Reviewerly/exHarmony huggingface dataset:
Students’ Attitude Towards English Language Learning

This study is try to find out the students’ attitude towards English language learning in Jombang elementary schools. Attitude is one of the factors that influence the language acquisition. The study used qualitative research methodology. The data were gathered by using questionnaire. The findings showed that most of the students have positive attitude towards English. But, there is a finding that showed the students’ competence in learning English is poor. Positive attitude did not influence their competence in acquiring English. Some suggestions for government to make a guide or curriculum of English teaching –learning in elementary school. So that the teachers know how to teach English for young learner appropriately.
Improved Link Prediction in Social Networks using Label Propagation

Social communications can effectively assist social networks in order to keep their active users and improve services of social networks.Therefore, they should have good prediction of social communications between their users.In this way, link prediction issue in social networks has interested many researchers and increasing prediction accuracy in social networks in under focus.There are three approaches for solving link prediction problem: similarity-based approach, an approach based on maximum likehood and probabilistic model-based approach.In this paper, similarity-based approach is utilized.Also, label propagation concept is used for link prediction and in order to raise accuracy in link prediction algorithm by using label propagation, the distance of the shortest path is applied for label propagation in network.Presented method, with AUC metric is tested on football data set, Email network, science network and power network.Total results of this test show that proposed method is improved basic method about 17.133%.
3D Virtual Gallery Modelling Combining Photo Panorama for Information Media Hindu Buddha Temple in West Java

The need for innovative media in the Industrial Revolution 4.0 era become a new necessity and challenge especially looking at cultural and historical potential which must remain preserved along with the times and technology. Designing new media previously designed conventionally related to historical information on West Java about Hindu Buddha Temples become a new innovation to create information media for digital age. Historical information on Hindu Buddhist temples is basically very interesting learning to be known by everyone, both teenage children and the general public, because the history of Hindu Buddhist temples includes sacred buildings from Indonesian classical relics that are used as a place of worship by historical society of Hindu Buddha. This research aims to design a 3D gallery design combining photo panorama as an innovation media in conveying information related to the history of Hindu Buddhist temples. The method used in this research is Design and Development (D&amp;D). The results of this study are 3D modelling and photo assets. The texturing object was produced from 9 photos and 1 panoramic photo with the aim of displaying a realistic visualization of a 3D gallery to display an interesting interior photo of the Hindu Buddha Temple.
Classifying Streaming Data II: Time-Dependent Data

This chapter builds on the description in Chapter 21 of the H-Tree algorithm for classifying streaming data, i.e. data which arrives (generally in large quantities) from some automatic process over a period of days, months, years or potentially forever. Chapter 21 was concerned with stationary data generated from a fixed causal model; Chapter 22 is concerned with data that is time-dependent, where the underlying model can change from time to time, perhaps seasonally. This phenomenon is known as concept drift. The algorithm given here, CDH-Tree, is a variant of the popular CVFDT algorithm which generates a type of decision tree called a Hoeffding Tree. The algorithm is described and explained in detail with accompanying pseudocode for the benefit of readers who may be interested in developing their own implementations. A detailed example using synthetic data is given to illustrate the way in which the classification tree evolves as more and more records are processed in the presence of concept drift.
Tinjauan Pelaksanaan Pemeliharaan Dokumen Rekam Medis di Ruang Filling RSUP Dr. Sardjito

The implementation of maintenance medical record documents in RSUP Dr. Sardjito is not optimal. This statement was proven by the damage of medical record documents about 35,05%. The purpose of this research is to review the implementation of maintenance medical record documents uses management elements 5M (man, money, material, machine, and method). The research type is qualitative and the data collection techniques use interviews, observations, and documentations. The subjects of this research are filling officers. The result from man factor shown that filling officers have not received maintenance medical record documents training, meanwhile money factor shown that filling officers did not know about the budget management of maintenance medical record documents. The result from material factor show that the materials for medical records forms and folders have been provided optimally, meanwhile machine factor shown that the type of rack from combination of iron and wood was less suitable because it can made medical record documents were damage. The result from method factor show that standard operational procedure about implementation of maintenance medical record documents was not available. The solutions are giving socialization about implementation of maintenance medical record documents to filling officers, providing standard operational procedure about implementation of maintenance medical record documents, coating around the sharp part of rack using rubber tires that can prevent the damage of medical record folder.
Public Auditing Mechanism toVerify Data Integrity in Cloud Storage

