Reviewerly/exHarmony huggingface dataset:
Expert assessment method in studying the problem of forming a positive attitude to life in a family with a special child

Nowadays, the issues of organizing upbringing and education of a special child are acquiring particular relevance, which is undoubtedly an important factor in the development of institution of education in our country. The purpose of the study is to find effective methods for studying the problems of forming a positive attitude to life in a family with a special child. The idea of the study is to show parents the importance of the problem of forming a positive attitude to life in a family with a special child and of helping their children to live a happy, fulfilling life. The study gives a detailed description of fostering “positive attitude to life” in special children through humane upbringing by parents, teachers and adults. During the study of the above-mentioned problem, we used various empirical methods: observation, conversation, study of documentation and archival materials, analysis of best practices, pedagogical skills, pedagogical innovations, findings and discoveries, analysis of texts, photos and videos, case study. While choosing methods, it was important for us that empirical research would be based not on literary data and scientific concepts, but rather on real reliable facts. The main research method was the method of expert assessment. The obtained materials are presented in the form of 4 blocks of questions and answers: “Do you consider the problem of forming a positive attitude to life in a family with a special child to be an urgent problem?”; “Do you believe that a special child’s positive attitude to life can be formed within the family?”; “Do you think that under modern conditions fostering a positive attitude of a child to life is perceived by parents as a pressing problem?”; “Who, in your opinion, can become a family partner in fostering positive attitude to life in a special child?”
Text Summarization

In this new era, where tremendous information is available on the internet, it is most important to provide the improved mechanism to extract the information quickly and most efficiently. It is very difficult for human beings to manually extract the summary of a large documents of text. There are plenty of text material available on the internet. So, there is a problem of searching for relevant documents from the number of documents available and absorbing relevant information from it. In order to solve the above two problems, the automatic text summarization is very much necessary. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings.
Histogram Equalization Based Defogging of Fogged Image

Foggy images causes contrast loss and color distortion and fog changes the visibility of scene. Fog removal algorithm used in tracking and navigation, consumer electronics, and entertainment industries. Many algorithms are proposed for efficient fog removal. Existing defogging methods cannot produce accurate scene transmission in removable of their unpleasing distortion and it is high complexity. In this paper, fog removal algorithms/techniques are represented for image processing. The overall objective of this paper is to explore images from fogged image by using histogram equalization. In the end, the proposed method is tested on several foggy images.
Offset and rotate measurement for video signal superposition

In this article the task offset and rotate measurement for video signal superposition was described. The developed algorithm is generalization of Lucas&ndash;Kanade model. Another name of this model is optical flow algorithm. The original algorithm allows to rate offsets parameters, but developed algorithm also allows to rate rotate angle. The concept of superposition has based on Taylor series of signal and sinus and cosines replacement on approximate function.
Skills Gap Challenge: How Apprenticeship Programs Address Skill Building and Educational Advancement

The job market reflects a complex set of employability issues when higher education, technical training and job fill rates are considered (Chaitanya, 2018; Moore &amp; Morton, 2017). As a result, skills gap or job readiness issues have emerged (Moore &amp; Morton, 2017), with a detrimental impact on employers and organizations (e.g., lack of productivity, performance, etc.) as well as employees (e.g., turnover, poor person- job fit, etc.). To help fill the void created by this mismatch, organizations are investing in apprenticeship programs. While the benefits of these programs are significant, opportunities exist to maximize overall apprentice performance and success.
ANALYZING COLLEGE STUDENTS' PRE-KNOWLEDGE AND POST-KNOWLEDGE OF EMBEDDED SOFTWARE SECURITY AND ITS IMPACT TOWARDS FUTURE INTERNET OF THINGS (IOT) DEVELOPMENTS

The purpose of this study is to compare the results between two different colleges regarding how college students in Computer Programming (CP) and Information Technology (IT) perceive security issues related to how the Internet of Things (IoT) plays a role in their majors.Security issues within the IoT are part of the challenges facing this ubiquitous emerging technology implementing embedded software applications.In this paper, we analyzed the results from the study of students' pre-knowledge and post-knowledge on the impact of security issues in the IoT embedded software applications.This study was conducted as a collaborative initiative between two colleges, Miami Dade College (MDC), located in Miami, Florida, and Pittsburgh Technical College (PTC), located in Pittsburgh, Pennsylvania.The findings indicated that students believed exposure of private information was important to IoT security and that IoT vulnerabilities have changed over the last 5 years.
Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool

