Reviewerly/exHarmony huggingface dataset:
Bosnian Vowels Analysis Using Formant Frequencies

One way for analysis of vowels in any language is an analysis using formant frequency analysis. The Bosnian language has five vowels and those are a, e, i, o, u. The research was conducted in such a way that words with a minimum of two identical vowels per word were selected for each vowel. Several samples were then collected that recorded each of the words, and then those words were analyzed in PRAAT software. The total number of samples was 1050, twenty-one subjects were included, twelve females and nine males. Each of them recorded ten words for each of five vowels, therefore fifty words by each subject. The outcomes are based on related articles and dissertations, recognition, and analysis of vowels. Recognition was based on the statement, reading the literature, that each person has a narrow band of F4 formant values that should identify the person. And the analysis part was done by comparing formant values. Also, the work was based on gender differences for this analysis, as well as some other small observations, for example, the difference between native and other speakers of the Bosnian language.
From Concepts to Action

Four leading practitioners give their varied perspectives on the actions necessary to accelerate digital learning. Henry Patrinos describes how World Bank programs can support country scale-up of digital learning and the importance of innovating policy and teaching methods to deliver better learning outcomes. Tom Wambeke explains how brick-and-mortar institutions can use technology to create a new learning experience and encourages all stakeholders to take a learning-by-doing approach and form strategic partnerships to promote digital acceleration. Foster Ofusu discusses the importance of supporting innovations in sub-Saharan Africa and how youth using technologies to self-teach could help them leapfrog economic development through job creation. Donald Clark describes how artificial intelligence as the new user interface is the future of higher-quality, more interactive and data-driven digital learning. The four influencers agree on the vast potential of digital learning, through continuing advances in technology, increased analysis of now mass collections of learning data, and imaginative partnerships that conceive new learning innovations.
CLOUDSME

Presently, SMEs are finding it difficult to adopt cloud services for their businesses due to various service providers offering similar services. In addition, little work has been carried out in regards to the cloud services adoption process by SMEs. In this chapter, the authors propose CLOUDSME, a novel framework that aids in the adoption process of SaaS cloud services. Accordingly, they implement a decision support system, which includes an ontology of cloud services knowledge within the proposed framework. Analytical hierarchical process (AHP) is used to determine the weight of each cloud service attribute, and a benchmark is set to determine the acceptability of each cloud service based on its ability to meet the acceptable benchmark for each criteria. It can also help in a healthy competition to improve the quality of service among cloud service providers. The CLOUDSME semantic model will guide SME owners in answering user requirements towards decision making in the cloud service adoption process.
Estrategia foro chat para la prosecución de actividades académicas ante el confinamiento por el COVID-19

espanolLa paralizacion de las actividades presenciales academicas en todos los niveles y modalidades del sistema educativo en Venezuela, contrajo que los recintos universitarios para el desarrollo de su agenda del lapso 2020-I reprogramaran su planeacion, replanteandose otras formas de continuar desde la virtualidad. El articulo muestra la metodologia cualitativa empleada para la sistematizacion de experiencias, del foro chat Coloquio LII-UBA como estrategia implementada por la Direccion de Investigacion de la Universidad Bicentenaria de Aragua durante el proceso de confinamiento. Concluyendo que brinda un espacio interactivo para la planeacion, difusion de tematicas o realizacion de eventos protocolares a traves del trabajo colaborativo eficaz EnglishThe paralysis of face-to-face academic activities at all levels and modalities of the educational system in Venezuela, contracted that the university campuses for the development of their agenda for the period 2020-I reprogram their planning, rethinking other ways of continuing from virtuality. The article shows, using the qualitative methodology the systematization of experiences, from the chat forum Colloquium LII-UBA strategy developed by the Research Directorate of the Bicentennial University of Aragua during the confinement process. Concluding that it provides an interactive space, for planning, dissemination of themes, or conducting protocol events through effective collaborative work
Mobile Application for Test Control of Knowledge Among Mechanical Engineering Students

The article analyzes mobile technologies that are the most widely used in a modern technical university’s educational process. It is noted that under certain conditions for test control on mobile devices, technologies that are limited to the use of students’ mobile devices will be preferred. It is emphasized that for the successful mobile devices use in the knowledge test control of students. It is necessary to consider the features of practical classes on professional and practical training of future engineers. Such features include the widespread use of graphic materials at all training stages and holding a part of the practical training in specialized classrooms without access to mobile Internet. The mobile application SSUquestionnaire-m is described, which allows one to consider the features of engineering training listed in the article and ensure participation of all students in the classroom in control activities at the same time.
Writing Our First Bit of Code

