Reviewerly/exHarmony huggingface dataset:
Upaya Intervensi Guru Untuk Meningkatkan Tindak Tutur Ekspresif Siswa Kelas IVB SDN 4 Tonja, Kecamatan Denpasar Utara Dalam Proses Belajar Mengajar

The purpose of this study was to obtain an objective description of the form of teacher intervention and the types of expressive speech acts of students in the teaching and learning process in the classroom. The theory used in this research is pragmatic theory and theory of intervention. Based on data analysis, the results of the research in cycle I are described as follows. 1) Teachers are more dominant in using preventive interventions, while psychotherapy and psychosocial use are not too often used in the learning process. 2) In the learning process, expressive speech acts were found in the form of complaints, expressing confusion, agreeing, and expressing annoyance. Students tend to convey expressive speech that expresses a sense of complaint. 3) Students 'expressive speech was born because the teacher intervened, but the effect of the intervention did not bring about positive changes in students' expressive speech. While the research results in cycle II are described as follows. 1) Teachers use preventive interventions less often, while psychotherapy and psychosocial use are more frequently used in the learning process. 2) In the learning process, expressive speech acts were found in the form of apologies, expressing requests, approving, and expressing optimism. Students seldom deliver expressive speech that expresses a sense of complaint. 3) Students 'expressive speech was born because the teacher intervened, and the effect of the intervention brought about positive changes in students' expressive speech
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts

Requirements often specify the expected system behavior by using causal relations (e.g., If A, then B). Automatically extracting these relations supports, among others, two prominent RE use cases: automatic test case derivation and dependency detection between requirements. However, existing tools fail to extract causality from natural language with reasonable performance. In this paper, we present our tool CiRA (Causality detection in Requirements Artifacts), which represents a first step towards automatic causality extraction from requirements. We evaluate CiRA on a publicly available data set of 61 acceptance criteria (causal: 32; non-causal: 29) describing the functionality of the German Corona-Warn-App. We achieve a macro F_1 score of 83%, which corroborates the feasibility of our approach.
The film and the theater of panpsychism in 'Letters About the Theater' of L.N. Andreyev

In our research, we saw that Andreyev's assumptions were fulfilled - the film perfected the technique of depicting the action and the scene. The truth theater has replaced the incomprehensible naturalist theater with the new viewer. Enchanted theater is what makes everyone involved in a play - the writer, the stage, the theater and the audience. New Age viewers have to play offstage. In order for viewers to participate in a play, it must be responsive to new challenges - a more developed intellect, which gives the theater a representation of "intellectual experiences", or as Andreyev puts it: "the time of the drama of the Word has come. The body is surrendered to the film, and the soul and thought to the theater. (…) there is the subtlest crack of survival, almost like a dream of the soul, projection into the fourth dimension…" In further research into this topic it would be interesting to examine the extent to which today's participants in the drama of the Moscow Art Theater (the Hudozhestveny Theater) follow Andreyev's conception, as well as to look at the pro et contra views of contemporary playwrights on the theater of panpsychism.
Chaotic Based Grain 128-Bit Stream Cipher for Image Encryption

Secure transmission and storage of data are most important for a successful communication system. Cryptography protects the information so that the intruder cannot have access to the data of interest. There are various algorithms implemented to transform the information to be transmitted into cipher form so that it does not have any traces of its original form and can be protected from trespasser. Chaotic based Grain 128-bit is a stream cipher made up of a linear and a non-linear feedback shift registers, which is fed by a chaotic logistic map and a Boolean non-linear filter, which is fed by both LFSR and NLFSR. Key is generated using Chaotic based Grain 128-bit stream cipher and is used in the application for image encryption. The generation of the key is implemented on Xilinx ISE xc7a100t-3csg324 using Verilog code is also discussed. Analysis of the work is done by plotting a histogram of input, encrypted, and decrypted images.
New symmetries of Black-Scholes equation

This work presents the comparison study between neural super-twisting sliding mode control (NSTSM) and adaptive-network-based fuzzy inference system-STSM (ANFIS-STSM) algorithm of the doubly fed induction generator (DFIG) controlled by direct power control (DPC). The mathematical model of the three-phase DFIG has been described. The descriptions of the DPC strategy, NSTSM and the ANFIS-STSM algorithm have been presented. The DPC strategy with NSTSM and ANFIS-STSM has been described. The simulation studies of the DPC strategy with intelligent STSM algorithms have been performed, and the results of these studies are presented and discussed
The Comprehensive Review of Neural Network: An Intelligent Medical Image Compression for Data Sharing

