Reviewerly/exHarmony huggingface dataset:
DISCURSIVE PECULIARITIES OF PRECEDENT PHENOMENA: FOREGROUNDING THEIR SOURCES, STATUS, FUNCTIONS

This paper summarizes the findings and contributions made by scholars on precedent phenomena in the field of modern linguistics.The aims in this paper are twofold: first, to present a brief theoretical overview of precedent phenomena; second, to describe and foreground the sources, status and functions of precedent phenomena as precedent phenomena (precedent text, precedent name, precedent saying, precedent situation) are the signs of language, consciousness and culture.It should be stated there are growing appeals for precedent phenomena.As the result three dominant scientific approaches (cognitive, linguo-cultural and intertextual) are distinguished.Despite the heterogeneity of precedent phenomena, they are united by the following features: 1) significance in cognitive and emotional connection; 2) suprapersonal character; 3) constant reproducibility in speech.Verbalization of precedent phenomena sends us to a certain fact of culture hidden behind them.The illustrations given in the paper are taken from the texts of literary, medical and mass media types of discourse.It highlights the discursive peculiarities of the precedent phenomena.This gives a significant advantage because the precedent phenomena are viewed within their status, sources and functional loading.The status of precedent phenomena is understood as the criterion of the precedence -its suprapersonal / mass character, i.e. if the precedent phenomenon is known either to a certain community of speakers or it reflects the linguistic consciousness of the individual.The source of precedent phenomena is the reference to the original text, name, saying or situation.The revealing and description of principal functions of precedent phenomena help to characterize the latter in detail and determine their connection with cultural values.
RUANet: Residual Ultra-Aggregation Network for Stereo Matching

Learning based methods have made great progress in stereo matching, and the key of these algorithms lies in the cost volume construction and the cost aggregation. Existing state-of-the-art models build 4D cost volumes to get accurate results, with huge computational complexity and memory consumption. On the other hand, 3D cost volume based methods sacrifice accuracy in exchange for running speed. This paper aims to optimize the construction mode of cost volumes to improve network efficiency, which is not only close to high-precision method based on 4D cost volume in accuracy, but also comparable to 3D cost volume based methods in time performance. For this reason, we first propose a novel type of cost volume called residual hybrid cost volume(ResHCV) to provide lightweight and efficient matching cost representations. Further, to fuse heterogeneous feature information in ResHCV, we propose residual ultra-aggregation (RUA) algorithm. Our RUANet has achieved stunning results on KITTI datasets while running at 54ms, demonstrating the superiority of our ResHCV and the effectiveness of the RUA module.
FAKTOR-FAKTOR YANG MEMPENGARUHI MOTIVASI BELAJAR SISWA SMA AL-HIKMAH PULO GADUNG, JAKARTA TIMUR SELAMA PANDEMI COVID-19

Dosen FE UnsadaAbstrack: The purpose of this research is to find out what factors influence the learning motivation of students at AlHikmah Pulo Gadung High School, East Jakarta during the pandemic period, and to determine which factors significantly influence learning motivation at Al-Hikmah Pulo Gadung High School, East Jakarta during the pandemic period.This research was conducted by collecting data by distributing questionnaires to students Al-Hikmah Pulo Gadung High School, East Jakarta.The sample is taking by using saturated sampling technique.Data were analyzed using factor analysis and multiple linear regression analysis.The results showed that of the several variables studied there were two factors.These factors are ideals and conditions of students, and students abilities.Of the two factors formed significantly influence the learning motivation at Al-Hikmah Pulo Gadung High School during the pandemic period.
Determination of the asymptotic limits of adaptive photon counting measurements for coherent-state optical phase estimation

Abstract Physical realizations of the canonical phase measurement for the optical phase are unknown. Single-shot phase estimation, which aims to determine the phase of an optical field in a single shot, is critical in quantum information processing and metrology. Here we present a family of strategies for single-shot phase estimation of coherent states based on adaptive non-Gaussian, photon counting, measurements with coherent displacements that maximize information gain as the measurement progresses, which have higher sensitivities over the best known adaptive Gaussian strategies. To gain understanding about their fundamental characteristics and demonstrate their superior performance, we develop a comprehensive statistical analysis based on Bayesian optimal design of experiments, which provides a natural description of these non-Gaussian strategies. This mathematical framework, together with numerical analysis and Monte Carlo methods, allows us to determine the asymptotic limits in sensitivity of strategies based on photon counting designed to maximize information gain, which up to now had been a challenging problem. Moreover, we show that these non-Gaussian phase estimation strategies have the same functional form as the canonical phase measurement in the asymptotic limit differing only by a scaling factor, thus providing the highest sensitivity among physically-realizable measurements for single-shot phase estimation of coherent states known to date. This work shines light into the potential of optimized non-Gaussian measurements based on photon counting for optical quantum metrology and phase estimation.
Breast Cancer Classification Using Deep Convolutional Neural Networks

