Reviewerly/exHarmony huggingface dataset:
Aplikasi Pengolahan Data Pembayaran Uang Sekolah Pada Smk Swasta Teladan Pematangsiantar Menggunakan Visual Basic 2010

The payment system for school fees in SMK Swasta Teladan Pematangsiantar School is still done manually, making it less effective and efficient in management school payment data. This causes the data processing in the payment of school fees has not run optimally. To resolve the issue, Then the writer proposed to devise and build applications that support data-based system so that process payment of school fees more effectively and efficiently. This system is designed and built using Microsoft Visual Studio 2010 and the MySQL Server Database. The purpose of this system is to simplify the processing school fees payment data, It is expected that the existence of this system can maximize the work of employees so that the target of delivering information and work volume can run more efficiently and effectively.
Low-quality watermarked face inpainting with discriminative residual learning

Most existing image inpainting methods assume that the location of the repair area (watermark) is known, but this assumption does not always hold. In addition, the actual watermarked face is in a compressed low-quality form, which is very disadvantageous to the repair due to compression distortion effects. To address these issues, this paper proposes a low-quality watermarked face inpainting method based on joint residual learning with cooperative discriminant network. We first employ residual learning based global inpainting and facial features based local inpainting to render clean and clear faces under unknown watermark positions. Because the repair process may distort the genuine face, we further propose a discriminative constraint network to maintain the fidelity of repaired faces. Experimentally, the average PSNR of inpainted face images is increased by 4.16dB, and the average SSIM is increased by 0.08. TPR is improved by 16.96% when FPR is 10% in face verification.
Perbandingan Jumlah Eritrosit pada Sampel Darah 3 mL, 2 mL, dan 1 mL dengan Antikoagulan K2EDTA

Background: Laboratory examination has several factors that can affect the results of the examination, one of which is the pre-analytic factor that can affect the results of erythrocyte examination is the ratio between blood volume and anticoagulant. If the blood volume is insufficient, the anticoagulant causes red blood cells to become krenated, and if the excess blood volume can cause anticoagulants it can cause blood clots. Research Objective: This study aims to determine the ratio of the number of erythrocytes in the blood sample volume of 3 mL, 2 mL, and 1 mL with anticoagulant K2EDTA. Research Methods: This study used primary data with a hematological examination at the UTD RSUD Dr. H. Abdul Moeloek Bandar Lampung. This type of research is quantitative using an observational analytic design with a crossapproach sectional through a hematological examination using the Hematology Alayzer Mindray BC-3600 with a sample size of 40 respondents who meet the inclusion and exclusion criteria. Results: The results of the mean examination of the number of erythrocytes between the blood volume of 1 mL, 2 mL, 3 mL with the anticoagulant K2EDTA had different results, at a volume of 3 mL showed the lowest results. Conclusion: There is no significant difference between the examination of the number of erythrocytes with the blood sample volume of 1 mL, 2 mL, and 3 mL in thetube vacutainer K2EDTA&#x0D; Keywords: Hematology Examinatio;, Blood Volume; K2EDTA.
Building a quantum-powered future

Quantum physicist and chief executive of Oxford Quantum Circuits llana Wisby talks to Tushna Commissariat about deep tech, entrepreneurship and quantum technologies of the future
Quantum Circuit for Coding Acceleration Under Random Disturbance: Case for OFDM Pilot Anti-Denial

A hidden security issue in OFDM based wireless communications system is the denial of OFDM pilots by spoofing/jamming/nulling regular pilot tones on time-frequency resource grids (TFRG), which cause denial of service (DoS). Lots of literatures have elaborated on solving this problem efficiently by coding on time-frequency domain, but ignored the huge decoding overheads caused by unknown disturbance from attacker. We in this paper discover an interesting fact: the decoding process of information coding that captures signal features can be accelerated doubly under random disturbance by a quantum circuit that exploit quantum phase kick-back. Firstly and most importantly, we show how to formulate the decoding process as a black-box model which can be resolved by a well-designed quantum circuit with two distinguishable quantum states as its inputs. Then we model the searching process of desirable codewords as decision making of the phase information of two quantum state inputs. By employing the quantum phase kick back, we finally prove that one measurement of output of the quantum circuit is enabled to reflect the global information of two inputs and the searching complexity of codewords can be reduced by half under random disturbance.
LibGuides: ENGL 3 (Vincent): Evaluating Popular Media

A guide to library resources for Vincent's English 3 classes. Social media and web content in the age of fake news
CONTRIBUTING FACTORS TO EFL STUDENTS’ SPEAKING ANXIETY

