Reviewerly/exHarmony huggingface dataset:
Effectiveness of the Physics Crocodile Software Program in Enhancing Exploration Skills among Grade (8) Students and their Attitudes toward the Program

This study aimed to evaluate the effectiveness of the Physics Crocodile software Program to enhance the exploration skills among eighth grade pupils and their attitudes toward using the program. The researchers used both semi-experimental and descriptive methods to achieve the objectives of the study. An achievement test was built to measure the effectiveness of using the Physics Crocodile Software Program on the sample. Moreover, a questionnaire was also used to assess students' attitudes toward using the Physics Crocodile Software Program. These tools were administered to a sample of (40) students of grade eight, divided equally into 2 groups: the experimental group and the control group. The study results showed statistically significant differences between the experimental group and the control group in the post-test. However, there was a positive attitude in using the program among the experimental group. The study recommended integrating educational software programs into traditional teaching methods, so as to use it in all school subjects.&#x0D; Keywords: physics crocodile, exploration skills.
Firmware Resiliency: Recovery

This chapter describes a critical aspect of platform resiliency – recovery. This supports the availability aspect of the CIA triad of confidentiality, integrity, and availability. If the platform detects that the integrity of components, including code or data, is broken, the platform needs to restore the components to a known good state. This process is called recovery. It is the last element in firmware resiliency. The recovery process is a variant of the update process. It updates the system to an old state. As such, all guidelines for the update should be followed in the recovery process, such as signature checking and version checking.
An Improved detector to reduce the complexity in higher order Hierarchical modulated system

ABSTRACTIn order to provide spectral efficiency in Digital video broadcasting ,the local content and global content are transmitted in single frequency Network with  Hierarchical modulation. Hierarchical modulation is a technique where two signals namely the high priority and low priority signals are embedded in a single constellation before transmission. Since the high priority signal determines the quadrant in which the signal falls and the low priority signal determines the location of the signal within the quadrant. High priority signal is always QPSK modulated and the low priority signal is Quadrature amplitude modulated .At the receiver the detection of the signal requires different decision rules for both streams. The High priority signal requires four decision rules and Low priority signal requires M rules framed with non zero threshold values for M order Hierarchical modulated QAM (HQAM)signal. This provides complexity to the system .In order to overcome that, a detector is proposed in this paper which requires same four zero threshold decision rules for both High priority and low priority stream.
RARE-EARTH ELEMENTS MINERALS PLACER DEPOSITION MODELING FROM SATELLITE MULTISPECTRAL REMOTE SENSING IMAGING IN A SECTION OF NORTH CAROLINA’S NORTHERN ATLANTIC FALL ZONE TRANSITION

The advent of multispectral satellite imaging has allowed surface material investigations to be performed remotely, even via Earth observation satellite campaigns. Using light wavelength ranges in both the visible and non-visible spectra, these images can be utilized to interpret surface lithologies and placer mineral deposits. This study has used both combinations and ratios of spectra bands within the visible (0.45 µm - 0.67 µm), near infrared (0.85 µm – 0.88 µm), and shortwave infrared (1.57 µm – 2.29 µm) light wavelength ranges from imagery acquired by the medium-spatial-resolution scene capturing Operational Land Imager (OLI) onboard the Landsat 8 satellite (an Earth observation collaboration between NASA and USGS) in order to locate surface deposits of iron oxide- and hydroxyl-rich materials. In humid environments lateritic deposits are frequently associated with phosphate minerals such as monazite, which is one of the most abundant rare earth-bearing phosphate minerals. High-density siliciclastic minerals, such as zircon, have recently been observed in the coarse fractions of mined kaolins to be potential and significant sources of rare-earth elements (REE). By identifying areas rich in iron oxide- or hydroxyl-bearing minerals, then comparing these identified areas to other sources of lithologic data - including previously constructed geologic maps and drilling borehole records, this study anticipates aiding in locating areas of high potential for REE-bearing minerals recovery.
Semantic Classifier Approach to Document Classification

We propose a new document classification method, bridging discrepancies (so-called semantic gap) between the training set and the application sets of textual data. We demonstrate its superiority over classical text classification approaches, including traditional classifier ensembles. The method consists of combining a document categorization technique with a single classifier or a classifier ensemble.
PERILAKU MEROKOK SISWA SEKOLAH DASAR (SD) KECAMATAN KAMPAR KIRI KABUPATEN KAMPAR

