Reviewerly/exHarmony huggingface dataset:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation

Multi-language speech datasets are scarce and often have small sample sizes in the medical domain. Robust transfer of linguistic features across languages could improve rates of early diagnosis and therapy for speakers of low-resource languages when detecting health conditions from speech. We utilize out-of-domain, unpaired, single-speaker, healthy speech data for training multiple Optimal Transport (OT) domain adaptation systems. We learn mappings from other languages to English and detect aphasia from linguistic characteristics of speech, and show that OT domain adaptation improves aphasia detection over unilingual baselines for French (6% increased F1) and Mandarin (5% increased F1). Further, we show that adding aphasic data to the domain adaptation system significantly increases performance for both French and Mandarin, increasing the F1 scores further (10% and 8% increase in F1 scores for French and Mandarin, respectively, over unilingual baselines).
Progressive Multidimensional Projections : A Process Model based on Vector Quantization

As large datasets become more common, so becomes the necessity for exploratory approaches that allow iterative, trial-and error analysis. Without such solutions, hypothesis testing and exploratory ...
The Power of Many Samples in Query Complexity.

The randomized query complexity 𝖱(f) of a boolean function f: {0,1}ⁿ → {0,1} is famously characterized (via Yao’s minimax) by the least number of queries needed to distinguish a distribution 𝒟₀ over 0-inputs from a distribution 𝒟₁ over 1-inputs, maximized over all pairs (𝒟₀,𝒟₁). We ask: Does this task become easier if we allow query access to infinitely many samples from either 𝒟₀ or 𝒟₁? We show the answer is no: There exists a hard pair (𝒟₀,𝒟₁) such that distinguishing 𝒟₀^∞ from 𝒟₁^∞ requires Θ(𝖱(f)) many queries. As an application, we show that for any composed function f∘g we have 𝖱(f∘g) ≥ Ω(fbs(f)𝖱(g)) where fbs denotes fractional block sensitivity.
Design of Space-Based Information Service Architecture Based on Mobile Cloud

In view of the practical problems of space-based information application, this paper analyzes the design idea of space-based information application service on the basis of the functional requirements of space-based information service and puts forward the design of space-based information application service based on mobile cloud. In this study, the detailed design of the overall structure of space-based information service is carried out from presentation layer, service layer, mobile cloud resource layer and core infrastructure layer. Efficient space-based information service system provides some theoretical reference.
Evidence Building for Ad Click or Web Access on Cloud

Web related illegal activities are increasing beyond expectation in recent years. Association of National Advertisers has reported that businesses lost more than $6.5 billion in 2017 due to fraudulent activities of ad frauds. Website of Github was down on 28 February, 2018 due to Distributed Denial of Services (DDoS) attack. The attack of DDoS was conducted through memcached servers. Analysis on relevant log data (web access log or ad click log) is required to identify such illegal incidents in digital forensics investigation. An evidence building methodology is proposed and implemented to generate required log data. The proof of concept is provided by coding three scripts, two in python and one in JavaScript. Virtual Machine (VM) on Amazon Web Service (AWS) has been utilized to execute one python script for log separation. Second python script is executed on client database server to store fingerprint of each click or web access. Fingerprint is a generated hash value unique for each device accessing a website or clicking an advertisement (ad). The third JavaScript code is to be embedded in client web page(s) or ad. The verification of log data has also been discussed with the help of fingerprints. The verification process allows regenerating the fingerprints of log data stored in AWS data store. The regenerated fingerprints are being matched with fingerprints stored in client’s database server. The proposed methodology can identify malicious intention of the cloud service provider (CSP) or the investigator or attacker. The proposed methodology can be extended to cloud forensics.
Graph Neural Networks for Decentralized Path Planning

We propose a combined model that automatically synthesizes local communication and decision-making policies for agents navigating in constrained workspaces. Our architecture is composed of a convolutional neural network (CNN) that extracts adequate features from local observations, and a graph neural network (GNN) that communicates these features among agents. We train the model to imitate an expert algorithm, and use the resulting model online in decentralized planning involving only local communication and local observations. We evaluate our method in simulations involving teams of agents in cluttered workspaces. We measure the success rates and sum of costs over the planned paths. The results show a performance close to that of our expert algorithm, demonstrating the validity of our approach. In particular, we show our model's capability to generalize to previously unseen cases (involving larger environments and larger agent teams).
The Jargons of Clash of Clans Used by The Teenagers

