Reviewerly/exHarmony huggingface dataset:
Evaluating the Bantu parametric grammar in grammatical framework using Swahili grammar

Monologue grammar development for under-resourced languages is very slow and laborious (involves creating rules to generate the computational grammar to enable analysis and synthesis of the language(s) in question). However, the need for computational grammar continues to soar in this technology-driven economy for information synthesis and analysis. This paper aims to set up an experiment in the grammatical framework (GF), to evaluate the efficiency and effectiveness of the Bantu parameterized grammar to bootstrap a new grammar for Swahili. The goal is to investigate how this approach of bootstrapping grammar in a multilingual environment is effective and efficient in reducing the development effort. The bootstrapping approach uses the GF morphology-driven approach to develop portable and unique segments of Swahili grammar. The bootstrapped Swahili grammar resulted in a shareability of 100%, 71.11%, 68.75%, and 91.41% at category linearization, paradigms, parameters and syntax rules respectively. The portability was at 15.55%, 18.57%, and 8.59% at paradigms, parameters and syntax rules, respectively. Finally, this paper contributes in: first, provides an approach that leads to an effective and efficient method for developing and bootstrapping computational grammar for the under-resourced Bantu languages. Secondly, the research provided a Swahili grammar.
КОНЦЕПЦИИ ИНФОРМАЦИОННОГО ОБЩЕСТВА КАК ТЕОРИИ СОЦИАЛЬНОГО ЗНАНИЯ

Abstract. The article highlights and explores two main approaches to the study of modern society: the concept of post-industrial society and the concept of the information society. It is established that in the concepts of the information society, the main attention is paid to understanding information and knowledge as the main strategic resource of society. In the work, the concepts of the information society are considered as theories of social knowledge.
A Survey of Ontology-based Information Extraction for Social Media Content Analysis

The amount of information generated in the Web has grown enormously over the years. This information is significant to individuals, businesses and organizations. If analyzed, understood and utilized, it will provide a valuable insight to its stakeholders. However, many of these information are semi-structured or unstructured which makes it difficult to draw in-depth understanding of the implications behind those information. This is where Ontology-based Information Extraction (OBIE) and social media content analysis come into play. OBIE has now become a popular way to extract information coming from machine-readable sources. This paper presents a survey of OBIE, Ontology languages and tools and the process to build an ontology model and framework. The author made a comparison of two ontology building frameworks and identified which framework is complete.
A Method for SMS Spam Message Detection Using Machine Learning

In recent years, it has become increasingly common for individuals to connect with their relatives and friends, read the most recent news, and discuss various social topics by using online social platforms such as Twitter and Facebook. As a consequence of this, anything that is considered spam can quickly spread among them. The identification of spam is widely regarded as one of the most significant problems involved in text analysis. Previous studies on the detection of spam concentrated primarily on English-language content and paid little attention to other languages. The information gathered by the University of California; Irvine served as the basis for the development of our spam detection technology (UCI). In this research study, the effectiveness of various supervised machine learning algorithms, such as the J48, KNN, and DT, in identifying spam and ham communications is investigated. SMS spam is becoming more widespread as the number of individuals who use the internet continues to rise and an increasing number of businesses disclose their customers' personal information. E-mail spam filtering is the progenitor of SMS spam filtering, which inherits a significant number of its features. We evaluate the proposed method based on accuracy, recall, and precision. Experiments showed that DT has obtained higher accuracy compared to other machine learning classifiers.
Generating Melodies from Melodic Outlines Towards an Improvisation Support System for Non-musicians

One promising approach for supporting non-musicians’ music improvisation is to enable them to input the coarse shape of melodies they want to play. Therefore, drawing a melodic outline is adopted as an input method of existing improvisation support systems. However, generating melodies from melodic outlines with deep neural networks has not been fully exploited. In this paper, we report an attempt to generate melodies from melodic outlines using a convolutional neural network. Given a melodic outline, it is reduced with two convolution layers and then coverted to a sequence of notes with two deconvolution layers. Objective and subjective evaluations imply that our model with sufficient filter width and channels could generate melodies of moderate, close quality to human melodies.
¡Ay, Mija!: My Bilingual Summer in Mexico by Christine Suggs

