Reviewerly/exHarmony huggingface dataset:
Application of particle swarm optimization with ANFIS model for double scroll chaotic system

The predictions for the original chaos patterns can be used to correct the distorted chaos pattern which has changed due to any changes whether from undesired disturbance or additional information which can hide under chaos pattern. This information can be recovered when the original chaos pattern is predicted. But unpredictability is most features of chaos, and time series prediction can be used based on the collection of past observations of a variable and analysis it to obtain the underlying relationships and then extrapolate future time series. The additional information often prunes away by several techniques. This paper shows how the chaotic time series prediction is difficult and distort even if Neuro-Fuzzy such as Adaptive Neural Fuzzy Inference System (ANFIS) is used under any disturbance. The paper combined particle swarm (PSO) and (ANFIS) to exam the prediction model and predict the original chaos patterns which comes from the double scroll circuit. Changes in the bias of the nonlinear resistor were used as a disturbance. The predicted chaotic data is compared with data from the chaotic circuit.
Information System for Providing Food Services Based on Mobile Application Using Flutter Framework

Foodservice is a food management that is handled by individuals and companies that provide food somewhere to meet the various needs of its providers based on orders.The progress of information technology is growing rapidly.One of them is a smartphone or better known as a smartphone, which uses the operating system like a computer.Al Iman Boga has a website-based foodservice booking information system that is required to open a browser and is less efficient.For the public to use food services, this research requires the development of a mobile-based food service information system.In the development of mobile applications is widely facilitated with frameworks, one of which is flutter.Flutter has advantages over other frameworks, one of which is super smooth animation.If there is no excessive element, then mobile applications developed using flutter can constantly run 60-120fps for using its own rendering system.In flutter, it can download android APK and iOS IPA files.This application is built with the Waterfall method with several stages: analysis, design, Coding, and Testing.The results of this study show that the application is following the purpose and design.With this application, it can help the provision of food service in building mobile applications.The system helps in the transaction process of food catering sales in Al Iman Boga.
A Straightforward and Efficient Instance-Aware Curved Text Detector

A challenging aspect of scene text detection is to handle curved texts. In order to avoid the tedious manual annotations for training curve text detector, and to overcome the limitation of regression-based text detectors to irregular text, we introduce straightforward and efficient instance-aware curved scene text detector, namely, look more than twice (LOMT), which makes the regression-based text detection results gradually change from loosely bounded box to compact polygon. LOMT mainly composes of curve text shape approximation module and component merging network. The shape approximation module uses a particle swarm optimization-based text shape approximation method (called PSO-TSA) to fine-tune the quadrilateral text detection results to fit the curved text. The component merging network merges incomplete text sub-parts of text instances into more complete polygon through instance awareness, called ICMN. Experiments on five text datasets demonstrate that our method not only achieves excellent performance but also has relatively high speed. Ablation experiments show that PSO-TSA can solve the text’s shape optimization problem efficiently, and ICMN has a satisfactory merger effect.
Segmentation of Microscope Erythrocyte Images by CNN-Enhanced Algorithms

This paper presents an algorithm for segmentation and shape analysis of erythrocyte images collected using an optical microscope. The main objective of the proposed approach is to compute statistical object values such as the number of erythrocytes in the image, their size, and width to height ratio. A median filter, a mean filter and a bilateral filter were used for initial noise reduction. Background subtraction using a rolling ball filter removes background irregularities. Combining the distance transform with the Otsu and watershed segmentation methods allows for initial image segmentation. Further processing steps, including morphological transforms and the previously mentioned segmentation methods, were applied to each segmented cell, resulting in an accurate segmentation. Finally, the noise standard deviation, sensitivity, specificity, precision, negative predictive value, accuracy and the number of detected objects are calculated. The presented approach shows that the second stage of the two-stage segmentation algorithm applied to individual cells segmented in the first stage allows increasing the precision from 0.857 to 0.968 for the artificial image example tested in this paper. The next step of the algorithm is to categorize segmented erythrocytes to identify poorly segmented and abnormal ones, thus automating this process, previously often done manually by specialists. The presented segmentation technique is also applicable as a probability map processor in the deep learning pipeline. The presented two-stage processing introduces a promising fusion model presented by the authors for the first time.
Motivations and Experiences in a Distance Learning-Based Degree Programme: A Case Study from a Community College