Online Games are popular for Indonesian teenagers, and one of them is the Clash of Clans (COC). Each online game has specific terms. Those are known as jargon. This study is aimed to find jargons of Clash of Clans used by the teenagers. It is a qualitative research using descriptive method. The result shows that there are seventeen jargons used by three teenagers. They are Archer Troops, Barbarian Troops, Wall Level 3, Wall Level 1, Town Hall 3 Starts, Mortar, Golem, Hogs, Wars, Builder, Hidden Tesla, Clan Castle, Giant, Healer, and Elixir. Those jargons are used in the other contexts, out of that online game. the players use this jargon language by considering the things in the real life with all of the things in Clash of Clans. So the jargon language from the game is accidentally said by teenagers in their real life context.
Studying Jigsaw Activities in Korean Listening Classes

This study aimed to investigate the role of jigsaw activities on improving Korean listening skills and affective attitudes in the listening classes for non-native students. The fifth term of jigsaw activity was conducted on 32 learners, and the following could be inferred based on the evaluation and questionnaire survey of learners. First, it was confirmed that learners’ listening skills improved as the jigsaw activities progressed. While the improvement was high for upper-level learners, it was low for lower-level learners. Second, the analysis of the questionnaire survey on learners affective attitudes and responses showed that the learners responded positively to cooperative learning through jigsaw activities. In addition, they felt interested in the listening classes and that it increased their academic confidence. Based on the above inferences, this study concludes the following. First, jigsaw activities help in improving listening skills for upper-level learners. Second, jigsaw activities have a positive effect on learners’ self-confidence, interest, and motivation, regardless of achievement. Third, to realize the maximum effect of cooperative learning when participating in jigsaw activities in class, it is necessary to consider the achievements of individual learners and adjust the input level of jigsaw activities.
A case study on English writing classes for college students applying collaborative learning

The purpose of this case study was to explore the effects on the students English writing ability and affective attitudes when applying collaborative learning to English writing classes for college students. Sixty-three university students (30 in an experimental group and 33 in a control group) participated in the case study. During the ten-week period of the case study, the control group students participated in the individual writing activities, while the experimental group students participated in a collaborative learning group of five students. Writing tests were conducted before and after the experiment to examine the effect of collaborative learning activities on writing ability, and independent sample t-tests and paired sample t-tests were performed for statistical verification. In addition, to examine the change of affective attitude, the online survey was conducted only on the experimental group, and a paired sample t-test was performed. Results of the study showed a significant improvement in the English writing ability of the experimental group that applied collaborative learning. There was also a positive change in affective attitude of the experimental group that performed collaborative learning. Based on the results of this case study, educational implications for collaborative learning on English writing for further studies are suggested.
Sistem Informasi Hutang Piutang (Studi Kasus:Perusahaan XYZ)

XYZ Company in the process of delivering receivable payable information is done by the way, the Director came directly to the company to know the due date receivable payable still using the manual system by admin seeing the accounts payable one by one. As a result, the information of due date receivable payables is less quickly submitted to the owner of the company.&#x0D; The puspose of designing and building a system of receivable payable information on Batik Rahmawati Company is, that the system expected would provide quickly and correctly information to the company.&#x0D; In this research, the researcher proposed the use of web-based accountspayable information system to provide receivable payable information to owner and the due date of receivable payable information of the accounts payable to the supplier or customer. The system that has been used is developed to computerize based (towards computerization) by using online web and using the waterfall development system method and by using designtools DFD ( Data Flow Diagram ).&#x0D; The testing is done by using Black box test which gives result that the web run as expected. The testing user who gives result agrees thet the system of the receivable payable information is feasiable and could help the user knowing the amount of the due date receivable payable. The conclusion of we-based receivable payable system is, that application could facilitate easilythe owner, suppliers, costomers of XYZ Company to know the receivable payable.
Visualization of Drug Interactions for Supporting Medication Review.

