Reviewerly/exHarmony huggingface dataset:
Coda-Wave Monitoring of Continuously Evolving Material Properties

We all monitor the world around us through waves. After about sixteen weeks in the womb, the ears and eyes of an infant child begin to deliver the first signals of light and sound waves to the brain. In fact, one could argue that consciousness itself is the feeling one receives when processing large amounts of wavefield data. Despite the integral presence of wavefield monitoring in biology, it is only since the dawn of the information age, that society has been able to monitor the world around us with similar fidelity. Where a recorded wavefield can be assumed to have travelled through a simple medium, it is often possible to resolve an image, though where a disordered medium is encountered, and the wavefield is multiply scattered, this becomes more difficult. It is this disordered portion of a wavefield, often referred to as the coda-wave, which this thesis is primarily concerned with. By considering the coda-wave over the coherent arrivals, one loses the ability to resolve the structure of a medium, though in turn gains improved sensitivity to changes within. This makes coda-wave monitoring particularly well suited to problems in which sensitivity to change is a more important quality than the ability to image the medium. On face value, one might consider coda-wave derived monitoring within Early Warning Systems (EWSs), towards hazards such as earthquakes, landslides, or the failure of critical infrastructure. However, operational deployment of such systems must work from simple, robust, and automated alert criteria, and therefore often rely on coherent wavefield observations, typically through passive measurements at the boundary of a region of interest. It is due to this reliance on clear, automated alert criteria derived from passive observation, which limits the lead time provided by EWSs, from only a few tens of seconds for earthquakes, to one day of warning for landslides.
XVII. Estudio comparativo del Covid-19 vs Dengue una perspectiva desde la formación profesional integral del Sena

This research aims to carry out a comparative analysis of the incidence in the Colombian population of covid-19 vs. dengue as communicable infectious diseases caused by vectors of mosquito bites that transmit Dengue, Zika, Chinkunguya, Yellow Fever, Malaria, from the Comprehensive professional training in apprentices from the Atlantic Regional Seine. It is based on ethnographic research, which searches, studies and solves problems that affect education. Dengue is known communicable and infectious diseases due to the bite of the tiger mosquito, of the phyllo-arthropod animal kingdom, dipterous insect of the Culicidae family, of the genus aedes-albopictus, these according to the analysis a without high numbers of deaths per year to children, youth and adults in the Colombian community, and no national or regional measures are taken to mitigate dengue, however, currently, the covid 19 pandemic declared by WHO year 2020 , of measures have been taken to counteract the virus.In conclusion, dengue causes more death per year than covid 19 in Colombia. In this sense, the research was based on a teaching strategy for apprentices of the Atlantic Regional Seine, in the strengthening of critical analysis and problem solving in everyday life situations.
한국어 기사문의 인용부호 사용과 중국어 번역 고찰

The study aims to analyze the actual use of quotation marks and their translations from Korean to Chinese news texts and compare the response relationship between them. The analysis on the latest regulations shows that single quotes in Korean and double quotes in Chinese express ‘Quote in Mind’ and ‘Highlight of Importance.’ That means single quotes in Korean and double quotes in Chinese have more functions than their counterparts. And a parallel corpus of text from Korean and Chinese newspapers is formed and analyzed. As a result, the target texts(TTs) have more double quotes than source texts (STs) in Korean and STs have more single quotes than TTs, which means single quotes are more frequently used in Korean and double quotes in Chinese. As to functions, STs are a bit far from the regulation. Double quotes for ‘Quotes’ are generally used, but it is also used in the indirect quotation. In addition, double quotes in Korean are used for ‘Highlight of Importance’ or titles of article, not in book titles and newspaper names. In case of single quotes in Korean, they are seldom used for ‘Quote of thought’ and ‘Quote in Mind.’ On the other hand, quotes in Chinese are generally in accordance with the regulation. As to the response relationship between quotes in Korean and Chinese is consistent with the regulation. Also, the study finds some cases beyond the regulation―deletion and addition of single and double quotes. The results can come from the linguistic characteristics and quotation system in Korean and Chinese and translators’ choice as mediators.
Raspberry-Pi as Portable Web Server E-Learning Moodle for Student Learning and Assignment

