Reviewerly/exHarmony huggingface dataset:
Peramalan Kedatangan Wisatawan Manca Negara Melalui Bandara Husein Sastra Negara Bandung Dengan Menggunakan Metode Arima (Autoregressive Integreted Moving Average)

Data processing and analysis of foreign tourist arrivals in Bandung through Husein Sastra Bandung Airport is very necessary in an effort to take a decision related to tourism planning in Bandung in particular and national tourism generally, be it planning related to the Airport itself and tourism planning In Bandung Raya. The purpose of this study is to determine the mathematical model or good statistical relationship between the predicted variables (the arrival of foreign tourists through the International Airport Husein Sastra Negara Bandung) with the historical value of these variables using the method of forecasting ARIMA (Autoregressive Integrated Moving Average), so that forecasting can Done with the model. ARIMA is often also called the Box-Jenkins time series method. ARIMA is very good for short-term forecasting, while for long-term forecasting the accuracy of forecasting is not good. Usually will tend to flat (flat / constant) for a long period. The results showed that, to know the accuracy of forecasting model in predicting the data, it can be seen the size of precision of forecasting model in table Fit Model, such as: MAPE, MAE, and others. From the results of fit model testing, it can be seen that the value of MAPE of 21.105% and MAE of 2467.875. This shows that the average accuracy rate of the model in predicting the number of foreign tourist arrivals through Husein Sastra Negara Bandung is 78.895%. To know the value of prediction (prediction) in some period to come, can be seen in table Forecast. While to know the fluctuation of data, either that has happened or will be foreseen. From the forecast table can be known the value of the forecast of tourist arrivals. From the table can also be calculated the estimated maximum error value in forecasting, for example for forecasting in June-December 2017, with 95% confidence level, it is estimated that foreign tourist arrivals will not deviate more than 21.105%.
SISTEM PENGINGAT PADA GUDANG PT. ALFA BEAUTY COSMETICA MENGGUNAKAN SMS GATEWAY

The development of technology is very important for humans, especially in the field of storage of goods that become a useful and important thing in the world of warehousing. In this study the authors take a case study at PT. Alfa Beauty Cosmetica who still uses warehouse reports manually. This study aims to facilitate the work of employees of PT. Alfa Beauty Cosmetica. Employees can store in-app items consisting of goods unique code, item name, recording location of goods and recording transactions of goods. Message reminder simulation is if stock will run out using web based Gateway SMS. With stock reminder messages, employees are quicker at updating inventory. This application is expected to accelerate employee work.
User-based collaborative filtering algorithm fusing the local and global nearest neighbour

Collaborative filtering method is one of the most successfully used recommendation algorithm. It can be divided into the global nearest neighbour based method and the local nearest neighbour based method. The global neatest neighbour based method has high stability but the recommended results are not sufficiently personalised. The local nearest neighbour based method is more accurate and personalised than the global neatest neighbour based method, but the prediction failure rate is high and it's not stable. Aiming at these problems, a new user-based collaborative filtering algorithm fusing the local and global nearest neighbour is proposed. Firstly, the max-min K-medoids clustering algorithm is applied for clustering items into several clusters. The local similarity of users is calculated in each item cluster. Secondly, the factor of correlation-weighted is introduced to improve the accuracy of the global similarity among users. Finally, this new similarity among users is presented to optimise the selection of neighbours of target user. This new method increases the recommendation precision while avoiding the shortcoming of instability. The experimental results on EachMovie and MovieLens-100K show that the prediction reliability and accuracy of this new method are better than traditional ones.
Some complementary perspectives in understanding the axiological universe of teachers

