Reviewerly/exHarmony huggingface dataset:
The Effect of Newspaper Reading Habits on the Ability to Develop Exposition Compositions by Our Junior High School Students Kita Membangun Yadika Mahato in the 2012/2013 Study Year

This study aims to see how much influence the habit of reading newspapers has on the ability to develop expository essays by the students of SMP Kita Bangun Yadika Mahato Kec. North Tambusai, Rokan Hulu Regency 2012/2013 Academic Year. The method used in this research is descriptive method. Meanwhile, the instruments used in collecting data were questionnaires and composing tests. The population of this study were all students of class IXB SMP Kita Bangun Yadika Mahato Kec. North Tambusai, Rokan Hulu Regency, totaling 22 people and samples were taken from the entire population. The data analysis technique used is a qualitative analysis technique. The results of data analysis showed that the students' writing ability with details of the value of rp = 0.946 with tcount &gt; and ttable (2,7 &gt; 1, 725) Thus, it can be concluded that there is a significant influence between writing expositions and the habit of reading newspapers. According to the statistical provisions of the correlation analysis, the correlation is accepted.
A UA-net based Salient Object Detection Method for UAV

Object detection is one of the hot research issues for the Unmanned Aerial Vehicle (UAV). The main problem of object detection is the inaccuracy of object’s location. Most of the current studies focus on classifying and locating objects, while ignore the influence of pixel-level object detection. By utilizing the Salient Object Detection (SOD) method, we may improve the accuracy of object’s location. In this work, we refer to the structure of U-net, and present a network structure called UA-net. In order to improve the result of small image processing, we use not only the commonly used bilinear interpolation method, but also try several other image interpolation methods. After trained and tested by PedCut2013_Segmentation dataset, the result shows that the UA-net can produce nice saliency map of pedestrians, and different interpolation methods have different quality evaluated by evaluation methods. After testing by UAV’s collected images, the saliency map can also be nice SOD results. These results show that UA-net is an applicable SOD structure for UAV to carry out the pedestrian recognition task.
Academic Writing with Corpora: A Resource Book for Data-Driven Learning (Book review)

Data-driven Learning (DDL), generally defined as the use of corpora for L2 language learning and teaching, has been touted, both theoretically and empirically, to be a promising pedagogical approach (see e.g., Boulton &amp; Cobb’s, 2017 meta-analysis); however, its use is still confined both geographically and contextually. Despite calls for endeavours to normalise corpus-based pedagogy in L2 classes, it is often acknowledged that a limitation of DDL is that it has not made serious inroads into the L2 classroom due to the lack of appropriate materials introducing teachers and learners to corpus-based learning. Nevertheless, efforts have been made to resolve this issue, and Academic Writing with Corpora: A Resource Book for Data-Driven Learning is a step in this direction. [First paragraph of review]
Analyzing the Impact of Information Security Awareness Training to the Employees of Telco Company XYZ

As a company that is operating in the telecommunication sector, XYZ must ensure that they have adequate capabilities to protect their company’s and customers’ sensitive data. Although various information security systems and processes are already in place, human resources still are the weakest link in cyber security. The new normal of Working From Home makes the threat even larger. Basically, Information Security Awareness (ISA) denotes whether or not users are aware of information security objectives. Using a phishing scenario, this study examined the level of ISA of XYZ employees and how ISA training might improve their awareness level. The simulation outcomes were compared to the results before and after they received ISA training on a percentage scale. The results showed a positive increase between before and after being given training. Employees who clicked on phishing URLs before training reached 31% reduced to 12% after training. Meanwhile, employees affected by phishing decreased from 24% to 4%. The study also revealed discovered that based on the nature of the job, employees who work at directorates who work more on non-technical matters have lower awareness when compared to employees who work at directorates who work more on technical work.
APPROACHES TO PRACTICAL ANALYSIS OF COMPUTING ALGORITHMS

