Reviewerly/exHarmony huggingface dataset:
Meningkatkan Kemampuan Membaca Report Text Melalui Game Pada Siswa Kelas IX C MtsN 1 Bengkalis Tahun Ajaran 2018/2019

Abstract The study aims to find out the students ability in reading report texts by using games (kokora and puzzle) of the ninth grade students class C at MTsN 1 Bengkalis in the academic year 2018/2019. The research was conducted of the ninth grade students class C at MTsN 1 Bengkalis. There were 36 students. This research is classroom action research through for phases; planning, implementation, observation, and reflection. Learning strategy used games (kokora and puzzle). In data collection technique used observation and test. After the implementation of the games (kokora and puzzle), the improvement can be seen from the average value of the class has risen from the result of the first cycle class average rose to 77,88 and the second cycle increased to 89,13. In the first cycle the percentage of the overall completeness of students increased to 69,4% or 25 out of 36 students, then on the second cycle increased to 91,6% or 33 out of 36 students. Based on these descriptions, it can be concluded that an increase learning achievement of students in reading report text begin cycle I and cycle II. Then the use strategy games (kokora and puzzle) can improve learning outcome in reading report text of the ninth grade students class IX C at MTsN 1 Bengkalis.
The Influence of Think Talk Write Model Implementation in Learning Theme Always Saving Energy

The research to determine the implementation of TTW model that has an impact in improving the quality of learning theme always save energy.This research is a quasi-experimental study with a population of fourth grade primary school students in the Sultan Agung Cluster and the research sample uses purposive sampling technique.Analysis of the data obtained using the t-test sig (2-tailed) is smaller than = 0.05 (0.000<0.05) so, Ha= accepted and Ho= rejected.The result of the research concluded that the application of the TTW model has an effect in improve the quality of learning theme always save energy based on the acquisition of pretest and posttest scores from the experimental and control classes.Improved the quality of learning getting score 0.450 in the experimental class with medium interpretation and 0.253 in the control class with low interpretation.
The Major Case Analyses and Activating Measures of Smart Policing

스마트 경찰활동 계획(SPI)의 원리를 반영한 경찰기관들은 전략적이고, 과학에 기반하고, 데이터ㆍ정보ㆍ기술에 매우 의존한다. 스마트 경찰활동에 의해서 특정 범죄의 원인들이 명확하게 증명된다면, 경찰은 효과적인 개입을 위해서 스마트 경찰활동에 대한 연구 결과들을 활용할 수 있게 될 것이다. 이 연구의 목적은 2009년에 미국 법무부 사법지원국(BJA)의 지원을 받아서 공식적으로 실시된 스마트 경찰활동의 개념, 원리, 주요 사례들을 소개하고, 한국의 스마트 경찰활동을 활성화할 수 있는 방안들을 제시하는 것이다. 스마트 경찰활동의 주요 요소는 성과 측정 및 연구 파트너십, 협력, 조직 변화의 관리, 전략적 실행대상 설정, 정보와 다른 데이터 및 정보 체계를 더 잘 이해하기 등이다. 특히 스마트 경찰활동은 지역적이고, 과학 및 연구의 역할에 중점을 두고, 다차원적이고, 결과 지향적이고, 혁신을 위해서 노력한다. 이 연구는 Arizona주 Glendale 경찰서 사례, Los Angeles 경찰국의 Newton Division 사례, Texas주 Frisco 경찰서 사례들을 분석한 결과, 한국의 스마트 경찰활동을 활성화하기 위해서 경찰청은 체계적으로 연구하고, 그 연구 결과물들을 축적하고, 정보분석 시스템을 구축ㆍ활용하고, 지방 경찰청-지역대학 간에 파트너십을 구축하고, POP 관련 교육 프로그램을 개발할 필요가 있다.Police agencies that reflect the spirit of the Smart Policing Initiatives are strategic, based on science and highly dependent on data, intelligence and technology. If the causes of specific crimes are clearly analyzed by smart police practices, the police will be able to use the findings for effective intervention. The purpose of this study is to introduce the concepts, principles and major cases of the smart police practices formally supported by U.S. Bureau of Justice Assistance(BJA) in 2009, and to suggest the measures for activating smart policing practices in South Korea. The main elements of smart police practice are performance measurement and research partnership, outreach and collaboration, management of organizational change, strategic targeting, better use of intelligence and other data and information systems. In particular, smart police practices are local, focused on the role of science and research, multidimensional, result-oriented and striving for innovation. This study analyzed Glendale Police Case in Arizona, Newton Division Case in Los Angeles Police Department, Frisco Police Case in Texas and suggested that police agency should execute systematic research, accumulate the research findings, establish partnerships between local police agencies and local universities, and develop POP related education program for activating smart policing in South Korea.
P1‐449: AUTOMATIC TRANSCRIPTION OF VERBAL FLUENCY RECORDINGS