&#x0D; &#x0D; &#x0D; The values in which teachers believe express the philosophy of education to which they adhere. Our study is based on two related dimensions: the study of the specialised literature and the conclusions of some studies that we have conducted in the last 5 years regarding the values in which the teachers at different stages of the Romanian education system believe. Its purpose: to identify significant perspectives for the complementary analysis of the teacherâ€™s axiological universe. We identified, developed and systematised the following perspectives: contemporary world and the dimension of values; initial and continuous teacher training and the issue of values; on axiological self-reflexivity and its effects and the transfer of values and the holistic evolution of the teacher. The conclusions reinforce the teacherâ€™s hypostasis as reflexive practitioner with profound implications, both on the day-to-day performance of the instructive-educational process and on the reconsideration of the coordinates of their initial/continuing training.&#x0D; Keywords: Values, teacherâ€™s axiological universe, reflexive practitioner.&#x0D; &#x0D; &#x0D;
Simulation of Logic Circuit Tests on Android-Based Mobile Devices

In this study, an application that can run on Android and Windows-based mobile devices was developed to allow students attending such classes as Numerical/Digital Electronics, Logic Circuits, Basic Electronics Measurement, and Electronic Systems in Turkeyâ€™s Vocation and Technical Education Schools to easily carry out the simulation of logic gates, as well as logic circuit tests performed using logic gates. A 2D-mobile application that runs on both platforms was developed using the C# language on the Unity3D editor. To assess the usability of the mobile application, a one-hour training session was administered in March of the 2017-2018 academic year to two groups of students from a single class in the sixth grade of an Imam Hatip Secondary School affiliated with the Ministry of National Education. Each of the two groups contained 12 students who were assumed to be equivalent and who had no prior knowledge of the subject. The training of the first group began with a lecture on basic logic gates using a blackboard and involved no simulations. In comparison, the second group was given the same lecture and received additional training involving demonstrations of the developed mobile application and its simulations. Following the lectures, a written exam was applied to both groups. An evaluation of the exam results revealed that 83 percent of the students who had been given demonstrations of the mobile application were able to perform the circuit task completely, whereas only 50 percent of the others were able to complete the task. It was concluded that the application was both useful and facilitating for the students, and it was also noted that students who were supported by the mobile application had gained a better grasp of the topic by being able to see and practice the simulations firsthand.
InfoGuides: Library Reserves & Course Material Support for Faculty Guide: Library Reserves Policies & FAQs

This guide for Pepperdine faculty provides important information and highlights available support resources for the transition to electronic-only course reserves.
PREVALENCE OF MALARIA USING TWO RAPID DIAGNOSTIC TEST KIT IN THE DIAGNOSIS OF MALARIA IN GOMBE STATE, NIGERIA.

This study aims at evaluating the comparative diagnostic efficiencies of two commercially available kits in relation to microscopy in detecting Plasmodium falciparum HRP-2, a polyhistidine antigen in urine and blood of febrile patients for malaria diagnosis along with blood based RDTs. This was an observational study in which matched blood and urine from symptomatic patients were tested for malaria using two rapid tests, with microscopy as gold standard in the outpatient clinic of Federal Teaching Hospital Gombe, Gombe state North Eastern Nigeria were enrolled who presented with fever (≥37.5°C). Thick films were prepared, stained and examined for malaria parasite under the microscope using the oil immersion objective while urine samples as well as blood were taken and immediately tested using RDTs. &#x0D; With the blood smear microscopy as standard, the disease prevalence was 68.4% and sensitivity for the UMT and SD Bio line (Blood RDT) was 70.1% respectively. The RDT had a specificity of 96.3% as well as the positive and negative predictive values were 97.6% and 59.7% respectively. The rapid diagnostic kits showed moderate level of sensitivity compared with blood smear microscopy as they show considerable acceptable levels in the diagnosis of malaria.
Linear feedback shift registers and the minimal realization problem

