital twins to improve work efficiency and optimize operating modes. Digital twins have based on models that accurately describe the geometry, physical properties, behavior, and rules that characterize an object. The article presents an example of functional decentralization of digital twin models as a decomposition of an NPP power unit (PU) with a VVER-1000 reactor as a control object into a set of technological subsystems of functional groups. Approaches to the digital twins’ creation of NPP PU and the main directions for using digital twins based on dynamic models of a PU in advanced control systems for NPP power units are presented. Within the framework of the intelligent operator support system, a "three-stage" approach to the problem of forecasting the state of the NPP PU, based on digital twins, and the principles of forming the PU optimal control are proposed. The proposed approaches to creating digital twins are used to create intelligent support systems for operators.
Klasifikasi insiden pada aplikasi ServiceNow untuk menentukan keberhasilan Service Level Agreement

The failure to achieve Service Level Agreement (SLA) has a negative impact on the satisfaction of the service that was promised. The SLA report that does not reach the target can have an impact on the promised service being not in accordance with what is paid by the business. On the other side, the service provider will have a bad reputation as a service provider company, and can even be fined for this. This study analyzed incidents using the CRISP-DM methodology and classification techniques with the Naive Bayes (NB), Logistic Regression (LR) and Support Vector Machine (SVM) algorithms which are most widely used in previous studies to predict SLA failures based on a review of studies. With help of the machine learning applications to do the data mining process, it is obtained that the SVM algorithm has the highest accuracy with a value of 75.05%, compared to LR 74.79% and NB 74.48%. The prediction prototypes are made with a programming language by adding incidents dataset, performing data reduction to balance data on target attribute, transforming data, and split training and testing dataset. This processes increasing the level of accuracy on the prototype to 83.32%.
Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq.

The prevalence of breast cancer (BC) has increased significantly in the last 50 years worldwide. This increase may be because more women today have mammograms and, as a result, are more known to have cancers. At the same time, the theory is growing that many other factors contribute to the increase in cancer rates. The current study tried applying the Gail assessment model to identify hormonal and familial risk factors that may be important for BC in Iraq. Patients aged 30 years and over with all known risk factors for BC were selected for the study group. The selected patients were divided into two groups. Group 1: Patients diagnosed with non-proliferative lesions who have had a breast biopsy performed at least three years before; Group 2: Controlled patients. The individual risk of BC for patients in groups 1 and 2 was calculated using the Gale model. In addition to groups 1 and 2, we identified two other groups. Group 3: Groups 1 and 2 of patients without BC at the end of the 3-year follow-up period; Group 4: Patients who have undergone BC surgery. Multiple regression tests assessed all known risk factors in groups 3 and 4 to determine the risk factors for the development of BC in Iraq. The results show that Gail's assessment model is a reliable example of calculating the risk of developing BC. The model results show that the significant risk factor for BC in Iraq is not hormonal but genetic or familial. Current research also shows that the risk of developing BC increases significantly with age. It was concluded that there are genetic factors, and the risk of developing BC increases with age, but hormonal features do not cause a significant increase in risk. Identifying risk factors in causing disease in the community makes it possible to prepare codified plans to control and treat the disease.
Supplemental Material: Collapse of terrestrial ecosystems linked to heavy metal poisoning during the Toarcian oceanic anoxic event

&lt;p&gt;Description of the geological setting, analytical methods, supplemental information, figures, and raw data. &lt;/p&gt;
PENGARUH MEDIA PEMBELAJARAN e-LKPD BERBANTUAN LIVE WORKSHEETS TERHADAP HASIL BELAJAR PESERTA DIDIK

Student learning outcomes tend to be low because the media used has not been able to improve learning outcomes even though in the era of sophisticated technology teachers can use interesting media. So that the solution to this problem, teaching materials must be developed in an interesting way. Live worksheet which contains sheets containing assignments that must be done by students. One of them is technology-based media, namely e-LKPD by live worksheets. This study aims to determine the effect of e-LKPD learning media by live worksheets on student learning outcomes. This research method uses a quantitative approach to the type of Pre-Test and Post-Test. Data collection techniques in this study used a learning outcomes questionnaire. The population used in this study was class III at SDN Girirejo and sample used in this study totaled 28 students. Data analysis using one-sample t-test. Based on the results of the Validity Test, the results showed that r = 0.396&gt; α (0.05) so that all item items showed valid results. Reliability test if the value of α &gt; 0.769 the value is reliable, namely 0.769. The results of the normality test for the value of learning outcomes are 0.185 &gt; α (0.05), then the variable values are normally distributed, followed by using the one-sample t-test, the results of the t-test results are learning outcomes on the t-statistic value of 7,850&gt; α (0.05) then reject H0. So it can be concluded that there is an influence of e-LKPD learning media assisted by live worksheets on student. Keywords: Count numbers, e-LKPD live worksheet, learning outcomes
Ten years Center for Immersive Visualizations - Past, Present, and Future