Due to increase in demands for websites, faster deployment requirements and complex functionality requirements, developers face the need for a centralized code repository system to store repetitive codes and a suggestion tool to help them in solving the errors and warnings they face during development. The proposed system provides a centralized database for storing repetitive code segments, errors, warnings and solutions and also a code suggestion mechanism to provide suggestions to the developer during development. The system includes a code collection system to help the user to add the codes, errors and solutions to the centralized database and an analyzer system to fetch the web-page data, errors and warnings to analyze and provide appropriate suggestions to the developer. The proposed system focuses to reduce work and development time of developers by providing code suggestions during development and also facilitate effective code reusability.
Endangered Languages are not Low-Resourced!

The term low-resourced has been tossed around in the field of natural language processing to a degree that almost any language that is not English can be called "low-resourced"; sometimes even just for the sake of making a mundane or mediocre paper appear more interesting and insightful. In a field where English is a synonym for language and low-resourced is a synonym for anything not English, calling endangered languages low-resourced is a bit of an overstatement. In this paper, I inspect the relation of the endangered with the low-resourced from my own experiences.
Fast Facts

Academic libraries conducted nearly 700,000 consultations in 2018Degree completionNational Assessment of Educational ProgressCommunity colleges reported highest percentage of OER initiatives in 2018Homework-help apps
Spotlights: Volume 10, Issue 11

ADVERTISEMENT RETURN TO ISSUESpotlightsNEXTSpotlights: Volume 10, Issue 11 ACS Contributing Correspondents ACS Contributing CorrespondentsMore by ACS Contributing CorrespondentsCite this: J. Phys. Chem. Lett. 2019, 10, 11, 3189Publication Date (Web):June 6, 2019Publication History Published online6 June 2019Published inissue 6 June 2019https://doi.org/10.1021/acs.jpclett.9b01525Copyright © 2019 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views318Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (185 KB) Get e-AlertsSUBJECTS:Diodes,Perovskites,Phase transitions,Solar cells,Thermal expansion Get e-Alerts
Layered multiple description coding of multi-channel audio signals

In this study, we investigate efficient coding of multi-channel audio signals for transmission over packet networks. The techniques studied and developed as part of this research are based on redundancy coding and aim to achieve robustness with respect to packet losses. The resulting algorithm also addresses the needs of network clients with varying access bandwidths; the algorithm generates multi-layer encoded data streams which can range from basic mono to full multi-channel surround audio. Loss mitigation is achieved by applying multiple description coding technique based on the priority encoding transmission packetization scheme. The hierarchy of the transmitted data is derived from a statistical analysis of the multi-channel audio signal. Inter-channel correlations form the basis for estimating the multi-channel audio signal form the received descriptions at the decoder.
DEVELOPING READING MATERIALS OF PROCEDURE TEXTS FOR SECOND GRADE STUDENTS OF BEAUTY PROGRAM AT SMK NEGERI 8 MEDAN

The objective of this study is to develop suitable procedure text materials for reading skill, for Beauty program students. It was found that procedure text materials provided in the students’ textbook were not suitable to the needs and interests of Beauty program students. This research was conducted based on educational research and development (R&amp;D) through six steps, namely: gathering data, analyzing data, developing procedure text materials, validating procedure text materials, revising procedure text materials and final product. There are some instruments that were applied in this research namely questionnaire and interview .The subject of this study was XI Grade of Beauty program. Based on the needs analysis conducted there were 4 procedure texts related to Beauty program developed. The researcher developed the text by selecting and adapting relevant procedure texts related to Beauty program from internet and book as the sources. Then, the selected texts were adapted based on the principles of materials development in order to present well organized suitable procedure text materials. These developed procedure text materials had been validated by two experts and the average score gotten is 4.07. It is categorized “Good” since the mean is within the interval 3.40 &lt; ≤ 4.19. It means that the developed procedure text materials for reading skill are suitable for the eleventh grade students of Beauty program. Key words: research and development (R&amp;D), procedure text, Beauty program
Juvenile Delinquency as Manifested by Drug Abuse in Gweru Secondary Schools in Zimbabwe