The Berlekamp–Massey algorithm solves the problem of finding the shortest linear feedback shift register which generates a given finite sequence of scalars. This problem is reinterpreted from the point of view of the realization theory and several extensions to sequences of matrices are analyzed. We give a generalization of the result on which the Berlekamp–Massey algorithm is based in terms of the partial Brunovsky indices of a sequence of matrices and propose an algorithm to obtain them for sequences of vectors. The results we obtain hold for arbitrary fields.
Exploring the development of community-centered experiential learning programs and their applicability to improve community adaptation skills of children with intellectual disabilities

This study developed a community-oriented experience learning program to improve community adaptation skills for children with intellectual disabilities. To develop the program, we conducted a survey of 50 special education teachers to analyze their needs and conditions. Through analyzing related research literature and curriculum, we organized community-oriented integrated education courses. Based on this, set up teaching and learning steps, to implement community experience learning and future-oriented social study. In addition, by developing teaching and learning materials that combine the five elements of storytelling (S), mixing reality (M), application (A), RobotCoding (R), and peer-to-peer learning (T) for each stage of teaching, the program developed pre-experience activities, field activities and post-experience activities centered on the local community. In order to explore the applicability of this community-oriented experience learning program, five special teachers in elementary schools and their six students in special classes of the teachers who participated in the assessment were evaluated. The program’s response test results showed 4.55 points for special teachers and 4.57 points for students with intellectual disabilities. For the purpose of improving community adaptation skills for children with intellectual disabilities, the study found that the experience learning program which was developed by this study is highly likely to be applied to the field of special education.
Interaction Design and Use Innovation for Interactive Products

Product use innovation is a means to facilitate the design-driven innovation approach. We explore how the mode-of-use concept may apply to state-of-the-art product interactions to enhance user expe...
X-ray tomography based finite element modelling of non-crIMP fabric based fibre composite

The current study presents a workflow to import a fibre bundle structure of a non-crimp fabric based fibre composite obtained by X-ray CT to a solvable 3D model in the finite element software ABAQUS. The considered fibre composite is similar to that used for the load carrying parts of wind turbine blades, and each layer of the non-crimp fabric contains fibre bundles oriented in the 0◦, 90◦, and ±45◦ directions. The 3D fibre bundle geometry is first segmented in the software AVIZO and then imported to Geomagic Wrap where the geometry is smoothened and converted into a nurbs surface that can be imported into ABAQUS. The resulting stress distribution is qualitatively compared to previous experimental observations and discussed.
Three-dimensional Dynamic Tracking Learning Algorithm for Pedestrians on Indefinite Shape Base Based on Deep Learning

In order to improve the three-dimensional dynamic tracking and recognition ability to pedestrians, a three-dimensional dynamic tracking learning algorithm for pedestrians on indefinite shape base based on deep learning is proposed in this paper. First, the indefinite shape base mesh of body imaging is segmented to extract three-dimensional dynamic similarity features of pedestrians, and the three-dimensional feature points are marked; the deep learning method is adopted for fusion of gray pixel value and extraction of difference feature to images during three-dimensional dynamic tracking. Then a motion vector library is constructed based on the extraction results, and the template matching equation of three-dimensional dynamic feature points of pedestrians is obtained. The simulation results show that this method can accurately track moving bodies in three-dimensional dynamic tracking and recognition and can provide good robustness in moving body target extraction with accuracy up to 100% at maximum and detection time of 48.83ms at maximum.
AN EFFICIENT CLUSTERING APPROACH FOR FAIR SEMANTIC WEB CONTENT RETRIEVAL VIA TRI-LEVEL ONTOLOGY CONSTRUCTION MODEL WITH HYBRID DRAGONFLY ALGORITHM

