Reviewerly/exHarmony huggingface dataset:
Upaya Meningkatkan Kemampuan Bahasa Melalui Bermain Peran pada Anak Usia 5-6 Tahun Kelompok B di RA Masyitoh 2 Sine Kabupaten Sragen Tahun Ajaran 2018/2019

This study aims to improve language skills in group B in RA Masyitoh 2 Sine Sragen Regency in 2018/2019 school year through role playing. Subjects in the study were group B students in RA Masyitoh 2 Sine Sragen Regency in the academic year 2018/2019. This type of research is Classroom Action Research (CAR) carried out two cycles, each cycle consisting of 2x meetings. The research procedure of each cycle consists of planning, implementing, observing and reflecting. Data obtained using the method of observation, interviews, documentation, and field notes. Based on the results of the Classroom Action Research that children's language skills have increased according to the indicators of success that have been determined based on the assessment aspects listed on the research instrument. The results of observations about children's development are children's language abilities are still less on average 45.68%, and these children's abilities are still below the specified indicators of success targets. Observation results of the first cycle of an average of 63.24% of children have developed according to expectations (BSH) and have started to show an increase and are in the criteria to be quite increased. The results of observations in the second cycle of an average of 81.55% of children Very Well Developed (BSB) are already in very good criteria based on the indicators of success that have been determined. Conclusion: the success of the research in the second cycle was able to achieve the target as determined in the research that is playing a role able to improve the language skills of children in group B RA Masyitoh 2 Sine Sragen Regency 2018/2019 Academic Year
LibGuides: Academic Areas of Interest: Home

The Harper College Library supports the College’s Academic Areas of Interest with a wide range of resources, study spaces and services--including research consultations and 24/7 online chat.
Using clickstream data and representation learning to understand user interests in order to recommend vacations: Master Thesis at Vakanties.nl

Because of the transfer from brick-and-mortar stores to the web, tourism companies have had an increasing need for good recommendation systems to help the users of their websites find what they want. When developing a recommendation system for tourism, we run into a couple of problems that we would not run into when developing it for e-commerce. One of these problems is the increased effect of the cold start problem. This problem entails that we do not understand what new users are interested in because we have very little information about them. The increased effect of the problem is due to the low number of bookings that are made compared to e-commerce purchases. To reduce the effect of the cold start problem, we can use additional data sources in order to understand the user's interests better. To simplify the use of the additional data source, we explore the possibility of embedding the data or using it in conjunction with an embedding. Vakanties.nl is a company with the need for an improved recommender system. Therefore, we decided to explore these possibilities in cooperation with Vakanties.nl. We develop a recommender system that is able to make recommendations, using both the embedding and clickstream data from Vakanties.nl. We find that although the results of our system do have potential, the system requires some further improvement to compete with a conventional recommendation system.
Fringe projection profilometry for the 3D shape measurement of objects with three-dimensional movements

Phase shifting profilometry (PSP) is considered as an effective method for 3D shape measurement based on fringe projection. However, PSP is not suitable for dynamic measurement, as it requires that the object be kept still. Movement of the object during the cause of projection of multiple fringe patterns may lead to significant error in the measurement of the 3D shape. A number of approaches were proposed to combat this problem consisting of two steps: Capturing of the movement and then compensation (or correction) of fringe patterns. However, such compensation is only valid for the cases where the object moves or rotates in the way that all points on the object surface change by the same amount. In other words, there is still not a method effective for measuring objects moving in a free 3D space. In this paper, a new method is proposed to combat the problem. Firstly, movement of the object is capturing by means of existing methods, yielding rotation matrix and translation vector, able to characterize arbitrary movement in a 3D space. Secondly, variation of the fringe patterns by the movement is analyzed and formulated, leading to the expressions of phase maps. Based on these expressions, a new method is proposed to compensate the variance on height map, with which PSP can be used to yield improved measurement performance. Computer simulations is carried out to verify the effectiveness of the proposed method.
Optimal Design and Experiment of Multi-row Rolling-style Planting-hole Punch for Rapeseed Plant Seedlings

