Reviewerly/exHarmony huggingface dataset:
Learning opportunities through ICT from the perspective of TACs

The vertiginous advance of technology-mediated science has had an impact in one way or another on the different sectors that frame all human activity. Research in the world describes how technology has produced important changes in the conception of teaching and learning processes. Various investigations in both Latin America and Peru have shown that the implementation of resources based on technologies is effective in the learning process. The main purpose of the study was to describe the influence of the Virtual Classroom of Social Sciences (AVCCSS) program on the academic performance of students in regular basic education. The program was based on the use of the virtual classroom developed on the Canvas platform, with the b-learning modality, it was based on the theory of constructivism, a potential complement for the classroom. We worked from the perspective of the use of information and communication technologies (ICT), mediated by Learning and Knowledge Technologies (TAC). The study is part of the positivist paradigm, quantitative approach of explanatory level, experimental design, pre-experimental subtype. The results show that the AVCCSS program and the use of the virtual classroom had a positive and significant influence on the students' academic performance.
ECONOMIC IMPACT OF SOFTWARE PRODUCT LINE ENGINEERING METHOD– A SURVEY

: Software Engineering has to do with the art of design, development and maintenance of software products that adequately meet user’s need. The key market requirements this field tries to meet are basically time to deliver, product cost and quality. With these goals in mind, software engineering researches had experienced rigorous changes in time and in space especially in the area of “software re-use”. Software Product Line Engineering (SPLE) leverages on building reusable components to achieve massive re-use. It is about designing systems for, and with reuse. In traditional software engineering, requirements and software architectures are engineered based on individual product alone but a product line approach requires the software expert to do same for a family of related products. Therefore, common assets are built for these related products while variable assets are also discovered which will lead to production of each specific product. This process, as it were, does not come cheap at first. There are surrounding economic, social and other consequences. This work proposes to survey the economic impact of adopting software product line engineering methods in software production. This will help software developers make sound business case as well as appropriate judgments in terms of decision making.
PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN TENTANG MATERI NARKOBA DI KELAS VI SD ISLAM AL HIKMAH SUGIHWARAS BERBASIS ANDROID

Submitting learning messages from teachers to students today, still uses teaching aids such as books. This makes students less interested and bored. Based on observations made by the author in grade VI SD Islam A-Hikmah Sugihwaras that all students have smartphones have internet access but they only use their smartphones just to play games, chat, watch videos etc., use the device mobile in education is still minimal. From the above problems the writer formulates how to develop learning applications about android-based drug material and how to make students and students be able to use the application program and assess the appropriateness of the application. In this study the authors used the R & D (Reaserch and Development) method with primary data sources and secondary primary data obtained from the first suber ie teachers and students in the school while secondary data obtained from questionnaires. For This research succeeded in developing an application of drug learning media for the sixth grade of SD Al Hikmah Sugihwaras based on Android by utilizing the appypie.com web buider whose output is in the form of APK and can be used by students of Alhikmah Sugihwaras Islamic Elementary School by installing the application on a smartphone in the smartphone have and have an average value of 90% of the three validations, namely 79% media validation, 98% material expert validation and 91% product trial validation.
Method of covert information transfer in still images using a chaotic oscillator.

The subject of the research is the steganographic method of embedding information in digital images. Steganography is able to hide not only the content of information, but also the fact of its existence. The paper presents a method of embedding and extracting information into digital images using a chaotic dynamic system. Chaotic systems are sensitive to certain signals and at the same time immune to noise. These properties allow the use of chaotic systems for embedding information with small image distortions in statistical and visual terms. The methodological basis of the study is the methods of the theory of dynamical systems, mathematical statistics, as well as the theory of image processing. The novelty of the study lies in the development of a new method of embedding information in static images. The author examines in detail the problem of using a chaotic dynamic Duffing system for embedding and extracting information in digital still images. It is shown that the proposed method allows you to embed information in digital images without significant distortion.
Augmenting Linguistic Semi-Structured Data for Machine Learning - A Case Study using Framenet

