Reviewerly/exHarmony huggingface dataset:
Assessing the Accuracy of a Borehole-Controlled Velocity Model of Yucca Flat, Nevada, Using Large-N Seismic Data

The Source Physics Experiment (SPE) aims to improve nuclear test monitoring capabilities through a series of chemical explosions in Yucca Flat within the Nevada National Security Site (NNSS) (Snelson et al., 2013). With geologic data from over 950 boreholes, Yucca Flat has excellent borehole control on stratigraphy. These data were used to create a Geologic Framework Model (GFM) of the basin to aid in the study of seismic wave propagation through the Earth. However, the seismic velocities of the geologic units in the GFM are less well-defined. With the acquisition of five new active source Large-N datasets, we can now quantitatively assess the accuracy of the seismic model previously controlled by borehole data alone.
Ελληνικά ιδρυματικά αποθετήρια και πνευματική ιδιοκτησία

The institutional repositories were created aiming in collecting, maintaining and possessing the scientific production of an academic institution. These three functions of institutional repositories often face the problem of copyright restrictions. The purpose of this thesis was to record and present how Greek academic libraries, which have institutional repositories, manage the challenges related to intellectual property. The results of the research showed that the majority of the academic libraries have an institutional repository and offer open access to its content. As far as the copyright sector is concerned, research shows that Greek institutional repositories face the same challenges related to intellectual property issues as the authors who deposit a work in the repository. The authors are the ones who have not only the primary responsibility of depositing the work in the repository, but also the responsibility of copyright clearance process. The main problem highlighted, by both libraries and authors, is mainly the inability to understand the concepts of intellectual property. Communication between libraries can set the basis for the creation of a common policy and treatment of the concerns that arise in Greek institutional repositories, due to the restrictions that the laws of intellectual property rights pose.
A Novel Approach for Improving Breast Cancer Risk Prediction using Wavelet based Feature Extraction and SVM

Breast cancer represents one of the diseases that make a high number of deaths every year. Classification and data mining methods are an effective way to classify data. Here, a common misconception is that predictive analytics and machine learning are the same thing where in predictive analysis is a statistical learning and machine learning is pattern recognition and explores the notion that algorithms can learn from and make predictions on data. In this paper, we are addressing the problem of predictive analysis by adding machine learning techniques for better prediction of breast cancer. In this, a performance comparison between different machine learning algorithms: Support Vector Machine (SVM) with GRB technique on the Machine Learning Repository Breast Cancer Coimbra (original) datasets is conducted. The main objective is to assess the correctness in classifying data with respect to efficiency and effectiveness of hybrid algorithm in terms of accuracy, precision, recall.
PARAPHRASING STRATEGIES IN HIGHER EDUCATION

Paraphrasing as a method of avoiding plagiarism becomes the most important in academic writing. Responding this issue, the researchers interest to conduct the study in analyzing university students’ paraphrasing seen from the strategies and the paraphrased identifications. This study used qualitative research. Data were collected from ten of sixth year students majoring in English at Universitas Islam Negeri (UIN) Antasari Banjarmasin who enrolled English for Academic Purposes subject in academic year of 2020 through documentation of Introduction section in their research proposals. The finding of this study indicated that using synonyms and condensing original were as the most frequency, followed by using varied structure, changing parts of speech and expanding phrase for clarity. On the other hand, students rarely used changing word order, separating long sentence, and combining sentences. The highest paraphrased identification was moderate revision that occurred five times or a half of participants, followed by near copy, minimal revision and substantial revision with same result that occurred once. This study also found that some students paraphrased the sentence without mentioning the main source and it is considered as plagiarism. Based on the result, it is suggested that English writing instruction at any university should provide more training on paraphrasing for the students, so it will make them aware of the paraphrase strategies and avoid plagiarism
A Deep Learning Approach for Safety Monitoring of Sick People

This project illustrates a method of smart recognition of human behavior to automatically recognize human actions from skeletal joint movements and integrate the skills.This is a low-cost solution and has high precision.An independent mobile app is also intended to track the condition of individuals and their environment while they are alone.The mobile application also incorporates a Notification API integration to enable the sending of warning alerts during irregular conditions.Therefore, our initiative offers a way to assist senior citizens and children with some kind of mishap and health problems.This research proposed novel Convolutional Neural Network (ConvNet/CNN) to predict the action based on human activity.Proposed model provides 3% better accuracy than the existing state of art methodologies.
صور الفقد بالتعليم الفني الصناعي بشمال سيناء من وجهة نظر المعلمين وآليات مواجهته