Today the application of Moodle (Object Oriented Dynamic Learning Environment) as a learning tool has been very massive.The development of the internet provides various alternatives for providing learning for everyone.Practical use of Moodle is needed when educators want to do learning and assignments.One practical way to enjoy learning through e-learning is to use a portable web server.This studyanalyzes the usefulness of Raspberry Pi, a mini computer, as a portable web server for e-learning , installation and implementation Portable Web Server Moodle for Student
Fotografi Dokumenter “Surabi” melalui Metode EDFAT1

The method applied in the producing of this documentary photography is EDFAT: Entire, Detail, Frame, Angle, Time. EDFAT is a method which is still rarely used among academicians but usually applied by professionals especially journalists or photographers. This study is creative process to understand and apply EDFAT method. The object of this study is Surabi sellers in Bandung city, they are, Surabi Ema Ayu, Surabi Cihapit, and Waroeng Setiabudhi. The result of the study depicts the phenomena of the changes of Surabi in Bandung City from traditional such as Surabi Ema Ayu, to modern such as Surabi Cihapit and Waroeng Setiabudhi. Keywords: Documentary Photography, Traditional Surabi, Modern Surabi, EDFAT
Machine Learning Methods for Interpretation of Multidimensional Geophysical Data

Summary The task of building a geoelectric profile based on geophysical fields measured on the surface can be compared with the task of recognizing an object based on its quantitative characteristics. For example, a face can be recognized by the numerical values characterizing the geometry of its constituent parts. In our case, the role of these quantitative characteristics is played by the measured values of the electromagnetic field, and the restored image is the geoelectric section in the color legend, where the color corresponds to a certain value of the specific resistance of the medium. Approximate neural network methods of geophysics are based on the construction of an approximate inverse problem operator in a given class of media using a multilayered neural network - a neural network approximator (NNA). For the construction of the NNA, the problem of its training is solved, which lies in the fact that the coefficients of the NNA are adjusted by the training sample of known solutions of direct problems obtained using the direct operator of the problem being solved. The task of adjusting the coefficients of the approximator is reduced to an optimization problem, which is solved using the methods of the Monte Carlo group.
The 11 November 2018 Mayotte event was observed at the Iranian Broadband seismic stations

&amp;lt;p&amp;gt;The 11 November 2018 Mayotte event was first introduced in the media by Maya Wei-Haas (2018) on National Geographic Magazine as a strange earthquake of which seismic waves were recorded by instruments around the world, but unusually nobody felt them. The Mayotte event in the absence of body waves caused long-duration, long-period surface waves traveling around the globe. Cesca et al. (2020) by analyzing regional and global seismic and deformation data suggested drainage of a deep magma reservoir. Tono Research Institute of Earthquake Science recorded the data with the broadband seismometer (STS-1) and gravimeter (gPhone) installed in Mizunami, Japan (Murakami et al., 2019). The records by Iranian broadband stations clearly showed the long-period seismic signals around 10 (UTC) on November 11, 2018. We studied records by 26 stations distributed throughout the country. The stations are operated by National Center of Broadband Seismic Network of Iran, International Institute of Earthquake Engineering and Seismology (IIEES). Since the frequency content of Fourier amplitude spectra appeared the signal of the surface waves as a peak around 0.06 Hz, we applied a bandpass filter of 0.05-0.07 Hz to the waveform data. To separate Rayleigh from love in surface waves, the filtered horizontal components were rotated to the radial and transverse components based on an assumed epicenter location at the latitude of 12.7S and longitude of 45.4E degrees. The stations considered as an array and the investigation was carried out in two ways. First, the position of each station was taken as the reference point of the array coordinate, and arrival delay times at the other stations relative to the reference were calculated. The phase velocity and the back-azimuth of each station were estimated through the least-square regression method. The estimated back azimuths were within 13 degrees from the back azimuths from the assumed epicenter. The average phase velocity for Rayleigh and Love phases are calculated as 2.97 and 3.31 km/sec, respectively. Second, we applied semblance analysis to six stations with the shortest spacing distances. However, the distance between the adjacent stations relative to the signal wavelength was not enough short to prevent spatial aliasing. Nevertheless, the interesting was that the semblance results were different for radial and transverse components. We calculated surface-wave magnitude (Ms) for the event and a number of recorded earthquakes occurring in the Mayotte area from May 13 to June 1, 2018. Linear regression was used to define relationships between the calculated Ms and the USGS body-wave magnitude (mb) and the local magnitude by BRGM catalog (Bertil et al. , 2019), and the moment magnitude (Mw) from the CMT solutions of HRVD and USGS.&amp;lt;/p&amp;gt;
KEMAHIRAN MENCERITAKAN KEMBALI ISI LEGENDA MELALUI MEDIA AUDIO YANG DIDENGAR SISWA KELAS VII 6 DI MADRASAH TSANAWIYAH NEGERI TANJUNGPINANG TAHUN PELAJARAN 2019/2020

