Reviewerly/exHarmony huggingface dataset:
A Practical Approach to Chinese Emergency Event Extraction using BiLSTM-CRF

For enhancing situation awareness in the Internet Era, it is of great significance to automatically extract emergency events from online news reports. However, existing approaches to this task are mainly rule- or pattern-based, and hence suffer from poor generalization. Though recent researches on event extraction (EE) have explored deep neural models (DNM) and achieve impressing results, they are mostly tested using the benchmark dataset ACE2005, which contains no emergency events, and not well suited for practical applications as take as input the entity labels of candidate arguments provided by that dataset. Also, these methods ignore the inter-dependency between triggers and arguments, which could be useful for EE. Hence, this article proposes a DNM for Chinese emergency EE, which uses BiLSTM (bidirectional Long Short Term Memory), pretrains domain-specific word embeddings, and adopts CRF (Conditional Random Field) to capture the interplay between triggers and arguments. Extensive experiments, conducted on the Chinese Emergency Corpus, prove the effectiveness of the proposed model, and show that it outperforms other state-of-the-art methods substantially.
Dynamic Texture Map Based Artifact Reduction For Compressed Videos

This paper proposes a method of artifact reduction in compressed videos using dynamic texture map together with artifact maps and 3D - fuzzy filters. To preserve better details during filtering process, the authors introduce a novel method to construct a texture map for video sequences called dynamic texture map. Then, temporal arifacts such as flicker artifacts and mosquito artifacts are also estimated by advanced flicker maps and mosquito maps. These maps combined with fuzzy filters are applied to intraframe and interframe pixels to enhancecompressed videos. Simulation results verify the advanced performance of the proposed fuzzy filtering scheme in term of visual quality, SSIM, PSNR and flicker metrics in comparisionwith existing state of the art methods.
METHODS OF ORGANIZING SECONDARY SCHOOL STUDENTS PROJECT ACTIVITY IN TEACHING NATURAL SCIENCES

Problem and goal. The article analyzes and formulates the problem of organizing secondary school students’ project activity in teaching natural sciences. The purpose of the article is to work out and substantiate the methods of organizing secondary school students’ project activity in teaching natural sciences. The research methodology is based on normative-legal documents of General education, analysis and generalization of domestic and foreign scientists research works as well as advanced and mass-scale experience of biology, chemistry and physics teachers. Results. Types of educational projects, stages of project activity of the teacher and secondary school students in teaching natural sciences are defined. The structure of the lesson-project is analyzed and generalized. The specificity of subjects and presentations of educational projects in the field of natural science education is revealed. The results of checking the effectiveness of the recommended methods of organizing secondary school students’ project activity in teaching natural sciences are presented. Conclusion. Project activity contributes to the formation of socially significant position of students, allows them to create educational products, acquire skills of planning and organizing their own activities, which ultimately helps them to implement their creative abilities and develops individual qualities of the person. The effectiveness of organizing project activity of secondary school pupils in teaching natural sciences is proved by the results of pupils’ academic performance progress, the formation of natural science thinking and growth of interest in learning activities.
TEACHING MATERIALS FOR CHILDREN LITERATURE BY USING A PROCESS APPROACH

Children's literature teaching materials are materials or learning materials are arranged systematically used teachers, lecturers and instructors and students, as well as students in KBM used for children's literature learning. Children's literature teaching materials mainly deal with literature related to children. both in terms of theme, plot, content, and mandate Children's literature teaching materials are usually widely used by students in the field of literature of children and lecturers of child literature. A process approach is a teaching-learning approach that leads to the development of basic physical and social skills to discover facts and concepts as well as developing attitudes and values through teaching and learning processes that have enabled students to grow a number of processes. Process approach is one way to practice language skills especially on writing skills. Children's literature materials are developed using process skills. This is done for the process of learning literature. Process skills can facilitate a person in making a literary work. Likewise with the literary work of children. one can create a literary work of a child by using a process skill. Children's literature teaching materials based on the literature teaching materials. This teaching material is designed by combining process skills with children literature materials. This instructional material is expected so that students can make beautiful children's literature and can be enjoyed by all society and not only among children
FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BELI PAKAIAN SYAR’I (STUDI KASUS MAHASISWI UIN ANTASARI BANJARMASIN)

