Reviewerly/exHarmony huggingface dataset:
An Enhanced Intellectual CAPTCHA Based on Intrinsic Situation Reaction Turing Test

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a challenge response tactics for identifying whether intervened user is human or bot. It is a benchmark task in the field of artificial intelligence that acquires capabilities to secure a webpage or database from programmed loop. There are various ways to attempt such tests i.e. distorted text recognition, motion text recognition, picture identification, mathematical calculation and AI problems as gaming CAPTCHA. Nowadays CAPTCHA is well thought-out as a broadly employed technique which is exploited by web services to prevent their system from unusual relay attacks. It is basically a Turing test required to differentiate whether the accessed client is either a human being or a robot. CAPTCHA is a trending approach where user needs to play an artificial game which is based on some logics that can be understood by human and almost impossible for robots. Gaming CAPTCHA is trending now where user is required to understand the task and perform as it required. But dragging an object towards target area on the basis of object recognition is not a big deal either for human or bots. It is required to put some intellectual efforts that automated programs do not understand. Proposed system is able to provide highly secured technique that easily differentiates human and bots. Proposed CAPTCHA is based on situation reaction test where user is required to take fundamentally correct decision as per the situation. Situation reaction based CAPTCHA is a new and effective approach where hard AI problem proposed that only possible for human and almost impossible for bots. Robot is always weak in correct decision making especially in real life situations that is why situation reaction CAPTCHA plays an important role in the field of turing test.
SHARP: Immersive retail experiences through augmented reality

Online shopping is becoming easier than ever with ecommerce sales steadily increasing year after year. Through recent technological advances, augmented reality has become widely available throughout consumer products such as the iPhone X and Samsung Galaxy S9. Using techniques such as object and image tracking, while using Apple’s native software, ARKit, Sharp enhances online shopping by elevating the experience between consumers and the products they are assessing. Allowing users to have a heightened retail experience in the comfort of their own space, Sharp achieves a traditional retail environment through an innovative ecommerce process. With current solutions unable to mimic similar immersive online shopping experiences, Sharp plans to achieve new standards for ecommerce experiences.
Analisis Penyebab tidak Ditemukannya Dokumen Rekam Medik Bagian Riset RSUPN dr. Cipto Mangunkusumo Jakarta

Provision of medical record documents in the medical record research center Dr. Hospital CiptoMangunkusumo is still not in accordance with the number of requests needed, in October there were 4,836requests, 3,953 documents were available, in November there were 3,823 requests and 2,977 documentswere available, in December there were 4,151 requests and 3,143 documents were available. The purpose ofthis study was to analyze the absence of medical record documents in the research section. This type ofresearch is a qualitative study using interview, observation and documentation data collection techniquesinvolving 3 respondents. The results of the study showed that the cause of the absence of medical recorddocuments was that the officers' knowledge was still low, the attitude of the officers who were still lacking indiscipline, supporting facilities and infrastructure were lacking and there was no motivation. Improvementefforts to overcome these problems are providing training, disciplinary officers need to be improved, do systemdesign, provide awards and conduct monitoring and evaluation.
R (statistical software)

Andresen, M.A. (2021). R (statistical software). In J.C. Barnes & D.R. Forde (Eds.), Encyclopedia of research methods and statistical techniques in criminology and criminal justice (pp. 865 â 866). Hoboken, NJ: Wiley Blackwell.
Mental Models of Prospective Visual Arts Teachers toward Visual Arts Education

