Reviewerly/exHarmony huggingface dataset:
An Analysis of Hate Speech Tweets Against Women from a Socio-cognitive Discourse Perspective

The current study conducts a qualitative analysis of tweets based on hate speech directed at women in the Pakistani context using Van Dijk's Socio-cognitive approach (2016). The research's objective is to ascertain how cognition, social conditions, and discourse contribute to the establishment of a system that discriminates against women. The research employs Dijk's (2016) socio-cognitive approach to investigate the language of tweets. Using Twitter, ten tweets are collected as examples of hate speech. These tweets are from some of Pakistan's most powerful female journalists, politicians, and actresses. The research begins by examining the discursive structures that discriminate against women and then examines how cognitive structures shape this discourse. Finally, the discourse's social function is established. The analysis of tweets reveals that discourse is shaped by the tweeters' individual mental models and social cognition. Additionally, it was determined that sexist ideology is embedded in tweeters' mental models and socio-culturally shared knowledge, in which women are negatively represented. According to that they are viewed as objects of physical pleasure and are evaluated negatively based on their appearance rather than their ability, talent, hard work, or intelligence. Such an ideology breeds derogatory and discriminatory tweets, eventually resulting in a male-dominated society. Male-dominated society, sexist ideology, and sexist speech combine to create a system that discriminates against women.
Conclusions

The chapter argues that finding a universal normative framework for the right to protection from incitement to hatred is by no means straightforward. It does not appear possible to secure broad agreement on an approach that moves beyond the current level of abstraction by adding specificity to the content and effects of proscribed advocacy of hatred. Not only have the five internal features of the right significantly influenced its problematic journey within IHRL; they also appear to preclude the progressive normative development of IHRL in the area of incitement to hatred as a response to contemporary problems in hate speech regulation. The chapter argues that in order for the international community to overcome such paralysis, efforts to further develop the international norm prohibiting incitement to hatred shall be directed towards approaches that place more emphasis on procedural development than legal or textual development. This approach would not answer the difficult question of what the precise legal threshold of Article 20(2) is; rather, it would address how to determine such threshold within different national contexts.
A GCM Neural Network with Piecewise Logistic Chaotic Map

In order to explore dynamic mechanisms and chaos control of globally coupled map (GCM) chaotic neural networks, a new GCM model, called the PL-GCM model is proposed, of which a piecewise logistic chaotic map is used instead of a logistic map. As a result of the strong chaotic features of the map, the neurons’ period and chaotic characteristics over a wide range of parameters are discussed, the dynamic mechanism is demonstrated in detail, and the numerical simulations such as state evolution, the largest Lyapunov exponent (LLE), contour map, and so on are exhibited. Furthermore, chaos control of the proposed PL-GCM model is investigated by adopting two chaos control methods. It is shown that the network with conventional coupling or delay coupling can be precisely controlled to any specified periodic orbit by feedback control, and its dynamic associative memory is realized by the variable threshold parameter control method with external information. The results of simulations and experiments suggest that the network is controlled successfully and can output period patterns with a specified period that contains the stored pattern closest to the initial pattern. All features suggest that the network is fit for pattern recognition and information processing.
Streaming 2D-Endoscopic Video into an Augmented Reality Headset Display: A Feasibility Study

Objective: Augmented reality (AR) applications in neurosurgery have rapidly grown over the last 6 years with most efforts concentrated in surgical guidance. To date, there have been no studies in streaming video feeds in the operating room (OR) to an AR heads-up display, such as that from the endoscope used in endonasal approaches. The primary objective of this study was to determine if endoscopic footage could be streamed into an AR heads-up display with minimal latency to allow for use in the operating room. A secondary objective was to assess hologram coloration and resolution.
Vision Based Daily Activity Monitoring in Indoor Environment

Human Activity Recognition aims to recognize activities from a series of observations on the actions of subjects’ and environmental conditions. The vision based daily activity recognition research is the basis of many applications including video surveillance, health-care and human-computer interaction. Here, in this paper the idea of activity recognition-classification using LSTM network is presented.
Mobile Application Development using Flutter SDK: Development of a News Mobile Application using Flutter and NEWS API

