Reviewerly/exHarmony huggingface dataset:
A sequence of temporally separated element peaks; the fingerprint of a biogeochemical event initiated by sedimentary exhalative (SEDEX) brine expulsion

&amp;lt;p&amp;gt;The Ireviken Biogeochemical Event (IBE) consists of the Ireviken Extinction Event (IEE) and is superseded by the Ireviken positive d13Ccarb Excursion (ICIE). During the Ireviken Extinction Event 80% of the conodont species and 50% of the trilobite species went extinct and Acritarchs, chitinozoans, graptolites, corals, and brachiopods communities were severely affected as well. Currently there are no indications that the Ireviken Biogeochemical event can be linked to a LIP or a bolide impact which are the usual triggers for most known biogeochemical events. The IBE has been tentatively linked to SEDEX brine expulsion, however convincing high-resolution data supporting the SEDEX brine expulsion theory was lacking.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Altajme core from Gotland Sweden covers the entirety of the Ireviken Biogeochemical Event and using an ITRAX XRF core scanner&amp;amp;#160; we were able to create a new dataset with a 1cm(~150-400 yr.) resolution. This dataset enables us to shed new light on the origin of the IBE and serves as a template for a cyclostratigraphic age model (using the detrital proxies of Ti and Al) which puts the IBE within a precise temporal framework.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The occurrence of peak values of Nb, Mn, Cu, Ba, Pb, Zn, As, Ag in the Altajme core follows the temporal sequence of element peaks which is characteristic for the cooling of a hydrothermal system. A Pb:Zn ratio of &amp;gt;1 and low Cu/(Zn+Pb) ratio categorises the hydrothermal system as being the sedimentary exhalative (SEDEX) brine expulsion type system. Through these results we can undoubtedly link the Ireviken Biogeochemical Event to a SEDEX brine expulsion. Numerous SEDEX style ore deposits of Proterozoic to Cenozoic age are known, but it has been difficult to connect them with similarly aged biogeochemical events. &amp;amp;#160;This study demonstrates that through extremely high resolution XRF/element data we can observe the far-field signature of a SEDEX brine expulsion and thus showing us the way to recognize more biogeochemical events triggered by SEDEX brine expulsions.&amp;amp;#160;&amp;lt;/p&amp;gt;
FINANCIAL FRAUD DETECTION USING LOGISTIC ALGORITHM

This paper presents the Gaussian Naive Bayes for Fraud Detection of the credit card. The aim is to boost the accuracy and enhance the flexibleness of the algorithm. The first target of this project is to perform an investigation on the credit cards fraud detection dataset utilizing ML procedures and distinguish the deceitful exchanges from the given dataset. Diverse examining methods are executed to handle the category irregularity exchange issue and arrangement of ML calculations like Logistic Regression and Gaussian naive Bayes are going to be actualized on the dataset, and the outcomes are going to be accounted for with estimating the data credited utilizing proposed calculations with more exactness and adequacy. During this paper, fraud classification using ML algorithms is proposed. This technique uses logistic regression to make the classifier stop frauds in credit card transactions. To handle unwanted data and to make sure a high degree of detection accuracy, a pre-processing step is used.
Peningkatan Hasil Belajar IPS Melalui Penggunaan Media Gambar Pada Siswa Kelas IV SD Inpres Bertingkat Mamajang I Kota Makassar

This study aims to determineincreasing social studies learning outcomes through the use of image media in class students IV SD. The approach in this research is qualitative with the research subjects being teachers and 25 grade IV SD students. Data collection techniques used in this study were observation, tests. While the data analysis used was qualitative and quantitative. In the implementation of observations of teachers in cycle I had not fully implemented the use of image media well, while in cycle II the teacher had implemented the use of image media well, then in student observations it was found that the average value of student learning outcomes in social studies lessons was in a low category (R). Whereas in the first cycle the average value of student learning outcomes was in the medium category (S) and the second cycle the average value of student learning outcomes got the high category (T). From the research findings and the provision of teaching and learning actions, it can be concluded that with the use of image media, social studies learning outcomes increase in grade IV SD students Mamajang 1 Tiered Presidential Instruction of Makassar City increased.
THE IMPORTANCE OF IMPLEMENTING INTERACTIVE METHODS IN ECONOMIC EDUCATION

The system of continuing education in our republic, being one of the most important social institutions in the context of the modernization of social spheres and sectors of the economy, performs educational, educational, economic, social and cultural functions. To ensure their successful implementation, pedagogical conditions must be created that form students creative and independent thinking, professional maturity and high spirituality.
A Framework for Large-Scale Automatic Fluency Assessment

Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading fluency assessments evaluate the ability to read reference texts. However, even though the use of applications to collect the reading of the students avoids logistics costs and speeds up the process, the evaluation of recordings has become a challenging task. Therefore, this work presents a computational solution for large-scale precision-critical fluency assessment. The goal is to build an approach based on automatic speech recognition (ASR) for the automatic evaluation of the oral reading fluency of children and reduce hiring costs as much as possible.
Trailer Caravan In Traffic [1.36]

Trailer Caravan in traffic Conversion to ETS2 Micha-BF3 Wheels from the Capelle Correction to the current version of the game and registration in ...
예비교사의 과학교과서 학습 과정 중에 나타나는 ‘화살표’에 대한 시각적 주의 및 ‘화살표’의 시선 행동 유도성 분석 : ‘날씨와 우리 생활’ 단원을 중심으로

The purpose of this study was to investigate and analyze pre-service teachers' eye-movement in science textbooks in the learning process, whether they perceived “arrow” presented in textbooks, and changes in eye-movement by arrows. For the study, an eye-tracker, a eye-movement tracking device, was used, and 10 pre-service teachers attending a teacher training college were selected and conducted. The science textbook unit used in the research was the “Weather and Our Life” unit, one of the areas of earth science. As a result of the study, first, it was investigated that pre-service teachers devote more time to texts rather than illustrations in the learning process of science textbooks. Second, it was analyzed that pre-service teachers did not pay attention to the “arrow” presented in science textbooks. Third, it was confirmed that in order for “affordance of the eye-movement by arrow” to occur, sufficient concentration on “arrow” should be made. These findings suggest the importance of the learner's visual attention to learning elements in science textbooks such as “arrow”. In addition, it suggests the importance of developing a textbook editing design that can induce visual attention to learning elements in textbooks through eye-movement research data for effective learning.
Face Detection and Recognition

Facial identification in photos or videos is a common theme in biometrics research. Many public places usually have video capture surveillance cameras and these cameras are very important for protection. Facial recognition has traditionally been recognized as a significant factor in the monitoring framework, as it does not require the cooperation with the object. The real advantages of facial authentication over other biometrics are their singularity and identification. Since the human face is a highly diverse dynamic object, computer vision makes face recognition a challenging question Accuracy and speed of identification are the main challenges in this field. This paper aims at testing various facial detection and recognition methods as an initial video monitoring phase for image-orientated face detection, and provides an entire solution with greater accuracy, greater response time. The method is recommended for subjects, posture, emotions, race and light, based on studies carried out on various face-rich databases.
Design Keyword Generation Method based on Similarities of Co-occurrence Word

Design is said to be an activity to solve the inverse problem and difficult to be solved. This study developed a design support system to generate design keywords automatically in the early process of design. The system employs the concept of a design models (Multispace design model) and the Word2vec (language modeling and feature learning techniques in natural language processing). To confirm the effectiveness of the proposed system, we conducted the design experiment and confirm the increase in the number of the keywords and design ideas by the participants.
Exploration and Prediction of Crime Data Through Supervised Machine Learning Algorithms

The technique of obtaining meaningful information or knowledge from vast data sources is known as machine learning.Large quantity of information is gathered throughout criminal investigation process and only valuable information is necessary for analysis.So, Machine Learning may be employed for this purpose.Selection of certain Machine Learning approach has larger effect on the outcomes achieved.This is major rationale for the performance comparison and selection of top performing Machine Learning algorithm.Classifying instances using a Decision Tree is a basic notion that anybody can comprehend.It is a Supervised Machine Learning as Decision-Tree-Classifier (DTC) in which the data is segregated according to a particular parameter and supervision is continually performed.Machine learning has only recently begun to find greater adoption in both research and practise, and as a consequence, the bulk of current implementations employ data mining and Decision-Tree-Classifier (DTC) approaches.These specific computations have an accuracy of over 43 percent, which is very excellent when consider that are judging crimes from massive data and places.
Сохранение наглядности при переходе от преобразований моделей А социониче-ских типов к преобразованиям их символьных обозначений

This article is the twenty-fifth in a series of publications devoted to the didactics of mathematical methods of socionics. This time, two representations of operators of classical intertype relations are compared. In one case, the operators are represented by visual schemes of transformations of A-models of types of information metabolism. In the second case, formalized notation of operators is used, and the types are represented by socionic symbols. It is shown that clarity takes place in the second case as well. The transformations of symbolic designations of socionic types are reflected in the new designations of operators.
DESAIN DAN UJI COBA LEMBAR KERJA PESERTA DIDIK (LKPD) BERBASIS PROBING-PROMPTING PADA MATERI SISTEM PERIODIK UNSUR

