Reviewerly/exHarmony huggingface dataset:
The Novel Computer Aided Falling Detection System Using Mobile Phone for Elderly Person

Falls are dangerous for the elderly population; therefore, many fall detection systems have been developed. However, previous methods are bulky for elderly people or only use a single sensor to isolate falls from daily living activities, which makes a fall difficult to distinguish. In this paper, we present a cost-effective and easy-to-use portable fall-detection sensor and algorithm. Specifically, to detect human falls, we used a three-axis accelerator and a three-axis gyroscope in a mobile phone. We used the Fourier descriptor-based frequency analysis method to classify both normal and falling status. From the experimental results, the proposed method detects falling status with 96.14% accuracy.
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm

Web Service Composition (WSC) is a particularly promising application of Web services, where multiple individual services with specific functionalities are composed to accomplish a more complex task, which must fulfil functional requirements and optimise Quality of Service (QoS) attributes, simultaneously. Additionally, large quantities of data, produced by technological advances, need to be exchanged between services. Data-intensive Web services, which manipulate and deal with those data, are of great interest to implement data-intensive processes, such as distributed Data-intensive Web Service Composition (DWSC). Researchers have proposed Evolutionary Computing (EC) fully-automated WSC techniques that meet all the above factors. Some of these works employed Memetic Algorithms (MAs) to enhance the performance of EC through increasing its exploitation ability of in searching neighbourhood area of a solution. However, those works are not efficient or effective. This paper proposes an MA-based approach to solving the problem of distributed DWSC in an effective and efficient manner. In particular, we develop an MA that hybridises EC with a flexible local search technique incorporating distance of services. An evaluation using benchmark datasets is carried out, comparing existing state-of-the-art methods. Results show that our proposed method has the highest quality and an acceptable execution time overall.
Learning to write short stories with self-regulation strategy development (SRSD) and text song

This classroom action research aims to improve the skills of writing short stories in junior high school students with strategies SRSD and song texts. The issues are the focus of study in this research is; Do SRSD and song texts can improve learning students' writing? From the analysis of the data, the conclusions obtained from this research is to increase the ability of students to write short stories with SRSD and text tracks that can be seen from the increasing student learning outcomes. It can be seen from the evidence of quantitative and qualitative evidence. Quantitative evidence: the value of students who achieve KKM 34 students (94%), student scores less than KKM 2 students (5.5%). There was an increase of 80.2% from the first cycle and the second cycle. Qualitative evidence shows: (1) the student is doing the learning beminat (2) students are more daring expression (3) the learning environment more natural and fun. Observation of the students do in school activity. Evidence suggests that learning to write short stories SRSD and text can be used to improve the ability to write short stories.
Infográfico interativo: geophysical investigation using the GPR method: a case study on the contamination of lead in the Santo Amaro town, Bahia, Brazil

Infografico interativo, visando ampliar o alcance da informacao geocientifica em direcao ao publico nao especializado, embasado no artigo cientifico Geophysical investigation using the GPR method: a case study on the contamination of lead in the Santo Amaro town, Bahia, Brazil, disponivel no link: https://jgsb.cprm.gov.br/index.php/journal/article/view/25/20. Artigo cientifico publicado no Journal of the Geological Survey of Brazil (JGSB) vol 1, no 2, 61-67, August 2018. Parceria do projeto Visualizacao da Informacao Cientifica com o JGSB.
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks

We introduce a multiscale supervised dimension reduction method for SPatial Interaction Network (SPIN) data, which consist of a collection of spatially coordinated interactions. This type of predictor arises when the sampling unit of data is composed of a collection of primitive variables, each of them being essentially unique, so that it becomes necessary to group the variables in order to simplify the representation and enhance interpretability. In this paper, we introduce an empirical Bayes approach called spinlets, which first constructs a partitioning tree to guide the reduction over multiple spatial granularities, and then refines the representation of predictors according to the relevance to the response. We consider an inverse Poisson regression model and propose a new multiscale generalized double Pareto prior, which is induced via a tree-structured parameter expansion scheme. Our approach is motivated by an application in soccer analytics, in which we obtain compact vectorial representations and readily interpretable visualizations of the complex network objects, supervised by the response of interest.
Students’ Lived Experience of Using Seesaw Class Application in English I Class

