Reviewerly/exHarmony huggingface dataset:
A Correction Method of Tong's Chart for Ultra-Low Permeability Reservoirs

Liu, B.L.; Yang, L.; Chang, Y.W.; Liu, Y.R.; Wang, K.; Li, J.; Guo, X.F., and Wei, Q., 2020. A correction method of Tong's chart for ultra-low permeability reservoirs. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 440–444. Coconut Creek (Florida), ISSN 0749-0208.To obtain a suitable tong's chart for ultra-low permeability reservoir is an important means to evaluate its development effect. Based on the classification of ultra-low permeability reservoir blocks, this paper revises the standard Tong's curve proportion coefficient of various blocks, and draws charts of ultra-low permeability reservoir including theoretical Tong's chart, the theory chart of water cut rise rate and water cut, the theory chart of water storage rate and water cut, and predicts the recovery rate and water injection development effect of various blocks evaluation. The results show that the theoretical charts drawn by the modified proportional coefficient offers a more accurate recovery prediction and evaluation on waterflooding effect evaluation of ultra-low permeability reservoir block.
Implementasi Model Waterfall Untuk Pengembangan Sistem Informasi Surat Berjalan PKK DKI Jakarta

PKK (Family Welfare Education) of DKI Jakarta Province is an institution that houses all PKK in the DKI Jakarta area. Currently, PKK of DKI Province often experiences difficulties in the approval of activity letters, the activity letters submitted at the Jakarta Provincial PKK are still manual and the busy schedule of the DKI Jakarta PKK chairman. This caused frequent disruption of activity schedules, so the author designed a running mail system where the PKK chairman could approve PKK activities without having to be in place. The scope of this application is limited from input data of the letter request for activities from the Working Group to the input letter of approval issued by the chairman of PKK. This application is designed using waterfall method. Besides that the author also makes system design using UML, using PHP programming language, codeigniter framework, and MySQL as the database . With the design of this running mail system, it is expected that activities in the PKK can run well.
Social Competency: the After-Degree Development

The system of graduate teacher education is intended to respond promptly to the most pressing problems of society, whose relevance increases due to teachers’ “ageing” and professional burnout, as well as the reluctance of most university graduates to practice their profession. The research aims to justify and experimentally verify the theoretical and methodological principles of developing social competency in teachers in the system of graduate teacher education. The control group included 116 teachers and the experimental group - 65 teachers. The following research methods were used: pedagogical observation, pedagogical experiment, questionnaires, tests, self-analysis and self-assessment. The formative stage of the pedagogical experiment has enabled a complex prolonged (five-year) development of social competency in primary school teachers in formal, non-formal and informal education. A comparative analysis of data at the ascertaining and control stages shows a significant positive dynamics in the levels of social competency in primary school teachers in the experimental group (a high level - 26.9% at the beginning of the experiment and 64.5% at the end of the experiment; a sufficient level - 39.9% and 25.3%, respectively; an average level - 21.2% and 8.9%, respectively; a low level - 12% and 1.3%, respectively). The developed scientific and technological system of complex prolonged development of social competency in primary school teachers in graduate teacher education is effective and can be promoted.
PENGGUNAAN PONSEL PINTAR DENGAN HOT POTATOES-JCLOZE UNTUK PEMBELAJARAN MENYIMAK BAHASA JEPANG

This paper aims to explain the steps of making Japanese language media that can be used in smart phones with listening material using the Hot Potatoes device and to find out the difficulties and obstacles that occur in its application in the classroom. The media products produced with Hot Potatoes are in the form of HTML file formats that can be opened in almost any smartphone browser. The Hot Potatoes media products are made in such a way that students can listen and interact with the media. This study used descriptive qualitative method. The study was conducted on 58 students of  SMAN 1 Probolinggo as media users. From the results of the questionnaire, observations and interviews, it is known that Hot Potatoes media works well in almost all smartphone browsers. The obstacle is that when the process of distributing files takes a long time, the voice player feature does not work. After further observation, these problems can be overcome so students are ready to use the Hot Potatoes-JCloze media for listening learning with all its limitations.
Evaluating the correlation between ground information and satellite spectral data by geostatistical tools

Summary Satellite information opened new scenarios for planet surface mineral exploration. Hyperspectral information brought by sensors on board potentially help identifying and measuring concentrations of an element if an accurate calibration is done, based on available ground sampling. The correlation study is one of the most delicate phases when using satellite images for improving the models’ quality of surface distribution of a target variable. Geostatistics offers a wide variety of powerful tools for a deep study of these correlations. A short case study is reported as an example where it was identified the most correlated spatial component by a multivariate structural analysis.
An Analysis of Metric-based Quality Design for Software Development