This study aims to investigate the mental models of prospective visual arts teachers toward visual arts education.In the study, which employed a single case study design, one of the qualitative research designs, 97 prospective visual arts teachers were included as participants.Based on the aim of the study, data from various sources of data were collected by using the draw-and-write method.In terms of teachers, students, and classroom environments, nine behaviors were investigated and each behavior was assigned with a code.Within this framework, visual arts teachers' drawing criteria (VATD-C) were determined.The data were analyzed within the framework of the codes and VATD evaluation criteria.As a result of the findings that were obtained, it was concluded that the mental models of 54 prospective teachers were placed in the student-centered education model while the mental models of 43 prospective teachers were placed in the teacher-centered education model category.According to the variable of gender, it was determined that prospective teachers had different beliefs toward visual arts education.Additionally, it was observed that the drawings of prospective teachers in the student-centered education model were increased as the grade levels advanced.Different images were found in the drawings that reflected the student and teachercentered education model.It is suggested that programs that train visual arts teachers should be specifically planned in a way that eliminates false beliefs toward visual arts education, and environments that include student-centered education experiences should be provided.
In the Company of My Peers: Implementation of RDA in Canada

Describes the progress made toward implementing &lt;i&gt;Resource Description and Access&lt;/i&gt; (RDA) in libraries across Canada, as of Fall 2013. Differences in the training experiences in the English-speaking cataloging communities and French-speaking cataloging communities are discussed. Preliminary results of a survey of implementation in English-Canadian libraries are included as well as a summary of the support provided for French-Canadian libraries. Data analysis includes an examination of the rate of adoption in Canada by region and by sector. Challenges in RDA training delivery in a Canadian context are identified, as well as opportunities for improvement and expansion of RDA training in the future.
Lisbon 2019: 6th International Conference on Grammar and Text

GRATO -International Conference on Grammar and Text -is a biennial conference that brings together linguists from diverse theoretical backgrounds to discuss topics on morphology, semantics, text theory and discourse analysis, aiming to connect and thus mutually enhance grammatical and text / discourse approaches to language, from synchronic and diachronic perspectives.
Practical Privacy-Preserving in Cloud Image Repositories

Cloud computing is an emerging technology utilized widely due to its various advantages. However the major issue faced here is security in maintaining files. Our proposed work focuses on storing and retrieving of image data in secure way in cloud through double step verification. In general, cryptography is utilized to store data in secure way. The key logic is when there is less security automatically data will be reveal to unauthorized users. In our proposed method, these issues are overcome through double step verification. Initially image has been encrypted through Attribute Based Encryption (ABE). In addition to provide better security repository encryption has been implemented by RC4 approach. This will provide better security for user data in cloud through this two step verification. To ensure originality of user image watermarking technique has been implemented. Therefore it ensures without user knowledge an unauthorized user could not get the original image. Hence our system achieves maximum security compared to other existing approaches.
Tracking the Client Internet Usage Data for Behavioral Analysis

The objective of the study is to help the parents to track their child daily activities on computer, for which, there is a need to develop a Monitoring and Tracking System for computer and internet usage. To achieve the stated goals a framework was established and implemented. The interface was designed in such a way so as user will not get a sense that his or her activities are being traced. The database contain all the recorded logs to check over-all usage pattern over time, thus enabling parents to recall the past events and subsequently behavioral aspects of their child. In this study, Web usage mining for monitoring activity of kids has been addressed. The experiment was conducted on the dataset collected by using the developed software. The monitoring system (Systrack)has been compared with other available software’s and it was found that Systrack was able to perform all the functions which other software’s are capable of, in addition Systrack used data mining techniques to find the behavioural pattern of kids in different situation.
Financial Management Models in Effective Schools (Multisite Study at SMKN 1 Kandangan and SMKN 2 Kandangan, Hulu Sungai Selatan Regency)

