Reviewerly/exHarmony huggingface dataset:
Gembil (Game Ibu Hamil) Application Based On Android In Increasing Knowledge Of Primigravida During The Covid-19 Pandemic In 2022

The existence of the Covid-19 pandemic has become one of the causes of changes in the health service order system, including one of the activities for pregnant women classes at health service facilities at the Puskesmas. The use of the internet has become a necessity in the last decade. Several studies also prove that the use of internet technology in social networking is effective in increasing knowledge, attitudes, perceptions, awareness and compliance in health. Therefore, the researchers tried to make the GEMBIL (Pregnant Mother Game) application. This study aims to produce a product in the form of the GEMBIL application (pregnant mother game) as an educational medium in the class of pregnant women, and to analyze the effect of using GEMBIL in increasing the knowledge of pregnant women about pregnancy, childbirth, postpartum and newborns. This is an analytical study with a quasi-experimental approach, using one group pre and post design. The research location is in the working area of ​​the Majasem Public Health Center, Cirebon City. The sample uses purposive sampling. Bivariate analysis using Wilcoxon. the feasibility test of material experts showed a value of 84.7% and media experts showed a value of 83.3%. The relationship between the use of the GEMBIL application and knowledge, shows a significance value of 0.005 (p&lt;0.05). The GEMBIL application is very feasible to be used as an appropriate technology medium in the implementation of online classes for pregnant women. There is a significant difference in knowledge between before and after attending an online class for pregnant women using the GEMBIL application.
Dominant Factors of Compliance With Health Protocol Implementation During The Covid-19 Pandemic at Tourism Place in Jambi City

Abstract&#x0D; The current handling of COVID-19 in Indonesia has entered a new phase, namely the new normal. This condition allows people to return to productive lives, while still complying with health protocols. Tourist attractions have the potential to become the locus of the spread of COVID-19 if there is a gathering of visitors while traveling, it is necessary to comply with the application of health protocols in order to break the chain of transmission of COVID-19. The emergence of the term Revenge Tourism or revenge tourism after the new normal was implemented, during the pandemic people felt bored doing activities at home until when there was a new policy, traveling was a way to reduce boredom while at home. The type of research used is observational with a cross sectional design. This study aims to determine the relationship between knowledge, trust and facilities with compliance with the application of health protocols during the COVID-19 pandemic at tourist attractions in Jambi City, the study was conducted at tourist attractions in Jambi City in June-August 2022. The population in this study are visitors to tourist attractions as many as 378 people. The minimum sample size is 345 people. Sampling using accidental random sampling method. Data were obtained through interviews with a questionnaire instrument. The data is processed using a computer device and then analyzed descriptively and analytically. The results of the statistical test showed that there was a significant relationship between knowledge (p = 0.007), trust (p = 0.000) and facilities (p = 0.003) with compliance with the application of health protocols during the covid-19 pandemic in tourist attractions in Jambi City.
Supplementary material to "Seismic Background Noise Levels in Italian Strong Motion Network"

Background Noise LevelFigure S1: Background noise levels of Italian strong motion network.
Falling for phishing attempts: An investigation of individual differences that are associated with behavior in a naturalistic phishing simulation

Social engineering cyber-attacks such as phishing emails pose a serious threat to the safety of many organizations. Given that the effectiveness of these attacks heavily relies on poor human decision making, an improved understanding of the individual characteristics that increase cybersecurity vulnerability could inform more targeted training. The current study aimed to identify whether several factors, including phishing email detection ability, confidence in one’s phishing identification decisions, attitudes toward one’s level of responsibility and efficacy, and employee satisfaction and loyalty to the organization, can predict behavior in a naturalistic phishing simulation in an employment setting. We followed up employees of a large organization who had been recently targeted by a phishing simulation and asked them to complete a survey that included a phishing detection task. The employee’s behavior in the phishing simulation was ranked according to its safety: reporting the suspicious email, neither reporting nor clicking on the embedded link, and clicking on the link. We found that fewer years of employment at the organization and lower employee satisfaction and loyalty predicted increasingly unsafe behavior in the simulation. This suggests that newer and unsatisfied employees are most vulnerable to phishing attempts and might benefit most from targeted cybersecurity training.
Recent Advance in Semi-Supervised Learning for Named Entity Recognition and Potential Clinical Applications

