Reviewerly/exHarmony huggingface dataset:
21st-century readers: developing literacy skills in a digital world

Literacy in the 21st century is about constructing and validating knowledge. Digital technologies have enabled the spread of all kinds of information, displacing traditional formats of usually more carefully curated information such as encyclopaedias and newspapers. The massive information flow of the digital era demands that readers be able to distinguish between fact and opinion. Readers must learn strategies to detect biased information and malicious content like fake news and phishing emails. This report examines how students' access to digital technologies and training on how to use them vary between and within countries. It also explores how 15-year-old students are developing reading skills to navigate the technology-rich 21st century. It sheds light on potential ways to strengthen students' capacity to navigate the new world of information.
LibGuides: Risk Management: Websites

This guide is for the subject Risk Management. It contains resources available in the NCU Library.
Mobile Payment Using Blockchain Security

ABSTRACTBlockchain has become one of the most common methods for securing transfer data through decentralized peer-to-peer systems and has received extensive attention in recent years. Blockchain is an immutable ledger that allows the execution of a transaction in a secure and decentralized manner. This sophisticated but secure mechanism has an excellent reputation and has increased its customer base. Despite substantial attention, the blockchain system has many challenges that must be ad-dressed. This paper proposes a solution that provides a standard framework for mobile payments using blockchain technology. We further discuss security-related issues and attempt to determine the potential pitfalls with which such mechanisms can be exploited. We also investigate how popular currencies such as Bitcoin utilize security arrangements for safe transactions via mobile devices.
3ARVisualizer: Debugging 3D Models using Augmented Reality.

Often neglected in traditional education, spatial thinking has played a critical role in science, technology, engineering, and mathematics (STEM) education. Spatial thinking skills can be enhanced by training, life experience, and practice. One approach to train these skills is through 3D modeling (also known as Computer-Aided Design or CAD). Although 3D modeling tools have shown promising results in training and enhancing spatial thinking skills in undergraduate engineering students when it comes to novices, especially middle and high-school students, they are not sufficient to provide rich 3D experience since the 3D models created in CAD are isolated the actual 3D physical world. Resulting in novice students finding it difficult to create error-free 3D models that would 3D print successfully. This leads to student frustration where students are not motivated to create 3D models themselves; instead, they prefer to download them from online repositories. To address this problem, researchers are focusing on integrating 3D models and displays into the physical world with the help of technologies like Augmented Reality (AR). In this demo, we present an AR application, 3DARVisualizer, that helps us explore the role of AR as a 3D model debugger, including enhancing 3D modeling abilities and spatial thinking skills of middle- and high-school students.
Causally Constrained Data Synthesis for Private Data Release

Making evidence based decisions requires data. However for real-world applications, the privacy of data is critical. Using synthetic data which reflects certain statistical properties of the original data preserves the privacy of the original data. To this end, prior works utilize differentially private data release mechanisms to provide formal privacy guarantees. However, such mechanisms have unacceptable privacy vs. utility trade-offs. We propose incorporating causal information into the training process to favorably modify the aforementioned trade-off. We theoretically prove that generative models trained with additional causal knowledge provide stronger differential privacy guarantees. Empirically, we evaluate our solution comparing different models based on variational auto-encoders (VAEs), and show that causal information improves resilience to membership inference, with improvements in downstream utility.
A Quantitative Study on English Polyfunctional Words

This paper reports quantitative research on the parts of speech of English words using the data from British National Corpus. Most of the part-of-speech investigations focus on the rank-frequency distribution. However, in English and many other languages, we can find that partd of speech can be ambiguous. For example, hope can be a noun and a verb. Such words are called polyfunctional words, while other words, which belong to only one part of speech, are called monofunctional words. The number of parts of speech that a word belongs to is referred to as polyfunctionality. First, we study polyfunctionality distribution of English words and find that the Shenton-Skees-geometric and the Waring distributions capture the data very well. Then, we group words according to their part of speech,e.g., monofunctional nouns, like Saturday, and polyfunctional nouns, like hope (noun, verb) compose noun group, and try to work out a general model for all the groups. The result is that the extended positive binomial distribution captures all the groups except the article group, because of the sparsity of the data. Last, we study the diversification variants. Since there are polyfunctional words in each group, e.g., in a noun group, a polyfunctional noun may also be a verb, we consider the verb function as a diversification variant and try to model the rank-frequency distribution of variants with the Popescu-Altmann function, as used in the previous investigation. The results show very good fit for all groups exzept conjunction group.
DEVELOPING INDUSTRIAL SECTOR IN NIGERIA AND SME PERFORMANCE

