Reviewerly/exHarmony huggingface dataset:
The Analysis Of Language Use Errors On Official Letters

The study aimed at investigating: syntactic errors, 2) spelling mistaks, and the causal relationship factor. This study is qualitative in nature with content analysis method. The data of the study comprises form of words, phrases, and clauses from an outward letter issued in October 2017. A-three stages content analysis as an analysis technique tool was used. Firstly, data reduction stage, the data was reduced and the researchers recorded the errors of the data and interviewed the participants of the study. Secondly, presentation of the data stage, the researchers presented the results of the errors and the results of the interview. Thirdly, drawing conclusion stage, the researchers compared the results of errors in the formal outward letter and the results of the interview. More importantly, the validity of the findings was checked by using data source triangulation method. The results of the study show that: 1) syntactic errors were found in ”implementation” and “implementation” words usage; 2) the spelling mistakes occurred in the use of di-, capital letters, and academic titles; 3) the weaknesses of Indonesian grammatical usage; b) no training in writing official letters, c) the letters made by several people.
Data Support Services for Real-time Linked Dataspaces

The objective of a Real-time Linked Dataspace is to support a real-time response from intelligent systems to situations of interest when a set of events take place within a smart environment. In addition to the obvious need for real-time data processing support services, there is also the need for the fundamental data support services one would expect in a dataspace support platform. This part of the book discusses the enhanced data support services developed for the Real-time Linked Dataspace to support data management for intelligent systems within smart environments. The goal of these services is to support a real-time dataspace system to get up and running with a low overhead for administrative setup costs (e.g. catalog, entity management, search and query, and data service discovery). Each of the support services has been specifically designed for and evaluated within Internet of Things-based smart environments. This chapter provides a high-level overview of the data support services discussed in Part II and details their tiered service levels. This chapter is structured as follows: Sect. 5.2 provides a brief overview of the pay-as-you-go data support services covered in this part of the book, while Sect. 5.3 details how the services support the 5 star scheme. A summary is provided in Sect. 5.4.
HMM-based Bahasa Indonesia speech synthesis system with hand-segmentation and labeling

In this paper, we compare the naturalness quality of Bahasa Indonesia speech synthesis using festvox automatic- and hand-segmentation and labeling technique to create a speech transcription. First, we developed a 1549 declarative and question sentence phonetically balanced speech corpus uttered by six male and female speakers. We selected 47, 72, 119, 450, 929, and 1379 sentences, respectively for training whilst maintaining the phonetical balance. The objective is to find the least data training for synthesized naturalness evaluation on both automatic- and hand-segmentation and labeling. The evaluation result using the Mel-cepstrum distortion method was 2.9 for hand-segmentation and labeling, 5.36 for automatic with 47 training sentences, respectively which took about 45 minutes to complete. The performance was increased by 2.46 with hand-segmentation and labeling, 4.78 for automatic, with 1379 sentences and about 9 hours of training time. The Mean Opinion Score was 3.98 (hand) and 3.04 for automatic, respectively which is about 18% performance improvement. The automatic segmentation and labeling introduced phoneme boundary errors which may suggest that the necessity to take careful consideration in segmentation and labeling.
ACTIVITY ASPECT AS ONE OF THE DETERMINANTS OF CONTINUOUS PROFESSIONAL GROWTH OF A TEACHER

In the article it is considered the role of the activity factor in the continuous professional teachers' growth. It is highlighted the meaning and the essence of such notions as activity, educational activity, professional activity, research activity; and it is established the correlation of these concepts. It is also revealed that every activity has a purpose and the final result, which is directed to the defined objects and represents the activity of the subjects that enters into social relations. It is noted that educational activity is the basis and the means of preparation for any other activity. It is indicated that the professional activity of a teacher is characterized by a variety and a variability of conditions, methods and ways that requires continuous development of the creative demonstrations of the pedagogical process. Its component is a research activity which aimed at obtaining new accurate, objective, systemic knowledge. The research activity of the teacher has a creative character and it is an indicator of a high level of his/her pedagogical activity.These facts prove the idea that the teacher of the modern school should be a creator and a researcher. An educator also should be capable of the analysis, the observation, finding analogies, the generalization, the correction of pedagogical techniques or means. It is noted that the readiness of a teacher for research involves his/her mastering the research skills in the broadest sense of the concept, and it consists of motivational, cognitive and technological components. Motivational component is realized through such qualities of the teacher as responsibility, confidence, sensitivity, tolerance, honesty. The cognitive component is realized through such qualities of the teacher's personality as originality, autonomy, initiative, flexibility, ability to search and build a system of possible actions, ability to comprehend the problem. Modern technologies facilitate the transformation of spontaneous ideas into deliberate search and, in general, are the organizing start for the research activity.
PIXEL LEVEL REVERSIBLE DATA HIDING USING TWO LEVEL ENCRYPTIONS REVIEW

