Reviewerly/exHarmony huggingface dataset:
Evolution history of north Anarak, Central Iran ophiolitic olistoliths usingpetrographical and mineral chemistry studies

The Anarak ophiolite is formed along with the tectonic evolution of the Paleo-Tethys Ocean and Paleozoic, in which consists of meta-peridtites of mantle and crust, cumulate rocks, massive gabbros, pillow lava, basic and ultrabasic dikes, rodaingite and listwanite that all covered by schist and marble units. The olistolithic patches of the Anarak ophiolite have commonly exposed in Sebarz schist, within the sole of Chah-Gorbeh complex. Olistoliths composed of listwanite, meta-mafic, serpentinite and meta-peridotite olistoliths that vary from centimeter to several hundred meters, in size. Results of electron microprobe analyses shows that the fundamental rock-forming minerals of the listwanitized olistoliths are composed of chromian spinel and pyroxene, secondary minerals include calcite, garnet, tremolite, cholorite, magnetite and opaque minerals. Meta-mafic olistoliths composed of chromian spinel, sphene, epidote, chlorite and opaque minerals; Serpentinity olistoliths composed of chromian spinel, magnetite, tremolite, talc and chlorite. It also shows that the meta-peridotite olistoliths composed of chromian spinel, chrom-bearing magnetite, chlorite, calcite, garnet and antigorite. Based on the geochemical analyses, Cr# in the listwanite patches, meta-mafic, serpentinite and meta-peridotite olistoliths are 87.40-97.92, 49.38-51.89, 49.22-60.05 and 29.76-55.97 respectively with very low amount of TiO2. The very chemical composition of minerals in the North Anarak complex shows different petrogenesis for ophiolitic olistoliths suggests characteristic of the MORB and/or supra-subduction zone.
Breast Cancer Detection with Transfer Learning Technique in Convolutional Neural Networks

Medical imaging plays a major role in disease diagnosis. It helps the physicians to look into the human body which is impossible otherwise. Computer Aided Diagnosis is gaining popularity in the detection of tumors from radiology images. Cancer is one of the most feared diseases as the survivors of the disease are very few. But when treated early one can actually increase the survival rate. In this research work MRI images of breast are used to identify and classify the tumors present in the image as either benign or malignant[1]. Convolutional Neural Network is a deep learning algorithm that is gaining lot of popularity in computer vision problems. They tend to produce promising and accurate results for image classifications as the one targeted here.  As medical data are very sparse and difficult to obtain it is not possible to create a neural network and train from scratch as it requires huge amount of data. Transfer learning technique is used to handle this issue. Three pre trained models namely, VGG19, ResNet50 and Xception are employed here for the classification process and their results were studied individually. It proved that transfer learning improves the performance of the models as compared to the existing systems. And among the three pre-trained models VGG19 and ResNet50 came up with 98% accuracy and Xception showed a slightly lower value of 96% which also seem to be a pretty good performance when compared with existing systems that do not use transfer learning techniques.
[Evaluation of the quality of human settlement in downtown Fuzhou based on multi-source data].

The objective evaluation of human settlement in cities helps find the problems exposed in urban development and make targeted adjustments to improve urban environment. Taking the downtown of Fuzhou as the research area, the residential area as the research unit, using multi-source data such as meteorological monitoring data, remote sensing imagery, map points of interest data (POI), and land planning data, we constructed monitoring system of urban human settlement from four aspects: environmental health and comfort, traffic convenience, city safety, and life conve-nience. The TOPSIS method was used to conduct a comprehensive evaluation of human settlement. The results showed that the human settlement level of downtown Fuzhou was quite different, which was high in the central area and low in the peripheral areas. The human settlement index was high in the middle of the urban area, low in the eastern and southern areas, with mixed high and low values in the western and northern areas. In each index layer, the characteristics of high-high agglomeration and low-low agglomeration of traffic convenience and life convenience were consistent with the distribution of high and low value clusters of the human settlement. Convenient transportation and complete service facilities had a greater impact on human settlement. The environmental health and comfort were characterized by interior low and edge high of the city, while city safety was characterized by interior high and edge low.
A General Overview of Speculative Bubbles in the Cryptocurrency Market

The high performance obtained by cryptocurrencies is due to their high returns as well as their high volatility. This article aims to analyze the speculative bubble aspect of the cryptocurrency market.A bubble appears when the value deviates from its fundamental value due to low arbitrage (e.g., low number of investors) or because of asymmetric information (e.g., opacity of the system and therefore the difficulty of valuing a crypto). Our objective is to test two hypotheses. The first one is that there is a negative relationship between the number of investors and the number of bubbles. The second one is that there is a positive relationship between opacity and number of bubbles. We study the multiple potential bubbles over the entire period from its inception to November 2020 using the PSY methodology (Phillips et al. 2015) taking into consideration heteroskedasticity issues (Phillips & Shi 2018).
Expert System Using Naive Bayes Method in Identifying Caries Disease in Human Teeth