يعد الفقد المتمثل في اضاعة الجهد والوقت والمال بلا عائد من العوامل التي تحول دون اداء المؤسسات التعليمية لوظيفتها لذلک استهدف البحث الحالي التعرف على صور الفقد ومصادره بمدارس التعليم الفني الصناعي بشمال سيناء من وجهه نظر المعلمين. في محاولة التغلب عليه لتحسن الاداء. وبالتالي تحسين مخرجاتها واستخدم المنهج الوصفي. وتم تطبيق استبانة على عينة من المعلمين قوامها (186). وکان من أظهر النتائج أن الفقد الناتج عن الانتاج الزائد بدرجة توافر کبيرة ثم جاء بدرجة تواجد متوسطة على الترتيب کلا من الفقد الناتج عن العمليات الزائدة والفقد الناتج عن التنقل الغير ضروري والفقد الناتج عن الانتظار کلمات مفتاحية: الفقد- أسلوب تقليل الفقد- التعليم الفني الصناعي.The waste represented in wasting effort, time and money without return is one of the factors that prevent educational institutions from conducting Their duties. Therefore, the current research aimed to identify the image of waste and its sources in industrial technical education of schools in North Sinai from the teachers ’point of view. Try to overcome that to improve performance.And consquentely improving its outputs The descriptive approach was used . A questionnaire was applied to a sample of (186) teacher. The results of the study indicated that the waste resulting from excess production with a high availability and then came with a moderate degree of presence, respectively, both the losses resulting from the excess operations and the losses resulting from unnecessary mobility and the waste resulting from waiting.Key words :-Wastes- Leen– Vocational Education
Dynamic distribution of labor resources by region of investment

Abstract This article discusses the problem of the optimal distribution of labor resources by investment region, taking into account changing conditions. A deterministic model is considered, that is, both the investment region and the invested resources go into new states with a probability equal to one. Several economic agents jointly organize the process of investing labor resources in several investment regions.
Konversi Fuzzy Logic Controller Ke Neural Network Controller Untuk Kendali Posisi Sudut Motor Dc

AbstrakKendali posisi merupakan salah satu dari sistem kendali yang digunakan untuk mengendalikan posisi dari suatu objek, dalam hal ini yang dikendalikan adalah posisi sudut motor DC. Penelitian ini dilakukan untuk merancang alat yang dapat mengontrol sudut motor DC. Alat ini dirancang menggunakan microcontrollerArduino UNO. Proses pengendalian dari sudut motor DC dilakukan dengan menggunakan metode kendali fuzzy logic controller (FLC) dan neural network controller (NNC). Hasil yang diperoleh dari metode kendaliFLC adalah error, I”error, dan output. Hasil tersebut kemudian akan digunakan sebagai training set untuk pelatihan sistem dengan menggunakan metode kendali NNC dengan algoritma back propagation. Respons dari sistem motor DC akan menghasilkan error steady state < 2% dengan menggunakan sistem kendali FLC, serta alat ini diharapkan akan memiliki respons yang sama dengan respons sistem jika menggunakan sistem kendali NNC.Kata Kunci : Kendali Posisi, Fuzzy Logic Controller, Neural Network Controller, Back PropagationAbstractPosition control is one of the control systems used to control the position of an object, in this case what is controlled is the angular position of the DC motor. This research was conducted to design a device that can control the angle of a DC motor. This tool is designed to use an Arduino UNO microcontroller. The control process from the angle of the DC motor is carried out using 2 control method, the fuzzy logic controller (FLC) and the neural network controller (NNC). The results obtained from the FLC control method are error, I”error, and output. The results will then be used as a training set for system training using the NNC control method with back propagation algorithm. The response from the DC motor system will produce a steady state error of <2% using the FLC control system, and this device is expected to have the same response as the system response when using the NNC control system.Keywords: Position Control, Fuzzy Logic Controller, Neural Network Controller, Back Propagation
Weighted neural tangent kernel: a generalized and improved network-induced kernel

The Neural Tangent Kernel (NTK) has recently attracted intense study, as it describes the evolution of an over-parameterized Neural Network (NN) trained by gradient descent. However, it is now well-known that gradient descent is not always a good optimizer for NNs, which can partially explain the unsatisfactory practical performance of the NTK regression estimator. In this paper, we introduce the Weighted Neural Tangent Kernel (WNTK), a generalized and improved tool, which can capture an over-parameterized NN's training dynamics under different optimizers. Theoretically, in the infinite-width limit, we prove: i) the stability of the WNTK at initialization and during training, and ii) the equivalence between the WNTK regression estimator and the corresponding NN estimator with different learning rates on different parameters. With the proposed weight update algorithm, both empirical and analytical WNTKs outperform the corresponding NTKs in numerical experiments.
Refining Neural Networks with Compositional Explanations.