At some level of transmission of data is not secure and safe so to make the data more secure there are many methods to follow, Cryptography and Steganography are the one among them.These uses the data as an information and make them into a cipher form or just hide the existence of the data in other forms of the data then the data can be transferred in a protected way.The combinational use of both Cryptography and Steganography helps in providing the better security than the individual work of their own.The Cryptographic algorithms are used to provide two-level encryptions by converting the Original Text data into a cipher form of an integer valves with a Private Secret key whereas the Steganography converts the cipher integer values into RGB values and then modify a single pixel in each frames of the video which is selected by the user using the encryption.At the receiver's end the RGB values are obtained by the selected pixels then the integer value is obtained by these RGB values then the integer values obtained is decrypted in the first frame to the secret key, then other frames are retrieved and the integers obtained here are decrypted with the help of secret key, then the decrypted values are the ASCII values which are converted into its characters and then appended to the original message and then the message is displayed.
Study on the Necessity of Interactive Development between Higher Vocational Education and Regional Economy

Higher vocational education as an important part of higher education system, for the development of the regional economic power, provide the necessary talent and intelligence support, play a more important role in regional economic development, strengthen to interact with the linkage of the regional economy, so as to realize the interactive development of higher vocational education and regional economy, is the common goal and mission. This paper expounds the necessity of interactive development between higher vocational education and regional economy from four aspects: the interactive development between higher vocational education and regional economy has risen to national strategy, the interactive development between higher vocational education and regional economy is the only way for regional economic development, and higher vocational education is the only way for regional economic development. Interactive development with regional economy promotes continuous optimization and improvement of higher vocational education system, and interactive development between higher vocational education and regional economy promotes regional social harmony and stability.
Transformation, Adjustment and Ethics: An Analysis of the Behavior of Internet Capital Intervening in the Media Industry———Based on the perspective of AST theory

Internet capital directly or indirectly involved in the media industry, realizing the transformation of data assets into capital, through the organization of attributes, data technology and the technical social structure model of the actors, adapting the media industry with technology, in the process of data rules and resource acquisition, the output is The new social structure has made Internet capital an “industry” capital, and has created an ethical connection in terms of input, adaptation, and output. To this end, it is necessary to establish the moral value of data technology input, strengthen the moral adjustment of internetwork capital adjustment, and regulate the privacy context of data privacy output.
A Cross-Topic Method for Supervised Relevance Classification

In relevance classification, we hope to judge whether some utterances expressed on a topic are relevant or not. A usual method is to train a specific classifier respectively for each topic. However, in that way, it easily causes an underfitting problem in supervised learning model, since annotated data can be insufficient for every single topic. In this paper, we explore the common features beyond different topics and propose our cross-topic relevance embedding aggregation methodology (CREAM) that can expand the range of training data and apply what has been learned from source topics to a target topic. In our experiment, we show that our proposal could capture common features within a small amount of annotated data and improve the performance of relevance classification compared with other baselines.
PEMBELAJARAN MEMBACA NYARING TEKS BERAKSARA JAWA DENGAN MENGGUNAKAN METODE PEMBELAJARAN LANGSUNG PADA SISWA SEKOLAH DASAR

The purpose of this study is to improve learning activities and student learning outcomes in learning the ability to read Javanese text using direct learning models in fourth grade elementary school students. This research is a Classroom Action Research (CAR) conducted in class IV SDN 01 Manguharjo, Madiun City with a total of 26 students. The method used to collect data in the form of observations, questionnaires, and tests. Data were analyzed descriptively qualitatively by the Milles Huberman flow method. The results of this study indicate that the percentage of students who complete learning with the direct learning method is 92.3% and 7.7% is incomplete. These results state that the completeness of learning material with the direct learning method has been successful, because it has reached a predetermined percentage of 80%. That way this direct learning method can improve the learning process and student learning outcomes in reading Javanese script
ANALISIS QOS PADA IMPLEMENTASI KONFIGURASI TRIPLE PLAY MENGGUNAKAN GPON DAN MSAN DI WILAYAH PT TELKOM AKSES STO SEMANGGI