Reviewed by: ¡Ay, Mija!: My Bilingual Summer in Mexico by Christine Suggs Amanda Toledo Suggs, Christine ¡Ay, Mija!: My Bilingual Summer in Mexico; written and illus. by Christine Suggs. Little, 2023 [336p] Trade ed. ISBN 9780316591966 $24.99 Paper ed. ISBN 9780316591928 $17.99 E-book ed. ISBN 9780316591942 $9.99 Reviewed from digital galleys R Gr. 7-10 The summer after tenth grade, Christine—along with a tiny spectral version of her, presumably an inner voice—leaves her family in Texas for a multi-week vacation staying at her grandparents’ in Mexico, basking in the sun, visiting historical sites, eating delectable cuisine, and finding her place within her family. With little in driving plot, this graphic novel memoir is more a deep reflection on family and the difficulties of growing up, making art, fearing her own sexuality, and judging her body. It is particularly adept at capturing the feeling of being in between two cultures that will likely be familiar for first and second generation children of immigrants; Christine doesn’t quite feel Mexican enough to claim it as part of her identity, but she also feels incomplete without it. Not speaking the language of her grandparents but still feeling and yearning for connection is a primary example of this struggle: “It’s strange being so loved by someone you can’t even have a full conversation with . . . but nice.” Suggs also effectively conveys the cognitive dissonance of being in a family where most beloved family members live in fat bodies, yet still hearing about “la pansa” and fat phobic comments that are deeply ingrained in the culture. With the color palette limited to blues and oranges, Suggs’ digital illustrations vividly depict emotions, making the characters distinct and the desert [End Page 235] landscapes of Mexico rich and alive, clearly conveying love for both. An epilogue with pictures provides more insight into Suggs’ life and family. For young artists eager for more graphic novel memoirs by artists, pair with Liz Montague’s Maybe An Artist (BCCB 10/22). Copyright © 2023 The Board of Trustees of the University of Illinois
Proof-oriented programming for high-assurance systems

Proof-oriented programming is a paradigm where programs are designed and developed along with mathematical proofs of their correctness and security. In recent years, proof-oriented programming has reached a point where not only several high-assurance software components have been developed using it, but these components have also been deployed in production systems. In this talk, I will provide an overview of this paradigm in the context of F*, a proof-oriented programming language developed at Microsoft Research. I will briefly discuss several critical software components, developed from scratch in F*. These components are already deployed in production systems such as Windows Hyper-V, the Linux kernel, Firefox, and mbedTLS. As a complementary methodology for retrofitting strong, formal guarantees on existing legacy services, I will present the Zeta framework. Zeta works by running a small, proven correct monitor in a trusted execution environment validating responses from the service. The key idea is that we only need to develop the monitor using proof-oriented programming once-and-for-all, while the large legacy service remains untrusted. I will illustrate Zeta by sketching an example of how we can make a concurrent, high-performance, key-value store "zero trust" and argue that this step incurs modest software engineering effort and modest runtime overheads.
PELATIHAN E-LEARNING DASAR BAGI GURU

Teaching and learning activities in the classroom now have many challenges and demands. One of the challenges teachers face is the increasing amount of information that students can access, leaving teachers far behind in updating the information that students access. Therefore, it seems that teachers are forced to balance by looking for additional information using various media such as internet access and the latest reference books. After completing the basic e-learning training with a theoretical and practical approach for high school economics teachers in Yogyakarta, the trainees are expected to be able to compile online e-learning learning materials using the Edmodo platform. The adoption of the Edmodo platform is expected to make teachers not only rely on one learning model using conventional models. Based on the description of the implementation of the training activities, it can be concluded that the participation of the training participants is 90%. Participants actively ask and listen to the material given until the e-learning training ends. Participants hope a similar program will be repeated with other skills training programs.&#x0D; Keywords: Training, e-learning, Edmodo
PENGARUH PELAKSANAAN PEMBELAJARAN DARING TERHADAP HASIL BELAJAR PESERTA DIDIK KELAS V DI SDN NO. 30 KASSI KABUPATEN JENEPONTO

This study aims to 1) describe the implementation of online learning on the learning outcomes of fifth grade students at SDN No. 30 Kassi Jeneponto Regency 2) Describe the Effect of Online Learning Implementation on the Learning Outcomes of Class V Students at SDN No. 30 Kassi Jeneponto Regency. This research is an expost facto quantitative research with a simple linear regression research design. This research was conducted at SDN No. 30 Kassi Jeneponto Regency. The population in this study amounted to 37 students and the sample amounted to 37 students. The instrument used was a questionnaire in managing data, analyzed using descriptive analysis and inferential analysis. Based on the results of data analysis, the conclusions obtained are, 1) the implementation of online learning for fifth grade students at SDN No. 30 Kassi, Jeneponto Regency, has been carried out moderatly. 2) learning outcomes of fifth graders at SDN No. 30 Kassi Jeneponto district, is in the mdium category 3) There is a positive influence on the learning outcomes of fifth graders at SDN No. 30 Kassi Jeneponto Regency, shows that the online learning variable has a positive coefficient value of 0.212, has a t-count value of 2.351&gt; t-table 2.028, and a significant value of 0.024 &lt;0.05.). This means that the online learning variable has a positive and significant effect on learning outcomes. Proving that H_0 is rejected and H_a is accepted. And the contribution of the influence of the implementation of online learning on the learning outcomes of the fifth grade students of SDN No. 30 Kassi Jeneponto Regency that is equal to 63.6% while the rest is influenced by other variables. The implications of this research can be seen that the implementation of online learning for fifth grade students at SDN No. 30 Kassi Regency has a positive influence, it is quite good, so it needs to be improved so that in the future all fifth grade students will not only be dominated by a few people, but all students will be able to get higher achievements both in terms of cognitive.
Scene Text Detection Using Pyramid-Based Text Proposal Network and Transformation Component Network