The present work proposes a practical approach to determining the main types of algorithms, depending on their effectiveness in the appearance of the software code. Examples of analysis of the software code for computational complexity are given in the order of reducing the efficiency supplied as (in asymptotic designations): O(1), O(LogN), O(N), O(NlogN), O(N2), O(N2), O(N2), O(N3). The research task was to analyze the software code and specific conditions in which the algorithm refers to a particular type of computational complexity. The aim of analyzing the complexity of algorithms is to find the optimal algorithm for solving a specific problem. The criterion of optimality of the algorithm is chosen by the complexity of the algorithm, i.e., the number of elementary operations that must be performed to solve the problem using this algorithm. The complexity function is the ratio that connects the algorithm’s input data with the number of elementary operations. The paper contains a description of classical computational complexity that can be revealed by visual analysis of program code. The main types of computational complexity are (listed in descending order of efficiency) constant, logarithmic, linear, linear-logarithmic, quadratic, cubic. Also, methods for the determination of computational complexity are described. It is established that the main factors that can assess the algorithm’s computational complexity for the visual analysis of the software code are the presence of cycles, especially enclosed, reversibility of the algorithm, etc. Further research could usefully explore a method of semantic analysis of program code to predict the assessment of its computational complexity.
PRODUCT DEVELOPMENT AND ELIGIBILITY ASSESSMENT OF PICTORIAL METAPLAN FOR INTERACTIVE ENGLISH TEACHING IN 8TH GRADE JUNIOR HIGH SCHOOL

This study focuses on the development of instructional media using pictorial metaplan and provide eligibility assessment for the product. The use of pictorial metaplan media aims to increase interest in learning vocabulary as well as to directly apply of English speaking practice to students of 8th grade Junior High School. This type of research is using Research and Development method (R&amp;D). Direct trials was conducted on 1 media expert, 4 teachers and 7 students from 8th grade Junior High School. The implementation of the use of pictorial metaplan to the subjects of this study used a combination of the Total Physical Response (TPR) and Student-Centered Learning (SCR) methods. The results of this study are indicated by the total score of the product eligibility assessment that were obtained from the total conversion of the assessment from media expert, teachers and students. The total score of the media experts was 106, which meant in ‘very eligible’ category, the total score of the teacher was 81.6, which meant ‘eligible’ category and the total score of the students was 92.2, which meant ‘eligible’ category. Based on the results, pictorial metaplan is eligible to be a teaching aid for learning English, especially in speaking competence.
Immunohistochemistry usage profile in a Malaysian tertiary hospital's histopathology laboratory.

Immunohistochemistry (IHC) was commenced in 1986 at the Department of Pathology, University of Malaya Medical Centre, Kuala Lumpur and its usage has grown for the past 30 over years, hence it was felt that a review was timely in view of the scarcity of literature on IHC usage.All cases received by the Department of Pathology for histopathological examination between 1 July 2018 and 30 June 2019 were retrieved from the Laboratory Information System (LIS). All the IHC requests over this period were tabulated, with the exception of renal, muscle, rectal and nerve biopsies with their pre-defined algorithms for stains and cytological specimens. IHC stains performed solely for purpose of directing targeted treatment were also not included.Immunohistochemistry was performed in 2044 (21.1%) of the total of 9686 cases, with a total of 5969 IHC stains performed i.e. 2.9 (5969/2044) IHC stains per case. All 91 antibodies available were used at least once during the study. 14 histopathologists (5 with < 10-years and 9 with ≥ 10-years postgraduate specialist experience) reported on the cases with no significant difference (p=0.90) in their usage of IHC stains. Among the most common IHC stains used, requests for Ki67 and MNF116 showed higher standard deviations compared with p63, CK7 and S100 among the histopathologists. From the relatively higher standard deviation for Ki67 and MNF116 it appeared that there was a greater difference in the requesting pattern between histopathologists for these two antibodies.The rate of use of IHC in our centre seems compatible with that of an academic centre. Personal preferences of the histopathologists, rather than years of postgraduate specialist experience appeared to influence the rate of usage and choice of antibodies.
Discussion About the Middle School Education and Teaching Management Under the Concept of Innovative Development

In the management process of middle school education and teaching, the innovation and development concept is paying more and more attention.At present, with the continuous development of China’s education department, we also attaches importance to the development of innovative development concepts in education work.In the process of innovative development concept, it is necessary for relevant workers to face up to the new situation of development, study some new problems and create a new environment and formulate a new order for the whole education.Under the concept of innovative development, the concept of middle school development will improve students’ inner growth and development and personal comprehensive ability. Therefore, the current innovative development concept is of great help in the management of middle school education and teaching.
A Parallel, O(n) Algorithm for an Unbiased, Thin Watershed

The watershed transform is a powerful tool for morphological segmentation.Most common implementations of this method involve a strict hierarchy on gray tones in processing the pixels composing an image.This hierarchical dependency complexifies the efficient use of modern computational architectures.This paper introduces a new way of computing the watershed transform that alleviates the sequential nature of hierarchical queue propagation.It is shown that this method can directly relate to the hierarchical flooding.Simultaneous and disorderly growth can now be used to maximize performances on modern architectures.Higher speed is reached, bigger data volume can be processed.Experimental results show increased performances regarding execution speed and memory consumption.
Generation of Synthetic Data