Background/Objectives: The main purpose is to find the significance of Object-Oriented metrics on software design; metrics are related to minimizing class unused attributes and methods to maintain quality and complexity.Methods/Statistical analysis: Experimental analysis is utilized for validating findings.Mathematical properties are used for validation and evaluation outcomes.The purpose of experimental validation is to understand whether a measurement quantifies what it should quantify.MS-Excel is utilized as a metric computation and graph generation for fifteen project designs.Statistical analysis through SPSS tool of different inheritance categories as single, multiple, multilevel, hierarchical, and hybrid are utilized for metric results.Findings: SSAAM is suggested to give measurement results for counting public and protected attributes of all super and subclasses in the class inheritance hierarchy.SSMAM explores numeric value for computing public and protected methods of all super and sub classes in the class inheritance hierarchy.Higher results are computed of SSAAM and SSMAM, it shows more inheritance hierarchy utilized in the design.It assist in a controlled use of public/protected members in software design to minimize complications.Software design complications can be enhanced due to more use of protected and public members as well as decreased use of the concept of encapsulation.
Genetic Programming based Manufacutring Big Data Analytics

현재 제조 분야 빅데이터 분석을 위하여 black-box 기반 기계 학습 알고리즘을 활용하고 있다. 해당 알고리즘은 높은 분석 정합성 가지는 장점이 있지만, 분석 결과에 대한 해석이 어렵다는 단점이 있다. 그러나 제조업에서는 분석 알고리즘은 제조 공정 원리 기반 해석을 통하여 결과의 근거 및 도출 타당성에 대한 검증이 중요하다. 이러한 기계 학습 알고리즘의 결과 설명력 한계를 극복하기 위하여 유전 프로그래밍을 활용한 제조 빅데이터 분석 방법을 제안한다. 본 알고리즘은 생물학적 진화유전 프로그래밍 알고리즘은 생물학적 진화를 모방한 진화 연산 (선택, 교배, 돌연변이) 반복하면서 최적의 해를 찾아간다. 그리고 해는 수학적 기호를 활용하여 변수 간의 관계로 나타나며, 가장 높은 설명력을 가지는 해가 최종적으로 선택된다. 이를 통하여 입력 및 출력 변수 관계 수식화를 통한 결과를 도출하므로 직관적인 제조 매카니즘에 대한 해석이 가능하며 또한 수식으로 나타낸 변수간의 관계 기반으로 기존 해석이 불가한 제조 원리 도출도 가능하다. 제안 기법은 대표적인 기계 학습 알고리즘과 성능을 비교 분석 결과 동등 또는 우수한 성능을 보였다. 향후 해당 기법을 통하여 다양한 제조 분야 활용 가능성을 검증하였다.Currently, black-box-based machine learning algorithms are used to analyze big data in manufacturing. This algorithm has the advantage of having high analytical consistency, but has the disadvantage that it is difficult to interpret the analysis results. However, in the manufacturing industry, it is important to verify the basis of the results and the validity of deriving the analysis algorithms through analysis based on the manufacturing process principle. To overcome the limitation of explanatory power as a result of this machine learning algorithm, we propose a manufacturing big data analysis method using genetic programming. This algorithm is one of well-known evolutionary algorithms, which repeats evolutionary operators such as selection, crossover, mutation that mimic biological evolution to find the optimal solution. Then, the solution is expressed as a relationship between variables using mathematical symbols, and the solution with the highest explanatory power is finally selected. Through this, input and output variable relations are derived to formulate the results, so it is possible to interpret the intuitive manufacturing mechanism, and it is also possible to derive manufacturing principles that cannot be interpreted based on the relationship between variables represented by formulas. The proposed technique showed equal or superior performance as a result of comparing and analyzing performance with a typical machine learning algorithm. In the future, the possibility of using various manufacturing fields was verified through the technique.
FILOSOFIS DAN MAKNA BALE SAKANEM DI PETANG, BADUNG.