In the healthcare environment, digital images are the most commonly shared information. It has become a vital resource in health care services that facilitates decision-making and treatment procedures. The medical image requires large volumes of storage and the storage scale continues to grow because of the advancement of medical image technology. To enhance the interaction and coordination between healthcare institutions, the efficient exchange of medical information is necessary. Therefore, the sharing of the medical image with zero loss of information and efficiency needs to be guaranteed exactly. Image compression helps ensure that the purpose of sharing this data from a medical image must be as intelligent as possible to contain valuable information while at the same time minimizing unnecessary diagnostic information. Artificial Neural Network has been used to solve many issues in the processing of images. It has proved its dominance in the handling of noisy or incomplete image compression applications over traditional methods. It contributes to the resulting image by a high compression ratio and noise reduction. This paper reviews previous studies on the compression of intelligent medical images with the neural network approach to data sharing.
Services, Launchers, and Components

In Android there are several ways that “jobs” can be tasked for a one-off or periodic running after the current activity closes. This chapter discusses the main approaches for this in Android.
PENERAPAN MODEL NUMBERED HEADS TOGETHER (NHT) UNTUK MENINGKATKAN HASIL BELAJAR IPS PESERTA DIDIK KELAS VI SD

The problem in this study is the learning process and learning outcomes of students in social studies learning in Class VI SD Negeri 81/II Muara Bungo is still low, this is evidenced by the results of preliminary observations made by researchers of 37 students only only 7 students (18.91%) who obtained value in the completion criteria. The reason is that teachers only use conventional approaches in the classroom, which causes the learning process and student learning outcomes to be low. The subjects of this study were students of class VI of SD 81/II Muara Bungo, amounting to 37 students. In the implementation of this study consisted of two cycles carried out by researchers. Each cycle consists of planning activities, implementation accompanied by observation and reflection in each cycle. This study aims to describe the application of the NHT model in improving the process and learning outcomes of social studies in SD Negeri 81/II Muara Bungo classes. The research data was collected through observation, documentation and test results. The results of the analysis of the research data indicate that the use of the NHT model can improve social studies learning outcomes of Class VI SD Negeri 81/II Muara Bungo. This can be seen from the results of the second cycle students' tests have reached KKM 75, seen in the learning outcomes of completeness of the learning outcomes of the first cycle is 29.72% in the second cycle increased to 83.78%.
Comprehension and explanation as an important philosophical-methodological problem

Addressing to the history of science and philosophy, this article analyzes the essence, matter and specificity of methods of comprehension and explanation, which are considered to be one of the most crucial issues of science. The article shons the dialectic interrelation of categories of comprehension and explanation. Besides, this work examines comprehension and explanation as scientific-philosophic methodological principle.
Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond

In this paper, we present Talaria, a novel permissioned blockchain simulator that supports numerous protocols and use cases, most notably in supply chain management. Talaria extends the capability of BlockSim, an existing blockchain simulator, to include permissioned blockchains and serves as a foundation for further private blockchain assessment. Talaria is designed with both practical Byzantine Fault Tolerance (pBFT) and simplified version of Proof-of-Authority consensus protocols, but can be revised to include other permissioned protocols within its modular framework. Moreover, Talaria is able to simulate different types of malicious authorities and a variable daily transaction load at each node. In using Talaria, business practitioners and policy planners have an opportunity to measure, evaluate, and adapt a range of blockchain solutions for commercial operations.
Manifestations of Fake News - Possible Legal and Policy Issues to Be Considered before Formulating Any Law in India

During this lockdown situation, we have witnessed array of rumors or fake news; from Amul Company shutting down its milk chilling centers to the effective use of ginger, lemon and honey to counter the virus or to dispersing or spraying of the medicine by helicopters. Clearly, the proliferation of inaccurate or misleading news is spiraling upwards, especially during COVID-19 Pandemic situation. Our mobile phones and social media accounts are flooded with fake posts, doctored videos and congenial but unverified theories (especially qua the origin of Corona Virus and its cure), which are quickly shared or forwarded, especially through Whatsapp, Tiktok and Facebook, and out of which some may tickle your fancies at one hand, but some may create tension and unrest amongst people at large. For instance, just couple of days ago, a video on social media went viral where the soldiers of two different armies were shown to be engaged in a provocative incursions and it was being claimed that Chinese soldiers are provoking the Indian army soldiers at the Ladakh Indo-China Border, but the original video was traced back to the year 2014 and pertaining to Arunachal Pradesh Border, though the Indian army has never avowed for the video as well. Such unverified claims or rumors are dangerous and have the ability to instill fear and terror in the minds of people and may cause chaos and disruption in the society and tensions between the countries.Hence, the question is that what is this concept of ‘Fake News’ and why it has assumed immense significance and it is also important to know that in what forms, it exists or reaches to us.
Reflection and Class Loading

