Reviewerly/exHarmony huggingface dataset:
Crowd Detection Using YOLOv3-Tiny Method and Viola-Jones Algorithm at Mall

Indonesia is one of the countries affected by Covid-19 which is spreading quite fast. Lately, the surge in Covid19 cases in Indonesia is quite high, due to the lack of public awareness of the current health protocols, such as avoiding crowds and keeping a distance. The purpose of this study is to reduce crowds that occur in places with a high risk of crowding, for example in mall. Detection is done by using Closed Circuit Television (CCTV) in the mall and using the YOLOv3-Tiny method and the ViolaJones Algorithm to detect the crowd. To support the research, we use the method of literature study and field observation at Cimahi Mall as one of the malls in the area of Bandung Raya. The results show that to reduce the number of crowds that occur in the mall, crowd detection must be carried out using the YOLOv3-Tiny method and the Viola-Jones Algorithm, and a warning system is given if a crowd is detected in the place. The main concept of this system is crowd detection and warning if there is a crowd located on CCTV in the Mall. In our opinion, when this system is running in malls that occur in Indonesia, the number of positive cases of COVID-19 in Indonesia will decrease because there are no crowds. It can be concluded that this system exists as a precaution against the crowds that often occur today at the mall. Prevention is done by detecting crowds and giving warnings if there is a crowd so that positive cases of COVID-19 in Indonesia will be reduced.
EVALUATION OF INDONESIAN TEXTBOOK USING ENGLISH LANGUAGE TEACHING CHECKLIST FOR THE TEN GRADERS SENIOR HIGH SCHOOL

A textbook is an essential part of English language teaching. In assuring the quality, the objectives of this present study are to find the quality and provide a qualitative evaluation of the general elements and teaching-learning content of the textbook entitled “Bahasa Inggris SMA/MA/SMK/MAK Kelas X 2017 revision.” This study focuses on the layout and the congruency aspect of the textbook with the curriculum and used reliable instruments of an English language teaching evaluation checklist and Indonesian national standard in analyzing the data. The present study uses a textbook analysis descriptive qualitative method in analyzing the data. The researcher gathered the data by gathering the textbook and the instruments, familiarize the data, coding, and select snapshots of the textbook. In-depth qualitative document analysis was conducted to gather the description of the material evaluation. The findings of this study reveal that the quality of the textbook has high usefulness with a score of (M= 2. 9). Additionally, the researcher also describes the qualitative implication of the evaluation checklist. The finding of the study is expected to be useful for the teacher and instructional designer in making a future decision of the textbook.
The Impact Of Electronic Marketing On Improving The Quality Of Electronic Banking Service In Commercial Banks In The Hashemite Kingdom Of Jordan

The study aimed to identify the effect of electronic marketing on improving the quality of electronic banking services in commercial banks in Jordan from the point of view of their employees.The researcher adopted the descriptive approach, and the study sample consisted of (202) employees in commercial banks in Jordan, and to achieve the objectives of the study, the researcher developed a questionnaire that included eight dimensions and the study data were analyzed.The study reached a set of results that the total mean of the study’s dimensions reached (3.96) with a high degree. The results also showed that the quality of banking service in Jordanian commercial banks came at a high level according to the responses of the sample members. The results indicate that there is a statistical correlation between e-marketing and improving the quality of banking service in commercial banks in Jordan.
Sequential 3 → 1 quantum random access code utilizing unsharp measurements

Quantum random access codes (QRACs) are important communication tasks that are usually implemented in prepare-and-measure scenarios. The receiver tries to retrieve one arbitrarily chosen bit of the original bit-string from the code qubit sent by the sender. In this Letter, we analyze in detail the sequential version of the 3→1 QRAC with two receivers. The average successful probability for the strategy of unsharp measurement is derived. The prepare-and-measure strategy within projective measurement is also discussed. It is found that sequential 3→1 QRAC with weak measurement cannot be always superior to the one with projective measurement, as the 2→1 version can be.
Aesthetic values as an object of research: from an Aesthetic to Cultural studies’ generalization