Caries disease in human teeth is a disease that permanently destroys the inner walls of teeth and forms small holes in the teeth. The Indonesian people lack the knowledge to find information and identify tooth decay, which makes many people unaware of the consequences and dangers of this disease. Tooth decay disease is usually caused by three factors. The first factor is teeth and saliva, which are the hosts of microorganisms in the oral cavity. Bacteria and food are the second and third factors. The purpose of this research is to help the public find information about tooth decay, thus forming a branch of artificial intelligence, the expert system. Artificial intelligence is a science that allows you to build computer systems that display intelligence in different ways. An expert system is a computer program or information system that uses some knowledge of an expert. The methods used in this study are the Naive Bayes method and the model's view controller, which are implemented as a database in the PHP Codeigniter framework and MySQL. The data processed in this study is knowledge about the symptoms of dental caries obtained from experts. The test results of this method provide patients with the knowledge necessary to prevent tooth decay, with an accuracy rate of 83.61%. This expert system helps the public to recognize and obtain information about tooth decay. The Expert System can also be used to take the first step in preventing tooth decay.
PENERAPAN MODEL BLENDED LEARNING PADA PELATIHANAN DASAR CPNS PROVINSI JAWA TENGAH PENERAPAN MODEL BLENDED LEARNING PADA PELATIHANAN DASAR CPNS PROVINSI JAWA TENGAH : PENERAPAN MODEL BLENDED LEARNING PADA PELATIHANAN DASAR CPNS PROVINSI JAWA TENGAH

The purpose of this study is to determine the effectiveness of the application of the Blended Learning model in the Basic Training of Civil Servant Candidates for Central Java Province in 2021. In this study the method used is descriptive method or qualitative approach method using level 1 evaluation (Evaluating Reaction) one of the 4 evaluation levels. Kirkpatrick's model, evaluation of the training participants' reactions means measuring participant satisfaction (customer satisfaction). The results of this study, the Java Province Human Resources Development Agency has organized CPNS Basic Training with the Blended Learning model using the SIP TENAN application, according to LAN Regulation Number 1 of 2021 in article 7 paragraph (1) letter b. Blended Learning is carried out through 3 (three) parts of learning, namely independent training, distance learning and classical learning at the CPNS Basic Training venue. In addition, of the 70 respondents, all of whom were participants of the CPNS Basic Training with the Blended Learning model held in the Central Java Province CPNS Basic Training in 2021. With the results of this study it can be concluded that the CPNS Basic Training with the Blended Learning model can be applied to Basic CPNS Year 2021 and until the CPNS Basic Training in the following years and the Blended Learning model has an impact on budget efficiency and is also effective in learning.
The Effect of Culturally Familiar Literary Texts on the Student Performance in the Sri Lankan Literature Classroom

Schema or background knowledge is a vital component that helps an individual to understand a given text. There are many aspects of ‘schema’ and many studies have shown that there are different types of schema; one such being ‘culture schema’. The current study investigated the importance of culture familiarity or culture schema of literary texts on student performance with respect to two novels, namely Jane Eyre and Village by the Sea studied for Ordinary Level school curriculum. The study included the grade 10 students at an international school in Sri Lanka. The research instruments employed to gather data for the study were (1) the questionnaires administered to examine the attitudes of students towards culture familiarity, (2) the tests conducted to examine their performance in relation to nearness to culture, and (3) the interviews conducted with ten select students to examine their attitudes towards the texts and the text-related performance. The study revealed that the majority of the students found the novel based on the Asian culture (i.e. Village by the Sea) was more familiar than the one with the European culture (i.e. Jane Eyre), and the students’ cultural familiarity with the former enhanced their performance. However, the interviews showed that the culture of the country cannot always be assumed to be the familiar culture of the students; instead the way they live could be defined as their own culture. Therefore, the cultural familiarity may vary depending on their interests and the culture they admire, which can have a direct impact on their attitudes and the performance of a particular literary text.
Swarm Behaviour Optimisation Methods Based on an Original Algorithm

This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. The presented solution assumes stochastic movement of the objects in the swarm which allows them to be simple ones. Our goal was to find an optimal number of objects in the swarm. The main evaluated factors are time and energy consumption. Changing input data allowed us to designate different cases and to examine the influence of varying parameters of a single boid on a whole swarm behaviour.
在傳統市場及超市購買雞蛋掃描 QR 碼的消費者意圖與感興趣資訊之研究