Anxiety is one of the most influential factors on students’ learning, especially speaking. English speaking is a language skill that is highly affected by anxiety. Therefore it suggested that the cause of this anxiety be explored to reduce its significant effect on learner. This research aimed at describing contributing factors to EFL students’ speaking. Qualitative inquiry was used as the main framework in completing the analysis. The participants of this research was EFL learners enrolled in English department in a private university in Garut. They were involved based on volunteer participation. Their identity was presented as pseudonym in order to comply with the research ethical conduct. The interviews were used to explore many contributing factors to speaking anxiety experienced by EFL Learners. The result revealed that there are nine dominant factors identified as the cause of students’ speaking anxiety, they are: cognitive and linguistic factors related to classroom procedure, strict and formal classroom environment, classroom presentation, fear of making mistakes and apprehension about others’ evaluation, role of language instructors, linguistic difficulties, pronunciation, grammar, and vocabulary
Research Guides: ENVS 3020 Advanced Writing in Environmental Studies (Vodehnal) - Rare and Distinctive Collections Virtual Visit: Nuclear Weapons and Nuclear Energy

A guide to historical materials relating to scientific and environmental communication in the CU Libraries Special Collections, Archives, and Government Information Library.
Visual Composite Set Detection Using Part-and-Sum Transformers

Computer vision applications such as visual relationship detection and human-object interaction can be formulated as a composite (structured) set detection problem in which both the parts (subject, object, and predicate) and the sum (triplet as a whole) are to be detected in a hierarchical fashion. In this paper, we present a new approach, denoted Part-and-Sum detection Transformer (PST), to perform end-to-end composite set detection. Different from existing Transformers in which queries are at a single level, we simultaneously model the joint part and sum hypotheses/interactions with composite queries and attention modules. We explicitly incorporate sum queries to enable better modeling of the part-and-sum relations that are absent in the standard Transformers. Our approach also uses novel tensor-based part queries and vector-based sum queries, and models their joint interaction. We report experiments on two vision tasks, visual relationship detection, and human-object interaction, and demonstrate that PST achieves state-of-the-art results among single-stage models, while nearly matching the results of custom-designed two-stage models.
Modelling Player Combat Behaviour For NPC Imitation And Combat Awareness Analysis

Abstract—NPC [non-player characters] have progressed over the past two decades, they fulfil a number of different roles, each with different problems and development techniques. When fulfilling the role typically reserved for human-players, a problem occurs because they can be identified as NPC by observing their gameplay behaviours. This has negative consequences when deployed in a team-based game where eliminations impact game objectives. This research investigates the key combat characteristics exhibited by players during certain scenarios, analysing the data acquired through experiments to determine where generalised patterns emerge. It also explores the combat awareness of players when NPCs have overly tuned combat skill, and determine how effective standard game industry techniques are for creating believable NPCs.
LibGuides: eBook Collections at UVic Libraries: eBooks: University Press collections

A guide to the eBook collections at UVic Libraries University Press titles from around the world
THE ESSENCE AND STRUCTURE OF STUDENTS' READINESS TO ENGAGE IN DISTANCE LEARNING.: 10.24250/jpe/1/2021/NS

Abstract. The article deals with the issue of higher education studentsâ€™ readiness for distance learning. It has been noted that due to the rapid transition to distance learning in a pandemic, the search for answers to questions related to the quality of distance learning, the teachersâ€™ and studentsâ€™ readiness for this form of learning, the lack of unified methodological approaches to the transition from offline to online learning have been actualized. Scientific approaches to the description of the concept of readiness for the activity have been analyzed. Based on the analysis of domestic and foreign scientific sources, the structure of readiness for distance learning has been identified. The student's readiness for distance learning is considered as the ability to carry out educational activities distantly, which includes such structural components as communicative readiness to interact during online education and motivational readiness for distance learning. The impact of students' communicative behavior on the success of educational activities during distance learning has been reviewed. It has been noted that the sphere of direct interpersonal communication relations in distance learning is reduced to a minimum, or non-existent. This affects the formation of personality and the intended purpose of educational space, contact with the teacher in real, not online space is important for the formation of motivation, beliefs and attitudes. The study indicates a lack of motivation and self-control of students during distance learning. The survey of first- and second-year students has found that more than half of students have problems with self-control and the ability to work independently in distance learning. It has been noted that distance education is less effective than traditional classroom education, as fewer students complete the courses, since this type of education provides sufficient motivation, self-control and the ability to work independently with information and training materials.
The National GSBPM Glossary: Methodology and Practice