Arimi, Dwi. 2020. Proficiency in Retelling the Content of Legend through Audio Media Heared by Grade VII Students in Madrasah Tsanawiyah Negeri Tanjungpinang 2019/2020 Academic Year, Thesis. Tanjungpinang: Indonesian Language and Literature Education Study Program, Faculty of Teacher Training and Education, Raja Ali Haji Maritime University. Advisor I: Dra. Hj. Isnaini Leo Shanty, M.Pd., Advisor II: Legi Elfitra, M.Pd.Keywords: Proficiency, RetellingThis study aims to describe the Skill of Retelling of Legend Content through Audio Media Heared by Class VII 6 Students in Tsanawiyah State Islamic School Tanjungpinang in 2019/2020 Academic Year.This research is a quantitative descriptive study, which aims to collect data, this study uses test data collection techniques, because data collection uses test kits to obtain quantitative data tests. The object of his research is the students' ability to retell the contents of the legend. The results of this study were taken from the test. The sample of this study was 32 students in class VII 6. Researchers found the results of research on the ability to retell the contents of the legend consisting of pronunciation scores, fluency, pauses and content provisions. The results of this study indicate that by obtaining an average of 54,21875 in the medium category. This study is useful to find out the level of student skills in retelling the contents of the legend that is heard by students.
PERANCANGAN LAYANAN E-LIBRARY PADA SMP MANDIRI MALANG NENGAH TANGERANG

The problem that is often faced by most Indonesian people is the lack of providing information about books quickly and accurately. The library at the Mandiri Malang Middle Nengah Tangerang is one of the libraries provided by the school to present information from the available books. However, the library facilities at SMP Mandiri Malang Nengah Tangerang are still relatively minimal and use conventional methods. This method is very ineffective because it takes time and money. Therefore, library services are needed using the programming language PHP and MySQL so that it can make it easier for students to access the library. In designing this e-library using the waterfall development method. The design of e-library services is expected to be more effective and efficient in finding a desired book.&#x0D; &#x0D; Keywords— Services, E-Library, Waterfall
Hand-Drawn Characters Sensing with Accelerometer

This paper is introducing a methodology for motion sensing.The method must is appropriate to sens the targetted character based on Poisons chi-square statistics.Our aim was that to create a controller, what looks like a magic wand and it can sens the simple air drawings.This paper presents the structure of the controller and the algorithm of data processing and the result of the first test with the algorithm.
Research Guides: Data Visualization Resources: Types of Charts and Graphs for Data Viz

A guide to resources from TUL and elsewhere to help users create interesting and informative data visualizations.
FORECASTING THE NUMBER OF ADMISSION OF NEW STUDENTS OF STATE POLITECHNIC USING EXPONENTIAL SINGLE SMOOTING METHODS