Due to the development of the technologically-assisted teaching and learning approaches and the change of learning behaviours of students, many students decided to start their education in a distance learning-based degree programme at a community college in the United States. Based on the lens of the Social Cognitive Career Theory, the researcher collected qualitative data from 46 traditional-aged students who are currently enrolled in a distance-learning degree programme at a community college. One research question was concerned, which was why would high school graduates (i.e. traditional-aged students) decide to enrol in a distance learning-based associate degree programme at a community college instead of a traditional senior university? The results indicated that financial considerations, and academic and career interests were the biggest concerns of these groups of participants. The outcomes of this study provided the human resources, curriculum development, and workforce plans for government agencies, policymakers, department heads, school leaders, and NGO leaders to reform their policy and regulation in order to absorb the advantages of these groups of future workforces.&#x0D; &#x0D; Received: 29 November 2020 / Accepted: 25 January 2021 / Published: 5 March 2021
How can DB Systems be ready for privacy regulations

Personal data usage and collection are activities that used to growunrestricted. However, several laws in the physical world ensure rights to peo-ple regarding their privacy and information usage. In the last years, legislatorspassed many laws, regulations, and acts to replicate these rights to the digitalworld. By doing so, new constraints, rights, and duties appear on every compo-nent of the data usage and collection workflow. In this paper, we introduce someof these laws, describe some of the rights that highly impact the current designof DBMSs, discuss the challenges raised by these regulations, as well as relatedworks and research opportunities.
Uniform Interpolants in EUF: Algorithms using DAG-representations

The concept of uniform interpolant for a quantifier-free formula from a given formula with a list of symbols, while well-known in the logic literature, has been unknown to the formal methods and automated reasoning community for a long time. This concept is precisely defined. Two algorithms for computing quantifier-free uniform interpolants in the theory of equality over uninterpreted symbols (EUF) endowed with a list of symbols to be eliminated are proposed. The first algorithm is non-deterministic and generates a uniform interpolant expressed as a disjunction of conjunctions of literals, whereas the second algorithm gives a compact representation of a uniform interpolant as a conjunction of Horn clauses. Both algorithms exploit efficient dedicated DAG representations of terms. Correctness and completeness proofs are supplied, using arguments combining rewrite techniques with model theory.
Students’ Perspectives: E-Learning During Covid-19 Pandemic

The implementation of e-learning during Covid-19 Pandemic raises pro and cons particularly among the university students such as internet access, budget and quota, as well as overload tasks. However, others think e-learning is the appropriate one to establish the learning process during physical distance regulation as the prevention of Covid-19. This research aims to describe the student perspectives on the implementation of e-learning during Covid-19 Pandemic. The design of this study was quantitative research. 189 university students in Riau, Indonesia participated by snowball sampling technique. The research collected data by employing a questionnaire in the Google form and sharing it through What Sapp. The data was analyzed by the descriptive statistics. The research revealed the implementation of e-learning among the university students was not optimal. The synchronous and asynchronous as the interaction schemes were established separately. Only 10.58% students had experienced both schemes. Furthermore, internet access, and internet quota and budget were the major inhibiting factors. This research expects the educators and stakeholders evaluating the implementation of e-learning and provides comprehensive trainings for educators on e-learning.
Autonomous Capability Evaluation of Ground-Attack UAV Based on Cloud Model and Combined Weight Theory

The evaluation for autonomous capability of ground-attack unmanned aerial vehicle (UAV) comes from the demand of reality, which determines the operational use of airborne equipment authority. It essentially entails a multicriteria decision-making process accounting for evaluation model and uncertainties. Firstly, as for the construction of evaluation model, the index model is proposed from four aspects of observation capability, decision capability, action capability, and security capability, namely, ODAS, which analogizes cognitive behavior mechanism of human based on airborne equipment; then, to solve uncertainties of randomness and fuzziness in the process of autonomous capability evaluation, a cloud model approach is proposed, which expresses uncertainties by the certainty degree distribution. Finally, the cloud model-based approach is tested by evaluating typical UAVs and comparing with Hopfield neural network method. The results show that the evaluation of the autonomous capability based on the cloud model is accurate and more representative than the Hopfield neural network method.
On the impact of knowledge-based linguistic annotations in the quality of scientific embeddings

In essence, embedding algorithms work by optimizing the distance between a word and its usual context in order to generate an embedding space that encodes the distributional representation of words. In addition to single words or word pieces, other features which result from the linguistic analysis of text, including lexical, grammatical and semantic information, can be used to improve the quality of embedding spaces. However, until now we did not have a precise understanding of the impact that such individual annotations and their possible combinations may have in the quality of the embeddings. In this paper, we conduct a comprehensive study on the use of explicit linguistic annotations to generate embeddings from a scientific corpus and quantify their impact in the resulting representations. Our results show how the effect of such annotations in the embeddings varies depending on the evaluation task. In general, we observe that learning embeddings using linguistic annotations contributes to achieve better evaluation results.
Foreign book science: analysis of research approaches (on the example of translated monographs)