This study aims to contribute to the national statistical glossary compilation, namely a glossary supporting the Generic Statistical Business Process Model (GSBPM). The GSBPM is a standard framework that allows statistical authorities to use corporate and harmonized terminology for the statistical business process. In Ukraine, the implementation of the GSBPM in statistical practice puts forward the need for its terminological support. The glossary is a means of understanding among statisticians and contributes to professional vocabulary formation.Statistical terminology today creates an independent terminological system. The system nature of statistical language is related to the professional limits and the interdependence of phenomena within these limits. As a subsystem of the general statistical system, the GSBPM has its vocabulary.We argue a complex, non-linear, and dynamic interrelation between statistical business processes in the GSBPM. The business processes form some synergy and involve professional vocabulary for different business phases, implying a non-mechanical approach to glossary compilation.According to studied international practice, there is no single approach to statistical glossaries construction and presentation. The choice of basiс international standards is crucial to ensure the GSBPM methodology and quality.We formulated several experience-based requirements and principles for the GSBPM glossary. Identified problematic issues may be useful for further work on statistical terminology. The progress in official statistics, both international and national, significantly affects this work's qualitative aspects. An essential factor in bringing national statistical language closer to international standards is undoubtedly the dialogue between the academic community and statisticians-practitioners.The development of glossaries for the General Activity Model for Statistical Organizations (GAMSO) and the Generic Statistical Information Model (GSIM) is outlined as a prospective area of further studies.
THE ROLE OF SCHOOL ARTISTIC ACTIVITIES IN MINIMISING AGGRESSION FOR PRIMARY SChOOL STUDENTS

This research seeks to prepare a program of school’s artistic activities that develops different new skills and experiences that help to vent negative emotions positively and expressing them in the form of artistic creativity that provides the student’s opportunity to benefit from his energy, ability and talent, which earns him self-confidence and responsibility towards himself and towards others and forming a positive concept of self that erases undesirable behaviors and alleviates the intensity of aggression among students. The research relied on the descriptive analytical approach in terms of it’s theoretical framework, where it dealt with a series of studies related to the subject of research as well as addressed (concept of artistic activities and their fields and objectives, school activity, the foundations of planning and evaluating activities, the role of art in modifying behavior, the role of artistic activities in the construction of personality Child, concept, causes and forms of aggression). The research also followed the semi-experimental approach in its practical aspect, which included the selection and application of Measure of aggressive behavior and statistical treatment of it, the selection of children who received high grades by scale, and the identification of the sample of the final study, which consisted of (20) children from the primary stage between the ages of 9-12 years, and the procedure of homogenization among the members of the sample, and the preparation of The program of artistic activities (artistic expression - stereoscopic expression), tribal, dimensional and tracking measurement, statistical processing of data, conclusions and discussion, presentation of educational recommendations and proposal of future research in this field
BScrum: An Agile Development Method for Blockchain Software Development

Blockchain system is of the most recent invention, which brings more challenges to software developers. To overcome these emerged challenges, software engineers should invent engineering methods that covers the whole process of blockchain system development. However, currently, there is a serious lack of mature development methods. In this paper we present BScrum, an agile method to eliminate issues related to blockchain system development. From agile methods, the proposed method is based on Scrum, which in turn makes the development process is manageable and incrementally delivered. BScrum method covers the whole development process in details to fill the research gap and to advance the research body of knowledge.
Manuscript Accepted!: Collaborating on a scholarly publishing symposium for graduate students and early career academic faculty

INTRODUCTION As academic libraries expand their scholarly communication support, they also need to find ways to help educate graduate students about this area as well as market themselves. DESCRIPTION OF PROGRAM The University of Nevada, Reno Libraries created a one-day symposium, called Manuscript Accepted!, aimed at graduate students and early career faculty that would use faculty and library expertise to lead panels and workshops. This article discusses planning for the event, including collaborating with other on-campus groups, working with publishers for financial support, and planning a program that would meet a variety of needs. Assessment of the first two symposiums, held in 2019 and 2020, shows that attendees valued the event while also highlighting the need for more targeted support for specific areas, such as the humanities. NEXT STEPS The Libraries plans to continue Manuscript Accepted! as a one-day symposium, although it will also look to ways to expand attendance. Finally, the Libraries is investigating ways to create smaller events that could be tied into the Manuscript Acceptance! brand but that help meet other needs of our attendees.
Understanding the Impact of Poor Coding Practices on the Quality of Deep Learning Systems