It's time to dive in and write some code! Whoosh needs a website, and we're going to build it for them. Since this is the first time we're coding, at least in the context of this book, I'm going to spend a bit of time talking about how and where we write the code.
Confidence Enhances the Decodability of Predictions in Parietal Cortex During Spatial Decision-Making

The ability to make predictions often involves some degree of uncertainty—a key determinant of confidence. Here, we aimed to assess whether predictions are decodable in partially-observable environments where uncertainty exists regarding the one’s state, and if this information is sensitive to confidence produced by state uncertainty. We employed functional magnetic resonance imaging based, partially-observable maze navigation task in which subjects predict upcoming scenes and report their confidence regarding these predictions. Using a multi-voxel pattern analysis, we successfully decoded both scene predictions and subjective confidence from activities in localized parietal and prefrontal regions. We also estimated the confidence in their belief about where they were in the maze. Importantly, prediction decoding accuracy varied according to subjective scene confidence and estimated state confidence in the superior parietal lobule and supramarginal gyrus, respectively. These results suggest that prediction in uncertain environments depends on the prefrontal-parietal network within which prediction and confidence interact.
IEX Group, Inc.

At the start of 2018, Brad Katsuyama and his leadership team at the Investors Exchange (IEX) had much to be proud of - and much to worry about - as they contemplated the rollout of their latest innovation in equity trading. In a trading landscape increasingly defined by issues related to speed, IEX was building a reputation as a thoughtful innovator trying to level the playing field for its clients. In many ways, the short history of IEX and the longer history of its founders were at the center of the often baffling and complex repercussions associated with the advent of electronic trading. Now, IEX was about to implement a “Crumbling Quote Remove Fee” that would help protect clients from predatory trading strategies designed to exploit speed-induced market distortions. Katsuyama and his colleagues hoped this would increase fairness in the market, but at the same time were concerned about copycats, potentially negative reactions from market participants, and whether the new Remove Fee would actually accomplish its goal of creating fairer markets. Excerpt UVA-F-1876 Sept. 13, 2019 IEX Group, Inc. The U.S. stock market was now a class system, rooted in speed, of haves and have-nots. The haves paid for nanoseconds; the have-nots had no idea that a nanosecond had value. The haves enjoyed a perfect view of the market; the have-nots never saw the market at all. —Michael Lewis Innovate or die. . . .
An Automated Tool To Detect Sentiment-Based Spam for Text Using Machine Learning

The proliferated growth of the Internet and social media through mobile has made the researchers and research community understand the requirements of a Graphical User Interface (GUI), Web Application, and a Mobile Application. This has motivated me to design and develop and graphical user interface for simple spam detection which can detect spam/ham text. A Corpus generator is the web application that will generate a labeled corpus of spam/ham. The mobile application will perform sentiment-based spam classification for the convenience of the user. To result generated by this approach is around 97% of accuracy. For the convenience of the user, a web application corpus generator was designed and implemented. The next phase of work is sentiment classification. This has been performed with the help of Vader sentiment analyzer and then the sentiment-based spam classification was performed with binary label classifiers and multilabel classifier (oneVsRest Classifier) with traditional classifiers. The multilabel classifier has produced a high result of 78.9% of accuracy.
A. Block in the artistic world of V. Pelevin

The article considers the various methods used by V. Pelevin in order to address the legacy of A. Blok. The writer shows that Pelevin quotes and refers to Blok indirectly, through the presence of his mythologemes in the modern mass consciousness. Through quotation, the reader is led into discourses formed in the cultural and informational space from which the imagery and problems of Pelevin’s works are constructed. This analysis of Pelevin’s references to Blok shows how in contemporary collective consciousness the various elements of Blok’s heritage have, for the main part, taken on displaced or reduced meanings. For the first time we note the typological similarity of the writer’s creative strategies with the modernist assimilation of the new media reality. Pelevin’s direct reference to Blok's article “Poetry of Charms and Spells” and its artistic interpretation confirms that Pelevin’s work has a consistent and central educational aim: the exposure of manipulative technologies and deconstructing of “zombification”. This somewhat complicates the conventional view of Pelevin’s work as being a variant of postmodernism, a literary movement usually considered to lack any such positive programme.
Double Image Segmentation Algorithm for Tick-Mark Recognition of Analog Instrument

Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries.As many factors result in the tick-mark distortion in the sampled image such as the generally stained surface of instrument, or/and reflection and refraction of light, the accuracy and robustness of tick-mark reading are directly or indirectly weakened.Double image segmentation algorithm (DISA) is employed to solve this problem which makes coarse segmentation with structural parameters of instruments, and makes accurate segmentation with gray difference between tick-marks and their background.Tests have been conducted with 640 * 480 pixel industry camera and 4 kinds of pointer pressure meter, and the results show that read-out rate of tick-mark in pointer meter reached 100% at sufficient illumination and 76% at insufficient illumination for air packed instrument.In addition with oil packed instrument, DISA still experienced 64% recognition in comparison with 0 success record by Hough Transformation.
IntelliAssistant – AI based Personal Assistant

AI (Artificial Intelligence) based chatbots are all around us whether reserving hotel rooms, finalizing pizza orders, and arranging appointments and they are quite inescapable. Thus, understanding how these chatbots work and what ability they possess is essential to grow business, increase customer satisfaction, and to save money and time for both customers and employees. Chatbots are widely used for advertising, customer services, and entertainment. In this research, an effort has been made to provide a platform for the users to ask queries and gather information about a specific topic from the google and represent it through various audio or textual messages. The existing chatbots (like Alexa and Siri) do not learn and improvise their dataset over certain questions being asked by the users. Sometimes chatbot is unable to answer certain queries because of the limited dataset. Therefore, the users get irritated. In this research, we aimed to develop chatbot that take unanswerable queries as a feedback and store the query and its answer in its dataset. So that when it come across the same query in future, it would be answerable to that query making it more efficient and problem solving for the user. Earlier chatbots used pattern matching techniques which were quite simpler. In this research, the concepts of Machine Learning and Artificial Intelligence are been used. Later in the paper, we have explained the applications of a chatbot and lastly, wrapped the paper with a conclusion.
Recent Survey on Voice to Text Conversion

In todays modern search engines, such as Google, we can see a recording system that converts speech to text and then searches for it. This is a type of information retrieval system. Speech is an important part of human life because it allows two or more people to communicate with one another. Speech to text conversion is necessary because some people are unable to openly communicate with others, and speech to text conversion aids communication. Speech to text translation allows deaf people to communicate as well. Giving speech as input and waiting for the machine to provide the text as output is how speech translation is achieved.&nbsp; Speech to Text conversion is a critical research and application area in the field of multimedia interfaces. This paper discusses the different forms of speakers and the measures involved in speech recognition. This paper also discusses how speech recognition strategies are classified.
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning

In this paper, we present a novel multi-modal deep neural network architecture that uses speech and text entanglement for learning phonetically sound spoken-word representations. STEPs-RL is trained in a supervised manner to predict the phonetic sequence of a target spoken-word using its contextual spoken word’s speech and text, such that the model encodes its meaningful latent representations. Unlike existing work, we have used text along with speech for auditory representation learning to capture semantical and syntactical information along with the acoustic and temporal information. The latent representations produced by our model were not only able to predict the target phonetic sequences with an accuracy of 89.47% but were also able to achieve competitive results to textual word representation models, Word2Vec & FastText (trained on textual transcripts), when evaluated on four widely used word similarity benchmark datasets. In addition, investigation of the generated vector space also demonstrated the capability of the proposed model to capture the phonetic structure of the spoken-words. To the best of our knowledge, none of the existing works use speech and text entanglement for learning spoken-word representation, which makes this work the first of its kind.
Graph-based motion prediction for abnormal action detection.

Abnormal action detection is the most noteworthy part of anomaly detection, which tries to identify unusual human behaviors in videos. Previous methods typically utilize future frame prediction to detect frames deviating from the normal scenario. While this strategy enjoys success in the accuracy of anomaly detection, critical information such as the cause and location of the abnormality is unable to be acquired. This paper proposes human motion prediction for abnormal action detection. We employ sequence of human poses to represent human motion, and detect irregular behavior by comparing the predicted pose with the actual pose detected in the frame. Hence the proposed method is able to explain why the action is regarded as irregularity and locate where the anomaly happens. Moreover, pose sequence is robust to noise, complex background and small targets in videos. Since posture information is non-Euclidean data, graph convolutional network is adopted for future pose prediction, which not only leads to greater expressive power but also stronger generalization capability. Experiments are conducted both on the widely used anomaly detection dataset ShanghaiTech and our newly proposed dataset NJUST-Anomaly, which mainly contains irregular behaviors happened in the campus. Our dataset expands the existing datasets by giving more abnormal actions attracting public attention in social security, which happen in more complex scenes and dynamic backgrounds. Experimental results on both datasets demonstrate the superiority of our method over the-state-of-the-art methods. The source code and NJUST-Anomaly dataset will be made public at https://github.com/datangzhengqing/MP-GCN.
Disrupted, Ruptured, and in Between: Ruins of Schooling and Utopian Learning Society

