Reviewerly/exHarmony huggingface dataset:
“Prices Rise as Morality Falls” – A Story of Turing Pharmaceuticals

Turing Pharmaceuticals, guided through CEO Martin Shkreli, a start-up increased the price of Daraprim - the standard treatment for toxoplasmosis – by 5433% from $13.50 per pill to $750.00 per tablet. Such incident again brings the attention towards the unregulated drug price in the US, which diverges from other developed nations. Moreover, such cases raise eyebrows among the society and force people to understand the intersection of healthcare, business practices and justice. Price raised by Turing Pharmaceuticals has a devastating force on the low-income people of US. It delivers a devastating consequence on the patients, and in the difficult economic situation, 5000% hike in costs is unreasonable. Many stakeholders are affected by the steep cost of the drug. Hence, drug price becomes one of the political agenda for the political leaders. Thus, the price rise caused by a Turing Pharmaceutical company triggered the burning issue of Biopharma companies to put profit before patient’s health.
A Study on the Auctorial Voice Model of Korean Argumentative Writing Texts

The purpose of this paper is to construct a auctorial voice model of the Korean argumentative text and verify whether the constructed model fits the characteristics of the Korean argumentative text. To this end, 45 argumentative texts by native Korean speakers were used as research data, and three experts evaluated the appropriateness of the use of auctorial voices. Then, Pearson correlation and linear regression were used to verify whether the overall voice strength and each subcategory had a correlation with the score of the writing texts, and which category of voice had the greatest influence on the score of the writing texts. As a result of the study, it was found that the overall voice strength of the auctorial voice had a correlation with the score of the writing texts. 28.5% of the score was determined by the overall voice strength of the auctorial voice. Among the subcategories of the auctorial voice, the most influential factors on the score of the writing texts were hedges, other’s voice mention, evidence reference, and rebuttal. 66.2% of the overall voice strength was determined by each subcategory of the auctorial voice. rebuttal, interpretation, hedges, and other’s voice mention had the greatest influence on the overall strength of the auctorial voice. Referring to the English auctorial voice model constructed by Zhao(2013), it can be said that the auctorial model constructed in this study fits the characteristics of the Korean argumentative writing text. (Dalian University of Foreign Languages/China Research Center for Northeast Asian Languages·Dalian University of Foreign Languages)
MULTICULTURALISM, INTELLIGENCE AND PRESENTING AUTOMATION AND ITS IMPACT ON AFRICAN HISTORIOGRAPHY

This paper basically looks at the effect of multiculturalism, data and correspondence innovation (ICT) on African historiography. The paper contends that the approach of multiculturalism and the presentation of ICT has presented the history specialist to a treasure trove of sources which can be effectively gotten to. This improvement has most likely diminished, generally, the difficulties related with source materials for the recreation of different parts of African history, which were until recently undeniably challenging to get to. Inspecting the different sources accessible for the recreation of African history (that is their qualities and shortcomings), the paper focuses on the requirement for antiquarians to treat the torrential slide of sources got from ICT with doubt until their genuineness and dependability is set up. This would over the long haul give more solid presumptions and ends in the reproduction of African history.
Efficient Depth Completion Network Based on Dynamic Gated Fusion

Depth completion aims to recover dense depth maps from sparse depth and RGB images. Current methods achieve high accuracy at the cost of large model size and huge computation complexity, which prevent them from wider applications. In this paper, we focus on making two key issues on depth completion – feature extraction and fusion – more efficient to achieve superior trade-off in model size and accuracy: (1) we propose efficient dual-branch encoder by exploring data characteristics of different modalities which can greatly reduce the model size and inference time; (2) we propose a dynamic gated fusion module, which is guided by input sparse depth to fuse information of both RGB and sparse depth feature more efficiently by generating dynamic fusing weights. Experiments on KITTI Depth Completion and NYU Depth v2 show that our method achieves 3.5x - 10x speedup against the state-of-art method, 9x param compressing and comparable accuracy compared with state-of-the-art methods, which shows our method achieves good trade-off between performance and speed.
Graphical Methods for enhancing the Authentication on System Passwords