The fourth article in a series of publications devoted to the current state of affairs and prospects for the development of book history sources, used in educational programs in Russian and foreign universities, substantiates the need to analyze monographic publications. The works prepared in the framework of the American-Canadian, Polish, and French bibliological schools in the second half of the XX - early XXI centuries and translated into Russian are explored in detail. Despite the inconsistency of some publications, it is concluded that multiple research approaches (functional, systematic, semiotic, medialogical) coexist productively, allowing to unfold the heuristic potential of the discipline from different perspectives. It is a continuation of the article «Publications on book science and history of the book, used in the educational process abroad. Part 1. Study materials»
Optimization of Loneys Solenoid Design Using a Dynamic Search Based Technique

Particle swarm optimizer is one of the searched based stochastic technique that has a weakness of being trapped into local optima. Thus, to tradeoff between the local and global searches and to avoid premature convergence in PSO, a new dynamic quantum-based particle swarm optimization (DQPSO) method is proposed in this work. In the proposed method a beta probability distribution technique is used to mutate the particle with the global best position of the swarm. The proposed method can ensure the particles to escape from local optima and will achieve the global optimum solution more easily. Also, to enhance the global searching capability of the proposed method, a dynamic updated formula is proposed that will keep a good balance between the local and global searches. To evaluate the merit and efficiency of the proposed DQPSO method, it has been tested on some well-known mathematical test functions and a standard benchmark problem known as Loney’s solenoid design.
А Systemic and Structural Analysis of the Component Composition of the Content of Foreign-Language Education

The aim of the article is to undertake a systemic and structural analysis of the component composition of the content of foreign-language education. Achieving this aim contributes to solving a serious problem of conceptualising the need for a coherent modelling of all components of the content of foreign-language education in pursuit of its global target: a gradual development of students as multicultural language personalities. The aim of the article defines the content and sequence of the used works: the concept of the integrity of the didactic notion “educational content”; research papers on its design, implementation and quality assessment; the study of the emotional component of the content of foreign-language education and its role in the integral achievement of educational objectives. The study highlighted the systemic, structural, functional, personal, activity, value and emotional approaches to identifying the nature and determining the component composition of the content of education. The knowledge-paradigm concept of educational content and the views of the leading methodologists on the problems of the component composition of the content of foreign-language education were compared. Despite the differences in some positions, the attitudes were identified that allowed the authors to determine the set of components of the content of foreign-language education which are invariably tracked in various systems and concepts. Each of them necessarily contains “knowledge” (ideal), procedural, creative and attitude components. The controversial nature of some issues, related to the subject matter of the article, did not prevent the authors from tracing the key idea for this study: in addition to “intellectual” components, the content of foreign-language education also includes an emotional constituent. Based on this provision, the educational content structure has been improved. The modernized one includes a number of “intellectual” components (subject, procedural reproductive and procedural creative) and an emotional one. The novelty of this point of view lies in the embodiment of a kind of an extra-linguistic factor in the content of foreign-language education. It reflects the researchers’ recognition of the need for an emotionally charged education that forms the value competence of students. The practical significance of the presented materials is that they can be used to make changes and additions to the content of foreign-language education that are aimed at forming the experience of students’ emotional and value attitude to the world around them.
Deteksi Sampah pada Real-time Video Menggunakan Metode Faster R-CNN

Garbage is a never-ending problem in human life. Many of the problems caused by waste actually stem from human ignorance of the environment. Several solutions have been proposed to solve and avoid problems from the waste, one of which is making waste detection that can be applied directly to certain devices. This study aims to apply an object detection method in the form of Faster R-CNN to detect and classify at a speed that allows computers to detect trash objects directly through real-time video. The test results in this study indicate the method used can detect trash objects in 100 images with an accuracy value of 74%, and to detect real-time video with video frame rates in the range of 1 frame per second (fps).
Lithogeochemical and Hyperspectral Halos to Ag-Zn-Au Mineralization at Nimbus in the Eastern Goldfields Superterrane, Western Australia