This study investigated magnitude of juvenile delinquency as manifested by the prevalence of drug abuse in secondary schools in Gweru District in order to come up with practical suggestions to combat the practice.The study employed the quantitative methodology and used the descriptive design.The population comprised of all the 60 secondary schools in the district and the sample was made up of pupils from 4 of the secondary schools, which were randomly selected.From each school 50 pupils were randomly selected to arrive at a sample of 200 respondents.Data were collected by means of a questionnaire.The study revealed that drug abuse in most schools existed and that there was little evidence to show that schools were coming up with strategies to combat it.School authorities and other community stakeholders should treat drug abuse in schools as a major challenge that requires collective effort to address.The study also recommends that the school curriculum should include content and concepts addressing drug abuse as one of the core courses.
Sign Language Interpreter using Kinect Motion Sensor using Machine Learning.

Sign language is the route through which deaf and dumb people usually communicate with one another. It is seen that, impaired people find a difficulty while interacting with the society. Normal individuals are not able to understand their sign language. To bridge this gap, the proposed system acts as the mediator between impaired and normal people. This system uses Kinect motion sensor to capture the signs. The Kinect motion sensor captures 3 dimentional dynamic gestures. Thus this study is proposed for extracting features of dynamic gestures of Indian Sign Language (ISL). As American Sign Language (ASL) is popular and is used in research and development field, on the other hand ISL has been recently standardized and hence ISL recognition is less explored. The propose method extracts feature from the sign and converts it to the intended textual form. The method then integrates local as well as global information of the signs. This integrated feature leads to improvizing the system performance , the system serves as an aid to disabled people. Its application includes hospitals, government sectors and some multinational companies.
A streamlined workflow from Max/gen~ to modular hardware

This paper describes Oopsy, which provides a streamlined process for editing digital signal processing algorithms using Max/MSP's gen~, and placing them in the context of embedded hardware and modular synthesizers using Electro-smith Daisy platform.
Assured and Coherent Sharing of Healthcare Data in Cloud using Cryptography

The Healthcare information system (HIS) is a compendious system which is developed with a help of various healthcare employees. This information system helps to manage the entire working system of a hospital in paperless environment. Here all the data’s related to a patient’s are stored in a single database. It offers various benefits to a hospital, but fails to provide the better privateness and security to the data's stored in healthcare database. Various cryptography algorithms are used by the users to share the health information in cloud, which provides secured data sharing. But still, data breeches is the main problem in cloud. This paper proposes a framework for secure sharing of healthcare data in cloud.The Healthcare information system (HIS) is a compendious system which is developed with a help of various healthcare employees. This information system helps to manage the entire working system of a hospital in paperless environment. Here all the data’s related to a patient’s are stored in a single database. It offers various benefits to a hospital, but fails to provide the better privateness and security to the data's stored in healthcare database. Various cryptography algorithms are used by the users to share the health information in cloud, which provides secured data sharing. But still, data breeches is the main problem in cloud. This paper proposes a framework for secure sharing of healthcare data in cloud.
Secure Internet Banking Authentication

Check expect an essential improvement in checking any web banking industry, and heaps of banks and various affiliations have since a long time earlier depended on username/puzzle word combos to request clients. Holding usernames and passwords for a huge proportion of records changes into a huge and wasteful undertaking. likewise, inheritance check approachs have tumbling again and again, and that they are not confirmed against a not all that horrible kind of assaults which will be prompted against clients, systems, or endorsing servers. Reliably, data break reports weight that aggressors have made diverse welcome tech strategies to take clients' accreditations, which can cause a liberal risk. During this paper, I will with everything considered propose Associate in Nursing canny and reasonable client bolster subject abuse explicit contraptions that use absolutely amazing science neighborhood people like encoding, automated etching, and hashing. The system edges from the general use of present managing and specific cautious solid and wearable contraptions which will change clients to execute a verified solicitation appear. Our made point doesn't require Associate in Nursing check server to keep up static username and Arcanum tables for trademark and substantiating the validity of the login clients. It not exclusively is secure against question word related strikes, at any rate can in like way confine replay assaults, shoulder-surfing ambushes, phishing ambushes, and data break scenes.
Fly in the Face of Bias: Algorithmic Bias in Law Enforcement’s Facial Recognition Technology and the Need for an Adaptive Legal Framework

