Reviewerly/exHarmony huggingface dataset:
Stopping the Spread? Enhancing Legal Frameworks for the Protection of Personal Information in the Context of COVID-19 Contact Tracing

Personal privacy versus public safety is a rights trade-off that has been brought into sharp focus by the COVID-19 pandemic, with flow-on implications for the success of contract tracing regimes implemented across Australia. These contact tracing regimes depend upon the supply of accurate information by individuals, which in turn depends upon the trust that is placed in health authorities and other government officials to handle personal information with care. A range of different laws govern the collection and use of personal information by health authorities at the federal level and in each Australian state or territory. Understanding these rules might help us to work out ways to ensure that everyone in our community feels like they can tell the truth when it matters most. Using a case study from South Australia, this article reviews existing legislative, regulatory and policy frameworks that currently apply to the collection and use of personal information in health care and highlights the tension between creating incentives to share personal information and policing compliance with COVID-19 laws and ensuring robust legal protection for sensitive personal information. Relevant lessons from the South Australian experience are then extrapolated for consideration by other Australian jurisdictions, with a view to identifying what safeguards and protections could be included in current legal frameworks governing the use, sharing and disclosure of personal information in health care settings to help resolve the current tension between protecting individual privacy and promoting public health.
INTEGRASI CENTRAL AUTHENTICATION SERVICE (CAS) DENGAN FREERADIUS SEBAGAI SINGLE-SIGN-ON

The evolution of information technology has made lots of organizations use web-based applications to improve their work performance. Using two or more web-based applications in an organization makes users have to remember more than one account to log in to the websites. This is certainly ineffective, and it takes technology that can make users to access all existing web applications using one account. The technology commonly used is the Single-Sign-On (SSO) technology. In this study, the Single-Sign-On protocol that was developed was the Central Authentication Service or CAS. To implement a centralized authentication system, FreeRADIUS is used as an authentication server and authentication protocol. To make both technologies work, this study will explain how to integrate SSO with CAS protocol as SSO and FreeRADIUS as authentication server, to create SSO based on CAS and FreeRADIUS. Success is determined in the login and logout process. After the user has logged into the SSO portal, the user can access all existing web applications.&#x0D; Keywords - Central Authentication Service (CAS), FreeRADIUS, Single-Sign-On (SSO).
The Application of Task-Based Language Teaching in the Teaching of English for Special Purposes

With the deepening of higher education reform in China, higher education starts to focus more on the comprehensive training of talents, therefore many innovative teaching methods have been integrated into the higher education system, importantly, in English teaching, which is one of the important skills that modern talents should have. In the teaching of English for special purposes, the traditional teaching mode should be replaced with the task-based language teaching mode, where scientifically carry out teaching work based on the specific tasks and goals. This paper analyzed the connotation of task-based language teaching, and the significance of this teaching application in English for Special Purposes. Further, the purpose to study the application strategies of task-based language teaching in English for Special Purposes were also discussed in this paper.
Research methods in teletandem context: approaches and possibilities

The purposes of this paper are to (i) show how research in teletandem has been carried out over the years since the beginning of the Project Teletandem Brasil: Foreign Languages for All; (ii) relate the context to the possibilities of data collection; (iii) discuss methodological approaches applicable to teletandem; (iv) introduce MulTeC (Multimodal Teletandem Corpus) as an alternative for diverse types of research. We empirically demonstrate data from theses, dissertations, and papers related to methodology; present approaches of methodological research from quantitative and qualitative perspectives, presenting characteristics of each; discuss how viable individual data collection is; demonstrate how MulTeC (Multimodal Teletandem Corpus) may help researchers and be used as a model for future data collection. Finally, we share some current research using the mentioned corpus in an attempt to show an array of possibilities both from the qualitative and quantitative perspectives.
The All-Media Communication Path of Major News Reports

Due to the emergence of new media, traditional media is in urgent need of reformation and transition. Traditional media faces many challenges in terms of reporting major news. This is because information can be disseminated and be distorted due to the presence of new media. In order to explore major news broadcast transmission path in the media environment, this article adopts the way of theoretical analysis. The present situation of development of the media industry were first analyzed. Then, the reasons of all media dissemination of major news reports were analyzed. The path of major news dissemination using all media was then suggested in order to improve the broadcast of major news reporting and complete the publicity coverage.
Design and Evaluation of Mobile-Based Applications for Supporting Malaria Surveillance Activities in Indonesian Regions

