Reviewerly/exHarmony huggingface dataset:
Models Of The Modern Education Paradigm In The Context Of Culture

The article deals with the paradigms and models of education under division of the history into epochs, cultural development of society and peoples. Cultural changes are always associated with economic, social, spiritual development of society, its members, social groups. Knowledge, values, norms, behavioral patterns, social changes affecting lifestyles, and education are absorbed by culture. During the Antiquity and Enlightenment eras, education focused on cognition, spiritual and cultural development of human. Secular and spiritual forms of education coexisted.A polytechnic paradigm developed in the New Age focused on professional skills, techniques, capabilities and advantages. The article pays attention to modern concepts of education which were formed in the context of globalization and socio-cultural modernization of Russia. The relationship with paradigms and educational models of the Renaissance and Enlightenment was revealed.Modern goals and objectives of education are conceptualized in “The Concept of long-term socio-economic development of the Russian Federation for the period up to 2020”.
ACEHNESE UNDERGRADUATE STUDENTS’ STRATEGIES IN PREPARING FOR TOEFL PREDICTION: A PRELIMINARY STUDY

This study focused on the strategies of undergraduate students in preparing for the TOEFL Prediction. The study distributed questionnaires to the students of Universitas Muhammadiyah Aceh, gathering a sample of 15 students of different majors. The findings revealed that the students’ most used strategy was self-study, involving learning with various English materials. This study suggests that future research focus on the reasons influencing test-takers’ decision in test preparation strategies.
Dynamic searchable symmetric encryption schemes with forward and backward security

Abstract Dynamic searchable symmetric encryption (DSSE) is helpful to users with limited storage. In DSSE, the users are able to perform search and update queries on the ciphertext which stored on the cloud server. However, DSSE may suffer from file-injection attacks and leak information after deletion. In order to solve these problems, DSSE schemes with forward security and/or backward security have been proposed. In this paper, we propose two efficient DSSE schemes. The first one supports forward security using binary tree as the basic data structure. The second one uses puncturable encryption to achieve both forward and backward privacy.
3D Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation

In this paper, we proposed a 3D fully convolutional network (FCN) incorporating Savitzky-Golay (SG) filtering for prostate segmentation using magnetic resonance images (MRIs). Deep learning methods have achieved promising results in the field of segmentation, especially in semantic segmentation. However, it is not fully applicable to 3D medical images. To better extract the spatial information encoded in the 3D volumetric data, we designed a 3D FCN with long skip connection and the Parametric Rectified Linear Unit (PReLU) being the activation function. To further polish the deep learning based segmentation results, we employed SG filtering as a post-processing step. The SG filter was applied for smoothing and denoising, wherein second-order partial derivatives were taken to extract the edge information and achieve hole filling. In comparison with the 3D FCN without SG filtering, the post-processed results were more smooth, accurate and robust. The proposed method performed superiorly for prostate segmentation over several other state-of-the-art methods.
Open Researcher and Contributor Identifier and other author identifiers: Perspective from Pakistan.

The Open Researcher and Contributor ID (ORCID) is a globally trending initiative for author name disambiguation and serves as a 'digital curriculum vitae' for displaying an individual's research output. Although there are several other tools similar to ORCID, the collaborative efforts by ORCID make it the most attractive option. Most of the organizations and publishers are increasingly adopting ORCID in their systems, and authors from West and other parts of the world have attempted to create awareness about ORCID initiative. However, researchers from Pakistan and other developing countries should be introduced to this concept and be encouraged to adopt to such initiatives. Therefore, this paper aims to present a brief introduction to author identifiers, with special focus on the ORCID.
Publisher Platforms and NISO’s PIE-J

Certain platform designs can inadvertently affect the quality of access to e-journals adversely. Sally Glaser, Chair of the Standing Committee on Presentation and Identification of E-Journals (PIE-J) for the National Information Standards Organization (NISO), presented how the NISO recommended practice provides guidelines on how best to avoid problems. Julie Zhu shared how Institute of Electrical and Electronic Engineers has been striving to incorporate the PIE-J recommendations and some of the successes or hindrances they have encountered. Heather Otrando of Cambridge University Press described how upgrades to the Cambridge Core platform created an opportunity to more fully align their presentation of e-journal content with PIE-J recommendations.
MULTIMODALITY IN TEACHING ACADEMIC RESEARCH SKILLS: THE COGNITIVE CREATIVE METHODOLOGY CASE OF CRITICAL ASSESSMENT COMPETENCE SHAPING