Graphical secret key is one of the alternative solution to alpha-numeric secret word as it is extremely repetitive procedure to recall alphanumeric secret phrase. At a point when any ap- plication is furnished with easy to understand confirmation it turns out to be anything but dif- ficult to ingress and utilize this application. One significant explanations for this process is as indicated by mental investigations human personality can without much of a stretch recollect pictures than letter sets or numericals. In this paper, we are speaking to the verification given to the cloud by utilizing graphic secret key. We proposed, the cloud along with graphical se- curity by methods for picture secret word. We are giving calculations that depend on deter- mination of the “user_id” and “pictures” like a secret word. Based on letters in order re- arrangement of character positions in username, we are attempting to provide a collection of pictures. At last cloud is furnished with this graphical secret key verification.
Training Application for Industries by Means of Virtual Reality Technology: A Recent Study

One of the pylons of the industry 4.0 is augmented and virtual reality. It can improve the perception on the industrial processes in real time and more. The purpose of this research is to obtain a starting point regarding the actual abilities to enlarge the use of VR HMDs (e.g.: HTC Vive, Oculus Rift, etc.), assembling into a unique application, Virtual and Augmented Reality with Gesture Interaction. The project relies on the Leap Motion controller. This controller has an integrated infrared depth camera which can be used as an input video feed for stereoscopic view on Oculus Rift, at the same time, projecting the raw images of your hands into a 3D mesh that can interact with other objects in real-world space (in our case a 3D model of a complex product). The pass through from the twin Leap Motion cameras covers the part of the mesh such that each camera assures a distinct view of the hands, letting you see the actual depth. We can interact with the 3D model and show some functional animations. We present a part of an industrial application of VR used into a common industry (door locks manufacturing industry), which can be useful for research, training, and advertising too.
Naïve Adaptive Probabilistic Sensor Fusion for EnhancingContext Recognition

Wearable and non-wearable smart devices are capable ofcapturing huge amount of information from their users, this ispossible because of a variety of sensors installed on them. Sensorfusion technology can enable us to obtain a holistic picture of theusers' context and accurately monitor their state, although it isvery challenging to classify human context in real world. Handlingmultiple classes, uncertainty related to machine learning models,class-imbalance and large feature space are still some issues whichneed to be resolved, however recent researches propose differentprobabilistic models. Towards addressing these issues, in thisstudy we explore a new probabilistic model fusion approach calledNaive Adaptive Probabilistic Sensor (NAPS) fusion. This sensorfusion technique is capable of addressing uncertainty for multi-class classification in machine learning problems with largeimbalanced Human Activity Recognition (HAR) dataset. Our empiricalevaluation acclaims that NAPS fusion outperforms conventionalsensor fusion technologies and enhances context recognition innatural environment. Our approach avoided dimensionality reductiontechniques by developing structured feature-sets, which helps toresolve the class-imbalance issue. For multi-class classificationtask on Extrasensory dataset, NAPS fusion outperforms differentconventional sensor fusion models by 5%-56% in f1 score and 3%-9%in balanced accuracy.
VR Tools – A Free Open-source Platform for Virtual and Augmented Reality Applications on the Web

This paper aims to introduce a free educational web platform that offers a repository for viewing interactive content, using Computer Graphics (CG), Augmented Reality (AR) and Virtual Reality (VR) resources. The platform provides curatorship for third party and copyright projects. Within the scope of this research, two projects of the platform were subject to a qualitative evaluation. The evaluation carried out focused on the analysis of the motivating potential of using the platform during the distance teaching-learning process. It was possible to collect positive evidence about its viability for use in supporting both presential and remote learning.
Shaking up geophysics: A new model for improved tsunami prediction

arthquakes are one of the most destructive and yet unpredictable natural hazards on Earth.They frequently lead to equally unpredictable and damaging secondary hazards, such as landslides and tsunamis, which regularly hamper relief efforts for affected communities.Ranging from near-undetectable rumbles along minor fault lines to violent shaking leading to widespread damage as tectonic plates shift, earthquakes are an everyday reminder that the Earth is a geologically active planet.The exact behaviour of earthquakes is an ongoing topic of research for seismologists within geophysics.Dr Valentí Sallarès and Dr César R. Ranero work at the Institute of Marine Sciences in Spain and are particularly interested in the behaviour of subduction zone earthquakes, which are the most destructive ones and the most prone to generating tsunamis.They hope that by understanding them in more detail, we can work towards being able to predict when they may occur and whether they will cause secondary hazards, so that local communities may have some warning.
Preserving Security and Privacy: a WiFi Analyzer Application based on Authentication and Tor

Numerous mobile applications have the potential to collect and share userspecific information on top of the essential data handling. This is made possible through poor application design and its im ...
Lossy Image Compression Techniques

