Reviewerly/exHarmony huggingface dataset:
Fine Grain Algorithm Parallelization on a Hybrid Control-flow and Dataflow Processor

Abstract The execution time of a high performance computing algorithm depends on multiple factors: the algorithm scalability, the chosen hardware, the communication speed between processing elements, etc. This work is based on a hybrid processor consisting of both the control-flow and dataflow hardware, where the control-flow hardware includes manycore architecture. The algorithm decomposition into portions suitable for different architectures is presented. The results are presented by decomposing the Lattice-Boltzmann method implemented for both control-flow and dataflow hardware. The total acceleration factor of the decomposed Lattice-Boltzmann method comparing to the execution time using the control-flow and the dataflow hardware is obtained by the analysis based on the speed of the communication between both hardware equal to the speed of shared cache memories. Results indicate the advantage of using the proposed hybrid architecture and the capability of accelerating considerably even the suitable for dataflow architectures. The analysis of the problem size needed to justify the utilization of control-flow hardware is also presented. The main benefit is in accelerating algorithms for which only some algorithm portions are suitable for the dataflow hardware.
INFORMATION INTEGRITY LAB AND THE IMPORTANCE OF CONTINUING DIGITAL EDUCATION FOR INTELLIGENCE PROFESSIONALS

On November 22, 2022, Alan Jones, Executive Advisor in the University of Ottawa Professional Development Institute (uOttawa PDI), presented Information Integrity Lab and the Importance of Continuing Digital Education for Intelligence Professionals. The presentation was followed by a question-and-answer period with questions from the audience and CASIS Vancouver executives. The focus of the presentation was the role of uOttawa PDI in regard to educating on national security.
Implementation of AI-Based Social Media for Vulgar Content Detector and Remover

Social media is a web-based technology that makes it easier for a lot of people to communicate socially. Social media is used by billions of people worldwide to connect and share information. In this project, a social media network powered by AI will be developed for the purpose of identifying and eliminating offensive information. The platform uses machine learning and natural language processing to examine user-generated content and flag any posts or comments that employ offensive language or imagery. The technology is trained using both feedback from human moderators and a dataset of previously detected foul content. Additionally, the site has tools that users can use to report and remove inappropriate information. There are also systems in place to punish or ban individuals who frequently flout community rules. The platform also has a function for automatically detecting and removing vulgar content in real time utilizing language model and picture recognition technologies. By eliminating offensive information and encouraging constructive conversations, this project seeks to build a secure and welcoming online community for its members.
An interpretable measure of semantic similarity for predicting eye movements in reading

Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study proposes a novel, dynamic approach for computing contextual semantic similarity, evaluates the extent to which the semantic similarity measures computed using this approach can predict fixation durations in reading tasks recorded in a corpus of eye-tracking data, and compares the performance of these measures to that of semantic similarity measures computed using the cosine and Euclidean methods. Our results reveal that the semantic similarity measures generated by our approach are significantly predictive of fixation durations on reading and outperform those generated by the two existing approaches. The findings of this study contribute to a better understanding of how humans process words in context and make predictions in language comprehension and processing. The effective and interpretable approach to computing contextual semantic similarity proposed in this study can also facilitate further explorations of other experimental data on language comprehension and processing.
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]

Recently, few certified defense methods have been developed to provably guarantee the robustness of a text classifier to adversarial synonym substitutions. However, all existing certified defense methods assume that the defenders are informed of how the adversaries generate synonyms, which is not a realistic scenario. In this paper, we propose a certifiably robust defense method by randomly masking a certain proportion of the words in an input text, in which the above unrealistic assumption is no longer necessary. The proposed method can defend against not only word substitution-based attacks, but also character-level perturbations. We can certify the classifications of over 50% texts to be robust to any perturbation of 5 words on AGNEWS, and 2 words on SST2 dataset. The experimental results show that our randomized smoothing method significantly outperforms recently proposed defense methods across multiple datasets.
Farm Environmental Data Analyzer using a Decentralised system and R

