Reviewerly/exHarmony huggingface dataset:
MORFOLOGÍA DE PATRONES LOCALIZADOS BIDIMENSIONALES DE UNA ECUACIÓN DE SCHRÖDINGER NO-LINEAL GENERALIZADA

A qualitative morphological classification is performed on a sample of hundreds of two-dimensional patterns found by numerically solving a nonlinear generalized Schrödinger equation within a region of parameters where these patterns coexist with non-trivial homogeneous solutions. The patterns found range from those very simple to others more complex. Apart from the shape, each pattern is also characterized by its chaotic content. Likewise, the interaction of the different pattern types is observed.
Literacy Level and Self-Perceived Confidence of using Office Suite Applications among First Year Postgraduate Medical Students

Purpose: Basic knowledge of Office Suite Applications (OSA) such as Word Processor, Spreadsheet and Presentation Software is necessary for medical-postgraduate students for their academic and research activities. Our aim was to explore the literacy and self-perceived confidence of the medical-postgraduate students at entry level regarding OSA in a medical college in Delhi.Methodology: A cross-sectional study was conducted among the first-year postgraduate students in a medical college in Delhi using a self-administered, structured and pre-validated questionnaire. A Likert scale was used to assess self-perceived confidence among the students. Responses to questions related to various OSA were scored to identify the literacy score for the application. Mann-Whitney U test was applied to find out significance of the observed differences between the median (IQR) literacy scores of the students regarding OSA based on their self-perceived confidence and previous use of the applications.Results: Median (IQR) literacy scores of the students for Word Processor was 2.0 (2.0- 3.0), Spreadsheet was 1.0 (0.0-2.0) and Presentation Software was 3.0 (2.0-4.0). The difference in the median scores of various OSA was statistically significant (Kruskal Wallis test P value &lt;0.001). Although, majority perceived themselves to be confident about the use of Word Processor and Presentation Software, there was no significant difference in their median (IQR) scores over the students who reported themselves to be unconfident about those two OSA.Conclusion: Training medical postgraduate students to use the OSA and boost their self-perceived confidence in using them is required.
Game Changer in Cybersecurity: Quantum Cryptography

With digital technology and increasingly linked economies comes a new set of risks from a slew of cyber-attacks. To improve cyber resilience, a cybersecurity capability system comprised of People, Process, and Technology is required to control the ongoing advancement of science and technology, particularly the quantum computer. As a result, attempts have been undertaken to lay new groundwork for cryptography research in computer communication networks. One of these attempts resulted in the creation of quantum cryptography technology, the security of which is based on quantum mechanics rules. Cyberspace security has emerged as the most important problem for the Internet in the foreseeable future. The objective of this research paper is to discuss the flaws and security problems in contemporary encryption, quantum cryptography essential concepts, real-world application use of this technology, and lastly the future direction of quantum cryptography.
Implementation of rapid application development methods and reminder systems in the development of inventory information systems (case study: sansaquaman aquascape store)

Aquascape is a new thing that is very popular in this pandemic era, the number of people who are interested in making this aquascape creates a fairly large business opportunity during this pandemic. The business of selling aquascape accessories has quite a big opportunity because of the many enthusiasts in making aquascapes. Sansaquaman is one of the shops engaged in the sale of aquascape accessories. The large number of buyers of goods in this store has resulted in several problems, such as employee errors in entering goods, calculating the stock of goods and also in ordering to suppliers. Therefore, there is a need for a system to overcome some of the problems that exist in the Sansaquaman store in order to minimize human errors, errors in calculating inventory stock and ordering goods to suppliers. In this study using the Rapid Application Development (RAD) method, so that in making the system it can be in accordance with user requests and in a short time. In this study also used 2 tests, namely the User Aceptance Test (UAT) and blackbox with the results of the User Aceptance Test from 3 users, namely 95% employees, 93% suppliers and 92% operators, while the black-box test got a value of 100%.
PERBANDINGAN MODEL REGRESI WEIBULL DAN REGRESI COX PROPOSIONAL HAZARD

