Reviewerly/exHarmony huggingface dataset:
The interaction of different arts in educational process of the modern art college

The modern education is an open, difficult and dynamic system with high level of component integration. It provides the conditions for harmonious and coherent personality development. The art education institution activity on modern stage of social development sets the tasks to create the single education space and integral education system. The arts interaction of educational space take place with pedagogic interaction simultaneously. This process makes the branched system relations of educational space elements more difficult and deep. The aim of this paper to open the forms of arts interaction at the educational process of modern art college. Methodology of this research provides the performance of three analytic operations: 1) to analyze the psychological and pedagogical literature; 2) to separate the main trends of the art education; 3) to demonstrate the realization of those trends on the practice. Scientific novelty of this study is to reveal the modern art&nbsp;college phenomenon as integrative educational environment that the process of active art interaction happens. In conclusion of this paper installed that arts interaction is a base of the modern art college educational process. This arts interaction formed historically. She demonstrated her stability and efficiency on various stage of historical development. In the modern conditions this arts interaction realized at level of educational programs, educational plans, different forms of educational process (lessons, extracurricular activity, different creative actions and projects, individual speaking between teacher and student, self-educational work etc.). The arts interaction in educational process of the modern art college is a sphere that original creative ideas and bright creative personalities are were born.
REKOMENDASI MITIGASI DAERAH RAWAN BANJIR KECAMATAN BALIKPAPAN TIMUR

Flood is a natural event that is difficult to predict because it comes suddenly with an erratic period, especially in East Balikpapan. There are several important factors that cause flooding in South Balikpapan, including the slope, land cover, and rainfall. The purpose of this study was to determine the flood-prone areas of East Balikpapan based on analysis of the factors that cause flooding, such as rainfall, slope, and land cover and give recommended mitigation.In addition, this study is also to obtain the weight of each factor that affects flooding. The data used in this study include digital data on administrative boundaries, rainfall data, digital data on topographic maps, digital data on land use maps, and field observations. The data is processed using an application based on a Geographic Information System (GIS). The overlay process is carried out using ArcGIS and the weighting is obtained from the Analytical Hierarchy Process (AHP) method. The research area has three categories of areas prone to flooding: not prone, vulnerable, and very prone to flooding. Areas that are not prone are 31.2%, vulnerable 0.001%, and very vulnerable 68.7% of the total research area predominantly located in the south of the study area with the dominance of residential land cover. Recommended mitigation recommendations are the arrangement and construction of good irrigation channels, directly connected to the sea, land clearing paying attention to the marbles of the territory and bozem development
On weak rotors, Latin squares, linear algebraic representations, invariant diﬀerentials and cryptanalysis of Enigma

Since the 1920s until today it was assumed that rotors in Enigma cipher machines do not have a particular weakness or structure.A curious situation compared to hundreds of papers about S-boxes and weak setup in block ciphers.In this paper we reflect on what is normal and what is not normal for a cipher machine rotor, with a reference point being a truly random permutation.Our research shows that most original wartime Enigma rotors ever made are not at all random permutations and conceal strong differential properties invariant by rotor rotation.We also exhibit linear/algebraic properties pertaining to the ring of integers modulo 26.Some rotors are imitating a certain construction of a perfect quasigroup which however only works when N is odd.Most other rotors are simply trying to approximate the ideal situation.To the best of our knowledge these facts are new and were not studied before 2020.
The correlations among learning motivation, self-confidence, and writing ability of students descriptive text

This thesis was concerned with the inquiry on the correlations among learning motivation, self-confidence, and writing ability of the seventh grade students at State Junior High School of Lubai Ulu Sub-District of Muaraenim Regency. The problem of the study was to investigate the correlation among students’ learning motivation, self-confidence, and writing ability. The total number of the population were 474 students. The sample for this study was 83 students taken through a simple random sampling technique. Data were collected by adopting a questionnaire for learning motivation, self-confidence, and test for writing ability. Data were analyzed by using r-Product Moment and Multiple Regression. Finding showed that: (1) there was significant correlation between learning motivation and writing ability; (2) there was not any significant correlation between self-confidence and writing ability; (3) there was not any significant correlation between learning motivation and self-confidence; (4) there were significant correlations among learning motivation, self-confidence, and writing ability of seventh grade-students at state Junior High School of Lubai Ulu Muaraenim.
DigiLing e-Learning Hub: e-Courses for Digital Linguistics

The files represent exported e-learning resources created within the DigiLing project, www.digiling.eu. We have identified seven core subjects in Digital Linguistics and built seven corresponding courses:- Introduction to Text Processing and Analysis- Introduction to Python for Linguists- Computational Lexicology and Lexicography- Localization Tools and Workflows- Post-Editing Machine Translation- Mining and Managing Multilingual Terminology- Variability of Languages in Time and SpaceThe data format is .mbz, a compressed archive compatible with any e-learning environment running Moodle.
Формування біоетики у складі екологічної компетентності здобувачів фахової передвищої освіти