Traditional Balinese house architecture is a work that is born from the traditions, beliefs and spiritual activities of the Balinese people which are manifested in various physical forms, such as traditional houses, sacred places (places of worship called temples), meeting halls, and others. The birth of various physical manifestations is also caused by several factors, namely the geography, culture, customs, and socio-economic conditions of the community. One of the buildings in a traditional Balinese house is the Bale Dangin. Bale Dangin is located in the eastern part of the Balinese Hindu community yard. Bale Dangin has the main function as a place to make and place ceremonies for Manusa Yadnya ceremonies such as metatah (tooth cutting), otonan, pewiwahan natab in bale and other activities.&#x0D; Along with the development of the times like nowadays, Bale Dangin buildings are rarely found in Hindu community houses in Bali, there are several factors affecting this, from the land that is owned is narrow / only enough for the main building to the factor that people are less interested in traditional buildings on the grounds that they are not modern and with the times. So that there is a change in the meaning of the Bale Dangin Building itself. In addition to changes in meaning, there is also a change in the materials used in the construction of the Bale Dangin building, after searching data by interviewing and field observations, it is known that things that affect changes in the use of Bale Dangin materials are due to climate / weather, developments existing architectural styles and the state of the community economy.&#x0D; The purpose of this research is to discuss how the function and meaning of the existence of Bale Dangin, especially Bale Dangin Sakanem in Hindu community homes in Bali, and to find out what materials can be used to produce Bale Dangin buildings that are still up to date with the times but do not reduce the value of philosophy and meaning of Bale Dangin itself so that it can survive amid the development of architectural styles in Bali.
A new dimension in geometric camera calibration

There are many test charts and software to determine the intrinsic geometric calibration of a camera including distortion. But all of these setups have a few problems in common. They are limited to finite object distances and require large test charts for calibrations at greater distances combined with powerful and uniform illumination. On production lines the workaround for this problem is often times the use of a relay lens which itself introduces geometric distortions and therefore inaccuracies that need to be compensated for. A solution to overcome these problems and limitations has originally been developed for space applications and has already become a common method for the calibration of satellite cameras. We have now turned the lab setup on an optical bench into a commercially available product that can be used for the calibration of a huge variety of cameras for different applications. This solution is based on a diffractive optical element (DOE) that gets illuminated by a plane wave generated with an expanded laser diode beam. In addition to the conventional methods the proposed one also provides the extrinsic orientation of the camera and therefore allows the adjustment of cameras to each other.
La educación digital en Colombia en tiempos de Covid 19 y su impacto en las organizaciones educativas

At the beginning of 2020, Covid 19 was present in Colombia, which with the passing of days turned into a health pandemic, in order to prevent the expansion, the National Government makes decisions regarding preventive isolation throughout national territory; it brought as consequence the closure of the vast majority of commercial and industrial activities, having immediate consequences in the macroeconomic projections, where the increase in unemployment is above 20% in May 2020, this would bring more people to the absolute poverty level that they had at the beginning of this 21st century, which were 49%, and that it is not easy in the medium term to return them to levels before starting confinement. The education presented an adaptation of going from being almost face-to-face to distance and virtual education, where pedagogical strategies such as activity guides, the use of communication technologies had to be used to teach distance classes synchronously and in some cases full virtuality where there are asynchronous times all these ways of imparting knowledge to Colombian students. ' This was achieved through the support of digital education, the use of the internet and the use of information and communication technologies, so that the educational system continued to function properly, without exposing students to the Covid pandemic. 19.
Deep learning enables fully automated mitotic density assessment in breast cancer histopathology

Background: Mitosis counting is an important part of breast cancer grading, yet known to suffer from observer variability. Advances in machine learning enable fully automated analysis of digitized glass slides. The present study evaluated automatic mitosis counting and demonstrated applicability on triple negative breast cancers (TNBC).
Dependency Parsing with Noisy Multi-annotation Data

In the past few years, performance of dependency parsing has been improved by large margin on closed-domain benchmark datasets. However, when processing real-life texts, parsing performance degrades dramatically. Besides the domain adaptation technique, which has made slow progress due to its intrinsic difficulty, one straightforward way is to annotate a certain scale of syntactic data given a new source of texts. However, it is well known that annotating data is time and effort consuming, especially for the complex syntactic annotation. Inspired by the progress in crowdsourcing, this paper proposes to annotate noisy multi-annotation syntactic data with non-experts annotators. Each sentence is independently annotated by multiple annotators and the inconsistencies are retained. In this way, we can annotate data very rapidly since we can recruit many ordinary annotators. Then we construct and release three multi-annotation datasets from different sources. Finally, we propose and compare several benchmark approaches to training dependency parsers on such multi-annotation data. We will release our code and data at http://hlt.suda.edu.cn/~zhli/.
Simulation of THz-TDS echo filtering algorithm based on deep learning