The dwindling effect of industries on the growth of the Nigerian economy and SME performance prompted this study. Data was ascertained from Central Bank of Nigeria Statistical Bulletin and National Bureau of Statistics Publication. The Paper employed the OLS Technique to capture the effect of Small and Medium enterprise on Industrial growth.  The findings of OLS (Ordinary Least Square) test revealed that all the variables that mirrored Small and Medium Enterprise in Nigeria were significantly impacting on Industrial growth, only credit to Small and Medium enterprise and lending rate had same expectations as the former was sharing a positive relationship with Industrial growth and latter a negative relationship with Industrial growth. Therefore the paper concludes that the role of SME has dominated worldwide economic thinking with evident researches and surveys showing the impact of SMES and a driver of Growth.
LibGuides: LEE TEACHER RESOURCES: Digital Citizenship Teaching Resources

This is a ThingLink of materials from Common Sense Media that can be used to teach digital citizenship.
Neural Partial Differential Equations for Simple Climate Models&amp;#160;

&amp;lt;p&amp;gt;When predicting complex systems such as parts of the Earth system, one typically relies on differential equations which can often be incomplete, missing unknown influences or higher order effects. By augmenting the equations with artificial neural networks we can compensate these deficiencies. The resulting hybrid models are also known as universal differential equations. We show that this can be used to predict the dynamics of high-dimensional chaotic partial differential equations, such as the ones describing atmospheric dynamics, even when only short and incomplete training data are available. In a first step towards a hybrid atmospheric model, simplified, conceptual atmospheric models are used in synthetic examples where parts of the governing equations are replaced with artificial neural networks. The forecast horizon for these high dimensional systems is typically much larger than the training dataset, showcasing the large potential of the approach.&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
ARCHITECTURE OF THE INFORMATION SERVICE SCHEDULE OF TRAINING SESSIONS IN THE UNIVERSITY PORTAL

This article discusses a possible version of the architecture of the information service schedule of training sessions in the portal of the university. It describes the existing approach and &#x0D; offers opportunities to improve the quality of the schedule service on the website
Blockchain - an indispensable development trend of logistics industry in Vietnam: Current situation and recommended solutions

Vietnam is located in the centre of Asia - Pacific, on international maritime routes. With a long coastline of about 3260 km stretching from North to South, Vietnam has many favourable conditions to bring import and export goods to the world. Not only its production, but Vietnam is also an ideal place to conduct transhipment activities such as transit, border-gate transfer, and temporary import for re-export. Vietnam is a country with favourable natural conditions and geographical location to develop logistics services. Along with the process of opening and integration, the volume of goods produced, domestically circulated and exported and imported in recent years has grown strongly, which is the premise and driving force for the development of logistics services. Logistics is becoming an essential service industry of international trade activities and attracts extraordinary attention to the economic community. The role of science and technology in development has been widely accepted. In today's increasingly competitive international environment, technology is a vital strategic element for rapid socio-economic development. Thanks to technological innovation, businesses have many opportunities to improve productivity, product quality, as well as to improve the ability in designing new production lines, new products and improving the efficiency in business management and operation. In order to survive and develop sustainably, all countries have preferential policies to encourage businesses to innovate technology. Moreover, businesses also recognize the need for technological innovation to keep pace with the world's development trend; this is the experience gained from countries with developed economies. This paper presents some issues on trends and applications of information technology, blockchain technology in the field of supply chain management and logistics to improve the competitiveness and develop logistics services of Vietnam. On that basis, the article also proposes several recommendations to support businesses in innovation and technology application in managing and operating this critical economic sector.
Gravity Visualized Through the Field of Reference Frames Approach

Einstein’s special theory of relativity, describes a fabric of space-time in which the speed of light is the same for all observers regardless on their inertial frame of reference (might also be referred to as reference frame or frame of reference). Based on that assumption, Einstein concluded in his special theory of relativity that two observers in two separate frames of reference will measure a difference in the flow of time, in length and in the exact time that events occur (relativity of simultaneity). A new approach that will enable to visualize the structure of this unique fabric of space - time in a single four dimensional (4D) image, will be the key to unify gravity with the quantum world.
The role and importance of problems in the thinking of primary school students

The article focuses on the role and importance of issues in primary school, their educational aspect, and their positive aspects related to other subjects. In the development of the student's creative ideas, the secular knowledge of the teacher of mathematics is also reflected. For example, he has to make a mock-up of a moving ship. Let's say that three ships sailing opposite the three ships on the river came to a standstill. Of course, this also depends on the skill of the math teacher. The teacher should not only refer to complex examples, but also use pictorial, interesting, philosophical, confusing issues. The mastery of a teacher depends on his knowledge of the world and his mastery of other sciences.
Learning achievement on massive open online course: Palliative care

