Reviewerly/exHarmony huggingface dataset:
SRLGRN: Semantic Role Labeling Graph Reasoning Network

This work deals with the challenge of learning and reasoning over multi-hop question answering (QA). We propose a graph reasoning network based on the semantic structure of the sentences to learn cross paragraph reasoning paths and find the supporting facts and the answer jointly. The proposed graph is a heterogeneous document-level graph that contains nodes of type sentence (question, title, and other sentences), and semantic role labeling sub-graphs per sentence that contain arguments as nodes and predicates as edges. Incorporating the argument types, the argument phrases, and the semantics of the edges originated from SRL predicates into the graph encoder helps in finding and also the explainability of the reasoning paths. Our proposed approach shows competitive performance on the HotpotQA distractor setting benchmark compared to the recent state-of-the-art models.
Case Study: Deontological Ethics in NLP

Recent work in natural language processing (NLP) has focused on ethical challenges such as understanding and mitigating bias in data and algorithms; identifying objectionable content like hate speech, stereotypes and offensive language; and building frameworks for better system design and data handling practices. However, there has been little discussion about the ethical foundations that underlie these efforts. In this work, we study one ethical theory, namely deontological ethics, from the perspective of NLP. In particular, we focus on the generalization principle and the respect for autonomy through informed consent. We provide four case studies to demonstrate how these principles can be used with NLP systems. We also recommend directions to avoid the ethical issues in these systems.
Towards Community Collections Management

Collections Management Systems (CMS) are central to the operation of many natural science collections. Over the past few decades, these have evolved from simple tables and databases recording the contents of our collections, to take on multiple roles supporting complex business processes and information management needs within our organisations. These new functional demands have often outpaced the technical development of these systems and organisational capacity to sustain them. Furthermore, their contents essentially remain institutional silos, managed and controlled by single institutions, despite servicing data and a scientific mission that is shared across the global community. The Natural History Museum, London (NHM) has recently embarked on a journey, working with peer institutions and external consultants, to develop a platform-agnostic set of requirements for a sustainable, scalable and interoperable CMS. The vision of a highly efficient, more flexible and connected solution that can engage with other collections-based organisations and stakeholders is not unique to the NHM, and working with others, including the developers of other CMS, we seek to generate a better understanding of shared collection management business processes, data and data models. To achieve these goals, a dedicated year-long programme has been formed to address the many facets of a collections management system specification (requirements, processes, standards, models and compliance), and to engage the landscape of internal and external peers, stakeholders and CMS providers. In this presentation, we will provide some background to explain how the NHM has arrived in its current position and discuss our vision for building on the discussion around existing standards, interoperability and data access. We will summarise the programme’s structure and plans, report on the progress of the first few months, and highlight any challenges encountered and solutions delivered.
코퍼스기반 통역 연구에서의 보편소 현상

Hwang, Ji-youn. (2020). Analysis on universal elements in Corpus-based interpretation studies. Interpreting and Translation Studies 24(1), 221-242This study is an analysis of the interface system on the results of simultaneous interpretation tests by the Graduate School of Translation. In the simultaneous translation test from Korean to Chinese, the use of conjunction in students'' translations was compared with the non-interpreted comparison corpus in Chinese.Results on the research questions showed that the sentence length of the interpretation was shorter than that of the comparison corpus, and the vocabulary density of the interpretation was lower than that of the comparison corpus. And the number of conjunction used in the interpretation corpus was higher than that of the comparison corpus.Through the simultaneous interpretation test, students can see that the method of interpretation that they choose shows the universal character of Simplification and clarification, which Baker suggested. In other words, students did not use a relatively diverse vocabulary when interpreting, the number of words was smaller, and they tended to make a large number of sentences by short compositions.Finally, it was statistically confirmed that the usage patterns of the conjunction between the interpreters and the comparators were different. The above conclusion indicates that it is related to Simplification specification among the universal elements of translation.
Change in Knowledge and Awareness in Teacher Education on Satoyama Environmental Learning: Through a Blend of Learning Spaces, Methods and Media