This study&nbsp;aims&nbsp;to obtain a comprehensive picture&nbsp;of the&nbsp;Financial Management&nbsp;Model&nbsp;in Effective Schools&nbsp;(Multisite Study at SMKN 1 Kandangan and SMKN 2 Kandangan, Hulu Sungai Selatan Regency).&nbsp;This type of research is descriptive qualitative&nbsp;concerning (1)&nbsp;financial planning,&nbsp;(2)&nbsp;the management of&nbsp;finance, (3) finance supervision, (4) the report and&nbsp;accountability finance, and&nbsp;(4)&nbsp;model of financial management on the effectiveness of schools in SMK.&nbsp;The approach through&nbsp;survey data, and observations on the subject of research: the head&nbsp;of the school, the board committee,&nbsp;deputy head of the&nbsp;school, treasurer,&nbsp;and&nbsp;teachers.&nbsp;Data collection techniques: interviews, observation, and documentation.&nbsp;Data analysis:&nbsp;interactive, namely data reduction, data presentation, and concluding.&nbsp;Validity test:&nbsp;source and method triangulation. The results showed that: 1.&nbsp;Financial planning:&nbsp;No&nbsp;School Development Plan (RPS) and School Work Plan (RKS)&nbsp;compile the Budget and Expenditure of School (Budgets),&nbsp;2.&nbsp;Implementation of&nbsp;management: blind of RKS&nbsp;and documents 1,&nbsp;Budgets,&nbsp;use of total&nbsp;Bos and Bosda&nbsp;according to implementation instructions (operational guidelines), bookkeeping, proof of receipts, tax and stamp deposits,&nbsp;supervision, making&nbsp;reports, and accountability.&nbsp;3.&nbsp;Supervision: monitoring,&nbsp;auditing, evaluation, and&nbsp;review&nbsp;from Disdikbud, Bakeuda, Inspectorate, BPK and BPKP, general cash book reporting (BKU),&nbsp;special cash books (BKK), and&nbsp;taxes.&nbsp;4. L&nbsp;Reports&nbsp;and accountability:&nbsp;bookkeeping,&nbsp;record&nbsp;and,&nbsp;expenditure finances and&nbsp;report&nbsp;to account s&nbsp;each accompanied by proof of expenditure&nbsp;corresponding expenditure transaction.&nbsp;5.&nbsp;Effective financial management model:&nbsp;School-Based Management Model (MMBS)&nbsp;with the principles of accountability, transparency and efficiency, from the&nbsp;school&nbsp;management team,&nbsp;school principals, committees,&nbsp;and&nbsp;parents (community). The conclusion of this research is that the Model of Financial Management in Effective Schools (Multisite Learning at SMKN 1 Kandangan and SMKN 2 Kandangan, Hulu Sungai Selatan Regency) still needs to be improved so that financial management becomes better and stable.
ECHO: Hands-Free Computer Interaction using Speech Recognition System for the Debilitated

Computer nowadays is a must-have tool for most people. However, it is not a tool to be used by people with physical disabilities, especially the ones lacking an arm or two. The goal of this paper is to introduce a system that will help computer users perform tasks and make use of computer features and functions despite their physical limitations through the Speech Recognition System (SRS) in the English language. Ideally, this aims to provide users with an alternative way of interacting with the computer system and navigate through its functions using SRS in place of peripheral devices. It can be used to navigate through menus, open and manage applications, open certain websites, browse the internet, and type words, letters, numbers, and symbols using the dictation mode. For the testing phase, the following test cases were used: Functionality Testing, Stress Testing, and Compatibility. The testing phase yielded a result of 94.79% for the functional, 100% for stress, and 100% for compatibility, effectively ensuring that the software is working as intended. The evaluation results conforming to the standards of the ISO/IEC 9126-1 yielded a mean of 3.57 with a standard deviation of 0.52 interpreted as ‘Highly Acceptable', which means that the software can be used as an effective alternative to peripheral devices and can even be used to complement its usage.
Cipher Text Policy Attribute Based Encryption (Cp-Abe) using Concealed Policy in Public Cloud