The purpose of the article is to prove the expediency and scientific, methodological, conceptual, and categorical potential of Cultural studies as a science that may offer an updated perspective for the study of the problem of aesthetic values. Methodology. Methods of scientific analysis, comparison, and generalization during the elaboration of the source base and the method of systematization are used to determine the traditional and innovative directions of research of the problem of aesthetic values. Scientific novelty. The article considers the interdisciplinary and generalizing potential of Cultural studies on the example of the problem of study aesthetic values. The existing tendency to move the analysis of problems of humanities from separate sciences to the plane of interdisciplinary is emphasized. It was accented on the novelty and relevance of such interdisciplinary research within Cultural studies. Conclusions. The approach of Cultural studies offers an increase in the scale of generalization from aesthetic to actually global, which combines the experience of studying scientific problems in the traditional and extended areas. Given the fact that on the one hand, all material and spiritual values which surround man were born from culture, because culture is the cumulative result of productive human activity, and, on the other hand, culture absorbs them, being phenomenon generalized, interdisciplinary approach of Cultural studies is able to suggest an updated perspective on this problem on the border of traditional and non-traditional sciences and through the improvement of its conceptual and categorical apparatus to offer new ways to study.
Forrest, C., &amp; Halbert, M. (Eds.) (2020). Beyond the Information Commons: A Field Guide to Evolving Library Services, Technologies, and Spaces

"Forrest, C., & Halbert, M. (Eds.) (2020). Beyond the Information Commons: A Field Guide to Evolving Library Services, Technologies, and Spaces." Journal of Web Librarianship, 15(4), pp. 243–244
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims.

Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with multilingual text representations could be one approach to solve the multilingual check-worthiness detection. However, this approach could suffer if cultural bias exists within the communities on determining what is this http URL this paper, we propose a language identification task as an auxiliary task to mitigate unintended bias.With this purpose, we experiment joint training by using the datasets from CLEF-2021 CheckThat!, that contain tweets in English, Arabic, Bulgarian, Spanish and Turkish. Our results show that joint training of language identification and check-worthy claim detection tasks can provide performance gains for some of the selected languages.
Protection of Patient Information Records Monitoring System through USB-HID and PIC Microcontroller PPIRMS

Several wearable devices have been suggested by the healthcare to assemble and display the patient information. Unfortunately, the privacy nor the reliability of the recorded data are met since many people can use the same device, and not necessarily with prior knowledge. The main objective of this project is to design a new system for patient information recording to ensure both privacy and relevance of the data. This new Protection of Patient Information Records monitoring system (PPIRMS) system can monitor the data in total privacy using USB-HID. The system will send the recorderd data using USB-HID connection which will ensure both security and privacy. The system implementation consists of many simulations. This PPIRMS system avoids the misuse of the wearable devices since reliability and privacy of recorded information are met. Benchmarking has been performed as well to fill in the research gap with previous studies and the highest value obtained was 71%. This study is enabled to create a system of high reliability, privacy, and security to record and monitor the patient’s information.
Deep Neural Network Loses Attention to Adversarial Images.

Adversarial algorithms have shown to be effective against neural networks for a variety of tasks. Some adversarial algorithms perturb all the pixels in the image minimally for the image classification task in image classification. In contrast, some algorithms perturb few pixels strongly. However, very little information is available regarding why these adversarial samples so diverse from each other exist. Recently, Vargas et al. showed that the existence of these adversarial samples might be due to conflicting saliency within the neural network. We test this hypothesis of conflicting saliency by analysing the Saliency Maps (SM) and Gradient-weighted Class Activation Maps (Grad-CAM) of original and few different types of adversarial samples. We also analyse how different adversarial samples distort the attention of the neural network compared to original samples. We show that in the case of Pixel Attack, perturbed pixels either calls the network attention to themselves or divert the attention from them. Simultaneously, the Projected Gradient Descent Attack perturbs pixels so that intermediate layers inside the neural network lose attention for the correct class. We also show that both attacks affect the saliency map and activation maps differently. Thus, shedding light on why some defences successful against some attacks remain vulnerable against other attacks. We hope that this analysis will improve understanding of the existence and the effect of adversarial samples and enable the community to develop more robust neural networks.
Representing the Under-Represented: a Dataset of Post-Colonial, and Migrant Writers

In today’s media and in the Web of Data, non-Western people still suffer a lack of representation. In our work, we address this issue by presenting a pipeline for collecting and semantically encoding Wikipedia biographies of writers who are under-represented due to their non-Western origins, or their legal status in a country. The two main components of the ontology will be described, together with a framework for mapping textual biographies to their corresponding semantic representations. A description of the data set, and some examples of biographical texts conversion to the Ontology Classes, will be provided.
Improving the students’ writing skill using weblog