In the proposed case study the authors show, how the original methodological algorithm may be used to creatively teach basic academic research skills and shape the fundamental research competence of professional literature critical assessment. The didactic technique of key concepts mind-mapping and presenting critical thinking reports by means of cognitive comprehensive reading professional academic literature is going to be demonstrated in the current paper as a creative tool of training analytical skills of critical evaluation, necessary for post graduate students involved in their early research activities.
Impact of the Audit Committee's Characteristics on Voluntary Disclosure: The Case of the Banks Operating in Jordan

The main objective of this study is to explore the impact of the Audit Committee's characteristics on the level of voluntary disclosure. Regression analysis was applied to verify the hypotheses, where this study used secondary data of 25 banks in the banking sector listed on the Amman Stock Exchange(ASE), for the period 2015 until 2017. The study found that there was an impact of the number of meetings of the Audit Committee on the level of voluntary disclosure, but there were no impacts, for both the size and independence of the Audit Committee, on the level of voluntary disclosure.
Generalize Sentence Representation with Self-Inference

In this paper, we propose Self Inference Neural Network (SINN), a simple yet efficient sentence encoder which leverages knowledge from recurrent and convolutional neural networks. SINN gathers semantic evidence in an interaction space which is subsequently fused by a shared vector gate to determine the most relevant mixture of contextual information. We evaluate the proposed method on four benchmarks among three NLP tasks. Experimental results demonstrate that our model sets a new state-of-the-art on MultiNLI, Scitail and is competitive on the remaining two datasets over all sentence encoding methods. The encoding and inference process in our model is highly interpretable. Through visualizations of the fusion component, we open the black box of our network and explore the applicability of the base encoding methods case by case.
Fused Confidence for Scene Text Detection via Intersection-over-Union

CNN-based scene text detection methods have achieved superior results. They are mostly implemented on the architecture of full convolution networks and non-maximum suppression (NMS) which combines two tasks of text classification and localization. However, in the NMS procedure, most filter the bounding boxes according to the classification confidence. This makes appropriately those well-located text boxes suppressed during NMS. In this paper, we propose an intersection-over-union (IOU) network to predict the IOU between the bounding box and the matched ground-truth. Then, the predicted IOU as localization confidence will be fused with the classification confidence. Furthermore, in the NMS, the classification confidence is replaced by the fused confidence as the ranking standard to preserve the accurately located text boxes. We experimented on the ICDAR2011 and ICDAR2013 datasets, the results show that the method proposed in this paper can effectively improve the accuracy of text detection.
PLS Equation Model of Student Loyalty based on Gender in IR 4.0 Environment

Students loyalty and attrition is an important issue for university authorities.Â  Earlier studies have discovered that many factors influencing student loyalty towards their higher learning institutions such as student satisfaction, university image, student trust, and service quality. However, these factors have high relationship correlated with each other. Therefore, this study used the Partial Least Square (PLS) to create a path model which shows the relationship between all factors related to student loyalty. The results from this study revealed that student satisfaction is the most important factors that influence student loyalty, followed by image of university and student commitment. Analysis based on gender shows that female student model have a same pattern with overall student loyalty model but the male student loyalty model is simpler just consist student satisfaction. On the other hand, factors technology, social environment and quality of instructor gave a great influence towards student satisfaction. Therefore, in order to improve student loyalty, university should keep on improving to satisfy studentsâ€™ requirement.
FACTORS AFFECTING THE SUCCESS OF THE USE OF ELECTRONIC MEDICAL RECORD (EMR) IN NURSING SERVICES IN HOSPITAL

The hospital is a health service facility that is integrated with the nursing service system. With the advancement of technology, the services of the congregation must be effective and efficient both in terms of service time so that the quality of service to patients is still prioritized. Nurses must be prepared to face challenges in the era of technological advances so that included in the use of electronic medical records, especially in the nursing service order, the factors that influence the success of EMR are nurses as users must be proficient in using computers, management must always evaluate and communicate with EMR use and IT systems themselves must be easier, faster and more flexible to use so nurses are more confident in using EMR
PENANGGANAN JARINGAN IRIGASI KRUENG BARO KABUPATEN PIDIE MELALUI ANGKA KEBUTUHAN NYATA OPERAISONAL DAN PEMELIHARAAN (AKNOP)