This research is motivated by students' chemical mastery in learning is still low, especially for abstract concept/theory material. This can be seen from students being less active and lacking memory in following the learning process. In addition, schools only rely on textbooks that make students less interested in learning and there is no student workbook to support students' understanding. This research aimed at knowing the appropriateness of the instructional media design in the form of Probing-Prompting based student workbook on Periodic System of the Elements lesson. It was administered at State Islamic Senior High School 1 Pekanbaru. It was R&amp;D (Research and Development) with 4-D model, and it was limited to 3 models—define, design, and development. The subjects of this research were the experts of material, the experts of media, and the experts of language, Chemistry subject teachers, 10 students at the tenth grade of MIA 1. The object was Probing-Prompting based student workbook on Periodic System of the Elements lesson. The research findings showed that Probing-Prompting based student workbook was appropriate to be used and it was based on the results of validity and practicality levels. The percentage of validity level obtained was 85.78% (very valid) and the practicality level was 85.33% (very practical). Based on theses results, it could be identified that Probing-Prompting based student workbook could be tested further.
Investigating the Validity of Partial Dictation as a Test of Overall Language Proficiency

In this study, the validity of partial dictation as a measure of overall language proficiency was examined. Two partial dictation tests along with a C-Test, a cloze test, and a reading comprehension test, as criterion measures, were administered to a group of Iranian EFL learners. The coefficients of correlation between partial dictation and criterion measures were computed. Correlations revealed that partial dictation highly correlates with the cloze test, the C-Test, and the reading comprehension test. Principal components analysis showed that all the variables (four C-Test passages, two dictation passages, one cloze passage, and one reading comprehension passage) formed one single factor which explained 58% of the variance. All the variables had high loadings on the factor. These findings were interpreted as evidence of the similarity of the construct measured by partial dictation and other measures employed in the study. Desiderata for future research and potential applications of partial dictation in foreign language testing and teaching are discussed.
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare

Training sophisticated machine learning models usually requires many training samples. Especially in healthcare settings these samples can be very expensive, meaning that one institution alone usually does not have enough. Merging privacy-sensitive data from different sources is usually restricted by data security and data protection measures. This can lead to approaches that reduce data quality by putting noise onto the variables (e.g., in epsilon-differential privacy) or omitting certain values (e.g., for k-anonymity). Other measures based on cryptographic methods can lead to very time-consuming computations, which is especially problematic for larger multi-omics data. We address this problem by introducing ESCAPED, which stands for Efficient SeCure And PrivatE Dot product framework. ESCAPED enables the computation of the dot product of vectors from multiple sources on a third-party, which later trains kernel-based machine learning algorithms, while neither sacrificing privacy nor adding noise. We have evaluated our framework on drug resistance prediction for HIV-infected people and multi-omics dimensionality reduction and clustering problems in precision medicine. In terms of execution time, our framework significantly outperforms the best-fitting existing approaches without sacrificing the performance of the algorithm. Even though we only present the benefit for kernel-based algorithms, our framework can open up new research opportunities for further machine learning models that require the dot product of vectors from multiple sources.
2019 Indonesia Presidential-Vice Presidential Debate In Corpus Linguistics Perspective

The present paper carries out a corpus linguistic analysis of the first debate of 2019 Indonesia presidential election. The study compared the speech of presidential candidate pair number 1, JW and MA, and number 2, PS and SSU, in the debate in terms of lexical diversity and linguistic features. The research employs a mixed-method research design by using two corpus technical analyses, i.e. type/token ratio and keywords. Results show that PS spoke the most, while MA spoke with the most varied vocabulary. The study also found that foreign words from Arabic in the keywords of JW, PS, and SSU are generally used to show their belief as well as to embrace the Indonesian Muslim communities. However, the Arabic words used by MA tend to show his identity as a Muslim cleric, reflecting his in-depth understanding of Islam. Unlike the Arabic word usage, foreign words from English are used more for a practical reason and to emphasize arguments, particularly by JW and PS. Additionally, the study reveals that from the lexical word-class distribution, JW tends to give more focused information and entities, while PS tends to offer more explanations to present information. All things considered, the present writers argue that corpus linguistics is an essential method to investigate actual patterns of language used by politicians to interpret further. All in all, the present research is supposed to give a methodological contribution to the study discussing the relation between language and politics.
Game Edukasi Pengenalan Negara-Negara ASEAN Untuk Siswa SMP Kelas VIII Berbasis Android

