Reviewerly/exHarmony huggingface dataset:
TRANSITIONING TO RDA: THE PHILIPPINE EXPERIENCE

This study describes the extent of implementation of RDA in the Philippines and determines the common problems encountered by libraries as they transition from AACR2 to RDA (Resource Description and Access). It also assesses the effectiveness of the training programs offered by the Philippine Association of Academic/Research Librarians, Inc., (PAARL) as well as the usefulness of the Cataloging Policy Statements and RDA Guidelines for Philippine Libraries that was prepared and disseminated by PAARL. The respondents of this study include those who received the initial RDA training (Training of Trainers) in 2014 and those who attended RDA trainings sponsored by PAARL. In addition, all active members of PAARL are included as part of the survey since they are the ones most likely to be the recipients of the trainings cascaded down by those who attended the Training of Trainers. Results show that a significant number of libraries have now implemented the use of RDA in their respective libraries, most of whom received their training from PAARL. The most common problems encountered by those that implemented RDA include lack of consistency in the library catalogs, data quality control and compatibility with MARC records, and user familiarity. On the other hand, some libraries are unable to implement RDA because of the high cost of subscription to the RDA toolkit. According to the respondents, the trainings provided by PAARL and the Cataloging Policy Statements and RDA Guidelines for Philippine Libraries are effective and useful.
Longitudinal Tracking of Students’ Academic Progress using Model-based Clustering

Clustering methods have often been used to group similar students’ performance for tracking their academic progress. A typical approach is to group the students by treating the observations as accumulated average marks on several assessed subjects within a period of time. Here, similar characteristics of students are identified based on the overall variation of marks between the subjects but ignores the temporal aspect of students performance even though the assessments are carried out at different time points. Alternatively, such characteristics in the observations could be treated as a set of longitudinal data since the measurements consider time-spaced and repeated events. This paper aims to compare the output between these two different treatments of observations using Model-based Clustering (MBC). Specifically, the average observations are applied to the classical MBC whereas the longitudinal observations require some adjustment to the covariance matrix to cater for its longitudinal data structure. A synthetic data set generated based on some pre-university students’ marks on four science subjects from three series of continuous assessments are applied to the methods. The results show that the longitudinal observations on adjusted MBC produce a greater number of clusters that could characterise students’ progress with a better internal and external cluster quality compared to the average observations on classical MBC.
Article Recommendation and Comics Story Representation for Twitter User Based Preferences

Twitter is an interesting platform for the dissemination of news. The real-time nature and brevity of the tweets are conductive to sharing of information related to important events as they unfold.Numerous consumer reviews of topics are now available on the Internet. Automatically identifies the important aspects of topics from online consumer reviews. Our method provides an efficient way to accurately categorize comic topic recommendation without need of external data, enabling news organizations to discover breaking news in real-time, or to quickly identify viral memes that might enrich marketing decisions, among others. We filter the stream of incoming tweets to remove junk tweets using a text classification algorithm.We also compare the performance of different supervised SVM text classification algorithms for this task. This study concentrates on analyzing potential and dynamic user correlations, based on topic-aware similarity and behavioral influence, which may help us to discover communities in social networking sites.
Optimal Resource Estimation Policy Selection for Ecommerce Applications in Cloud

Cloud Computing is growing exponentially across organizations in various domains and it has a vast impact on the way software gets developed and tested. The web based applications these days have configuration settings different from deployment requirements. The main focus of Cloud Computing is to deliver reliable, secured, fault-tolerant and elastic infrastructures for hosting an E-Commerce application. Scheduling policies and allocation policies for resources which affect the performance and utilization of cloud infrastructure (i.e. hardware, software services) for various E-Commerce application under varying load and system size is highly challenging problem to deal with. Performance analysis and optimal resource management policies allows cloud service providers to improve their Quality of Service (QOS). This work focuses on the process of selecting the best resource estimation policy for a given workload from various policies such as, Maximum Log-Likelihood, Maximum Product of Spacing Estimator, and Probability Weighted Movements. Detailed experimentation has been carried out for using the Amazon Web Service(AWS) public cloud, mimicking it on the cloudsim simulator. The modeling of workload is quiet challenging due to the unavailability of trace logs for analysis. Hence, in this paper, workload is generated based on application model for E-commerce application considering varying user behavior relating to different user profiles. The amount of resources consumed is closely monitored and a resource usage model has been developed and validated to choose the best estimation policy.
Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation

In this paper, we proposed a novel hybrid active contour driven by double-weighted signed pressure force method for image segmentation. First, the Legendre polynomials and global information are integrated into the signed pressure force (SPF) function and a coefficient is applied to weight the effect degrees of the Legendre term and global term. Second, by introducing a weighted factor as the coefficient of inside and outside region fitting center, the curve can be optimally evolved to the interior and branches of the region of interest (ROI). Third, a new edge stopping function is adopted to robustly capture the edge of ROI and speed up the multi-object image segmentation. Experiments show that the proposed method can achieve better accuracy for images with noise, inhomogeneous intensity, blur edge and complex branches, in the meanwhile, it also controls the time-consuming effectively and is insensitive to the initial contour position.
Ride and Hide: A Study on the Privacy of Ride Hailing Services

The rise of ride-hailing services (RHSs) is transforming our mobility. More and more people rely on such services on daily basis. In such services, users reveal their precise locations of origin and destination of desired trips to the service providers (SPs). Often, these locations are considered personally identifiable and further represent (sensitive) points of interest (POIs), e.g., a specific clinic one goes for treatment. Thus, service providers can collect and potentially abuse sensitive information on their user's mobility behavior. Therefore, despite of all the benefits of RHSs, they bring significant privacy risks to their users. One solution to this issue is to hide the origin and destination of a desired trip from the SP by obfuscating these locations while accepting some degree of a loss in service quality. In this paper, we consider a RHS using predefined taxi stops where users can request a ride-for-hire only from and to these predefined stops. This hides the POI of the user among other POIs around the stop. However, it also creates a quality loss in the form of additional walking distance to and from these stops to the actual origins and destinations. In this paper, we analyze both the privacy and the quality loss in such a service and compare this scenario to the conventional scenario of RHSs in which users can request a ride-for-hire to their precise trips' origins and destinations. We apply the so-called m-unobservability to measure the privacy gain in the case of the predefined stops. Furthermore, we use the (α, β)-usefulness as a metric to measure the quality loss in the case of the predefined stops service. We conduct our evaluation using two real-world datasets; the NYC taxi dataset, and the NYC bus stop shelter dataset which we define as predefined taxi stops. Based on this, we analyze over 13.2 million recorded taxi trips in NYC and evaluate the corresponding privacy level in addition to the quality loss in case a predefined taxi stop would have been used instead.
Pelatihan Pembuatan Media Pembelajaran Menggunakan Power Point, Wonder Share Quiz Creator Dan Edmodo Di SMK APIPSU Medan

The presence of information technology has been very well approved by the world of education as a center for the development of science and technology and producing quality human resources. In this era of globalization, it is necessary to synergize the mastery of science and technology to increase self-competence so that quality Indonesian human resources can be implemented. Science and Technology must be owned by educators to be able to easily transfer knowledge for all students specifically to the teachers at SMK APIPSU Medan. One way to improve teacher human resources is to provide training on how to create learning media using power points, Wondershare Quiz Creator and Edmodo to facilitate the learning process. The process of this community service activity is that teachers at the APIPSU Medan Vocational School were drilled to create teaching materials using Power Point, create questions or quizzes using Wondershare Quiz Creator software and the results will be uploaded through online learning media such as Edmodo application. Using this Edmodo application helps in the learning process because teachers can give assignments, give grades easily. And also the teachers and students can discuss each other through virtual classrooms. Keywords — human resource improvement, powerpoint training, wondesshare quiz creator, edmodo.
An RF-Powered Self-Locating Flexible Building Environment Sensor System

Wireless, battery-free, peel-and-stick sensors can enable many new capabilities in the Internet-of-Things(IoT). Low-cost sensor hardware and manufacturing together with no-skill installation and commissioning and low maintenance requirements can allow widely distributed sensors for continuous, comprehensive monitoring for structural health, physical health, safety, and industrial and environmental applications. This paper presents a system of RF-powered flexible sensors for building environment sensing with the potential to deliver up to 30% energy savings through improved HVAC controls. The system utilizes a set of electronic hubs that both provide remote power to the sensors and wirelessly relay sensor data to the building management system (BMS). The sensors are flexible electronic labels powered by rectified RF energy received from a hub and can contain multiple printed and conventional sensors including for temperature, humidity, and air quality. The electronic hub includes a programmable multidirectional beam-steering antenna that allows arbitrarily-placed sensors to be automatically located by the system through monitoring of received RF power as a function of transmission angle. The system has achieved extremely low-power operation, wireless sensor data transmission over > 10 meters, remote power delivered across >7 meters and sensor localization to within 0.5 meters.
Aplikasi Pengolahan Data Keuangan Pada Klinik Bidan Praktek Mandiri Hatika Prabumulih