Riau province, second largest cigarette smoker, 24.2% per day, the second largest average number of cigarettes smoked in Riau in 2013 was in Kampar Regency Sebayak (17.8%), (Riskesdas, 2013). Based on the initial survey, observation and interviews with SD 004 Domo students, on 15 male students, 9 of whom had smoked. The aim of this study was to determine factors related to smoking behavior in students of SDN Kampar Kiri District, Kampar Regency. This research is a quantitative analysis with a transversal conception. The male student population was 100 respondents, consisting of 3 elementary schools in Kampar Kiri district, Kampar Regency, namely SDN 004 Domo Village, SD 002 Kuntu and SD 011 Kuntu. Questionnaire measurement tool. The sampling technique in this study is to use the total sampling technique with criteria. Data analysis Univariate and bivariate analysis with the chi-square test. The results of the study show a relationship between knowledge (P-value = 0.017
PEMBENTUKAN KARAKTER ANAK GEMAR MEMBACA MELALUI PEMBACAAN BUKU CERITA

This study aims to determine the process of building children's character who likes reading through reading story books.The research objectives are knowing the storytelling process and the benefits of storytelling in building the character of children who love reading.Qualitative research methods with a case study approach.The source of research data is one community leader, two managers of the Taman bacaan Permata Hati, and one person from the education office.Collecting data through interviews with key informants, direct observation of research objects, and literature studies.Test the validity of the data through triangulation.Descriptive data analysis through stages of reduction, presentation, and drawing conclusions.The results showed that the storytelling process to build the character of children who love reading is to set goals, form of storytelling, supporting facilities, storytelling steps, and assessment design.
Improving the Performance of Various Privacy Preserving Databases using Hybrid Geometric Data Perturbation Classification Model

As the size of the privacy preserving databases is increasing, it is difficult to improve the privacy and accuracy of these databases due to dimensionality and runtime.However, most of the traditional privacy preserving models are independent of privacy and runtime.Also, it is essential to preserve the privacy of the large sensitive attributes before publishing it to the third-party servers.As a result, a novel framework is required to improve the privacy as well as accuracy on the high dimensional privacy preserving data with less runtime.In order to improve the privacy, accuracy and runtime of the traditional privacy preserving models, a hybrid perturbation based privacy preserving classification model is proposed on the multiple databases.In this work, a new data transformation approach, hybrid geometrical perturbation approach and hybrid boosting classifier are proposed in order to enhance the overall efficiency of the model on the privacy preserving databases.In this work, a hybrid geometric perturbation approach is used to enhance the privacy preserving on the sensitive attributes.Initially, a pre-processing method is applied on the input dataset in order to remove the noise in the feature values.A hybrid machine learning classifier is proposed to predict the privacy preserving class label based on the training data.Experimental results represents the proposed hybrid geometric perturbation based boosting classifier has better statistical accuracy, recall, precision and runtime than the conventional models.
Dataset of Slovene idiomatic expressions SloIE

SloIE is a manually labelled dataset of Slovene idiomatic expressions. It contains 29,400 sentences with 75 different expressions that can occur with either a literal or an idiomatic meaning, with appropriate manual annotations for each token. The idiomatic expressions were selected from the Slovene Lexical Database (http://hdl.handle.net/11356/1030). We selected only expressions that can occur with both a literal and an idiomatic meaning. The sentences were extracted from the Gigafida corpus.For each sentence, the file first contains the text of the sentence prefixed by #. This is followed by a line of numbers indicating the positions of tokens that belong to the expression. The numbers also indicate the word order for expressions where the word order is flexible. They are ordered according to the dictionary form of the expression (e.g., the first number indicates the position where the first word of the expression - in its dictionary form - occurs). Each token is labelled with either 'DA', indicating tokens in an expression that have an idiomatic meaning, 'NE', indicating tokens in an expression that have a literal meaning, or '*', indicating tokens outside the expression. Additionally, 'NEJASEN ZGLED' indicates tokens where the annotators could not determine the meaning from the example sentence. Each token is also tagged with the dictionary form of the expression that is present in the sentence.Key reference: Skvorc, Tadej, Polona Gantar, and Marko Robnik-Sikonja. MICE: Mining Idioms with Contextual Embeddings. arXiv preprint arXiv:2008.05759 (2020).
Development of the theory of research education in the national school (for the period from the late 19th century and to the beginning of the 20th century).