Background: Massive Open Online Course (MOOC) is a significant learning-teaching innovation that learner can be accessed openly, and self-learned through the website. Palliative care course help to enhance their attitude, knowledge, and self-practice of the learners especially nursing students. Objectives: The objectives were to examine the effectiveness of MOOC: Palliative care on the learning achievement regarding nursing students. Methods: The Quasi - experimental study were used to design based on the one group pre-test and post-test on the learning achievement of the nursing students. The study was conducted at the Faculty of Nursing, Naresuan University, Thailand over six months during the period of June to November 2020 based on the Ethical issues from the Naresuan University Institutional Review Board (IRB no 0618/62), Naresuan University Results: A total of 120 nursing students of the third years from the Faculty of Nursing, Naresuan University, Thailand were invited to participate in the palliative care course over ten hours in the five weeks intervention (two hours/week). Baseline measures were collected before starting the palliative care course and learning outcome after the completion of this course. The data were analysed by using SPSS and the data were reported as the descriptive and paired t-test. The learning outcomes after study the palliative care course were higher than the before study significantly (p<.005). Conclusion: MOOC is new trend in higher education for nursing students. It significantly improves the effective learning achievement. The study indicated the MOOC: Palliative Care supports to gain the knowledge and attitude including the self-practice of nursing students for palliative care. It will be useful for the innovation teaching and learning in nursing education during the COVID-19 pandemic.
ANALISIS KUALITAS AIR PADA TIGA MATA AIR DI KECAMATAN SUKAWATI, KABUPATEN GIANYAR, BALI

Utilization of springs as water resources for their daily needs by the people of Sukawati Sub-Distric of Gianyar Regency, Bali is still quite high Human activities, such as increasing domestic, industrial and agricultural activities, have an effect on decreasing water quality. This research was conducted ini December 2019 to January 2020 at Pancoran Kutri springs, Beji Dalem Agung Kemenuh springs and Taman Beji Cengcengan springs. This research aimed to determine water quality based on Bali Governor's Regulation No.16 of 2016 concerning Environmental Quality Standards and Standard Criteria for Enviromental Damage Based on Class (Class I) and Minister of Health Republic of Indonesia Regulation No.492/ Menkes/Per/IV/2010 concerning Prerequisites for Drinking Water Quality. The parameters analyzed were the physical parameters (temperature and TDS), the chemical parameters (pH, DO, BOD, nitrate, phosphate, cadmium (Cd) and lead (Pb)) and the biological parameters (fecal coliform bacteria). The results of the research conducted showed that the water quality in the three springs in the study location still met the water quality standards. However, DO parameters at Pancoran Kutri springs, BOD parameters at Taman Beji Cengcengan springs and phosphate in the three springs at the research location are based on regulations, as well as fecal coliform bacteria parameters in the three springs at the research location based on the Regulation of the Minister of Health of the Republic of Indonesia No. 492/Menkes/Per/IV/2010 have exceeded the quality standard threshold.
외식 종사원의 감정노동과 사회적 지원이 직무만족에 미치는 영향: 일과 삶의 균형의 매개효과

Due to the nature of the food service industry, internal support is needed to balance job satisfaction and work satisfaction among employees, who are emotional workers, in that service is made to contact customers based on human services. The purpose of this study is to investigate the effects of emotional labor and social support for food service company employees on job satisfaction as a mediating effect of work-life balance and work-life balance and job satisfaction. To conduct the research, 320 questionnaires were distributed in Gyeonggi area from February 1 to February 10, 2020 using the Google Internet survey system. A total of 300 responses were obtained, excluding 20 infeasible data. The SPSS statistics program was used to verify the mediating effect through frequency analysis, exploratory factor analysis and reliability analysis, multiple regression analysis, and hierarchical regression analysis. Hypotheses 1, 2, Deep acting had a positive effect on work-life balance and job satisfaction. Hypotheses 3, 4, Coworker Support had a positive effect on work-life balance and job satisfaction. Hypothesis 5, work-life balance had a positive effect on job satisfaction. Hypotheses 6, 7, Deep acting and Coworker Support had a positive effect on job satisfaction by partially mediating work-life balance. As an implication, positive resources that can be obtained from the state of personal emotions and interpersonal relationships required for the work of catering employees are empirically grasped by applying work-life balance and job satisfaction for individuals to the workplace.
The Code System of a Systematic Literature Review on Pre-Requirements Specification Traceability