This study aims to determine the model of Acute Myocardial Infarction using the Weibull Regression and Cox Proportional Hazard Regression methods to determine the factors that significantly influence the length of time for recovery of acute myocardial infarction patients. The results of this study indicate that the factors that significantly influence the recovery time of acute myocardial infarction patients are age, onset, number of secondary diagnoses and duration of pain. Based on the AIC value, the Weibull regression model is the best regression model because the AIC value is smaller, namely 292.883 compared to the Cox Proportional Hazard regression model with an AIC value of 493.3971
Keamanan Penggunaan Antiglukolan pada Pasien Rawat Inap Stroke Iskemik dengan Atrial Fibrilasi

Atrial fibrillation can cause stroke due to blood stasis in the left atrium which triggers thrombus formation and embolization of the brain. Administration of anticoagulants is used to prevent clot formation to prevent the occurrence of stroke, but on the other hand, it is associated with the risk of bleeding side effects. This study aims to evaluate the safety of anticoagulants in ischemic stroke patients with atrial fibrillation. The study used a cross-sectional design. Retrospective data were taken from the medical records of RSUP Dr. Sardjito, Yogyakarta period January 2018 to December 2020. The research subjects were ischemic stroke patients with atrial fibrillation. Evaluation of the safety of anticoagulants includes the number of major and minor bleeding events in each type of anticoagulant and the factors that influence the occurrence of bleeding. A total of 70 patients met the study inclusion criteria. Bleeding occurred in 41 cases (58,57%). Major bleeding was 28 patients (40%) and minor bleeding was 13 patients (18,57%). The most common anticoagulant that causes bleeding is warfarin. Multivariate test of the factors that influence the occurrence of bleeding in kidney failure (OR = 5,990; 95% Cl 2,002-17,920; p = 0,001). Monitoring the side effects of anticoagulants, especially warfarin is necessary. Pharmacists can play an important role in monitoring and preventing bleeding events by taking into account risk factors, especially kidney failure.
Challenges of learning through smart phones

Education and training is the process by which students learn in various ways.Mobile learning, or "M-Learning", offers modern ways to support learning process through mobile devices, such as handheld and tablet computers, MP3 players, smart phones and mobile phones.This article focuses on the concept of mobile learning for teaching learning purposes.The impact of mobile or Smartphone in our life is immense.The paper is to describe the meaning, value, benefits, challenges and progress to support teaching and learning.Mobile learning is the ability to obtain or provide educational content on personal pocket devices such as PDAs, Smart phones and mobile phones.The mobile user experience is different from the desktop computer experience and the face-to-face experience, however mobile learning can be used to support both as well as standing alone.
New media technology in university libraries: Panacea for development of sustainable digital economy in Nigeria

The paper focused on new media technology in university libraries: panacea for development of sustainable digital economy in Nigeria.It dealt extensively on new media technologies such as web 2.0, library 2.0, social media, blogs, mobile technology as well as cloud computing technology; detailing how each of these are applied in library services.Digital economy which is also known as the Internet economy, new economy or web economy, is an economy that is based on computing technologies.It has been established that impact of knowledge, educational attainment and intensity of research and development results in economic growth.The concept of digital economy, research productivity, impact of new media on research productivity, impact of new media on digital economy, the state of digital economy in Nigeria as well as efforts made in adopting new media in Nigerian university libraries are discussed.Challenges of adopting new media in Nigerian university libraries were highlighted which include: poor digital literacy skills among librarians, poor ICT infrastructural facilities and shortage of funds among others.
Study of Unified algebra