Cloud remote servers.It gives users a flexible approach to access data that are outsourced remotely via the internet.Cloud users can manage their data without deploying and maintaining storage servers and devices in the local system.Data integrity and confidentiality are the two most vital security concerns over unreliable cloud service providers (CSP).However, the management of data and services by CSP may not fully be trusted by industries/users.While the integrity of data checks whether data stored in cloud server remains intact, confidentiality of data ensures whether the stored data is secure and not disclosed to anyone.In this paper, an approach for ensuring the integrity data in cloud storage server proposed to strengthen the trust of cloud service provider, because of cloud service provider might delete rarely accessed file of users or may try to hide data loss incidents to maintain their reputation and claim that there is no data loss.
Efficient Resource Utilization Based on Energy Management in Cloud Data Center

Efficient resource utilization plays a vital role in cloud computing since the shared computational power of the resources is offered on demand. During dynamic resource allocation sometimes a server may be over utilized or underutilized thus leading to excess of energy consumption in the data centers. So the proposed system calculates the over utilization and underutilization of a CPU and RAM usage and also considers the network bandwidth usage to reduce power consumption in the cloud data center. Hence, a novel method is used for minimizing power consumption in the data center.
A study on the diagnostic approach to palpable breast lump through a modified triple assessment

Introduction: Breast cancer is the second most common malignancy among women. With this, a study was conducted to find the sensitivity, specificity, positive predictive value, negative predictive value for the modified triple test (MTT) used in the diagnosis of palpable breast lumps. Materials and Methods: It was a cross-sectional study, conducted in the department of General surgery, Rangaraya Medical College. Female aged &gt;30 years, complaining about breast lump were included in the study. Breast imaging techniques and cytopathological tests were used for the diagnosis of MTT. The data were analyzed using Microsoft Excel and SPSS software version 22.0. P&lt;0.05 was considered statistically significant. Results: A total of 65 participants were included, the mean age was 41.84+9.1 years and 62% were benign. Age-wise, more (37%) benign cases in 31–40 years group and more (14%) malignant cases in 51 – 60 years group. The left side presentation was predominant (63%). Totally 12.3% (8) women were nulliparous, out of which 2 had malignant lesions and the rest (57; 81.7%) were multiparous. Statistically, there was no significant difference (P &gt;0.05). Conclusion: Among the three components of this triple assessment, the cytopathological diagnosis was considered to be the most reliable component especially in doubtful cases.
FMCW Radar Point Cloud Multiperson Tracking Using a Kalman Filter–Based Approach

In this article, we present a processing chain for multitarget tracking in an indoor scenario using a Texas Instruments IWR6843 radar development kit.The processing chain works on top of a radar point cloud and can detect and track people using a clustering algorithm and Kalman filtering.The detected and postprocessed data are then fused onto a live image acquisition from a surveillance camera as a complementary sensor.
Effects of an Empirical Cognition Development Programme on the Creative Thinking of Preschool Children

Inquiry-based education as a means of teaching has not been sufficiently studied in the context of empirical cognition in children of lower ages.The currently enhanced space for preschool science education creates possibilities to verify the applicability of physical experiment in the empirical cognition of preschool children and its effect on the development of their creative thinking.The developed Empirical Cognition Development Programme was implemented in kindergarten conditions and empirically verified in a quasi-experimental design on a sample of 102 children (2 experimental groups N = 71; 1 control group N = 31).To capture the level of creative thinking and its changes in children, the Torrance Figural Test of Creative Thinking (Torrance, 1974; Jurčová, 1984) was used.Results of comparative analyses showed a statistically and practically significant increase in the level of the creative thinking factors studied (fluency, flexibility, originality) in one of the experimental groups in comparison with the control group.The article discusses the results and implications for educational practice in the conditions of preschool education.
Prediksi Pencapaian Target Peserta Keluarga Berencana Pasca Persalinan menggunakan Algoritma Backpropagation

Population growth in Indonesia continues to increase, so the government makes a program to control the rate of growth of the population, namely the Family Planning Program (KB). The implementation of family planning also has another objective, namely to reduce the risk of maternal death after childbirth. To measure the level of increasing target achievement of postpartum family planning participants. So that it can be a reference for the DPPKBP3A in carrying out the postpartum family planning program. Data from the Population Control, Family Planning, Women Empowerment and Child Protection (DPPKBP3A) District Lima Puluh Kota data processed in this study is data on the achievement of postpartum family planning participants from 2018 to 2020. Data processing uses the Backpropagation algorithm through several stages, namely the stage initialization, activation stage, weight training (weight change) and iteration stage. One of the results obtained from the calculation is the comparison of the target with the output gradient error in Suliki District in 2018, namely the target of 0.11311 and the result of the error gradient output is -0.1171. The prediction results obtained from this process become a reference for the Population Control, Family Planning and Women Empowerment and Child Protection Agency (DPPKBP3A) of District Lima Puluh Kota to implement the implementation of postpartum family planning programs to the community the following year.
An adaptive weighted denoising filter framework for impulse and shot noise: a mammogram image applications