In recent years, domain image processing plays a most significant role in realtime applications. Due to reserved bandwidth and capacity, images are needed to be compressed, enhance, and noise-free to reduce the storage space as well as the transmission time. Compression overcomes the problem such as insufficient bandwidth of network and storage of memory device. Nowadays, many techniques are used to compress an image with a good quality. In this paper, I briefly discuss the concept of image compression and review the techniques which are used in loss image compression. This technique losses some data by using transform codes. Two codes are used to compress an image such as wavelet and fractal. The techniques scalar and vector quantization are used to quantize an input and partition into sub-images. I briefly discussed about the 2D-Discrete wavelet transform codes with examples which were done by Mat lab software.
An analysis of research trends of Korean language education for adolescent KFL learners –Focusing on non-Korean adolescents–

Along with an expanded interest in Korean, the number of adolescent Korean language learners has been increasing: as of February, 2020, about 145,000 learners in 1,635 secondary schools in 30 nations are taking Korean language classes. On top of that, if we include young people who learn Korean from online K-culture contents outside school, the number will rise more. So far, Korean language education has been mainly for immigrant youth (i.e. adolescents from foreign countries, multi-cultural families, and North Korea) and overseas adolescent Koreans. However, as many researchers now realize that systemic research on Korean language education for non-Korean adolescent is also needed, a lot of studies supported by the government are on-going. Reviewing research trends in Korean language education for the adolescent, this paper attempts to find a way that Korean language education for adolescent KFL learners would move forward. For this, 218 papers published in the last twenty years were reviewed, and 35 of them, the topics of which are adolescent KFL learners, are closely analyzed. As a result, it is turned out that research for practical curricula and materials for non-Korean adolescent Korean language learners is required. The primary research here means language knowledge (i.e. vocabulary, grammar, and pronunciation), the four language skills, language development, and the analysis of affective variables. (Seoul National University of Science and Technology)
Business Model Innovations through Blockchain Technology: An Empirical Study in the Era of Industry 4.0

Blockchain technology has transformed the modern business models and the level of transparency, transaction security and low-cost maintenance provided is still unmatched. This seminal technology has multi-faced potential uses in the whole arena of entrepreneurships. Here we have briefly clarified the concept of blockchain technology and emphasised on certain features which can possibly innovate the existing business models. The paper aims at the influence made by this technology upon financial and also non-financial services of a firm. Various innovative business models are also discussed. The paper has also attempted to show the features which can be of interest to the stakeholders. The famous business model, proposed by Osterwalder and Pigneur, which shows the effect of this technology on essential blocks of business model, is also briefly discussed in this article. We have proposed the various ways though which a business can maximise its profit through blockchain technology.
Evolving Ensemble Classifier for Mining Data Stream with Concept Drift

Learning concept drift is a challenging task in a non-stationary environment. Concept drift is concerned with learning from data, whose statistical data distribution changes over time. In recent days, ensemble classifiers have become a popular technique and more work has been carried out in data stream classification for non-stationary environment. Ensemble classifiers provide a natural way to adapt the changes which increase the classification accuracy than a single classifier. In this paper, we propose an Evolving Ensemble Classifier (EEC) based on ensemble classification technique which improves the performance of the learning model in the presence of concept drift. The proposed method EEC modifies the weighting function of Accuracy Updated Ensemble (AUE2e) algorithm. Our proposed algorithm EEC is compared with the existing well-known ensemble algorithms such as OzaBaggingo, AWEe and AUE2e on synthetic and real-world datasets. The experimental results show that the accuracy of the proposed algorithm EEC is substantially increased, regardless of the type of concept drift.
Implementation of Deep Learning and Motion control Using Drone

In current times, drones have widely used in many sectors such as transportation, photography, army and agriculture. However, the control system of the drone remains the same. Leap is a motion sensor using infrared and a camera to detect a hand signal and hand gesture. A leap motion sensor has been applied to this project as a controller to replace the variation of the control system of the drones. DJI Tello Edu drone has been chosen as Unmanned Aerial Vehicles (UAVs) for this project. A computer has been used as the main system that helps connect the leap sensor and drones via WIFI. This project use python language as the system of the program to control the drones. The main purpose of this project is to control the drones using leap motion and implement all possible gesture to control the drone at any movement. To evaluate the system performance of the drones in retrieving the video from the drone with object detection. There are three methods of object detection applied to this project which is Haar cascade face detection and YOLO V3 tiny object detection. The purpose of a computer visioning system is used to determine the output of video quality by comparing the frame rate for each detection method. The result shows that the leap sensor is successful to control the drones more stable and most all of the hand gesture and movement are applied to control the drone. For object detection, it shows that edge detection produces a higher frame rate compared with YOLO and Haar cascade detection. Overall, the frame rate shows the drone produces a static frame rate when in idle condition. However, when the drones are in flying condition, the frame rate decrease. The overall system still has pros and cons. Some suggestion are given to make sure the project can still improve.
Correction to: A note on Dekker’s FastTwoSum algorithm

