Reviewerly/exHarmony huggingface dataset:
A Study on the Effect of Learning of Connective endings ‘(eu)’ or ‘(eu)’ on Korean Writing

이 연구는 한국어 쓰기 교육에서 문어체 연결어미 학습의 필요성을 제기하고 문어체 연결어미에서 ‘(으)나’와 ‘(으)며’를 활용한 쓰기 결과물의 효과를 검증하는 데 목표를 두고 있다. 먼저 기존 연구와 한국어 교재, 한국어능력시험의 쓰기 답안, 한국어 학습자의 쓰기 결과물을 분석하였다. 그 결과 기존 연구에서 전체 항목의 연결어미의 연구는 많이 진행되었으나 연결어미의 위계화나 등급화에 치중하여 목록을 선정하는 데만 그쳤을 뿐 문어체 연결어미에 대한 언급은 거의 없었음을 밝혔다. 그리고 한국어 교재, 문법서 등을 상세하게 분석한 결과 ‘(으)며’와 ‘(으)나’가 제시된 등급별 난이도가 일치하지 않는 것을 알 수 있었다. ‘(으)며’는 초급, 중급, 고급에 모두 제시되어 있었고 ‘(으)나’는 중급과 고급에 제시되어 있었다. 또한 쓰기 답안에도 ‘(으)나’, ‘(으)며’의 노출 빈도가 높음을 확인하여 한국어 학습자들을 위한 쓰기 교수에 문어체 연결어미의 명시적 제시가 필요하다는 것을 알 수 있었다. 그리고 한국어능력시험 쓰기 53번 문항으로 실험을 실시하였다. 이를 통해 문어체 연결어미 ‘(으)나’, ‘(으)며’의 명시적 교수가 학습자들의 쓰기 결과물에 유의미한 영향을 미침을 확인하였다. 이 연구는 한국어 학습자들의 쓰기에 실제적으로 필요한 문어체 연결어미를 활용하여 학습자들의 쓰기 능력을 향상시키는 데 도움이 될 것이라고 본다.The purposes of this study were to check a need for Korean writing based on two literary-style connective endings ‘(eu)na’ and ‘(eu)myeo’ and test the effects of their writing outcomes. For these purposes, the investigator first examined in details model writing answers in previous studies, teaching materials for Korean, and Test of Proficiency in Korean. The results show that despite much progress in the research of connective endings across all items, there were few mentions about literary-style connective endings due to the focus on the hierarchies or grades of connective endings to make their list. The analysis results of teaching materials and grammar books for Korean in details reveal that there was no consistency of difficulty level among the grades in which ‘(eu)myeo’ and ‘(eu)na’ were presented. While ‘(eu)myeo’ was presented in all of the elementary, intermediate, and advanced levels, ‘(eu)na’ was presented only in the intermediary and advanced level. In addition, the exposure frequency of ‘(eu)myeo’ and ‘(eu)na’ was high in model writing answers, as well, which raises a need for the explicit provision of literary-style connective endings in writing instructions for learners in Korean. And the experiment was conducted with question 53 of Korean proficiency test. An experiment was conducted to confirm that the explicit instruction of literary-style connective endings ‘(eu)na’ and ’(eu)myeo’ had significant effects on the writing outcomes of learners and offer implications for future educational plans. Focusing on literary-style connective endings actually needed in the writing of learners in Korea, the present study provides findings helpful for the improved accuracy of their writing abilities.
ICT-based Information System Operational Stability Diagnostic Evaluation Model for Quantitative Evaluation

With the development of ICT technology connected to the world, information systems connecting countries and companies have been developed. However, in the event of cyberattacks or disruption of information systems, national infrastructure, disruption, and adverse impacts on corporate businesses are expected. In particular, with the development of the fourth revolutionary technology, improvements and changes in the current ISO/IEC 20000, ITIL, and operational supervision of information systems are needed. In this paper, we analyze the limitations of existing models of ISO/IEC 20000 certification and operational stability of ICT-based information systems and design stability diagnosis and evaluation models of ICT-based information systems. We propose and compare stability diagnosis and evaluation models for the operational supervision of the designed information system. It verifies that the composition of the improved diagnosis and evaluation items can be actually used to secure the stability of ICT-based information system operation. The results of this paper contribute to securing the stability of ICT-based information system operation and will be used as basic data for preventing obstacles and accidents.
A Parameterized Harmony Model for Automatic Music Completion

