Reviewerly/exHarmony huggingface dataset:
Online Abuse, Chilling Effects, and Human Rights

Online harassment, cyberbullying, hate, and other forms of online abuse pose a significant threat to human rights in Canada. Now, the country is at a crossroads: it will face American pressure to adopt a broad immunity model similar to Section 230 of the Communications Decency Act or, at long last, take more robust action to address cyberharassment and other online abuse, beyond the piecemeal approach used today. Central to this regulatory debate are concerns and claims about “chilling effects”— that is, the idea that certain regulatory actions may “chill” or deter people from exercising their rights online and in other digital contexts. Such claims have long been raised to oppose measures addressing online abuse, particular speech chill. In this chapter, I argue that such chilling effect claims advanced to oppose measures taken to curb online harassment and abuse neglect other kinds of chilling effects—how such abuse chills the rights of victims. And, drawing on new empirical research on this point, I argue that such legal interventions—like cyberharassment laws—rather than having a chilling effect, can also have a salutary impact on the speech and engagement of victims whose voices have been typically marginalized. I will also discuss the important implications these findings have for Canadian law and policy.
E-Modul Fisika Berbasis Contextual Teaching and Learning Menggunakan Aplikasi Kvisoft Flipbook Maker Untuk Meningkatkan Literasi Sains Peserta Didik SMA/MA Kelas XI

This research is motivated by the low ability of scientific literacy of students. One of the causes of students 'low scientific literacy skills is the lack of teaching materials that can shape students' scientific literacy skills. The available teaching materials have limitations to illustrate the facts of the lessons learned in everyday life. The type of research used is research and development with the ADDIE design model (Analysis, Design, Development, Implementation, Evaluate). Based on research and analysis of CTL-based e-module data using Kvisoft Flipbook Maker on the ability of scientific literacy, namely: obtain an average value of 4 people validator 88% with a very valid category. practicality assessment of 2 physics educators was 79.33% with a practical category. Practical assessment of 15 students received an average value of 90.26% in the category of very practical, has an average value of 84.79% with a very practical category. Assessment of the effectiveness of scientific literacy of 15 students for e-learning modules in the questionnaire obtained an average value of 88.78% with a very effective category while the test questions on the kinetic theory of gas with 66.6% completeness and in the material thermodynamics with 64.8% completeness with an average value of 65.7%. So it can be concluded that e-module based on Contextual Teaching And Learning (CTL) using Kvisoft Flipbook Maker on the kinetic theory of gas and thermodynamics is very valid, practical and effective to improve science literacy in physics learning class XI MIPA 6 SMA N 15 Padang
Effectiveness of an Automated Error Checking and Feedback System to Improve Text Message Reporting for Disease Surveillance in Viet Nam

Purpose: Viet Nam currently relies on a manual paper-based system to track and monitor 28 major infectious diseases. This inefficient system takes 2 or more months to complete. Method: We designed and pilot tested the use of text messaging to report certain infectious disease symptoms in rural areas of northern Viet Nam. The project was divided into three 6-month phases carried out in two provinces. The current analysis focuses on the implementation of a two-way feedback system between Phases II and III, which aims at (1) evaluating whether this system improves efficiency by determining the number of correctly (vs. incorrectly) formatted text messages; (2) assessing this system's influence on accuracy by comparing text messages with their respective official paper-based documented forms; and (3) determining whether the amount of information required to report through text messages influences the efficiency and accuracy of the text messages. Results: Between Phases II and III, results revealed a significant improvement in correctly formatted texts in comparison to incorrectly formatted texts. As the number of fields required to report increased, the number of correctly formatted texts (efficiency) as well as the number of matched text messages (accuracy) decreased. Conclusion: Our research demonstrates that an automated error bidirectional feedback system can significantly improve both the efficiency and accuracy of a Short Message Service-based method for disease surveillance. Also, our data may suggest that two-way communication has better engaged health care staff to follow reporting protocols as well as to maintain accuracy from their clinic's own data.
Teaching Descriptive Text Using Pictures to Improve Students’ Reading Comprehension