The breast screening contraption has not yet became an effective diagnosis method for the detection of abnormalities. This is mainly due to the physical interference from the screening system; these tribulations usually develop a noise due to electric charge and also occur due to photon counting in optical screening machine. This work focuses on denoising the mammogram breast image to a greater extends with two-step process. In the first phase, mammogram image dataset is subjected to neural network to detect the corrupted image from non-noisy images by using different feature set. Then, average weighted of four different filters such as geometric-mean (GM) filter, decision-based median (DBM) filter, directional weighted median (DWM) filter and frost filter is applied to impulse and shot noise pixels, to preserve its corrupted edges and to avoid smoothing out of details. Additionally, this combined filter is subjected to exponential transformation to yield the enhanced output. The proposed filter is applied to these two noises and compared with existing filters with respective quality factors such as peak to signal noise ratio (PSNR) and mean absolute error (MAE). The outcome result shows that the proposed methods yield promising than the existing filters for mammogram images.
Fuzzy Cognitive Maps based Mathematical Model for Prediction of Parkinson Disease

This note explains about “Parkinson Disease which may be a long-term disorder of the central nervous system”. The research paper focuses on analysis of symptoms of “Parkinson Disease” to predict the disease in early stage. Concept of FCMs was used to interpret the diagnostic symptoms of “Parkinson Disease”. The target is to draw connection between the symptoms and provide likely explanation.
Augmented Reality for Smart Store Assistant: an Application to Club Virtual Aspects into Real World Mall Experience

Due to increase in online shopping portals, conventional offline stores are facing a crisis and are losing their prominence. The paper brings about a solution to this, by empowering offline stores with the perks of online stores using Augmented Reality. Enhancing users experience will be a stepping stone to tackle this issue. Augmented reality is the trend these days, anything and everything blended with Augmented Reality is the future we are yet to witness. Augmented Reality is a implementation of various technologies that combines computer generated content and real-world display. The main aim of this paper is to develop application to offer options associated with a certain object alive to the real environment. For example, the price tags being popped up when we arrive at the products, mannequins as similar as the living models, reviews and offer details of a specific product that a user ought to know or for a prospective purchase.
Product Quantization using Regression

Approximate Nearest Neighbor (ANN) has developed an immense demand for many tasks. This ANN methodology was being used for product quantization. These product quantization methods were being used for e-commerce sites. However, this quantization maybe sometimes misleading due to a lack of accuracy in technique. So, we managed to increase the accuracy of quantization by adding Logistic Regression in the process. This helps to increase the accuracy of the method by having a probability value. This helps to make correlated items much more accurate when compared to pure quantization. This method is helpful for e-commerce sites for efficiency in the prediction of purchase by the customer.
SPECIAL ASPECTS OF SELF-ADJUSTMENT OF MILITARY UNIVERSITY CADETS WITH DIFFERENT PERFORMANCE LEVELS

The search for ways to increase the efficiency of educational and professional activities of students during the period of study at a military university remains relevant at present. The provision of optimal methods for the students’ professional competencies formation considering their personality dimensions at the shortage of study time has particular importance. The subject of the research is the special aspects of self-adjustment of cadets with different performance levels. The study aims at identifying the features of voluntary self-adjustment and personal characteristics of cadets with different academic performance levels in technical disciplines at a military university. The authors determined the theoretical approaches to the study of self-adjustment as personal property, mental state, and conditions for the successful activity. The paper includes the systematization of the ideas of the self-adjustment role in the process of educational and professional activity. The authors theoretically substantiate the necessity of considering the peculiarities of self-adjustment of cadets of a military higher education institution manifested in the subjective focus on particular phenomena. The paper presents data on the respondents, which includes ninety-one first-year cadets of Novosibirsk Military Institute. The authors substantiate the division of respondents into groups with high and low levels of academic performance. The study identified special aspects of self-control of military university cadets with different levels of academic performance manifested in the orientation of voluntary self-adjustment. The authors determined the features of voluntary self-adjustment of cadets with a high level of academic performance manifested in the presence of the pronounced perseverance in educational activities, friendliness towards fellow students, and the pronounced cognitive need; identified features of voluntary self-adjustment of cadets with a low level of academic performance manifested in the lack of self-control and critical assessment of actions, ignoring their mistakes, and the desire to dominate in interpersonal relations.
Use of smartphones in learning and techno-pedagogical integration of artificial intelligence tools as a prospect for intelligent learning: Case of Moroccan students from Hassan II University of Casablanca