Named entity recognition (NER) is an important task for clinical knowledge discovery from electronic health records (EHRs). However, to protect the patient privacy, we want to minimize the annotation needs for NER system development. Therefore, advanced semi-supervised learning algorithms are required. In this paper, we reviewed the recent advance in semi-supervised learning for named entity recognition and discussed the possibility of application in the clinical NER system. We hope our discussions help the development or improvement for the clinical NER applications for other researchers.
Computational Processes for General Intelligence

&lt;p&gt;The ‘brain-mind-intelligence’ structure may be considered analogous to a ‘computer-operating system (OS)-application’ construct. Software development would be far more difficult without the benefit of abstractions like file and memory handles, and graphical user interfaces, implemented in operating systems. The easy access to application-level semantics, provided by the infrastructure of the OS, simplifies application development. Abstractions can play a similar role in producing intelligent systems. The power of abstractions may be determined by their ability to unify the treatment of several types of higher concepts. Unifying various concepts in the domain of intelligence, such as problems, solutions, objects, and emotions, through abstractions will be of immense value. This paper shows how ‘higher-level perceptions’ could be used to serve this objective and construct an OS-like infrastructure. With the infrastructure in place, ordinary software objects developed and deployed using standard methods, become accessible using the semantics provided by the infrastructure. Now, after brief training exercises, the objects would be available for intelligent use. The focus, therefore, is on the design of the infrastructure that could play a mind-like role in humans.&lt;/p&gt; &lt;p&gt;The design results in a new, non-symbolic, non-connectionist, transmutable method of representation, essential for intelligence. The new infrastructure enables the conversion of inputs to transmutable representations amenable to semantic modifications, to flexibly determine actions to perform on software objects developed externally. Thus, the new model overcomes major problems in learning and action selection, including brittleness, associated with the rigid semantics of symbolic and connectionist designs.&lt;/p&gt; &lt;p&gt;The new model is then evaluated in terms of features, against criteria set forth independently by Newell, Sun, Vernon, and others. In addition, a new measure of intelligence introduced in this paper is used to quantitatively compare the proposed model with some others developed over the years. &lt;/p&gt;
For Careful Slugs: Caring for Unknowing in CS (Computer Science)

Careful Slugs are metaphors that speculatively care for diverse practices within and alongside Computer Science. In this image-text paper we wonder with CS (Careful Slugs)––the materiality and metaphor that they generate as they encounter computational infrastructures, digital design, and interfaces. Through queer playfulness and promiscuous metaphorical practice, we propose CS as an opening metaphor for CS (Computer Science) departments where the hardened muscular lines of models and predatory based solutionisms beckon some defensive slime. As those that traverse ever-shifting and undone grounds, CS (Careful Slug) emerges from a critical disability studies perspective. We outline to practice, CS (Careful Slug) is to practice a slow “soft gooey”; to shield using protective mucous layers; to make chemical binds sticky enough to hold in-place inconclusively yet with possibilities of lubricating accountability. We invite you to sink with us into soft gooey worldings of slug-imaginings not to overburden the slug but to speculate how metaphors, might contribute to trans*feminist technoscience, accessibility, and CS (Computer Science) concerns.
Introduction: Metaphors as Meaning and Method in Technoculture

Metaphors are critical sites of analysis for feminist scholars of science and technology because of what they both conceal and divulge about the conditions of their historical emergence and the persistence of those conditions. As researchers and editors, we find ourselves oriented to work that takes up the task of contesting uncontested metaphors, considering how metaphor “invades” (Tuck &amp; Yang 2012, 3) and evacuates meaning. This Special Section carries on the dynamic practice in feminist STS of taking the work, and ambivalent potentiality, of metaphor seriously. In this Introduction, we draw together scholarship that informs what we identify as the "metaphor-work" of feminist STS—the work of allegory, myth, metaphor, figurative and associative discourse, and their analysis—as central to the methods by which we make and remake meanings that matter to feminist technocultures. Throughout the metaphor-work collected here, the contributors propose that paradigm change comes through the collective refusal of some metaphors, through the re-evaluation of others, and the introduction of new metaphorical frames and figures to reorient our work.
Design and Build a Web Service for Mobile Ecotourism in the City of Bogor Using the Rest . Method