Virtual Reality (VR) can be found in many fields. A majority of the time this involves the use of Head-Mounted Displays (HMDs). Their alternatives, large-scale immersive 3D screens and CAVE systems, can also be found in research and offer researchers high visual quality and collaborative VR experiences. This report covers the operation and learnings from maintaining a visualization center with large-scale immersive installations over the course of ten years.
Case study: Strategy Business Administration Interactive XR Learning

Adopting novel approaches in business administration teachings is difficult as conventions are based on case study readings. We evaluated the use of immersive virtual reality (VR) case studies for business administration strategy studies. The use of VR case studies was well received by the students and improved their understanding. This approach can revolutionize business administration teachings and serve as a model for other fields looking to incorporate innovative education methods.
Real-Time Augmented Reality Visual-Captions for Deaf and Hard-of-Hearing Children in Classrooms

Deaf and hard-of-hearing (DHH) children experience difficulties in mainstream classrooms since they cannot access audio information effectively. Although tools like captions are developed specifically to assist DHH individuals, primary school children have trouble to read or understand the text. To address this challenge, this paper develops an AR-based visual-captions, which will transfer the speech to text and images in real-time and display the information around the teacher in classrooms. The AR visual-captions aims to help DHH children better receive information and enhance their classroom experience. We describe the concept, design and implementation of our prototype, and discuss future research directions.
Image Restoration for Blurred License Plates Extracted from Traffic Video Surveillance using Lucy Richardson Algorithm

Vehicle related accidents happens at urban areas, this includes, national roads, municipal roads, provincial roads and crowded boulevard streets and most of the captured vehicle license plate by the CCTV that is involve in a hit and run incident was blurred and not clear enough to identify and trace the perpetrators. Several studies have presented to restore a blurred image by performing different deconvolution techniques. Most of this researches focuses only on removing the blur effect on a non-moving object and mostly in a situation where there is an enough light in the surrounding and the blur parameter was either added or setup intentionally or user-defined. In this paper, the study aims to restore a blurred image specifically on a license plate of a moving test vehicle using Lucy-Richardson Algorithm from a real video footage of a surveillance camera subjected in different light condition. In addition to that, the vehicle will also be subjected to different speeds to know its effect on its restoration. The study will significantly test whether the deconvolution algorithm can restore a real motion blurred license plate image exposed at different lighting conditions test in different car speeds.
A Development of an autonomous Unmanned Aerial Vehicle (UAV) that can locate and map people in flooded areas using image processing and GPS technology

This study aims to equip an unmanned aerial vehicle (UAV), also called drone, with an onboard microcomputer that can perform autonomous surveying with image processing for human detection and quantification, Global Positioning System (GPS) technology for location tagging of detected people, as well as LiDAR sensors for obstacle detection to be used for obstacle avoidance to achieve an enhanced autonomous flight. A user interface for the system will also be developed to display the data being gathered by the drone, namely the detected people and their location, as well as monitor what the drone sees when in flight. This will be used to aid search and rescue operations in flooded areas and aims to speed up the victim search process. The study includes the development of the drone, the human detection and quantification model, the obstacle detection and avoidance algorithm, and the data display on a ground station’s Graphical User Interface (GUI).
Recognition for Radar Emitter Signals Based on Bispectral Feature Fusion

Radar radiator signal recognition is a key component of electronic reconnaissance system. In order to improve the accuracy of the signal recognition of low probability of interception(LPI) under the condition of low signal-to-noise ratio, this paper proposes an algorithm for feature extraction and recognition in the high-order spectral transform domain. This method overcomes the shortcomings of previous recognition algorithms that rely heavily on experience and cannot adapt to waveform changes. First, the bispectral transformation is used to form a three-dimensional physical representation of the radar signal. Then the bispectral diagonal slice of the radiation source signal is extracted. On this basis, Robust Principle Component Analysis (RPCA) is used to reduce the dimensionality of features. RPCA not only reduces redundancy but also reduces noise. Finally, LSSVM is used to analyze the feature vector to realize signal classification and recognition.
Project management in technical services: practical tips and case studies

"Project management in technical services: practical tips and case studies." Journal of the Australian Library and Information Association, 72(2), pp. 215–216