In this paper, we propose harmony generation according to user input parameters based on fundamental harmonic properties as a new approach to the problem of automatic music completion (the automatic generation of music pieces from any incomplete fragments of music), which we have proposed as a generalization of conventional music information problems such as automatic melody generation and harmonization. The goal is enabling possibly inexperienced users to turn partial musical ideas into complete pieces for quick exploration of musical possibilities. Therefore, the focus lies on response to intuitive modes of input, allowing the user to intentionally shape the generated music. To that end, parameterized harmony generation utilizes fundamental musical principles which are understandable by both user and computer, instead of conventional probabilistic models (which imply imitation of a style or data corpus) or restrictive rule-based models. We apply this approach to the automatic completion of four-part chorales, using the harmonic concepts of active tones, cadences and key modulation. We implemented a system that jointly optimizes harmony and voicing considering both user input and music theory. Our system was evaluated by a professional composer and in a subjective evaluation experiment. We also invite the reader to use our system at http://160.16.202.131/automatic_music_completion.
FACTORS AFFECTING WORK MOTIVATION OF OFFICERS AND LABORERS AT VIETNAM NATIONAL UNIVERSITY OF FORESTRY, SOUTHERN CAMPUS

The study aims to identify the main factors affecting the motivation of officials and employees at the Vietnam National University of Forestry, Southern Campus. The research team collected primary data through the survey of 215 officials working at Vietnam National University of Forestry, Southern Campus. The research methods used are descriptive statistics, exploratory factor analysis (EFA), scale test (Cronbach’s Alpha), regression correlation analysis, and testing of the research hypotheses. As a result, 5 factors have been found to be affecting employees' working motivation, including: promotion opportunities and career development; wages, bonuses and benefits, stable jobs; leader; friendship colleague. On this basis, the study proposes a number of recommendations to improve the motivation of school officials.
DYNAMICS OF STUDENTS’ SELF-REALISATION OF IN THE COURSE OF EDUCATION

The article discusses the problems of&nbsp;self-realisation. The results of the study of students’&nbsp;self-realisation&nbsp;and the actual dynamics of&nbsp;self-realisation&nbsp;during the educational process in the university are analyzed. The authors present the data on the changes in the direction of&nbsp;self-realisation&nbsp;of the students.
Bridging Anaphora Resolution as Question Answering

Most previous studies on bridging anaphora resolution (Poesio et al., 2004; Hou et al., 2013b; Hou, 2018a) use the pairwise model to tackle the problem and assume that the gold mention information is given. In this paper, we cast bridging anaphora resolution as question answering based on context. This allows us to find the antecedent for a given anaphor without knowing any gold mention information (except the anaphor itself). We present a question answering framework (BARQA) for this task, which leverages the power of transfer learning. Furthermore, we propose a novel method to generate a large amount of "quasi-bridging" training data. We show that our model pre-trained on this dataset and fine-tuned on a small amount of in-domain dataset achieves new state-of-the-art results for bridging anaphora resolution on two bridging corpora (ISNotes (Markert et al., 2012) and BASHI (Roesiger, 2018)).
New educational technologies as a means of cross - regional cooperation in the field of food raw material and product safety control

International e-learning resource in the field of food product quality and veterinary disease control based on Government requirements of the European Union and Eurasian Economic Union has been created and tested. This resource consists of the one general professional cycle and five professional modules, about 60% of them are in distance e-learning format. The modularity of the educational resource allows the employer or students to choose a training program format, as well as the amount of distance learning or classroom training hours for different groups of specialists in the field of food quality and veterinary control: chiefs of quality control center or laboratories, veterinarians, microbiologists, specialists of veterinary diagnostics laboratories, chemical engineers. The involvement of participants from EU and EEU-countries in the educational process is important for the development of interregional and international activities, the creation of the unified legal framework in the field of food security in many countries.
Modeling the Process of Development and Creation of the Professional Training Content for Applied Bachelors