Web pages are heterogeneous and complex and there exists complicated associations within one web pages and linking to the others. The high interactions between terms in pages demonstrate vague and ambiguous meanings. Efficient and effective clustering methods are needed to discover latent and coherent meanings in context are necessary. This paper proposes an efficient clustering approach for fair semantic web content retrieval based on tri-level ontology construction model with hybrid dragonfly algorithm. Initially the query processing phase, by making use of systematic adaptive hierarchy method (SAHM) efficient ontology selection process is carried out by means of matching keywords retrieved form user query. Secondly, fuzzy sensitive near-neighbour influence (FSNI) based clustering approach relied on the ontology driven fuzzy linguistic measure, applied to estimate the uncertainty that may be relevant to the semantic content which belongs to the user quires. The proposed FSNI clustering approach with HDA algorithm performance is be evaluated and compared with existing clustering approaches in terms of retrieval accuracy and surfing time.
An investigation into Scottish teenagers’ information literacy and search skills

Introduction. This paper presents the results of a study investigating the information literacy and search skills of young people in Scotland. Method. The participants, secondary school pupils between the ages of 13 and 14 (n=57), completed two out of four different search tasks from the TREC HARD collection, for which the correct answers (i.e. relevant documents) were known. Their interactions with the search system were logged and information about their own perceptions of the task were collected through pre- and post-task questionnaires. Analysis. The log data from the search system was analysed using the R statistical software package to understand the performance and behaviour of the participants when conducting the search tasks. Findings. While we identified some evidence that information literacy and search skills were being employed, overall performance was low with participants often unable to produce successful queries and/or unable to identify relevant documents, even when some were present in the results. Despite assessing their own performance as being good, the pupils struggled to formulate good quality queries to assess documents for relevance, frequently selecting non-relevant sources. Conclusion. Search performance and ability to identify relevant information was generally poor, a fact that participants themselves were frequently unable to recognise. The results also suggest a reliance on complex search assistance tools (such as spell checking and query suggestions), which are common features of major search engines, but not of smaller systems, which pupils are also likely to have to use. Despite the pupils having been giving some information literacy training in the previous year, the results suggest that more needs to be done to help school pupils in searching for and assessing relevant source documents.
Generating Term Weighting Schemes Through Genetic Programming

Term-Weighting Scheme (TWS) is an important step in text classification. It determines how documents are represented in Vector Space Model (VSM). Even though state-of-the-art TWSs exhibit good behaviors, a large number of new works propose new approaches and new TWSs that improve performances. Furthermore, it is still difficult to tell which TWS is well suited for a specific problem. In this paper, we are interested in automatically generating new TWSs with the help of evolutionary algorithms and especially genetic programming (GP). GP evolves and combines different statistical information and generates a new TWS based on the performance of the learning method. We experience the generated TWSs on three well-known benchmarks. Our study shows that even early generated formulas are quite competitive with the state-of-the-art TWSs and even in some cases outperform them.
An Improved Bound for Security in an Identity Disclosure Problem

Identity disclosure of an individual from a released data is a matter of concern especially if it belongs to a category with low frequency in the data-set. Nayak et al. (2016) discussed this problem vividly in a census report and suggested a method of obfuscation, which would ensure that the probability of correctly identifying a unit from released data, would not exceed &amp;xi; for some1 3&amp;lt; &amp;xi; &amp;lt; 1. However, we observe that for the above method the level of security could be extended under certain conditions. In this paper, we discuss some conditions under which one can achieve a security for any 0 &amp;lt; &amp;xi; &amp;lt; 1.
GAMBARAN RESILIENSI PADA MANTAN PENGGUNA METHAMPHETAMINE HYDROHLORIDE PASCA MENJALANI REHABILITASI