In order to realise high-efficiency hole-forming and pursue optimal forming hole parameters which satisfied agricultural requirements for awl-shaped punch transplanter, a optimally designed indigenously-developed pure rolling planting hole-forming machine's hole forming mechanism parts is proposed. The CAD software graphing method was used to study the effect of forming planting hole by structural parameters, with the numerical simulation method by MATLAB 7.0 software and CATIA software were used to verify the rationality of the hole-forming key parameters optimisation design. Subsequently, prototype trial-production was carried out, followed by field testing. The results showed that forming planting hole opening lengthwise shrank from originally 88.8 mm to 72.6 mm, lateral width was 41.2 mm, the effective depth reduced from 58.9 mm to 48.5 mm, qualified radio of forming planting hole reached to 95.1%, which 1.93% higher than the original prototype, which was significant for the provision of technical support for the design of new transplanter.
지역사회 자원을 활용한 지속가능발전교육 프로그램의 개발과 적용

The purpose of this study was to develop an education for sustainable development(ESD) program using community resources in Paju and to investigate the influences on ESD competencies of 6th graders. The community resources used were Unjeong lake park, environmental circulation center, environmental management center, currency museum, butterfly museum, experience center for peaceful unification, Yulgok arboretum, and Jangsan observatory. The newly developed program was related to creative-experience activity and composed of 15 sessions for 6th-grade class in elementary school, including all of the environmental, economic, and social aspects of ESD. Two classes of the 6th grade were divided into the experimental group and the control group. The results to examine the effects of the program were as follows. First, it was proven that ESD program using community resources did not help improving the perception and function competencies of learners except for the thinking abilities. Second, it contributed to the improvement of learners’ attitude competencies, especially in self-reflective attitude and other-oriented attitude. Also, according to in-depth interview, the students were constantly developing their values for sustainable development, reflecting their thoughts and behaviors in a reflective way and improving their attitude toward life.
Image Processing Techniques to Improve Deep 6DoF Detection in RGB Images

Six degrees of freedom (6DoF) Object Detection has great relevance in computer vision due to its use in applications on several areas, such as augmented reality and robotics. Even with the improved results provided by deep learning techniques, object detection of textured and non-textured objects is still a challenge. The objective of this work was to seek improvements in the six degrees of freedom detection of non-textured objects using a Convolutional Neural Network (CNN) approach through the preprocessing of the images that were used for training the network. A State of the art research was carried out on techniques that use CNN to detect objects in six degrees of freedom. We also searched for filters with enhancement factors for detection. Finally, a detection technique based on a CNN was selected and adapted to use single-channel images (grayscale) as input, instead of using three-channel images (RGB) as in the original proposition, aiming to increase its robustness while reducing the complexity of the input images. The technique was also tested with the application of two different preprocessing filters to enhance the objects’ contours on the single-channel images, one being the ”pencil effect”, and the other based on local binary patterns (LBP). With this study, it was possible to evaluate the impact on the CNN detection performance due to the application of both of the filters. The proposed technique used with one channel images and the filters on the images still could not surpass the results of the technique with the three-channel image (RGB), although it indicated paths for improvement. The pencil filter also proved to be more robust than the LBP filter, as expected.
LibGuides: Circulations / Lending Services: Reserving Library Material

The main purpose of Circulation /Lending services is for issuing and receiving of library books for the library and other services pertinent to the Lending section. A service that makes the circulation of library materials possible, by implementing proced
Addressing practical challenges of Bayesian optimisation

This thesis focuses on addressing several challenges in applying Bayesian optimisation in real world problems. The contributions of this thesis are new Bayesian optimisation algorithms for three practical problems: finding stable solutions, optimising cascaded processes and privacy-aware optimisation.
Sar Image Despeckling with the Multi-Scale Nonlocal Low-Rank Model

Motivated by the idea of low-rank prior, we propose a despeckling method based on multi-scale nonlocal low-rank model. Specially, the proposed low-rank model consists of a data fidelity term derived from the Fisher-Tippett logarithmic-space speckle distribution and a weighted nuclear norm regularization term. Furthermore, we exploit a multi-scale prior by selecting similar patches from different scales of the SAR image. The resulting optimization problem is solved by the alternating direction method of multipliers (ADMM). Experiments conducted on one real SAR image demonstrate that the proposed method can achieve comparable and even better despeckling results than state-of-the-art SAR despeckling methods, both visually and quantitatively.
Using Fully Convolutional Neural Networks to detect manipulated images in videos.