Lessons on Satoyama environmental education were held for undergraduate students who are training to be educators.The lessons blend inquiry-based learning through research using ICT tools and experiential learning in a complementary manner.Students learn about the underlying concepts about the environment from a global perspective through inquiry-based learning; experiential learning can encourage students to get involved with the environment at the local level and also develop abilities and skills to conduct classes in environmental education.This paper investigated how the lessons influenced the students in these areas: knowledge of technical terms related to Satoyama environmental education, students' confidence and desire to engage in environmental education, and how awareness of their own abilities were improved through the lessons.To understand the impact of the lessons quantitatively, survey contents of the subjective awareness etc. were printed on A4 paper medium and were distributed.The medium were collected after filling them during class.The data are analyzed using Wilcoxon signed-rank test, Wilcoxon rank sum test, and cluster analysis.As a result, overall recognition of technical terms increases on post-survey.There is an increase in the mean score for all items on confidence and desire to engage in environmental education.For the awareness on abilities, students feel that their abilities increased overall across all items.
System for Cleaning the Surface of Solar Modules from Dust Pollution

The study developed an electrostatic device designed to protect the surface of solar modules from dust pollution using electron-ion technology. Calculated the effectiveness of the proposed method for preventing the deposition of particles on the surface of solar panels, which showed the effectiveness of cleaning the air masses by electrostatic devices. Recommendations are proposed on changing the design of the device and increasing the natural charge of particles (creating a larger artificial charge) that fall into the device's area of operation due to the use of corona discharge. The developed protective device meets all requirements of regulatory and technical documentation and gives a positive economic effect in an acceptable time frame. This cleaning method, based on electron-ion technology, may be recommended for implementation both at large solar power plants and at private individual solar modules.
KUALITAS PELAYANAN PERPUSTAKAAN BERDASARKAN PENGELOLAAN KOLEKSI, TATA RUANG, KOMPETENSI PENGELOLA, DAN FASILITAS

Library is one of many place to get knowledge. A management library success can be seen from service quality that give to library customer. Research includes quantitative research. Population this research is all customer Wonosobo Library. Incidental sampling is the sampling technique used, by using iteration formula obtained by respondent with amount 116 costumer library. Data method using, questionnaire, interview, and documentation. Methods of data analysis are multiple linear regression and descriptive percentage. Results showed the multiple linear regression equation is: Y ꞊ -3,489 + 0,242PK + 0,514TR + 0,519KP + 0,475FP + e. The results showed that collection processing , library layout, library management competence, and library facilities had a direct positive effect on the quality of Wonosobo library with total effect is 79,2%. Library layout give the biggest influence with 22,27%, collection processing with 13,76% total effect, management competence give influence 13,39%, and library facilities give less effect with 11,15% total effect
A Comparative Study of Feed Forward Hybrid Neuro-Computing Framework with Multilayer Perceptron Model for Prediction of Breast Cancer

Cancer originates when cells start to grow disorderly and there is a possibility that all the cells of the body have the scope to become cancer and can spread to other areas of body. A malignant tumor that initiates in the cells of breast turns out to be breast cancer. The presence of tumor anywhere in the body can be either malignant or benign i.e. cancerous and non-cancerous. Many research works have been carried out to diagnose the cancer disease. In this proposed research, A hybrid neural network model (SOM and LVQ) has been proposed. The output of SOM has been fed as an input to LVQ model. The classification of the dataset is done with SOM network using a competitive learning algorithm where as LVQ is trained with a vector quantization method. The patient’s data set contains 9 attributes which have been considered as input to the model. The inputs are then given to an SOM where each data point is classified into various clusters by using competitive learning process. Gradually, the classes obtained from SOM are appended back to the training input data for the training of supervised LVQ. After training, LVQ can be used to classify any unknown input data. The output thus obtained from this supervised learning algorithm is used to diagnose the presence of tumor leading to breast cancer. The labelled data from SOM is given as input to Multilayer Perceptron (MLP) and performance of the network is compared with the hybrid network. It has been observed that, The hybrid model performed equally well with that of the MLP model in diagnosing the cancer disease.
SURVEILLANCE INFRASTRUCTURES IN AND FOR CRISES: A COMPARATIVE ANALYSIS OF CHINA AND SOUTH KOREA’S DEVELOPMENT OF QUARANTINE SURVEILLANCE MOBILE APPLICATIONS DURING COVID-19