&lt;p&gt;This paper aims at discovering students’ lived experience in using Seesaw Class application in English I Class. Seesaw Class is an application for teaching-learning in the smartphone. Applications are used as the media for learning in the present era. Seesaw Class application is used to enhance English skills and components during teaching-learning activities. Various features in Seesaw Class application provide more space for students to express their ideas. The method used is a hermeneutic- phenomenology method. It focuses on the description and interpretation of lived experience. The data were gathered with in- depth interview, observation, and document review. The research was validated with triangulation. The research results are divided into empirical themes and transcendent themes. Meaning in each theme is revealed with deep understanding of the research and has the implication in the practice area. The concept discovered in this study is explained in a Venn diagram and has the implication in the theory area.&lt;/p&gt;
Fast and Robust Distributed Subgraph Enumeration

We study the classic subgraph enumeration problem under distributed settings. Existing solutions either suffer from severe memory crisis or rely on large indexes, which makes them impractical for very large graphs. Most of them follow a synchronous model where the performance is often bottlenecked by the machine with the worst performance. Motivated by this, in this paper, we propose RADS, a Robust Asynchronous Distributed Subgraph enumeration system. RADS first identifies results that can be found using single-machine algorithms. This strategy not only improves the overall performance but also reduces network communication and memory cost. Moreover, RADS employs a novel region-grouped multi-round expand verify & filter framework which does not need to shuffle and exchange the intermediate results, nor does it need to replicate a large part of the data graph in each machine. This feature not only reduces network communication cost and memory usage, but also allows us to adopt simple strategies for memory control and load balancing, making it more robust. Several heuristics are also used in RADS to further improve the performance. Our experiments verified the superiority of RADS to state-of-the-art subgraph enumeration approaches.
HUBUNGAN PENGELOLAAN KELAS DENGAN HASIL BELAJAR MATEMATIKA SISWA KELAS V SD SE-GUGUS I KECAMATAN MARPOYAN DAMAI PEKANBARU

ABSTRACTThis research aims to find out the correlation between classroom management and mathematics learning outcomes of 5th grade students of elementary school cluster 1, Marpoyan Damai Sub-district, Pekanbaru. This is a qualitative research which applies korelasional method. The samples of this research are teachers and 5th grade students chosen by using snowball sampling technique. The data were collected by using observation sheet, interview guidelines, and documentation. Meanwhile, the students’ mathematics learning outcomes data were taken from mathematics average score of 5th grade students. The data were analyzed through three steps namely; data reduction, data display, conclusion drawing and verifying. According to data analysis, it was found out that there were correlation between classroom management and mathematics learning outcomes where it could be seen from the increasing of students’ average score. Hence, it can be stated that teachers had fulfilled the principle of classroom management. Teachers also had implemented the factors that influence classroom management quite well. However, it could not be denied that there was still sub-indicator that teachers could not implement such as inappropriate space of classroom management. Based on research results, it can be concluded that the better the classroom management is implemented, the better the students’ mathematics learning outcomes will be.
@ajpodchaski Agree! And don't be afraid to ...

@ajpodchaski Agree! And don't be afraid to start your own. A meet up on any topic is just two people meeting somewhere with free wifi
Plan S and the Quest for Global Open Access: February 2019 Version

Plan S is an ambitious, EU-based effort attempting to accelerate the global transition to open access. While this plan isnât the only one trying to improve open, or the first, it has generated much interest and discussion. Some in OSI support Plan S as written. Others support it with minor changes. Still others support the plan but with major changes, or the idea of Plan S but not this plan. As a body representing the views of all stakeholder groups in scholarly communication, the opinions and interests of OSI on Plan S are broad. One of our goals, however, on Plan S and other scholcomm issues, is to find common ground between these views. Therefore, this document provides a brief overview of Plan S, OSI's observations about it, and suggestions about where common ground might exist.
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms

The Bayesian Optimisation Algorithm (BOA) is an Estimation of Distribution Algorithm (EDA) that uses a Bayesian network as probabilistic graphical model (PGM). Determining the optimal Bayesian network structure given a solution sample is an NP-hard problem. This step should be completed at each iteration of BOA, resulting in a very time-consuming process. For this reason most implementations use greedy estimation algorithms such as K2. However, we show in this paper that significant changes in PGM structure do not occur so frequently, and can be particularly sparse at the end of evolution. A statistical study of BOA is thus presented to characterise a pattern of PGM adjustments that can be used as a guide to reduce the frequency of PGM updates during the evolutionary process. This is accomplished by proposing a new BOA-based optimisation approach (FBOA) whose PGM is not updated at each iteration. This new approach avoids the computational burden usually found in the standard BOA. The results compare the performances of both algorithms on an NK-landscape optimisation problem using the correlation between the ruggedness and the expected runtime over enumerated instances. The experiments show that FBOA presents competitive results while significantly saving computational time.
Wigner functional theory for quantum optics