Forecasting is a prediction of uncertain events in the future. Forecasting the number of new students is one of the things that can be used for planning materials for the teaching and learning process, therefore it is necessary to predict the number of new students. This research was conducted at Malang State Polytechnic. The annual data analyzed was taken from 2011 to 2017. To predict the number of new students, the Single Exponential Smoothing method was used. This forecasting method focuses on decreasing the priority exponentially on the previous observation object. In exponential smoothing or exponential smoothing there are one or more smoothing parameters determined explicitly, and this result determines the weight imposed on the observation value. Based on the calculation results, the smallest error value is found at the value of α = 0.9 with MAD value 8.41, MAPE 7.21%, and RMSE 10.7.
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization

Stochastic variance-reduced gradient (SVRG) algorithms have been shown to work favorably in solving large-scale learning problems. Despite the remarkable success, the stochastic gradient complexity of SVRG-type algorithms usually scales linearly with data size and thus could still be expensive for huge data. To address this deficiency, we propose a hybrid stochastic-deterministic minibatch proximal gradient (HSDMPG) algorithm for strongly-convex problems that enjoys provably improved data-size-independent complexity guarantees. More precisely, for quadratic loss $F(\theta)$ of $n$ components, we prove that HSDMPG can attain an $\epsilon$-optimization-error $\mathbb{E}[F(\theta)-F(\theta^*)]\leq\epsilon$ within $\mathcal{O}\Big(\frac{\kappa^{1.5}\epsilon^{0.75}\log^{1.5}(\frac{1}{\epsilon})+1}{\epsilon}\wedge\Big(\kappa \sqrt{n}\log^{1.5}\big(\frac{1}{\epsilon}\big)+n\log\big(\frac{1}{\epsilon}\big)\Big)\Big)$ stochastic gradient evaluations, where $\kappa$ is condition number. For generic strongly convex loss functions, we prove a nearly identical complexity bound though at the cost of slightly increased logarithmic factors. For large-scale learning problems, our complexity bounds are superior to those of the prior state-of-the-art SVRG algorithms with or without dependence on data size. Particularly, in the case of $\epsilon=\mathcal{O}\big(1/\sqrt{n}\big)$ which is at the order of intrinsic excess error bound of a learning model and thus sufficient for generalization, the stochastic gradient complexity bounds of HSDMPG for quadratic and generic loss functions are respectively $\mathcal{O} (n^{0.875}\log^{1.5}(n))$ and $\mathcal{O} (n^{0.875}\log^{2.25}(n))$, which to our best knowledge, for the first time achieve optimal generalization in less than a single pass over data. Extensive numerical results demonstrate the computational advantages of our algorithm over the prior ones.
IMPLEMENTASI MOTODE RAPID APPLICATION DEVELOPMENT (RAD)PADA SISTEM INFORMASI PENGGAJIAN GURU HONOR

Payroll is one of the most important things where it is useful for information on the list and benefits received by employees whether in accordance with the duties, responsibilities and the level of effort that has been done for the job. The teacher is the main resource in the world of Education which is the main factor that successfully educates students at the school. So a faster, precise way to payroll teacher data is needed so a special program is needed to support the process. The RAD method is a model of the process of developing enhancements specifically for short work times. The existence of a payroll information system has been created, can provide fluency in the storage process and also input-data so that there is no difficulty in searching data, calculating and making reports.
Textometry on Audiovisual Corpora

Textometry is applied to audiovisual corpora, such as transcripts from semi-directed interviews, or the Actualites francaises newsreels archive. A workflow using an assisted or automatic transcription software is efficient to get a rich encoding. New features are added to the TXM software: a specialized import module based on Transcriber XML format, a utility to convert text transcripts to XML, and the MediaPlayer extension to watch the video segment corresponding to a word context selection. Methodological thoughts arise from this experience. It is highly relevant that textometry takes into account internal text structures (such as speech turns) and other meta-information (such as timecodes). Meta-information has to be displayed and available for processing without being mixed with contents. Another challenge is to integrate multiple interrelated representations. A back-to-media feature is as fundamental as the back-to-text one to provide context to interpretation work.
Using app templates