Neural networks are prone to learning spurious correlations from biased datasets, and are thus vulnerable when making inferences in a new target domain. Prior work reveals spurious patterns via post-hoc model explanations which compute the importance of input features, and further eliminates the unintended model behaviors by regularizing importance scores with human knowledge. However, such regularization technique lacks flexibility and coverage, since only importance scores towards a pre-defined list of features are adjusted, while more complex human knowledge such as feature interaction and pattern generalization can hardly be incorporated. In this work, we propose to refine a learned model by collecting human-provided compositional explanations on the models' failure cases. By describing generalizable rules about spurious patterns in the explanation, more training examples can be matched and regularized, tackling the challenge of regularization coverage. We additionally introduce a regularization term for feature interaction to support more complex human rationale in refining the model. We demonstrate the effectiveness of the proposed approach on two text classification tasks by showing improved performance in target domain after refinement.
A Survey Study on the Potential Educational Value of WhatsApp in the Iranian EFL Settings

This study investigated the main motives of using WhatsApp and the potential educational value of it in the Iranian EFL contexts in comparison with institutional e-learning platforms, Big Blue Button, and Google Meet since there was no studies in the literature of Iranian EFL contexts to investigate the various motives of WhatsApp in general and its diverse educational value in particular. A total of 301 male and female advanced EFL learners answered a questionnaire which was a combination of Sheldon's (2008) and Jong, Lai, Hsia, Lin, and Liao's (2014) questionnaires. Several one-way ANOVA and Post Hoc Test performed on the respondents' ranking scores revealed that WhatsApp was the first preferred platform for the facilities of a) being immediately informed on the educational materials b) educational online group discussion, and c) convenience of sharing and reviewing educational materials. The institutional e-learning platform was the second favorite and Google Meet and Big Blue Botton were the least popular platforms. The highest motives for using WhatsApp included relationship maintenance and educational peer discussions. These results illustrated WhatsApp as a high-valued popular educational medium, especially for extrovert and low-motivated EFL learners, which should be considered as a treasured platform in the Iranian EFL contexts.
Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model

This paper describes Frechet distribution as a random noise for capturing multimodalities, regime-switching and change-points attributed to uniformly time-varying series via causality of fluctuations, extreme values and heavy-tailed time series. Frechet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. The limiting distribution of the model via Gnedenko-Fisher Tippet limiting property was derived to asymptotically approach an exponential function.
LibGuides: Readers Advisory for Kids & Teens: Home

Here you will find resources for assisting young readers in their pursuit of reading material for that is interesting and relevant to their lives.
Lopsided Satellite Distributions around Isolated Host Galaxies

We investigate the spatial distribution of the satellites of bright, isolated host galaxies. In agreement with previous studies, we find that, on average, the satellites of red hosts are found preferentially close to their hosts' major axes, while the satellites of blue hosts are distributed isotropically. We compute the pairwise clustering of the satellites and find a strong tendency for pairs of satellites to be located on the same side of their host, resulting in lopsided distributions. The signal is most pronounced for the satellites of blue hosts, where the number of pairs on the same side of their host exceeds the number of pairs on opposite sides of their by a factor of 1.8 +/- 0.1. For the satellites of red hosts, the number of pairs on the same side of their host exceeds the number of pairs on opposite sides of their host by a factor of 1.08 +/- 0.03. Satellites that are far from their hosts (r_p > 300 kpc) show a strong preference for being located on the same side of their hosts; satellites that are near to their hosts (r_p < 100 kpc) show a weak preference for being located on opposite sides of their hosts. While lopsided distributions have been found previously for the satellites of bright pairs of galaxies, ours is the first study to find lopsided distributions for the satellites of isolated bright galaxies.
IMPROVING THE LISTENING COMPREHENSION TO THE SECOND SEMESTER STUDENTS OF ACCOUNTING DEPARTMENT IN ECONOMIC FACULTY BY USING DICTOGLOSS TECHNIQUE

This study examined the effect dictogloss technique in improving the listening comprehension. Dictogloss comes from two words, they are dictation and glosary. Beside that, dictogloss is a technique in which the teacher reads a short text and the learners make brief notes and then try to reconstruct the text in groups. The populations of this research are the second semester of accounting department Academic Years 2015/2016 in which the number of population are 280 students. Because of the population is too large, the researcher used cluster random sampling. This research used quasy experimental with control cass and experimental class. This research also use the pre test and post test find out the different between the class with teach by dictogloss technique and teach by conventionl methode. In this technique, the students teach by using multi media. So, the students listen from the speaker about the materials. But, before come to listening the teacher give explanation and describe about the materials that will teach then the students try to predict what kind of the materials. In this method there are some stages, they are; preparing, dictation, reconstructions, analysis and correction. Based on the research findings, most of the students enjoy and like with this methode because they can find out more new words. The data research show that null hypothesis was rejected and then the alternatife hypothesis was accepted
Innovative Technologies In Education: Development Trends, Prospects