Financial calculations are still using the usual mechanism. This writing aims to develop financial data processing applications by analyzing financial data processing applications at the ongoing Independent Practice Midwife Clinic Hatika Prabumulih and proposing new financial data processing applications so that it is more practical as a solution to the problems faced by the Midwifery Practice Clinic Hatika Prabumulih. The analytical method uses the data collection method. The system development phase uses the 2007 eAccess Databas. Then the development of the financial calculation system at Mandiri Midwife Practice Midwife Clinic Hatika Prabumulih has been able to use the Visual Basic Programming Language Application 2010 so that a better and more efficient working mechanism can be carried out.&#x0D; &#x0D; Keywords : Database, Access 2007, Visual Basic 2010, Financial Data, Application.
THE EFFECT OF USING NUMBERED HEADS TOGETHER COOPERATIVE LEARNING MODEL TOWARDS STUDENTS’ READING COMPREHENSION ON RECOUNT TEXT OF GRADE EIGHT AT MADRASAH TSANAWIYAH NURUL FALAH

The purpose of this research were to find out is there any significant effect of the cooperative learning model Numbered Heads Together toward Students’ Reading Comprehension on Recount Text of Grade Eight at Madrasah Tsanawiyah Nurul Falah Airmolek. Based on the research, it was founded that some of the students lack active, concentrated, and motivated in learning English. They had difficulties in comprehending the reading test. They could not get information about the context. Beside that, they lack of item the vocabulary. This is an Experiment research. This research was carried out at Madrasah Tsanawiyah Nurul Falah Airmolek. It was started on April, 17th to May, 24th 2019. The subject of this research was students of grade eight at Madrasah Tsanawiyah Nurul Falah Airmolek. The sample of this research was 71 students which consist of 37 students as the control class in grade eight B and 36 students as the experimental in grade eight C with using a random sampling technique. The test was used in data collection technique. The tests were given to both classes. The research finding revealed that the average score was 65.45 in the control class and 59.27 in the experimental class. After applying the model in the experimental class, the score of the post-test was 72.61. Meanwhile, the score for the control class which was not given the treatment was 67.14. This research was analyzed with using Independent Sample Test (T-test), it was obtained by comparing to (t-obtained) to tt (t-table). From df= 71, it is found that the level of significance of 5% is 2.00 and the level of significant 1% is 2.65. It can be seen that 2.00 2.65. It means that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. It can be concluded that there is a significant effect of using Number Heads Together Cooperative Learning Model towards students’ reading comprehension on recount text of grade eight at Madrasah Tsanawiyah Nurul Falah Airmolek.
?섏씠?쇱꽌?ъ뿉???ㅼ쨷?쒖닠???꾨왂怨??④낵

This study analyzes the case of multiple narration in hyperfiction works. Hyperfiction is narrative text based on a ?쁴nit??and the ?쁥yperlink??that...
Non-linear Correction of Transient Authentication System for Cloud Security

The methodology used for assessing the cloud security of a given cloud infrastructure plays a crucial role in predicting the risk or security threats arises between interplay of the cloud server. The development of transient authentication of cloud infrastructures and its security preservation is well studied and several models are available to numerically draw out close approximation of security risks with that of experimental counterpart. However, drawing such models for dissimilar cloud server on transient authentication for privacy preservation remains a daunting problem owing to higher computational expense required to discover and review the exploratory variable dictating the security audit process. In this research we studied the security risks determination of cloud server corresponding to different streaming data and aspect ratios of a transient authentication cloud infrastructure through the usage of non-linear correction model-based response for security/privacy preservation methodology. The numerical results reported in the study are having outclassed previous technique to curb the same and is supported by experimental output.
Research on the Basic Rodrigues Rotation in the Conversion of Point Clouds Coordinate System

In order to solve the problem of point clouds coordinate conversion of non-directional scanners, this paper proposes a basic Rodrigues rotation method. Specifically, we convert the 6 degree-of-freedom (6-DOF) rotation and translation matrix into the uniaxial rotation matrix, and establish the equation of objective vector conversion based on the basic Rodrigues rotation scheme. We demonstrate the applicability of the new method by using a bar-shaped emboss point clouds as experimental input, the three-axis error and three-term error as validate indicators. The results suggest that the new method does not need linearization and is suitable for optional rotation angle. Meanwhile, the new method achieves the seamless splicing of point clouds. Furthermore, the coordinate conversion scheme proposed in this paper performs superiority by comparing with the iterative closest point (ICP) conversion method. Therefore, the basic Rodrigues rotation method is not only regarded as a suitable tool to achieve the conversion of point clouds, but also provides certain reference and guidance for similar projects.
Imputation methods on daily PM10 data (2010-15)