The article considers the issue of modeling the process of developing the content of professional training of applied bachelors from the perspective of system analysis and the life cycle of systems. Literature sources analysis revealed the absence of works in research topic. The relevance of the article topic is determined by the contradiction between the need for effective training of applied bachelors and the lack of scientific and pedagogical bases for such training. From the positions of system analysis, the article suggests basic models of the process for developing the professional training content for applied bachelors: a phased model, a phased model with feed-back, a cyclic model. For each proposed model, distinctive features (advantages, disadvantages), scope and conditions for effective use have been revealed. The proposed models can be considered as a basis for optimizing the professional training of applied bachelors.
Web-Based Sales Information Systems in Cellular Shop

The promotion management and managing data that is done manually vulnerable to the weaknesses, such as errors and delays in sales, recording customer data, recording ordering data and storing data manually will be difficult when the data is needed. This condition is also experienced by Bastian cell.Therefore Ecommerce is a new paradigm in thebusiness world that uses online services. Many items can be offered through e-commerce such as selling mobile phones and mobile accessories online by using the web. With this system, the customers do not have to come to the store and can order it at any time without a time limit.Mobile Sales Information System and Web-based Mobile Accessories on Bastian Cell were designed by using Macromedia DreamWeaver, PHP, MySql, Xampp, and Photoshop. By designing this website online, it is expected to attract thecustomer interest and can be an effective sales medium.
Construction of <i>s</i>-extremal optimal unimodular lattices in dimension 52

An s-extremal optimal unimodular lattice in dimension 52 is constructed for the first time. This lattice is constructed from a certain self-dual F5-code by Construction A. In addition, as neighbours of the lattice, two more s-extremal optimal unimodular lattices are constructed.
MolGANの拡張による文章グラフを用いた文章生成手法の提案

Deep learning solves many classification problems. However, it is difficult to solve problems with imbalanced data. Therefore, the data volume is increased for the purpose of balancing. This is called data augmentation. Generally, the method of image data augmentation uses noise addition, rotation, and the like. Recently, images are generated using the generative adversary network: GAN. However, data augmentation methods are difficult in natural language processing. In addition, manual data augmentation is burdensome and requires mechanical methods. Mechanical text augmentation is more difficult than images. Because it is difficult to analyze the feature of sentences. This paper proposes a sentence generation method by machine learning focusing on graph information. The graph information obtained by CaboCha is processed by graph Convolution. The proposed GAN was used to generate sentences, and then three experiments were performed to evaluate its effectiveness.
Hirons Library & Learning Center: Teaching & Learning with Technology Training Room at GBC: About the TLT Room @ GBC

This guide is for the Teaching & Learning with Technology (TLT) space at GBC which is managed by the HLLC & OIRT.
«caso Luigi di Ruscio»

The recently published anthology of Luigi Di Ruscio’s works (Poesie scelte: 1953-2010) reintroduces this author to Italian readership. Born in Fermo and emigrated to Oslo, following his debut as a neorealist he remained removed and detached from contemporary literary movements. As a poet and novelist Luigi Di Ruscio did not enjoy a large audience in his lifetime. The operation carried out with his posthumous publications constitutes a rediscovery of an otherwise minor author. Precisely by virtue of Di Ruscio’s placement amongst minor poets and because of the critical productivity of this category, this paper proposes to reevaluate the texts within the anthology by reinserting them in their historical context. This will allow us to ascertain the presence of alternative paths to already codified practices of poetic writing which are applicable or recognizable today.
Use of Activation Values and Weight Space by Activation and Synaptic Dynamics for Network Reliability Measurement