Using the quadrature bases that incorporate the spatiotemporal degrees of freedom, we develop a Wigner functional theory for quantum optics, as an extension of the Moyal formalism. Since the spatiotemporal quadrature bases span the complete Hilbert space of all quantum optical states, it does not require factorization as a tensor product of discrete Hilbert spaces. The Wigner functions associated with such a space become functionals and operations are expressed by functional integrals -- the functional version of the star product. The resulting formalism enables tractable calculations for scenarios where both spatiotemporal degrees of freedom and particle-number degrees of freedom are relevant. To demonstrate the approach, we compute examples of Wigner functionals for a few well-known states and operators.
Bentuk Hias Tembikar Di Wilayah Sumbagsel: Kunduran, Lolo Gedang, dan Muak Ornamental Shape Pottery In The Southern Sumatera Region: Lolo Gedang, Muak, and Kunduran

Abstract. Pottery is a tool made by hands with special skills. Pottery one of the cultural results that began to be known at the time of cultivation in Indonesia. Pottery is a fragile item, because the ingredients and the manufacturing process produce goods that have limited endurance in their use. The varying needs of pottery also indicate the diversity of forms made of produced. Pottery artifacts are often found on archaological sites, either intact or broken in an occasional amount, and are the most dominant artifact findings among other artefact findings. From pottery data may be revealed some aspects of human life supporters, both the maker and the wearer. Research that has been done by archaeology center of south sumatera and the center of national archaeology research and development in sumbagsel region found many decorative pottery such as Kunduran Site, Lolo Gedang, and Muak. From Kunduran 9 decorative pottery, Lolo Gedang 41 decorated pottery, and Muak 11 decorated pottery.
Wall Recognizes Donors' Selected Children

The Major Gifts ReportVolume 21, Issue 3 p. 5-5 Donor Recognition Ideas Wall Recognizes Donors' Selected Children Megan Venzin, Megan VenzinSearch for more papers by this author Megan Venzin, Megan VenzinSearch for more papers by this author First published: 08 February 2019 https://doi.org/10.1002/mgr.31161Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume21, Issue3March 2019Pages 5-5 RelatedInformation
Model Knowledge Management System Konseling Mahasiswa Berbasis Cloud Computing

Information technology is increasingly developing and has a positive impact on the world of education. The implementation of student counseling with a Knowledge Management System is one of the contributions of information technology in the world of education. Many benefits provided by the Student Counseling Knowledge Management System, in managing the knowledge needed by the counselor section to document student consultations. The development and implementation of a KMS counseling system costs more to employ professional staff to maintain and improve; KMS student counseling application; For this reason, it is necessary to design a Cloud Computing-based Student Counseling Knowledge Management System. The research method carried out in the first stage is to collect data and information about Knowledge Management and Student Counseling, and how to use it to create a Knowledge Management System Application, Student Counseling Based on cloud computing. Furthermore, conducting a literature study and literature review, system design is in the form of data architecture compounding, process design, network design, and user interface design. The design results of this system can facilitate educational institutions in conducting online cloud computing-based student counseling
Speech act in English Interaction Used by Tour Guide in Bali

This research analyzed about speech act since there are some tour guides usually escape their main duty when they handling the guest's trip in Bali.We need to analyze about the classes of speech act that used by tour guide in Bali where it is the problem of this research.This research used the speech act theory by John L. Austin (1962).The data of this research have been taken from some of the Balinese Local Tour Guides; they usually handle the guest's trip in Bali and use English frequently.The research method that had been used in collecting data was method of field research.They were collected by recording and interviewing some Balinese local tour guides that used English for the interaction.Based on the result of this research, the Balinese tour guide frequently use three classes of speech act such as locutionary, illocutionary, and perlocutionary act.
Forensic analysis and investigation using digital forensics- An overview

Using Digital forensics and its investigation techniques is a path towards the data retrieval and analysis of different kinds of digital storage devices. Various kinds of digital storage devices like a USB drive (pen drive), hard drive (mainly external), floppy disks, CDs and a few others also. It is a technique or method for extracting the lost or useful data from the storage media, when unavailable. Now, forensic analysis concept comes from Digital Forensics or it can be called as its sub-domain. Certain conditions of the storage devices will be considered like burnt, wet and damaged drives for data retrieval and analysis. Data is a prime concern for every organization or individual or so-called the main component of the architecture and working of the IT industries and thus, so its repercussions can’t be ignored. Companies spent almost thousands of dollars for maintaining the security of their enterprise data. Thus, the data protection and its retrieval after data theft(cyber-attacks) or loss is will help in evaluating out large-scale vulnerabilities.
Driving Factors and Coping Strategies for the Rapid Development of MPACC in China

