Reviewerly/exHarmony huggingface dataset:
SHIFTING PARADIGMS OF CONTINUOUS PROFESSIONAL DEVELOPMENT THROUGH BLENDED LEARNING AND E-ENABLED PLATFORMS FOR 21ST CENTURY TEACHING AND LEARNING

The article addresses the different definitions and view of different schools of thoughts concerning blended learning.It also outlined brief history of blended learning and reasons for blended learning.The procedure for designing course of instruction and the guiding question to the considered while designing blended learning were outlined.Due to the increased access to information through new technologies along with the need to prepare students to compete in an emerging information-based global economy call for the need for a pedagogical approach to professional development of teachers for the paradigm shift.The article further enumerates the elements that need to be considered in the professional development of teachers.The advantages and limitations of the blended instructions were equally listed.It was concluded that despite the need and demand to adopt blended mode of instructions in education, the knowledge base of blended instruction is still in its infancy stage hence there are myriad areas that call for better understanding before setting upon a definite mix of web based instruction and its face-to-face counterpart.
PERANCANGAN SISTEM INFORMASI GEOGRAFIS PARIWISATA BERBASIS WEB DI DINAS KEPEMUDAAN DAN OLAHRAGA DAN PARIWISATA KABUPATEN KEBUMEN

The purpose of this research is to know the geographic information system of tourism that is in Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency and develop it&#x0D; Research methods used by doing observationin Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency, then proceed with the system development method. the research method used is by the method of SDLC (System Development Life Cycle). By using the Software Notepad ++ to build tourism Geographical Information System web-based. PHP as a programming language, MySQL as the database server and the design of the map using the Google Maps API. The object-oriented approach that is used UML (Unified Modeling Language) can explain the flow of the existing system.&#x0D; Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency has been doing promotion through mass media such as newspapers and brochures in the delivery of information. But the way is not enough to inform tourism and places of attractions. It is therefore through the design of Geographical information system of tourism was able to resolve the issue.&#x0D; After the results of the study of geographic information systems is expected delivery of tourism information becomes more widespread, and the tourists could be quick and precise in finding information a tourist want to visit.
Compression Method of Factor Oracle by Triple-Array Structures

Pattern matching is an important technique in text processing and is used for character string replacement and search.A factor oracle is a data structure for pattern matching, and it is a finite state automaton that can search substrings.This data structure consists of internal and external transitions and has the characteristic property of accepting at least all substrings.The automaton including the factor oracle is represented by a two-dimensional array called Table, Johnson method, etc. Search using Table is fast, but the memory capacity is large.The Johnson method has the feature of representing the factor oracle using a small amount of storage, and since it can be achieved with a transition speed of O(1), it is considered as fast as Table .The memory of the Johnson method depends on the size of the element itself and the number of elements.In other words, by reducing these, the applicability of the factor oracle to enormous data will be further enhanced.In this research, using compact double-array, we propose a method consisting of compressing the size of the elements themselves, improving the Johnson method in order to achieve a construction using external transitions only, and compressing the number of elements.As shown by the experimental results, the proposed method has higher storage efficiency compared to the Johnson method and is capable under certain conditions of high-speed search.
Interpolated Spectral NGram Language Models

Spectral models for learning weighted nondeterministic automata have nice theoretical and algorithmic properties.Despite this, it has been challenging to obtain competitive results in language modeling tasks, for two main reasons.First, in order to capture long-range dependencies of the data, the method must use statistics from long substrings, which results in very large matrices that are difficult to decompose.The second is that the loss function behind spectral learning, based on moment matching, differs from the probabilistic metrics used to evaluate language models.In this work we employ a technique for scaling up spectral learning, and use interpolated predictions that are optimized to maximize perplexity.Our experiments in character-based language modeling show that our method matches the performance of stateof-the-art ngram models, while being very fast to train.
Language Modeling with Shared Grammar

Sequential recurrent neural networks have achieved superior performance on language modeling, but overlook the structure information in natural language.Recent works on structure-aware models have shown promising results on language modeling.However, how to incorporate structure knowledge on corpus without syntactic annotations remains an open problem.In this work, we propose neural variational language model (NVLM), which enables the sharing of grammar knowledge among different corpora.Experimental results demonstrate the effectiveness of our framework on two popular benchmark datasets.With the help of shared grammar, our language model converges significantly faster to a lower perplexity on new training corpus.
Multi-source Manifold Outlier Detection

