Reviewerly/exHarmony huggingface dataset:
Centroid method for vowel space determination

The present report is about a new methodological approach for the description and categorization of vowels in different languages.In this report we will concentrate on American English and Greek.Our methodology is based on determining vowel centers and measuring their locations for the corner vowels.Vowel centers were determined by comparative computation of the linear average values and the centroid values for the first two formants and plotting these results.The results of our methodology indicate the following: 1) centroid measurements give precise depiction of vowel characteristics, 2) centroid measurements appear constant and these values are not subject to variability, 3) the overall shape of the vowel space maintains a constant shape, regardless of the formant frequency values of the respective languages.
THE NIGERIAN SCAM 2.0 How an improved online scam trick made an unsuspecting Dutch man over 20,000 euros poorer

&#x0D; &#x0D; &#x0D; &#x0D; This paper studies a case of Nigerian scam experienced first-hand by its author. On Tuesday July 10, 2018 I received a friend request on Facebook from someone called Robert Batterman, apparently an elderly London lawyer. I didn’t know the man, but I saw that Batterman was also a friend of two of my trusted Dutch Facebook friends at the time, so it seemed fine and I accepted the friend request. Later, I was sent another message via Messenger from this Batterman in Dutch talking about “something important to discuss with you”.&#x0D; A Dutch Facebook friend got a similar message, but this time about “the late Alain Schaap”. We both realized that this must be a Nigerian Scam. I decided to find out some more about this British lawyer and posted a warning about this scam on the Internet the next day. Three weeks later I received an e-mail from a Dutch man who told me he saw the warning a little too late. He had already lost a considerable amount of money and was prepared to tell me what happened.&#x0D; &#x0D; &#x0D; &#x0D;
Determination of movement profiles based on open-source data from social media

Some crime cases cannot be investigated due to the discrepancy between their socially harmful nature and the level of intervention required to investigate them. Investigative approaches in connection with special collection methods of open-source data from social media could provide information that can usually only be obtained through measures with strong encroachments on fundamental rights. Social media offer an approach for law enforcement to quickly and directly access a large amount of openly accessible personal data of the suspect users. This contribution focuses on the acquisition of open-source data from online users to determine movement profile. To this end, 90 digital identities were observed in their social media lives over 20 days. During the observation period, 4,186 contributions were recorded in five online services and then evaluated. A geotag was used for 834 entries and the location could be designated as known for 696 entries. The open-source data from social media is suitable to determine movement profiles of the suspects. Much of the open-source data recorded in this investigation could be used to create a movement profile for the corresponding digital identities. The results indicate that Instagram is currently best suited for creating movement profiles. Snapchat also offers great potential for creating movement profiles. User accounts can be easily assigned to users via Instagram in particular. While Facebook is only suitable to a limited extent, Twitter and YouTube are ruled out for the desired goal.
Convolutional neural networks for solving computer vision problems

This article provides an overview of the main methods of solving computer vision problems of classification, segmentation and image processing, which are implemented in CV systems. Computer vision systems are programmed to perform highly specialized tasks, capable of detecting objects during identification, reading serial numbers, and searching for surface defects. When applying deep learning methods in CV systems, their processing speed on large data sets and the accuracy of image classification/segmentation are significantly increased. Artificial vision systems are able to identify individual pixels according to the relevant features during processing, provide a high-quality result in pattern recognition, image restoration, and fitting part of the image. Although some computer vision algorithms were developed to simulate visual perception, a larger number of proposed methods are able to fully process images and determine their characteristic properties. The scope of application of CV systems will continue to expand, as the need for artificial intelligence systems is growing rapidly. The purpose of this article is to provide a structured review of computer vision technologies based on their advantages and disadvantages. The work summarizes the types of CV-systems with artificial intelligence according to the spectrum of their applications, highlights the main problematic areas of their research, such as recognition, identification and detection. The article reviews convolutional neural networks (CNNs), which are successfully applied to the analysis of visual images in deep learning. CNN architectures in some cases outperform artificial neural networks in classification tasks by their performance. Currently, convolutional neural networks are the main tool for classification and recognition of objects, faces in photographs, recognition of video and audio materials. This paper provides a comparative analysis of well-known CNN models: LeNet 5, AlexNet, VGGNet, GoogLeNet, ResNet and their effectiveness in CV systems. Approaches to the modeling of architectures of convolutional neural networks are proposed, which will allow, in the future, to solve the problem of classification in tasks for computer vision, thereby increasing their performance, accuracy and quality of processing.
Pedestrian Attribute Recognition Method Based on Multi-source Teacher Model Fusion