In July 2018, the American Civil Liberties Union (ACLU) ran a sample of photos depicting members of the 115th United States Congress through Amazon's "Rekognition" software, 1 a software designed to provide "highly accurate facial analysis, face comparison, and face search capabilities," among other services. 2he ACLU compared the congressional members' photos to a database of 25,000 publicly available arrest photos. 3Despite none of the congressional members actually being depicted in the arrest photo database, Amazon's Rekognition software found twenty-eight matches between the congressional members' photos and the mugshots in the database. 4 Upon human examination, it was clear these twenty-eight matches were caused by mistakes in the Rekognition software. 5 Frighteningly, the twenty-eight mismatches were disproportionally people of color. 6Despite attaining some of the most honorable positions in the nation, these Congressional Members were confused with criminals. 7 In recent years, Facial Recognition Technology (FRT), like Amazon's Rekognition, has become increasingly popular in a variety of industries. 8FRT is revolutionizing many activities that require a form of identification or verification. 9For example, FRT is
The Perception among Tourists on the Impact of Water Tourism Activities towards Marine Pollution: at Geopark, Pulau Langkawi

Marine pollution is not a new issue in our country. This could be problem if pollution happened at Kilim Karst Geoforest which is one of the UNESCO Geopark. UNESCO Geopark aims to protect geosites and natural environment. Pollution could exist when it relates to the high volume of tourist that flock to the Kilim Karst Geoforest especially Sungai Kilim. Thus, the increase number of tourists can lead to higher amount of pollution due to water tourism activities. This study is to identify the water tourism activities at Geopark, Pulau Langkawi and to analyse the perception among tourists on the impact of water tourism activities towards marine pollutions. A set of questionnaires was developed, and it was distributed to a total number of 100 respondents that available at Kilim Karst Geopark, Pulau Langkawi. This research was analysed by using Statistical Package for Social Science (SPSS). The findings of the results show water tourisms activities contribute towards marine pollution by using correlation analysis. It more proven when natural environment, for example the mangroves being threatened by tourist boat activities and pollution due to littering.
The Metrical Structure of the Sapphic Hendecasyllable and Sappho’s Aiolikon in Lesbian Poetry

The works of Sappho and Alcaeus, 7th–6th century BC lyric poets from the island of Lesbos, represent the Aeolic tradition of ancient Greek poetry. In this paper, two metrical structures of this tradition, that both have two quantity-free positions (anceps, brevis in longo), are analysed and compared with regard to the quantitative tendencies of these positions. The first metrical structure, the Sapphic hendecasyllable, was used by both poets; the other, aiolikon, is not attested in Alcaeus’s work. The analysed corpus consists of all the survived lines in these meters. Due to the fragmentary nature of the material, the statistical analysis is presented in two sets to add and include the data of the Sapphic and Alcaic lines about which there is a suspicion that they may be in these meters, and also to differentiate dubious data from the undubious. In addition, the statistical data of the quantitative tendencies of the undubious lines is also expressed with generative models. In general, all the free positions, except the ancipites of Sappho’s aiolikon, display a preference for heavy syllables and the preference is more pronounced in the brevis in longo position, especially when it comes to aiolikon. Comparing the hendecasyllables, Alcaeus tends to have more heavy syllables than Sappho. Aiolikon’s free positions exhibit the biggest quantitative contrast.
A real-time pedestrian detection system for safety applications

Nowadays, People are more distracted by their vulnerable devices, whenever they enter a cross road. As a result, a fatal accident or injury will occur. This motivated the need to implement a reliable pedestrian detection system. To optimize the system, a cross road scenario is considered where the driver is taking a right turn and a smart camera is used to capture consecutive pictures of the pedestrian. The consecutive frames are studied using Region Of Interest method and the Gaussian mixture model method. Once the detected pedestrian enters region of interest in less than 2 meters, a warning and automatic brake system is initiated to prevent the accident. Finally, the results of the proposed methods are compared based on the processing speed and performance rate of the Shape based detection technique (Wei Zhang, [12]). The performance rate was above 90% and processing speed was about 1 sec for the proposed methods.