Text identification and Text Recognition in Natural Scene Text importance is growing attention in recent research.Scene text contains a wealth of semantic information that can be used in a broad spectrum of vision-oriented applications.Text Recognition and Detection in the image of a natural scene play a vital role in accessing information and understanding the environment.Scene text orientations comprise horizontal, arbitrarily, curved, and vertically oriented scene texts.In this study, a Mask Scoring R-ConvNN based text detection strategy in this research can reliably detect curved text and multi-oriented from real input images.For learning good capability mask scores for the expected instance, a Mask Scoring R-ConvNN network frame is employed in this model.The mask scoring system corrects the misalignment between mask quality and score while also improving instance segmentation performance by emphasizing more accurate mask predictions.Using a Pyramid-based Text Proposal Network (PBTPN) and a Transformation Component Network (TCN) to improve the Feature extraction capabilities of Mask Scoring R-ConvNN for text identification and segmentation.Studies showed that Pyramid Networks are more successful at suppressing false alarms triggered by text-like backgrounds.By employing testing on a scale and with a single model, this strategy can obtain higher performance on Multi Oriented text and curved text benchmark datasets.
Testing Thermostatic Bath End-Scale Stability for Calibration Performance with a Multiple-Sensor Ensemble Using ARIMA, Temporal Stochastics and a Quantum Walker Algorithm

Thermostatic bath calibration performance is usually checked for uniformity and stability to serve a wide range of industrial applications. Particularly challenging is the assessment at the limiting specification ends where the sensor system may be less effective in achieving consistency. An ensemble of eight sensors is used to test temperature measurement stability at various topological locations in a thermostatic bath (antifreeze) fluid at −20 °C. Eight streaks of temperature data were collected, and the resulting time-series were processed for normality, stationarity, and independence and identical distribution by employing regular statistical inference methods. Moreover, they were evaluated for autoregressive patterns and other underlying trends using classical Auto-Regressive Integrated Moving Average (ARIMA) modeling. In contrast, a continuous-time quantum walker algorithm was implemented, using an available R-package, in order to test the behavior of the fitted coefficients on the probabilistic node transitions of the temperature time series dataset. Tracking the network sequence for persistence and hierarchical mode strength was the objective. The quantum walker approach favoring a network probabilistic framework was posited as a faster way to arrive at simultaneous instability quantifications for all the examined time-series. The quantum walker algorithm may furnish expedient modal information in comparison to the classical ARIMA modeling and in conjunction with several popular stochastic analyzers of time-series stationarity, normality, and data sequence independence of temperature end-of-scale calibration datasets, which are investigated for temporal consistency.
Модерното изкуство – двуликият Янус

Russian Constructivists and “De Stijl” don’t make autonomic Art, but are looking for a universal principle for total reorganization of the human environment; in such way they hope to remove the chaos and ugliness. Beginning with enlarging the boundaries of Art, they are coming to the idea of Art without Aesthetics.
Наблюдаваният човек

The article considers some modes of artistic performance as a reaction against the present technological determinism. This creative resistance has a kind of game-based, competitive element – “to outwit the system” – which is a form of play. This line emerges as a kind of sociological and aesthetic strategy in some new art movements, an artistic reflex in defense of the "right to remain invisible". Briefly: the article will trace how the observed person (homo vigilatus), playing (homo ludens), consolidates with a new discourse his role as a creator (homo creator).
Development of Applied Technology Courses in Colleges and Universities Oriented by Professional Needs——Taking C Programming as an Example

With China entering a new stage of development, industrial upgrading and economic structure adjustment are accelerating, and the demand for technical and skilled talents in all walks of life is becoming more and more urgent.It is imperative to cultivate applied technical talents.A large number of ordinary undergraduate colleges and universities are changing to applied talents.At present, ordinary undergraduate colleges and universities in the process of application-oriented transformation urgently need to develop a number of application-oriented courses with the guiding ideology of "carrying out teaching activities according to the requirements of real environment, learning, doing and mastering real skills".At this stage, in order to implement the transformation from national ordinary undergraduate colleges and universities to applied technology colleges and universities, many colleges and universities have embarked on the road of transformation.In order to effectively cultivate applied talents, we need to be in line with social needs.This paper describes the development process and methods of Applied Technology Courses in Colleges and Universities Based on professional needs and taking C programming course as an example.A scientific and perfect development process and methods of applied technology courses can develop more and better excellent courses, help ordinary undergraduate colleges and universities quickly transform to applied technology colleges and universities, and help cultivate applied technology talents.
Teachingworkers’ resource-based thinking psychology