This article examines China and South Korea’s health surveillance infrastructures that are being developed and deployed during COVID19. To control the outbreak and maintain the state, the Chinese government implemented the "Alipay Health Code” in collaboration with technology giants like Alibaba, while South Korea launched a “self-quarantine safety protection app” to enforce home isolation to suspected carriers and monitor their health statuses. By comparatively analyzing these quarantine surveillance mobile applications that the Chinese and South Korean governments are utilizing in pandemic control, we investigate how these two different governmental regimes - one authoritarian and the other democratic - construct and propagate what their state-of-the-art surveillance technologies can offer to the public in moments of emergency. Through a mixture of walk-through method and situational analysis, this article aims to unpack the processes in which these technologies become developed and examine the politics around their deployment. More broadly, we argue that analyzing them offers new opportunities to investigate the relationship between state surveillance and personal privacy in the context of a national crisis. As surveillance tactics that were deemed oppressive and undemocratic in ordinary times get easily normalized in crisis situations, these moments allow us to reveal the precarious and flexible nature of surveillance and privacy while destabilizing the West-oriented, dichotomic understanding of these concepts. This article tackles this question by observing the relationships among relevant actors – the state officials, industry professionals, and general users – and various contestations/negotiations involved in the processes of designing and deploying these quarantine surveillance apps.
PERANGKAT LUNAK JAJAK PENDAPAT (VOTING) BERBASIS SHORT MESSAGE SERVICE (SMS) GATEWAY DAN WEB

One of the characteristics of democracy is characterized by direct elections. Nowadays the role of technology greatly affects all aspects of life because it is more effective and accurate. Electronic voting or e-voting is the usual form of voting used for general elections and polls using electronic media. The shift in the conventional election process in today's technological era utilizes the media for polling, one of which is short message service (SMS). The use of Short Message Service (SMS) technology can now be utilized for voting because it is supported by many factors including availability, speed, security and accuracy of data generated. Voting Based on Short Message Service (SMS) and relatively cheap costs so as to make it easier for users, both voting participants and voting implementers, to be more optimal.
DECISION SUPPORT SYSTEM FOR SELECTION OF EXEMPLARY EMPLOYEES AT PT. SINAR ASIA PERKASA

Sinar Asia Perkasa is a manufacturing company, where this company is always required to innovate and improve the quality and quality of its products. Because of this, the company PT. Sinar Asia Perkasa must improve itself to get employees who have high quality and work productivity. Employees are one of the most important parts of a company that must be managed properly. To get employees of the highest quality, a process is needed that can automatically provide recommendations in selecting exemplary employees at PT. Sinar Asia Perkasa, namely by establishing a Decision Support System. This Decision Support System is expected to assist in objectively selecting employees. Making this Decision Support System using the Profile Matching method with several criteria, namely aspects of the discipline, aspects of integrity, aspects of cooperation, and aspects of work performance. Then for the final stage of this method is ranking.
Pedagogical Conditions for the Formation of the Readiness of Future Teachers of Professional Training to use Sign-Symbolic Visual Aids

The article defines and substantiates the pedagogical conditions for the formation of the readiness of future teachers of professional training to use sign-symbolic visual aids. The ways of realization of the offered pedagogical conditions in the educational process are described. According to the results of the research, it is established that the pedagogical conditions for the formation of future teachers of professional training readiness to use sign-symbolic visual aids are: formation of students’ motivation to use sign-symbolic visual aids in the educational process and future professional activity; ensuring the theoretical readiness of students for the introduction of sign-symbolic visual aids in the educational process; organization of systematic and reasonable use of different types of sign-symbolic visual aids at different stages of the educational process. The author determined that such a list of pedagogical conditions will contribute to the formation of educational motivators, cognitive activity, and personal components of the studied readiness.
A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph.

In this paper we consider multiple Automated Guided Vehicles (AGVs) navigating a common workspace to fulfill various intralogistics tasks, typically formulated as the Multi-Agent Path Finding (MAPF) problem. To keep plan execution deadlock-free, one approach is to construct an Action Dependency Graph (ADG) which encodes the ordering of AGVs as they proceed along their routes. Using this method, delayed AGVs occasionally require others to wait for them at intersections, thereby affecting the plan execution efficiency. If the workspace is shared by dynamic obstacles such as humans or third party robots, AGVs can experience large delays. A common mitigation approach is to re-solve the MAPF using the current, delayed AGV positions. However, solving the MAPF is time-consuming, making this approach inefficient, especially for large AGV teams. In this work, we present an online method to repeatedly modify a given acyclic ADG to minimize route completion times of each AGV. Our approach persistently maintains an acyclic ADG, necessary for deadlock-free plan execution. We evaluate the approach by considering simulations with random disturbances on the execution and show faster route completion times compared to the baseline ADG-based execution management approach.
THE USE OF PEER FEEDBACK TO ENHANCE STUDENTS’ ABILITY TO WRITE DESCRIPTIVE TEXT