This study aims to measure the degree of use of smartphones in learning by Moroccan students, Using some techniques of artificial intelligence.This is an exploratory descriptive study in which a sample of the student population of The Ben Msick Faculty of Sciences and the Higher Normal School of Casablanca-Morocco was subjected to a questionnaire during the 2019-2020 academic year.the results were favorable, the results of this study show an average rate of use of smartphones for learning purposes by these students.They also show no statistically significant differences in this respect regarding the three variables treated, namely: sex, institution, and level of education.since students often use their smartphones for educational purposes, they will use artificial intelligence-assisted applications on their university campus.
Stilometrijska analiza slovenske pripovjedne književnosti do prve izvorne slovenske priče

STYLOMETRIC ANALYSIS OF SLOVENIAN NARRATIVE LITERATURE UP TO THE FIRST ORIGINAL SLOVENIAN NARRATIVE Quantitative approaches in studying literature already have a long tradition, reac-hing back to the period before digital humanities became an established field in the humanities. An important impetus for the establishment of quantitative methods in the humanities was provided by increasing computer power and increasingly extensive corpuses of machine-readable words. Theoretical concepts refer to the new methodological paradigms as distant reading. Even though it is supposed to replace close reading, it has repeatedly been shown that traditional research forms the necessary basis for relevant quantitative research and new relevant findings. Stylometry, or quantitative analysis of style, applies statistical methods to literary texts. The analysis entails text comparison in terms of similarities and differences in measurable text characteristics, such as the most frequent words. This is a well-pro-ven method, which, however, has certain limitations. Stylometry is a text-immanent method that does not provide absolutely valid answers or general findings about style. In addition, the definition of measurable characteristics and the comparison method used remain in the domain of the researchers and their familiarity with the material. However, it allows a simultaneous overview of a large collection of texts and hence reaches beyond the established canon incorporating trivial literature and translated literature as an important segment of national literature, especially in its early periods. Stylometric analysis identifies text patterns, which can either be confirmed by qualitative research or can indicate the necessity for a new approach to traditional research. The visualization of results of the stylometric analysis of Slovenian narrative literature from the first half of the seventeenth century to the first original Slovenian narrative in 1836 shows the development of Slovenian narra-tive literature by period, with identifiable hallmarks of certain authors, and within individual periods and genres. Certain links indicate a need for further research.
Journalist System using Tweeter News Media Traffic

Journalists have some responsibility as their duty. Besides delivering the right news to public, they also have to deliver fast. Therefore getting the potential news fast is one important key for journalist.. This study tries to use the information public from social media tweeter. Social media is considered as public information which every people can be involved. This system, starts collecting tweets which mention formal tweeter media. The application will group each tweets into various themes based on the cosine similarity. If cosine similarity is big, it can be indicated as one group news. .The tweets which are more than the certain threshold, it can be indicated as the candidate news. This candidate news is then classified into one of ten categories using support vector machine (SVM). This classification has 85% accuracy. The category classified is used for assigning the specific journalist to cover this candidate news. This system has two important modules. One in center server which is responsible for collecting and processing data, the other one application mobile which is installed in journalist is called Journes. The results show the Journes give notification to journalist for getting some candidate news.
TideRiders: Toward a Citizen-Scientist-Enabled and Institution-Supported Distributed Sensor Network for Water Quality Monitoring

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v2]TideRiders: Toward a Citizen-Scientist-Enabled and Institution-Supported Distributed Sensor Network for Water Quality MonitoringAuthors James Partan iD Michael Jakuba iD Franklin Zhang iD Patrick McGuire See all authors James PartaniDCorresponding AuthorWoods Hole Oceanographic InstitutioniDhttps://orcid.org/0000-0001-6451-7963view email addressThe email was not providedcopy email addressMichael JakubaiDWHOIiDhttps://orcid.org/0000-0002-0440-0074view email addressThe email was not providedcopy email addressFranklin ZhangiDMassachusetts Institute of TechnologyiDhttps://orcid.org/0000-0002-9030-116Xview email addressThe email was not providedcopy email addressPatrick McGuireBrookline High Schoolview email addressThe email was not providedcopy email address