Abstract: Data/Web Hosting is a service that lets enterprises or selves present their data on the internet that users can access. The firm providing such services are web/data host. Apart from that, such services require incessant support, and not everyone can afford a particular centralized data host service. The peer-to-peer(P2P) protocol, the Interplanetary file system(IPFS), is augmenting into a legitimate alternative to traditional data and web hosting. This paper put forward a decentralized blockchain IPFS-based interactive manageable model, and the work presents an application and schematic that serves as a Proof of Concept(PoC) of decentralized blockchain technology that can be wielded to create an immutable record of energy and resource usage for further analysis and estimation of yield at a scale. IPFS hosts an immutable record that would be independently verifiable and available in perpetuity. First, having the user connect to the service through an IPFS node, then requesting the user upload their data. Then the data is uploaded, and a CID(Content Identification) and a QR code are returned to the user, who can then compute and visualize the results through the application. This system enables the novel application of decentralized data storage to capture, add and visualize yield and environmental data and track it further down the supply chain.
Webtoon’s Effect on Students’ Reading Comprehension at School

This study investigated the effect that employing the Predicting Strategy with Webtoon would have on MTsS Awaliyah students' reading comprehension during the academic year 2021-2022. This study was conducted using a quantitative methodology and a real experimental pretest-posttest control group design. Eighth-grade enrollment was 60 pupils, who were equally distributed between two classes. The samples were comprised of the whole population and were chosen using a simple random selection technique. There were 30 pupils in both the experimental class (VIII-A) and the control class (VIII-B) (VIII-B). The pre-test and post-test each consisted of 20 multiple-choice questions, and they served as the data collection instruments. Using 58 degrees of freedom (df) and a significance threshold of 0.05, a t-test revealed that the value of to was 6,515, and that ttable was 1,673. This equation indicated that to is more than ttable (6,515 &gt; 1,673). According to the study's findings, the alternative hypothesis (Ha) should be accepted, whereas the null hypothesis (Ho) should be rejected. It suggests that the experimental class scored differently than the control class after the therapy was administered. The Predicting Approach with Webtoons has a major impact on students' reading comprehension.
Aplikasi Fuzzy Analytical Hierarchy Process untuk Menentukan Prioritas Pelanggan Berkunjung Ke Gerai Minuman Choco Late

Choco Late is a beverage outlet in Panam Pekanbaru that sells drinks with various flavors that can be combined with various additional toppings. This study aims to determine the priority criteria for customers visiting the Choco Late beverage outlet using the Fuzzy AHP method. The AHP Fuzzy method combines the AHP method and the Fuzzy method. The AHP Fuzzy approach, especially the triangular fuzzy number approach with the AHP scale, must be able to minimize uncertainty so that the results are accurate. The criteria used in this study are service, goods sold, and the Choco Late environment. Based on the data calculation steps obtained by Fuzzy AHP, the respondent has a CR value = 0.0834, which means it is consistent because it meets the standards set CR &lt; 0.10, and the main priority is service with a criterion weight of 0.7339
Implementation of the Blended Learning Model to Increase Students' Motivation to Learn Mathematics

The problem of this research is the low motivation of students to learn mathematics, the ability of teachers to manage learning, student learning activities are low. To overcome this problem, a Blended Learning learning strategy was applied. The purpose of this study was to increase students' motivation to learn mathematics, improve teacher performance in managing learning and improve student learning activities by implementing the Blended Learning learning model at SMA N 6 Padangsidimpuan. This type of research is classroom action research (CAR). The subjects in this study were students of class X MIA 1 SMA N 6 Padangsidimpuan which consisted of 34 students. Data collection techniques are questionnaires and observations. Descriptive data analysis technique. The percentage of student questionnaire results in the first cycle was 50.15% to 89.97% in the second cycle and the increase in the percentage of student questionnaires was 39.82%. Student activity in learning increased, this was obtained from the percentage of 63.08% in the first cycle and 83.36% in the second cycle with an increase of 26.89%. Teacher performance activities increased with the acquisition of a percentage of 54.27% in the first cycle to 83.36% in the second cycle with an increase of 29.9%. So this research stopped in cycle II . The results of this study show that the Blended Learning learning model can increase students' learning motivation, can improve teacher performance and increase student learning activities at SMA N 6 Padangsidimpuan.
Development Of E-Comic Based Learning Media On Large And Unit Materials To Increase Student Learning Motivation