Existing pedestrian attribute recognition (PAR) methods usually use deep models to achieve attribute classification. However, the attribute recognition models trained on the public datasets have poor generalization ability and cannot be applied to complex scenarios. Also, through the traditional multi-label classification framework and a single network model, it is difficult for different attribute features to be effectively represented and fused. Aiming at the above problems, this paper proposes a novel knowledge distillation framework based on the fusion of multi-source prior teacher models. Focusing on the diversity of datasets, architectures and knowledge, different model training schemes are designed. For ensuring the diversity and accuracy of teacher models, this paper selects models through adaptive scoring mechanism and finally adopts active learning mechanism to achieve closed-loop model optimization. Tested on four common PAR benchmark datasets, experimental results show that under the condition that the complexity of the model is unchanged, the mean accuracy is improved by 2% to 5%, compared with the baseline model.
A Study on Customer Satisfaction of “MRF Tyres’’ at Coimbatore City

From the study of MRF Tires' clients have needs and goals, but the company's service to them at the showroom could be better. In order to reach the broadest possible market segment, MRF TYRES should consider the services offered by showrooms, in my view, based on the project. According to Coimbatore Town, the market is enormous and consumers and other newcomers choose MRF Tires since they are an established brand with a long history of success. Almost everyone prefers MRF tyres over those from other companies.
Adoption of Social Media in Investment Decision At Stock Market: A Qualitative Analysis Among Nepali Investors

The importance of social media has increased among investors due to the instant availability of information on a real-time basis. The adoption of social media even increased heavily during the COVID-19 pandemic. The reliability of the posts related to the stock market is the concern; nevertheless, follow them to track the stock market trend. The Nepalese stock market investors found to follow the posts, opinions, and views on social media but are reluctant to follow blindly. Similarly, the Nepalese investors have partial faith in the specialized group formed on social media, and found to be attached to the group to get information. But the investors filter the information as per their knowledge and necessity.
REFLECTION AS A QUALITY FOR EFFECTIVE PROFESSIONAL ACTIVITIES AND SELF-DEVELOPMENT

Modern innovative learning technologies are guided by the reflexive processes of the subject. In the process of professional training, a person is formed as a professional, which becomes possible only taking into account personal factors that subsequently determine the development of professional reflection. Reflection is defined as a necessary component of the cognitive procedure and an important characteristic of the individual. The development of reflection in future psychologists is one of the urgent problems in the modern educational process.&#x0D; This article presents an analysis of the results of a stating experiment on the development of reflection in future psychologists to identify their abilities for analysis and introspection, professional and personal self-development. In order to achieve the goals of the desired problem, we have identified applicable methods that allow us to determine the levels of development of reflection in future psychologists by components. The methods presented in the article allow us to further develop an educational and methodological complex for the development of reflection in future psychologists.
IMPACT OF EMBEDDED CLS ON EYE TRACKING REPLICATION

Using different programming languages when software advancement is a familiar method in current software advancement. Nevertheless, using various languages that can hinder developer capacity is not widely known. This research simulated an unplanned controlled study examining the adoption of various languages in the situation of a directory programming task. Participants in this study were given programming tasks written in Java and one of three SQL-like embedded languages. Simple “SQL” over authority, “Java” program only, and a more Java-like hybrid embedded language. Furthermore, to transcribe the responses to the online quest and the participators' “task” solutions, the participators' eye movements were also recorded with an eye tracker.&#x0D; “Eye Tracker” or in this study call as “Eye-Trc” is the methodology of the study of software development that has developed nowadays and grants more in-depth info about how developers accomplish programming tasks. This Eye-Trc method is used as a data collection method in this study. Eye-Trc data was get by thirty-one participators (university background and Industrial Background) for different programming tasks. To analyze the impact of inter-group inconstant and professional experience and in-group “task” variables on the dependent variable Time in completion, this study used a mixed model ANOVA. The outcome of this study indicates that an important impact on productivity was not found, this is different from the initial research because of the language used.&#x0D; However, the same effect was found from the participators' expertise in programming activity indicating that more competent programmers were easy to full fill “polyglot programming tasks” more efficiently. In addition, it was raised that participators viewed the specimen code with the same proportion (time) for bringing “task” reckless of skills or language alternative provided. dominant-stage exploration management also remains mostly consistent over the experiences or language alternatives. Overall, it can be concluded that the programming stage of the linguist doesn’t have an important impact. The top-stage strategies that participators used came to be identical reckless of the language alternative presented to them. As a suggestion for future research, the impact of various characteristics of polyglot programming languages should be studied in depth for the conclusions reached to remain correct across various polyglot programming contexts.
CREDENTIAL ANALYSIS FOR SECURITY CONFIGURATION ON CUSTOM ANDROID ROM