Novel scoring methods for verbal fluency word lists, such as clustering and switching, are valuable for risk stratification in dementia. However, manual transcription of these recordings is costly and state-of-the-art automatic methods do not produce sufficiently accurate transcriptions for scientific study. Approximately 150,000 verbal fluency recordings are available through the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. We focus here on a subset of 1,202 animal fluency recordings, half from individuals who subsequently suffered from incident cognitive impairment. All recordings were automatically transcribed by Amazon Web Services (AWS). A separate program identified intervals of voice activity within each recording and AWS transcriptions were augmented to include untranscribed intervals of voicing. Two hundred AWS files were manually corrected using a custom Matlab tool that tracks onset and offset of spoken material. Differences between original and corrected transcriptions were quantified, including common transcriptions errors. Automatic correction of one problematic word (“giraffe”) was piloted. Out of 1,202 AWS transcriptions, 1,288 intervals of untranscribed voice activity were identified (1.07 missed items per file). Manual correction of 200 files resulted in 1,119 changes. The most frequently unrecognized animal words were “giraffe,” “dog,” “cat,”, “lion,” and “cow.” The most common erroneously transcribed animal words were “deer,” “doe,” “bee,” “ewe,” and “owl.” Automatic correction of “giraffe” mistranscriptions was undertaken with sensitivity 0.871 and specificity 0.977. At a threshold yielding perfect specificity, the sensitivity was 0.419, indicating that approximately 2 in 5 incorrect transcriptions of “giraffe” could be automatically corrected without adding errors to the transcriptions. Analysis of errors made by a state-of-the-art automatic transcription service will provide a means of automatic correction that will, at the very least, accelerate manual correction of the transcriptions. Future work will incorporate a language model comprising transition probabilities for target words.
LibGuides: Online Streaming Video: How to Request a Kanopy Video

Online streaming video available via the CSU Stanislaus Library. Instructions on how CSU Stanislaus instructors can request a Kanopy video
토의 . 토론 기법을 활용한 해양환경교육 프로그램이 초등학생의 환경소양 및 비판적 사고력에 미치는 영향

In this study, we developed a marine environmental education program using discussing and debating techniques. We applied the program to 29 students in fourth graders of elementary school to find out the impact on environmental literacy and critical thinking ability. The contents of the program contain marine and marine ecosystems, pollution of the marine environment(microplastics, nuclear power plant accident, oil spilled disaster, etc.) endangered marine life, development and protection, harmony between human and marine environment. We designed the class using appropriate discussing and debating techniques for each subject. The results of the study were as follows: First, marine environmental education programs using discussing and debating techniques were effective in improving the environmental literacy of elementary school students. Significant improvements were made in the affective, cognitive, and behavioral areas of environmental literacy after applying the program to classes. Second, marine environmental education programs using discussing and debating techniques were effective in enhancing critical thinking functions of elementary school students. Third, marine environmental education programs using discussing and debating techniques have a positive effect on the critical thinking tendencies of elementary school students. As shown above, marine environmental education programs using discussing and debating techniques have had positive effects on the environmental literacy of elementary school students and their critical thinking skills.
Data De-Duplication Using Smart-Cuckoo

Deduplication is one of space saving techniques used in backup storage systems. However the challenges posed by hash based deduplication systems such as metadata management still remains open. This paper proposes a solution to reduce the fingerprint insertion and lookup operations involved in metadata management. An effective hashing technique namely Smart cuckoo is incorporated into the proposed deduplication. Experiments performed using the proposed technique shows considerable improvements in factors such as backup speed and overall time taken for deduplication.
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction

Ionizing-radiation-resistant bacteria (IRRB) could be used for bioremediation of radioactive wastes and in the therapeutic industry. Limited computational works are available for the prediction of bacterial ionizing radiation resistance (IRR). In this work, we present ABClass, an in silico approach that predicts if an unknown bacterium belongs to IRRB or ionizing-radiation-sensitive bacteria (IRSB). This approach is based on a multiple instance learning (MIL) formulation of the IRR prediction problem. It takes into account the relation between semantically related instances across bags. In ABClass, a preprocessing step is performed in order to extract substructures/motifs from each set of related sequences. These motifs are then used as attributes to construct a vector representation for each set of sequences. In order to compute partial prediction results, a discriminative classifier is applied to each sequence of the unknown bag and its correspondent related sequences in the learning dataset. Finally, an aggregation method is applied to generate the final result. The algorithm provides good overall accuracy rates. ABClass can be downloaded at the following link: http://homepages.loria.fr/SAridhi/software/MIL/.
Gestão de estoques de informação em bibliotecas públicas