Recent developments in computer vision and machine learning have made it possible to create realistic manipulated videos of human faces, raising the issue of ensuring adequate protection against the malevolent effects unlocked by such capabilities. In this paper we propose local image features that are shared across manipulated regions are the key element for the automatic detection of manipulated face images. We also design a lightweight architecture with the correct structural biases for extracting such features and derive a multitask training scheme that consistently outperforms image class supervision alone. The trained networks achieve state-of-the-art results in the FaceForensics++ dataset using significantly reduced number of parameters and are shown to work well in detecting fully generated face images.
Fuzzy Logic-Based Approach to Electronic Circuit Analysis

Electronic circuit analysis is an important research field. One of the key application fields is communication. An important problem in the field of the communication is related to the use of chaotic signals under uncertainty. In this paper we consider a fuzzy logic-based approach for analysis of chaotic electronic circuit. Fuzzy differential equations are used to model chaotic dynamics of an electronic circuit under uncertainty.
KEGIATAN SELEKSI BAHAN PUSTAKA DALAM PENGEMBANGAN KOLEKSI PADA PERPUSTAKAAN PERGURUAN TINGGI

This paper aims to find out how library material selection activities in the development of collections in the university library are high. The library as an information provider unit always develops collections to meet the information needs of its users. As the development of science and information technology has an impact on the development of library collections with more complex information content which is a consideration in the development of library collections, the more challenging challenges of library selection as an effort to build a library collection that is strong and right on target for the user community. The method used in this study is descriptive in the form of literature review by taking secondary data obtained from several literature or literature studies (Research libraries) that are relevant in accordance with the problems discussed by reviewing and analyzing then described descriptively. The results of the discussion of this article are to show that library material selection is included as one of the important factors needed in the development of authority in library material selection at the college library. The provisions regarding the selection are regulated according to the type and structure of the library organization in question and are guided by the collection development policies and work procedures that have been set. With the selection of activities this helps the selector in choosing materials that will be used as library collections and becomes one of the activities that greatly determines the quantity and quality in developing collections in the library. Through this selection, it is expected that the collection of quality and relevant collections can be achieved according to the needs of the users. So if library material selection does not refer to the collection policy guidelines and work procedures that have been set, the quality in the development of collections in the library is not in accordance with user needs. collection. The activities carried out are processes, principles, tools, criteria, and parties
Prohibited act involving human biological material

Section 20AB of the Criminal Law Consolidation Act 1935 (SA) outlines this offence. If a person intentionally causes human biological material to come into contact with the victim
Error Analysis On Some Fricative Consonant Performed By Fifth Semester Students With Sundanese Background (A Case Study At The English Education Department UIN Sultan Maulana Hasanudin Banten Academic Year 2018/2019)

Maulidia Zadittaqwa. 152301776. 2018. Error Analysis On Some Fricative Consonant Performed By Fifth Semester Students With Sundanese Background (A Case Study At The English Education Department UIN Sultan Maulana Hasanudin Banten Academic Year 2018/2019) This research aims to find out the common mistakes commonly found in Sundanese students in the English Education Department in the 2018/2019 academic year in attending the pronunciation course, in pronouncing a fricative sounds. The reseacher focuses on the fifth smester students who has Sundanese cultural background to know their accuracy in pronouncing some fricative’s words. The data was collected by giving 18 word tests to 15 participants, the reseacher uses qualitative method on writing her paper. The researcher also analyzes the collected data through descriptive analysis technique in order to reach the objective of the research. The reseacher involves herself to collect data by observing the participants, recording their pronunciation and analyzing the error on their pronunciation based on theories of characteristics of fricative consonants sound which are taken from some relevant references. On the conclusion, the reseacher finds that Sundanese students of English Education Department of UIN SMH Banten are made some error on their pronunciation. Error of omission and error of addition are found on the vowels and consonant sound except the fricatives sound. While error of selection, is occurred both on the fricatives sound and the rest of sound. The reseacher also finds that overgeneralization is one of the reasons why the Sundanese student made errors on their pronunciation. Key words: error analysis, Sundanese, pronunciation, fricatives sound
Ill communication: effective team handovers

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AN ANALYSIS OF ENGLISH DEPARTMENT STUDENTS' ABILITY IN WRITING ARGUMENTATIVE ESSAY