Under the call of national policies, the positive response of major colleges and universities, and the continuous improvement of social awareness, MPACC education in China has shown a rapid development trend. In response to this phenomenon, this paper has made a series of investigations and analysis on the reasons for its rapid development and the coping strategies needed to cope with the rapid development of MPACC.
Assertiveness Training and Psycho-Education as Preventive Measures of Drug Abuse among Secondary School Students in Makurdi Local Government Area

&lt;p&gt;This study investigated Assertiveness Training and Psycho-education as preventive measures of drug abuse among secondary school students in Makurdi Local Government Area. The study adopted a pre-test, post-test and control group experimental design with a 3x2 factorial matrix. The sampling techniques adopted were the simple random method where each student was given an opportunity to be selected, and randomization of experimental groups and the control group to the schools through balloting was also done. Drug abuse prevention questionnaire (DAPQ), a standardized instrument developed by Skinner (1982), with a reliability coefficient of .97 were used for data collection. A total of 40 secondary school students made up of 28 males and 12 females with ages ranging from 15-23 years took part in the study. They also had a mean age of 18.38 Three hypotheses were raised and tested. The results obtained revealed that firstly, assertiveness training and psycho-education have significant treatment effects in the prevention of drug abuse among secondary school students (F(2&lt;sub&gt;)&lt;/sub&gt;= 6.88; P&amp;lt; 0.05 ). Secondly, sex had no significant effect on prevention of drug abuse F(1&lt;sub&gt;)&lt;/sub&gt;= 0.32; P&amp;gt; 0.05 and thirdly, there was also no statistically significant interaction effects on drug abuse among secondary school students F(2)= 0.82; P&amp;gt; 0.05. Therefore, it is recommended that high premium is placed on developing and mainstreaming prevention programs on drug abuse into the school curriculum in secondary schools for students to become more assertive and acquire more knowledge on drugs and its effects on mental health.&lt;/p&gt;
Inducing Sparse Coding and And-Or Grammar from Generator Network

We introduce an explainable generative model by applying sparse operation on the feature maps of the generator network. Meaningful hierarchical representations are obtained using the proposed generative model with sparse activations. The convolutional kernels from the bottom layer to the top layer of the generator network can learn primitives such as edges and colors, object parts, and whole objects layer by layer. From the perspective of the generator network, we propose a method for inducing both sparse coding and the AND-OR grammar for images. Experiments show that our method is capable of learning meaningful and explainable hierarchical representations.
MENULIS TEKS PROSEDUR KOMPLEKS DENGAN MENGGUNAKAN METODE PROBING PROMPTING LEARNING

Learning to write the text of complex procedures in students of class X SMK is a problem in this study.This study aims to determine the improvement of learning capability to write text complex procedures of students of class X SMK academic year 2016/2017 which focuses on activities, differences in preliminary and final tests, and student responses.The method used is the method of probing prompting learning is expected to increase the creativity of students to the stages of activities in learning to write complex text procedures and can guide students in learning the text of complex procedures.The method used is experimental or quasi experimental method.Technique of collecting data is done by observation, questionnaire, and documentation in the form of photo.The results showed that (1) teacher and student activity when learning to write text of complex procedure by using probing prompting learning method has been run in accordance with predetermined planning; (2) the difference of the initial and final test of learning to write the text of complex procedures using probing prompting learning method.Data collection techniques used in this study are observations, field notes, questionnaires, tests, and photo documentation.The research instruments used include observation sheets, field notes, questionnaires, assessment sheets of complex text writing skills and photo documentation.
Understanding and Debating Risk

Ian Fish FBCS, Chair of the Information Security Specialist Group, says organisations often make fundamental mistakes in how they think about cyber risk.
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base

A question answering system (QA System) was developed that uses graph-pattern association rules on the YAGO knowledge base. The answer as output of the system is provided based on a user question as input. If the answer is missing or unavailable in the database, then graph-pattern association rules are used to get the answer. The architecture of this question answering system is as follows: question classification, graph component generation, query generation, and query processing. The question answering system uses association graph patterns in a waterfall model. In this paper, the architecture of the system is described, specifically discussing its reasoning and performance capabilities. The results of this research is that rules with high confidence and correct logic produce correct answers, and vice versa