This chapter presents an overview of the disrupted school-centered education system and the emerging new normal in the coronavirus disease (COVID-19) pandemic. Enforced social distancing and school closures made technology-enhanced education a reality on an unprecedented scale for the first time in history. Various information and communication technologies provide a solution to the global education crisis. The author revisits the landmark 1972 Faure report to remind us that recognizing fast technological development was the background of the learning society proposal. Technology always brings about a profound challenge in education. The concept of a learning society has paved the unavoidable direction of educational change from universal schooling to lifelong learning. While there are different understandings of lifelong learning and learning society, the author points out that we are indeed in the middle of the second educational revolution heading toward the lifelong learning era. The author argues that we need to take advantage of the COVID-19 pandemic to make creative and imaginative policy proposals, which can accelerate the realization of the learning society.
KEMAMPUAN MENULIS PUISI BEBAS DENGAN MENGGUNAKAN METODE KONTEKSTUAL PADA SISWA KELAS VIII SEMESTER GENAP SMP NEGERI 9 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

This study aims to determine the level of students' ability to write free poetry using contextual methods, and to describe the ability to write free poetry using contextual methods of class VIII students in the even semester of SMP Negeri 9 Bandar Lampung Academic Year 2018/2019. This study used descriptive qualitative method. Measuring the students' ability to write free poetry is measured by a written test. The research subjects were one class VIII of SMP Negeri 9 Bandar Lampung Academic Year 2018/2019. The technique used is the tech nique of collecting data using the main techniques, and supporting techniques. Research instruments using assignments in written form and data analysis techniques using qualitative techniques.The ability of students to write free poetry with indicators of authenticity of pronunciation, strength of imagination, accuracy of diction, and exposures and imagery can be summed up as sufficient levels of ability. It can be stated that the number of students classified as very good ability level is 4 people. Then those who are classified as good levels of 8 people, which are classified as sufficient level of ability 8 people, and those classified as a level of ability less than 8 people. So, the overall score of students of SMP Negeri 9 Bandar Lampung in class VIII amounted to 1885 and the average value obtained was 67. From the above conclusions that the ability of students to write free poetry with the overall indicator can be said to be sufficient ability level
A framework of Forensic Accounting Analytics and Pension Fund Administration in Selected Administrations in Liberia

The peril of fraud, corruption, and misfeasance are commonplace and are at the increase globally and, indeed, in Liberia. Thus, forensic accounting or forensic auditing has emerged as a result of the surge in fraud. Accordingly, the aim of this conceptual dissertation / thesis paper is three-fold. First, this paper sought to absorb the art of forensic thinking among auditors; second, it aimed at stimulating and promoting the understanding of basic forensic skills; and third, it aimed at expanding the stock of literature in forensic accounting and audit. Given this broad spectrum of objectives of this paper, characteristics of a forensic auditor were examined and skills as well as objectives of forensic audit were discussed. In the discussion of the application of forensic audit, both reactive and proactive accounting were examined. This is followed by a highlight on the distinction between statutory audit and forensic audit. Detection techniques and steps in conducting forensic audit are also discussed. We shall also conclude that forensic audit practice can reduce the incidence of fraud even in Pension Fund. This paper is part of my PhD requirements at Charisma University, SCHOOL OF BUSINESS AND PUBLIC POLICY. I wish to record my thanks and indebtedness to Prof. Ndedi Alain, and Prof. Simon Akinteye whose inspiration, dedication and helping nature provided me the kind of guidance necessary to this project. Dr. Linus Enobi Akepe your immense wealth of knowledge was an inspiration to me to write this piece of work.
Queues, Logging, Emails

We're in the final code chapter, and we've come a long way to get here. Continuing in the theme of the last chapter, we're going to round out our journey by creating another three libraries: this time for queuing slow operations, logging errors, and sending emails.
Investment Portfolio and Risk Analysis

This chapter properly concludes the book by covering a comprehensive framework for investment portfolio and risk analysis. Thus far, we have developed several machine learning models and deep learning models for robust investment management decision-making. Throughout the book, we alluded to investing in markets involving risk. In this chapter, we present the primitives of investment risk and performance analysis using the Pyfolio package. To install Pyfolio in the Python environment, we use pip install pyfolio, and in the conda environment, we use conda install -c conda-forge pyfolio. Before you install pyfolio, first install theano. To install theano in the conda environment, we use conda install -c conda-forge theano.