In malaria elimination programs, surveillance is a critical component. In Indonesia, an electronic information system was created to carry out malaria surveillance inthe form of a structured excel file as part of an attempt to enhance the validity andcompleteness of reporting malaria data. However, the use of this method hasseveral obstacles that are still felt by health workers. This study designed anAndroid-based malaria surveillance application as an alternative solution to themethod that has been applied. The evaluation results show that the overall impression of this application is very good (mean, median (on a 9-point scale) andstandard deviation equal to 6.84, 6.88 and 0.29, respectively). This means that ingeneral, health officers as application users are satisfied with the applications that have been developed. Keywords: malaria, surveillance, Android, design,evaluation
Pengaruh Knowledge Sharing Terhadap Kinerja Laboratorium Pengujian; Pelajaran Dari Implementasi Standar ISO/IEC 17025 Pada Divisi Concentrating PT. Freeport Indonesia

Performance of the laboratory in general is shown by the quality of the test results that have been carried out by the laboratory, this is determined by how the laboratory can produce test results data that are technically correct and accountable. This study aims to identify the effect of knowledge sharing as a factor in increasing the performance of the testing laboratory directly or indirectly through the implementation of the ISO/IEC 17025 standard and determine strategies to improve the performance of the testing laboratory Concentrating Division of PT Freeport Indonesia. Research data were collected from 73 respondents are employees who work actively in the laboratory. The research method uses Structural Equation Modeling-Partial Least Square (SEM-PLS). The results of this study indicate that the knowledge sharing factor does not have a direct and significant effect on laboratory performance but has a significant effect through the implementation of the ISO/IEC 17025 standard. In addition, laboratory performance is positively influenced by the implementation of technical requirements which is one of the clauses of the ISO/IEC 17025 standard. The results of this study are expected to make an important contribution to the Concentrating Division management as decision and policy makers, especially for the competency development or laboratory performance by supporting the knowledge sharing process in the laboratory and understanding of ISO/IEC 17025. Keywords: ISO/IEC 17025, Knowledge sharing, Laboratory Performance, PT Freeport Indonesia, SEM-PLS
Sistem Informasi Perkiraan Produksi Kopi Robusta di Perusahaan Daerah Perkebunan Jember

Taxation process was used to determine coffee production target at Jember District Own Company-Estate. Taxation was conducted to count the number of coffee beeds in one particular plant. However, the use of taxtion in recent years has shown less-accurate counting result. It did not include the factors influencing the coffee production, such as the climate. The objective of this research was to design an Information System for determining the coffee beeds production. This system was able to help in determining the entire coofee production. The system was supported by forecasting process through double exponential smoothing by using the production data of the last 5 years. Information System employs rule base in determining the suitability by using 8 parameters. The determination of coffee production, land suitability, and inserting 23 parameters of plant treatment were processed using rule based inference system. The results of this research revealed that system accuration level migth be reached when a company performed factual data input. There was a significant gap between the data which used double exponential smoothing and Information System output. It was found that the quetionnaire-filling process was critical and must be supported by accurate data. Experts suggested that coffee production might be made to maximum level by optimazing the factors to determine coffee production. Keywords: coffee production, robusta coffee, forecasting, rule based system
GHOSTING DALAM PEMBELAJARAN ONLINE: SEBUAH PERSPEKTIF DARI SISI TUTOR

The Covid-19 pandemic caused many significant changes in the learning system. By the implementation of online learning policies, it raises its own problematics until the emergence of ghosting phenomena in learning. The ghosting phenomenon is seen as the inactivity of students in online learning. This study is a type of quantitative descriptive research using survey method with a sample of 1,974 tutors at the Open University. The data was collected through questionnaire instruments shared online with tutors. The questionnaire instrument is an open question and there is also a likert scale. As a support, also conducted interviews with several tutors. The sampling technique used is a random sampling technique. The results of this study inform that 94.43% of tutors have experienced the phenomenon of ghosting carried out by students while 5.57% stated that there is no ghosting phenomenon in online learning. Of the 94.43% who stated the occurrence of the ghosting phenomenon, 31.05% of them think that ghosting is a phenomenon of student inactivity in online learning (not responding when called and invited to discuss), 20.62% of other tutors believe the same thing even admits that the ghosting phenomenon is common in online learning, other tutors also revealed some things related to ghosting in online learning. Thus, learning strategies are needed to overcome the phenomenon of ghosting in online learning.
Difficulties in Using Articles among EFL University Students: An Experimental Study