Krueng Baro Irrigation Area is one of the irrigation areas which is focused on increasing food crop productivity in Pidie District. To support the existence of the irrigation, of course, it must be supported by a well-organized irrigation system, so an effective irrigation network management system is needed through the O and M program. O and M activities require a truly real value or cost figure which is the result of the search for irrigation networks known as the real operation and maintenance demand value. The physical condition of the Krueng Baro Irrigation Network if viewed from the results of the irrigation network inventory still has many obstacles that hamper the fulfillment of rice water needs, including physical damage to buildings and irrigation channels. The evaluation of irrigation network performance is the first step in the preparation of the real operation and maintenance demand value, the rate of performance of the Krueng Baro Irrigation Area network is 68.06% (BWSSI, 2017) which falls into the less category and needs attention. This study aims to identify Irrigation Network O and M activities and the real operation and maintenance demand value Krueng Baro irrigation. The research method is in the form of observations / field observations and documentation to obtain the existing conditions of irrigation networks which subsequently identify O and M plans and preparation of the real operation and maintenance demand value. After the preparation of the real operation and maintenance demand value was obtained the output of the value of the real cost requirement in carrying out routine operations was only 0.53% (IDR 529,180,000.00), Routine Maintenance 6.52% (IDR 6,510,464,300.00), while for Periodic Maintenance is very large, namely 92.95% (IDR. 92,764,196,192.00) compared to the overall total cost (IDR. 99,803,840,492.00). In order to achieve the full O and M Plan and the real operation and maintenance demand value Krueng Baro Irrigation Network due to the limited budgetary budget so is divided into a 5-year priority program plan reference to Minister of Public Works and Housing Regulation No. 12 / PRT / M / 2015 with the first year priority carried out on the main building which greatly influences performance and function of the irrigation system such as turnover of intake doors, olak ponds and upstream weir sediment excavation and some buildings and channels that have been destroyed and not functioning on the carrier channel.
DESIGN OF AN ART MUSIC RELATED ESP COURSE SYLLABUS IN THE CONTEMPORARY CONTEXT

In the case of any ESP course, at any level, a careful syllabus design is of critical importance for its successful and purposeful implementation. After the introductory chapters, dealing with the key definitions and issues of ESP and art music related ESP, in the central part of this paper a design of an art music related ESP course syllabus is presented in detail, with the naming and description of all the steps and components included both in the design process and the subsequent practical performance of the course in direct work with students. The entire described process is planned with the full awareness of the contemporary life and circumstances, especially regarding the development of information technologies and information society and the consequences of such a development to the notions and concepts of learning, studying and teaching.
A novel approach for blind recognition of shortened RS codes

Most of existing methods to identify the Reed-solomon (RS) codes, commonly applied as channel codes, mainly focus on non-shortened RS codes. In this paper, a method to identify the shortened RS codes with short codeword length is proposed. Firstly, based on Gauss-Jordan elimination through pivoting (GJETP), the codeword length of shortened RS codes is identified. The shortened RS codewords are zeroized by estimating the order of finite field and the number of shortened symbols. Then, the Chinese remainder theorem(CRT) based algorithm is adopted to identify the primitive polynomial. Finally, the generator polynomial is obtained based on Galois field Fourier transform (GFFT). The simulation experiments are carried out showing that the probability of recognition of shortened RS codes is higher than 90% with bit error rate (BER) less than 5&times;10<sup>-3</sup> , which demonstrates the viability of the proposed recognition approach.
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String

We propose new frequent substring pattern mining which can enumerate all substrings with statistically significant frequencies of their locally optimal occurrences from a given single sequence. Our target application is genome sequences, around a half being said to be covered by interspersed and consecutive (tandem) repeats, and detecting these repeats is an important task in molecular life sciences. We evaluate the statistical significance of frequent substrings by using a string generation model with a memoryless stationary information source. We combine this idea with an existing algorithm, ESFLOO-0G.C (Nakamura et al. 2016), to enumerate all statistically significant substrings with locally optimal occurrences. We further develop a parallelized version of our algorithm. Experimental results using synthetic datasets showed the proposed algorithm achieved far higher F-measure in extracting substrings (with various lengths and frequencies) embedded in a randomly generated string with noise, than conventional algorithms. The large-scale experiment using the whole human genome sequence with 3,095,677,412 bases (letters) showed that our parallel algorithm covers 75% of the whole positions analyzed, around 4% and 24% higher than the recent report and the current cutting-edge knowledge, implying a biologically unique finding.
Practical Query Rewriting for DL-Lite with Numerical Predicates

We present a method for answering ontology-mediated queries for DL-Lite extended with a concrete domain, where we allow concrete domain predicates to be used in the query as well. Our method is based on query rewriting, a well-known technique for ontology-based query answering (OBQA), where the knowledge provided by the ontology is compiled into the query so that the rewritten query can be evaluated directly over a database. This technique reduces the problem of query answering w.r.t. an ontology to query evaluation over a database instance. Specifically, we consider members of the DL-Lite family extended with unary and binary concrete domain predicates over the real numbers. While approaches for query rewriting DL-Lite with these concrete domain have been investigated theoretically, these approaches use a combined approach in which also the data is processed, and require the concrete domain values occurring in the data to be known in advance, which makes the procedure data-dependent. In contrast, we show how rewritings can be computed in a data-independent fashion.
Analisis Cluster Intensitas Kebencanaan di Indonesia Menggunakan Metode K-Means