This research analyzes factors that influence the buying interest of female students in sharia clothing, namely price, trends and religiosity. This research was conducted with a quantitative approach with the sampling technique used is proportional stratified sampling. The research data obtained were analyzed using the Multiple Liner Regression Analysis technique with the help of the SPSS version 22 program. This study produced findings: First: the independent variables in this study consisted of price (X1), trend (X2) and religiosity (X3) simultaneously influences the buying interest (Y) of syar'i clothing for female students of UIN Antasari Banjarmasin with a Fcount value of 67.900 greater than the Ftable value of 1.19 (67.900&gt; 1.19) and a significant F value of 0.000 less than an α value of 0 , 05 (0,000 &lt;0.05) while partially each of the three variables, namely the price variable (X1), trend (X2) and religiosity (X3) affect the interest in buying sharia clothes in UIN Antasari Banjarmasin students. Second: religiosity is the most dominant variable partially influencing the buying interest of shari'a clothing for students of UIN Antasari Banjarmasin in accordance with the t test, this is evidenced from the unstandardized coefficients of 0.467 and standardized coefficients of 0.503 and a sig level of 0.000.
Trait Data Integration from the Perspective of a Data Aggregator

The Encyclopedia of Life currently hosts ~8M attribute records for ~400k taxa (March 2019, not including geographic categories, Fig. 1). Our aggregation priorities include Essential Biodiversity Variables (Kissling et al. 2018) and other global scale research data priorities. Our primary strategy remains partnership with specialist open data aggregators; we are also developing tools for the deployment of evolutionarily conserved attribute values that scale quickly for global taxonomic coverage, for instance: tissue mineralization type (aragonite, calcite, silica...); trophic guild in certain clades; sensory modalities. To support the aggregation and integration of trait information, data sets should be well structured, properly annotated and free of licensing or contractual restrictions so that they are ‘findable, accessible, interoperable, and reusable’ for both humans and machines (FAIR principles; Wilkinson et al. 2016). To this end, we are improving the documentation of protocols for the transformation, curation, and analysis of EOL data, and associated scripts and software are made available to ensure reproducibility. Proper acknowledgement of contributors and tracking of credit through derived data products promote both open data sharing and the use of aggregated resources. By exposing unique identifiers for data products, people, and institutions, data providers and aggregators can stimulate the development of automated solutions for the creation of contribution metrics. Since different aspects of provenance will be significant depending on the intended data use, better standardization of contributor roles (e.g., author, compiler, publisher, funder) is needed, as well as more detailed attribution guidance for data users. Global scale biodiversity data resources should resolve into a graph, linking taxa, specimens, occurrences, attributes, localities, and ecological interactions, as well as human agents, publications and institutions. Two key data categories for ensuring rich connectivity in the graph will be taxonomic and trait data. This graph can be supported by existing data hubs, if they share identifiers and/or create mappings between them, using standards and sharing practices developed by the biodiversity data community. Versioned archives of the combined graph could be published at intervals to appropriate open data repositories, and open source tools and training provided for researchers to access the combined graph of biodiversity knowledge from all sources. To achieve this, good communication among data hubs will be needed. We will need to share information about preferred vocabularies and identifier management practices, and collaborate on identifier mappings.
Comparative Analysis of Applications and Disbursements of Loans to Beneficiaries by Bank of Agriculture in Anambra State, Nigeria

The study investigated the comparative analysis of loan applications and disbursements to large and small scale farmer beneficiaries of Bank of Agriculture from 2010-2016 in Anambra State, Nigeria.The specific objectives were to ascertain the socio-economic characteristics of the large and small scale farmer beneficiaries, to estimate the total amounts of applications and disbursements to large and small farmer beneficiaries of BOA loans and constraints militating against loan administration by BOA staff.A multistage sampling procedure involving purposive and random sampling methods were used to select 256 respondents for the study.Data were collected from both primary and secondary sources.Primary data were collected using two sets of questionnaire; one for the farmers and the other for the bank officials while secondary data were sourced from loan transaction records in the headquarters and branch offices of BOA in the State.Collected data were analyzed using descriptive statistics technique.Findings indicated that the large scale farmers were more advanced in age, more educated, had higher years of farming experience, number of persons in the household and number of males among them than the small scale farmers, who, however, were better at repayment.Majority (60.00%) of applications and 60.33% of disbursements to the large scale farmers were for poultry and fish production while the small scale farmers' most (53.28%)applications and disbursements (53.26%) were for the production of crops.The most serious constraints to loan administration by the bank staff were low repayment rate, inadequate fund for lending, insufficient staff for credit administration, inadequate collateral provision and loan diversion by beneficiaries.The provision of more funds, more skilled staff, and adequate logistics to the BOA by government, timely disbursed of approved amount, minimization of bureaucratic procedure involved in the administration of the facilities by the BOA and formation of more cooperative groups by the beneficiaries were recommended.
EXPERIENCES OF INTEGRATING PRESENTATION SKILLS AND TEAMWORK SKILLS IN TEACHING THE HO CHI MINH THOUGHT SUBJECT AT TRA VINH UNIVERSITY

