Reviewerly/exHarmony huggingface dataset:
On the Adequacy of a Takagi–Sugeno–Kang Protocol as an Empirical Identification Tool for Sigmoidal Allometries in Geometrical Space

Examining sigmoidal allometries in geometrical space can be carried away by direct nonlinear regression or generalized additive modeling approaches. Nevertheless, producing consistent estimates of breakpoints characterizing phases composing sigmoidal heterogeneity could be problematic. Here, we explain how the paradigm of weighted multiple–phase allometries embraced by the mixture structure of the total output of a first-order Takagi–Sugeno–Kang fuzzy model can carry on this task in a direct, intuitive and efficient way. Present calibration tasks relied on log-transformed amniote testes mass allometry data. The considered TSK fuzzy model approach not only offers a way to back the assumption that analyzed testes mass allometry is sigmoidal in geometrical space but beyond this, it provided meaningful estimates for transition among involved phases. Results confirm previously raised views on the superior capabilities of the addressed fuzzy approach to validating prior subjective knowledge in allometry.
Synchronized and Shared Board for learning and teaching in confinement times

This project shows the implementation of a digital shared board to teach and learn remotely in real-time. In the server-side, the software uses WebSockets, NodeJS and Whitebophir, in the client-side it is not necessary to configure or install nothing, it is only required to invoke a web navigator. The system runs in a personal computer, tablet and smartphones. The teachers can use to do exercises or to evaluate. It is designed for the child from 6 to 11 years old. Three teachers in Apurimac and Cusco evaluated the software, and they agreed that the software could help teachers and students to learn and evaluate.
Modification of ElGamal Cryptosystem into Data Encryption and Signature Generation

In the year 1985, Taher ElGamal proposed a newMohit, Prerna system for encryption and named it asBiswas, G. P. ElGamal public-key cryptosystem. This is considered as one of the most useful security techniques in cryptography. Its security depends on the Diffie–Hellman problem, which internally depends on the discrete logarithm problem. This paper presents an alternate implementation of ElGamal public-key encryption, where a two-tuple ciphertext similar to ElGamal encryption is generated with a difference of using a session key instead of the Diffie–Hellman key to extract the message. Likewise, the ciphertext tuple would be used as a digital signature. Moreover, no security loophole is found in the proposed modification. In addition, the proposed modification has been implemented over the Gaussian integer Z[i] and found to be secured. Finally, it has been claimed that the proposed modification is equally applicable in all security protections where the original ElGamal cryptosystem is used.
Online Testing of Dynamic Reconfigurations w.r.t. Adaptation Policies

Self-adaptation of complex systems is a very active domain of research with numerous application domains. Component systems are designed as sets of components that may reconfigure themselves according to adaptation policies, which describe needs for reconfiguration. In this context, an adaptation policy is designed as a set of rules that indicate, for a given set of configurations, which reconfiguration operations can be triggered, with fuzzy values representing their utility. The adaptation policy has to be faithfully implemented by the system, especially w.r.t. the utility occurring in the rules, which are generally specified for optimizing some extrafunctional properties (e.g. minimizing resource consumption). In order to validate adaptive systems’ behavior, this paper presents a model-based testing approach, which aims to generate large test suites in order to measure the occurrences of reconfigurations and compare them to their utility values specified in the adaptation rules. This process is based on a usage model of the system used to stimulate the system and provoke reconfigurations. As the system may reconfigure dynamically, this online test generator observes the system responses and evolution in order to decide the next appropriate test step to perform. As a result, the relative frequencies of the reconfigurations can be measured in order to determine whether the adaptation policy is faithfully implemented. To illustrate the approach the paper reports on experiments on the case study of platoons of autonomous vehicles.
Deep multiscale divergence hashing for image retrieval

Image retrieval based on deep learning of hash has made great progress. The hash method increases retrieval speed greatly while saving storage space. However, some problems exist, such as the distinctiveness of image feature still needs to be improved and some image features are still redundant. We propose a new deep learning to hash method, namely, deep multiscale divergence hashing, which provides a high diversity and compact image feature for image retrieval. The discriminative features from deep neural networks are identified by the importance criterion in network pruning techniques and the feature redundancy is reduced. Then, the selected features across different layers are fused in a certain proportion to increase the diversity of features for image retrieval. We also present a hybrid loss function in hash space, which consists of the weighted pairwise cross-entropy loss function and the KL-divergence. It tends to minimize the hamming distance between similar images and maximize the hamming distance between different images, which helps improve the accuracy. Massive experimental results show that our method achieves better feature distinguishability and more advanced image retrieval accuracy, and surpasses HashNet by 11.46%, 7.58%, and 13.86% on MS COCO, NUS-WIDE, and CIFAR-10 datasets, respectively.
PENGGUNAAN MEDIA AUDIO VISUAL DALAM PEMBELAJARAN BAHASA INGGRIS DI TAMAN BACA TANGERANG

