Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN SISTEM GRADER DI JURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNILA

Grader is a system to complement the demand of online learning system at the Computer Science Department, Faculty of Mathematics and Natural Science, University of Lampung. The existed virtual class system facilitates assessments with automatic correction for assignments and tests. On the other hand, a grader aims to generate automatic correction for programming tasks. This research implements extreme programming method to build a grader system. The system was built using the CodeIgniter PHP framework. Developments carried out in this study include the addition of user categories to admin, editor and participants; as well as the addition of the share code feature. Black box testing was conducted twice to validate the performance of the system, in which fulfilled all the requirements and set to release.
Towards a Response-Able Electroacoustic Composition Practice: In Search of Sympoietic Multivalence

This paper proposes a relational model for electroacoustic composition practice. In the model, relationality focuses on perspectives of response-ability of the composer with more-than-human agents, within an entangled sympoietic musical space. Here, the response-practices are built on acts of listening that entail, aural analysis and embodied practice with material objects. Within the scope of this paper, more-than-human agents are narrowed down to only recorded sounds (fixed media sound files) and physical material objects. In investigating such response-able compositional practices, the model follows Post-humanist and New-materialist strands focusing on various concepts proposed by Karen Barad and Donna Haraway. And in doing so, it aims to re-figure some of the conventional discourses about the concepts of poietic agency, and of multivalence within the composition practice.
Online vs. offline: axiological model of educational Rhizoma-like professional spaces

It is curious to reflect that so much significance has been given to Tutoring for teachers within the period of COVID-19 pandemic in the spaces of some destructive changes of the postmodernism educational paradigm. Both the behaviorist/structural model and functional /communicative model have, in their different ways and aspects, consistently played it in terms of the emphasis on correspondence, on-line and off-line courses. This study suggests some ways of opening up daily situations and cases with ICT means for learners in the regional professional spaces of modern language teaching in terms of axiological approach that considers student-centered techniques as a priority a) to establish the psychological balance in the classroom, which is essential for security and stability of the communicative environment and educational process for each participant; b) to fill the gap in different sections of Grammar and Vocabulary for any learner; c) to open up the possibilities for both gifted children and children/adults with special needs.
The Relationship between Brushing Teeth and Saliva Conditions on the Accumulation of Calculus in High School Students in Medan City, Indonesia

Brushing teeth is an effort to maintain the cleanliness and health of the oral cavity. This study aims to determine the relationship between brushing and salivary conditions on calculus accumulation in high school students in Medan, Indonesia. Measurements used the Saliva Check buffer kit and atomic absorption spectrophotometer (AAS) to determine the concentration of calcium ions in saliva. The salivary condition assessment parameters measured were calcium level, volume, salivary flow rate, pH and buffer capacity. The results showed that the average volume of saliva was 2.64 + 1.61 ml / 5 minutes, salivary flow rate was 0.52 + 0.32 ml / minute, pH: 7.80 + 0.23 (alkaline), salivary buffer capacity 7.0 + 2.59 (low), calcium content 2.91 + 0.72 Mmol / l, the average frequency of brushing teeth 2 times a day, and calculus index 1.42 + 0.47. The conclusion of this study is that there is no significant relationship between brushing teeth and salivary conditions (volume, flow rate, pH, buffer capacity, calcium ion concentration) on calculus accumulation (p> 0.05).
Library: Using the EBSCO Mobile App: Personal Account

Make progress on your research anytime, anywhere with EBSCO’s mobile app! This guide shows you how to find, install and start using the free EBSCO mobile app.
웹 코퍼스를 기반으로 한 한불 번역 등가어 연구 : 코로나19를 중심으로