With new advances in rapid-acquisition geochemical and hyperspectral techniques, exploration companies are now able to detect subtle halos surrounding orebodies at minimal expense. The Nimbus Ag-Zn-(Au) deposit is unique in the Archean Yilgarn Craton of Western Australia. Due to its mineralogy, alteration assemblages, geochemical affinity, and tectonic setting, it is interpreted to represent a shallow water (~650 mbsl) and low-temperature (&lt;250 °C) volcanogenic massive sulfide (VMS) deposit with epithermal characteristics (i.e., a hybrid bimodal felsic deposit). We present a detailed paragenetic account of the Nimbus deposit, and establish lithogeochemical and hyperspectral halos to mineralization to aid exploration. Mineralization at Nimbus is characterized by early units of barren massive pyrite that replace glassy dacitic lavas, and underlying zones of polymetallic sulfides that replace autoclastic monomict dacite breccias. The latter are dominated by pyrite-sphalerite-galena, a diverse suite of Ag-Sb ± Pb ± As ± (Cu)-bearing sulfosalts, minor pyrrhotite, arsenopyrite, and rare chalcopyrite. The main sulfosalt suite is characterized by pyrargyrite, and Ag-rich varieties of boulangerite, tetrahedrite, and bournonite. Zones of sulfide mineralization in quartz-sericite(±carbonate)-altered dacite are marked by significant mass gains in Fe, S, Zn, Pb, Sb, Ag, As, Cd, Ni, Cu, Ba, Co, Cr, Tl, Bi, and Au. Basaltic rocks show reduced mass gains in most elements, with zones of intense quartz-chlorite-carbonate±fuchsite alteration restricted to thick sequences of hyaloclastite, and near contacts with dacitic rocks. Broad zones of intense silica-sericite alteration surround mineralization in dacite, and are marked by high Alteration Index and Chlorite-Carbonate-Pyrite Index (CCPI) values, strong Na-Ca depletion, and an absence of feldspar (albite) in thermal infrared (TIR) data. White mica compositions are predominantly muscovitic in weakly altered sections of the dacitic footwall sequence. More paragonitic compositions are associated with zones of increased sericitization and high-grade polymetallic sulfide mineralization. Chlorite in dacitic rocks often occurs adjacent to zones of sulfide mineralization and is restricted to narrow intervals. Carbonate abundance is sporadic in dacite, but is most abundant outside the main zones of Na-Ca depletion. Basaltic rocks are characterized by strongly paragonitic white mica compositions, and abundant chlorite and carbonate. Shifts from Ca carbonates and Fe-rich chlorites to more Mg-rich compositions of both minerals occur in more intensely hydrothermally altered basaltic hyaloclastite, and near contacts with dacitic rocks. Hanging-wall polymict conglomerates are characterized by minor amounts of muscovitic to phengitic white mica (2205–2220 nm), and an absence of chlorite and carbonate alteration.
Features of personality psychology

this article is about the features of personality psychology and the factors that study them. The article also discusses the different definitions of many scholars given to the concept of personality, their differential and integral ideas from each other. The scope of the subject is sufficiently enriched by the results of various studies and researches on the formation of personality psychology.&#x0D; KEYWORDS: personality psychology, research, features, definition by RS Nemov, research by Z. Freud, psychosemantic methods
The Implementation of Augmented Reality Hairstyles at Beauty Salons Using the Viola-Jones Method (Case Study: Eka Salon)

Augmented reality is the technology that superimposes a computer-generated digital content on a user's view of the real world in a real time so users can experience the real virtual objects. The use of augmented reality has spread into various industries, for an example in the fashion industry. One of fashion industry type is hairstyle industry. Eka Salon is a beauty salon that provides beauty treatments for women's hair care. This salon has a problem that customer are not satisfacted with the results of their new haircut because that doesnt match with their expectations. This can be seen from the results of observations at Eka Salon is resulted that 8 out of 15 interviewed customers were not satisfied with their new haircuts because it did not match the appearance in the catalog. In this research, an augmented reality hairstyles will be made that can visualize how the shape of the selected hairstyle by the customer without having to cut their hair first. The Viola-Jones method was chosen as the method used in this study because it has a high accuracy of 90% in face detection. The result of this research is that the Viola-Jones method can detect facial surfaces and generate a 3D hairstyle model distance to 100cm properly. The test of the acceptance level of this application is carried out by Eka Salon customers with an average percentage of 84.3%.
Using ELSA App in Speaking Classes: Students’ Voices

T Covid-19 has caused a sudden shift from face to face teaching method to online learning that requires teachers and lectures as well to utilize technology.It also has made a significant surge in usage of online learning applications, video conferencing tools and language apps since COVID-19.One of language learning apps which is used by university students is ELSA Speak App.Hence, in the present study, four classes of students from English Education study program were surveyed to elicit their perceptions toward the use of ELSA App.By using a questionnaire adopted from Martins, Levis and Borges (2016), it is revealed that the majority of the students agreed that ELSA Speak App is a useful tool to improve their speaking ability particularly pronunciation aspect