This research mostly focuses on identifying malignant and non-cancerous breast tumors. It further divides the tumor into two categories, one for malignant tumors and the other for non-cancerous tumors. So, in general, we divide tumors into four categories. The tumor is initially classified as malignant or non-cancerous. After that, if the picture is found to be malignant, we divide it into two categories: in situ and invasive. If the picture is determined to be non-cancerous, it is further classed as benign or normal. We used Keras as the framework and TensorFlow as the backend to train three convolutional neural networks. Two of the three models conduct operations on the photos for each individual image. Each image has been broken into 12 equal-sized patches for categorization. We categorized each patch and labeled the photos as expected based on the classification findings. For non-malignant tissue pictures, the classification technique has an average accuracy of 89.21%, while for cancerous tissue images it has an average accuracy of 88.80%.
A Novel Approach to Edge Detection for a Gravity Anomaly Based on Fractal Surface Variance Statistics of Fractal Geometry

Fractal geometry has developed rapidly, and is widely used in various disciplines. However, only a few fractal dimension methods and techniques have been applied to the processing of gravity data, especially in the detection of geological edges and interfaces. In this paper, the definition, properties and characteristics of fractal dimensions are used to improve the edge detection of gravity anomalies, and a theoretical gravity model is established. At the same time, a new method of fractal surface variance statistics is applied and compared with traditional methods. The fractal gravity anomaly processing methods in different directions are analyzed, and the results show that the maximum value of the fractal surface variance statistical method on a fixed window can be used to delineate the geological edge of the ore body. When the method in this paper is applied to the Luobusha chromite deposit in Tibet, China, the fractal dimension corresponds well with the structural development zones of various faults, and it is also helpful to delineate the boundary of the chromite deposit and identify the interface with an obvious difference in gravity anomaly density.
THE QUALITY DYNAMICS OF YOUNGER STUDENTS’ MUSICAL SENSORY SKILLS: RESULTS OF THE FORMATIVE EXPERIMENT

The importance of forming primary school children’s musical perception is justified by the introduction of the new version of the educational standard and educational programs as well as by teaching Arts on the basis of an integrative methodological approach. The purpose of the article is to scientifically ground the system of didactic influences on musical perceptual processes of younger school children focusing on the following research tasks: a) to define sensory ability as a unit of functioning of musical perception; b) to characterize the levels of pupils’ musical sensory skills formed in the mass experience of primary education; c) to disclose the specifics of variable experimental effects which differ in the degree of intensity of intermodal connections of sensory channels; d) to compare the quality dynamics of musical sensory skills formation in different versions of the pedagogical experiment. Musical sensory ability is defined as the performance of a system of auditory interiorized perceptual familiarizing and cognitive actions based on the mastered standards of music sounds and skills of applying these standards in the examination of musical phenomena. It has been found that in the mass experience of primary education pupils master musical sensory skills at elementary, intermediate and sufficient quality levels where the intermediate one prevails. The system of exercises and game tasks has been developed on the basis of intermodality with coordination of musical and phonemic auditory, musical auditory and color visual, musical auditory and spatial visual sensory processes. The system is aimed at expanding and systematizing pupils' reference ideas about music sounds as well as forming rational ways of their examining musical phenomena. The effectiveness of the introduced didactic influences has been proved: in comparison with the control group the participants of experimental groups, especially the first one, have demonstrated both the highest efficiency of distinguishing and systematizing music sounds and a variety of skills to reproduce them in singing, spatial modelling and instrumental game. The following changes have taken place in the structure of experimental groups: the respondents with an elementary level of musical perception development have not been identified, but a level gradation with intermediate, sufficient, high and consistently high levels of mastery of musical sensory processes. Key words: musical sensory ability, standards of musical sounds, methods of examination of musical sounds, game tasks, exercises, younger students.
Pola Komunikasi Guru Terhadap Siswa Down Syndrome di Sekolah Luar Biasa Negeri Kota Samarinda