Translators generally use a bilingual dictionary to find equivalences between two different languages. However, one disadvantage of existing dictionaries is that they do not immediately reflect new expressions and their real usage. In this context, Web as corpus serves as a useful translation dictionary. In this article, we investigated Korean-French translation equivalences of certain keywords related to an infectious disease, COVID-19, from the Web as corpus. We took translated words or expressions suggested by existing Korean-French dictionary, and searched for them using the Web as a corpus to ascertain their real-life usages. We confirmed that while existing dictionaries play an important role in translation, they have some restrictions. While this finding does not mean that the Web as corpus wholly substitutes existing bilingual dictionaries, we confirmed that it could support the dictionaries in identifying the real usage of target language or in recognizing real-world expressions used by native speakers.
Cement Mixer Trailer For Multiplayer [1.37]

Game version: 1.37 And 1.38 You can play Multiplayer with this trailer. Ability to customize trailer tires Possibility to buy a personal
Social Ski Driver-Jaya Optimization-Enabled Deep Convolution Neural Network for Signature Verification

With the rapid growth of technology, security plays a very important role for avoiding forgeries and fake. It is also one of the most easily forgeable biometric identity when compared to other biometric features like thumb impression, face recognition etc.  Thus, the signature verification is the most important features to check the person authenticity.  Therefore, an effective method named Social ski driver-Jaya (SSD-Jaya) optimization algorithm is proposed in this research to verify the signature. The pre-processing is initially done by the input image in which the cropping and the binarization is done. Here, the cropping is performed for resizing the input image with the constant aspect ratio, whereas the binarization is carried out using otsu thresholding for converting the original image into binary image. After that, the feature extraction is carried out based on hierarchical skeleton, yields the addition data for enhancing the accuracy of image matching and it does not require manual intervention. The hierarchical skeleton image is fed to the formation of the graph that indicates the highly significant points in the image. At last, the classification is performed using the developed SSD-Jaya optimization algorithm, which is designed by integrating Social ski driver (SSD) and Jaya algorithm. The performance of the signature verification Proposed models are analyzed depending on the three critical measures: precision, sensitivity, and specificity. the developed model delivers the highest precision of 0.2 and sensitivity of 0.98 with respect to standard deviation
Subject Research, Course Guides, Documentation: Hyperlinked Stories with Twine: Overview

This guide introduces Twine as a lightweight and open-source tool to craft your own hyperlinked stories and games.
Robust JPEG Image Steganography Based on SVD and QIM in Stationary Wavelet Domain

Robust image steganography technology is important for covert communication under lossy network environment where the images are often compressed. To resist the lossy image compression, the robust embedding domain should be constructed firstly and then the secret messages are embedded by special steganography code. In this paper, by taking the advantages of stationary wavelet transform, SVD and QIM, a robust JPEG image steganography algorithm is proposed based on SVD and QIM in stationary wavelet domain. First, the framework of the proposed robust JPEG steganography algorithm is given. Then, the embedding distortion of cover element is defined. Finally, the message embedding and extraction procedure are described in the details. The experimental results show that the proposed robust steganography algorithm has competitive robustness and detection resistance.
Multi-roller Trajectory Planning under the Dynamic Obstacle in Pavement Construction

This paper investigates a multi-roller trajectory planning algorithm under the dynamic obstacle in pavement construction. When autonomous rollers compact the road surface, the lack of fuel in the fuel tank needs to be considered. To deal with this problem, the roller that is about to run out of oil is moved away from the working area, and at the same time, a spare roller completes the remaining work belonging to the offsite roller. The two trajectory planning methods are as follows: First, we design a cubic Bezier curve through the known state variables to find all feasible paths for the spare roller, and then, we detect the curvature of the paths and filter out paths that the roller cannot follow, and next, we filter paths that collide with the dynamic obstacle, and finally, we choose the shortest path length. The same steps are used to design the path of the roller that is about to run out of oil, except that the maximum safety distance is used in the last step instead of choosing the shortest path length. The simulation experiment shows that in the scenario of this article, the designed path has a safe distance of more than 3 meters and a length of no more than 82 meters.
미국의 직업교육과 사회이동에 관한 종합적 고찰 - 직업교육훈련(Vocational Education Training, VET) 프로그램 효과와 정책 사례를 중심으로 -