Semantic Role Labelling (SRL) is the process of automatically finding the semantic roles of terms in a sentence.It is an essential task towards creating a machine-meaningful representation of textual information.One public linguistic resource commonly used for this task is the FrameNet Project.FrameNet is a human and machine-readable lexical database containing a considerable number of annotated sentences, those annotations link sentence fragments to semantic frames.However, while the annotations across all the documents covered in the dataset link to most of the frames, a large group of frames lack annotations in the documents pointing to them.In this paper, we present a data augmentation method for FrameNet documents that increases by over 13% the total number of annotations.Our approach relies on lexical, syntactic, and semantic aspects of the sentences to provide additional annotations.We evaluate the proposed augmentation method by comparing the performance of a state-of-the-art semantic-role-labelling system, trained using a dataset with and without augmentation.
Gameplay Analysis Based on Sequence Model of Popular Game in Play Store

A Popular game in mobile device have characteristic gameplay feature like pushing, moving or drawing. The understanding of game designer is the main thing to create game which is able to occupy the top free position on the Play Store. One aspect of gaming as software is the interactive feature. When viewed from the sequence diagram model, game being performed by the player is a set of interactions between objects that are viewed based on the life time line of the object. This study aims to find models of interaction between objects such as what supports an interesting gameplay. Data from the position of the bird object towards the pole and floor will be observed. This research uses game Flappy Bird that has been modified using Unity 3D for data recording and validated under all its functions in accordance with the original flappy game. By observing 30 users with good, moderate and bad levels with 40 games per user, player's skill level looks better if the more consistent the number of moves made (number of clicks) and the smaller the amount of excess distance on the x-axis. While the excess distance of movement on the y-axis has more attractive in movement.
The Analysis of Facial Feature Deformation using Optical Flow Algorithm

Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of interest. The deformation of facial features shows the relation between facial the and facial expression. Based on the experiments, the deformations of eye and mouth are significant in all expressions except happy. For happy expression, cheeks and mouths are the significant regions. This work also suggests that different facial features' intensity varies in the way that they contribute to the recognition of the different facial expression intensity. The maximum magnitude across all expressions is shown by the mouth for surprise expression which is 9x10-4. While the minimum magnitude is shown by the mouth for angry expression which is 0.4x10-4.
PERANCANGAN PROGRAM APLIKASI ENSIKLOPEDIA CHEMISTRY LABORATORY (ENCYLAB) BERBASIS ANDROID SEBAGAI SUMBER BELAJAR PESERTA DIDIK SMA/MA KELAS X

Problem of this research is  chemical learning media only student's worksheet and books from Indonesian Goverment. In addition, teachers still use conventional methods and have not integrated learning with technology. This results in the enthusiasm of the learners tend to be passive and easily bored. The purpose of this research is to know the process of designing the application Program Encylab. This type of research is Research and Development (R and D) by adapting the model of ADDIE developed by Dick and Carey through two stages, namely analysis and design with the evaluation of each stage. Data collection techniques are conducted through observation, interviews and documentation. Observations and interviews conducted at the analysis stage include problem analysis, competency analysis, learner characteristics analysis and product analysis. The documentation is conducted at the planning stage, including the preparation of material content, prototype making and initial product creation. Data analysis techniques use qualitative descriptive on the review of prototype creation before being used as the initial product of media. Based on the results of a review of the original media product by the reviewer, the evaluation obtained is the product deemed to have fulfilled the criteria worthy. So the initial product can be used. However, it does not close the possibilities if the product is developed further. Keywords : Android Based, Encylab, Learning Media
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline

Identifying threats in a network traffic flow which is encrypted is uniquely challenging. On one hand it is extremely difficult to simply decrypt the traffic due to modern encryption algorithms. On the other hand, passing such an encrypted stream through pattern matching algorithms is useless because encryption ensures there aren't any. Moreover, evaluating such models is also difficult due to lack of labeled benign and malware datasets. Other approaches have tried to tackle this problem by employing observable meta-data gathered from the flow. We try to augment this approach by extending it to a semi-supervised malware classification pipeline using these observable meta-data. To this end, we explore and test different kind of clustering approaches which make use of unique and diverse set of features extracted from this observable meta-data. We also, propose an automated packet data-labeling pipeline to generate ground-truth data which can serve as a base-line to evaluate the classifiers mentioned above in particular, or any other detection model in general.
Model updating after interventions paradoxically introduces bias