This study used weblog to improve the students’ writing skill and took the second-grade students at junior high school Sentosa Bhakti Baturaja. Then, to take the data, the reserchers used the pre-experimental design. The objective was to find out whether there was any significantly effective to improve students in writing skill by the use weblog to the eighth-grade student of SMP Sentosa Bhakti Baturaja. This study took VIII.B that consisted of 18 students as the sample by applying cluster random sampling. The data was collected by using test. The test was in from of writing test. The data obtained through test and analysis was done by using statistical analysis (paired sample t-test). The result it was found the mean score of pretests was 50 and the mean score of posttests was 73,55. Based on the data analysis the researcher concluded there was significantly effective to use weblog to improve students writing skill descriptive text at SMP Sentosa Bhakti Baturaja before and after treatment. Since, the sig. (2-tailed) =0.000 less than significant level (?=0.05), the writers concludes that the alternative hypothesis (Ha) is accepted, and the null hypothesis (Ho) is rejected. It means that there is significant effect in using a weblog to improve students writing skill at SMP Sentosa Bhakti Baturaja.&#x0D; Keywords: writing skill; weblog; descriptive text&#x0D;
PMMA: Gearing up towards Education 4.0

As the innovation in sea instruction progressed, including the mass interruption of a more client produced Education 4.0 changing the universe of Philippine Merchant Marine Academy into , advances like the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) are affecting major sea enterprises. It very well may be viewed as like the substitution of manual occupations by machine-dealt with assignments that happened as an upset in the 21st Century learning. This suggests Education 4.0 won't just influence enterprises yet thus will change the manner in which occupations and instruction will be seen. cadets currently had their very own entrance to data, the choice to adapt for all intents and purposes, and stages to effortlessly associate with staff and different understudies. In the 21st century instruction, oceanic training started to adjusted the new thousand years training process, and the two cadets and educators began to utilize innovation in essential manners also called Education 4.0. So as to get ready cadets for work, The Philippine Merchant Marine Academy must adjust the educational plan and procedures to the most recent innovative progressions. Education 4.0 will empower cadets and educators in e-learning devices and applications that will give chances to remote, self-guided adapting instead of a conventional homeroom arrangement. The 21st century learning will change wherein hypothetical information will be bestowed outside the homeroom while useful or experiential information will be granted eye to eye and on-learning and calling that as mixed learning. innovation/gadgets utilized by understudies to increase training will have the option to pick the instruments and procedures through which they need to procure this new information. Procedures like mixed learning, BYOD (Bring Your Own Device) are a couple of instances of this. The last requests more to previous to support its upset. Leaps forward in innovation that are fluidly caught up in the Philippine Merchant Marine Academy in turning into an industry 4.0 presented incredible test in the ebb and flow training framework to deliver an alternate Seafarer in current world. Research limit and improvement made different nations to progress and in conquering any hindrance between industry 4.0 and instruction 4.0. Difference of innovative progressions just as the readiness and accessibility of current instructive offices decide the status of Philippine advanced education in connection to training 4.0. In position to this, Philippine training framework must arrangement yesterday in anticipation of the advanced world and guarantees that the requests of industry 4.0 are very much taken locally as well as all inclusive.
Indicators of the effectiveness of higher legal education: the activities of the teaching staff

The article considers the qualitative characteristics of the current state and development of higher legal education through the prism of professional activities of participants in the educational process. The main approaches to the establishment of criteria and indicators of professional activity of the teaching staff are highlighted. Promising directions of modernization of indicators of functioning of the educational organization are offered. The authors emphasize that the transparency and objectivity of indicators of the functioning of law schools and research and teaching staff can act as a vector for the modernization of higher education in general.
Notable object Identification by means of Fluffy Hypothesis and Article Level Upgrade

Article popularity is associate innovation in the field of Technology vision. It is regarded at the same time of the hard and checking out errands in computer vision. Diverse methodologies are projected antecedent, and a model with some other methodology that isn't absolutely fast though in addition solid. Easy net model has been contrasted and completely different models conjointly. Easy net version takes a goose on the complete picture at take a look at time consequently its forecasts are educated by means of global putting. This paper indicates a survey of the diverse structures which might be used to distinguish a commentary, limit accomplice object, type accomplice object, disentangle highlights, look facts, and some additional, in images and recordings. The feedback is drawn smitten by the concept-about writing what's extra, key problems are further recognized pertinent to the object discovery. Facts concerning the supply codes and datasets is given to inspire the new professional in beholding place. An idea concerning the achievable account the multi category beholding is further displayed. This paper is suitable for the analysts who're the apprentices at some point of this space.
Differential Neuromagnetic Mismatch Responses to Spoken Action and Abstract Verbs in the Motor Cortex