Multimedia telecommunication technology grows increasingly rapid, telecommunication services are currently not only voice service but also Internet and IPTV, the three services are commonly known Triple Play. To be able to support such services PT Telkom Access Building Technology MSAN (Multi Service Access Node) and GPON (Gigabit Passive Optical Network). The research methods conducted are observation of space and literature study based on sources from reference. Several stages of configuration are done using the secureCRT app. Network quality measurement using the Embassy and Ibooster app.
El Archivo General de la Universidad de Burgos: una década más afrontando nuevos retos

espanolEl articulo describe el trabajo desarrollado en el Archivo de la Universidad de Burgos a lo largo de la ultima decada. Durante este tiempo no solo se han realizado las tareas propias de gestion documental, sino que el Archivo ha querido dar un paso adelante, implicandose en proyectos transversales que van mas alla de las funciones que tiene asignadas, como la implantacion de la administracion electronica en la Universidad. EnglishThe article describes the work carried out in the Archive of the Uni-versity of Burgos over the last decade. Along this period, not only document mana-gement tasks have been taken, but the archive has gone a step forward, getting in-volved in transversal projects beyond their own functions, such as the development of eGovernment at the University.
A STUDY ON USAGE OF PERIODICALS SERVICES OF THE LIBRARY OF EASTERN UNIVERSITY, SRI LANKA

15Oct 2019 A STUDY ON USAGE OF PERIODICALS SERVICES OF THE LIBRARY OF EASTERN UNIVERSITY, SRI LANKA. Gayathiri Navirathan and Mariapillai Jeyakananthan. Senior Assistant Librarian, Eastern University, Sri Lanka. System Analyst, Eastern University, Sri Lanka.
LibGuides: Grade 4: Applying Logical Thought and Creativity

The Draft K-4 Curriculum (2018) is built around essential understandings that are consistent across the grades. The Guiding Questions that lead to outcomes are unique for each grade. Use New.LearnAlberta.ca for complete outcomes.
WAHC'19

The 7th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC) will be held in London, United Kingdom, on November 11th, 2019, co-located with the ACM Conference on Computer and Communications Security (CCS). The purpose of the WAHC 2019 workshop is to bring together professionals, researchers and practitioners from academia, industry and government, to present, discuss and share the latest progress in the field of encrypted computing. Encrypted computing is a particular subfield of the area of computer security and applied cryptography, with an interest in practical applications of homomorphic encryption, multiparty computation, functional encryption, secure function evaluation, private information retrieval and searchable encryption. The workshop features an invited talk, that discusses how advanced cryptography is on its way to practice, a demonstration of an homomorphic encryption evaluation platform, and 6 exciting talks on different encrypting computing topics: homomorphic encryption standardization, multiparty computation, and applications.
Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation.

A considerable amount of annotated training data is necessary to achieve state-of-the-art performance in perception tasks using point clouds. Unlike RGB-images, LiDAR point clouds captured with different sensors or varied mounting positions exhibit a significant shift in their input data distribution. This can impede transfer of trained feature extractors between datasets as it degrades performance vastly. We analyze the transferability of point cloud features between two different LiDAR sensor set-ups (32 and 64 vertical scanning planes with different geometry). We propose a supervised training methodology to learn transferable features in a pre-training step on LiDAR datasets that are heterogeneous in their data and label domains. In extensive experiments on object detection and semantic segmentation in a multi-task setup we analyze the performance of our network architecture under the impact of a change in the input data domain. We show that our pre-training approach effectively increases performance for both target tasks at once without having an actual multi-task dataset available for pre-training.
Soil Property Analysis Process by Multi Sensor Technique

Two significant issues in present day Agriculture are water shortage and high work costs. These issues can be settled utilizing agricultur task robotization, which empowers accuracy agribusiness. Thinking about plenitude of daylight in India, this paper examines the plan and advancement of an IoT Agribot that computerizes water system task and empowers remote ranch checking. The Agribot is created utilizing a PIC microcontroller. While executing the undertaking of water system, it moves along a pre-decided way of a given ranch, and faculties soil dampness substance and temperature at standard focuses. At each detecting point, information obtained from different sensors is prepared locally to choose the need of water system and in like manner homestead is watered. Further, Agribot goes about as anIoT gadget and transmits the information gathered from numerous sensors to a remote server utilizing GPS/GPRS.At the remote server, crude information is prepared utilizing sign handling tasks, for example, separating, pressure and expectation.As needs be, the broke down information measurements are shown utilizing an intuitive interface, according to client demand.
The Protection Strategies of User Privacy in Cloud Computing