This study aims to determine the perception and feasibility of e-comics that will be developed to increase the learning motivation of high school students. This research is a follow-up research that has been carried out previously which is only up to the analysis stage. The research method carried out is R n D with the ADDIE model which has five stages, namely; analysis stage (analysis); design ; development ; implementation (use); evaluation, but this research is only carried out until the development stage. The assessment instrument used in this study is an expert validation sheet consisting of several aspects, namely; material aspects, language aspects, and media aspects. Based on the results of the product validation test from the validator, a percentage of the score was obtained 92.5% for the material aspect, 90% for the language aspect, 82.4% for the media aspect, and 77.08% for the motivation aspect so that the total average score is 90% which is included in the very decent category. The results of the student perception response showed a good response with a percentage of 78.94%. Thus E-Comics material of Magnitude and Units to Increase Motivation of High School Students becomes a product worthy of use
Development of E-Module Learning Media on Android-Based Alternating Current Materials to Improve Student's Critical Thinking Ability

This study aims to determine the feasibility perception of the development of android-based e-module learning media. This research is a continuation of previous research, which is limited to the analysis stage. The research method used is descriptive and is part of research and development (RnD) with the ADDIE model. This media consists of concept maps, material descriptions, learning videos, worksheets, and practice questions that are packaged in such a way that students can be more active in the learning process in class. The research instrument used was a validation sheet consisting of validation by material experts, media experts and linguists. The results of expert validation obtained a percentage of 84% and the results of student perceptions obtained a percentage of 82% in other words this e-module is feasible to use.
COMMUNICATION PLATFORMS AS A TOOL FOR MANAGING SOCIAL OPINION

The purpose of the research. There is a need to study network communication as a leading type of communication and informing humanity in the XXI century. The communication process requires detail and in-depth study. The scientific novelty. The emergence of new genre forms, synthesis of materials, expanding the boundaries of communication and the possibility of publishing any material lead to the emergence of new communication and information planes, the formation of fundamentally new units in social communications. We consider communication platforms to be one of them, which during their development stood out as independent units: separated from social networks, Internet trading platforms, network channels acquired independent classification features and became an autonomous and unique plane. Conclusions. The article offers a vision of communication platforms as components of the communication process. An attempt was made to separate them from already established units - media, social networks, information channels, etc. The scientific views of the leading scientists of Ukraine are analyzed. A survey of 550 Ukrainians was conducted. This gave the authors an understanding of the attitude of Ukrainians to the information field posted on communication platforms. The analysis highlighted that the audience does not understand the significant differences between communication platforms and other types of communication and information in the network. This is due to gaps in media literacy among the population.
Understanding the Resiliency of Cloud Storage Services

A cloud storage system requires multiple functional and management layers to render a global-scale storage solution. Providing a reliable service through this complex architecture becomes a challenging task. Moreover, the mere complexity of the system makes it difficult to identify the critical components for maintaining a reliable service. While data redundancy has been the predominant factor in improving reliability, it becomes crucial to understand if it is sufficient for the reliability of a cloud storage service. This work proposes a resiliency evaluation method that identifies the components necessary for storage service rendition and the ability of the system to absorb the effect of their failures and minimize the impact on service. Using this method, the resiliency of two distinct cloud storage services, OpenStack Swift and CephFS, are evaluated. The evaluation has revealed that data access requests may get delayed (up to 8x of mean response time) and even fail due to the lack of resiliency for access path components, even when there is enough user data redundancy. The lack of effort is evident while maintaining the consistency of critical internal data components resulting in reduced reliability. Even for stored data, some common failures result in loss of recoverability. The work concludes with some general observations and possible solutions that will help to improve storage service reliability.
A Framework for Supporting Deaf and Mute Learning Experience Through Extended Reality

Deaf and mute people do not have similar capabilities of learning experience with normal people. They find difficulties to absorb and understand the learning content. To date, XR technology has shown promising and significant impact in supporting teaching and learning specifically for disabilities people. This concept paper will propose a framework for deaf and mute learners as to enhance their learning experience by utilizing XR technology such as VR, AR and MR. Begin with user requirement analysis, a prototype will be developed based on the proposed framework and followed by evaluation phase. Most of the framework focusing on single approach of technology. Thus, our concern is to look at how XR would be capable to assist and support deaf and mute learners for their learning experience. The future work would be completing the XR prototype and evaluation to ensure the proposed framework is significant and useful in teaching and learning environment.
A Systematic Review on OCRs for Indic Documents &amp; Manuscripts

India is a hub for knowledge treasure which are recorded and processed them through the use of many advanced methods in recent times. The recognition of characters helps in understanding the information from printed documents or texts when converted to human understandable language. OCR (Optical Character Recognition) technique facilitates to recognize the text from Indian languages to English, which is a complex task due to varied scripts and handwriting ascents availability. This paper presents various approaches of OCR for Indian languages with different performance results. The analysis shows that OCR for Indian languages like Sanskrit, Tamil and others are still an unsolved challenge for many researchers globally.
CRIMINAL DETECTION AND RECOGNITION USING ML