Abstract&#x0D; Starting to learn English articles ‘a/an, the, and the zero article’ is a major challenge for English as a Foreign Language (EFL) students. Articles are very common morphemes, and their usage is difficult for EFL learners, and it usually causes even the most advanced non-native speakers of English (NNS) to commit mistakes. Iraqi EFL students have difficulties when using English articles. This may affect negatively their exam scores. The current study conducted in the Department of English, College of Education for Women, University of Baghdad, Iraq. This research highlights Iraqi EFL first-year students’ mistakes and difficulties in using English articles. The study aims to investigate these mistakes and tries to find an appropriate solution for them. To fulfil the aims of this study, the researcher adopted pre and posttests as instruments for collecting data. The data has been analyzed by the statistical program SPSS. This study identifies the difficulties that are encountered when Iraqi EFL students use English articles.
The Accelerative of Speaking Progress on the Information Implemented

This study focused on the effect of using Information Gap. The students must use the target language to share that information. The contextual and situational could be drawn as follow; one student has the directions to a party and must give them to a classmate. With information gap give each student has an opportunity to speak in the target language and students naturally produce more speech than they would otherwise and in this activity the students must make what they are saying comprehensible to others. As a result, Information Gap can improve students’ speaking. The research methodology used was Qualitative through Class Action Research Design. The Population and sample were taken from the first grade students of MTs. Al Washliyah. The Data showed that the implementation of information gap significantly affect the improvement and progress of students speaking willingness and competency. The challenging in thinking accelerated the students’ motivation in speaking English critically. The speaking phenomenon could be an interested research topic which were super challenging on the forming of English Teaching strategy and communicative technique.
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval

Training dense passage representations via contrastive learning has been shown effective for Open-Domain Passage Retrieval (ODPR). Existing studies focus on further optimizing by improving negative sampling strategy or extra pretraining. However, these studies keep unknown in capturing passage with internal representation conflicts from improper modeling granularity. This work thus presents a refined model on the basis of a smaller granularity, contextual sentences, to alleviate the concerned conflicts. In detail, we introduce an in-passage negative sampling strategy to encourage a diverse generation of sentence representations within the same passage. Experiments on three benchmark datasets verify the efficacy of our method, especially on datasets where conflicts are severe. Extensive experiments further present good transferability of our method across datasets.
Intelligent Access Control System Based on Voiceprint and Voice Technology

This system used STM32H750XBH6 as the main control, and ART -Pi multimedia expansion board equipped with ILI9488 capacitive touch screen, WM8988 audio chip and GC0328C camera. It realizes recording, recognition, display, imposter capture and telescopic rod connection for door lock control. Based on convolutional neural network (CNN) and STM32 Cube. AI toolkit, voiceprint model was built and deployed to STM32H750XBH6. Combining Mel-Frequency Cepstral Coefficients (MFCC) and DTW algorithm, voice recognition function was realized. Through dual authentication of voiceprint verification and voice recognition, the system guaranteed high security. What is more, the system was equipped with a WIFI module, and the administrator can log in to the Onenet website to view the access control information. If there are three consecutive recognition errors, the system automatically capture the person and save the fake authentication certificate. After several improvements, the system can operate normally. The accuracy rate of voiceprint recognition and voice recognition were 97.83&#x0025; and 96.00&#x0025; respectively and the overall accuracy rate was 93.50&#x0025;. Compared with traditional password access and card access, the system did not have problems of leak and lose. It provided users with high-security, true-intention, low-cost, and weak-privacy authentication services.
Design of high-performance message middleware based on netty

Abstract As the number of sensors connected to the IoT cloud platform increases, the incoming data continues to increase, and the server may crash due to excessive traffic. In order to solve this problem and ensure the accuracy of the data received by the server, this paper designs a message middleware based on Netty. Message middleware is widely used in many systems, using message queues to achieve asynchronous communication and traffic peak reduction, and solve the problem of high data concurrency. Compare the mainstream messaging middlewares, select ActiveMQ middleware, design the consumer model according to the characteristics of the protocol, and perform idempotence processing on the consumer side to improve the reliability and security of the middleware.
Hierarchical Clustering Algorithm for Anomaly Detection on Intelligent Production Line