The rate of growth of technology and the interactions of people made from far distance is at its maximum peak in the entire timeline of human history. These times therefore require an individual with accurate and legitimate updated knowledge of the incidents occurring to his immediate surroundings as well as of the entire globe. Owning devices such as smart phones, smart watches, tablets and other portable electronics of such kind is very common practice and the number of users is increasing day by day. NEWS was delivered through the means of messengers in medieval times, printing press in the 15th century. NEWS through television was convenient source of live information delivery which was popularized in 19th and 20th century. We have reached the epitome of fastest NEWS or information delivery system. This system however has a drawback in which the individual has to be in front of a television with a setup box and a bunch of wired cable which makes it a bit more tedious to get updated with information regularly. Hence, this can be improved by using the technology of applications on smart phones. The app will contain regular updates on topics which will be communicated by NEWS API. The API will get its information through various NEWS broadcasters available around the globe like BBC, CNN, Guardian, NDTV. This will greatly improve the speed of information reaching the average person. In comparison to the native apps, the average user of our app will be able to run it smoothly on their devices because of the minimalistic design while getting access to significant and latest NEWS. This feature not only drives the user to an information-centric source for day-to-day updates but can also keep the unwanted clutter away from the user experience. NEWS app allows us to explore the various types of integration available between foreign API’s and android application which transits to a unique experience for every user. It also provides us with an opportunity to learn the integration of the android application with Google's Firebase through which we would work and learn to manage and view the application’s analytics, explore push messaging services and much more features such as database management for android application.
Acknowledgement to Reviewers of Cryptography in 2019

The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...]
Factors Affecting Employees’ Turn over in the Hotel Industry a Case of Bahir Dar City

Employee turnover is that the major problems for business employing staff and it are not uncommon in hotel industry. Human Resources Management contains a vital role to play in managing the organization resources and the way employees are treated within the organization. Employees are a crucial asset to each company, business and organization. Because, the success of every company or business is entirely dependent on the effectiveness of its workforce. The first objective of this study is determining factors which influencing employee’s turnover in hotel industry. To attain this objective the researcher collects data from respondents through structured questionnaire. The survey prepared in 5 point likert type. Structural equation model was employed for data analysis and Amos graphics taken as statistical tools. Finally the researcher reach the finding of salary and related benefit, working environment and management practices are responsible factors for employee’s turnover in Bahir Dar hotel industry. Keywords: Employee turnover, structural equation model, Amos graphics DOI: 10.7176/RJFA/13-3-02 Publication date: February 28 th 2022
Development of Android Applications as an Operating System Media for Learning Electronic Control Competencies in ClassXI students SMKN 2 Pengasih

At this time the learning process by teachers rarely uses technology and learning media. Students have difficulty using learning media. The limitation of tools is an obstacle in accessing learning media. This research is a type of development research. The product development model adopts a software development model consisting of (1) software requirements analysis, (2) design, (3) code writing and (4) testing. Data collection techniques were carried out by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on first users (teachers) and testing on end users (students). The data analysis technique used is descriptive analysis technique. The results of this study are: (1) the android application model for appropriate learning media on the competence of operating the electronic control system includes preparation, the subject matter of the operation of the electronic control system, and the evaluation model of choice questions; (2) test the functionality of the android application for appropriate learning media on the competence of operating an electronic control system including ease of navigation, application performance and ease of operation; (3) the feasibility of the android application for appropriate learning media on the competence of operating the electronic control system, based on the performance of the application it can run well. Based on the converted average assessment with a score range of 0-100, the score from media experts was obtained with a score of 83.33 in the "very feasible" category, the assessment by material experts with a score of 71.
A Preliminary Study on Edge Computing

Edge computing is a distributed computing architecture in which the operations of applications, data and services move from the central node to logical edge nodes of the network.This paper first summarizes the development history of edge computing and the evolution process from content delivery network to cloud computing, fog computing and edge computing, and analyzes the related achievements in various industries; then introduces two popular edge computing frameworks; and finally proposes an assumption of information system architecture based on edge computing, and discusses the problems and challenges that edge computing will solve and face in modern meteorological service.
The Future of Cloud Data