Down syndrome experience mental retardation and have IQ scores below the average of normal people so that make teachers who teach in schools experience difficulty in communicate with students who experience down syndrome. Because of that, School teacher Outside Ordinary Samarinda City Country when teach student down syndrome use method communicate and teach differently with other teachers. This article arranged with objective for for analyze pattern teacher communication in process study teach child down syndrome di School Outside Ordinary Samarinda City State. Method writing article this use method studies case. As for the results studies show that the teacher does approach more formerly to students so that they can understand the ability of each student. Teacher teaching student down syndrome using verbal symbols (simple and gradual language) and non-verbal (gestures body, expression face, action, usage object physical). along with intense communication from environment school (teacher) then will give great influence for development students. As for the role of parents student in thing this is very important in guide and motivate her son when study at home.
Implement a laboratory workshop in physics and electrotechnical disciplines in the face of COVID-19 pandemic

&lt;span lang="EN-US"&gt;Studying physics and many related disciplines at all education levels includes not only learning the theoretical material, but also the formation of skills and abilities to apply the knowledge gained in practice. This occurs mainly during laboratory work when students directly contact with specific laboratory equipment. With the forced transition to distance learning due to the development of the COVID-19 pandemic, the main difficulties in many universities arose precisely during the implementation of laboratory workshops. This study analyzed the possibilities of modern digital teaching aids for the effective remote implementation of a laboratory workshop in physics and related disciplines. The study was carried out on the basis of the Elabuga Institute of the Kazan Federal University. There were 79 students took part in the experiment (second and third-year students). The results showed that a well-arranged combination of various digital tools and technologies makes it possible to effectively implement laboratory works in physics and electrotechnical disciplines in a distance learning format. The research results are useful for university teachers using distance learning technologies in laboratory work in natural science disciplines.&lt;/span&gt;
Coronavirus: introduction of the application of augmented reality to help children with disorders to overcome the phobia of contamination facing an indefinite end of the pandemic

Augmented reality has been increasingly used as a therapeutic tool in psychiatry. In particular, augmented reality exposure therapy (ARET) has been developed from and proposed as an alternative to standard cognitive behavioral therapy (CBT) for the treatment of phobic disorders. Using real-time 3D model and visual displays, the child is immersed in different computer-generated virtual environments designed for different types of phobia. As imaginative or in vivo exposure therapy, ARET consists in a gradual presentation of phobic stimuli. The desensitization through ARET has been found to be efficient in different types of anxiety disorder, and in particular in phobic disorders. The endeavor of this work is to examine researches done in the field of AR applied to children With Disorders. Thus, we will try to verify whether the use of these techniques makes useful or not an intervention in the case of children with disorder. The work presented aims at a reflection on the introduction of the use of AR in the treatment of these children by means of current researches. We will also observe, throughout this work, the involvement of NICTs such as augmented reality in changing the activities made with these tools on the didactic and methodological level.
Characteristics with opposite of quranic letters mispronunciation detection: a classifier-based approach

Reading Quran for non-Arab is a challenge due to different mother tongues. learning Quran face-to-face is considered time-consuming. The correct pronunciation of Makhraj and Sifaat are the two things that are considered difficult. In this paper, Sifaat evaluation system was developed, focusing on Sifaat with opposites for teaching the pronunciation of the Quranic letters. A classifier-based approach has been designed for evaluating the Sifaat with opposites, using machine learning technique; the k-nearest neighbour (KNN), the ensemble random undersampling (RUSBoosted), and the support vector machine (SVM). Five separated classifiers were designed to classify the Quranic letters according to group of Sifaat with opposites, where letters that are classified to the wrong groups are considered mispronounced. The paper started with identifying the acoustic features to represent each group of Sifaat. Then, the classification method was identified to be used with each group of Sifaat, where best models were selected relying on various metrics; accuracy, recall, precision, and F-score. Cross-validation scheme was then used to protect against overfitting and estimate an unbiased generalization performance. Various acoustic features and classification models were investigated, however, only the outperformed models are reported in this paper. The results showed a good performance for the five classification models.
An Analytical Review on Challenges and Solutions for Secure Data Access through Blockchain-Based IoT

A number of security and privacy concerns are raised by the decentralized nature of IOT technology and its rapid growth on a wide scale.At the moment, access control is one of the most difficult problems to solve, and most of the time, this is done through centralised systems that are bound by accessibility and sustainability, which might results in a productivity constraint.Despite the fact that blockchain provides numerous benefits such as peer-to-peer technologies, confidentiality, improved efficiency, and additional security, the immutable structure of the blockchain is the primary reason it is the first choice.As a result of its distributed nature, blockchain can be employed as a vital technology in interconnected networks to eliminate the need for a trustworthy third party.In this article, we have explored the integration of Internet of Things (IoT) and blockchain technology, as well as offered an in-depth analysis of the blockchain-enabled Internet of Things systems.Currently available research is divided into three categories: data management and control strategies, large-scale data and cloud computing techniques, and industrial sectors.The comprehensive study of blockchain use cases will operate as a state-of-the-art for the researchers, allowing them to conduct cutting-edge research in the pursuit of block chain technology across a wide range of fields based on the findings .
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures

Privacy-preserving estimation of counts of items in streaming data finds applications in several real-world scenarios including word auto-correction and traffic management applications. Recent works of RAPPOR&#x00A0;[1] and Apple&#x0027;s count-mean sketch (CMS) algorithm&#x00A0;[2] propose privacy preserving mechanisms for count estimation in large volumes of data using probabilistic data structures like counting Bloom filter and CMS. However, these existing methods fall short in providing a sound solution for real-time streaming data applications. Since the size of the data structure in these methods is not adaptive to the volume of the streaming data, the utility (accuracy of the count estimate) can suffer over time due to increased false positive rates. Further, the lookup operation needs to be highly efficient to answer count estimate queries in real-time. More importantly, the local Differential privacy mechanisms used in these approaches to provide privacy guarantees come at a large cost to utility (impacting the accuracy of count estimation). In this work, we propose a novel (local) Differentially private mechanism that provides high utility for the streaming data count estimation problem with similar or even lower privacy budgets while providing: a) fuzzy counting to report counts of related or similar items (for instance to account for typing errors and data variations), and b) improved querying efficiency to reduce the response time for real-time querying of counts. Our algorithm uses a combination of two probabilistic data structures Cuckoo filter and Bloom filter. We provide formal proofs for privacy and utility guarantees and present extensive experimental evaluation of our algorithm using real and synthetic English words datasets for both the exact and fuzzy counting scenarios. Our privacy preserving mechanism substantially outperforms the prior work in terms of lower querying time, significantly higher utility (accuracy of count estimation) under similar or lower privacy guarantees, at the cost of communication overhead.
PENINGKATAN PRESTASI BELAJAR SISWA MELALUI MULTIMEDIA PADA MATA PELAJARAN SEJARAH KELAS 6 SD NEGERI 3 KECAMATAN SAMADUA KABUPATEN ACEH SELATAN

From the observations seen at the State Elementary School 3 Samadua so far, it is still dominantly using the shared learning model, not finding that improvisation renews learning with changes in time and the environment in which students find themselves. Teachers who teach theory still do not use teaching materials. In the transmission of learning, educators still use the method of teaching or delivering material orally. This research is a field research using action research in the classroom (RAC). Data collection is done through observation or observations and experiments. The results of the study show that PowerPoint material can increase the output of learning history for students in grade VI History of the State Elementary School Tiga Samadua. The average value of the class experienced a significant increase. When not given treatment, the mean value of 59 is 59, after treatment in the first cycle, the class average value is higher as 70.1, then it is higher again in cycle II as much as 78. And in the postgraduate level, it is higher as 90. The number of students who complete their studies also increased, initially at the time of completion of the pre-action there were 9 students or 20.3%, in the cycle, 60.3% at first, then increased. in the second cycle is 75.5%. And increased sharply at the postgraduate level to 87.3%.
PERANCANGAN APLIKASI MEDIA PEMBELAJARAN DASAR DESAIN GRAFIS BERBASIS ANDROID MENGGUNAKAN WEB KODULAR

Based on the initial observations made, the researchers found the problem that teachers were less than optimal at using learning media. There are several factors that often make the student's learning process limited; these factors include that each student has different abilities in absorbing material. This study aims to develop an android application that can be a learning medium for DDG (Basic Graphic Design) material based on user needs, so as to facilitate teaching and learning activities at the State Vocational High School 1 Mesjid Raya Aceh Besar. This study uses the R &amp; D (research and development) method and the system usability scale (SUS) method in testing the feasibility of information systems. The results of the final evaluation evaluation carried out on this application from 12 respondents including 10 students and 2 teachers got a score of 80 and were included in grade B based on the percentile rank graph, and a good rating based on adjective rank, so this application was categorized as good in meeting user needs. and quite easy to use by users.
AN ANALYSIS: GOOGLE CHROME KEEPS ON BEING THE MOST POPULAR WEB BROWSER

"We are all now connected by the Internet, like neurons in a giant brain", these are the famous words of Stephen Hawking. The internet revolution gave an increase for the convenience of access to free data. To access this data there ought to be a medium; an online browser acts as a medium. The browser is the most elementary part of an ADP system and we talk to it because of the internet. There are several browsers within the world and are classified in many sorts. This paper is an analysis of why google chrome is being well-liked in today's market with some case studies.