The purpose of this research is to describe the English Department students' ability in writing an argumentative essay. The research is designed as a descriptive quantitative method. The population of the research is the fourth semester students of English Department at Universitas Bengkulu in academic year 2018/2019. This research used random sampling technique in deciding the sample. The samples were 26 students. The students were asked to write an argumentative essay within 100 minutes. The students writings were analyzed by using assessment rubrics adapted from Schwalm (2007) and Jacobs et.al (1981) which consists of introduction, body paragraph, conclusion, language use, and mechanics. The result shows that students ability in writing argumentative essay is fair. From the final scores it could be seen that there was one student (3.8%) got very good grade, then 11 students (42.3%) got good grade, the most of the students or 12 students (46.2%) got fair grade, the rest of them or 2 students (7.7%) got poor grade. Keywords: analysis, writing, argumentative essay
LibGuides: JSTOR for climate change research: JSTOR Daily

This guide highlights JSTOR's open access content related to climate change, and the tools available to enhance your research.
A Parallel Algorithm for Anonymizing Large-Scale Trajectory Data

With the proliferation of location-based services enabled by a large number of mobile devices and applications, the quantity of location data, such as trajectories collected by service providers, is gigantic. If these datasets could be published, then they would be valuable assets to various service providers to explore business opportunities, to study commuter behavior for better transport management, which in turn benefits the general public for day-to-day commuting. However, there are two major concerns that considerably limit the availability and the usage of these trajectory datasets. The first is the threat to individual privacy, as users’ trajectories may be misused to discover sensitive information, such as home locations, their children’s school locations, or social information like habits or relationships. The other concern is the ability to analyze the exabytes of location data in a timely manner. Although there have been trajectory anonymization approaches proposed in the past to mitigate privacy concerns. None of these prior works address the scalability issue, since it is a newly occurring problem brought by the significantly increasing adoption of location-based services. In this article, we conquer these two challenges by designing a novel parallel trajectory anonymization algorithm that achieves scalability, strong privacy protection, and high utility rate of the anonymized trajectory datasets. We have conducted extensive experiments using MapReduce and Spark on real maps with different topologies, and our results prove both effectiveness and efficiency when compared with the centralized approaches.
Evaluasi Sistem Drainase Di Flyover Manahan Surakarta

Problems of inundated water or flooding often occur on Indonesian roads, including roads under the Manahan flyover. When it rains sometimes the road is inundated by water so that it can disturb road users who pass through the road and damage the structure of the road. Inundation that occurs is caused by a drainage system that is not optimum, causing water to run over into the road. So, to find out how the drainage system performance is carried out a hydrological analysis to calculate the plan discharge with a return period of 25 years in accordance with the total area of drainage canal and the city topology and then compared with the existing drainage channel discharge. The results of the planned discharge ratio of 10.857 m3/sec and the existing discharge of 9.058 m3/sec indicate that the existing drainage channel cannot accommodate the design discharge, so it is necessary to re-plan the dimensions of the drainage channel. The cross section of the channel used is in the form of a trapezoid using material on the channel wall in the form of a split rock. The maximum discharge results are used as a reference for planning drainage channel dimensions, so that the width of the upper channel (B) = 2.99 m, the bottom width (b) = 1.65m, and the height of the channel (h) = 1.34 m
Using gallery Walk Technique In Teaching Students’ Writing Announcement Text. (A True-Experimental Study of Tenth Grade Students at SMKN 3 Serang City in The Academic Year of 2018/2019)

Shoky Yulya Ananda. 152301768. 2019. Using gallery Walk Technique In Teaching Students’ Writing Announcement Text. (A True-Experimental Study of Tenth Grade Students at SMKN 3 Serang City in The Academic Year of 2018/2019)This study is aimed to find out whether the learners who are taught by of using Gallery Walk technique can effect to the students ability in writing announcement text than learners who are taught by using lecture method at SMKN 3 Serang City in The Academic Year of 2018/2019. In this study, researcher uses quantitative research methods, which conducted the experiment and control class. The instrument uses in this research is test (pre-test and post-test). This research involves 68 students as sample among tenth grade of SMKN Serang City year 2018/2019 as population. Based on result of calculation, the writer obtained the mean of experiment group is 79.5 and the mean of control group is 78.9 with the value oft is 0.25 and degree of freedom (df) is 66. Moreover, the value oft on degree of significance of 5% is 1.67. Furthermore, after obtaining data from t-test, the writer comparedt witht with degree of significance of 5% the result showed that t-test is smaller than t-table ort<t = 0.25 < 1.67. It means thatH (alternative hypothesis) is rejected andH (null hypothesis) is accepted. In other words, the result of this research showed that there is no effect between group using Gallery Walk Technique and group not using Gallery Walk Technique in the ability writing Announcemnet Text.Key Words : announcement text, gallery walk technique, teaching writing, writing skill.