Integrating presentation skills and teamwork skills into teaching The Ho Chi Minh Thought subject has brought about practical effects in teaching and learning of teachers and students at Tra Vinh University at present, such as: students are more actively in searching materials, confidently in showing their abilities in front of the crowd, in expressing assertiveness and flexibly in using each problem that the teacher has set, the class more dynamic and students’ psychology is very comfortable when the subject has applied soft skills integration method. Besides, the cooperation of both teachers and students, the duration of subjects are also issues that need to be considered when integrating this method. Therefore, the application of integrating soft skills into the teaching specialized knowledge is essential, where each teacher and student needs to demonstrate his or her role and bravery in order to fulfill the task.
SOFTWARE COMPLEXITY TOPICS THROUGH THE LENS OF DESIGN PATTERNS

The scientific literature has paid limited attention to design patterns for software complexity.This paper compares design patterns and software complexity in order to identify trends of research.For this purpose, we assess the strengths and weaknesses of software complexity scientific articles through the lens of design patterns.We have reviewed 1068 papers via latent dirichlet allocation technique (LDA) for our work.We found that existing software complexity paths disproportionate emphasis in how software complexity can benefit design patterns instead on how contributions to design patterns can benefit software complexity.
Implementasi Router Mikrotik dan Modem Mifi Smartfren sebagai Backup Akses Data dengan Menggunakan Sistem Failover

Along with the advancement of technology in the telecommunications sector, every government or private agency or office already has internet access. However, there are still a few offices that use this failover system that can support community services as is the case at the Makassar Ministry of Religion. This study aims to determine the configuration, performance and efficiency of the failover system. The method used to test the proxy tool and failover system to all users or clients contained in the office of the Ministry of Religion of Makassar, then carried out a trial of the system and then do a comparison of the number of users or clients contained in ISP 1 whether ISP 2 can backup all user or client contained in ISP 1, the results of the comparison failover system runs as expected and all users or clients contained in ISP 1 can be backed up properly by ISP 2 and it can be concluded that performance and efficiency in failover system usage and Smartfren as an ISP 2 is very helpful to maximize service to the community .
AN ANALYSIS OF WRITTEN ERRORS; A CASE OF SECOND SEMESTER STUDENTS OF ENGLISH

Errors are envitable happen during the process of learning a language. Students of English majoring in UIN A Antasari also frequently make errors in their witten respon during reading comprehension class. By analying written paper of these 28 students the researcher aims to know the areas as well as the types ot their errors. The analysis on 114 student written errors shows that the students made errors in the areas of to be/auxiliary, subject-verb agreement, lexical, preposition, noun clause, possessive, verb, noun phrase construction, pluralization, and article. The most errors was in the area of tobe/ auxiliary with 34 errors while the least one is in article. Types of errors found in this study are misformation, omission, addition and misordering. The anlysis indicates that the errors are resulted from interlingual errors indicating interference from Bahasa.
Model of the Formation of the Professional Subjectivity of Future Teachers of Physical Education

The professional subjectivity of future teachers of physical education is defined as professional quality characterized by the ability to be a subject of pedagogical activity and expressed in the ability to set and adjust its purpose in accordance with social requirements, as well as to independently plan and evaluate actions on the objectification of their own pedagogical position in situations in the educational process. The model of formation of the professional subjectivity of future teachers of physical education in the professional training, which integrates the target, procedural and effective blocks, is presented. The task of the first, preparatory stage of the process is to develop the content of the educational process, which will ensure the formation of the professional subjectivity of future teachers (making changes in the educational-professional programs and curricula of individual disciplines), as well as the coordination of curricula with foreign universities. The task of the forming stage – the formation of subjectivity within certain disciplines and practices (formation of ideas about the nature and patterns of the formation of subjectivity, the creation of a reflexive environment, quasi-professional activity); voluntary participation of students in various social events with the subsequent compilation of the rating of their social activity); the training of students for double degree programs, as well as semester programs of academic mobility at foreign universities. The control stage is dedicated to assessing the level of subjectivity by the author's technique, as well as summing up the results and giving recommendations to students. Tasks of each stage are solved with the help of adequate forms and means. In the long run – an experimental verification of the effectiveness of the model of the process of forming the professional subjectivity of the future teacher of physical education.
Primavera De Filippi and Aaron Wright, Blockchain and the Law: The Rule of Code, Cambridge, Mass: Harvard University Press, 2018, 312 pp, hb £28.95.