Reflection is one of the many aces up the sleeve when it comes to taking apart Android applications and getting them running in a state that suits you. To put it simply reflection is an API that can be used to access, examine, and modify objects at runtime. This chapter covers these principles in more detail.
Towards optical quantum networks based on rare-earth ions and nanophotonics

Optical quantum networks for distributing entanglement between quantum machines will enable distributed quantum computing, secure communications and new sensing methods. These networks will contain quantum transducers for connecting computing qubits to travelling optical photon qubits, and quantum repeater links for distributing entanglement at long distances. In this talk I present implementations of quantum hardware for repeaters and transducers using nano-photonics and rare-earth ions, like ytterbium and erbium, exhibiting highly coherent optical and spin transitions in a solid-state environment. In particular, i discuss optically addressable single quantum bits with single shot readout based on ytterbium 171 atoms, and on-chip storage and processing of photons using erbium ensembles coupled to silicon photonics.
A REVIEW ON VEHICLE AGENT

An Augmented Reality Application for smartphones to guide people in ordinary maintenance of their vehicles anytime, anywhere.This application can bring an immersive experience to the people and can reduce the expenses of users for minor issues.We have built a chat bot module that understands the problem faced by the user and tells the respective solution.If the problem can be fixed by the user himself, the application will respond with the solution otherwise it will ask the user to contact a vehicle mechanic.It includes responses for almost all the warnings such as smoke, strange noise from car, key related problems etc.You can either write your question or simply hold down the button to speak you question.
A New Parallel Fuzzy Multi Modular Chaotic Logistic Map for Image Encryption

This paper introduces a new image encryption algorithm based on a Parallel Fuzzy Multi-Modular Chaotic Logistic Map (PFMM-CLM). Firstly, a new hybrid chaotic system is introduced by using four parallel cascade chaotic logistic maps with a dynamic parameter control to achieve a high Lyapunov exponent value and completely chaotic behavior of the bifurcation diagram. Also, the fuzzy set theory is used as a fuzzy logic selector to improve chaotic performance. The proposed algorithm has been tested as a Pseudo-Random Number Generator (PRNG). The randomness test results indicate that system has better performance and satisfied all random tests. Finally, the Arnold Cat Map with controllable iterative parameters is used to enhance the confusion concept. Due to excellent chaotic properties and good randomization test results, the proposed chaotic system is used in image encryption applications. The simulation and security analysis indicate that this proposed algorithm has a very high security performance and complexity
KEMAMPUAN MEMBACA PEMAHAMAN SISWA KELAS V SEMESTER GENAP SD NEGERI 1 GULAK GALIK TELUK BETUNG UTARA BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

This study discusses the problem of reading comprehension of students of SD Negeri 1 Teluk Betung Galik North Bandar Lampung 2018/2019 academic year. The ability to read comprehension in this study includes: (a) disclosure of the contents of the reading, themes, and facts; (b) the ability to retell; and (c) the ability to draw reading conclusions.&#x0D; This study aims to find out and describe how the level of reading comprehension of students. To achieve the objectives of the study, the authors used a descriptive qualitative method, while the data collection techniques were essay test techniques. The population in this study amounted to 30 students and the study sample was set at 30 people. The sampling technique used is the total sampling technique. Analyzing the data in this study is to use a percentage.&#x0D; Reading comprehension ability in fifth grade students in even semester SD Negeri 1 Teluk Betung Galik North Bandar Lampung 2018/2019 academic year obtained an average score of 69.99 this value is included in the criteria enough. Based on the aspects of the assessment, the value of reading comprehension in the aspects of the disclosure of reading content, themes, and facts is in the sufficient category with an average score of 61.66. The ability to read comprehension in the aspect of retelling ability is in a sufficient category with an average score of 66.66. The ability to read comprehension in the aspect of the ability to draw reading conclusions is in a good category with an average score of 83.33.&#x0D;
Credibility Analysis in Social Big Data

The concept of social trust has attracted the attention of information processors/data scientists and information consumers/business firms. One of the main reasons for acquiring the value of SBD is to provide frameworks and methodologies using which the credibility of online social services users can be evaluated. These approaches should be scalable to accommodate large-scale social data. Hence, there is a need for well comprehending of social trust to improve and expand the analysis process and inferring credibility of social big data. Given the exposed environment’s settings and fewer limitations related to online social services, the medium allows legitimate and genuine users as well as spammers and other low trustworthy users to publish and spread their content. This chapter presents an overview of the notion of credibility in the context of SBD. It also lists an array of approaches to measure and evaluate the trustworthiness of users and their contents. Finally, a case study is presented that incorporates semantic analysis and machine learning modules to measure and predict users’ trustworthiness in numerous domains in different time periods. The evaluation of the conducted experiment validates the applicability of the incorporated machine learning techniques to predict highly trustworthy domain-based users.
Research and Realization of Einstein Chess Game System and Autoplay Machine Automatic Game