&lt;p&gt;The tourism sector is one sector that plays an important role in economic growth in Indonesia. Improving services to tourists when traveling with the use of technology is one of the efforts to support the development of tourism in Indonesia. The eCotourism application is a mobile-based application that serves to provide services to tourists such as providing information about tourist locations, lodging locations, culinary locations, and souvenir locations. In addition, in the eCotourism application, several functions can provide services to tourists while traveling, such as a digital guide system using a QR code. However, in the development process, a system is needed that can provide services to the functions and data that exist in the eCotourism application. In this study, the system that will be created is a web service for eCotourism applications where the web service will function as a bridge for the process of exchanging data between eCotourism applications and the database. In addition, the web service that is built is also able to support the functions that exist in the eCotourism application and is multi-platform so that it can be accessed by various application platforms. The architecture used in making the web service is REST (Representational State Transfer Protocol) architecture which uses the HTTP method to process data exchange via URL (Uniform Resource Locator). Making a web service can help eCotourism applications in providing services to tourists when traveling by providing data and existing functions. In addition, making this web service is also able to integrate eCotourism applications with other applications.&lt;/p&gt;
The Effects of Code Switching in English Language Classroom during Online Distance Learning and its Effects on Executive Function Performance

There are many conflicting views on the usage of code switching (CS) in English Language classroom (ESL) as many believe that the target language, English, should be the medium of instruction.However, CS seems to be an alternative way in teaching English language to promote better understanding.Especially in this sudden outbreak of coronavirus pandemic, teaching and learning have been shifted to Online Distance Learning (ODL) to adapt to the new norm.This situation has made CS as an effective alternative in amplifying English language teaching and learning process.That is why Shartiely (2016) suggests that the implementation of CS will facilitate learning in language classes, Hence, this research aims to investigate the effectiveness of code switching in the learning and teaching of English language subject through Open Distance Learning (ODL).50 educators are required to answer a questionnaire consists of 20 questions which covers the frequency on the usage of CS and their opinion on the implementation of CS as an interactive tool in ESL classroom.Meanwhile, 372 students need to answer a questionnaire which consists of 20 questions on the implementation of CS as an interactive tool in the ESL classroom.It is hoped that the findings of this research could provide insights into the usage of CS in the teaching of English language as an interactive tool in online ESL classrooms.
A Primary School Case Study on Difficulties of Using the Digital Document as Evidence

In the 21 st century, papers are no longer simply created on paper and ink; they may also be extracted from discs, memory cards in computers, smartphones, and other devices and sent to other people in both tangible and intangible forms, such as electronic documents.The use of electronic documents has become so widespread that laws are developed to take them into account.In this age of big data, electronic documents have been acknowledged as a sort of documentary evidence, and regulations governing electronic evidence have been modified in terms of its authenticity and weight, or evidential value.In terms of law, documentary evidence is recognised as one type of evidence.Sekolah Kebangsaan (F) Bukit Jalor has been selected for this case study as a way to further explore these issues.This is relevant to the study's objectives, which include examining public servants' knowledge of the use of digital documents as evidence in governmental institutions, particularly in the field of education.The findings of the study employ SPSS as a tool for the purpose of measuring the discussed components.These includes concerning the issues of authenticity, acceptance, and admissibility of digital documents, as well as the method that is established for classifying digital documents, the pertinent aspects that are investigated for this study.The results of this study can be utilized to investigate the level of comprehension and awareness of digital document management as evidence among public officials in their respective areas of responsibility, which include the administration of schools as well as teaching and learning in schools in general.In conclusion, the respondent's grasp of digital documents and their level of awareness as evidence are commensurate with the progression of technology used in public services.
Indirect Learning Strategies of Mandarin as A Foreign Language Learners During Online Learning in COVID-19 Pandemic Period

The study seeks to investigate the indirect language learning strategies used by learners of Mandarin as a foreign language in an online learning environment during the COVID-19 Pandemic period.A simple random sampling was employed, and 445 Malay undergraduate students engaged in a Mandarin course in a Malaysian university participated by answering a questionnaire.The Strategy Inventory for Language Learning (SILL), developed by Oxford in 1990 was used to collect the data.To ascertain the pattern of indirect language learning strategies preferred by male and female degree students in the Mandarin Course, descriptive statistics were utilised in the study.The Independent Sample t-Test was also utilized to examine the significant differences between the indirect learning strategies used by the male and female degree learners.The results show that the metacognitive strategy is the favourite indirect learning strategy for Malay undergraduates, followed by affective strategies and social strategies.Additionally, regardless of gender, metacognitive strategy emerged as the most common learning strategy.However, results indicated that there were no significant differences between the metacognitive learning strategies employed by male and female degree students.These findings provide repercussions to Mandarin as a foreign or second language educators to assess existing teaching strategies to enhance the effectiveness in classroom which offer various learning strategies to make students better learners.
A HIGHER LEVEL SECURITY SCHEME FOR KEY ACCESS ON CLOUD COMPUTING