Cloud computing attracts a large number of users by its good scalability, low cost, on-demand payment and other advantages, but due to the related technology is not mature enough, imperfect legal supervision and so on, the privacy and security problems of cloud computing are serious at present. This paper proposes a privacy data protection model based on the analysis of the security and privacy problems in cloud computing, which classifies data into private data and non-private data according to the privacy attributes of data, and considers encryption, decryption technology and data partitioning technology to protect privacy data in data transmission and data storage. Experiments indicate that this model can improve the security of privacy data to a certain degree.
Strong Typed Programming

As we have learned at the beginning of this book in Part I, the Java programming language has defined the integer, double, Boolean, String, etc., as basic types. In Java, we cannot assign any value to a variable without defining the variable with a type beforehand. Only after a variable has been defined clearly by a type—for example, integer—are we then allowed to assign an integer value to it and start using it as an integer in the calculation. Once a variable's type is defined, it cannot be assigned a value with a different type, logically speaking. For instance, if a variable is defined as Boolean, it cannot be assigned an integer value. Otherwise, we will get a type mismatch compilation error.
Clustering and Classification of Kepler's Confirmed Exoplanets Based on Mixture Models

Exoplanets are planets which orbit a star beyond our solar system. NASA’s space based Kepler telescope has discovered thousands of confirmed exoplanet candidates using planetary transit method. Various types of planets with different physical characteristics are present in this Keplars’ confirmed exoplanet group. We split this confirmed exoplanet group into three different temperature groups viz. hot, warm, and comfort according to effective equilibrium temperature. Using different clustering validity indices we try to find the optimum number of homogeneous groups in the radius-mass, and mass-density spaces of different exoplanet groups individually. We split each planetary group into optimum number of homogeneous subpopulations according to optimum clustering technique. For classification of habitable exoplanets, we try to fit different probability distributions on the homogeneous subpopuations of habitable exoplanets with four physical parameters and the best fitted distribution has been chosen according to information criterion values. We propose a classification rule based on conditional probability of class membership which depends on mixture of different distributions. We try to classify few habitable exoplanets using this rule and compare our results with the true class of these planets.
A Study on Nominal Adverbials in Russian

The purpose of this paper is to examine the characteristics of accusative/genitive/ instrumental nominal adverbials in Russian. Generally, noun-based adverbs, i.e., nominal adverbials in Russian are employed as adverbs in accusative, genitive, and instrumental case. This study investigates the mechanism of case assignment of adverbials and the syntactic structure of sentences containing nominal adverbials. From a viewpoint of the Minimalist Approach, this paper examines the syntax of Russian nominal adverbials, which have a variety of meanings and functions inside sentences. Most of all, this paper attempts to seek for a syntactic unification of case assignment and its responsible functional category of null P°/null Q°/Pred° as well as distinguishing adjuncts from arguments indispensable as constituents of the sentence.
Impact Of Learning Strategies Instruction On Students’ Mathematical Texts Comprehension Performance

Negative attitudes towards mathematics appear early and correlate with difficulties to comprehend tasks. Can the learning strategies instruction help students to develop better skills for comprehending mathematical texts? The research question was to define the extent of the impact of the instruction of learning strategies on the performance of the third grade primary school students who were taught mathematical texts’ comprehension. The purpose of this article was to establish the influence of the instruction of learning strategies on mathematical texts’ comprehension of the third grade primary school students. The results whether two factors – students’ cognitive abilities and their socio-economic status affected the performance of the mathematical texts’ comprehension. An experimental project with pre-test and post-test measurements was created. The experimental group consisted of 46 girls and boys, and the control group consisted of 59 girls and boys (9–10 years). The data analysis methods were descriptive, probability and multidimensional statistics. Statistically significant differences were not found in the analysis of average mathematical texts comprehension performance in the experimental group in comparison to control group (p 0,05). The results of study revealed that purposeful teaching of students to apply a learning strategy is a factor that has very small effect. The mathematical literacy previously acquired by the students, their learning achievements are much more influential factors for the students further progress. Those with higher achievements continue to progress, those with lower achievements lag behind