Android is an operating system with open source and consists of several layers, with the different layers its duties and responsibilities. Various parties in the customization chain such as device vendors such as Samsung, Xiaomi, Oppo, Huawei, and others, operators such as Telkomsel, Smartfren, XL, etc., and hardware manufacturers can customize one or more layers to adapt devices for different purposes, such as supporting specific hardware and providing different interfaces and services.&#x0D; The purpose of this study was to investigate systematically for any inconsistencies that arose as a result of the processes involved in this study and to assess their various security implications. This research runs DroidDiff to perform a substantial-balance diverse investigation on images collected by the analytical methodology. DroidDiff found a lot of differences when it comes to the selected features. The method used in this study is the method of five differential analysis algorithms. As a result, by comparing the security configurations of similar figures, important security changes that could be accidentally introduced during customization can be found.&#x0D; The results show that DroidDiﬀ can be used by vendors to check the configuration of various security features in a given image. DroidDiff will extract those features from the image, and compare them to other image configuration sets, then DroidDiff will flag the inconsistent ones for further investigation by vendors who have the source code and tools to check their effect. For future work, improvements to DroidDiﬀ to more accurately detect risky inconsistencies are highly recommended. Improving DroidDiff will help reduce the number of false positives and determine risky configurations more accurately.
Individual Innovativeness Levels of Science Teacher Candidates

This study is intended to detect the level of individual innovativeness among science teacher candidates and to demonstrate whether levels of individual innovativeness differ based on different variables like gender, grade level, reception or lack of preschool education and daily time spent on the internet. Survey model, one of quantitative research models, was used in this study. The sample this research is 154 science teacher candidates studying at a state university in eastern Turkey. In this research, Individual Innovativeness Scale has been used as a data collection tool. It was observed in the study that majority of science teacher candidates are individually innovative at medium level and that they could be placed in the category of “questioning” people as far as their individual innovativeness are concerned. As a result of this research, it is seen that male teacher candidates are more resistant to innovations compared to female ones. Moreover, it has been observed in the study that reception or lack of preschool education did not have an impact on the individual innovativeness, and that the more time teacher candidates spend on the internet, the less their individual innovative levels are.
Factors affecting education for Vietnamese youth today

The development history of countries in any era shows that youth people always hold an important position and role in the development of society.Today, along with the promotion of economic growth, the opposing sides of the market economy, international economic integration, and the movements of ideas and foreign cultures have greatly influenced the mind: Thoughts, feelings, and responsibilities of the youth generation towards the task of national construction and defense.Therefore, more than ever, Vietnam must take care of the education and training of youth people so that they can truly be the main army in the cause of national construction and development; consider it one of the top tasks, because it is directly related to the future of the country.The article uses methodological materialism and synthesis of methods, analyzes, compares, and evaluates the factors that directly affect moral education for youth people, thereby proposing solutions to improve the quality of life in youth education to meet the national development requirements in the current period.
PEMODELAN DATA CURAH HUJAN DI KOTA LANGSA DENGAN MODEL ARIMA

The aim of this research is to provide the results of ARIMA modeling on rainfall data in Langsa City in 2017-2021. The initial stage of ARIMA modeling is the identification of data stationarity. Meanwhile, stationarity in the mean can be done with data plots and ACF forms. Identification of ACF and PACF forms from data that is already stationary is used to determine the order of the alleged ARIMA model. The next stage is parameter estimation to see the suitability of the model. The diagnostic check process is carried out to evaluate whether the residual model meets the white noise requirements and is normally distributed. The Ljung-Box test is a test that can be used to validate white noise requirements. Rainfall data forms a stationary time series. Furthermore, from the model fit test it was found that the MA(1) model was suitable for predicting the model. Meanwhile, AR(1) and ARMA(1,1) are not used to predict because they do not meet the model fit test. The model obtained with the MA(1) model is as follows, namely .
Developing teamwork skills beyond cross-cultural barriers: a case study for engineering students in higher education