Cloud computing focus on the data storage and the management. Since the cloud is open source for the user there have to protect the privacy and the security of the data which are less maintenances. There are several approaches designed to establish a secure data. The Signature work of this scheme is to allow the user to verify the shared in the cloud using the secret key. The anonymzed access policy can be viewed by the Cloud Service Provider (CSP) and the user; hence the recipient information will not be leaked or disclosed. The novel idea of this method is to conserve the privacy of the access policy using Cipher text Policy Access Based Encryption (CP- ABE) scheme. We have proposed a novel system, “Concealed Policy using mandatory and Role based”, using time elapsed of 10 secs. Within the required time the user, should response to the cloud using their Secret key(SK) to decrypt the file, and the owners with the Public key (PK), must encrypt the file using the mandatory access and upload it to the Third Party Auditor (TPA).This will improves the security to the user in the cloud environment. The concealed policy relies on two stages, there is Mandatory policy and Role based policy using the signature verification. Which are more efficient to the user to encrypt and decrypt the file. Without verification of the signature, the legitimate user cannot access the particulars in the cloud environment. If the signature of the user is valid, there can access (decrypt) the file using the SK. whereas, invalid signature occurs the TPA (Third Party Auditor) traces the reasonable user responsible for the signature and check with the mandatory access to encrypt the file, Nether less the access den ailed.
Speech Classification for Kannada Language

Speech classification is one of the challenging issues in speech processing. In this paper, we have done speech classification for the Kannada language. We have gathered a speech database from children aged 4-6 years. The dataset collected are pre-processed and speech feature extraction is done using Mel Frequency Cepstral Coefficients (MFCC) technique. After feature extraction Kannada alphabets are classified using six different Machine Learning (ML) classifiers. The classifier accuracies are compared with each other. Amongst the Deep Learning classifiers, Recursive Neural Network (RNN) gave the highest accuracy of around 93.6 %( for 300 epochs) and Random Forest (RF) gave the highest accuracy of around 88.9% which is a Machine Learning classifier.
CONTEXTUAL APPROACHES IN KAIWA LEARNING (SPEAKING) JAPANESE LANGUAGE

Speaking as one of the productive language skills and is an important activity in daily activities as meaningful interaction between humans is still not optimal in the Japanese language study program from an explanation before, this purpose of this study is to achieve the goal of speaking skills; the permitted curriculum in the Japanese Language Education study program, the development competency based curriculum in 2009 provides courses: Kaiwa 1 (会話 １) Conversation 1、 Kaiwa 2 (会話 ２) Conversation 2、 Kaiwa 3 (会話 ３) Conversation 3、 Kaiwa 4 (会話 ４) Conversation 4、 Kaiwa Enshuu （会話 演習） Conversation Deepening and one special course for Japanese speech skills, Nihongo Supiichi (日本語 ス ピ ー チ) Japanese Language Speech. In line with that idea, an important strategy in this learning is to teach students to be able to connect each concept with reality rather than emphasizing how much knowledge must be remembered and memorized. This research used CTL approaches which is contextual learning can be applied in any curriculum, any subject or field of study with a class regardless of the circumstances. In line with what was discussed by the Ministry of National Education, there are Seven (7) main principles that must be developed by teachers in the CTL approach. The contextual approach in Kaiwa learning is also expected to facilitate the achievement of learning goals, namely the aim of speaking Japanese skills to improve students' speaking abilities and provide many opportunities for the practice of talking with friends while making students actively involved in the learning process. Therefore, it is recommended that in Kaiwa learning (the name of the course for speaking skills in Japanese), I - IV this contextual approach can be used even maximized. The researcher realizes that this learning model is not the only one that is most suitable and relevant in teaching Japanese speaking skills courses but can be used as enrichment material.
The use of visual icons and signs: investigating the punctuation of text by emoticons and communication clarity in online professional communication environments