Artificial intelligence is growing, but techniques like deep learning require more data than is usually available, especially in the medical context. Usually, the available data sets are not representative of reality, meaning that more samples have to be acquired, which is very costly. The demand for tools that can generate as much data as needed has increased. Traditional data augmentation tools are used to expand the available data, but they are not able to generate new data. The use of generative adversarial networks to generate synthetic data has proven revolutionary for big data as it increases the amount of available data without much cost. To this end, an adaptation of alpha-GAN for 3D MRI scans was developed to create a pipeline for generating as many synthetic scans of rat brains as needed. The applicability of the synthetic data was tested in a segmentation test and the realism by visual assessment.
A Contrastive Study on Linguistic Features between HT and MT based on NLPIR-ICTCLAS

This paper, with the aid of NLPIR-ICTCLAS, analyzes and compares original English texts and different translation versions of a philosophical text. A 1:6 English-Chinese translation corpus is applied to study the linguistic structural features of human translation (HT) and machine translation (MT). This study shows that the HT is characterized by more complicated language and complex sentences. At the same time, in the process of translation, compared with MT engines, human translator can intentionally avoid using too many functional words, and deliver grammatical structures and logical relations of sentences mainly by the meanings of words or clauses. The five MT versions share similarities in the use of notional words and functional words.
Optimization Measures of Educational Management in Vocational Colleges Under the Integration of Industry and Education

With the adjustment of China’s industrial structure, if vocational colleges want to cultivate high-quality talents needed &#x0D; by the society, they should follow the school running mode of industry education integration, adjust the talent training mode, &#x0D; and improve the level and effect of education management under the in-depth cooperation with enterprises. Based on this, this &#x0D; paper studies the optimization measures of educational management in vocational colleges under the integration of industry and &#x0D; education, and puts forward some targeted strategies for reference.
Providing quality mathematical training for students with different types of thinking and with different interests in conditions COVID-19

The aim of the study the article highlights that the process of teaching mathematics to non-mathematics students is complicated by the limited time of the educational process, low motivation of their cognitive activity, psychological barriers of students, assessment and self-assessment of their academic achievements, lack of non-standard tasks. Proposing ways to solve these problems will create conditions for enhancing the cognitive activity of such students in the process of learning mathematics in conditions COVID-19.
Latent Space Explanation by Intervention

The success of deep neural nets heavily relies on their ability to encode complex relations between their input and their output. While this property serves to fit the training data well, it also obscures the mechanism that drives prediction. This study aims to reveal hidden concepts by employing an intervention mechanism that shifts the predicted class based on discrete variational autoencoders. An explanatory model then visualizes the encoded information from any hidden layer and its corresponding intervened representation. By the assessment of differences between the original representation and the intervened representation, one can determine the concepts that can alter the class, hence providing interpretability. We demonstrate the effectiveness of our approach on CelebA, where we show various visualizations for bias in the data and suggest different interventions to reveal and change bias.
Secure Cloud Data Storage Using Hybrid Cryptography

Abstract: Nowadays a huge number of organizations use the cloud for storing Big data. And some of the sectors have sensitive data, for example, Military, Agencies, Colleges, Industries, etc. The data can be retrieved when the user requests it. And others can also access the data. Cloud computing provides a lot of features with affordable prices and knowledge accessibility by using the Internet. Security is the main concern in the cloud computing environment as clients store secret information with cloud providers, but sometimes these providers may not be trustful. Splitting data in a safe approach while protecting data from an untrusted cloud is still a demanding topic. In this paper we ensure the right approach for data security and privacy, using Blowfish, and RSA/SRNN algorithms. Keywords: Cloud Computing, Data storage, RSA/SRNN algorithm, Blowfish algorithm, Data storage.
News Location Classification

Every day there are a lot of things that happen around the world. There are various ways to record every event that is occurring around the world, such as news, blogs, and articles. Over the past few years, there are multiple news available on every event that has occurred. It adds to the size of information that is available for human beings to consume. People are, moving from paper-based newspapers to digital newspapers to get their daily feed of news and digitization has a role to play in this behaviour. These days every person is preoccupied with a lot of work, online and offline, as mentioned earlier the amount of information is being increased with every passing day. For this reason, people are only interested in news that match their interests. A large amount of data in the form of text is available online, hence its classification based on its hidden features can lead to the better recommendation of news to individuals. In this research work, we have used focus area and temporal features to classify news using a Convolutional Neural Network (CNN). The results of the proposed methodology in the form of precision, accuracy, recall, and F1-Score show that these features indeed can be used for recommender systems.
Research on construction of intelligent information Service Platform based on educational function of university library