In this work, we construct a key access management scheme that seamlessly transitions any hierarchical-like access policy to the digital medium.The proposed scheme allows any public cloud system to be used private cloud.We consider the data owner an entity consisting of several organization units.We provide a secure method for each user of this entity to access the public cloud from both inside and outside the company's network.The idea of our key access control scheme, which is based on Shamir's secret sharing algorithm and polynomial interpolation method, is suitable especially for hierarchical organizational structures.It offers a secure, flexible, and hierarchical key access mechanism for organizations utilizing mission-critical data.It also minimizes concerns about moving mission-critical data to the public cloud and ensures that only users with sufficient approvals from the same or higher privileged users can access the key by making use of the topological ordering of a directed graph, including self-loop.Main overheads such as public and private storage needs are reduced to a tolerable level, and the key derivation is computationally efficient.From a security perspective, our scheme is both resistant to collaboration attacks and provides key in distinguishability security.Since the key does not need to be held anywhere, the problem of a data breach based on key disclosure risk is also eliminated.
CENTRALIZED DATABASE SYSTEM USING UBUNTU SERVER IN TECHNICAL IMPLEMENTATION UNIT OF INFORMATION AND COMMUNICATIONS TECHNOLOGY TADULAKO UNIVERSITY (UPT.TIK UNTAD)

UPT.TIK Tadulako University consists of several divisions, namely the Network division, Programmer, and Data Center and Website or Server Division.In this case, research is carried out related to the problems that exist in the Server division, namely in terms of not centralized databases.UPT.TIK Tadulako University does not yet have a centralized database system.This will certainly be a very ineffective and efficient job where the database server admin is required to login to each different server to process and maintain the data on each server at Tadulako University.Data collection techniques used in making a centralized server log system are interviews and literature studies.The data analysis method used in designing the system to be made is a quantitative data analysis method, called quantitative analysis because what is analyzed is data that is quantified with a mathematical model.
Rectifying Ill-Formed Interlingual Space: A Framework for Zero-Shot Translation on Modularized Multilingual NMT

The multilingual neural machine translation (NMT) model can handle translation between more than one language pair. From the perspective of industrial applications, the modularized multilingual NMT model (M2 model) that only shares modules between the same languages is a practical alternative to the model that shares one encoder and one decoder (1-1 model). Previous works have proven that the M2 model can benefit from multiway training without suffering from capacity bottlenecks and exhibits better performance than the 1-1 model. However, the M2 model trained on English-centric data is incapable of zero-shot translation due to the ill-formed interlingual space. In this study, we propose a framework to help the M2 model form an interlingual space for zero-shot translation. Using this framework, we devise an approach that combines multiway training with a denoising autoencoder task and incorporates a Transformer attention bridge module based on the attention mechanism. We experimentally show that the proposed method can form an improved interlingual space in two zero-shot experiments. Our findings further extend the use of the M2 model for multilingual translation in industrial applications.
Fuzzy MLKNN in Credit User Portrait

Aiming at the problems of subjective enhancement caused by the discretization of credit data and the lack of a multi-dimensional portrait of credit users in the current credit data research, this paper proposes an improved Fuzzy MLKNN multi-label learning algorithm based on MLKNN. On the one hand, the subjectivity of credit data after discretization is weakened by introducing intuitionistic fuzzy numbers. On the other hand, the algorithm is improved by using the corresponding fuzzy Euclidean distance to realize the multi-label portrait of credit users. The experimental results show that Fuzzy MLKNN performs significantly better than MLKNN on credit data and has the most significant improvement on One Error.
Three-Dimensional Dubins-Path-Guided Continuous Curvature Path Smoothing

This paper presents an efficient three-dimensional (3D) Dubins path design and a new continuous curvature path-smoothing algorithm. The proposed 3D Dubins path is a simple extension of the 2D path and serves as a reference path generator to guide the proposed smoothing algorithm. In the smoothing algorithm, the reference path is approximated by several cubic Bezier curves to generate a parametric path that simultaneously satisfies curvature continuity and maximum curvature requirements. The algorithm also provides a criterion to select a required number of Bezier curves to strictly meet the maximum curvature constraint. Therefore, our algorithm can be used for 3D path-following applications in many areas such as aerospace and robotics. The numerical simulation results show that the proposed algorithm produces a continuous curvature path that passes through all waypoints with a slight increase in path length compared with the original 3D Dubins reference path.