&lt;p&gt;Indonesia is one of the most prone countries to natural disasters in the world because of the climate, soil, hydrology, geology, and geomorphology. There are many different natural disasters, but the three most common natural disasters in Indonesia are flood, landslide, and tornado. This research aimed to cluster the provinces in Indonesia based on the flood, landslide, and tornado’s intensity in 2018. The results of clustering by K-Means method in this research divided the provinces in Indonesia into four clusters. The second cluster contained West Java, Central Java, and Bali, the third cluster contained DKI Jakarta, the fourth cluster contained DI Yogyakarta, and the first cluster contained the other 29 provinces. The result of this research hopefully can help the government in order to make decision and improve the natural disaster management system, such as preparedness, disaster response, and disaster recovery based on the most common disaster in each province. Furthermore, the society is expected to be more aware on natural disaster management based on the most common natural disaster in province that they lived.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords : &lt;/strong&gt;natural disaster, cluster, k-means&lt;/p&gt;
Courage and convictions, my conversations with Eric McLuhan

Preview this article: Courage and convictions, my conversations with Eric McLuhan, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/eme/18/4/eme.18.4.385-1.gif
Enabling Ordinary Users Mobile Development With Web Components

The rapid progress of the mobile internet has been promoting the popularity of mobile devices, and mobile application development is getting more pervasive. However, the state of the art development environments has a high learning barrier for users' lack of programming experience. In this paper, instead of traditional programming environments, we take consideration of ordinary users' requirements and propose a WYSIWYG cross-platform web-component-based mobile application creation environment for ordinary users. This environment has a visual editor with a drag-and-drop web component. A web component library model is proposed to standardize customized libraries. A cross-platform application model based on web components is implemented to build applications rapidly. It helps ordinary users generate installing packages within simple operations for multiple platforms. A native plugin model is proposed to assist web components to invoke native functionalities. The experiment result shows that ordinary users could quickly start to create mobile applications in our environment.
Res-RNN Network and Its Application in Case Text Recognition

To solve the problem of poor feature extraction ability of traditional text recognition methods in Chinese medical record text, this paper proposes a Res-RNN network for feature extraction based on residual error. Combined with residual characteristics, this network not only improves the depth of the network, but also ensures that there will be no degradation of the network, and strengthens the network's ability to extract Chinese character features. In the residual module, 1 x 1 convolution kernel is used to replace 3 x 3 convolution kernel, effectively reducing the parameters. Combined with feature maps of different scales, the feature information of Chinese characters at different levels is effectively utilized. According to the characteristics of Chinese characters, the vertical sensing field of the feature map is adjusted to retain more vertical fine-grained feature information, thus effectively improving the representational ability of the network. Experiments on actual Chinese medical record text image data set show that the accuracy of the proposed model is 4% higher than that of CRNN.
STUDENTS’ PERCEPTION ON RUNNING DICTATION METHOD IN ESP CLASSROOM

This research is intended to find and describe students’ perception about running dictation in ESP classroom. Descriptive method is used of this research. To gain students’ perception about running dictation, the researcher used a questionnaire. The population of this research was the fifth semester students of Cokroaminoto Palopo University. The researcher applied purposive sampling technique and took 15 students as samples of this research. The results show that the students’ perception has advantages and also disadvantages towards running dictation method. The advantages namely: it can increase students’ vocabulary, practice students’ cooperation, practice students’ concentration and memory, and then make the learning process be more fun, interesting and not boring. Meanwhile, the disadvantages namely: it can make the students get injury and feel exhausted because of running. Therefore, based on their perceptions, in solving those problems, the researcher finds a new technique by changing the running becomes walking. This change will be called walking dictation method.
Analysis review on feature-based and word-rule based techniques in text steganography

This paper presents several techniques used in text steganography in term of feature-based and word-rule based. Additionally, it analyses the performance and the metric evaluation of the techniques used in text steganography. This paper aims to identify the main techniques of text steganography, which are feature-based, and word-rule based, to recognize the various techniques used with them. As a result, the primary technique used in the text steganography was feature-based technique due to its simplicity and secured. Meanwhile, the common parameter metrics utilized in text steganography were security, capacity, robustness, and embedding time. Future efforts are suggested to focus on the methods used in text steganography.