Methamphetamine hydrochloride is known as methamphetamine or sabu which is a synthetic addictive substance that can be easily found in society. Individuals suffer from methamphetamine addiction require to go through rehabilitation to recover and stop the risk of substance tolerance. After rehabilitation, individuals need to have an ability to maintain the recovery process and avoid relapse. This study aimed to explore resilience ability former and in-depth interview technique. Data were gathered from three informants who were former methamphetamine users and had gone through rehabilitation. The result showed an internal condition called resilience and an external condition supporting the resilience ability of informants in order not to relapse. The internal conditions found in this study were attitude towards challenges, self-endurance and positive self-concept. Attitude towards challenges includes avoiding methamphetamine usage, resisting the urge to use methamphetamines, avoiding relationships with other drugs users, realizing their sense of worth, and being aware of their responsibilities and social life. Self-endurance is shown in the form of altering mindset to be more rational, believing in the Almighty God and conducting positive activities. Positive self-concept includes recognizing their strengths, positive emotions, positive mindset, and positive behaviour. In addition to internal conditions, this study also found external condition that supports resilience, which is positive relationship with people that they love and care.
Raw Score Conversion Tables

The basic score on any test is the raw score, which is simply the number of questions a student answered correctly. You can interpret a raw score only in terms of a particular set of test questions. A scale score is a conversion of the raw score onto a scale that is common to all test forms for that assessment. Scal
Multipart Content-Format for CoAP

This memo defines application/multipart-core, an application-independent media-type that can be used to combine representations ofzero or more different media types into a single message, such as aCoAP request or response body, with minimal framing overhead, eachalong with a CoAP Content-Format identifier.
PENERAPAN GREEN COMPUTING PADA KUISIONER INSTRUMEN PENILAIAN KINERJA DOSEN DI POLITEKNIK NEGERI SUBANG

The lecturer's performance assessment by students in the form of an online Lecturer Performance Assessment Instrument Questionnaire (KIPKD) is in line with the work concepts of Green Computing by utilizing computer hardware and software better, more efficiently and more useful. KIPKD online POLSUB uses Google Forms, because it has an attractive and responsive look, provides a fairly complete choice of stuffing model, free, the results are neatly arranged and can be analyzed easily. This research method uses literature review in the form of books, journals that discuss about topics related to the use of Google Forms as a medium in the manufacture of questionnaires for surveys and data collection, as well as related to the concept of Green Computing. While data collection methods used in field research by way of observation of the system running in the academic POLSUB. The use of KIPKD online illustrates that POLSUB participates in preserving the environment, with no 12 paper/year rims, equivalent to 12 tree trunks.
Efficient Unitarity Randomized Benchmarking of Few-qubit Clifford Gates

Unitarity randomized benchmarking (URB) is an experimental procedure for estimating the coherence of implemented quantum gates independently of state preparation and measurement errors. These estimates of the coherence are measured by the unitarity. A central problem in this experiment is relating the number of data points to rigorous confidence intervals. In this work we provide a bound on the required number of data points for Clifford URB as a function of confidence and experimental parameters. This bound has favorable scaling in the regime of near-unitary noise and is asymptotically independent of the length of the gate sequences used. We also show that, in contrast to standard randomized benchmarking, a nontrivial number of data points is always required to overcome the randomness introduced by state preparation and measurement errors even in the limit of perfect gates. Our bound is sufficiently sharp to benchmark small-dimensional systems in realistic parameter regimes using a modest number of data points. For example, we show that the unitarity of single-qubit Clifford gates can be rigorously estimated using few hundred data points under the assumption of gate-independent noise. This is a reduction of orders of magnitude compared to previously known bounds.
Fast k-Nearest Neighbor on a Navigation Mesh

We consider the k-Nearest Neighbour problem in a two-dimensional Euclidean plane with obstacles (OkNN). Existing and state of the art algorithms for OkNN are based on incremental visibility graphs and as such suffer from a well known disadvantage: costly and online visibility checking with quadratic worst-case running times. In this work we develop a new OkNN algorithm which avoids these disadvantages by representing the traversable space as a collection of convex polygons; i.e. a Navigation Mesh. We then adapt an recent and optimal navigation mesh algorithm, Polyanya, from the single-source single-target setting to the the multi-target case. We also give two new heuristics for OkNN. In a range of empirical comparisons we show that our approach can be orders of magnitude faster than competing methods that rely on visibility graphs.