Computer mediated communication (CMC) is becoming increasingly prevalent and relied upon as the Internet facilitates the rapid growth of global networks and expands communication boarders. Today, many individuals rely on CMC for professional purposes, such as connecting long distance with co-workers to collaborate and advance workplace tasks. These individuals often rely on professional online collaborative programs that allow them to connect with colleagues across cities, provinces, and around the world. Relying on CMC for the transmittal of important electronic messages places it at the forefront for understanding how technical communication devices and networks function. This also requires an understanding of how ambiguity with online conversations can be decreased through the use of the Internet. However, what professional collaborative programs currently lack is a singular professional software that integrates both collaborative on-screen practices and online chatting capabilities with visual icons; or professional emoticons. The following research aims to investigate the communicative value of emoticons within a structured sentence via a study involving professional communication graduate students from Ryerson University and senior marketing communication professionals from a marketing agency in Toronto, Canada. Using concepts from critical visual methodology and a theoretical framework of visual semiotics, emoticons will be examined to see whether or not these pictorial symbols act in a similar fashion to punctuation symbols within a given sentence structure. The goal of this research was to investigate the use and meaning derived from emoticons in relation to grammatical punctuation for sentence structures in online communication environments. Specific emoticons were selected and used to measure participants‘ interpretation of each symbol within the particular context of a given sentence.
Estimation of Global Solar Radiation in Mubi, Nigeria

Application of solar energy system requires having knowledge about solar irradiation potential in different locations. This study therefore used artificial neural networks for predicting solar global radiation by using metrological data. There is no report about prediction of solar radiation potential for Mubi by using Artificial Neural Network (ANN) method. It is very encouraging to observe a very fine agreement between the measured and estimated values shown in study. The ANN Model is considered the best relation for estimating the global solar radiation intensity for Mubi region with an acceptable error. The MSE, RMSE, MBE, MABE and MAPE values are 0.930, 0.964, 0.3358 MJm−2day−1, 0.8175 MJm−2day−1 and 19.30%, respectively. The ANN models appear auspicious for estimating the Global Solar Radiation in the locations where there are no solar radiation measurement stations.
Food Delivery System using Servicenow

In this paper we clearly discussed how a tool is used to create a application, how secure the application and how efficiently it is used by the customer. we developed an application for ordering food in our college canteens due to heavy rush in the college break time. Due to this application student can deliver the food very fastly. By using this application every customer can track their food details easily by using ServiceNow catalog stages.
Tren dan Peluang Cross-Platform Mobile App untuk Developer Pemula

The development of cross-platform based mobile applications has grown rapidly in the last five years. From a developer's point of view, the many technologies that must be studied make them confused about which programming language to master because it will correlate with the time required and technology adoption by the industrial world. From an industry point of view, the challenge faced is determining the right framework or programming language and tools for their application. It also correlates with development time and costs, as well as finding the best talent with the technology. The purpose of this paper is to provide insight, trends and perspectives to new programmers who want to start a career and industry related to technology used in cross-platform mobile applications by looking at the results of surveys conducted by Stackoverflow, SateOfJS and Ionic Framework for the past 5 years. So this will help new programmers and industry in choosing the right technology and framework. The author found that currently JavaScript has mastered the frontend, backend and test tools. Regarding cross-platform frameworks, we find the Ionic Framework, React Native to be the most widely used.
Investigative Journalism in Portugal, Brazil And Angola:A Comparative Study

Investigative Journalism consists ofspecialized news articles that verse on the exposure of erroneous situationsin search of the truth.It is an extremely valuable form of journalism, as these news reports are frequently controversialand inconvenient but of great public interest.More often than not, they bring to light issues that involve serious crimes, corporate wrongdoing or political corruption.This study examinesand contrasts investigative journalism in Portugal, Brazil and Angola, members of the Community of Portuguese-speaking countries, by carrying out a content analysis of twoinvestigative news articlesfrom each country considering their codes of ethics.Complementary interviews to journalists from these countries revealed their perception of the relevance of stories in the media and compliance with the codes of ethics.This study shows that investigative journalism differs from country to country due to the political background of the country, the existence of overt or covert censorship,the working environments of the journalists and their security.