The number of elderly patients with multimorbidities has considerably increased since recent years. These patients are often polymedicated and at higher risk of safety incidents due to polypharmacy. To reduce polypharmacy, one solution is Medication review (MR). MR aimed at optimizing drug treatments, is unfortunately not very frequent in practice. Indeed, consulting the properties of 5-20 drugs in parallel is a cognitively complex task. It is therefore necessary to develop software for supporting MR. The existing tools only list alerts concerning drugs and their interactions. The objective of our work is to facilitate the pharmacist's access to the medical knowledge necessary for drug interactions. Using visual analytics, we propose an interactive tool that synthesizes information on drug interactions. It shows an overview of drug treatment and make it visually accessible by the pharmacist to facilitate MR.
Gestão dos arquivos para o alcance dos objetivos do desenvolvimento sustentável das Nações Unidas

The objective of the paper is to provoke a reflection on the possibilities of contribution of the archives and their professionals in the achievement of the objectives of sustainable development of the United Nations. To seek from the management of archival institutions, to promote actions that foster the achievement of the objectives established by the 2030 Agenda of the United Nations (UN). Thus, contributing to goals such as: public access to information, the efficiency and transparency of institutions, quality education, women's empowerment, among others. The study is characterized as exploratory and descriptive, which adopted bibliographic and documentary research in its procedures. It is expected to provoke a constructive and promising reflection on the role of archives in promoting sustainable development, that is, in the search for a better society.
Location Based Sentiment Analysis Using PC3E—PNN Consensus Between Classification and Clustering Ensembles—Technique in Big Data Platform

Twitter is a widely used micro-blogging website and it is a good source for opinion mining i.e. sentiment analysis. In politics, location-based sentiment analysis used to keep track of society’s opinions on the government, politicians, statements, policy changes, or any event to predict results of the election. Many algorithms and techniques are present for analysing the sentiments of tweets. To increase the accuracy, we propose probabilistic neural networks (PNN) based Consensus between Classification and Clustering Ensembles Technique (PC3E). Tweets are collected, pre-processed and segregated location-wise using Hadoop (HIVE). Location wise similarity matrix is constructed based on the unlabeled data and class probability distributions obtained using PNN. Then both outcomes of previous steps are fed as input into the Consensus between Classification and Clustering Ensembles (C3E) classifier. Then this PC3E classifier ensemble is smeared with data collected location-wise and the results obtained traced out on a map. PC3E classifier was tried on tweets collected on Prime Minister Narendra Modi and views of people about him in various locations are traced in a map with the help of Tableau software. The results obtained have amplified accuracy when compared with the different classifier algorithms.
Advocating for a blockchain voting system in the USA

The purpose of this paper is to present our proposal to use blockchain technology to create a secure, efficient, and smart voting system in the USA. The first section of this paper presents the current equipment and technology used in the current voting process in the USA. Next, an analysis of the technological challenges of our voting system is presented. Recommendations are proposed to remedy these challenges with the implementation of blockchain and biometric technologies. Next, the paper discusses the features, benefits, and uses of blockchain technology. Finally, arguments are presented both for and against the use of blockchain and biometric technologies for voting purposes.
Assessment of the company’s financial condition using a synthetic measure based on the example of a confectionery company

Motivation: Many methodological problems are associated with measuring and forecasting the company’s financial standing. Various methods have been developed to assess the current and future financial standing of enterprises. Their usefulness requires development and verification based on the example of a specific enterprise. The evaluation of one of these methods is the subject of this article.Aim: The research objective of the article is to propose a method for assessing the financial situation of a company and to carry out a forecast of the financial condition of an economic entity based on this method. To analyse the condition, indicator analysis and one of the methods of multivariate comparative analysis (MCA) were used — a synthetic measure was constructed, and then the time series analysis method was used (the model of the internal structure of the examined process was estimated). The study also attempts to determine the company’s financial condition forecast. The results of the study were presented based on the example of a company representing the food industry — the Wawel SA company.Results: In this study, the financial condition of the company was presented using a synthetic measure, which is a tool for multivariate comparative analysis (MCA). A model of the internal structure of the examined process was also estimated, based on which a forecast of the financial condition of a selected company representing the food industry was determined. The analysis showed that the presented methods are very useful for assessing and forecasting the company’s financial condition.
Digitali & partecipative: la dimensione sociale delle biblioteche accademiche

The dossier “Innovative Libraries” presents a review of the experiences of libraries that have in common the search for solutions aimed at redefining their role, with particular attention to the social dimension and new paths of access to knowledge. From a library experience conceived as a community hub, we move on to examine a case of involvement of local businesses in a cultural welfare perspective. The case of Turin is original. Here libraries offer to citizens hospitality in their offices to meet with professionals (accountants, notaries, etc.) to obtain advice, while in Rome and Milan there is a growing commitment to the prison population. The case of proximity libraries and condominium libraries is unique, while the promotion of active citizenship and the practice of listening is growing. Innovating also means transferring skills to students that enable them to operate in a Wikimedian environment or use the collections as an opportunity for conversation with the community. Innovation for academic libraries also passes through their ability to present themselves as digital and participatory thanks to the opportunities offered by the Third Mission and the opportunities offered to academic libraries to respond to the strong drives towards open science. Finally in a short article is described the new alliance between a public library and a library for patients of an oncology institute.
BERT-based Classification Model for Korean Documents