With the continuous development of information-based big data era, intelligent information service has been widely used in various fields. University library service is also facing new opportunities and challenges in this process, and intelligent library is emerging at the historic moment, this paper bases its research subject on the literature concerning "College library education and information service platform" from 1982 to 2020 in CNKI database, deeply discusses the construction mode of intelligent information service platform of university libraries, and puts forward effective suggestions to provide a solid basis for improving the ability and level of intelligent teaching and learning of university libraries.
Application of the ant colony algorithm for solving the job shop problem

The ant colony algorithm was first introduced by M. Dorigo, V. Maniezzo and A. Colorni in 1991. This algorithm is based on the behavior of a real ant colony when searching for food. The main area of application of the algorithm is the problem of combinatorial optimization. This paper describes the implementation of the algorithm, setting the parameters and considers its effectiveness in solving the job shop problem.
A Comparative Analysis of Agile Methods and the Capacity Maturity Model Integration (CMMI)

Quality issue is an important aspect of system development which is defined by a range of plausible elements such as correctness, efficiency, scalability, modularity, maintainability, speed etc. To provide better quality of software than the ones offered by the usual traditional approaches of software development process, new methods like agile methodology was introduced. However, since its introduction, there have been keen contentions as to whether agile methodology offers more advantages than a typical traditional methodology or its numerous “flavours”- that is, a methodology which evolved from a typical traditional approach e.g. the Capacity Maturity Model integration - CMMI. Recent works to determine best practices addressed by three Methodologies shows that both agile and the Capacity Maturity Model integration are now widely used methods in system development process. However, they make different but unique contributions to overall project quality control. Here in this work (using relevant previous works as background), analysis of these two great methods- Agile and CMMI is presented by taken into consideration the fundamental components of both methods, their views about quality, perspective from project management and software development, contributions to overall project quality control and concluded on compatibility of the two methods within the same project. Findings from this work and existing data showed that both can be used in same project to get desirable quality.
THE RESEARCH ON SCHOOL-BASED LISTENING TEST ASSESSMENT BASED ON COGNITIVE ABILITIES

Listening assessment is an important part of language assessment. Learners with different levels of cognitive abilities may perform differently in the listening test. The research is to analyze the factors of cognitive abilities affecting listening process. The results illustrate mastering enough language knowledge and some kinds of listening skills is helpful to the learners. The research can also provide some suggestions to teaching and learning.
IEEE VR 2022

The 2022 VGTC Virtual Reality Best Dissertation Award goes to Nami Ogawa, a 2020 graduate from the University of Tokyo, for her dissertation entitled, “Effect of Self-Avatar Anthropomorphism on Perception and Behavior in Virtual Environments.”
A Study on the Current Situation of English Education for Preschool Children in Non-native Language Context

The state hopes to further improve the comprehensive quality of the young talents in learning English for preschool &#x0D; children in a non-native language environment, so as to meet the requirements of the state reform in the future development, the &#x0D; English teaching of Social Forces, and even the English teaching of Preschool Children, has already met the basic conditions for &#x0D; development under the guidance of the state policy and relevant policies, but there are still some problems during this period, &#x0D; therefore, the study of this topic is in line with the needs of the development of English Education for Preschool children today, &#x0D; and in the face of the voices from all walks of life who question preschool children’s English learning, through this research, the &#x0D; teaching team can improve their teaching methods to achieve the goal of efficient classroom.
Dog Noseprint Identification Based on Textural Features of Scaly Blocks

Because dog noseprints are equivalent to human fingerprints and have unique characteristics, this study proposes a dog identification technology based on dog noseprints for identifying and managing stray animals. This study presents three processing stages. The first stage uses YOLOv3 to detect the dog's nose and the nostril regions. The second stage involves enhancing the contrast of the image and the contour of the scaly block using the multi-scale line detector. The third stage is to extract the shape and spatial features of the scaly block and use them to identify dogs. This study included 276 dogs from multiple animal families and public shelters in Taiwan. The dataset was randomly divided into three groups to determine the best parameters for matching the dog noseprint via the experiment. The accuracy (ACC) of each dog identification group exceeded 97.83%, thereby proving that the parameter-matching method proposed herein offers high stability. In an additional experimental dataset of dog noseprint images used to perform dog identification, the ACC of the proposed method exceeded 90.22% in the top 1 and 94.57% in the top 3. In addition, the ACC results of the different groups demonstrate that the proposed method can consistently obtain high accuracy in dog identification.