Reviewerly/exHarmony huggingface dataset:
비타민D 보충 요법이 폐경 후 여성 근력에 미치는 효과: 메타분석

Purpose: Postmenopausal women are a unique population with high risk for the degeneration of muscle. The aim of the present meta-analysis was to accurately evaluate the effects of vitamin D on muscular strength in postmenopausal women. Methods: A review was conducted using electronic databases, including PubMed, EMBASE, Ovid Medline, CINAHL complete, and the Cochrane Library from inception through 19 March 2019. Included studies were selected by two independent reviewers. The meta-analysis were performed using Review Manager 5.3 software. Results: A total of nine randomized controlled clinical trials were included in this review. Vitamin D interventions led to no changes in the upper limb muscle strength (mean difference –0.16, 95% CI: –1.09 to 0.77),lower body muscle strength (standard mean difference 0.08, 95% CI: –0.11 to 0.26), and back/hip muscle strength (standard mean difference 0.06, 95% CI: –0.05 to 0.17). Conclusion: Pooled results from eight studies indicated that supplementation of vitamin D did not increase muscle strength in postmenopausal women. Apparently, the present review suggests that supplementation of vitamin D alone had no didn’t show any beneficial effects on muscle strength in postmenopausal women.
The Effect of Using Problem-based Group Discussion Technique to Improve Transactional Speaking Skills of Second Grade Students at Vocational High School 5 Gowa

The results of this study indicate two things namely the first; Problem-based group discussion techniques can improve students' transactional speaking skills. That is evidenced by the results of the statistical analysis of the significance level of P = 0.05 with degrees of freedom (df) = 9 indicating that the t-test scores of students' speaking skills (3,498) are higher than the values of t-tables. (2,262). Second; there are seven factors that affect the improvement of students' transactional speaking skills, namely cohesiveness, suitability, roles, goals, charismatic leadership, inspiration and competition & conflict. The outcome of this research is to help the students improving their transactional speaking skills in exchanging information, taking a part in formal discussions or having a good presentation and even learning to work in real-lifesituations by using problem-based group discussion techniques. Therefore, the teachers will be able to use a new teaching technique that is good and they may leave the old technique because the school has been applied 2013 curriculum.
Healthcare Critical Knowledge Monitor System Model: Healthcare Knowledge Capture Component Specification

The constant evolution of Information and Communication Technologies brings new opportunities with multiple forms of communication, therefore new ways of sharing knowledge. In healthcare practice, being updated it’s extremely important in order to provide a better service. The growth of multiple sources of knowledge, mostly supported by technology, gives more opportunity to achieve it. Another way to be updated is sharing knowledge with partners and communities, which is becoming part of the healthcare organizations culture (i.e. Electronic Health Record systems).
Analisis dan Perancangan Sistem Informasi E-Posyandu Pada Posyandu Watukarung Berbasis Mobile Application

Posyandu Watukarung is one of the Posyandu that conducts integrated health service activities in Sleman. One form of posyandu services in Watukarung is to monitor the development of toddler depicted in the graph in the form of a Kartu Menuju Sehat (KMS). Recording of toddlers data which is done manually and carried out by more than one officer can result in data reductions, resulting in invalid reports. Under-maintenance KMS by parents which results in damage or lost KMS causes posyandu officers to have difficulties when validating toddler data. By reviewing the things that have been described above, the authors plan to create an E-Posyandu information system at the posyandu using the SDLC information system development method. The author uses PIECES analysis, UML, interface design and database design. The resulting application is a website application for posyandu officers, then an Android-based E-Posyandu application is used for toddlers' parents. Website application is intended to input and manage toddlers data. While the Android system is intended for monitoring the development of toddlers. This information system can provide information on recording immunizations, administering vitamin A, determining the nutritional status of infants and displaying the development of toddler weight and toddler length in graphical form. Keywords : Kartu Menuju Sehat (KMS), Android, E-Posyandu, Graphical .
Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies

While identifying those who are most vocal on social media movements can be straight-forward, finding hidden groups can be challenging. This poster presents a case study focused on the relationship between mentions of universities in the #MeToo Twitter conversation and policies universities have implemented with regards to harassment and assault. Preliminary results suggest that there is variation in terms of policies, resources and responses to sexual misconduct across campuses and that there is also variation in the number of mentions of different universities. However, there is not a clear relationship between policies and online discussion involving universities.
Regression and optimization

This chapter returns to the more theoretical embedding of machine learning in regression. Prior chapters have shown that writing machine learning programs is easy using high-level computer languages and with the help of good machine learning libraries. However, applying such algorithms appropriately with superior performance requires considerable experience and a deeper knowledge of the underlying ideas and algorithms. This chapter takes a step back to consider basic regression in more detail, which in turn will form the foundation for discussing probabilistic models in following chapters. This includes the important discussion of gradient descent as a learning algorithm.
An analysis of the implementation and development of the International Baccalaureate Diploma Programme for the Global Students: Focusing on the National School of Kazakhstan

현재 급격히 진전된 세계화의 흐름에 발맞춰 차세대 글로벌 인재 양성을 위한 교육제도 운영의 효율성을 높이는 데 많은 나라가 선진 교육프로그램을 자국 교육현장에 적극적으로 반영하고 있다. 본 연구는 최근 교육 혁신과 교육과정 재구성 대책으로 주목받고 있는 국제표준 교육과정(International Baccalaureate Diploma Programme, 이하 IBDP)의 실행 사례 분석을 통해 공교육체제의 IBDP 운영과 발전에 주는 실질적 시사점을 탐색하는 데 주요 목적이 있다. 이를 위해 관련 문헌 자료 분석을 토대로 카자흐스탄 국립학교 IBDP 교육에 참여한 교원, 학생을 대상으로 면담 조사를 시행하였다. 조사 결과, IBDP 실행을 위한 단위학교 차원의 행·재정적 지원, 학습자 중심의 통합교육과정 편성, 학생들의 요구를 고려한 교육과정 운영 및 학생 관리, IB학교 간의 교수-학습 경험 공유와 컨설팅 형식의 협력체제 구축 등의 특징이 확인되었다. 한편 높은 수준의 교육 난이도와 학습량 증가, 카자흐스탄 대학입시제도와의 연계 미비, 학사 운영의 어려움과 교사들의 전문성 부족 등의 문제점도 여전히 쟁점화되고 있었다.The main purpose of this study is to analyze the International Baccalaureate Diploma Programme(IBDP) implementation in the Kazakhstan national education system and to explore practical implications for its improvement. The interpretation of the results is based on the analysis of the literary data and interviews with IBDP teachers and students. According to the interviews results, administrative and financial support for IBDP implementation, integration curriculum based on learners, operation of curriculum considering students needs and management etc. characteristic was confirmed. However, it was confirmed that there were problems such as high level of education difficulty and increased workload, inadequacy of connection with the university entrance examination system in Kazakhstan, difficulties in program operating were still on the agenda. This study conducted an in-depth analysis of the implementation of IBDP in Kazakhstan and reached the following solutions: there was given the possibility of the introduction of IBDP to the public education system in the future.
Field Studies: Bringing Historical Records Down to Earth

There are many field techniques that take research beyond what can be found in written documents. Clues to the past are hidden in such subtle (and not so subtle) features as topographic modifications, soils, and tree trunks. Field studies search for evidence of conditions and for their resultant effects through a variety of techniques. Features may be evident from a ground survey, located precisely through GPS. Remote imaging, using a variety of techniques from simple aerial photography to lidar, reveal hidden patterns, that may then be studied on the ground. Archeological study relates the patterns found on the ground to human activities, as they have changed over time. Dendroecology interprets records left in tree rings. Some studies look at stands of different ages to study change over time, and long-term studies trace change in individual stands. In these field studies that look at the past, soil characteristics and materials hidden in the soil, such as DNA, stable isotopes and charcoal, can reveal details of past processes and species. These methods are illustrated with examples from a wide range of biomes.
International Scientific Conference “An Artist in the Modern World: from Professional Education to Creativity” (Kursk, May 20–22, 2019)