The article discusses the psychological features of the resource capacity of teaching worker, necessary for the implementation of professional activities. To study resource-based thinking, a comparative analysis of pedagogic (N = 110) and medical (N = 106) workers was carried out. The criterion for such a division included belonging of these workers to the type of socionomic professions. In an empirical study, data collection was carried out using the methods of “Thinkingresourcefulness assessment” (Irina Serafimovich, Yelena Medvedeva, Natal’ya Surina); “Individual well-being subjective diagnostics” (Rail’ Shamionov, Tat’yana Beskova); “5 Facet Mindfullness Questionnaire” (Ruth A Baer, Gregory T. Smith, Jaclyn Hopkins, Jennifer Krietemeyer, Leslie Toney; adaptation: Nadezhda Yumartova, Nataliya Grishina); “Diagnostics of the level of emotional burnout” (Viktor Boyko). In the course of the study, the hypothesis was verified that the formation of resource-based thinking is significantly influenced by the peculiarities of the lifestyle and organisation of the subject's work activity. It has been established that there are differences in the peculiarities of the manifestation of resource-based thinking among pedagogues and medical workers. The resource-based of professional thinking among the socionomic type professions’ representatives is closely interrelated with the work experience, the peculiarities of the professionalisation process. Lifestyle features, a variety of hobbies, leisure organisation features, mum's education and the number of hobbies in childhood influence the development of resource-based thinking. Resource-based thinking is considered as a professionally important quality and is revealed as one of the key metacognitive characteristics that ensure both professional success and psychological well-being. A high level of development of resource-based thinking positively affectsthe level of subjective well-being of an individual. The importance of resource-based thinking as a factor in the prevention of emotional burnout is substantiated.
Teknik Pengenalan Wajah Menggunakan Model Ekstraksi Fitur Citra Digital

The use of information technology has been widely encountered in our daily life. Not only to process data, to record tools but also to identify and recognize human characteristics. This is called biometric technology. This technology identifies the unique and permanent parts of the human body such as fingerprints, eyes, and the shape of the human face. To identify and recognize human faces, use facial image processing and analysis, such as determining the component regions of the human face and their characteristics. Splitting the face image into facial components, then extracting it into the features of the eyes, nose, mouth, and chin. The distance between each component is measured, then combined with other features to form facial semantics. The face can be categorized into the T Zone which consists of the forehead, eyes, nose and mouth. Eyes, nose, and mouth are the most unique facial components for facial recognition because they have unique facial recognition features. For the distance of the eye and mouth triangle feature, J1 – J3 shows that there are 140 unique data with the percentage value is 93.33%. The feature distance J4 – J6 also shows that there are 126 unique face images with a percentage value of 85%. Keyword: face image, eiginfaces, image extraction, face recognition.
The effectiveness of electronic mind maps in the visual thinking skills of fifth-grade literary students in history by checking the validity of the following null hypothesis

- There is no statistically significant difference at the level (0.05) between the average grades of the female students of the experimental group who studied on the control group who studied the usual method of choosing visual thinking. The research sample of 60 female students, (30) of the group, where the students of the experimental group studied the chapters (first, second, third) of the history book for the fifth grade of literature at two sessions per week using electronic mental maps and studied the students of the control group the same subject in the same place and duration but in a normal way. The researcher used the spss statistical program and excel to calculate t-test for two independent samples of pearson's correlation coefficient, The effectiveness of the wrong alternatives, and the A-Kroneach factor, showed the results: 1. The students of the pilot group who studied using the electronic mental mapping strategy outperformed the students of the control group who studied in the usual way. In these results, the researcher concluded the effectiveness of the strategy of electronic mental maps in the visual thinking skills of fifth-grade literary students, and recommended several recommendations, including the introduction of strategies that include images, drawings and charts in the teacher's manual, especially electronic mental maps . Key words : Electronic mind maps , Visual thinking skills
Designing Sounds Means Designing Relationships

In this article we propose the perspective of relationship as a conceptual approach to the discipline of sound design. Based on literature reviews and case studies, we state that making sound design means designing relationships, even before sounds, and we propose to include this expression in the current definitions of the sound design discipline. Moreover, we observe that sound design practices can be inscribed in more than one relational perspective, thus widening the scope of sound design possibilities. This multi-perspective view of sound as the barycentre of a relationship system becomes a useful analysis and design tool: it allows sound designers to investigate the complex problems of contemporary projects, aiming toward fruitful and unexpected design directions.