The technology of &#x201C;intelligent manufacturing&#x201D; has been developing rapidly in recent years. The intelligent production line, as the bearer of &#x201C;intelligent manufacturing&#x201D;, has promoted the intelligent development of the manufacturing field. However, in the process of intelligent production line operation and maintenance, the sensing data will change with the change of equipment status. Only by accurately identifying abnormal data and prioritizing its transmission to the monitoring equipment can we quickly sense the status of the equipment and make its maintenance plan. Aiming at the problems of high parameter sensitivity and influence by the shape of data samples when we use traditional clustering algorithms to identify abnormal data, this paper proposes a hierarchical clustering algorithm H-DBSCAN for anomaly detection on intelligent production lines. The algorithm is based on the KNN algorithm to obtain the optimal parameters to reduce the parameter sensitivity. And the multi-density clustering of data is accomplished by using multi-layer density for noise clustering with a reasonable fusion of small clusters of linked weights. The experimental results show that the H-DBSCAN algorithm can reduce the influence of input parameters and sample distribution on clustering results, maximize the accuracy of clustering, meet the needs of intelligent production lines for efficient detection of abnormal data, and achieve full automation of data analysis.
Pembelajaran Berkarakter Inovatif Abad 21 pada Materi Akuntansi Persediaan dengan Model Pembelajaran Daring Di SMKN 1 Dukuhturi

The Covid-19 pandemic has had a major impact on various sectors, one of which is education. The world of education is also feeling the impact. Educators must ensure that teaching and learning activities continue, even if learners are at home. The solution, educators are required to design learning media as innovation by utilizing online media . The learning system is carried out through a personal computer (PC) or laptop connected to an internet network connection. Educators can do learning together at the same time using groups on social media such as WhatsApp (WA), telegram, instagram, zoom application, Googleclassroom or other media as a learning medium. Thus, educators can ensure learners follow learning at the same time, albeit in different places. Educators can also provide measurable tasks in accordance with the purpose of the material delivered to learners Blended learning combined with limited face-to-face play may be used as a learning model applied in SMKN 1 Dukuhturi.
Multimedia Augmented and Virtual Reality Human-Computer Interfaces Keynote Abstract

Human communications is actually mediated by a surprisingly limited bandwidth set of output capacities, despite having the capacity for high bandwidth input sensation and perceptual channels.Despite this, the richness of communications spans all of Multimedia and carries all the richness of expression, from the Arts to the Sciences.One novel multimedia channel is through the use of shared virtual worlds.Yet AR/VR is like a double-edged sword: Displays can be compelling and powerful yet when certain design principles are violated, they can be confusing and unusable.We explore some of the reasons for this, from the perspective of Human-Computer Interaction, which necessitates a design process that is informed by basic scientific results from the noverlapping domains of Perception, Action, and Cognition.This keynote lecture will explore the special "capacities and constraints" of these three basic subsytems.The talk will then examine some of the implications and fundamental concerns for general AR.The talk will focus on the implications for particular applications in various Multimedia applications, and some which are specialized for Surgical Planning, Guidance, and Targeting, with case studies drawn from published papers on the use of AR for Neurosurgery.
Android-Based Surigaonon Dictionary and English-Sinurigaonon Translator Application

Surigao is well known in terms of Tourist spots especially Siargao. A lot of tourists –local and foreigners are attracted of its beautiful scenery. However, they have difficulty in conversing with the locals since most of them do not know how to communicate using the English language. This study aimed to develop an Android-Based Surigaonon Dictionary and English-Surigaonon Translator Application for guest and travelers coming in and out of Surigao City. It was designed in an offline application platform so that users of smartphones do not have to worry in terms of internet connection. Descriptive developmental research design was utilized. The researchers used the different object-oriented modeling tools to design the system. There were 25 surigaonons, 13 tourists and 12 Information Technology experts evaluated the system using a modified 4 point-Likert scale questionnaire to determine the performance of the system in terms of Accuracy, Efficiency and Reliability. The evaluators of the study found out that the system is very accurate, efficient, and reliable for the users who wished to know more about the Surigaonon dialect.
ANALISIS PENINGKATAN FASILITAS KEAMANAN PEMUSTAKA DI PERPUSTAKAAN FAKULTAS KEDOKTERAN, KESEHATAN MASYARAKAT DAN KEPERAWATAN UNIVERSITAS GADJAH MADA DI ERA NEW NORMAL

This study aims to find out how to improve the security facilities of the FK-KMK UGM Library in preparing the infrastructure for user security facilities in the new normal era and to find out how the security facilities used in the FK-KMK UGM library in ensuring the safety of users in the new normal era. This research is a type of qualitative descriptive research. Data collection techniques are observation, interviews and documentation. The data analysis technique used in this research is data reduction, data presentation and conclusion drawing. Based on this study, it was concluded that the level of user safety in the FK-KMK UGM library in the new normal era can be seen from the adaptation efforts made by the library, from online and offline services and the availability of security facilities in the form of handwashing facilities, temperature measurement sites and the availability of hand sanitisers at each room.