The paper focuses on the results of the International Scientific Conference held in Kursk. It explored the relationship between culture and man, the dialectical connection of the theory and practice of modern art education. The participants analysed the evolution of meanings and values of culture in the conditions of a post-industrial, “digital” civilization, drew attention to the artist’s mission of promoting spiritual development, learning, preservation and enhancement of aesthetic values. They discussed issues of training talent in fine art, design, architecture. A special concern of the forum participants is the “computerization” of art, its transformation from a creative sacrament into “technology”, into the mainstream production of “mass culture” products.
Basic probability theory

The discussion provides a refresher of probability theory, in particular with respect to the formulations that build the theoretical language of modern machine learning. Probability theory is the formalism of random numbers, and this chapter outlines what these are and how they are characterized by probability density or probability mass functions. How such functions have traditionally been characterized is covered, and a review of how to work with such mathematical objects such as transforming density functions and how to measure differences between density function is presented. Definitions and basic operations with multiple random variables, including the Bayes law, are covered. The chapter ends with an outline of some important approximation techniques of so-called Monte Carlo methods.
The Experience of Detailing the Results of Magnetic Surveys of Archaeological Sites by Electrical Exploration Methods

Now, the work aimed at extracting maximum information about archaeological objects using geophysical methods is relevant. The possibilities for this give us the integration of various geophysical methods. In 2018–2019, electrical exploration works were carried out at the archaeological site Ust-Tartas mounds (Western Siberia). The sites for these works were selected based on magnetic survey data. The purpose of the research was to obtain additional information on the parameters of archaeological objects and to compare the possibilities of different geophysical methods. Several different magnetic anomalies were chosen for the studies. Methods of electromagnetic frequency sounding, electrotomography and georadiolocation were used. We were able to refine the length, width, depth of objects, and their configuration. The type of objects studied (burial or pit, settlement complex) is defined. The most informative results, which complement the magnetic survey data, are obtained using the electrotomography method.
Cyclic models and recurrent neural networks

This chapter discusses models with cyclic dependencies. There are two principle architectures that are discussed. The first principle architecture of cyclic graphs comprises directed graphs similar to the Bayesian networks except that they include loops. Formally, such networks represent dynamical systems in the wider context and therefore represent some form of temporal modeling. The second type of models have connections between neurons that are bi-directional. These types of networks will be discussed in the context of stochastic units in the second half of this chapter.
Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques

With the availability of text data in various forms on social media platforms, text mining, and sentiment analysis has received huge attention. The task of deriving information from this volume of data to extract knowledge is very complex and expensive because it is usually unstructured and contains noise. Recently, there is a growing need for implementing various approaches and models for efficiently processing this type of data and extracting useful information. This process is known as sentiment analysis, which includes: data gathering, data pre-processing, feature engineering and labeling, finally the application of various natural language processing and machine learning algorithms. This paper provides an overview of the most recent methods used in text mining and sentiment analysis along with their detailed description and a discussion of obtained results.
Efficiency of development of regional higher school: qualitative and quantitative analysis (example of Volga federal region)

of the European Union.Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. 'The expert group recommended that the classification and reporting of non-traditional educational and/or recreational and lifelong learning activities should be addressed and solved. The UNESCO Institute for Statistics (UIS), Eurostat and ILO should be involved in this task.'Both the UNESCO Institute for Statistics and the International Labour Organisation have been involved in the CLA project since its beginning, participating in the task group on classifications, which acted as the steering group for the project in 2002-2003, in the framework of the Eurostat task force on the adult education survey.
Literasi Digital dan Pemahaman Konsep Himpunan Siswa SMP Menggunakan Media Pembelajaran GUI Matlab