In 2013, our university has implemented a new educational model that puts team projects at the core of all BSc programmes, requiring that students develop teamwork skills. On top of this, in 2018, our Chemical Science &amp; Engineering BSc has become an English-taught, international programme. In consideration of this challenging transition, we have developed additional training to facilitate students' acquisition of knowledge, skills, tools, and attitudes to aid conscientious intercultural teamwork. For this, it is paramount that students become aware of, and learn to appreciate, differences in the educational and cultural backgrounds of themselves and their peers. Concurrently, students should practice what they have learned and adjust their behaviour when appropriate. In this paper, we share our experiences, best practices, and lessons learned. More specifically, our study: i) explores which factors are key to a successful intercultural team, ii) investigates how diversity in teams can be cherished and used for the benefit of the team, its members, and its goals, and iii) how these teamwork skills can effectively be taught in engineering programmes. Building on this, the paper describes how the new curricular education has been designed, what is taught, and how an inclusive, regardful, and pleasant atmosphere has been created for the intercultural project teams.
Language Acquisition On Early Deaf Children With Cochlear Implants In Inclusion Kindergarten

Deaf children have problems in language acquisition due to hearing loss. Early use of cochlear implants can help deaf children listen and learn language and speech. This study aims to determine how language acquisition in early deaf students uses cochlear implants in an inclusive kindergarten in Bandar Lampung. This research is qualitative descriptive research. The methods of collecting data use interviews, observations, and documentation. The results showed that maximizing and familiarizing the hearing function can improve language acquisition. The use of cochlear implants accompanied by oral methods and rhythm sound awareness exercises assists in acquiring phonological, morphological, and semantic (linguistic awareness). Schools use the principle of learning by doing and integrating programs at home so that the process is more natural. In addition, it takes time for children to get accustomed to hearing and repeating what they hear. So it can conclude that using cochlear implants accompanied by the proper method can help the language acquisition of early deaf children.
Development of Tactil Audio Media For Low Vision Students

This study aims to develop a valid and effective audio tactile learning media to improve the learning achievement of students with visual impairments, especially low vision. The development model used is the 4D model (Define, Design, Develop, and Disseminate). Data collection techniques include observation, interviews, documentation, and tests. This study uses a quantitative approach as a data analysis technique. The product developed is a set of learning media consisting of audio media and tactile media for mathematics statistics courses. Audio media in the form of power point video containing sound and supported by several tactile media such as colored dice, coins, colored coins, number cards, bridge cards and colored cubes. The results of expert validation tests carried out on the developed instruments are categorized as valid and effective.
PENGARUH PENGGUNAAN MEDIA BINGKAI 10 TERHADAP PEMAHAMAN PART-PART-WHOLE PADA ANAK USIA 6-7 TAHUN (STUDY EKSPERIMEN DI BKB PAUD ANGGREK KELURAHAN MUNJUL, KECAMATAN CIPAYUNG, JAKARTA TIMUR)

AbstrackThis study aims to obtain empirical data on the effect of Ten Frame Media usedto understand Part-part-whole in 6-7 Years old at in Munjul Village, Cipayung Subdistrict, East Jakarta.The method used is kuantitatif research with experiment approach and the research design is True Experimental with Two Group Pre-test and Post-test Design (technique of pre-test and post-test with two groups randomized).The population in this study were all students aged 6-7 years which is a group of early childhood in the Munjul Village. The sample in this study is children aged 6-7 years in early childhood education for School Readiness Group (KeMaS) with a sample of 15 children in the experimental group and 15 children in the control group, which was taken by using simple random cluster technique.Data collection tools of Variable Y (Part-part-whole Understanding) is done using techniques of observation checklist. The analysis technique used is the t-test for small samples are not correlated. Based on the results of hypothesis testing using t-test is obtained price thitung1 = 22, 5 (comparative test of pre-post test Experimental Group), thitung2 = 8, 90 (Comparative test of pre-post test control group), and thitung3 = 30, 79 (Comparative test of post-post-test Experiment-Control Group), a price table = 1, 70, and dk = 28 at the significant level ? = 0.05. From these results it can be concluded that thitung ttable, so this study reject H0 (Zero Hypothetical) and receiving Ha (Alternative Hypothesis). This study therefore implies that the use of 10 frames media significant effect on the understanding part-part-whole in children aged 6-7 years. The more often a child at the age of 6-7 years using the media frame 10, then the better the understanding of the part-part-whole. Keywords: Ten Frame Media, Counting Principles, Part-part-whole