The problem which is occurring nowadays for networks is reliability as the networks are becoming more wide and complex.Reliability is the ability of a network to carry out a desired operation such as "communication".It is one of the most important aspects of networks for solving complex problems.The network should have minimum failure and should be cost-effective.The solution can be attained by using artificial neural network.An Artificial Neural Network is a highly simplified model of the structure of the biological neural network.It consists of interconnected processing units.The weight present between the connections is used for activation value.The inputs or outputs of the artificial neural networks could be discrete or continuous and also could be deterministic or stochastic.The activation dynamics determine the activation values of nodes.Synaptic dynamics is to adjust the weights in order to store given patterns in the network.This paper presents different measures of the reliability of the network by using Artificial Neural Network.The evaluation of the network is been done by studying various approaches to reliability measurement.The aim of the work is to present an optimized neural network approach to improve reliability with a high learning rate.
Full Reference Mesh Visual Quality Assessment Using Pre-Trained Deep Network and Quality Indices

In this paper, we propose an objective quality metric to evaluate the perceived visual quality of 3D meshes. Our method relies on pre-trained convolutional neural network i.e VGG to extract features from the distorted mesh and its reference. Quality indices from well-known mesh visual quality metrics are concatenated with the extracted features resulting a global feature vector. this latter is used to learn the support vector regression (SVR) to predict the final quality score. Experimental results from two subjective databases (LIRIS masking database and LIRIS/EPFL general-purpose database) and comparisons with seven objective metrics cited in the state-of-the-art demonstrate the effectiveness of the proposed metric in terms of the correlation to the mean opinion scores across these databases.
Faster Stochastic Quasi-Newton Methods

Stochastic optimization methods have become a class of popular optimization tools in machine learning. Especially, stochastic gradient descent (SGD) has been widely used for machine learning problems such as training neural networks due to low per-iteration computational complexity. In fact, the Newton or quasi-newton methods leveraging second-order information are able to achieve a better solution than the first-order methods. Thus, stochastic quasi-Newton (SQN) methods have been developed to achieve the better solution efficiently than the stochastic first-order methods by utilizing approximate second-order information. However, the existing SQN methods still do not reach the best known stochastic first-order oracle (SFO) complexity. To fill this gap, we propose a novel faster stochastic quasi-Newton method (SpiderSQN) based on the variance reduced technique of SIPDER. We prove that our SpiderSQN method reaches the best known SFO complexity of $\mathcal{O}(n+n^{1/2}\epsilon^{-2})$ in the finite-sum setting to obtain an $\epsilon$-first-order stationary point. To further improve its practical performance, we incorporate SpiderSQN with different momentum schemes. Moreover, the proposed algorithms are generalized to the online setting, and the corresponding SFO complexity of $\mathcal{O}(\epsilon^{-3})$ is developed, which also matches the existing best result. Extensive experiments on benchmark datasets demonstrate that our new algorithms outperform state-of-the-art approaches for nonconvex optimization.
Crowd Counting via Multi-Column Deconvolution Networks

Abstract The difference in distance between the crowd and the camera results in different scales of the population in the image. In the study of crowd counting, this paper first proposed the method of adding deconvolution to multi-column network for the problem that the population size in the image does not affect the accuracy of counting, namely multi-column deconvolution neural network (Mutil-Column Deconvolutinal Neural Network, MCDNN). Compared with the results of the Multi-Column Convolutional Neural Network (MCNN) on the ShanghaiTech dataset, the MSE is reduced by 42.8 and the MAE is reduced by 26.6. On the UCF_CC_50 dataset, the MSE is reduced by 109.4 and the MAE is reduced. 86.3. Compared with other advanced methods, the proposed MCDNN network achieves better performance on the data set, effectively solves the problem of inaccurate population counting accuracy due to scale changes, and can generate a better quality density map.
MODIFIKASI RUANG STERILISASI MEDIA TANAM JAMUR UNTUK MENGURANGI KEGAGALAN PRODUK JAMUR TIRAM