The purposes of this research are to analyze the digital literacy of students in using the GUI Matlab learning media and understanding the concept of set in junior high school students through digital literacy using the GUI Matlab. To answer these problems using a qualitative approach. The subjects of this study were five students of class VII tutoring. The research instruments used in this study were a test, an interview, and a questionnaire. Data are analyzed by reducing data, presenting narrative data, and concluding results. The results of this study show that the digital literacy of students in using GUI Matlab learning media is excellent. Besides, 80% of students can determine the members of the set correctly, 80% of students can determine the empty set correctly, 100% students can draw Venn diagrams correctly, determine the set of complements correctly, and determine the subset.
Penerapan Data Mining Terhadap Data Penjualan Lapis Bogor Sangkuriang Dengan Metode Algoritma Apriori

Determination of the pattern of purchasing goods and layout of goods based on the tendency of consumers to buy goods canbe one solution for the Bogor Sangkuriang Lapis Shop in developing marketing strategies so as to increase sales of Lapis Bogor Sangkuriang products. The algorithm that can be used to determine the pattern of purchasing goods and this layout is the Apriori Algorithm which is one of the data mining algorithms in the formation of rule mining associations. With frequent items in a priori algorithm by producing a small frequent, without doing candidate generation and minimizing the completion stages starting at k-1 items or the first stage in the a priori algorithm then used with the FP-Growth method where this method is very significant with the a priori algorithm , efficient in terms of time, the completion stage is faster, produces less frequent items and is more detailed in describing frequent item results because frequent results with a value &lt;1 are still shown, not deleted. This research produced the most sold products for layer cakes are Original Cheese, Cheese Brownies, Full Talas. Based on the rules of the final association, it is known that if you buy the Bogor Sangkuriang Lapis Original Cheese cake layer, you will buy the Lapis Bogor Sangkuriang Brownies Cheese and Full Talas Cheese with a support value of 30% and a confidence value of 70%. Based on these results the company can make the decision to develop a strategy that is done next
Subject and Course Guides: Marketing 443: Home

This guide will point students in the right direction for finding information for The Next Big Thing team project.
Game Theory Analysis on Behavior Strategy Selections of Employees Under “996” Working System

On March 27, 2019, a project called 996ICU spread on GitHub. What is 996.ICU? It's work 996, sick ICU. The project received a wide response as soon as it was released. There have been a lot of favorable and critical comments on the "996" work system, which has triggered a wave of hot public opinions. Based on the game theory, this paper tries to analyze the employee's behavior strategy selection under "996" working system, and reveal the internal reasons for the long-term existence of "996" working system.
Combining Multi-level Loss for Image Denoising

The image processing has witnessed remarkable progress in image denoising. Nevertheless, restoring the visual quality of the image remains a great challenge. Existing methods might fail to obtain the denoised images with high visual quality since they ignore the potential connection with the high-level feature and result in over-smoothing results. Aiming to research whether high-level feature could influence the performance of denoising task, we propose an end-to-end multi-module neural network architecture, which introduces the combination of the high-level and low-level feature in the training process, for image denoising. In order to guide model preserve structural information efficiently, we introduce a hybrid loss, which is designed to restore details from both pixel and feature space. The experimental results show our method improves the visual quality of images and performs well compared with state-of-the-art methods on three benchmarks.
Perancangan Dan Pengujian Diagnosa Kerusakan Mesin Mobil MPV Dengan Case Based Reasoning