Outlier detection is an important task in data mining, with many practical applications ranging from fraud detection to public health. However, with the emergence of more and more multi-source data in many real-world scenarios, the task of outlier detection becomes even more challenging as traditional mono-source outlier detection techniques can no longer be suitable for multi-source heterogeneous data. In this paper, a general framework based the consistent representations is proposed to identify multi-source heterogeneous outlier. According to the information compatibility among different sources, Manifold learning are combined in the proposed method to obtain a shared representation space, in which the information-correlated representations are close along manifold while the semantic-complementary instances are close in Euclidean distance. Furthermore, the multi-source outliers can be effectively identified in the affine subspace which is learned through affine combination of shared representations from different sources in the feature-homogeneous space. Comprehensive empirical investigations are presented that confirm the promise of our proposed framework.
DESIGN OF DIGITAL DOWN CONVERTER AND SIGNAL DETECTION TECHNIQUES FOR SOFTWARE DEFINED RADIO

Software Defined Radio (SDR) is the ubiquitous technology employed in Electronic Communication Systems.Widespread availability of multi-processor SoC technologies lead the way to replace the analog hardware blocks with software driven flexible heterogeneous computing blocks.One of the potential requirement of Software defined Radio/Receiver is assessment of spectrum occupancy over the specified frequency spectrum.The SDR has fast analog-to-digital converter (ADC) that digitizes the band limited RF or IF signals followed by Digital Down Converter (DDC) that optimizes the bandwidth (BW) and output data rate.In many applications, the signal of interest represents a small proportion of the input BW.Spectrum occupancy is estimated by converting time domain signals at the output of DDC to frequency domain and applying detection threshold on the spectrum.This is achieved through Fast Fourier Transform (FFT) technique.Active signals within the pass band are detected based on the estimated Noise riding threshold of the spectral data.In this paper, DDC and FFT blocks are designed for implementation on FPGA.Vivado 2018.1 version tool is used in the design and development of the firmware.Broad specifications are RF = 100 to 1000 MHz, Second IF = 75 MHz, instantaneous BW = 40 MHz, ADC sampling rate, f s = 100 MHz.
Modelling and simulation of an automatic solar module characteristics data acquisition system

This paper is devoted to the design and simulation of an automatic data acquisition system of solar module characteristics. The system is essentially composed of three parts. The first part is devoted to the acquisition of the electrical parameters of the solar module (Current, Voltage and Power) in automatic ways using an automatic variable load. The second part is focused on devices which measure the ambient temperature and solar irradiation. In the last part, we study the design of an acquisition interface and a database for data saving. The results of simulations validate the correct operation of the measuring bench.
PERUBAHAN PENGGUNAAN MODALITAS INTENSIONAL DALAM BAHASA MELAYU DAN BAHASA INDONESIA

Modality is the means of the speaker for his involvement in the truth of his speech propositions. In the semantic level, modalities can appear in all languages with their respective expressions. Modalities according to Alwi (1992) consist of intentional modalities, epistemic modalities, deontic modalities, and dynamic modalities. This study aims to look at changes in use in the aspects of intentional modalities in Malay and Indonesian. The data taken is in the form of Malay texts Hikayat Hang Tuah (1700), Hikayat Indera Nata (1800), and Ronggeng Dukuh Paruk (1982)..
Modeling Generalized Rate-Distortion Functions

Many multimedia applications require precise understanding of the rate-distortion characteristics measured by the function relating visual quality to media attributes, for which we term it the generalized rate-distortion (GRD) function. In this study, we explore the GRD behavior of compressed digital videos in a two-dimensional space of bitrate and resolution. Our analysis on a large-scale video dataset reveals that empirical parametric models are systematically biased while exhaustive search methods require excessive computation time to depict the GRD surfaces. By exploiting the properties that all GRD functions share, we develop an Robust Axial-Monotonic Clough-Tocher (RAMCT) interpolation method to model the GRD function. This model allows us to accurately reconstruct the complete GRD function of a source video content from a moderate number of measurements. To further reduce the computational cost, we present a novel sampling scheme based on a probabilistic model and an information measure. The proposed sampling method constructs a sequence of quality queries by minimizing the overall informativeness in the remaining samples. Experimental results show that the proposed algorithm significantly outperforms state-of-the-art approaches in accuracy and efficiency. Finally, we demonstrate the usage of the proposed model in three applications: rate-distortion curve prediction, per-title encoding profile generation, and video encoder comparison.
APLIKASI PREDIKSI KELAYAKAN CALON ANGGOTA KREDIT PADA KSPPS BMT ARTA JIWA MANDIRI WONOGIRI MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

An economy that tends to be unstable causes many people to make loans at banks and cooperatives to meet their increasing daily needs. But there are some people who cannot return the loan in a timely manner. These problems can be created or developed by an application that is used to predict whether the people who apply for loans can return loans smoothly, smoothly and stall. Use of attributes such as gender, age, type of work, number of loans, term of return, collateral and income and use the K-Nearest Neighbor algorithm to make predictions. From the research results obtained in the form of accuracy value of 80%, recall of 91% and preciison of 85%. Thus this application can be used to help the pinjman savings cooperative in considering prospective savings and loan credit members who deserve a capital loan. Keywords: data mining, K Nearest Neighbor, cooperatives, savings and loans.
Some elliptic curve based crypto-compression schemes for medical images