It is necessary to classify technical documents such as patents, R&D project reports in order to understand the trends of technology convergence and interdisciplinary joint research, technology development and so on. Text mining techniques have been mainly used to classify these technical documents. However, in the case of classifying technical documents by text mining algorithms, there is a disadvantage that the features representing technical documents must be directly extracted. In this study, we propose a BERT-based document classification model to automatically extract document features from text information of national R&D projects and to classify them. Then, we verify the applicability and performance of the proposed model for classifying documents.
Cohesion Indices in Writing: Comparing Web-based CohMetrix Elements with Writing Quality

Despite the wealth of prior research investigating how differences in writing proficiency are associated with certain linguistic features, there is lack of research to provide a coherent understanding and more reliable indicators of L2 writing. For this research gap, this study examines cohesion indicators in Korean EFL writings in terms of lexical, semantic, syntactic, and discourse features, and readability levels using Coh-Metrix. This study has three research purposes. First, 23 indicators from Coh-Metrix were compared to find similarities and differences across two proficiency groups. Next, the relationship between Coh-Metrix indicators and writing quality across English proficiencies was examined to find which Coh-Metrix indices have a correlation with writing quality. Last, this research explored a relationship between Coh-Metrix indices indicating cohesion and connectives uses across proficiency groups. Thirty argumentative writings were collected from university students in Seoul and divided into two groups according to their English proficiency. This research revealed that: 1) The means of some Coh-Metrix indices were different in the two proficiency groups, 2) 11 Coh-Metrix indicators showed a correlation with writing quality, and 3) participants in the lower group displayed some misuse of contrastive connectives. This study concludes with a discussion of some pedagogical implications for English writing.
Forensic Analysis of Third Party Location Applications in Android and iOS

Location sharing applications are becoming increasingly common. These applications allow users to share their own locations and view contacts’ current locations on a map. Location applications are commonly used by friends and family members to view Global Positioning System (GPS) location of an individual, but valuable forensic evidence may exist in this data when stored locally on smartphones. This paper aims to discover forensic artifacts from two popular third-party location sharing applications on iOS and Android devices. Industry standard mobile forensic suites are utilized to discover if any locally stored data could be used to assist investigations reliant on knowing the past location of a suspect. Security issues raised regarding the artifacts found during our analysis is also discussed.
RETRACTED: The Interaction of New Media and Social Information Based on Artificial Intelligence

Abstract With the continuous development of network information technology, the process of social informatization is further accelerated, information transmission and exchange between different regions is more convenient, and people’s demand for information is further met. At the same time, with the continuous advancement of media technology, new media has gradually emerged, becoming the main force of social media and playing an important role in people’s daily lives. The purpose of this article is to study the interaction between artificial intelligence and new media based on social information. This article explains the meaning of new media from the narrow and broad perspectives, and introduces the characteristics of new media; then the interaction between new media based on artificial intelligence and social informatization is studied from both positive and negative effects. In the experimental part, this paper adopts the questionnaire method and uses 472 valid questionnaires as the data basis to count the respondents’ awareness of the interaction between new media based on artificial intelligence and social information. The statistical result is that only 31.8% think that the degree of mutual influence is very deep. This article also puts forward suggestions to promote the mutual development of new media based on artificial intelligence and social informatization.
The impact of the school library on the development of entrepreneurial skills in students

Entrepreneurial skills are among the most important elements of development of each individual. To be an innovative, creative, and active member of society prepared to constantly develop and create new knowledge and skills, are the fundamental determinants of overall social and economic progress. The aim of this paper is to highlight the important impact of the school library on the development of the entrepreneurial skills of each individual that lead to success.
mLearning Using Whattsapp Application to Interconnect the Class

E-learning is one such platform used to help students learn with the use of electronic devices like computers and internet. M-learning is one another emerging methodology that follows all the principles of E-learning but with even smaller electronic tools like smartphones, table ts etc. The use of mobile applications in medical and dental education has been shown to increase student participation, enhance the feedback process and improve communication between student and tutor.