Once you’ve got the hang of creating your own standalone apps, you might want to start writing more. At this point you’ll likely find there are a number of decisions you don’t want to make over and over again and necessary boilerplate that you don’t want to deal with writing. One solution to this is to start creating apps from templates.
Harmonization of pedagogical theory and methodological knowledge as an important constituent of qualitative professional training of future teachers

The article deals with key issues of teacher training in the context of harmonizing methodological and pedagogical knowledge. In the process of training future teachers, it is important to unite knowledge in various disciplines in order to study material in complex and from different angles and to apply the gained knowledge in practice successfully. It is noted that one needs to care about building necessary knowledge, skills and abilities not only in major disciplines but also in a range of psychological and pedagogical courses for qualitative training of future teachers who will be successful in their profession.
Modeling the Atmospheric Diurnal Cycle

Weather and climate influence life in many ways; varying climatic conditions can be associated with varying human cultures and on a day-to-day basis, the weather influences our plans and mood. As such, a proper prediction of the weather is of great importance. Ultimately, the weather is fueled by solar irradiation, which changes sharply over the course of the day. The relative position of the sun is directly influencingthe meteorological properties in the atmosphere closest to the surface. The atmospheric state in the lowest few kilometers, known as the troposphere, is therefore characterized by a daily cycle: during daytime, the sun heats the air and at night, the atmosphere typically cools down and the wind settles a bit. In spite of its omnipresence and importance, this diurnal cycle in weather patterns is still not fully understood by the meteorological community. Consequently, it is also hard to describe and predict the weather properly. The challenges emerge from the fact that the weather is continuously evolving, and is therefore never ‘in balance’, which would simplify analysis of the processes.
PELATIHAN METODE PENELITIAN KUALITATIF PADA MASYARAKAT ILMIAH DI JURUSAN AKUNTANSI POLITEKNIK NEGERI SAMARINDA

The purpose of scientific community service at Samarinda State Polytechnic is to provide an understanding in using the Qualitative Approach Method for students who wish to explore the use of Qualitative Research Methods. The training method used in this service is a two-way or reciprocal training method. The results of this training can provide understanding for trainees, on aspects: (1) The benefit of the theory is almost same as the quantitative approach, (2) The title does not indicate quantitative nature. (3) The background have to be context-based, (4) the formulation of the problem must be focused, (5) Data is grouped into (a) observation, (b) in-depth interviews, (c) documentations, and (d) triangulation. (6) The first and main data analysis tool in qualitative researchers is the researcher itself. (7) Sentences that have to be used are active and verb sentences. Conclusions, from this training activity can provide additional information for training participants some differences between quantitative researches with qualitative research.
Pricing the Financial Heston Model Using Parallel Finite Difference Method on GPU CUDA

An option is a financial instrument in which two parties agree to exchange assets at a price or strike and the date or maturity is predetermined. Options can provide investors with information to set strategies so they can increase profits and reduce risk. Option prices need to be accurately evaluated according to reality and quickly so that the resulting value can be utilized at the best momentum. Valuation of option prices can use the Heston equation model which has advantages compared to other equation models because the assumption of volatility is not constant with time or stochastic volatility. The volatility that is not constant with time corresponds to reality because the underlying asset as a basis can experience fluctuations. The Heston equation has a disadvantage because it is a derivative equation that is difficult to solve. One way to solve derivative equations easily is to use a numerical solution to the finite difference method of non-uniform grids because the Heston equation can be assumed to be a parabolic equation. The numerical solution of the finite difference method can solve derivative equations flexibly and do not require matrix processing. But it requires a heavy and slow computing process because there are many elements of calculation and iteration. This study proposes a numerical solution to the finite difference method by using the Compute Unified Device Architecture (CUDA) parallel programming to solve the Heston equation model that applies the concept of stochastic volatility to get accurate and fast results. The results of this research proved 15.52 times faster in conducting parallel computing processes with error of 0.0016..