The Modern Law ReviewVolume 83, Issue 1 p. 233-236 REVIEWS Primavera De Filippi and Aaron Wright, Blockchain and the Law: The Rule of Code, Cambridge, Mass: Harvard University Press, 2018, 312 pp, hb £28.95. Tatiana Cutts, Tatiana Cutts Assistant Professor of Law, Department of Law, LSE.Search for more papers by this author Tatiana Cutts, Tatiana Cutts Assistant Professor of Law, Department of Law, LSE.Search for more papers by this author First published: 23 August 2019 https://doi.org/10.1111/1468-2230.12459 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume83, Issue1January 2020Pages 233-236 RelatedInformation
Salient Object Detection Integrating Both Background and Foreground Information Based on Manifold Preserving

Graph-based two-stage algorithms have widely developed and achieved good performance to detect salient objects. For these algorithms, choosing the proper seeds using for saliency propagation is quite crucial and difficult. In this paper, we consider using background/foreground probability values of candidate background/foreground seeds as the estimation of the reliable seeds, not considering the refinement of candidate seeds. Moreover, these probability values are integrated into the proposed saliency models, which can avoid hard filtering for candidate seeds as well as simplify the procedure of the algorithm. In addition, considering the manifold structure of an image, we fuse the manifold-preserving term into the saliency models. Especially, reconstruction matrix $A$ is determined based on the deep features extracted from FCN-32s, which can further improve detection performance of salient objects. The results of experiments in which the proposed SBFMP algorithm is applied to four datasets demonstrate SBFMP algorithm is prior to some existing state-of-the-art algorithms in terms of the different metrics.
Benchmarking MySQL and NoSQL Databases on Egovbench Application

E-Government is a result of technological advances in the government field. E-government assessment is needed to encourage the development of e-government in a better direction. The e-Government assessment can be measured using the Egovbench application. Egovbench performs crawling to obtain information from related websites or social media. The process of crawling done by Egovbench produces extensive data, which reduced performance in data processing. Therefore, there is a need for a database solution that has the best performance such as high processing speed and small database size. This study examined the comparison between relational databases and non-relational databases based on selected metrics to obtain the most suitable database solution for Egovbench. The results show that the MySQL database has the advantage of complex query processing and the use of the database with the smallest storage space. MongoDB database has the advantage of low data transfer volumes. Couchbase database has the advantage of short and straightforward query processing with a high number. The evaluation results show that MySQL is more suitable for Egovbench needs, which is the best response time and query per second. MySQL outperformed the other two databases on backup and storage file sizes testing.
Weakly supervised fully convolutional networks using OBIA classification output

In this paper, we present a methodology for preparing reference data to be used in training a fully convolutional neural network. It is a laborious and timeconsuming task to prepare adequate training data for a Fully convolutional network (FCN) since the tiles need to be fully labeled. Weakly supervised learning is used when there are inadequate, inaccurate or incomplete training labels. In this paper, coarse labels are prepared using visual image interpretation and used to train an existing semi-automatic Object-based image analysis (OBIA) chain and subsequently used to classify a very high-resolution aerial (VHR) imagery of the city of Goma, the Democratic Republic of Congo. After accuracy assessment, fully labeled training tiles are automatically extracted and used to train an FCN designed with a skip architecture and dilated convolutions. An overall accuracy of 90.7% is attained from the tests, which demonstrates that FCN is robust to noisy labels. Future steps will entail the evaluation of ensemble voting and class probabilities in preparing the training data. This approach is promising and can address the challenge of preparing a large amount of training data for training FCNs.
MOASM: Anomalous Sub-trajectory Monitoring Of Moving Objects Over Trajectory Streams

Anomaly detection based on space-temporal trajectory streams is an important issue, especially in the field of military surveillance and safety monitoring. Due to the complexity and variability of application scenarios and the quality of trajectory data, this problem still faces many challenges. In this paper, we first give some novel definitions of anomalous trajectory point and anomalous sub-trajectory, and establish an efficient index structure GH-P based on GeoHash. Then, we propose a framework called MOASM for dynamic monitoring of anomalous sub-trajectories of moving objects. Finally we have experiments on the AIS trajectory data. The experiment results demonstrate that our method can detect the anomalous sub-trajectories of a moving object, which may represent the behavior of deviating from the channel and changing the course suddenly. Ideally, MOASM can support dynamic monitoring task for moving objects, which is significant for specific applications.