본 연구는 미국 내 직업교육과 사회이동성에 대한 학술적·정책적 논의를 고찰하여 한국 사회에 주는 시사점을 모색하는 데 목적을 둔다. 이를 위해 미국 사회 맥락에서 직업교육의 기능과 한계를 설명하는 이론을 정리하고, 직업교육과 사회이동의 관계를 실증적으로 분석한 연구 동향을 살펴보았다. 구체적으로 미국 교육통계청(National Center for Education Statistics, NCES)의 대규모 교육자료인 National Longitudinal Study of 1972(NLS-72), High School and Beyond (HSB), National Education Longitudinal Survey of 1988 (NELS: 88), 미국 노동통계국(Bureau of Labor Statistics)의 National Longitudinal Survey of Youth (NLSY)와 경제협력개발기구 (OECD)의 Programme for International Assessment Adult Competencies(PIAAC) 자료분석을 바탕으로 직업교육훈련(Vocational Education Training, VET) 프로그램 효과를 실증한 연구 결과를 시계열적으로 탐색하였다. 아울러 직업교육의 효과를 제고 하기 위해 도입된 미국 내 직업교육훈련(VET) 주요 정책을 살펴보고, 미국 사례가 주 는 시사점을 결론에 제시하였다.
Dragonfly algorithm in 2020: review

Swarm Intelligence is the meta-heuristic algorithm that is inspired by the natural behavior of some groups of animals (like dragonfly, ants, ducks, etc.) striving for their life existence. One of them is Dragonfly Algorithm. Dragonfly Algorithm has been used to solve real-world nonlinear problems in engineering. In this paper, we reviewed Dragonfly Algorithm implementation in 2020. We collected papers that related to Dragonfly Algorithm in 2020, then we discussed it based on the subtopic that we stated. From our observation, we got the insight that this algorithm was excellent to implement optimization in some networks or electricals problems. Mostly, to get the best result, Dragonfly Algorithm must be hybridized with the other algorithm.
Aplikasi Sistem Pakar untuk Mendiagnosa Virus Covid-19 pada Manusia Berbasis Web Menggunakan Metode Forward Chaining

The Covid-19 virus is currently a pandemic in the world community. This virus spreads through human-to-human contact with many media. Human lungs are organs in the human body that are vulnerable to the Covid-19 virus attack. This virus attacks through stages that are predicted to take several days. The stages from a person making contact with a sufferer of the Covid-19 virus until he is tested positive are different. Some of the factors that play a role in the attack of the spread of this virus are in addition to a person's immune weakness such as age, immunity, obesity, medical history, hygiene and the supplements a person takes. One of the ways to deal with the Covid-19 pandemic is to provide accurate information on how to prevent the spread of this virus. This information is expected to provide input to everyone in order to prevent infection. An important role in a person's life is to maintain cleanliness in daily activities to prevent contracting this virus, which has many deaths due to contracting the Covid-19 Virus. A person's knowledge and little information will be affected if they fail to maintain their health from the Covid-19 Virus attack. This situation requires an expert who is well aware of the virus and all its symptoms. This research can help us to diagnose someone's health and anticipate having a risk of contracting the Covid-19 virus by designing and implementing it. The Covid-19 Expert System was designed on a web basis using the programming languages PHP and MySQL. In this expert system, several questions are asked. After all the questions are answered, the results of the diagnosis and suggestions can appear that can help diagnose the Covid-19 Virus attack.
Implementasi Particle Swarm Optimization (PSO) Pada Analysis Sentiment Review Aplikasi Halodoc Menggunakan Algoritma Naïve Bayes