Tracing requirements back to their origin is important to understand the context and to identify all potential concerns or conflicts in the genesis of the requirements. The so-called pre-requirements specification (pre-RS) traceability is part of requirements traceability (RT) and is recognized as an important factor for long-term project success. Different approaches have been developed to connect requirements and their origin, but still, there is no general established solution. Mostly it is seen as an effort without significant benefits leading to resistance towards its implementation. To guide future research, a comprehensive understanding of the use cases, benefits, challenges, and existing approaches encountered is vital. However, the landscape of the scientific literature on this field remains somewhat fragmented, with pre-RS traceability often only considered in the periphery. We, therefore, conducted a systematic literature review, which identified 67 relevant papers. The literature was coded using qualitative data analysis (QDA) methods. In this technical report, we present the whole resulting code system of the QDA and describe the relationships between the identified themes, focusing on the relevance, problems, solutions, and techniques of pre-RS traceability.
Development of e-Module Based on a Scientific Approach By Teachers of SMAN 3 Padang Panjang

This society service was done at the request from teachers of SMAN 3 Padang Panjang in 2019. In this activity, teachers were given materials on technology based media and techniques to develop it accordingly to the demand of national curriculum. 20 teachers followed the activity that began with the installation of ebook maker program, tutorial on getting and editing media from online resources, introduction to appropriate learning media, development of e-module integrating video, audio, animation, hyperlink and other interactive features, and distribution of Likert scale questionnaire on the last day of the activity. Data showed that terachers had facilities, access and support to implement technology based learning. E-module got positive response from teachers of SMAN 3 Padang Panjang, for it is perceived to be capable of delivering learning material and evaluation effectively.
INCREASING YOUR CYBERSECURITY AWARENESS: UNDERSTANDING CYBERCRIME AND FINDING WAYS TO FIGHT IT

Dependency on global cyberspace is rapidly increasing nowadays. Virtual reality generates opportunities for enterprises, governments and individuals; however it also poses significant threats to security on different levels including the national level, whereby key state infrastructures can become a target of cyber attacks. This was seen during the Covid-19 pandemic when the healthcare system in a number of countries experienced cyber threats, which in the example of the Czech Republic, led to severe disruption of the medical processes in a hospital. Thus, cybercrime can cause detrimental effects not only to individuals or business entities, but also to a large group of stakeholders. Infinite cyberspace, the anonymous character of cyber attackers, advances in technology and a lack of cyber security measures in place – these all give cybercrime a sophisticated and aggressive nature and as a result, make us more vulnerable to it. This article will consider different categories of cybercrime, namely, crimes against the person; crimes against property, and crimes against the government, drawing examples from real life cases. This will be followed by an exploration of the methods which should be employed in the fight against cybercrime. In addition, the EU legislative framework will be considered as an example of legal measures against cybercrime. Key words: Internet, cyberspace, cybercrime, cyber attack, cyber threat, cybersecurity, ransomware, cyber terrorism, European Union legal framework, NIS Directive, ENISA, ways.
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

We present an algorithm based on multi-layer transformers for identifying Adverse Drug Reactions (ADR) in social media data. Our model relies on the properties of the problem and the characteristics of contextual word embeddings to extract two views from documents. Then a classifier is trained on each view to label a set of unlabeled documents to be used as an initializer for a new classifier in the other view. Finally, the initialized classifier in each view is further trained using the initial training examples. We evaluated our model in the largest publicly available ADR dataset. The experiments testify that our model significantly outperforms the transformer-based models pretrained on domain-specific data.
When will employees report their errors? A perspective from secret revealing framework

2 北京科技大学经济管理学院, 北京 100083) ( 3 上海交通大学安泰经济与管理学院, 上海 200030) ( 4 海南大学管理学院, 海口 570228) 摘 要 差错在工作场所中并不鲜见, 然而有关差错诊断的研究相对匮乏。基于此, 以员工主动差错汇报为 切入点, 分析影响员工差错汇报的因素。结合秘密分享框架, 提出差错特点(差错严重性与可见性)对员工的焦 虑感、反刍和汇报责任感产生正向影响; 而焦虑感、反刍和汇报责任感会促使员工采取差错汇报行为, 由此上 述个体感知中介差错特点与差错汇报之间的关系; 此外, 个体责任心、 领导容错性以及团队心理安全会作为边 界条件进一步影响上述员工犯错后的感知, 并最终影响其差错汇报行为。