The purpose of this research is to know whether the pictures in descriptive text can improve students’ reading comprehension or not at the Tenth Grade Students in SMA Negeri 1 Luwuk. The research design in this research was quasi-experimental using non-equivalent control group design. The Independent variable of this research was pictures and the dependent variable was students’ reading comprehension. The Population of this research all students of IPA in SMA Negeri 1 Luwuk of the Tenth Grade were about 216 students, each class consisted of 36 students and the sample of this research were X MIPA 1 and X MIPA 2. The instrument used of this research was test. This research has two classes, experimental class and was control class. The data were taken by giving pre-test and post-test both of classes. The data indicated that, there was a significant difference between students’ pre-test and post-test in the experimental class. The mean score of students’ pre-test of experimental class was (57.02) and the mean score of post-test was (77.97). In experimental class, mean score of post-test was higher than mean score of pre-test. The result of the calculation statistical hypothesis test showed tvalue was higher than ttable (6.618 1.667) where the formula of significance level df = 005. Therefore, it was concluded that there was a significance effect of using pictures to improve student’ reading comprehension in teaching descriptive text at the Tenth Grade of SMA Negeri 1 Luwuk.Keywords: Pictures; Students’ Reading Comprehension; Descriptive text.
A SURVEY ON METHODOLOGIES FOR INTENSIFYING THE SECURITY IN IOT ENVIRONMENT

The Internet of Things is deemed to be the next revolutionary step in the world. The Internet and Embedded system are at the core of this where everything is interconnected with each other and provides a completely new experience to the user. The IoT platform is emerging as a whole new wave of digital technologies that will provide a transformative experience in future having unimaginable smart applications, such as smarter cities, smart health, intelligent transportation, etc. Such a technology is a boon for the world but could be a curse if the security aspects are overlooked. Due to the high-spirited access and connection ease in the whole IOT environment, there are ascending risks and genesis of huge threats to the IoT environment. Security, as always, serves as akey factor for any upcoming technology to succeed, this paper supplies a review on IoT, its applications, IoT security, its challenges and some methods to provide security in the IoT environment. This paper furnishes some of the security requirements of IoT from the aspects of Data Integrity, Data Confidentiality, Secure Authentication and Authorization. Providing security by methods like cryptography, authentication control using machine learning, activity detection and Blockchain are specified as some measures for security in the IoT Environment. Eventually, diverse security challenges and concerns relating to privacy will be called attention to in this paper. Ultimately, this paper discusses future works towards a secure IoT Environment.
Practical Example: Object Tracking in Videos

The focus of this chapter is on two critical capabilities of computer vision: object detection and object tracking. In general and in the context of a set of images, object detection provides the ability to identify one or more objects in an image, and object tracking provides the ability to track a detected object across a set of images. In previous chapters, we explored the technical aspects of training deep learning models to detect objects. In this chapter, we will explore a simple example of putting that knowledge to practice in the context of videos.
PENGEMBANGAN MEDIA INTERAKTIF PADA MATA PELAJARAN KOMPUTER DAN JARINGAN DASAR DI SMKN 5 BATANGHARI

The purpose of this study was to develoved an Interactive Media on basic computers and networks Subjects and test whether the media can better improve the basic computers and networks. A four-D Research and Development (R &amp; D) study had been applied to develop and test the validity, practicality, and effectiveness of the Interactive Media inteaching basic computers and networks. The steps consisted of define; design; develop; and disseminate. The testing for content validity of the Interactive Media was found valid. Based on the teachers and the students response on the practicality, it was found that this media was found highly practical. Based on the learning outcomes the effectiveness of the media was found effective. Based on the data analysis, it was found that the Interactive Media can better improve the students' learning outcome on the basic computers and networks for Grade X at SMKN 5 Batanghari.
DESTINASI PARIWISATA DAN SARANA PUBLIK BERBASIS ANDROID MENGGUNAKAN METODE HAVERSINE PADA KABUPATEN MUSI BANYUASIN

Tourism and Public Facilities are valuable aspects for an area, Tourism in an area varies according to the potential that exists in the area. This can be seen from a variety of activities held, for example, the Government in the Musi Banyuasin district has often held various events such as the Muba Expo, Kupek Kuyung Election, Randik Festival and others. In this research, an application will be made that can introduce Musi Banyuasin Regency fundamentally. The introduction consists of tourism objects and public facilities in Musi Banyuasin Regency which consist of tourism data, public facilities, events and lodging or hotels. This application is created using the Java programming language by implementing the Haversine method to find the closest distance from a place and Google Maps to display a map of the location to get accurate results. This application is made on an Android-based mobile device so that it is easy to access anywhere and anytime as long as you have an internet connection.
End-to-end verifiable E-voting trial

On 2 May, 2019, during the UK local elections, an e-voting trial was conducted in Gateshead, using a touch-screen end-to-end verifiable e-voting system. This was the first trial of verifiable e-voting for polling station voting in the UK, and it presented a case study to envisage the future of e-voting.
LibGuides: Library Basics: Tutorials for the Online Student: Library Basics Tutorials