Health is very important for humans, if you experience symptoms or feel pain, it is appropriate for us to have a health check and go to a hospital or clinic, but if it is not possible to leave the house, an online health consultation application is considered to be helpful. But before you can use and take advantage of these applications, it is necessary to know reviews from consumers based on positive opinions and negative opinions. This study applies the Naive Bayes algorithm to perform text classification and selects the particle swarm optimazation selection feature to support the increased accuracy obtained. Classification evaluation and validation are performed using confusion matrix and ROC curves. The results showed an increase in accuracy previously 88.50% and AUC 0.535, increased to 90.50% and AUC 0.525. It can be concluded that the selection of the particle swarm optimazation feature has succeeded in increasing the accuracy.Keywords: selection features, naïve bayes, particle swarm optimization.
‘TRANS-’ APPROACH TO ARCHITECTURE AND MUSIC INTERACTION: THE RELATIONSHIP BETWEEN MARCOS NOVAK’S LIQUID ARCHITECTURE AND MUSIC

Aim: The aim of this research is to identify the Novak’s relationship of ‘liquid architecture and music’ as an approach that diverges from the architecture music relationships that have been built throughout the historical process. Method: In describing the approach, initially, the intellectual and critical foundations and features of liquid architecture were emphasized, and subsequently, its relationship with music was discussed through case studies in comparison to the current relationship between architecture and music. Results: When the current relationships of the architecture and music are evaluated, the attitude apart from the arising sensations and affections doesn’t exist within the relationship of liquid architecture and music. Liquid architecture, which has characteristics such as continuity, timelessness, plurality, poetry and obscurity, acquires the characteristics of the individual varying based on his/her body, senses, perceptions, and emotions as the way of producing architecture. It is claimed that the liquidity approach will influence music and architecture in different ways than is known, and that music will transform into a new form of architecture, while architecture becoming a new form of music. In this context, it extends ‘beyond (trans-)’ the limits of current approaches. Conclusion: The sixth category of methodical approaches in architecture music interaction can be defined as the relationship of liquid architecture and music. The way it relates to music and the way it produces architecture also suggests a direction of development to concrete architecture and virtually warns about renewing its theory and tools.
PENGEMBANGAN TEKNIK DAN INSTRUMEN ASESMEN ASPEK PENGETAHUAN BERASIS TEKHNOLOGI

AbstrakAbstractTechnology and information are growing so rapidly along with the times. In the world of education, this technological development helps teachers in the learning process so that the teaching and learning process can be carried out effectively in order to achieve learning objectives. Technological developments can create a more varied and less boring learning atmosphere. The purposes of the assessment are: keeping track, serves to ensure that teaching and learning activities are in accordance with the initial planning; checking up, namely to find out the difficulties felt by students in the learning process; finding out, looking for and at the same time finding the obstacles experienced during the learning process. Therefore, technology-based assessment instruments have now been developed to make it easier for teachers to assess students. The research method used is library research or often called literature study, which is a series of activities related to the methods of collecting library data, reading and taking notes and processing research materials. Researchers deal directly with text or numerical data and not with direct experience from field studies or eyewitnesses in the form of events, people or other objects, but from libraries that are 'ready to use'. The results of this study indicate that the Development of Techniques and Assessment Instruments from the Technology-Based Knowledge Aspect includes: 1) Google forms 2) Wondershare quiz creator, and 3). That Quiz.Keywords: Assessment, Instrument, Technology.
Determining the Mediating Effects of Entrepreneurial Self-Efficacy on the Relationship between Organizational Antecedents and Entrepreneurial Orientation

A considerable literature points to entrepreneurial orientation (eo) as an essential component in fostering organizational performance.In order to advance theoretical and empirical knowledge in the field of eo, this article undertakes an empirical inquiry into the extent to which entrepreneurial self-efficacy mediates the relationship between organizational antecedents and eo at public hospitals in South Africa.Results support the study hypotheses insofar as organizational structure and performance rewards explain a significant amount of variation in eo, while entrepreneurial selfefficacy partially mediates this relationship.The study makes a novel contribution by highlighting the significance of the connection between different organizational antecedents and eo, while additionally interpreting the mediating effect of entrepreneurial self-efficacy, in an under-researched industry and country context.
Multi‐dimensional weighted cross‐attention network in crowded scenes