The article “A note on Dekker’s FastTwoSum algorithm”, written by Marko Lange and Shin’ichi Oishi, was originally published Online First without Open Access.
A Study to develop Lifelong education model for middle and elderly adult’s life redesign

The purpose of this study is to develop a model of lifelong education to support life redesign for middle-aged and elderly adults in Korea. The contents of this study are firstly to analyze how middle-aged and elderly Koreans want to spend their second life; second to analyze the contents of support that must be publicly provided for life redesign support for middle-aged and elderly Koreans; and third purpose of this study was to analyze the contents of life redesign support services, support organizations and related experts currently provided for middle-aged and elderly people in Korea. Finally, based on the results of this analysis we tried to present a Lifelong Education Model to support life redesign for middle-aged and elderly Koreans. The method of this study was used the Delphi survey. The Delphi panelists consisted of 30 and conducted the Delphi survey three times. The Delphi survey used a questionnaire developed by the researcher. The research results are as follows. First, middle-aged and elderly adults in Korea hope to live their second life with various orientations such as economic activity, health care, volunteer activity, social participation activity, leisure, hobbies and travel. Second, in Korea, there are institutions, actors and experts who provide various services such as life redesign support and counseling, employment startup education and employment startup support, volunteer education and volunteer support for middle-aged and elderly people. Third, the contents of support from the state and local government for life redesign of middle-aged and elderly in Korea according to the types of life types lifelong education programs, organizations operating lifelong education programs, organizations supporting employment and start-ups and national policies to be implemented were derived. Based on the above results, a lifelong education model to support lifelong redesign for middle-aged and elderly adults was derived. In the future, support for lifelong redesign and lifelong education for middle-aged and elderly people at the national level establishment of a dedicated institution, training and deployment of expert, provision of customized lifelong education programs to meet the diverse needs of middle-aged and elderly people and related services are integrated will have to be provided.
Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification

Modeling adequate features of speech prosody is one key factor to good performance in affective speech classification.However, the distinction between the prosody that is induced by 'how' something is said (i.e., affective prosody) and the prosody that is induced by 'what' is being said (i.e., linguistic prosody) is neglected in state-of-the-art feature extraction systems.This results in high variability of the calculated feature values for different sentences that are spoken with the same affective intent, which might negatively impact the performance of the classification.While this distinction between different prosody types is mostly neglected in affective speech recognition, it is explicitly modeled in expressive speech synthesis to create controlled prosodic variation.In this work, we use the expressive Text-To-Speech model Global Style Token Tacotron to extract features for a speech analysis task.We show that the learned prosodic representations outperform state-of-the-art feature extraction systems in the exemplary use case of Escalation Level Classification.
RANCANG BANGUN INFRASTRUKTUR VOIP PADA MULTIPLE NETWORK JARINGAN SOHO

Voice Over Internet Protocol (VOIP) is voice communication that uses internet channels. The main focus on VOIP is the suppression of communication costs which are generally implemented on large-scale networks. VoIP in its implementation uses a LAN network system and is supported by VoIP protocols such as standardization of SIP (Session Initiation Protocol) and IAX2 (Internet Asterisk eXchange 2). Along with the development era, VOIP infrastructure implementation began to shift to SOHO (Small Office House Office) network infrastructure, where in terms of network complexity, SOHO is a type of small-scale network. Several small companies that have just implemented computer networks put SOHO networks as an option in their companies. The SOHO infrastructure that continues to develop until now has a fairly high and diverse level of communication access on network protocols (multiple network protocol Access), approaching a large network scale. So that the VOIP design can be a form of solution in handling the problem of communication cost efficiency. The VOIP built in the study uses the Linux Trixbox CE operating system, uses the standardization of the SIP protocol (Session Initiation Protocol) as the protocol used on servers and clients with support for PSTN telephone client equipment using Panasonic KXTS505MXW and Toriphone TP - 2375CID telephones, using Analog Telephone Adapter type LinkSys PAP2T – NA . The results of the research conducted, resulted in a VOIP infrastructure design on a network that has multiple communication access with implementation on the SOHO network type. Keyword : VOIP, LAN, SOHO