Tutorials to assist the online EIU student in navigating Booth Library resources and services
Perancangan Sistem Informasi Laporan Asset Berbasis Smartphone dengan Metode Waterfall

Developments in reporting assets at the National University have not been effective. Because the many assets that exist make it difficult for workers to recapitalize the asset report. Such as incoming and outgoing asset reports and asset status status. Therefore, the Smartphone-Based Asset Report Design Information System Designed with the Waterfall Method so that workers can report asset data using smartphones that are more efficient in terms of time and effort. Application trial results for reporting asset data, the application can display report results based on incoming assets, outgoing assets, and asset status accurately. In the search for asset data entered the system can display the results of reports based on transaction id, date of asset entered, and the name of the asset with an accurate level. Then to report the asset data out the system can display the results of the report based on the transaction id, exit, and the name of the asset accurately
High Capacity Reversible Data Hiding in Encrypted JPEG Images by Quadtree Compression and Prediction Error

The existing techniques of reversible data hiding in encrypted JPEG images vacates space for data hiding after encrypting the image. As the entropy of encrypted images is higher, there is a chance for information loss as well as the computational complexity of image reconstruction will be higher. The proposed method therefore finds space for data hiding before encrypting the image using the method of quadtree compression. The simplicity of quadtree data structure reduces computational complexity. The image is encrypted using RC4 encryption algorithm. The vacant spaces obtained after quadtree compression is used for data hiding with the help of a data hiding key. At the receiver side, data extraction and image recovery are made separable such that the data can be extracted without knowing the image contents. The original pixel restoration is done using prediction error method. The experimental results demonstrate that the proposed method is able to achieve better data hiding capacity and recovered image quality within an acceptable computational complexity range.
INDIVIDUALIZATION OF EDUCATION IN THE IRAQI EDUCATION SYSTEM

The article examines how the education of the Republic of Iraq is forced to address such a process of updating the pedagogical system as individualization of education. It describes its state until recent times as an authoritarian traditional system, which gave good results, being inscribed in the traditional social order. In the early 2000s, there was a social catastrophe - the war broke out, which led to the destruction of the educational infrastructure, the flight of the population, the exclusion of a significant number of students from attending schools. Naturally, this affected the results of training. Thus, in the system of primary vocational education, less than 40 % of students achieve positive results according to 2019. Another phenomenon that affected the stability of the traditional system was the change of the civilizational era, which affected many countries. We are talking about the advent of the information age - the rapid spread of digital devices and related information and communication technologies. The type of relationship between teacher and students is changing. The teacher is no longer the exclusive bearer of the content of instruction, the younger generation is more advanced in the possession of the new means of instruction that deliver them the content of instruction. It is required to introduce the student as an active subject of learning activities, to abandon his passive role. The idea of individualization of learning is beginning to penetrate the educational space of Iraq. The author refers to the Russian theory and practice of individualization pedagogy, in particular to the personality-oriented and activity-based approach in teaching in his research work on the development of an electronic course of Informatics for primary vocational education for the Republic of Iraq. He gives concrete steps in this direction and reports on the results.
Emotion based Facial Recognition

This paper tends to design an artificially intelligent system capable of emotion recognition through facial expressions of unknown people. The network in this paper consists of three convolutional layers each followed by max pooling and ReLU. The network is trained on FER2013 dataset and tested on RaFD dataset thus giving a wide range of training images to the network, so that it can overcome the basic problem of recognition of unknown faces. The pertinence of the final model is depicted in a live video application that can instantaneously return users emotions based on their facial posture. The accuracy obtained by this method was 68%, which is better than the previous state-of-the-arts methods. The results provide an important insight on the significance of using different datasets for training and validation. This paper mainly focuses on neural network based artificially intelligent systems capable of deriving the emotion of a person through pictures of his or her face. The primary research question being: "How can an artificial neural network, be used for interpreting the facial expression of a human?"
KOMBINASI MEDIAN WEIGHTED INFORMATION GAIN DENGAN K-NEAREST NEIGHBOR PADA DATASET LABEL MONTHS SOFTWARE EFFORT ESTIMATION