I present a unified algebra that includes what are commonly called boolean algebra, number algebra, sets, lists, functions, quantification, type theory, and limits; this mathematics forms the foundation for much of computer science.I present the notations and the rules for the conduct of algebra, but it is not the purpose here to explore the possibilities for their use.I am laying foundations, not building upon them; I am designing the instrument, not playing the music.To appreciate the algebra, I rely on the reader's experience in using algebra.
Why &amp;#8216;open science&amp;#8217; is actually pretty good politics

How does the word ‘open’ modify terms such as ‘data’, ‘source’ ‘access’ and ‘science’? What is openness actually &lt;em&gt;doing &lt;/em&gt;to these terms? This seems to be a subject of continual debate on social media, at conferences and in the scholarly literature. For the most part, it seems that the debate has moved on from the idea that there can be a strict definition of open access, data, etc.
Trademarks Extraction and Classification from the British Mandate’s Palestine Gazette

This paper investigates the digitization and analysis of trademark registration notifications in "The Official Gazette" during the British Mandate in Palestine from 1917 to 1948. We address the challenges of digitizing poor-quality scans and evolving newspaper structures. By examining similar digitization projects, the study explores techniques to improve Optical Character Recognition (OCR) accuracy. Manual analysis was conducted to assess algorithm performance. The identification rate for matching trademarks with their images was 86.6%, with an algorithm identification rate of 83.29%. There was a positive correlation between matching effectiveness and publication date, with accuracy improving over time. The research contributes to understanding the history and cultural dimensions of Mandate Palestine, emphasizing the significance of digitization for intellectual property preservation. Our research reveals that the deteriorating efficiency of a newspaper-analyzing algorithm over time may lead to a chronological bias, skewing historical data towards more recent periods, a critical factor we aim to document and highlight for more accurate and balanced historical research.
Korean Relation Extraction Method based BERT using Distant Supervision

관계 추출 작업은 다양한 자연어 처리 분야에서 사용되며, 특히, 지식 그래프 구축의 필수 작업 중 하나이며 개체 간의 올바른 관계 정의가 지식 그래프의 성능에 영향을 미치기 때문에 높은 성능이 요구되는 작업이다. 그 중, 최근 활발히 연구되고 있는 신경망 모델을 이용하는 관계 추출 작업 방법은 원거리 감독 방법을 이용해 학습 데이터를 손쉽게 구축할 수 있다. 본 논문에서는 개체명 인식 처리 방법을 이용하여 한국어에 적합한 원거리 감독 방법과 BERT 모델을 이용한 한국어 관계 추출 방법을 제안한다. 그 결과, 개체명 인식 처리 작업과 원거리 학습 방법을 통해 생성된 총 362개의 관계로 정의된 183,535개의 학습 데이터를 이용하여 학습한 경우, Focal 손실 함수가 74.17%의 성능으로 70.75%의 교차 엔트로피 손실 함수 성능에 비해 높은 성능을 보였음을 확인하였다. Relation extraction task are used in various natural language processing tasks, and in particular, this task are one of the essential tasks of building knowledge graph and is one of the tasks requiring high performance because the correct definition of relation between entities affects the performance of the knowledge graph. Among them, the relation extraction task using the neural network model require a large amount of learning data can be easily constructed using the distant supervision methods. In this paper, we propose a distant supervision method suitable for Korean using the named entity recognition processing and a Korean relation extraction method using the BERT model. As a result, when training using 183,535 data defined by a total of 362 relation generated through named entity recognition processing and distant supervision, the focal loss function showed performance of 74.12% and higher performance than the cross entropy loss performance of 70.75%.
Automatic Composition of Music Using a Genetic Algorithm, Emotional Musical Theory and Machine Learning