Eggs play an important role in consumers’ daily diets. However, egg and its product can be contaminated with various pathogens at any stage of processing whichcan lead to foodborne illness. Therefore, the Council of Agriculture (COA) in Taiwan has comprehensively promoted a system of traceability labeling for non-packed eggs since 2015. With these in mind, this study’s purpose is to investigate whether consumers have an intention to scan QR Code in traditional markets and supermarkets for purchasing eggs.Besides this, what kind of information are consumers would prefer to receive when they scan a QR Code for egg production. To accomplish these purposes, this studywas defined into three objectives (1) to identify the major characteristic of consumer who has scanned a QR Code before, and why not?; (2) to examine traditional markets and supermarkets consumers’ intention to scan a QR Code for egg purchasing; (3) to examine what information included via the QR Code would interest consumers to scan for their egg purchasing. To go further, this study uses a quantitative research method by surveying the data from July to September 2020 based on a web-based survey throughout Taiwan. The questionnaire is designed with screening questions, logicalsetting, open-ended questions, and multiple-choice questions. Eventually, 1,112 valid responses were collected for the data analysis by using the Logit and Probit model,Bivariate Probit model application. As the results averagely show that the ratio of respondents who have scanned a QR code for their purchasing is determined at 42.09%.Those who frequently visit traditional markets for food shopping will tend to scan QR codes in traditional markets only, while frequently-visit-supermarkets shoppers dosimilarly in supermarkets only. Concerning the 10 kinds of interested information are emphasized in our study, respondents mostly are interested in the information of production certificate label, inspection, producer. Discount is unlikely favored by females, old people, and high education to scan QR code; Who have scanned QR Codebefore, will positively scan QR Code because of all the preferred information excluded discount and recipe recommendation. The findings of this study are valuable references for the policymakers, marketing planners to consider a strategic plan in the egg marketing business as well as traceability information development based on different consumer demographic groups in traditional markets and supermarkets in Taiwan
Situated conditional reasoning

Conditionals are useful for modelling many forms of everyday human reasoning but are not always sufficiently expressive to represent the information we want to reason about. In this paper, we make a case for a form of situated conditional. By ‘situated’, we mean that there is a context, based on an agent's beliefs and expectations, that works as background information in evaluating a conditional, and we allow such a context to vary. These conditionals are able to distinguish, for example, between expectations and counterfactuals. Formally, they are shown to generalise the conditional setting in the style of Kraus, Lehmann, and Magidor. We show that situated conditionals can be described in terms of a set of rationality postulates. We then propose an intuitive semantics for these conditionals and present a representation result which shows that our semantic construction corresponds exactly to the description in terms of postulates. With the semantics in place, we define a form of entailment for situated conditional knowledge bases, which we refer to as minimal closure. Finally, we proceed to show that it is possible to reduce the computation of minimal closure to a series of propositional entailment and satisfiability checks. While this is also the case for rational closure, it is somewhat surprising that the result carries over to minimal closure.
Comparative Analysis of Models for Abstractive Text Summarization

In present scenario, there is a huge amount of data on the web. It is becoming challenging to access any information from this data. Text summarization is an important solution for relevant information extraction. In this paper, four basic models of deep learning techniques are successfully applied on CNN/Daily mail data set. This will help researcher to understand the basic models and its implementation for text summarization. These models explain how attention mechanism affects the models. The results are evaluated using ROUGE scores.
Design of Intelligent Health-Care System based on STM32

In order to solve the contradiction between the pressure of young people’s life and the health care of the elderly, and how to make the young people work well and take care of the elderly at the same time, this paper designs an intelligent health care system, which uses the Internet of Things and embedded technology to record and monitor the blood pressure, weight, heart rate, etc. of the elderly at home. This intelligent health care system takes the main approach of STM32 with a modular structure and finally displays the situation of the elderly at home through a GUI interface. The test results show that the system allows young people to monitor their parents’ physical condition and deal with it in time, which can effectively improve the happiness index of the elderly at home.
Design of a Trustworthy and Resilient Data Sharing Platform for Healthcare Provision

Healthcare data sharing platforms have been gaining prominence over the last decade, especially with the emergence of technologies dedicated to increase system security and users’ privacy. Moreover, these platforms are becoming less centralised as time progresses, with need for more data from a variety of locations and settings to be transferred between authorised parties. These requirements also include legal and ethical concerns when creating such solution. Through data sharing, organisations can gain access to previously unknown information or higher quality data, share research findings, and make decisions based on larger (and hopefully more representative) datasets. Such platform should be resilient to attack or loss of data and be able to recover quickly and efficiently from unexpected events. This paper focuses on the blend of emerging technologies (data lake and blockchain) in a design to provide secure and resilient data sharing to only those patients and healthcare professionals authorised to access it across multiple European countries.
PENGARUH MINAT MEMBACA SISWA TERHADAP PRESTASI BELAJAR BAHASA INDONESIA SISWA KELAS III MIN 3 PURWOREJO