The objectives of this study were (1) to find out teacher planning by using audio visual media in English vocabulary learning at the FAKT-na Tangerang Community Reading Park, (2) to find out teacher skills by using audio visual media in English vocabulary learning in the Park Read the FAKT-na Tangerang Society, (3) to find out the barriers to using audio visual media in English vocabulary learning, and (4) to describe students' learning outcomes by using audio visual media in English vocabulary learning at the FAKT -na Reading Park Tangerang. This research was conducted using a qualitative approach and descriptive method. The data collected in this study is based on interviews, field observations and documents, in the form of drawings and notes on the Reading Gardens profile. Respondents from this study were students of the FAKT-na Tangerang Reading Park. The results of this study indicate that in planning, the teachers pay attention to the competency standards contained in the Education Unit Level Curriculum (KTSP) so that the direction and goals of learning can be achieved optimally and also consider the availability of facilities and infrastructure. Problems in the form of technical and non-technical constraints are generally not a problem and can be overcome by teacher creativity to maximize existing infrastructure. Learning of students after using audio visual media has increased, meaning that the use of audio-visual media in the absorption of students increases. Implementation of the learning process of teaching English at the Community Reading Park in Tangerang using audio visual media that is very interactive and enthusiastic, students are more motivated to continue learning.
Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence

The Wisconsin Breast Cancer Epidemiologic Simulation Model (Tsai et al. in J Big Data 2:21, 2015) is a stochastic simulation model that uses a scientific modeling system to study the level of breast cancer incidence and mortality of the population in the USA between 1975 and 2000. Four interactive processes are modeled simultaneously: Natural History of Breast Cancer, Breast Cancer Detection, Breast Cancer Treatment, and Breast Cancer Mortality. These components form a complex interactive system that simulates the lives of 2,950,000 women (approximately 1/50 of the U.S. population) from 1950 to 2000 in 6-month cycles. After a learning period of 25 years, the outputs of the model provide the incidence and mortality rates as a function of age between 1975 and 2000 (Guller in Big data analytics with spark: a practitioner’s guide to using spark for large scale data analysis. Apress, Berzkeley, CA, USA, 2015). The model also simulates cases of disease, both detected and hidden, at the individual level, and can also be Used to answer questions about treatment selection and effectiveness, as well as to estimate the benefits for women of specific ages and histories.
AKUNTABILITAS PENGELOLAAN DANA DONATUR PANTI ASUHAN DENGAN SISTEM INFORMASI BERBASIS WEB

Accountability in financial management is a necessity. Accountable financial reports are a consideration for parties in need, as well as financial management from donors at the Aisyiyah Orphanage Foundation. This institution is a social institution whose role is to provide care and financing to children who have lost their parents. One of the sources of operational funding for this institution comes from donors. So far, financial management is still carried out in a simple manner, where the potential for calculation errors and inaccuracies still occur. This study aims to develop a web-based financial management system for donor funds capable of producing accountable, effective and efficient financial reports. The development method in this study uses a system development life cycle development model or the waterfall model. Based on the research results, it is obtained that the output generated from the financial management system of donor funds is able to produce accountable, effective and efficient reports.
The A Study And Analysis Of The Latest Trends In The Implementation Of An Automated Intelligent Conversation System (Chatbot)

The purpose of developing and deploying technology in its advance form is to provide easiness, to the human beings and help to those who are needful it.Nowadays, we are living in an intelligent environment surrounded by smart technologies. Where various devices or machines, are working smartly, like a human, due to artificial intelligence and its associated technologies, like deep learning, machine learning and natural language processing. They reduced the gap between man and machine. A chatbot is one of part of this technology; it becomes so popular and essential part of Human-computer interaction, the chatbot is playing, a vital role, in establishing the conversation in between, computer and humans. And that's why this automated conversation system is developed and deployed at many area's or domains. There is another system like various voice controlling systems, different dialogue systems, and personal assistants can be entities of human-computer interaction. But the purpose of developing a chatbot is to follow the humans, by the following of human style, conversation in the most realistic way, using natural language. Chatbots can be work as a counsellor, doctor, manager, teacher and friend. So various corporates and institutions, are ready to adopting and using chatbots, to increase the work efficiency. And to automate their services provided to the stakeholders. Implementing intelligent chatbots, which can interact with a human, is a bit of a challenge. Therefore, it can be evaluated most efficiently with more study, and appropriate analysis, the critical review will be required. This article conducted a survey, of latest chatbots through different papers, articulated in other areas, keeping in mind the, specific knowledge type provided to the systems, the domain area, for what purposes it is developing. The facts and finding of this review article will help in directing future directions for future scope.
Sentiment Analysis using Machine Learning Based Ensemble Model for Food Reviews