It addresses views and concepts on collection development policy and the principles of collections, and highlights and explores new trends that contribute to the advancement and balanced growth of the collection in a public library. It has the objective of evidencing the management of collections in a public library, listing its processes and the relevance of the policy of formation and development of collections. It was structured based on a bibliographic and exploratory research and a qualitative design. It concludes that for a collection to be fully developed, a periodic evaluation is necessary and for this, it is necessary to elaborate a Collection Development Policy. It is also necessary that this activity be a continuous and evolutionary process that focuses on the informational needs of the user community.
The effect of Know, Want, and Learn (KWL) strategy with Prezi on students’ reading narrative text at SMKN 1 Labang

The purpose of this research is to know that KWL (Know, Want To Know, and Learn) can improve students' understanding and can be implemented in reading class. Reading as one of the skills to be performed elsewhere. There are some texts that must be mastered in reading skills, one of them is the narrative text. Narrative text is a series or story that is imaginative, in the context of narrative text students may be difficult, students can only read but do not understand what is written from the text they read. Therefore KWL with prezi is one of the best strategies suitable for the 11th grade students to be more active and easier in learning to read comprehension. The object of the study was to find the KWL technique with prezi effectively in writing narrative texts. The sample of this research isn eleventh grade of SMKN 1 Labang that is class RPL.1n as a control class, and class RPL.2 as an experiment class. Each class consists of 20 students. The method used in this research is quantitative method. In addition, the design used was quasi experimental research, and the instrument of this study was a written test. Significant influence was shown by the average post-test students in the experimental class treated with KWL with prezi technique greater than the post-test average in the control group class that was not treated with the KWL with prezi technique.
Non-interactive object extraction based on saliency detection

Abstract In traditional content-based image retrieval (CBIR), it is very important to segment the regions of interest for retrieval. In order to realize the non-interactive target region segmentation, this paper proposes the object segmentation based on significance region detection. The Grab Cut segmentation algorithm is initialized through the detection of the significance region, and the interactive operation is removed. The segmentation precision of the algorithm proposed in this paper is 89.51%.
CUSTOMER RELATIONSHIP MANAGEMENT : STUDI KASUS PERPUSTAKAAN INSTITUT TEKNOLOGI DEL

Customer Relationship Management is very important to be applied in libraries to increase the number of library visitors. The purpose of this study is to examine the efforts that need to be made to improve library management in a better direction. The method of observing the system is done by trying menus on the library information system. Currently the Del Institute of Technology Library has not conducted customer relationship management. The Del Institute of Technology library always strives to increase the satisfaction of library service users. In an effort to improve visitor services, the IT Del Library will make changes to the information system used so that the information system used can be more easily understood by users of library services. Some things that are done are improving the existing system, changing the system design and making additional menus for institutional repositories. Personalization of library service users can be done so that what is currently needed and in the future can be known and finally served by the library to its customers or users. It can happen through customer relationship management.
Distributed AdaBoost Extensions for Cost-sensitive Classification Problems

In data mining, classification of data has always been an area of interest and this is especially true after the rapid increase in availability of data being collected.Cost-sensitive classification is a subset of the broader classification problem where the focus is on solving the class imbalance problem.This paper addresses the class imbalance problem using Cost-sensitive Distributed Boosting (CsDb).CsDb is a meta-classifier designed to solve the class imbalance problem for big data, is based on the concept of MapReduce.The focus of this work is to solve the class imbalance problem for the size of data which is beyond the capacity of standalone commodity hardware to handle.CsDb solves the classification problems by learning models in a distributed environment.Empirical evaluation of CsDb carried over datasets from different application domains shows average reduction of misclassification cost and number of high cost errors by 21.06% and 30.15% respectively with respect to its predecessors of type error based classifier.It preserves the cost-sensitivity of cost based predecessor.While it preserves the accuracy and F1-score, the model building time is reduced by 90.14% as compared to a non-distributed cost-sensitive classifier.
Gaussian Recursive Filtering Algorithm for Multi-Rate Sensor Systems with Delayed and Infrequent Primary Measurements

In order to reduce the computational burden of multi-rate multi-sensor systems with delayed and infrequent measurements, in this paper, we propose two Gaussian recursive filters. First of all, by augmenting the delayed and infrequent measurements to original one and introducing a judgment factor, the centralized filter is designed. Then, based on the rule of CI fusion and the same factor in centralized fusion filter, the distributed fusion filter is designed. Finally, to verify the effectiveness of proposed centralized and distributed filter in this paper, using a discrete-time linear model, the two algorithms proposed in this paper are compared with the standard Kalman filter without infrequent measurements and the method of re-computation.
Актуализация защитных теорий медиаобразования в «эпоху постправды» информационного общества