In this paper, we propose two lossless crypto-compression schemes based on Elliptic Curve (EC) for the security of medical images.Pixels values are computed as elements of a finite field Fq.For compression, these elements are grouped in blocks in an appropriate manner.After transforming these blocks into points of an elliptic curve, two EC-based encryption schemes are applied.We obtain two crypto-compression schemes which compared to some existing systems, offer better performances in terms of compression rate, image quality and execution time.
Correction to: Effects of grammar complexity on artificial grammar learning

In the article "Effects of Grammar Complexity on Artificial Grammar Learning" by E. Van den Bos and F. Poletiek, published in Memory & Cognition, 2008, 36(6), 1122-1131, doi:10.3758/MC.36.6.1122, an error was made in the computation of topological entropy (TE).
Penerapan Strategi Pembelajaran Everyone Is Teacher Here Untuk Meningkatkan Keterampilan Berbicara Siswa

This research motivated by the low results of students speaking skills. This study aims to find out the results of students speaking skills before using the strategy everyone is teacher, the learning process using strategy everyone is teacher here, also to find out the results of students speaking skills after using the strategy everyone is teacher here on Indonesian language subjects in class V MI Al Musdariyah District Cileunyi Regency Bandung. The Method used is a classroom action research method.The data collection technique uses observation for work and documentation. Data analysis uses the observation sheet and performance. The study subjects consisted of 24 students, 10 women and 14 men. The results of the data analysis concluded that (1) The students speaking skills before using the strategy everyone is teacher here is still low with an average value of 46,9. (2) Implementation of the strategy everyone is teacher here goes well according to the stages. Teacher and student activities have increased in each cycle. (3) Students speaking skills after using the strategy everyone is teacher here has increased every silk cycle. The percentage of classical learning completeness in pre cycle 8,3%, cycle I is 41,5%, and cycle II is 91%.
Study of Aerosol Impact on the Solar Potential Available in Burkina Faso, West Africa

This paper is an assessment of aerosols impact on solar potential available in Burkina Faso in 2017. Three measurement stations were selected from the North to the South according to the climatic zones, with sites at Dori (14.035°N, 0.034°W) in the North, Ouagadougou (12.20°N, 1.40°W) in the Center and Gaoua (10.29°N, 3.25°W) in the Southwest, respectively. This study is based on in-situ measurements, satellite observations and a tropospheric standard model of the Streamer radiative transfer code of atmospheric particles. The results show a high availability of solar irradiation with average monthly values ranging between 4.46 kWh/m²/d and 6.82 kWh/m²/d. The most favorable periods with maximum radiation are observed in Spring in March and in Fall in October. Yet, the qualitative comparison between the evolution of aerosols and that of solar potential clearly shows aerosols capacity to influence the radiation at the crossing of the atmosphere. Thus, the aerosols maxima correspond to the solar potential minima. Moreover, a comparison between the day cycles of solar radiation and those of the simulation model shows a good accuracy of the Streamer code to estimate the solar flows at the surface in a standard atmosphere without clouds in Burkina Faso.However, a quantification of the aerosol impact by the Streamer code reveals a reduction in the normal direct flow compared to clear days defined by aerosol optical depth (AOD) less than 0.2 (AOD&lt;0.2) of nearly 75.04% at the Dori site in the North, 57.33% at the Ouagadougou site in the Center and 40.89 % at the Gaoua site in the Southwest during polluted days corresponding to AOD higher than 0.8.This corresponds to an increase in the diffuse flow of 279.69 W/m², 246.05 W/m² and 226.09 W/m², respectively calculated on the same sites. In case of a mixed day (0.2 &lt;AOD &lt;0.8), this decrease in direct solar flow is estimated at 41.25%, 22.11% and 37.13% with an increasein the diffuse solar flux of 115.04 W/m², 150.43 W/m² and 79.58 W/m² at the sites of Dori, Ouagadougou and Gaoua, respectively.
Analysis of Hedges in English Advertising from the Perspective of Cooperative Principle

Hedge is a phenomenon of the fuzziness in language.It is also a particularly crucial communication strategy.This thesis analyzes hedges in English advertising on the basis of Cooperative Principle.The thesis promotes the further study of hedges from different perspectives.Advertisers are also able to adopt hedges in a better way for promoting their products and services.At the same time, it may help them to understand the strategies well.More importantly, it promotes the study of the advertising and cooperative principle.
CORRELATION BETWEEN TIME TO POSITIVITY BLOOD CULTURE AND PROCALCITONIN ON BACTEREMIA PATIENT