The article contains the results of a historical and pedagogical research aimed at studying the first stage of establishment of methods of research training in the National school. It was shown that the progressive pedagogical idea of the second half of the XIX – the beginning of the XX century had made a positive comprehensive assessment of the method of research training. The analysis of A. Hert’s works helped find out that Hert had been the first to carry out a distinction of methods of research education based on the research activity level of students. He also suggested a rather neat typology of the education methods. The study of scientific papers written by V. Polovtsev, B. Raikov, S. Sozonov and other scientists provided with a chance to determine the ways of genesis of methods of research education.
1인 미디어 무용 콘텐츠 현황 분석 -유튜브를 중심으로-

The purpose of this study is to analyze the current status of dance content in YouTube, which is a representative platform of personal media. The research not only demonstrated the motivation and purpose of the 11 creators to start their personal media content, but also revealed that they had changed before and after their career. In addition, this study identified the future direction of the professional dance channel through figuring out the pattern of changes in content types and the relationship between contents and users’ inflow over the period of the creators’ activity. Furthermore, the importance of creating dance video contents as a dance communicators in the era of one-person media was recognized. The overall findings of this study indicate that it will be necessary to recognize the ascendancy of the digital-based untact industry in preparation for the post-corona era and also institutional, educational and content-based efforts will be needed to foster one-person media creators in the future.
Evaluation of Forensic Accounting Techniques in Fraud Prevention/Detection in the Banking Sector in Nigeria

The study evaluated the application of forensic accounting techniques in preventing/detecting fraudulent practices in commercial banks in Nigeria by specifically assessing the impact of commercial data mining, ratio analysis and trend analysis techniques in fraud detection/prevention. With the aid of descriptive statistics and Ordinary Least Square (OLS) model, the result revealed the application of forensic accounting techniques significantly enhanced detection/ prevention of fraud in the banking system. The study further revealed the importance of ratio analysis as well as trend analysis techniques in fraud detection/prevention. Also the study revealed the importance of commercial data mining software in fraud detection/prevention and the lack of capacity and awareness of most staff of the workings of data mining technology as well as the use of trend analysis technique in detecting/preventing fraud in the banks. It was recommended that commercial banks should mandatorily be required to acquire robust data mining software facilities as well as enhanced training on the application of data mining and its usefulness in the banking sector. Also, use of anonymous response hotlines be encouraged as well as extensive awareness put in place for the attention of the public as well as quick responses from the banks to queries.
THE EFFECT OF USING PEER FEEDBACK TECHNIQUE IN TEACHING WRITING AT ELEVENTH GRADERS OF SMA WALISONGO PECANGAAN IN THE ACADEMIC YEAR OF 2018/2019

This study intends to find out the effect of using peer feedback technique for eleventh grade students of SMA Walisongo in writing explanation text. This study was conducted in Mei 2019 at SMA Walisongo Pecangaan. The researcher used quasi-experimental research. Forty four students were selected as the sample of this research. The sample included two groups, the experimental group and the control group. The experimental group was treated by using peer feedback technique, while the control group was not. The data were gathered through test, either pre-test or post-test. Pre-test was conducted before the treatment that has the purpose to know the basic students’ writing skill in writing explanation text. Post-test was conducted after the treatment. The goal of post-test was to find out the effect of peer feedback technique in students’ writing skill. In analyzing the data, the writer used normality test to reveal that the data has the normal distribution, homogeneity test to reveal that the samples has homogenous variant, and independent sample t-test for testing the hypothesis. The result showed the increasing students’ Mean score in experimental class, 68.86 for pre-test and 79.23for post-test. According to the t-test calculation in significance level of 5%, it showed the value of t observation was higher than t table  ). It meant that the null hypothesis (H 0 )was rejected and the alternative hypothesis (Ha) was accepted. It concluded that teaching writing by using peer feedback technique is effective and give the positive result.
KEYWORD SEARCH-BASED DATA INTEGRATION BY NEW SOURCES

Now a days scientific data offers some of the most interesting challenges in data integration. Scientific field evolve rapidly and accumulate masses of observational and experimental data that needs to be annotated, revised interlinked and made available to other scientists.  From the user point of view, this can be major headache as the data they seek may initially be spread across many databases in need of integration. The purpose of this paper is to present recent ideas for creating integrated views over data sources using keyword search techniques, ranked answers and user feedback to investigate how to automatically discover when a new data source has content relevant to a user’s view – in essence, performing automatic data integration for incoming data sets.
Distinct identity information encoded in FFA and OFA