The last several years have seen the creation of hundreds of billions of dollars in market value ? including the largest software IPO of all time ? centered around one technology category: cloud data. While cloud data is not new, the rate of adoption across almost every industry and the associated pace of development around all aspects of cloud data (from pipelines to extract-load-transform (ELT) tools to storage and analytics) are unprecedented. In this talk, I'll present a research-oriented perspective on the future of cloud data that combines my experiences as an academic at Stanford and as a startup founder and CEO at Sisu Data. My goal is to provide an overview of the seismic changes in the cloud data landscape that--in my opinion--have yet to receive sufficient attention from research, and to highlight several tantalizing research opportunities in systems and databases that result.
Image restoration algorithm based on multiscale weighted Schatten p-norm minimization

Image restoration is the process of restoring an image from a degraded version, which is usually blurred and noisy. We are motivated by the problem of restoring blurred and noisy images using multiscale weighted Schatten p-norm minimization, which not only gives a better approximation to the original low-rank hypothesis but also considers the importance of different rank components. Similar patches are vectorized and grouped to construct a noisy low-rank matrix. Weighted Schatten p-norm minimization values of all image patch groups are simultaneously penalized by a new regularization term, which can represent both the sparsity and self-similarity of the image structure accurately. In addition, by calculating the similarity of patches on different scales of the image, the restoration effect of the image is further improved. The experimental results show that our method is superior to some existing excellent algorithms in both numerical and visual effects.
Unsupervised Learning

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PERANCANGAN SISTEM INFORMASI PENJADWALAN MATA KULIAH DENGAN METODE SDLC (CYSTEM DEVELOPMENT LIFE CYCLE)

From the student aspect, it is necessary to pay attention to the presence or absence of other lectures in the courses taken by students, apart from being seen from the student aspect, it is also necessary to look at the lecturer's aspect, namely the possibility that the lecturer concerned also cannot teach properly because he is on duty or are studying at a further level or because they already have a teaching schedule in other majors, in order to produce good components in the context of preparing the schedule, the academic side must make some correlations between the components concerned so that there are no cases of schedule collisions or clashes. Based on the problems above, at least there are several methods that can be used to simplify the scheduling process, including the SDLC method. SDLC is indeed not the best method of solving various problems, but for cases like SDLC scheduling it is one of the best because this method quickly finds the minimum solution while still analyzing. In general, lecture scheduling using the SDLC method ideally will consider several things, namely the time of implementation, such as being carried out from Monday to Friday or Saturday, from 07.00 to 18.00, teaching staff such as the availability of suitable and willing teaching staff to be scheduled at any time and anywhere, the study room must also be adjusted to the number of students, the more students the need for room availability will also increase.
Teaching in the Digital Galaxy: Study of Spanish Non-University Faculty According to the Common Framework for Teaching Digital Competence

New advances in technologies make up one of the main premises of the 21st century.Studies carried out highlight the importance of making good use of this type of technology to obtain positive results in its application.In the educational field, the need to possess skills that guarantee correct and effective use is emphasized.Due to these demands, the present work was born: the study of teaching competence, according to the Spanish Common Framework of Reference for Teaching Digital Competence, to solve the existing problems among teachers of different educational stages within the competence area of innovation and use of the digital technology.In it, the knowledge and use of these digital resources are shown, as well as the online teacher training and the innovation projects carried out.For this, a descriptive study was carried out on 233 non-university faculty submitted to a selfassessment questionnaire.The results show that the majority has a basic-intermediate level in the knowledge and use of classical technological resources and spaces.It is relevant as these present certain difficulties in more complex tasks.Due to this, it is proposed to start different lines of research, according to the training needs in Information and Communication Technology (ICT).
The Application of Group Work in Classroom Interactions of Teaching Reading Comprehension of Students

This study deals with the application of Group Work in teaching English. The underlying objective of the study is to see whether teaching reading by using Group Work has significant difference from the students who do not apply it. In carrying out this study, the writer took 40 students of the first year of SMP Negeri 6 Binjai from two classes as the sample of her study. They were divided into two groups. The first group is experimental group was taught by using group work in reading comprehension, while the second group is controlled group, the reading text was taught without group work. The instrument used were teacher made test based on the materials that had been taught. These test used were administrated to find out the reliability, the computation showed that the reliability of the test was 1,5. After the treatment, a post-test was applied. The results of the study shows that teaching reading comprehension by using group work is more significant than of without group work.
Broadband radio-frequency signal processing with neuromorphic photonics