Writing is one of productive skills that is different from other skills. In writing, students need more time to express their idea in a written form. Besides, teacher also needs time to give feedback to motivate the students in revising their work. To make the activity of giving feedback more effective and efficient, this research was conducted. It is aimed to find out whether peer feedback has positive effect or not in enhancing students’ ability to write descriptive text. This research involved the third semester students of English Language Education Study Program, Pakuan University. The sample was 21 students from semester 3A. They were chosen by using random sampling technique. The researcher used quantitaive approach and applied pre-experimental method. She chose one group pre-test post-test design. The instrument of this research was writing test to measure students’ ability to write descriptive text. In addition, the data were analyzed by using t-test formula. From the calculation, she finds the result of t-test value is 9.41 meanwhile the t-table value is 2.09 from the significant level 0.05 with the degree of freedom (df) is 20. It means that the t-test value is higher than t-table value (9.41 more than 2.09). The calculation indicates that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. Thus, peer feedback affects students’ ability to write descriptive text.
Criminal Behavior and Genetics

By Brooke Cooper, Criminal Justice Advisor: J.C Barnes Abstract: In 2003, the Human Genome Project identified the complete DNA sequence of humans. Later, there was a search of a crime that was thought to be the cause of one's criminal behavior. No evidence of a single gene that caused this behavior was found, but it was discovered that multiple genes operating on the expression of certain behavior (e.g. antisocial behavior) can cause criminal behavior. There have been many occasions where the genetic makeup of a defendant has been examined during court to identify and associate certain behaviors with criminal behavior. The examination of the genetic makeup has been used to determine culpability and thus severity of the sentence. As the science has progressed, many individuals still find it hard to believe that genetics and criminal behavior are associated with one another. The aim of this project is to measure the beliefs of criminal justice students attending the University of Cincinnati about the correlation between genetics and criminal behavior. Participants will take an anonymous web-based survey in which they will answer five Likert-type questions based on a vignette that will determine whether they believe genetics influence crime.
RANCANG BANGUN SISTEM INFORMASI KEUANGAN BERBASIS WEB MULTI USER DENGAN UML

STIE XYZ in managing financial transactions still uses Microsoft Excel which is divided by year and type of payment. The purpose of this research is to build a systemized alternative application for managing financial transactions in accordance with financial management at STIE XYZ. Rapid Application Development (RAD) system development method was chosen because in this method a system can be developed within 180 days and the users are directly involved when developing the system so that the system is developed according to user needs. The RAD design process uses the Unified Modeling Language (UML) method. Dimension of Quality for Goods (Operations, Reliability and Durability, Conformance, Service Ability, Appearance and Perceived, and Quality) test scores> 75.50, 76.50 so that it can be concluded that the product is declared successful, the results of the benefit testing are based on the variables Usability, Learnability, Efficiency and Acceptability (ULEA) produces a value> 70 that is 90.65% so that it can be declared useful.
Perceptual Quality Assessment of Enhanced Images Using a Crowd-Sourcing Framework

In this work, we present a psychophysical study, in which, we analyzed the perceptual quality of images enhanced with several types of enhancement algorithms, including color, sharpness, histogram, and contrast enhancements. To estimate and compare the qualities of enhanced images, we performed a psychophysical experiment with 35 source images, obtained from publicly available databases. More specifically, we used images from the Challenge Database, the CSIQ database, and the TID2013 database. To generate the test sequences, we used 12 different image enhancement algorithms, generating a dataset with a total of 455 images. We used a Double Stimulus Continuous Quality Scale (DSCQS) experimental methodology, with a between-subjects approach where each subject scored a subset of the total database to avoid fatigue. Given the high number of test images, we designed a crowd-sourcing interface to perform an online psychophysical experiment. This type of interface has the advantage of making it possible to collect data from many participants. We also performed an experiment in a controlled laboratory environment and compared its results with the crowd-sourcing results. Since there are very few quality enhancement databases available in the literature, this works represents a contribution to the area of image quality.
Mean Object Size Considering Average Waiting Latency in M/BP/1 System

This paper deals with the web object size which affects to the service time in multiple access environments.The M/BP/1 model can be considered because packets arrival and web service are Poission and Bound Pareto (BP) distribution respectively.We find mean object size which satisfies that the average waiting latency by deterministic model equals the mean queueing delay of the M/BP/1 model.Performance evaluation shows that the mean web object size is affected by file size bounds and shape parameter of BP distribution, however, the impact of link capacity is not significant.When the system load is low, web object size converges on half the maximum segment size (MSS).Our results can be applied to find mean web object size in the economic web service design.