The development of the automotive world, many automotive industries that produce cars with the most recent capabilities. Cars are one of the means of transportation that is widely used by Indonesian people. The Indonesian Association of Automotive Industries (Gaikindo) noted that car sales in the January-March 2018 period reached 291,827 units. Damage to the car engine occurs due to negligence in carrying out maintenance. Users often complain, or have experienced confusion if the car being driven suddenly breaks down in the middle of the road. The reason is due to the limited knowledge of car users about the signs of damage to the car. In particular, MPV (Multi Purpose Vehicle) cars. Therefore, research requires the use of information technology through a method that combines expertise and knowledge of experts to build a new knowledge application based on a based case. This research uses a case database which is called the Case Based Reasoning method, the programming language used is Visual Basic programming language. With this system, it is expected to provide convenience to technicians and car users to find out the symptoms of damage to the MPV (Multi Purpose Vehicle) car engine
Digital Image Analysis Using Immunohistochemistry for a Myoepithelial Marker (CK14/P63) Differentiating DCIS from Invasive Breast Cancer

Many researchers have reported immunohistochemistry of breast pathology studied using image-analysis software.Aims: This study was to confirm the availability of digital image analysis (DIA) for breast pathology using immunohistochemistry for a myoepithelial marker with an antibody cocktail targeting CK14/p63 to differentiate ductal carcinoma in situ (DCIS) from invasive ductal cancer (IDC). Methods and Material:We collected 139 consecutive core needle biopsy (CNB) specimens diagnosed as "malignant".All 139 CNB specimens were stained with a cocktail of antibodies targeting CK14/p63.All stained sections were photographed using data be scanned by a whole-slide imaging system.The images were analyzed using software to clarify the proportions of tumor cells that were positive or negative for the marker.The cutoff value for CK14/p63 (negative or positive) was determined using receiver operating characteristic (ROC) analysis. Results:The cutoff value for CK14/p63 was 3.17%, and a significant difference was found between DCIS and IDC (P < .0001).In DIA Dx, the sensitivity, specificity, positive predictive value for IDC, and negative predictive value for IDC were 76.9%, 83.3%, 93.9%, and 34.9%, respectively (P < .0001). Conclusion:DIA of immunostaining for CK14/p63 of breast cancer specimens is useful for distinguishing between DCIS and IDC.
Two- and Three-Input Fuzzy PID Controller Structure of Takagi-Sugeno Type

In this paper, we analyze and present a general structure of fuzzy PID controller of Takagi-Sugeno (TS) type having two and three inputs. We show that while three-input fuzzy PID controller gains have an one-to-one relation with the conventional controller gains, this relationship is not directly evident in the case of two-input fuzzy PID controllers. The tuning of input/output scaling parameters of the presented fuzzy PID controllers is addressed based on the structure of conventional PID controllers.
The Impact of Implementing Electronic Workforce Management System in Hamad Medical Corporation on Nursing Staff Management

Despite of the benefits of implementing an integrated workforce management system in healthcare setting, having a system capable of processing staff data, facilitating patient assignment according to acuity level and the nursing workload, there is no enough evidenced based data on the improvements and gains of the transformation from previous staffing practices to a comprehensive workforce Management system.The purpose of this study is to assess impact of implementing the Work force Management System in enhancing the effectiveness of staffing management and the level of end user satisfaction compared to the previous workflow.A quantitative study design was adopted where a questionnaire survey was conducted with 113 nursing managers and 231 staff nurses who approved to participate in the research.The survey tools were divided to two parts; part1 to survey nursing managers and part 2 to survey the staff nurses.Findings revealed that automating staffing management has positive impact on the nurses manager staffing management practice as 80.5% agreed on the effectiveness of workforce management system and 74.9% of staff nurses are generally satisfied with the system.In conclusion, the Interoperability of workforce management system may result in higher satisfaction rate but it increases the need for continuous training and familiarization in addition to close system monitoring and optimization.Thus, in order to achieve effective scheduling, optimal utilization of staffing, and fair distribution of assignments with consideration of patient acuity level, it is recommended to develop a competency based training framework in order to improve using the system by end users as required in addition developing workforce system performance optimization plan to ensure the system is effectively performing.