Microwave photonics and neuromorphic photonics are two parallel research areas which have simultaneously emerged at the forefront of next generation processors. These fields, while initially independent, are naturally converging to a combined silicon photonic platform. An optical processing approach yields wide bandwidth, low latency, and dense interconnection. These photonic systems are capable of supporting applications previously unfeasible. Systems such as photonic cancellers, photonic blind source separation, photonic recurrent neural networks for RF fingerprinting, and photonic neural networks for nonlinear dispersion compensation. This paper will focus on the convergence of microwave photonics and neuromorphic photonics towards an RF optimized machine learning solution. Additionally, this paper investigated the RF noise performance of neuromorphic photonic front-end. The results indicated poor RF performances, leading to the proposal of a balanced linear front-end for noise figure reduction.
The Importance of Information Technology in the Activity and Professional Development of Teachers

The use of information technology in the activity and professional development by the teachers represents an extinguished necessity of the current stage. The new technologies come to the aid of the teacher, in the exercise of his profession. Using them makes the teacher's work more efficient, it helps him save time and space in making the necessary documents for carrying out, in good conditions, the activity. The development of information technologies has boosted the professional training of teachers for the use of TIC tools. Traditional teaching methods are not replaced by technology, but this can improve both the course material and the relationship between students and the teacher. Educational institutions must take advantage of the opportunities offered by technology and create programs, special software to offer the student an interactive, rich and varied learning experience. Technology is everywhere around us, and this must determine us, those responsible for the educational act in schools, to change the way students assimilate information during class hours.
The effect of employing computerized clouds to develop creative thinking among tenth grade students in computer science Irbid Governorate: أثر توظيف السحب المحوسبة في تنمية التفكير الإبداعي في مبحث الحاسوب لدى طلبة الصف العاشر بمحافظة إربد

The study aimed at recognizing the effect of cloud computing method (represented by the Google Drive application) on developing tenth grade creative thinking at the computer school subject. The study used the semi-experimental approach. The forty subjects study sample were selected by using the intentional method and divided into 20 unit for both of the experimental and control groups. It was found that using the cloud computing method in teaching, positively affects the tenth graders' creative thinking with its three domains (fluency, originality, and flexibility) and its development. There is significant statistical difference at the ratio of(a 0.05) in the creative thinking scale prepared by the researcher (proved creditable and constant) for the experimental group attributed to the cloud computing teaching method compared to the control group taught by conventional method. For these results the researcher recommend to use cloud computing in all different courses in school.
A Phishing Website Detection and Recognition Method Based on Naive Bayes

This paper compares and analyzes three popular phishing website detection methods, i.e., text mining based model, configuration file matching model, machine learning classifier model. Based on the URL, HTML and other peripheral information characteristics of the phishing website, the paper adopted machine learning method and designed a set of phishing website detection and recognition program based on Naive Bayes algorithm. Experiments show that the program can identify phishing websites in a timely, fast and effective manner, and can provide a certain reference for combating phishing practice.
A Novel Autoregressive Co-Variance Matrix and Gabor Filter Ensemble Convolutional Neural Network (ARCM-GF-E-CNN) Model for E-Commerce Product Classification

With the advancement of technologies intelligent and automated environments are rapidly evolved with deep learning and transfer learning techniques. However, the existing technique exhibits different difficulties due to increases in processing data complexity. This research developed an Artificial Intelligence (AI) framework for e-commerce product classification. The data for analysis is collected from different website sources and images are classified. The proposed AI framework is stated as Autoregressive Co-Variance Matrix and Gabor Filter Ensemble Convolutional Neural Network (ARCM-GF-E-CNN). The ARCM-GF-E-CNN incorporates an auto-regressive Co-variance matrix for the classification of online product images. The collected database is categorized into class based on features of the image. The simulation results expressed that the proposed ARCM-GF-E-CNN exhibits higher accuracy for the validation and testing dataset. Further, the analysis of ARCM-GF-E-CNN with existing technique expressed that the proposed classifier increases accuracy, precision, recall, and F1-score.
THE TECHNOLOGY OF PREVENTION OF PEDAGOGICAL PROFESSIONAL DEFORMATION

This article provides feedback on the classification of the phenomenon of professional deformation, manifested in pedagogical activity, the analysis of technology for its prevention, modern innovative methods of overcoming professional barriers and problems.