This research is field research that looks at the problems of reading interest on learning Bahasa Indonesia in grades III at MIN 3 Purworejo with the problems and how students reading interes, how is the achievement of Indonesian students in grade III and is there an effect of reading interest on Indonesian learning achievement achieved by students grade III at MIN 3 Purworejo. Therefore, the writer raised the title “The Influence of reading interest on Indonesian learning achievement of grade III students of MIN 3 Purworejo”. This type of research is quantitative research using inferential statistical techniques, namely statistical techniques, namely statistical techniques used to analyze sample data and the results aplly to the population. Research location at MIN 3 Purworejo. Furthermore, the population in this study were all grade III students at MIN 3 Purworejo. Data collection techniques were collected through questionnaires, interviews, and documentation which were then analyzed through parametric statistical statistics with a simple Linear regression formula. Based on the results of research and statistical analysis carried out using a simple linear regression formula, the results of the calculation of Pearson’s Product Moment correlation indicate that the statue = 0,828 &gt; ttabel = 0,297 with a significant level of 5% means that reading interest has a strong relationship with Indonesia learning achievement. The result of the ttest calculation shows that thitung = 9,802 &gt; tabal = 2,000 with a significance level of 5%. The result of the calculation of the test Fcount = 96,070 and Ftabel =2,2 with a significant level of 5% the result of the coefficient (R2) = 0.686 whitch show that reading interest affects the Indonesian language learning achievement by 68% while the other 32% is influenced by other factors.
AN ANALYSIS ON ENGLISH TEXTBOOK ENTITLED “LET’S LEARN ENGLISH” FOR THE TENTH GRADER OF SENIOR HIGH SCHOOL BASED ON THE BASIC COMPETENCE OF THE 2013 CURRICULUM

There are so many textbooks published to support the teaching and learning English. The teacher uses textbook as a guide to teach English in the classroom. Every textbook must have different characteristic and quality, so that affect the learning process for each student. Due to that condition, not all textbooks are suitable to fulfill the students’ needs and appropriate with the 2013 curriculum in this country. Thus, the textbook really needs to be analyzed and evaluated to improve its quality and values. This research analyzes an English textbook entitled “Let’s Learn English” for the tenth grader based on the 2013 Curriculum. The assessment used is the rubric from BSNP which in line with the core and basic competence. The purpose of this study is to analyze the conformity of the textbook with the core and basic competence of the 2013 curriculum. This research uses a descriptive qualitative approach which consists of more explanation in detail. The data source of this research is an English textbook entitled “Let’s Learn English”. The researcher conforms the materials of textbook to the Core and Basic Competence of the 2013 Curriculum using the rubric assessment form BSNP. The researcher uses document analysis as the method of collecting data. Finally, the researcher concludes that not all the chapters of textbook entitled “Let’s Learn English” are appropriate and fulfill the compatibility with the core and basic competence of 2013 Curriculum. The researcher found that only 62,5% of the materials which fulfilled the core and basic competence of the 2013 curriculum and compatible with the rubric criteria of BSNP. Keyword: English textbook, core and basic competence, 2013 curriculum, rubric assessment
The Effects of Online Games on Emotion and Executive Function of College Students

Despite the adverse consequences associated with playing risky online games, their popularity is increasing. Prior literature on online games has focused on identifying adoption factors without taking associated risks into consideration. In this study, we examine the factors that drive individuals to play online games in the presence of cybersecurity risks such as physical and psychological risks associated with online games. We draw on the information gap theory of curiosity to investigate the impact of security risk awareness and curiosity on the intention to play online games. Using a hypothetical scenario that simulates a real event and a total of 301 responses collected using Amazon Mechanical Turk platform and analyzed using LISREL 8.80, we provide evidence of how the awareness of threats incites curiosity and invites exploratory behavior that can lead to undesirable consequences. Our results reveal that security risk awareness has a positive and significant effect on both perceived risk and curiosity, while curiosity has a negative effect on perceived risk and a positive effect on the intention to play an online game. This study contributes to the literature on online games by adding the role of cybersecurity awareness as a predictor of curiosity, which in turn leads to risky behavior of playing online games. The study introduces curiosity as a critical factor that has valuable cybersecurity implications in the context of online gaming.