Machine learning is increasingly being used to generate prediction models for use in a number of real-world settings, from credit risk assessment to clinical decision support. Recent discussions have highlighted potential problems in the updating of a predictive score for a binary outcome when an existing predictive score forms part of the standard workflow, driving interventions. In this setting, the existing score induces an additional causative pathway which leads to miscalibration when the original score is replaced. We propose a general causal framework to describe and address this problem, and demonstrate an equivalent formulation as a partially observed Markov decision process. We use this model to demonstrate the impact of such `naive updating' when performed repeatedly. Namely, we show that successive predictive scores may converge to a point where they predict their own effect, or may eventually tend toward a stable oscillation between two values, and we argue that neither outcome is desirable. Furthermore, we demonstrate that even if model-fitting procedures improve, actual performance may worsen. We complement these findings with a discussion of several potential routes to overcome these issues.
Analysis of innovation in Blockchain and its areas of application: a patent data study

The first reference to Blockchain technology dates back from 2008 when an anonymous paper published online set forth the Bitcoin cryptocurrency. However, innovation in the field did not pick up until 2014, when the first patent related to Blockchain was filed in the United States. This technology has become attractive to many businesses and society because of the many benefits it can offer in terms of data decentralization and auditability. Regardless of it being popularly related to the Payments sector, Blockchain has more to offer in other fields. It promises to reshape the business landscape with disruptive technology paradigms such as Artificial Intelligence, Big Data, Internet of Things, and Cybersecurity. Furthermore, the study of patent data in Blockchain can provide statistics that offer insights into current trends within this technological field. Under this context, this study aims to obtain a general picture of the Blockchain innovation landscape by employing data found in patent fields. A search strategy was designed to query and extract patent data from a patent database. Consequently, several data analytics reports were generated via statistical tools in MS Excel. This study is focused on evaluating general trends in the field to then provide more detailed analytics in terms of a break-down by main players and most utilized patent categories for patent filing. Results reveal that while there has been significant progress with Blockchain technology since 2014, opportunity remains for advancement across multiple sectors. Ongoing research is fueling global competition, particularly between China and the United States.
Safety Verification of Model Based Reinforcement Learning Controllers

Model-based reinforcement learning (RL) has emerged as a promising tool for developing controllers for real world systems (e.g., robotics, autonomous driving, etc.). However, real systems often have constraints imposed on their state space which must be satisfied to ensure the safety of the system and its environment. Developing a verification tool for RL algorithms is challenging because the non-linear structure of neural networks impedes analytical verification of such models or controllers. To this end, we present a novel safety verification framework for model-based RL controllers using reachable set analysis. The proposed frame-work can efficiently handle models and controllers which are represented using neural networks. Additionally, if a controller fails to satisfy the safety constraints in general, the proposed framework can also be used to identify the subset of initial states from which the controller can be safely executed.
IMPLEMENTATION OF CURRICULUM BASED ON ENGLISH FOR SPECIFIC PURPOSES (ESP) TO IMPROVING SPEAKING SKILL IN ROOM DIVISION MANAGEMENT

The purpose of the research is to examine more deeply the implementation of English for Specific Purposes (ESP) based curriculum to improving speaking skills in Room Division Management. The speaking skills of a Room Division Management should be appropriate and specific. In this research, the problem is how the planning and implementation of study programs to improving students' speaking skills. The method used is descriptive and quantitative approaches. There are 41 tourism students in Class Room Division Management (RDM).The results of the study show that with the English for Specific Purposes (ESP) students, it is easier to understand English subjects and speaking skills increase in terms of the value of learning outcomes in English courses. From statistical processing, it obtained an average value. So it can be concluded that student learning outcomes are very good, and meet the minimum completeness criteria (KKM) in learning.
Sistem Electronic Supply Chain Management Menggunakan Metode Just in Time di PT Cemara Agung Mandiri