It takes a lot of time to search through CCTV footage after a crime scene or significant incident to find culprits or people.According to the Goa branch of the cyber cell, they literally make many department employees sit at laptops and computers to go through CCTV material in an effort to identify and track down the guilty because they lack an automated way to conduct this work for them.This technique requires a lot of effort and time.The suggested system will be implemented using Microsoft Azure Cognitive services and a cloud infrastructure.As it is crucial to have a high accuracy for a project of this sensitivity, the next step of this research will attempt to compare the proposed approach with conventional techniques like HAAR cascade to assess the performance of the proposed System.
CHARACTERISTICS OF LIFE AND PROFESSIONAL STRATEGIES

The implementation of the research goal, which was to determine the main functional characteristics of a person's life and professional strategy, was carried out on the basis of the analysis of the results of his own research. The article substantiates the essence of the concept of "life strategies", "professional strategies" based on the analysis of scientific psychological literature. On the basis of the author's own research, a characterization of the professional strategies inherent in people of different age periods was carried out. In the structure of the characteristics, the following parameters were selected: the age of education seekers, the form of education, the strategy of choosing a profession and an educational institution, the presence of a profession and the presence of professional experience. Based on the analysis of the results of the author's research, the following characteristics were identified: the ability to adapt to the conditions of the profession and life, stress resistance, readiness for professional development, readiness to achieve professional success, professional activity, professional mobility, attitude to the profession as the implementation of a life plan. Combinations of these features made it possible to distinguish professional strategies: a strategy of cooperation, a strategy of professional creativity, a strategy of professional development and professional health. Keywords: life strategies, professional strategies, professional development, personal development, helping professions
Rhetorical structure mastery of tertiary students’ speech: Challenges and possible solutions

Rhetorical structure in speaking is essential to guiding students through speaking and making public speeches. Thus, this research explores the students’ mastery of rhetorical structure in making a speech, their challenges, and potential solutions. A mixed method with an explanatory design was employed to achieve the objectives. The data were collected through a speaking test and interviews using instruments validated by peer researchers. The data were analysed quantitatively and qualitatively; while the quantitative data were analysed using a simple statistical analysis, the qualitative data were examined using several stages, namely data reduction, data display, and conclusion. The results show that the students’ average mastery of the rhetorical structure of speaking was not significantly high. Some students faced challenges such as language problems and problems with rhetorical structures. Language issues were articulated in grammar, anxiety, and the excessive use of fillers. The rhetorical structure became problematic because the students were unfamiliar with how to attract the audience when making a speech, they insufficiently used supported illustrations in their speech, and they rarely concluded their speech. The possible solutions to those challenges include training in public speaking and continual guidance from their lecturers. With the guidance of the lecturers, it is anticipated that the students will be able to implement the three components of speech to deliver more convincing speeches.
Customer Satisfaction Quality in Banking Sector

Service sector generally and the banking sector particularly is facing a high level of challenges, especially with the level of customer expectation. Therefore, banks have started to improve their service quality. Technology progress and growth contributed significantly to changing the way of banking services, so customer satisfaction. Due to immense competition, banking is a customer-focused service industry, and customer happiness has become the most vital pillar of any banking business. The study aims to determine the main factors are enhancing customer satisfaction quality in the banking sector. To address the study&amp;#39;s questions and evaluate hypotheses, a quantitative technique was adopted to answer questions and test hypotheses. About (8) interviews were conducted with managerial levels and (250) questionnaires were distributed to the banking sector customers using the Simple Random Sample technique to achieve the research purposes in Jordan using the banking sector as a case study. (173) questionnaires were valid for analysis, based on the Statistical Package for Social Sciences (SPSS. V.26). The findings of the research revealed that there is a significantly positive impact of reliability, technology aspects, assurance, responsiveness, employee competence, security and privacy on customer satisfaction quality in the banking sector. The research results confirmed the importance of providing the services error-free to enhance customer satisfaction and increase loyalty. The website should contain information that serves customers and employees should be able to provide appropriate assistance to customers and maintain the confidentiality of customer information and data. Finally, use electronic protection software and constantly update the electronic applications banking sector.