We analyzed the reasons why ZnTe generates terahertz echo. Based on the Gaussian beam, the terahertz signal with echo is produced by simulation. In this paper, the deconvolution algorithm is further improved. The linear assumption that sample absorption is proportional to frequency is abandoned. We studied the method of echo based on Echo State Network. Set 200 neural units in each layer of the network. We specify 250 rounds of training. To prevent the gradient from exploding, set the gradient threshold to 1. Specify an initial learning rate of 0.005. After 125 rounds of training, multiply it by a factor of 0.2 to reduce the learning rate. This method largely removes echo. But it has not been completely removed, and there is still less than 5% of the echo signal remaining. We consider the reason may be that the number of neurons, the number of iterations, weight setting and other parameters have yet to be optimized. Although this method does not completely remove the echo, but provides a new method for removing the echo. By optimizing parameters such as the number of neurons, the number of iterations, weight setting and increasing the amount of training data, this method is expected to become a new method for echo removal.
Face Recognition Based Attendance System using Python

Automatic face recognition (AFR) technologies have made many improvements in the changing world. Smart Attendance using Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on high - definition monitor video and other information technology. In my face recognition project, a computer system will be able to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically.
THE VISUALIZATION METACOGNITIVE STRATEGY TO IMPROVE READING COMPREHENSION

Improving the reading comprehension of the students requires creativity in finding the strategy and motivation to read. Therefore, this research aims to implement visualization metacognitive strategy to improve the students’ reading comprehension. The researcher focuses on the implementation of visualization metacognitive strategy in improving the reading comprehension by using recount text. Then she also limits the scope on reading sub-skills that consists of main idea, supporting details, inference, reference, and vocabulary.  This research used tests which are divided to pretest and post-test and also questionnaire as the instruments. The samples were the students from SMAN 4 Banda Aceh, which consisted of 66 students and divided into experimental class and control class. The scores were tabulated statistically by using t-test. Then, the researcher also analyzed the students’ visual representation. The result of hypothesis testing of this research showed that students’ reading comprehension is significantly improved. This strategy developed students’ knowledge on reading sub-skills. Furthermore, the result of the students’ responses toward the strategy was responded positively by the students as it shows the result of 97% at the questionnaire. Therefore, it is suggested to implement visualization metacognitive strategy in improving reading comprehension. In conclusion, this research has demonstrated that the treatment activities have improved the students’ reading comprehension as they enjoy  competition and fun in learning English.
Penerapan Model Dua Tinggal Dua Tamu dalam Upaya Meningkatkan Motivasi dan Hasil Belajar Peserta Didik Kelas I SD Negeri 47 Mataram

This study aims to determine the effectiveness of the TT Duo An Competitive Prize model in an effort to increase motivation and learning outcomes of Class I students of SD Negeri 47 Mataram. The benefits of this research are encouraging students to develop learning skills in groups (cognitive) and to socialize with friends as a learning process in the classroom. And for teachers to improve the development of approaches and models of learning by applying scientific and discovery learning strategies in group work learning (cooperative) with the discussion method. This research was conducted in two cycles, each cycle of activities is; planning, implementation, observation and reflection. The final results of the action in the second cycle showed that the teacher's observation of 4.50, the results of student observations reached an average score (4.21). While the acquisition of student learning outcomes reaches an average value (87.31), meaning that indicators of success (> 4.0) and learning outcomes (> 75.00) have been exceeded. Because the indicators of success have been achieved, the study was declared successful and stopped in cycle II.
Image Processing in Health Informatics

There is no doubt that the image has become the most common source of information in all ways as it carries a huge amount of natural descriptions about the corresponding scene. Recently, biomedical images-based applications have received more attention from the image processing and health informatics research communities. Principally, biomedical image processing has become interesting in its multidisciplinary nature. The medical image processing can be executed in 2D, 3D or even multi-dimensional images to extract useful information. These images serve in the ultimate goals of clinical activities such as monitoring, diagnosis, localization, and treatment. Nowadays, there is an inevitable need to get a concrete surgery system to help and automate the clinical workflow to solve in a shorter period. As well, providing the medical images in high quality and fascinating storage may contribute in such surgery systems. Therefore, in this chapter, we shortly cover core principal medical image processing techniques, image enhancement, and compression. We consider to cover these techniques as they handle the most two challenges in biomedical imaging, which are image quality and image storage/transmission. We focus on three main types of medical images: magnetic resonance imaging (MRI), X-ray/computed tomography (CT), and Ultrasound images. Furthermore, we report the usage of image processing-based techniques in the recent medical imaging systems and technologies.
Цифровая экономика: новая роль опорных университетов

The article presents the significant challenges and prospects of digital transformation of the educational environment. The role of the flagships universities in modeling and filling of learning content is made actual by the request response related to digital economic.
Research Guides: Subject and Topic Guides: Guide List

A listing of all subject guides currently published by the Midland College Learning Resource Center Includes a list of, links to, and descriptions of subject guides addressing Midland Colleges programs of study