IntroductionBacteremia causes a high mortality rate. Detection of bacteremia is needed as quickly as possible. The gold standard for bacteremia is blood culture which takes between 24-48 hours. Procalcitonin (PCT) is a marker of infection that is caused by bacteria that can be detected quickly in 2-6 hours. Time to positivity (TTP) blood culture is affected by the initial amount of bacteria and the addition of procalcitonin stimulated by bacteria that causes bacteremia where short TTP and high PCT show bad clinical conditions. Materials and MethodsAnalitical cross sectional research on patients with bacteremia. Fourty six bacteremia cases become the sample of research. Time to Positivity is calculated with Bactec 9050 and Procalcitonin is analyzed with mini VIDAS B.R.A.H.M.S. Examination is conducted in Department of Clinical Pathology FK-USU/ Installation of Clinical Pathology of RSUP H. Adam Malik, Medan, June – October 2016. ResultsThere was significant correlation between Time to Positivity blood culture and procalcitonin on bacteremia patients (p&lt;0.05). There was no significant correlation between Time to Positivity and procalcitonin on bacteremia which was caused by gram-positive bacteria or gram-negative bacteria (p&gt;0.05). Procalcitonin was significantly higher on bacteremia which was caused by gram-negative bacteria compared to gram-positive bacteria (p&lt;0.05). ConclusionThere was significant correlation between Time to Positivity blood culture and procalcitonin on bacteremia patients. Significantly higher levels of procalcitonin in cases of bacteremia are more likely to be caused by Gram-negative bacteria than Gram-positive bacteria
Entanglement properties of a measurement-based entanglement distillation experiment

Measures of entanglement can be employed for the analysis of numerous quantum information protocols. Due to computational convenience, logarithmic negativity is often the choice in the case of continuous variable systems. In this work, we analyse a continuous variable measurement-based entanglement distillation experiment using a collection of entanglement measures. This includes: logarithmic negativity, entanglement of formation, distillable entanglement, relative entropy of entanglement, and squashed entanglement. By considering the distilled entanglement as a function of the success probability of the distillation protocol, we show that the logarithmic negativity surpasses the bound on deterministic entanglement distribution at a relatively large probability of success. This is in contrast to the other measures which would only be able to do so at much lower probabilities, hence demonstrating that logarithmic negativity alone is inadequate for assessing the performance of the distillation protocol. In addition to this result, we also observed an increase in the distillable entanglement by making use of upper and lower bounds to estimate this quantity. We thus demonstrate the utility of these theoretical tools in an experimental setting.
Another look at success probability of linear cryptanalysis

This work studies the success probability of key recovery attacks based on using a single linear approximation. Previous works had analysed success probability under different hypotheses on the distributions of correlations for the right and wrong key choices. This work puts forward a unifying framework of general key randomisation hypotheses. All previously used key randomisation hypotheses as also zero correlation attacks can be seen as special cases of the general framework. Derivations of expressions for the success probability are carried out under both the settings of the plaintexts being sampled with and without replacements. Compared to previous analysis, we uncover several new cases which have not been considered in the literature. For most of the cases which have been considered earlier, we provide complete expressions for the respective success probabilities. Finally, the full picture of the dependence of the success probability on the data complexity is revealed. Compared to the extant literature, our work provides a deeper and more thorough understanding of the success probability of single linear cryptanalysis.
Early Detection of Health Kindergarten Student at School Using Image Processing Technology

The health early detection system for kindergarten students helps teachers to monitor the health conditions of students.For this reason, the purpose of this system is to propose a system that can detect the health of kindergarten students so that teachers can concentrate more on teaching.This paper presents a technique of combining facial recognition and movement classification for health classifications.For expression recognition, this system uses the PCA method to extract features, then the Euclidean distance algorithm is used to calculate between Eigen Face images and test images.Classification of movements, this study uses two classifications namely active and inactive.For recognition of facial expressions, this system obtains an accuracy of 83.75%.
A High Throughput and Energy-Efficient Retina-Inspired Tone Mapping Processor

This paper presents a high throughput and energy-efficient retina inspired tone mapping processor. Several hardware design techniques have been proposed to achieve high throughput and high energy efficiency, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining and convolution filter compression with zero skipping convolution. The proposed processor has been implemented on a Xilinx's Virtex7 FPGA for demonstration. It is able to achieve a throughput of 189 frames per second for 1024*768 RGB images with 819 mW. Compared with several state-of-the-art tone mapping processors, the proposed processor achieves higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained video enhancement applications such as autonomous vehicle and drone monitoring.