This work proposes a mathematical model for computer-aided music composition as a multi-objective optimization problem. This work aims to create a framework to automatically generate a set of songs with two melodies by combining a genetic algorithm with machine learning. Musical patterns were studied [16, 6, 18, 2] to simplify them and apply them for the construction of the optimization model. This work uses recent emotional music theory to construct the optimization problem [11]. Three conflicting objective functions represent the desired characteristics of the melody to be created: (1) song happiness, (2) song minimalism, and (3) song genre. Two of these objectives are analytically designed, fulfilling well-studied features like those in [14, 25, 11]. The third objective function was developed using a machine learning model like in [5, 8, 27]. The software JSymbolic is used [15] for extracting features in real-time and getting the score with the machine learning model trainer in the present work. The results obtained by this work can be listened to by test examples presented in a video format
Psychological First Aid In The COVID-19 Context: Theoretical Review

The objective of this study was to carry out a theoretical review of the protocols, guides and manuals of Psychological First Aid developed in the COVID-19 context. It was a theoretical study, carried out by searching for articles in the following databases: Web of science, Dialnet, Google Scholar, Science Direct, E-spacio and Redalyc. The articles located that met the inclusion criteria were classified into sections according to their characteristics. It was possible to conclude that the different classifications allow the population to apply PAPs in situations that require it, as in the case of the COVID-19 pandemic; however, the need to increase the development and unify the action protocols is evident in order to uniformly attend the possible repercussions of the crises; as well as to ensure the evaluation of the results of these applications in a more effective manner.
PKM PENINGKATAN KETRAMPILAN LITERASI DIGITAL PEMUDA KARANG TARUNA DESA PULUTAN KECAMATAN REMBOKEN KABUPATEN MINAHASA

A youth group in Pulutan Village, Minahasa Regency, benefited from mentoring and training to improve their digital literacy skills as part of a community service project. The inability of Pulutan village youth to run digital applications is the driving force behind these instructions. In addition, untrue news can be detrimental to society, which is very easy for individuals to digest because of the widespread spread of HOAX among teenagers. The objectives of this PKM include the following: 1) encouraging youth to be more proficient in using applications through multimedia training 2) educating the public about how to use digital literacy to filter information circulating in society; 3) offer opportunities and work experience to lecturers and students; and 4) encourage collaboration with various related parties, especially youth organizations to promote Manado Open University to the wider community. Lectures and training are the means to achieve the objectives of this PKM. Lectures and group discussions are used to present training-related materials. After that, more direct instructions were carried out with hands-on experience. Overall, the results of the PKM activities were positive and satisfying. One of the elements that was successfully carried out effectively in this activity was the achievement of the activity objectives, and the other element was the achievement of the intended material objectives
Incentivising best practice in research data sharing: Findings from an experimental approach

<p class="first" id="d1105082e66"/><p id="d1105082e67">Sharing research data in repositories is considered best practice as it supports the FAIR principles but most researchers share data by other methods. At PLOS, which mandates data sharing, supporting information is the most common method of sharing. To incentivise use of repositories we introduced 2 solutions: Dryad repository integration with our manuscript submission system and an "Accessible Data" icon added to articles that link to data in a repository. Dryad integration use was below expectations (~2% of authors). Among those aware of the feature (53%), only half understood how to use it. Other common reasons for not using it were data already uploaded elsewhere, concerns about others using the data, lack of time, and too much effort required. Other challenges related to sharing included the resources required (time/money), discovering sharing requirements late in the research process, and a feeling that their data wouldn’t be used. Even if the awareness and understanding challenges are addressed, these more broad challenges to repository sharing still pose barriers. ~3500 articles received the Accessible Data icon. Author surveys revealed moderately high awareness (69%), however, those aware of the feature weren’t more likely to share data in a repository. Some researchers felt this feature made shared data more prominent and would help normalize the practice. The Accessible Data icon doesn’t address the challenges authors feel about sharing in a repository, including resources required and potential misuse of the data, and may be exacerbated these by making it easier for others to access the data. <p id="d1105082e69"/><p id="d1105082e70"/><p id="d1105082e71"/>
Toward Generalizable Facial Presentation Attack Detection Based on the Analysis of Facial Regions