Software Effort Estimation is one of the oldest and most important problems faced in software project management.The k-Nearnest Neighbor (k-NN) algorithm shows accurate results for small data sets and is able to handle outlier data.However, the k-NN algorithm has the disadvantage that it cannot tolerate irrelevant features.The public software effort dataset with labels has several main types of problems that are most commonly encountered in datasets with monts labels, namely data outliers, missing values and irrelevant features.This study proposes a combination method of selection of Weighted Information Gain (WIG) features using median threshold criteria with the k-NN algorithm to solve irrelevant feature problems.The comparison results show that the smallest RMSE value in the Chinese dataset is 1936,004 using the Median-WIG k-NN method, the Desharnais dataset is 2690,469 using the Median-WIG k-NN method, the Kitchenham dataset is 1382,579 using the Median-WIG k-NN method.The results of the comparison of all tests revealed that the proposed method of Median Weigthed Information Gain with k-NN was proven to be able to improve the accuracy of the estimation as indicated by a significant decrease in RMSE values in the entire dataset.By using the proposed method by eliminating irrelevant features, it can increase the accuracy of the estimation as seen from the significant decrease in RMSE value.
A Traceability System Based on the Quick Searching Blockchain

With the improvement of the people's living quality.More and more people start to pay attention to the food tracing, but the ideal blockchain technology, as a solution to this problem, which have a low speed of searching and will occupy a large space of the storage, is unsuitable for the actual situation.Thus, in this paper, we mainly use and improve a method named Kademlia to make it to search the data rapidly.As for the data storage, we use the Simplified Payment Verification as the storage method.For this method, it is not necessary for most of the nodes to store a large amount of the data, nodes just need to verify that if the transaction data is stored in the block.In this way, we prevent the useless cost to the memory, and increase the efficiency of the searching at the same time.
Collection, Services, and Infrastructure available for access to Electronic Resources in the Guru Nanak Dev University Library, Amritsar: A Study

Today libraries are giving more emphasis on the collection of e-resources because of the accurate information.It offers numerous chances to present users that were not accessible to their antecedents.It encourages users with search, download, compactness, and numerous other features.In light of the multidimensional features of eresources, it is widely used by academics.It spares the space and conveyance issues of libraries.It additionally encourages users with search, download, movability, and numerous different highlights.The paper inspects the satisfaction level identified with the collection, services, and infrastructure accessible to e-resources in the library of Guru Nanak Dev University, Amritsar.The paper also features the accessibility of computers and the internet for access to e-resources on the campus. .
Adaptive Recommendation System for Health Screening based on Machine Learning

As the demand for health screening increases, there is a need for efficient design of screening items. We build machine learning models for health screening and recommend screening items to provide personalized health care service. When offline, a synthetic data set is generated based on guidelines and clinical results from institutions, and a machine learning model for each screening item is generated. When online, the recommendation server provides a recommendation list of screening items in real time using the customer's health condition and machine learning models. As a result of the performance analysis, the accuracy of the learning model was close to 100%, and server response time was less than 1 second to serve 1,000 users simultaneously. This paper provides an adaptive and automatic recommendation in response to changes in the new screening environment.
LibGuides: Bibliotherapy: Using Books for Therapy: Websites and Blogs

This guide is intended to introduce adult patrons to different resources on bibliotherapy, it's uses and effects.
Analysis of intrinsic determinants of women entrepreneurship success in Cameroon

Several studies have focused on the performance of women in entrepreneurship using the same measurement tools as those used to measure the performance of their male counterparts. However, many studies have shown the singularity of women's entrepreneurship, particularly with respect to the measurement of success. To bridge this gap, this paper aims to analyse the impact of factors specific to women entrepreneurs that determine their success in business. To achieve this objective, we used a sample of 142 women business owners, surveyed in three cities: Douala, Bafoussam and Yaounde. As estimation technique, we used a binary Logit model because of the dichotomous nature of the response to the question of whether a woman feels she has been successful or not. In order to reinforce the singular character of female entrepreneurship, we used two types of dependent variables: first, a so-called subjective variable, «Achieving flexibility between work and family lives» and an objective variable, «Annual income level». The results show that the model with «Achieving flexibility between work and family lives» as the dependent variable is better for predicting the success of women entrepreneurs than the model with «Annual income level» as the dependent variable. Moreover, these results show that globally; factors related to human capital are the key determinants of success for women entrepreneurs in Cameroon.
Crypt analyzing and Image Encryption Using WU’s Algorithm

In this modern world, images are widely used in different processes.Therefore, the security of image and data from unauthorized uses is important.Now, information security is becoming increasingly important in data storage and broadcasting.It is essential for securing image, either in transit or store on devices.However, some image encryption algorithms still have many security issues and can be easily attacked by attackers.This proposed system performs the cryptanalysis of a newly proposed color image encryption scheme using Wu's algorithms.For encryption scheme, usually uses a pseudo-random encryption key generated by an algorithm and which makes the image more secure.