Air pollution monitoring especially PM10 pollutant is very important since the air pollutant data originated from the continuous ambient air quality stations (CAAQS) usually had missing data due to the machine failure, routine maintenance and human error. In view of this fact, a study of PM10 imputation method was performed with the objective to determine the coefficient of determination (R2) and root mean square error (RMSE) in order to portray the goodness of fit for all of the imputation methods used (mean substitution, nearest neighbour and expectation maximization based algorithm (EMB)). The results of R2 obtained for 5%, 10%, 15%, 25% and 40% proportion of missing data using nearest neighbor imputation methods are 0.9318, 0.8126, 0.6546, 0.5458 and 0.3946, while RMSE are 7.47, 12.27, 16.68, 19.13 and 21.76, respectively. Meanwhile, results of R2 obtained for 5%, 10%, 15%, 25% and 40% proportion of missing data using mean imputation methods are 0.9274, 0.8117, 0.6484, 0.5400 and 0.3910, while RMSE are 7.47, 12.36, 16.90, 19.13 and 22.07, respectively. In the meantime, the results of R2 for EMB imputation method applied at 5%, 10%, 15%, 25% and 40% proportion of missing data are 0.9084, 0.8468, 0.7530, 0.5791 and 0.5004, while RMSE are 8.58, 11.18, 14.20, 18.53 and 20.48, respectively. A measure of performances (R2 and RMSE) for each imputation methods decreased and increase respectively as the percentages of simulated missing data increases
Membangun Karakter Dan Potensi Diri Melalui Cerdas Cermat

Primary School 014662  is a school located in Perk Village. Gunung Melayu, Kec. Rahuning, Kab. Asahan, Prov. North Sumatra. This dedication is done so that students can practice understanding and understanding the importance of language and counting through Quiz Competition. In addition, teachers at this school have not created the program to observe the extent of students' understanding, especially for Mathematics, English, and Integrated Thematic Indonesian subjects in the current 2013 curriculum. The form of this research is Classroom Action Research with descriptive method. Research subjects were 45 students. Based on observations after the data analysis, planning activities to improve language and numeracy skills, by making the process of choosing the appropriate questions to be used as material to explore the potential and talents of students in these 3 subject areas, choosing game materials, determining the learning approach and being assessed student learning outcomes. Exploring the potential and motivating students who do have a lack of interest in the three subjects becomes interested because basically the teacher is in charge of exploring the hidden potential in a student. Keywords: Speak, Count, and Quiz Competition
LibGuides: Reading Scientific Research: Home

Academic research articles have a structure and language that is different from our other reading materials such as textbooks. This lesson can help students new to academic research understand these differences and learn strategies for finding information
ОСОБЕННОСТИ ПРОЕКТИРОВАНИЯ ОБРАЗОВАТЕЛЬНОЙ ПРОГРАММЫ «НАЧАЛЬНОЕ ОБРАЗОВАНИЕ И ДОПОЛНИТЕЛЬНОЕ ОБРАЗОВАНИЕ» В УСЛОВИЯХ РЕАЛИЗАЦИИ ФГОС3++

In this article, the authors describe the experience of the Institute of Psychology and Pedagogy of Altai State Pedagogical University in the development of professional basic educational programs of the training direction 44.03.05 “Pedagogical Education (with two training profiles)” in the context of the requirements of Federal Higher Education Standard 3++. The educational program on two profiles “Primary education and Additional education,” peculiarities of its design and implementation are presented. The characteristics of modules, peculiarities of organization of practices and state certification are described. The article focuses on the peculiarities of the design of the methodological and subject-content module by profiles.
Research on image filtering algorithm used for laser speckle pattern interferometry deformation measurement

Laser speckle pattern interferometry is a kind of high-precision deformation measurement method by analyzing images of speckle patterns. Deformation of measured object can cause phase change of laser light reflected by the object and speckle fringe can be formed. The background noise is large and the phase jump is not clear in the image of speckle fringe. According to the character of the image, a kind of two-step filtering algorithm is used to enhance image quality. First, adaptive filtering algorithm is used to process original speckle fringe image. And then after three-dimensional phase image is formed by phase unwrapping of the speckle fringe phase image, mean smoothing filtering is used to reduce burr in three-dimensional phase image. The experimental results show that this two-step filtering algorithm can keep detail information in the speckle fringe image and get good deformation measurement results.
Usage of Library Resources and Services in Vivekananda Library of Maharshi Dayanand University, Rohtak (Haryana): A Study

This examination explores the utilization of data assets and administrations accessible in the library by the PG students’ understudies and research researchers of Vivekananda Library of Maharshi Dayanand University, Rohtak. For the present investigation, a well-organized poll has been defined and disseminated among the PG students understudies and research researchers of Maharshi Dayanand University, Rohtak, so as to find out the recurrence of visit to the library, recurrence of utilization of printed data assets, utilization of library administrations, recurrence of utilization of electronic data assets, dimension of fulfillment towards usage of library assets and job of library in advancing the utilization of data assets. The result and recommendations of the examination would be helpful to take fitting measures to improve data assets and administrations.
LibGuides: Reading Scientific Research: Learning Module

Academic research articles have a structure and language that is different from our other reading materials such as textbooks. This lesson can help students new to academic research understand these differences and learn strategies for finding information