Sentiment analysis or determining the opinion is study about the people's sentiment, emotions and opinion that is expressed in terms of text.It's very popular because it helps us in understanding the opinions of other people.Which is the key influencer and important part of almost all human activities.The opinion of the people can be either positive or negative.The main objective of our work is to build a Machine Learning Ensemble model for Sentiment analysis.Ensemble strategies combine various learning algorithms to gain optimum performance.The Amazon Fine Food Reviews dataset has been used.The proposed model has been evaluated using various performance metrics such as Accuracy, Recall and Precision.Proposed system showed promising results when compared to individual base models.
GAMIFICAÇÃO EM TEMPOS DE PANDEMIA DO COVID-19: UMA NOVA FORMA DE EDUCAR EM SAÚDE - RELATO DE EXPERIÊNCIA

Introduction: Since the beginning of the second decade of this century, strategies have been adopted within Education and Health, aiming to increase awareness and add practical value to health professionals, to minimize contamination rates, and to bring primary care into companies and institutions. Faced with the contemporary Brazilian scenario, suddenly hit by the coronavirus COVID-19 pandemic, new forms of ill-characterized illness are emerging, such as stress, physical and mental fatigue, and another work-related suffering. Objective: In this way, the objective was to report the strategies used to educate in health in the return to face-to-face activities during the pandemic of the coronavirus COVID-19 in a private institution of basic and higher education located in the Bahian region. Methods: For this purpose, the methodology was based on an Experience report. Results: The results showed that Hhouve had a greater engagement among employees, especially with the application of gamification, which enabled interaction and encouragement for the practice of labour gymnastics, as well as care in the face of the COVID-19 pandemic. Final considerations, this experience report suggests that the use of gamification can be a strong ally together with social withdrawal in the fight against COVID-19 and the promotion of occupational health. Cause-and-effect work is needed to investigate the true benefits of technology use, especially in combating COVID-19 and promoting ergonomic quality in work environments.
LibGuides: LibrarySkills@UCL: Communicating and sharing information: Getting Started

A guide to scholarly communication, including sharing information through the principles of Open Research Searching and inquiry landing page
Abstracting AI Evaluation Environments with Virtual Machines

Author(s): Sarma, Arindam | Advisor(s): Smith, Adam M | Abstract: Open AI's Universe, intended to foster the development of general AI agents that could use a computer like humans do, fell short in a number of ways. As a result, attention shifted to smaller sets of environments such as Gym Retro or the Arcade Learning Environment. My thesis shows a way to overcome several of the limitations in the design of Universe by abstracting the execution of an interactive application in a full-system virtual machine. By using virtual machines, we regain the broad scope of the original Universe project, as well as the ability to pause, save, and restore at arbitrary moments of interaction, allowing the usage of several sophisticated exploration algorithms. I describe an API that implements the virtual machine strategy using Oracle's Virtual Box and ways to extend it with a framework for sensors and input actions that allow a broad range of manipulations of the virtual machines. I then walk through experiments designed to characterize the interaction latency and jitter associated with my implementation, as well as analyze the space costs associated with these large VMs and their associated save points. Finally, I demonstrate the utility of this implementation by showing automated play of two games.
Analysis of Problems in Application of "Mine Ventilation" Project Teaching

In order to better improve the quality of teaching, from the original teacher-centered to student-centered transfer, it is urgent to carry out the reform of teaching methods and methods. Taking the course of "mine ventilation" as an example, this paper studied the problems existing in the process of implementing project-based teaching, and put forward reasonable and feasible Suggestions according to the problems. This paper discussed the necessity of carrying out project-based teaching research in the course of "mine ventilation". The traditional teaching way and the effect of project teaching method has carried on the contrast analysis, the results show that the project teaching in the course of "learning" of mine ventilation applications have more advantages than the traditional teaching way, mainly reflected in the student's study enthusiasm, significantly improve grades, hands-on practice ability and problem solving skills, etc. This paper analyzed three problems of project-based teaching and put forward corresponding solutions.
Retirement of a distinguished researcher - Prof. Upali S. Amarasinghe