In the last decade, breakthroughs in the field of deep learning have led to the development of powerful presentation attack detection (PAD) algorithms which reported reliable performance across different realistic scenarios. Typically, most of these techniques analyse the full face to detect attack presentations (APs), ignoring that the attributes or artefacts produced in the fabrication of the attacks vary their location on the face depending on the presentation attack instruments (PAI) species, subject and the environmental conditions. In addition, they still fail to categorise bona fide subjects who inadvertently occlude their face with accessories such as glasses, scarves or masks to prevent respiratory infections. To mitigate these issues, this paper explores the utility of using different facial regions for PAD. In this context, a new metric, Face Region Utility, is proposed, which indicates the usefulness of a particular test region to spot an attack attempt based on another training region. A thorough evaluation in challenging scenarios on well-known databases shows which face regions can successfully substitute the full face to detect APs in scenarios where pristine subjects use some of the mentioned accessories: up to a 67.73% of detection performance improvement is yielded by applying our proposed analysis when pristine subjects wear masks to prevent respiratory infections.
WiVi-GR: Wireless-Visual Joint Representation Based Accurate Gesture Recognition

Human gesture recognition provides great potentials in Human Computer Interaction (HCI), and the wireless or visual signals based technologies have been explored in their respective fields. The intrinsic characteristics of both modalities are complementary to each other, e.g. the wireless signal is robust to illumination changes and occluded conditions but suffers from low space resolution, while the visual signal has high space resolution but vulnerable to scenario variations. Intuitively, integrating the two modalities has potential chance to improve the overall discriminative power. However, existing multi-modal fusion methods could not fully exploit their complementarity to achieve accurate estimation, and also lack physical interpretability. In order to solve this issue, we introduce WiVi-GR: a Wireless-Visual joint representation based accurate Gesture Recognition system, which constructs a complete velocity representation to guarantee robust and accurate gesture recognition. Specifically, we analyze the complementarity of the two modalities in data dimension and spatial-temporal feature resolution, and propose an Interpretable Orthogonal Representation (IOR), which applies multi-channel coding to get image plane velocity, utilizes frequency domain analysis to get radial velocity, and aggregates both to achieve the complete representation of the dynamic pattern. Based on the IOR, we perform a data-level fusion with channel superposition convolutions to accomplish the accurate gesture recognition task. Experimental results show that the proposed WiVi-GR outperforms traditional multi-modal approaches by large margins, especially in small training sample set condition.
Analysis of non-domestic water needs tourism sector for accuracy of clean water supply system in Gianyar District

Gianyar is one of the regencies which are the main tourist destinations in the Province of Bali, with the icon of the Ubud tourism area which is one of the tourist areas which is already very well known in foreign countries. The increase in tourist visits, both domestic and foreign, certainly brings prosperity to the community and also to the government. Fulfillment of all the necessary facilities for the world of tourism should be a serious concern of the government so that tourists feel at home when visiting Gianyar. One very basic factor that needs serious attention is the availability of clean water. So far, the allocation for non-domestic water needs (schools, government, trade, social and tourism) has only been determined based on the percentage of domestic water needs based on the decision of the Directorate General of Human Settlement with an amount of 20-25% of domestic water needs. Looking at the existing conditions in the field and with the development of tourism facilities, it certainly requires a more accurate calculation related to the predetermined percentage of non-domestic water needs.
On Graph-based Reentrancy-free Semantic Parsing

Abstract We propose a novel graph-based approach for semantic parsing that resolves two problems observed in the literature: (1) seq2seq models fail on compositional generalization tasks; (2) previous work using phrase structure parsers cannot cover all the semantic parses observed in treebanks. We prove that both MAP inference and latent tag anchoring (required for weakly-supervised learning) are NP-hard problems. We propose two optimization algorithms based on constraint smoothing and conditional gradient to approximately solve these inference problems. Experimentally, our approach delivers state-of-the-art results on GeoQuery, Scan, and Clevr, both for i.i.d. splits and for splits that test for compositional generalization.