Human detection in crowded scenes is one of the research components of crowd safety problem analysis, such as emergency warning and security monitoring platforms. Although the existing anchor-free methods have fast inference speed, they are not suitable for object detection in crowded scenes due to the model's inability to predict the well-fined object detection bounding boxes. This work proposes an end-to-end anchor-free network, Multi-dimensional Weighted Cross-Attention Network (MANet), which can perform real-time human detection in crowded scenes. Specifically, the Double-flow Weighted Feature Cascade Module (DW-FCM) is used in the extractor to highlight the contribution of features at different levels. The Triplet Cross Attention Module (TCAM) is used in the detector head to enhance the association dependence of multi-dimension features, further strengthening human boundary features' discrimination ability at a fine-grained level. Moreover, the strategy of Adaptively Opposite Thrust Mapping (AOTM) ground-truth annotation is proposed to achieve bias correction of erroneous mappings and reduce the iterations of useless learning of the network. These strategies effectively alleviate the defect that the existing anchor-free network cannot correctly distinguish and locate the individual human in crowded scenes. Compared with the anchor-based detection method, there is no need to set anchor parameters manually, and the detection speed can satisfy the real-time application. Finally, through extensive comparative experiments on CrowdHuman and WIDER FACE datasets, the results demonstrate that the improved strategy achieves the state-of-the-art result in the anchor-free methods.
TEORI DAN PRAKTEK EQUIVALENSI DALAM PENERJEMAHAN ENGLISH-INDONESIA

Translation does not only translate from the source language (ST) to the target language (TT) because if it is done, the translation results or (TT) will not be accepted by the target language user and will not have the same effect as the source language. This is called the concept of equivalence. Equivalence is a problem that can not only be accepted by users of the target language which is also in accordance with the context of the culture, customs and habits of the local community, but this concept is essentially the result of the translated text having the same impact between the source language and the target language. This article analyzed the concept of theoretical and practical equivalence of translation from English to Indonesian or vice versa. The purpose of writing this article is to reveal the equivalence of translation and at the same time reveal translation errors that often occur in society. The data collection method used in this article is SBLC or free-to-talk (Sudaryanto, 1993). While the data analysis method is equivalent which was also written by the same expert.
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

We study the streaming model for approximate matrix multiplication (AMM). We are interested in the scenario that the algorithm can only take one pass over the data with limited memory. The state-of-the-art deterministic sketching algorithm for streaming AMM is the co-occurring directions (COD), which has much smaller approximation errors than randomized algorithms and outperforms other deterministic sketching methods empirically. In this paper, we provide a tighter error bound for COD whose leading term considers the potential approximate low-rank structure and the correlation of input matrices. We prove COD is space optimal with respect to our improved error bound. We also propose a variant of COD for sparse matrices with theoretical guarantees. The experiments on real-world sparse datasets show that the proposed algorithm is more efficient than baseline methods.
Corpus-Based Analysis of Online Hoax Discourse on Transportation Subject Picturing Indonesian Issue

This research discussed Indonesian hoax on transportation, spread using chain messages over social media, a major hoax subject. Setting social structure as an element to consider in hoax discourse gave different perspectives on why hoax news took place. Contrasting identified online hoax discourse to corpus-derived prosody could be interpreted using a sociopragmatic approach by Lin and Chung (2016). This research tried to look at how discourse on hoax correlated to real social issues among Indonesian people. Digital forensic was done by tracking discourse used as data from hoax news collection on turnbackhoax.com during 2017-2019. Discourse was later generated into clusters of subject idea of ‘tilang’, ‘jalan tol’, public land transport and infrastructure, ‘kecelakaan pesawat’, ‘lowongan kerja’, ‘China’, insecurity toward government and ‘kecelakaan kapal’. The subject idea was later consulted to Indonesian Web Corpus (IWAC). Through the socio-pragmatic approach, prosody derived by contrasting process portrayed hoax on transportation as a reflection of unsolved current social problems among Indonesian community including distrust toward the government, unawareness on transport safety, law and regulation, economic status, and trend. The finding of this research is recommended to take action toward those problems to eliminate hoax spread in the transportation sector.