In the process of developing supply chain management, it is very important for a company that produces it, so that the production can reach the end users. In meeting the demands of consumers, especially companies engaged in textiles, PT. Cemara Agung Mandiri collaborates with raw material suppliers in order to produce equipment that meets customer needs. PT. Cemara Agung Mandiri is a company engaged in the weaving and textile industry with raw materials in the form of threads through machining fabrication to produce the required fabric, but when checking the raw materials at ADM warehouse, there are often irregular in and out of goods then with irregular in and out. Raw materials often occur delays in ordering goods with suppliers, resulting in delays in the production process. The method to be used is to use the Just In Time method, which is a method that has a method of production that determines the amount based only on the number of goods that will actually be sold, needed, produced in each part exactly as needed. In order for coordination and cooperation in the company's supply chain to run smoothly, this research builds Electronic Supply Chain Management software using the just in time method at PT. Cemara Agung Mandiri.
Proposed Method for Text Encryption Using Two Secret Keys and One Secret Mathematical Equation

Information security is a vital issue and it needs to continuous developments. This paper focused on developing the concept of encryption by using a proposed method to encrypt text information or may be after some farther processing it is suitable for all types of files. This method used two secret keys (symmetric encryption) and one secret mathematical equation, and there are two levels of encryption; firstly through first secret key (key1) (convolution key); secondly through another secret key (key2) and secret mathematical equation. The cipher text is only real numbers. Also this paper will include some results of encryption and decryption.
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

Federated learning (FL) is a machine learning paradigm where a shared central model is learned across distributed edge devices while the training data remains on these devices. Federated Averaging (FedAvg) is the leading optimization method for training non-convex models in this setting with a synchronized protocol. However, the assumptions made by FedAvg are not realistic given the heterogeneity of devices. In particular, the volume and distribution of collected data vary in the training process due to different sampling rates of edge devices. The edge devices themselves also vary in their available communication bandwidth and system configurations, such as memory, processor speed, and power requirements. This leads to vastly different training times as well as model/data transfer times. Furthermore, availability issues at edge devices can lead to a lack of contribution from specific edge devices to the federated model. In this paper, we present an Asynchronous Online Federated Learning (ASO-Fed) framework, where the edge devices perform online learning with continuous streaming local data and a central server aggregates model parameters from clients. Our framework updates the central model in an asynchronous manner to tackle the challenges associated with both varying computational loads at heterogeneous edge devices and edge devices that lag behind or dropout. We perform extensive experiments on a simulated benchmark image dataset and three real-world non-IID streaming datasets. The results demonstrate the effectiveness of \model~on converging fast and maintaining good prediction performance.
Ecologization of Communication amidst “Anthropological Catastrophe”

The study aims to conduct a philosophical analysis of the idea of “ecological communication” underlying the modern model of communication. Ecologization is understood as a form of “nonviolent communication”, which makes communication process most effective for all the participants. However, the authors think that this standpoint should be complemented by the philosophical and anthropological approach emphasising existential conditionality of communication. Problematizing “ecological communication” in relation to the informative and deep levels of communication, the authors believe that scientific novelty of their work lies in determining ambiguity of communication ecologization, contradiction between it and a person’s existential self-determination, which is a result of dialectic correlation between individualisation and joint participation. The attained results have shown that technologization of communication process and change in the modern individual’s attitudes to social existence make it possible to detail situations of interpersonal interaction, in which ecological communication does exhibit its relevance and usefulness acting as a form of adaptation to the conditions of new communication environment.
Local Based Literation Movement Towards The Welfare Of West Lampung Communities

This article aims to describe and explain the activities of the literacy movement based onlocal wisdom towards the welfare of the people of West Lampung. The author uses aqualitative design with sampling or determination of informants carried out directly(purposive). In May 2018 West Lampung was declared as a literacy district throughpromoting reading culture at every level of education, enriching other knowledge, trainingand skills activities and one library program. With the aim of contributing to the excitementof reading in order to be able to add community knowledge which is an important capital togive birth to a smart, innovative and independent society with dynamic, verifiable andinteresting movements.Keywords: Literacy movement, local wisdom, community welfare
LibGuides: Business: Business Research Tutorials

This is a Guide to all the best Business resources available to staff and students of TU Dublin . Pre-recorded tutorials on how to use library resources
Semantic Scholar, NLP, and the Fight against COVID-19

This talk will describe the dramatic creation of the COVID-19 Open Research Dataset (CORD-19) at the Allen Institute for AI and the broad range of efforts, both inside and outside of the Semantic Scholar project, to garner insights into COVID-19 and its treatment based on this data. The talk will highlight the difficult problems facing the emerging field of Scientific Language Processing.