RESUME:Les applications basees sur l’apprentissage profond, en anglais Deep Learning (DL), sont de plus en plus utilisees pour resoudre diverses tâches de notre quotidien grâce aux recentes prouesses des modeles d’apprentissage profond qui surpassent deja les competences humaines dans un large eventail de tâches, de la classification des images a la reconnaissance de la parole et au traitement du langage naturel. Ces progres tendent a elargir l’application del’apprentissage profond dans des domaines aussi critiques en termes de securite comme les voitures autonomes et la sante. Les specialistes de l’apprentissage profond partagent les memes preoccupations que les ingenieurs logiciels d’ autres domaines en ce qui concerne l’efficacite, la complexite et la maintenabilite des systemes logiciels. En revanche, le processus de developpement continu des systemes d’apprentissage profond, caracterise par un rythme rapide et une complexite accrue, pourrait conduire a de mauvais choix de conception par ledeveloppeur.---------- ABSTRACT: Deep Learning (DL) based applications are increasingly being used in our society to solve a variety of tasks, thanks to the recent progress of deep learning models, which are now outperforming humans on a wide range of tasks, from image classification to speech recognitionand natural language processing. This progress is being made towards the widespread application of DL in safety-critical applications such as autonomous cars and healthcare. Deep learning practitioners share similar concerns as software engineers in other domains with regards to efficiency, complexity, and maintainability. On the other hand, the continuous development of deep learning systems which takes place at a rapid pace as well as their increasing complexity could lead to bad design choices on the part of the developers. Furthermore, due to the prevalent use of similar frameworks and repeated coding of similartasks, deep learning developers, therefore, tend to use copy-paste practice, creating clones in deep learning code
Secured Banking Authentication by Pixel Correlation for Online Shopping

This paper presents a secure way for bank transaction during online shopping with the help of graphical passwords that is image processing.The project's aim is to assist users in choosing and constructing a stronger password that cannot be easily compromised. This paper also talks about the clustering and recommendation of items that are bought by the user’s during online shopping. Item based recommendation is used so that unwanted items that are not relevant to the user’s shopping arenot recommended [Noise recommendation]. Multilevel clustering is used to cluster all the items and then group them. This project helps to avoid phishing attack.The attacker uses phishing e-mails to send different types of links or attachments that can be compromised, including credential details such as login details or account information of the user, in this type of cyber-attack.This method was introduced to overcome textual passwords, pins and other trivial passwords methods which were difficult to remember and prone to external attack. When a client forgets their password, they must create a new one that is both difficult to remember and easy to hack. A graphical password is easier to remember than a text password, and users can generate their own passwords using images. As a result, some researchers have proposed using a graphical password instead of a text-based one. As a result, several researchers have suggested graphical password as an alternative to text-based password. The user will select a particular part of the screen to confirm the process. We propose a framework having pixel correlation for user verification based on double hashing.
LibGuides: Online Databases and Electronic Resources: Geography & World Cultures

Find databases and other resources for researching that school project. Databases & Electronic Resources
Generated Themes of E-learning: Exploration of Students’ Challenges During Covid-19

Objective: To explore the perception of undergraduate nursing students of second-year courses regarding e-learning experiences, competencies, interests, and values and obtain suggestions for improving such practices organized during the pandemic crisis of Covid-19.Methodology: The present crosssectional descriptive study design attempted to investigate the undergraduate nursing students' experiences related to the quality dimensions of e-learning.Data were collected from 121 undergraduate students of a University in Saudi Arabia who completed a set of reflective questions.Findings: Four themes were generated; instructional immediacy, Self-confidence, Innovative navigation, High Versus Low Stakes Assignments, including the advantages, challenges, and recommendations, are also discussed.Novelty: The article demonstrates the domains of challenges that might impact students' experiences during e-learning amid Covid-19.
PEMEROLEHAN BAHASA IBU DAN INTELIGENSI ANAK DENGAN HASIL BELAJAR BAHASA INDONESIA

Abstract&#x0D; The purpose of this study was to determine the effect of Acquisition of Mother Language and Child Intelligence together on Indonesian Language Learning Outcomes. The results showed the effect of mother tongue acquisition and children's intelligence together on Indonesian learning outcomes with the regression equation Ŷ = 9.120 + 1.654X1 + 0.338X2, with a correlation coefficient = 0.884 with a significance level of  = 5% and the determinant coefficient = 78,10%. From the regression equation, it can be interpreted that the Indonesian Language Learning Outcomes score. The constant value = 9,120 indicates that the lowest mother tongue language acquisition (X1) and children's intelligence (X2) conditions do not allow the child to obtain high Indonesian Language Learning Outcomes (Y). The test results obtained regression coefficients of 1.654 and 0.338 indicating a positive effect. From the analysis of the scores on the Indonesian learning test results show that learninglanguage in Kindergarten is less directed towards developing language skills as a whole, but rather emphasizes receptive abilities; listening and reading are relatively good, while the ability is productive; speaking and writing is very lacking, because the child can speak fluently when doing free speech, but when talking is based on lesson themes, the child's speaking ability is a bit choked up, so is writing, because it is only intended to train the child's fine motor skills not intended to develop language skills.