Technological developments are booming. Game or game use is particularly helpful in the learning process. At a time when materials are familiar with the countries of asean students will be more likely to get bored because the state map introduction, the capital and naturalness are only in the books, the need for a learning medium to be used by teachers so that students do not get bored quickly. The purpose of research is to make teachers easier in delivery of materials and easier students to study asean's introduction materials. The educational game was developed using multimedia development life cycle, as the result of the MDLC method (multimedia development life cycle), a introduction to countries in the asean program that matches the 2013 curriculum. The survey of 30 respondents scored an average of 92.19%, thereby falls into a category strongly in favor of the "educational introduction to asean state for siosswa middle school vii for android based" to be adopted as an alternative medium
Technology Application of Achievement Orientation Based on Semantic Key Big Data in Higher Vocational English Teaching

Taking English vocabulary learning as an example, this paper expounds the application of achievement orientation based on semantic key big data in Vocational English teaching. This paper also proposes an encyclopedic big data organization framework for online English education resources. Vocabulary is not only the foundation of English learning, but also the premise of improving the four basic skills of English listening, speaking, reading and writing. In traditional English teaching, new words are usually presented in the form of vocabulary. From the perspective of lexical meaning, words are presented in the textbook in isolation, and no background information can be used to anchor the semantic domain of words. The result of this practice is that learners lack deep understanding of vocabulary and the effect of vocabulary learning is not ideal. Advanced linguistic theories and achievements can guide language practice and promote teaching effect. This paper attempts to demonstrate that FrameNet can effectively distinguish the semantic differences of English vocabulary based on case study from the problems that online English education is faced with, such as the huge amount of resources which are difficult to organize, the lack of unified description between heterogeneous resources which are difficult to access across platforms, the lack of relationship between resources which are difficult to retrieve. This paper studies the influence of semantic features of English vocabulary on syntactic representation, and summarizes the ideas and patterns of using FrameNet to extract semantic information and syntactic information. In this paper, through lightweight resource links, we can achieve the collection of big data of educational resources in the same platform. Based on knowledge mapping, the unified semantic description and relationship description of English education resources are realized. This method eliminates the ambiguity of English resources and realizes the semantic level knowledge point association between resources.
Improving the Performance in Sentiment Analysis

Sentiment Analysis is the contextual mining of text which determines whether the given piece of words is positive, negative, or neutral.The main objective of this work is to make a system that rates movies based on the user's comments made on the movie.The system analyses the data in order to check for user sentiments associated with each comment and gathers all the comments made on a particular movie.It then calculates an average rating in order to score it.The system model checks for sentimental keywords and predicts user sentiment associated with it.Also, the system works on the sarcastic comments in order to find whether the comment is positive or not.Various Python libraries and Django Web Server has been used for the pre-processing of data.
Design and Analysis of Automated Wheelchair cum Bed with Sanitizer Mechanism

India accounts 2.1% of its population for the paraplegic individuals and the count is increasing. Now in case of an emergency, these individuals face a lot of problem while transferring them from their wheelchairs onto a stretcher. Hence to avoid this issue, a dual-purpose wheelchair is proposed in order to solve this major issue.  A dual-purpose wheelchair facilitates a wheelchair [sitting mode] and a stretcher [sleeping mode] which helps the individuals to sit or sleep with much ease. Also in case of an emergency, they won’t be required to shift from a wheelchair onto a stretcher, avoiding further risks. The design of wheelchair is done keeping in mind the ergonomics and the cost of production, which makes it more comfortable and affordable for everyone. These dual-purpose wheelchairs can be can be used in schools, colleges, offices, industries and hospitals in case of an emergency. We have also fixed sanitizing mechanism onto the wheelchair so as to keep preventive measures of current COVID-19 pandemic and other viruses away from the individuals/patients.
CONSISTING CONTROL ORGANIZE THE EXACT COMPONENTS OF CLOUD COMPUTING WEB SERVICES

Introducing a new system to monitor access to two-factor authentication for web-based cloud computing services. Specifically, in our proposed access control system, the attribute-based access control mechanism is implemented with the user's secret key and a lightweight security device is required. Since the user cannot access the system if not maintained, the mechanism can improve system security, especially in those scenarios in which many users share the same computer for web-based cloud services. In addition, the function-based system control also allows the cloud server to also restrict access to those users with the same set of functions while maintaining user privacy, that is, the cloud server only knows that the user meets the required prediction, but has no idea of the exact user identity. Finally, we are also simulating to show the applicability of the proposed system.