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Using Ideal Time Horizon for Energy Cost Determination

In most optimal VM placement algorithms, the first step to determine the proper time horizon, T for the prediction of the expected maximum future load, L. However, T is dependent on the proper knowledge of the required time for servers to switch from their initial SLEEP/ACTIVE state to the next desired state. The activities implemented by this policy are (a) to relocate the VM from an encumbered server, a server that operates in an undesirably high regime with applications forecasted to rise their burdens to compute in the subsequent reallocation cycles; (b) to conduct VM migration from servers that operate within the undesirable regime to shift the server to a SLEEP mode; (c) putting an idle server to SLEEP mode and rebooting the servers from the SLEEP mode at high cluster loads. A novel mechanism for forwarding arriving client desires to the utmost suitable server is implemented; thus, in the complete system, balancing the requested load is possible.
Using a smartphone video camera to reduce anxiety in speaking activity

The common problems faced by students in English speaking are anxiety and the lack of confidence and ideas. This research was conducted to determine the relevant factors and to provide a solution by using the smartphone video camera. To obtain the data in this research, experimental research was performed inside and outside the classroom with a series of treatments and a questionnaire sheet as the instrument. The data were analyzed using a model proposed by Smeda, Dakich, and Sharda (2014) and a Likert scale questionnaire, which was adapted from Spratt, Humphreys, and Chan (2002). The result from the test showed a significant difference between the experimental and control classes as the carried t-test presented the score of -8.36, which was out of the limit (between -1.96 and 1.96). Another result was the students developed positively which was shown by: the anxiety tends to decrease as they were given time before performing thus prepared better, their self-confidence was increased and challenged by using the smartphone video camera method due to the application of innovation in the speaking class. The conclusion of this research is lecturer needs to apply new methods, one of which is using a smartphone application.
Jaringan Saraf Tiruan Memprediksi Nilai Pemelajaran Siswa Dengan Metode Backpropagation ( Studi kasus : SMP Negeri 1 Salapian)

Backpropagationcial neural networks are one of the artificial representations of the human brain that are always trying to stimulate the learning process of the human brain. Backpropagation is a gradient descent method to minimize the squared of the output error. Backprorpagation works through an iterative process using a set of sample data (training data), comparing the predicted value of the network with each sample data. In each process, the weight of the relation in the network is modified to minimize the Mean Squared Error value between the predicted value from the network and the actual value. The purpose of this thesis is to be able to help teachers at SMP Negeri 1 Salakaran to predict the value of student learning. In the calculation using the maximum epouch = 10000, the target error is 0.01, and the learning rate is 0.3, then there is a calculation result where the need ratio A has a value of 0.7517, which means that the value has decreased and D has a value of 0.9202 which means that this value has increased..
Market Efficiency of Exchange Rate of Bitcoin with Dollar and Rupiah of Foreign Exchange Markets: Weak and Semi-Strong Form Test

Bitcoin is one of the cryptocurrencies that had a high rate of return since its appearance in 2009. However, the exchange rate of Bitcoin against any foreign currency is considered to have high volatility making it difficult to determine the real value of Bitcoin. The main purpose of this research is to find the value of Bitcoin, especially US Dollar and Rupiah currencies. The test is carried out using the weak market efficiency hypothesis and the semi-form market coefficient hypothesis. The data processing methods are used the stationary test (ADF, KPSS, and ERS) to test the efficiency of the weak form market and the cointegration test (Johansen Cointegration) with the VECM model to check the efficiency of the semi-strong market. The results show that the Bitcoin exchange rate does not have a unit root so it is inefficient in a weak form and has a negative effect on the USD / IDR exchange rate so that it is not efficient in semi-strong form as well as on the US Dollar and Rupiah exchange rates. This happens because Bitcoin transactions as a medium of exchange in Indonesia are still illegal. So that the Bitcoin exchange rate against the US Dollar and Rupiah exchange rates is biased because it does not reflect the available information, both historical information and public information.&#x0D; Keywords—Bitcoin Exchange Rate; Market Efficiency; Unit Root; Cointegration
Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints

Local differential privacy (LDP) is a model where users send privatized data to an untrusted central server whose goal it to solve some data analysis task. In the non-interactive version of this model the protocol consists of a single round in which a server sends requests to all users then receives their responses. This version is deployed in industry due to its practical advantages and has attracted significant research interest. Our main result is an exponential lower bound on the number of samples necessary to solve the standard task of learning a large-margin linear separator in the non-interactive LDP model. Via a standard reduction this lower bound implies an exponential lower bound for stochastic convex optimization and specifically, for learning linear models with a convex, Lipschitz and smooth loss. These results answer the questions posed by Smith, Thakurta, and Upadhyay (IEEE Symposium on Security and Privacy 2017) and Daniely and Feldman (NeurIPS 2019). Our lower bound relies on a new technique for constructing pairs of distributions with nearly matching moments but whose supports can be nearly separated by a large margin hyperplane. These lower bounds also hold in the model where communication from each user is limited and follow from a lower bound on learning using non-adaptive statistical queries.
INVESTIGATION ON ONLINE VNF SCALING IN A CLOUD DATACENTER USING ILP﻿

NFV is the advanced technology in present situation. Online VNF Scaling in a cloud datacenter under multi-resource constraints were consider for formulating mathematical model. A new novel ILP Scaling algorithm works based on the regularization technique and dependent rounding.
Design of Expert System for Diagnosis of Gonorrhea Disease by using Web-Based Naïve Bayes Method

Gonorrhea is a sexually transmitted disease caused by the bacterium Neisseria gonorrhea that infects the lining of the bladder, cervix, rectum, throat, and the whites of the eyes. This disease is spread through the bloodstream to other parts of the body, especially the skin and joints and is generally transmitted through sexual contact. Gonorrhea not only affects adult men and women, but babies and even newborns can get gonorrhea from their mothers. An expert system is a system that seeks to adopt human knowledge into computers, so that computers can solve problems like an expert. With this expert system, the public can obtain information or can solve the problems they face which can only be obtained with the help of experts in their fields. This study explains how the expert system diagnoses Gonorrhea using the Naïve Bayes method. By using the Naïve Bayes method, it can predict future probability values based on previous experiences experienced by people with gonorrhea, Document classification can be personalized, tailored to the needs of each person. By using this expert system application, it can provide information and make it easier for the public to be more familiar with Gonorrhea and can handle problems based on the expertise of doctors who are experts in their fields. This expert system can provide solutions and prevention of gonorrhea disease with the diagnosis process carried out efficiently and save time in helping the community in the prevention that occurs. This web-based expert system application is built with the PHP programming language and MySQL data storage.
Object Detection and Tracking using Multiple Features Extraction

In most of the video analysis applications, object detection and tracking play vital role. Most of detection and tracking algorithms fail to predict multiple objects with varying orientation. In this paper, the goal is to identify and track multiple objects using different feature extraction methods like Locality Sensitive Histogram, Histogram of Oriented Gradients and Edges. These features are subjected to train classifier that can detect the object of different orientations. Experimental results and performance evaluation depicts the proposed method which uses LSH performs well with an increased accuracy of 98%. This method can precisely track the object and can be utilized to track under different scale and pose variations.
An Approach for Requirements Engineering Analysis using Conceptual Mapping in Healthcare Domain

Healthcare systems aim to achieve the best possible support for patient care and to provide good medical care.Good analysis of requirements is essential to avoid any crises.Elicitation of healthcare systems requirements is an emerging and critical phase.It is a challenging task to deal with constraints from the stakeholders and restrictions of the legal issues.In this research, an approach "Conceptual Mapping for non-functional Health care Requirements; CMHR" is proposed to perform an analysis and to evaluate the relationship between the clinical nonfunctional requirements of medical devices (ventilators as an example in this research) according to the following five attributes: prioritization of requirements, suitability, feasibility, achievability, and risky.Requirements are automatically clustered using the K-means++ algorithm to find out the optimal number of clusters.Requirements are then clustered to visualize the concept map.Clustering is applied on different combinations of the attributes to sort the requirements and to visualize them.Label names are assigned to the classes of requirements to assign each requirement to the appropriate class.Consequently, a prediction of a new requirement can be figured automatically.The approach achieved less rework, fast delivery of the project with good quality, and achieved a higher level of user satisfaction.
Vehicle Reidentification Based on MAPANet and k-Reciprocal Encoding

Vehicle reidentification has important applications in intelligent monitoring systems. However, due to many factors, such as inaccurate vehicle image detection and viewing angle changes, distinguishing features cannot be effectively obtained when the vehicle is reidentified. To improve the recognition ability and robustness of vehicle reidentification, this study proposes a new multiattention part alignment network (MAPANet). The network uses different channels in the feature map to perceive different characteristics of the image clustering of the channels and achieves fine-grained attention to the vehicle. It can automatically locate the distinguishing subregions in the vehicle image and avoid the need for a large number of additional manual pretreatment steps. Moreover, an unsupervised reranking method based on multiple metrics is proposed. The k-reciprocal encoding algorithm can optimize the performance of the sorted list in the reordering problem, recalculate the interclass and intraclass distances of vehicle pictures, and improve sorting results. The experiments in this paper are carried out on the VeRi-776 and VehicleID datasets, and the mean average precision (mAP) results on the two datasets are 72.83% and 75.25%, respectively.
Stage creativity of Bogdan Stupka: features of the techniques and methods of his acting skills