This article describes the study of innovative educational technologies and pedagogical principles, the effective use of modern interactive teaching methods in the educational process. The effective methods of innovative technologies in strengthening the knowledge of students studying in higher educational institutions are analysed. The formation of stable theoretical knowledge and professional skills increases the effectiveness of the educational process. For this purpose, proposals and recommendations on new pedagogical technologies in the educational process have been developed.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH COOPERATIVE SCRIPT TECHNIQUE OF FIRST GRADE AT SMK NEGERI 1 TOLITOLI

The objective of this research is to find out whether the application of cooperative script technique improve the students’ reading comprehension or not. It is a pre-experimental research. It conducted at first grade of SMK Negeri 1 Tolitoli that was X PK 1 in academic year 2016/2017. The writer gave a pre-test to measure the students’ previous ability in reading comprehension. Then, a post-test to find out the students’ reading comprehension after given treatment which is the application of cooperative script technique. The writer used SPSS 16.0 program to analyze the data. The result of data analysis showed that cooperative script technique give a significant effect to the students in comprehending a recount text. The mean score of the post-test (82,67) was higher than the mean score of pre-test (69,87). Then, the testing hypothesis showed that the value of T count was greater than T table (13.797 > 2.054). In conclusion, the application of cooperative script technique is effective to improve students’ reading comprehension in recount text. Key words: Improving, Reading Comprehension, and Cooperative Script.
Hunt, Lester H. <i>The Philosophy of Henry Thoreau: Ethics, Politics, and Nature</i>. New York: Bloomsbury, 2019. Pp. 184. $115.00 (cloth).

Previous articleNext article No AccessBook ReviewsHunt, Lester H. The Philosophy of Henry Thoreau: Ethics, Politics, and Nature. New York: Bloomsbury, 2019. Pp. 184. $115.00 (cloth).Paul MuenchPaul MuenchUniversity of Montana Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Ethics Volume 131, Number 3April 2021 Article DOIhttps://doi.org/10.1086/712566 Views: 108Total views on this site For permission to reuse, please contact [email protected]PDF download Crossref reports no articles citing this article.
Development of the “Post Ability Progressive” Curriculum for the Higher Vocational Marketing Specialty Based on School-Enterprise Cooperation

Against the background of new reforms to vocational education, it is necessary to promote greater cooperation between schools and enterprises. But at present, the industry-education integration adopted by vocational colleges is relatively deficient, enterprises are perfunctory in training, students' enthusiasm for learning is not high, and the skills they master are relatively simple. In order to apply the integrated way of industry and education into classroom teaching and make students truly combine what they have learned with the work they want to do through the exercise of professional positions, this project cooperated with Taizhou branch of Swire Coca Cola to conduct empirical research. Through investigation, the project team collected the evaluation factors and methods of the professional quality of marketing personnel from various industries and enterprises. It collected 159 questionnaires and analyzed the data collected with the help of SPSS, Amos and other statistical analysis software. Combined with data analysis results and interviews with experts in various industries, the author finds out the influence of different factors on teaching and puts forward the development idea of post competence progressive curriculum system. The professional teachers in the school and the tutors in the enterprise jointly classify the marketing positions, summarize the typical work tasks and fields of action, design the learning situation, and carry out the practice demonstration in school. This has proven to be feasible and effective
振動する軌道上の１／１０模型車両試験 Experiments of 1 to 10 Scale Model Vehicle Being on Vibrating Track

It is essential to study the reduction of damage to the railway vehicle caused by natural disasters. A 1:10 scale model vehicle is made for various tests such as an overturning test, which is almost impossible to be performed with a full-scale model. Large displacement shaking tests in the lateral direction, in which the model vehicle can derail or overturn, are carried out using the shaking table. It is found that the shape of the structure under the vehicle floor affects the amplitude value by which the vehicle may overturn. This suggests that there is some possibility which the resilience for overturning can be improved if the vehicle's parameters are set appropriately.
Development of Inquiry-Based Multimedia Learning Module with PhET Simulation in Newton’s Law of Motion

This research is development research with a 4-D model (define, design, develop, and spread) about Newton's laws of motion.The purpose of this research is to determine the feasibility of Multimedia Learning Module (MLM) products developed in physics learning.The MLM product that is designed is then tested for its feasibility by the validator.Product validation was carried out using descriptive analysis and the average value was obtained on the material aspects of 96.15 and the media aspects of 96.43 so that they were included in the very feasible category.MLM was then tried out with a cluster random sampling technique on 26 students of SMA Negeri 1 Sleman to get student responses to the product.The trial was carried out by providing questionnaire responses to students and analyzed using descriptive analysis.The trial results in the form of student responses to MLM products obtained a value of 79.87 so that it is included in the feasible category.Therefore, the MLM developed is feasible and can be used in physics learning in school.