No abstract available
Learning Local Culture Becomes More Effective with Online Cultural Blogs in the New Normal Covid-19 Pandemic

This research examined the concept of learning the local culture of the community based online cultural blog in English for Tourism lecture in the new normal era. The lecture was closely related to the student's ability to master cultural knowledge, especially local culture, tourists, tourist attractions, and community economic activities and students were expected to be able to interpret this. During the current new normal covid-19 pandemic, all lectures were recommended not to meet face to face as an effort to prevent the transmission of covid-19. Lecturers must have a learning concept that was able to stimulate students to remain active and creative while taking distance lectures, especially in English For Tourism lectures, in which there was a lot of material that must be conveyed by lecturers to students. One of the learning concepts that was considered appropriate for teaching English for Tourism courses in the new normal era as it was today was the concept of learning based on Online Cultural Blog. It was an online blog whose contents were in the form of matters related to tourism culture. While the blog itself stood for web log, which was a web application in the form of writings (which were loaded as posts) on a web page. The content in this blog was expected to be able to help students became more enthusiastic in understanding the material in the English For Tourism course, which was mostly related to tourism culture. Therefore, learning objectives were still achieved even though they were not carried out face-to-face with students in the new normal era.
Techniques How to Enhance Visual Data Analysis and Its Descriptions

This article discusses the essential techniques in writing visual data such as graphs, process writing and map descriptions. Moreover, in this article 3 types of visual data descriptions are analyzed. Examples are also given for each type of visual data in this research work.
ESL students’ perspectives in understanding English reading materials: the insight from a language classroom / Norizul Azida Darus, Norhajawati Abdul Halim and Aini Akmar Mohd Kasim

Reading is an active language activity which comprises a variety of skills. The reading comprehension lessons are normally used by instructors to help students develop their reading skills. However, in most cases, it was found that reading comprehension lessons have been centered on passages or texts followed by a set of questions. These questions were usually designed to merely test the students’ comprehension of the given text and not part of the teaching process. It has been seen and said that students merely scan for information in the text to answer these questions but were unable to relate to it. This could be due to cultural factors including the lack of reading habits among the students but most likely due to the manner reading has been taught. Thus, this study aims to investigate the teaching of English Reading materials and reading comprehension to a group of 15 students undergoing Diploma courses in UiTM Perlis. This is a qualitative study and the data are gathered through classroom observations, students’ journals, instructor’s diary and interview sessions with the students and instructor to get clearer picture on the problems they face when having to comprehend English materials. The insight generated by the description and analysis of the data collected for this study can be used for a variety of purposes, particularly; to better understand the problems faced by students when having to read in a second language, to help ESL curriculum and instructional practices, and to provide useful insights for educational language policy making.
A Analysis of Improving Student Learning Outcomes Class VIII A Kendari 5 Kendari Middle School in PPKn Lessons Through Teach Teaching Team

Character-based education is a holistic process carried out to develop children’s academic capability and personality through which they eventually adopt wisdom and responsibility. The implementation of spoken tradition in social science learning, to This study aims to describe the improvement in the learning achievement of students of VIII A SMP Negeri 5 Kendari in PPKn learning through the application of team teaching. This research was conducted at SMP Negeri 5 Kendari. The research subjects were grade VIII A students, totaling 36 students, including 19 girls and 17 boys. Based on the results of research in two learning cycles: (1) the results of 10 aspects of observing student activity in the learning process with a total score of 27 with a value of 90.9 in the second cycle, there was an increase in value when compared to the first cycle a total score of 13 with a value of 43.3; (2) the results of 9 observation aspects of team teaching activities in learning with a total score of 24 with a value of 88.9 in the second cycle, an increase in value compared to the first cycle with a total score of 17 with a value of 62.9; and (3) the learning achievement achieved by students showed a very significant increase, wherein the second cycle there was an increase in the value of student learning outcomes with a class average of 81.11 and 30 students who obtained Indonesian scores ≥ 65 (83.33). %), there was an increase in value when compared to the first cycle where the value of student learning outcomes with a class average of 65.83 and students who obtained a PPKn value ≥ 65 were 19 students (52.78%). The application of team teaching in Indonesian language learning can improve the learning outcomes of grade VIII A students of SMP Negeri 5 Kendari.
LibGuides: Diversifying Your Repertoire: Select Digital Resources

Inspired by the work at the Institute for Composer Diversity, this LibGuide was created to continue the celebration, education, and advocacy of music created by composers from historically underrepresented groups at DePauw University's School of Music.