The scientific article discusses defensive theories of media education, which are becoming increasingly relevant in the era of information crisis. The erratic growth of information sources, the lack of verification of information and its depreciation put modern society and science in front of new challenges that can only be solved by introducing defensive theories of media education into multi-level training courses. The issues of protecting the human mind from manipulating the media are exacerbated annually, and the fact of ignoring the media education of schoolchildren and students can also be viewed as anti-human. Today, the main problems of these disciplines at the implementation stage are their complexity, depth and convergence, which can introduce a hard intellectual qualification when studying, making it difficult to master the updated curriculum. The most rational approach is to follow the recommendations of UNESCO in 2002, where it says that media education is part of the basic right of every citizen of any country to freedom of expression and to receive information. Recognizing the differences in approaches and development of media education in different countries, it is recommended that it be introduced wherever possible within the national curriculum, as well as in the framework of additional, non-formal education and self-education throughout a person’s life.
A study of the effect of innovation capability on financial and market performance with the mediating role of innovation performance

The purpose of this study is investigating the effect of Innovation capability on Financial and Market Performance according to the intervening variable of Innovation performance. For data collection by library and field method has been used. This study is quantitative research and this study in terms of purpose is applied research and in terms of method is descriptive-regression study. The results of confirmatory factor analysis indicate the construct validity of the questionnaire. The statistical population of this study is consisted all representatives of Iran Khodro that they are 800 representatives in Iran. For evaluation of sample size according to the Morgan table, sample size is 260 representatives. In current research, the sampling method was used by the simple randomly sampling and in order to determine reliability of the variables, Alpha Cronbach method has been used which its value is 0.821 and has reliability. Estimation of the model and test of hypotheses show that there is positive and significant effect between Innovation Capability and financial and marketing performance according to the intervening variable of Innovation performance. The results show that all hypotheses are confirmed.
PERANCANGAN BROSUR PENYEWAAN BUS PARIWISATA AUGMENTED REALITY DAN VUFORIA MENGGUNAKAN ANDROID

Augmented reality is a technology that combines the virtual object and the two-dimensional or three-dimensional environment into a real three-dimensional projecting the virtual objects in real-time using augmented reality can make ads interesting lenih. In terms of cost, do not wear too much as the cost of television advertising and media lainnya.dengan Markerless detection methods can be done almost every kind of object in order to obtain a good brochure design.  Mechanical media marketing is done is still lacking interatif and inoformatif, because they use a 2D image, making it less menarik.untuk get media marketing more attractive it will be applied Augmented Reality brochure on tourism car rentals, car rentals as media that would be more attractive. So customers better understand the information conveyed by the brochure. The results in this study can disimpikan that the application of augmented reality in car brochures more attractive because tour buses were presented with 3D so that tenants can see miniatures of cars bus directly from 3D animation through their semartphone significantly.
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random

Post-click conversion rate (CVR) estimation is a critical task in e-commerce recommender systems. This task is deemed quite challenging under the industrial setting with two major issues: 1) selection bias caused by user self-selection, and 2) data sparsity due to the rare click events. A successful conversion typically has the following sequential events: -> click -> conversion. Conventional CVR estimators are trained in the click space, but the inference is done in the entire exposure space. They fail to account for the causes of the missing data and treat them as missing at random. Hence, their estimations are highly likely to deviate from the real values by large. In addition, the data sparsity issue can also handicap many industrial CVR estimators which usually have large parameter spaces. In this paper, we propose two principled, efficient and highly effective CVR estimators for industrial CVR estimation, namely, Multi-IPW and Multi-DR. The proposed models approach the CVR estimation from a causal perspective and account for the causes of missing not at random. In addition, our methods are based on the multi-task learning framework and mitigate the data sparsity issue. Extensive experiments on industrial-level datasets show that our methods outperform the state-of-the-art CVR models.
String Matching Untuk Penyesuaian Dosen Pembimbing Dengan Algoritma Boyer Moore

String matcing is a technique of reading in this computer just as humans do from left to right or from right to left in several languages the faster someone reads more information is obtained. Adaptation of supervisors is important for academics and has been applied throughout the academic. However, if there are many students, it will certainly make it difficult for academics, the reason why it is necessary to adjust the supervisor so that the lecturers' research field can really be applied to students so that the supervisors provide guidance to students to gain broader knowledge due to the field of study. Besides that, the facilities are generally used so far using manuals requires a new information system for academics so as not to drain the mind and energy The adjustment of the thesis supervisor is designed to facilitate the academic, students and lecturers to be faster. The algorithm used in this system is to use the function of pulling information using string matching. Boyer more algorithm is reading a text from many texts and taking the bottom line or key of the text as information points. If later the adjustment of supervisors processes large data and is used continuously, this system really facilitates the academic parties to be integrated by utilizing fast and smart data, so that it only needs to develop the existing academic information system. &#x0D; Keywords: String Matching, Adjustment of Lecturers, Counselors, Boyer Moore Algorithms.