The purpose of the article. To highlight the specific features of the stage work of the outstanding theatrical figure B. Stupka and to characterize the peculiarities of the techniques and methods of his acting skills. The methodology of research of Bohdan Stupka's stage activity is based on: analytical method - for the elaboration of culturological, art and theatrical scientific literature; typological method - to identify and determine the techniques of his acting skills; art history method - determining the contribution of B. Stupka to the development of Ukrainian drama theater and stylistic specifics of its acting art, the individuality of artistic search, the identification of artistic and aesthetic features of his stage work; cognitive method - to substantiate the uniqueness of the artist's acting skills, to identify and outline the specifics of his individual creative methods in the process of working on the artistic image. The scientific novelty of the study lies in the comprehensive analysis of the stage work of B. Stupka as one of the leading Ukrainian theater masters of the late XX - early XXI century. The peculiarities of the techniques and methods of his acting skills are described for the first time. Conclusions. As a result of the analysis of the research it can be concluded that the special, original, specific features of B. Stupka's work were the observance of key criteria of the aesthetic value of the production; deep penetration into the psychology of the character and its full disclosure; philosophical approach to understanding the literary source; the true nature of the feelings and way of life of the character; endowing the character with rigidly organized plasticity.
Спілкування у структурі формування фахових педагогічних здібностей вчителя фізичної культури

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Petrogenesis of chemical compositional trends within a mafic dyke at Wadi Lethi, Southern Sinai, Egypt.

Systematic mineralogical chemical compositional variations across a mafic dyke at the Wadi Lethi area, in southern Sinai, are observed. This dyke extrudes the Neoproterozoic Younger Granite of southern Sinai. New petrographic, geochemical data, and mineral chemistry data are applied to predict the evolution scheme of this dyke. The collected samples vary in composition from (outward zone) basalt to (inward zone) andesite. The studied samples exhibit a wide uniform variation in main oxides and trace elements content and display a significant inward chemical variation. The studied samples are mainly identified into basalt, trachy-andesite, basaltic andesite, and andesite. The geochemical characters reveal that the investigated dyke originated from calc-alkaline magma under orogenic tectonic setting. Mineral chemistry data reveals that the studied dyke formed at water pressure ranges from 1-3 kbr and low oxygen fugacity conditions. The fractional crystallization process is assumed to have prevailed during the extrusion of the investigated dyke.
KESULITAN MAHASISWA DALAM PEMBUATAN VIDEO PEMBELAJARAN MENGGUNAKAN MICROSOFT POWERPOINT

Video has become one of the main learning tools in distance learning systems. Students as prospective teachers must be able to make quality and interesting videos. One easy-to-use application for creating videos is Microsoft powerpoint. The purpose of this study is to describe the difficulty of students in making learning videos using Microsoft PowerPoint. The research subject is a 5th semester student who took the learning media course on condition that he has passed computer courses I. The research instrument is a questionnaire. Data analysis techniques are qualitatively covering reduction, presenting data, verifying and checking back. Based on the analysis of data it can be concluded that the difficulty of students in making learning videos is that students still have less knowledge in operating Microsoft powerpoint, less creative in designing video displays, low explaining skills and students still have low computer specifications.
Clinico-Pathological study of carcinoma breast in a tertiary care hospital from West Bengal, India: A Cross-Sectional Observational study

Background: Breast cancer is one of the most common cancer in women. BC represents a heterogeneous group of tumors that are diverse in behavior, outcome, and response to therapy. Aims and Objective: The present study was undertaken to assess various clinical parameters and to evaluate correlation with histo-pathological grading in breast carcinoma patients. Materials and Methods: The study was conducted in the Surgical outpatient department and Indoor surgical wards of Deben Mahato Sadar Hospital (DMSH), Purulia, West Bengal from July, 2019 to December, 2020. 104 patients with diagnosis of BC aged between 20 years to 80 years were selected. Results: Among 104 patients, 41.3% patients were in the group of 41-50years. This study revealed that the patient had mostly IDC i.e. 78.8% and had triple negative BC (51.9%). Association of HPE vs. Stage, subtypes vs stage and Tru-cut biopsy vs HPE were statistically significant. Conclusion: The study showed that breast cancer tends to present in middle aged women and positively correlate with the present markers of bad prognosis.