Einstein Chess is a small game where winning chess depends on "luck". A good "luck" is supported by many complicated algorithms. One of the innovations of this article is to use TCP/IP socket technology to realize automatic computer game and provide higher efficiency for code testing.The second is that this article designs and implements three Einsteins game algorithms: a completely random chess strategy, a chess strategy based on a static evaluation function, and a dynamic chess strategy based on UCT. Experimental results show that the dynamic evaluation function based on UCT is better than the other two algorithms, and won the first prize in the 2020 Chinese University Student Computer Game Competition.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TELADAN DI UNIVERSITAS BANTEN JAYA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Banten Jaya University (UNBAJA) is one of the educational institutions engaged in technology and information, which part of the system has been computerized. But in development there is still a work system that is done manually. Data processing from information that is done manually can be said to be far from the goal, given the importance of effectiveness and efficiency of employee performance. Therefore, Banten Jaya University must be able to improve the quality and quality of employee performance by holding a Decision Support System using the simple addinue weight (SAW) method, which is a computer-based information system and also includes a system with a knowledge management basis, used to support decision making in an organization or company. The decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) can be run well. The development model used is Waterfall. The stage of the process of making a decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) begins with making a design, determining the flow of the work system, making a coding program, making a design view. The decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) uses a PHP MySQL database server. From the test results using the Black Box, the results show that the system testing decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) is successful and can be used and operated well.
A Study on Learning patterns of Reflexives ‘caki’ of Korean Language Learners in Taiwan

The aim of this study is to distinguish the types of errors in the Korean reflexive ‘caki’ on Korean learners in Taiwan and to reveal the patterns of acquiring them. To this end, 68 students of the Department of Korean Language and Literature at National Chengchi University in Taiwan participated in a grammar judgment experiment about the type of Korean reflexive ‘caki’. The result is that as Korean proficiency improved, the understanding of the Korean reflexive ‘caki’ also tended to improve. However, overall, it was found that it was difficult to acquire ‘caki’. In addition, learners in Taiwan had the greatest difficulty in acquiring the 1st binding of ‘caki’, and for the type of 1st blocking effect, they showed improvement only at the advanced level. Also, at first, they had difficulty in acquiring 3rd local binding and long-distance binding, although they showed the greatest improvement in the Korean language learning process. (Mokpo National University)
Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS

High image resolution is critical to obtain a good performance in many computer vision applications. Computational complexity of CNNs, however, grows significantly with the increase in input image size. Here, we show that it is almost always possible to modify a network such that it achieves higher accuracy at a higher input resolution while having the same number of parameters or/and FLOPS. The idea is similar to the EfficientNet paper but instead of optimizing network width, depth and resolution simultaneously, here we focus only on input resolution. This makes the search space much smaller which is more suitable for low computational budget regimes. More importantly, by controlling for the number of model parameters (and hence model capacity), we show that the additional benefit in accuracy is indeed due to the higher input resolution. Preliminary empirical investigation over MNIST, Fashion MNIST, and CIFAR10 datasets demonstrates the efficiency of the proposed approach.
Contact Tracing: Computational Bounds, Limitations and Implications

Contact tracing has been extensively studied from different perspectives in recent years. However, there is no clear indication of why this intervention has proven effective in some epidemics (SARS) and mostly ineffective in some others (COVID-19). Here, we perform an exhaustive evaluation of random testing and contact tracing on novel superspreading random networks to try to identify which epidemics are more containable with such measures. We also explore the suitability of positive rates as a proxy of the actual infection statuses of the population. Moreover, we propose novel ideal strategies to explore the potential limits of both testing and tracing strategies. Our study counsels caution, both at assuming epidemic containment and at inferring the actual epidemic progress, with current testing or tracing strategies. However, it also brings a ray of light for the future, with the promise of the potential of novel testing strategies that can achieve great effectiveness.
Adding Disqus Commenting System

In the previous chapter, we added environment variables and then successfully deployed our site to Netlify. In this chapter, we will put a commenting system in place. To do so, we will be using Disqus, a networked community platform used all over the Web. With Disqus, your website gains a feature-rich commenting system complete with social network integration, advanced administration and moderation options, and other extensive community functions.