&#x0D; &#x0D; &#x0D; &#x0D; Sterilization room of mushroomss baglog is.function to kill bacteria, or any type of life in the mushrooms baglog so when the planting of oyster mushrooms, not wild mushrooms are disturbitg. Most of the oyster mushroom farmers in Indonesia are still traditional mushroom farmers. They sterilize the baglog based only on experience – previous experience. Mushroom farmers during the sterilization process using sterilization room shaped pan with a total time of sterilization during the nine hours, to reach 90.7"C temperature baglog takes eight hours. Thus are requiring a lot of fuel which ultimately adds to the cost of production. By doing this modification, aiming to reduce the failure rate and save fuel in the process of sterilization. From the results of the modification and testing can reduce the failure rate on mushroom growing media up to 65,48% and can save fuel up to 66,67%.&#x0D; &#x0D; &#x0D; &#x0D;
A Review-based Transformer Model for Personalized Product Search

In product search, customers make purchase decisions based on not only the product relevance but also their personal preferences. Despite its great potential, recent analysis on commercial logs shows that personalization does not always improve the quality of product search. Most existing personalized product retrieval models, however, cannot control whether to apply personalization or not under different contexts. From the perspective of model design, the typical paradigm of existing models is to represent and match user intents and items in the semantic space, where finer-grained matching is totally discarded and the ranking of an item cannot be explained further than just user/item level similarity. In addition, while some models in existing studies have created dynamic user representations based on search context, their representations for items are static across all search sessions. This makes every piece of information about the item always have equal importance in representing the item during matching with various user intents. Given the above limitations,we propose a review-based transformer model (RTM) for personalized product search, which encodes the sequence of query, user reviews, and item reviews with a transformer architecture. RTM can perform adaptive personalization with different accumulative attention weights on user reviews in various search sessions. Moreover, review-level matching is conducted between the user and item, where each reviewhas a dynamic effect according to the context in the sequence. This makes it possible to identify useful reviews to explain the scoring. Experimental results show that RTM achieves significantly better performance than state-of-the-art personalized product search baselines.
PENGGUNAAN KAIDAH BAHASA INDONESIA DALAM PENULISAN SKRIPSI MAHASISWA FAKULTAS ILMU BUDAYA UNIVERSITAS BRAWIJAYA

The use of Indonesian rules in writing student thesis is very important, but in some cases errors are still found. The omission of errors that will continue to have a negative impact on the quality of thesis/scientific work of students, and can further reduce the authority of the institution. This is the basis of this research. The research method used is descriptive qualitative research. The results showed that the misuse of Indonesian rules usage in the thesis writing of the Faculty of Cultural Sciences, University of Brawijaya Malang was relatively high. Therefore, there needs to be an effort from the leadership to follow up these findings by paying attention to the lecturer’s competencies of Indonesian general subjects lecturer, both through increasing hours of study and providing courses for final semester students.
BiFNet: Bidirectional Fusion Network for Road Segmentation

Multi-sensor fusion-based road segmentation plays an important role in the intelligent driving system since it provides a drivable area. The existing mainstream fusion method is mainly to feature fusion in the image space domain which causes the perspective compression of the road and damages the performance of the distant road. Considering the bird's eye views(BEV) of the LiDAR remains the space structure in horizontal plane, this paper proposes a bidirectional fusion network(BiFNet) to fuse the image and BEV of the point cloud. The network consists of two modules: 1) Dense space transformation module, which solves the mutual conversion between camera image space and BEV space. 2) Context-based feature fusion module, which fuses the different sensors information based on the scenes from corresponding features.This method has achieved competitive results on KITTI dataset.
Blakemore, John Hewett - Biographical entry - Index to the AMA archive

Blakemore, John Hewett - Biographical entry - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
Super-resolution of Defocus Blurred Images

Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, including atmospheric and motion blur that may be applied to low resolution images. The research done in this paper provides a super-resolution image from some low-resolution images suffering from blurriness due to defocus. In contrast to motion blur kernels that are sparse, the defocus blur kernel is non-sparse and continuous. Because of the continuity property of defocus blurring kernel, in this paper, we bound the gradient of blurring kernel using proper regularizers to satisfy this property. Experimental results on synthetic data demonstrate the effectiveness of the proposed method to produce high resolution and de-blurred images from some blurry low-resolution images.