This paper discusses a novel implementable approach to an exact linearization procedure based on the implicit systems techniques. The formal procedure we propose includes a specific “splitting” of the nonlinear state representation in two parts that involve a basic rectangular representation and an auxiliary nonlinear algebraic equation. The proposed linear implicit systems description makes it possible to apply the conventional linear control techniques to an initially given sophisticated nonlinear dynamic model.
A Hybrid Meta-Heuristic Algorithm for High Performance Computing

Regarding optimization problems, there is a high demand for high-performance algorithms that can process the problem solution-space efficiently and find the best ones quite quickly. An approach to get this target is based on using swarm intelligence algorithms; these algorithms apply a population of simple agents to communicate locally with one another and with their surroundings. In this paper, we propose a novel approach based on combining the characteristics of the two algorithms: Cat Swarm Optimization (CSO) and the Shuffled Frog Leaping Algorithm (SFLA). The experimental results show the convergence ratio of our hybrid SFLA-CSO algorithm is seven times higher than that of CSO and five times higher than the convergence ratio of the standard SFLA algorithm. The obtained results also revealed that the hybrid method speeds up the convergence significantly, and reduces the error rate. We compared the proposed hybrid algorithm against the famous relevant algorithms PSO, ACO, ABC, GA, and SA; the results are valuable and promising.
TRANSITIVITY USED IN DONALD TRUMP INAUGURATION SPEECH

ABSTRACT In political speech there are so many ideas that come from the speaker, like in inauguration speech of new president. Donald Trump is the new president of America, in his controversy winning speech there are ideology that shown during the speech. The aim of the researcher of this study is how the transitivity process reveal the ideology. The main theory of this research is Fairclough’s theoretical framework of CDA (1997) that influenced by Halliday (1994). This study used qualitative as a method, because the researcher think that the method was fi with the topic. The data was from (https://www.whitehouse.gov/briefings-statements/the-inaugural-address/) Transitivity has six types and during the speech Donald trump used the six types of processes but only three processes showed up the most. Those are material process, relational process, and behavioral process. The conclusion of this study is that participant of transitivity that Donald Trump used in the speech showing he put his work as the society priority, and to ask the USA society work about the resolution with him. While the ideology is make the society more convinced
A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian

Abusive speech in social media, including profanities, derogatory and hate speech, has reached the level of a pandemic. A system that would be able to detect such texts could help in making the Internet and social media a better and more respectful virtual space. Research and commercial application in this area were so far focused mainly on the English language. This paper presents the work on building AbCoSER, the first corpus of abusive speech in Serbian. The corpus consists of 6,436 manually annotated tweets, out of which 1,416 were labelled as tweets using some kind of abusive speech. Those 1,416 tweets were further sub-classified, for instance to those using vulgar, hate speech, derogatory language, etc. In this paper, we explain the process of data acquisition, annotation, and corpus construction. We also discuss the results of an initial analysis of the annotation quality. Finally, we present an abusive speech lexicon structure and its enrichment with abusive triggers extracted from the AbCoSER dataset.
Detection of coverage vulnerability boundary in wireless sensor networks based on improved DV-Hop algorithm

In order to solve the problem of low localization accuracy and detection accuracy of traditional coverage vulnerability boundary detection algorithm, a new coverage vulnerability boundary detection method based on improved Dv-Hop algorithm is proposed in this paper. In order to improve the positioning accuracy of beacon nodes in wireless network, the traditional Dv-Hop algorithm is improved. Based on the improved Dv-Hop algorithm, the nodes covering the vulnerability boundary are located, the boundary range of the coverage vulnerability is determined, and the coverage vulnerability boundary detection is completed. Therefore, compared with the traditional detection method, the proposed method has higher accuracy than the traditional method.
A Computational Simulation of Children’s Language Acquisition (Crazy New Idea)

Many modern NLP models are already close to simulating children’s language acquisition; the main thing they currently lack is a real world representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this Crazy Idea is to spark a discussion about how we might get there.
Breast Cancer Prediction Model Using Machine Learning

Breast cancer requires early detection, hence it can be prevented earlier or treated more optimally. This article aims to demonstrate predictive modelling of breast cancer and evaluate the accuracy of its predictions using a machine learning approach. This study uses secondary data from the Wisconsin Breast Cancer Dataset (BCWD) which consists of predictive factors for breast cancer and labels for benign or malignant cancers that result. Modelling with machine learning is done by selecting three candidate algorithms, namely Random Forest, Support Vector Machine, and Logistic Regression. Evaluation of the classification performance of each algorithm is carried out by analysing its sensitivity, specificity, and accuracy. The experimental results show that Random Forest has better prediction accuracy (99.6%) followed by Support Vector Machine (98.7%), and Logistic Regression (93.9%).