The human brain contains several face-selective regions that consistently respond more to faces than other visual stimuli (Kanwisher et al., 1997), and activity in some of these regions can distinguish between different face identities. Studies using fMRI multivariate pattern analysis have shown that face identities can be distinguished based on their elicited response patterns in the fusiform face area (FFA), occipital face area (OFA), posterior superior temporal sulcus (pSTS), and anterior inferior temporal lobe (e.g. Nestor et al., 2011; Verosky et al., 2013; Anzelotti et al., 2014; Axelrod & Yovel, 2015; Tsantani et al., 2019). But do all these regions distinguish between identities in similar ways? We investigated what types of identity-distinguishing information are encoded in three face-selective regions: FFA, OFA, and pSTS. In an event-related fMRI study, 30 participants viewed videos of faces of famous individuals. We extracted brain patterns elicited by each face in each region and computed representational distances between different identities. Using representational similarity analysis (RSA; Kriegeskorte et al., 2008), we investigated which properties of the face identities best explained representational distances in each brain region. We built diverse candidate models of the differences between identities, ranging from low-level stimulus properties (pixel, GIST, and Gabor-jet dissimilarities), through higher-level image-computable descriptions (the OpenFace deep neural network), to complex human-rated properties (perceived similarity, social traits, and gender). We found marked differences in the information represented by difference face-identifying regions. Dissimilarities between face identities in FFA were well explained by differences in perceived similarity, social traits, gender and by the OpenFace network, trained to cluster faces by identity. In contrast, representational distances in OFA were mainly driven by differences in low-level image-based properties (pixel-wise and Gabor-jet dissimilarities). Our results suggest that, although FFA and OFA can both discriminate between identities, they encode distinct information about faces.
Toward reducing the operational risk of emerging technologies adoption in central counterparties through end-to-end testing

Emerging technologies, such as artificial intelligence (AI) and distributed ledger technology, are increasingly being adopted by financial institutions, promising functional efficiency and cost reduction to stakeholders and users. However, the structural and functional changes associated with the technological transformation of software platforms pose significant operational risks. While some aspects of these risks are well known and studied (such as AI trustworthiness, data privacy and consistency, platform availability and information security), others are underestimated. The extreme complexity and nondeterministic nature of existing technology infrastructures still need to be addressed, as they will soon be inherited by the platforms built with new technologies. The only way to mitigate these risks is extensive endto- end professional testing. This paper discusses the software-testing challenges of traditional central counterparties as well as the risks, biases and problems related to new technologies. It also outlines a set of requirements for an end-to-end validation and verification solution aimed at the new generation of clearing platforms. Focusing on one of the most common use cases in the capital markets industry, this paper considers the challenges posed by the introduction of blockchain and AI into the post-trade area.
MAINTAINING CONNECTION DURING COVID-19 REMOTE DELIVERY OF TEACHING BY USING A LEARNING JOURNAL

Hallmarks of earth sciences courses include a strong cohort experience and strong connections between students and staff; both are often developed and enhanced by field work and generally smaller class groups. Student engagement and connection was one of many issues that I was concerned about as our teaching and learning changed so dramatically in response to COVID-19 restrictions. Given the importance of reflection for both learning and wellbeing, I wanted to provide a structure and some quiet moments for students. I developed a weekly learning journal to provide a place for students to document their process, their challenges and their successes. The journal included course-related questions for reflection on learning and to encourage the making of connections as the course progressed. There was also at least one wellbeing question, and one light-hearted question (e.g., translate “I am a geologist” into three different languages). To incentivise submission, the exercise was 10% of the subject mark. I completed the same journal questions and posted my journals for students to read. The completion rate across two subjects (n = 39, total possible submissions = 429) was 94%. Feedback was very positive and I will retain the learning journal when face-to-face classes return.
Individual And Collective Memory: Old Problems And New Challenges

The author analyzes memory as a constituting factor of individual and collective identities. Current threats to individual and collective memories is investigated in the context of new information and communication technologies. It is shown that the extension of the part of memory (mobile telephone, Internet) can be used for controlling human behavior and interfering in the content of individual me­mory. The interference in collective memory is made both with destruction of its storages (monuments, museums, texts, arts, “memory places” etc.) and changing its sense. The change of individual and collective memory means the change of&nbsp;individual and collective identities. The author studies relations between dif­ferent collective memories, as well as the relation between collective memory as an&nbsp;experienced tradition and historical knowledge (historical memory) as a result of the works of professional historians, trying to get objective knowledge about the past. It is shown that the work of an historian is influenced by values and ideo­logies which results in different understanding of the same events by different scholars. It is shown how this problem can be solved. The thesis about urgency of dialogues between an individual and collective memories, between different collective memories, between collective and historical memories, between dif­ferent historical memories is defended. The experience of the past determines the&nbsp;future. The memory conflicts lead to collision between people, countries, cultures