Miracle-dz/UniFAR-FTUs huggingface dataset:
Instrument for evaluating digital educational comic

Digital educational comic allows learners’ knowledge and ideas on various subjects to be synthesized in a form of digital comic. Digital educational comic not only contains informative and emotive elements, but also engages the learners emotionally. In order to know the digital educational comic is valuable to leaners, it is needed to be evaluated properly. In specific, it should be measured based on what level it is able to educate and entertain the leaners. However, to date the standard evaluation of digital educational comic is scarce. Therefore, this paper aims to present the design, development, and validation of an instrument for evaluating digital educational comic. The instrument focuses on evaluating two main aspects of the digital educational comic: learning (12 items) and entertainment (8 items) which were based on the literature of comic core elements. Content validity, face validity, and reliability tests were carried out and the instrument shows satisfactory properties and could be useful in the educational environment and research. The use of the instrument may contribute to a deeper understanding of digital educational comic properties, valuable for comic development and improvements of quality in comic educational content.
CP-ABE based Access Control with Policy Updating and Fast Decryption for Intelligent Manufacturing

In view of the information security problems existed in intelligent manufacturing system, a system model and its corresponding CP-ABE based access control framework are presented. Moreover, a MA-CP-ABE based on Ordered Binary Decision Diagram (OBDD) is proposed to solve the common drawbacks of CP-ABE schemes, such as limited expression ability of access structure, inefficient sub algorithms, poor system reliability caused by single authority, and lack of policy updating mechanism. The proposed scheme has several remarkable characteristic. Firstly, an OBDD-based access structure is proposed to realize the efficient representation of access policies. Secondly, the sub-algorithms such as key generation algorithm and decryption algorithm have good performance. In particular, the complexity of decryption algorithm is constant, not limited to any variable in the system, which result in fast decryption. Thirdly, the reliability and stability are enhanced by the set-up of multiple attribute authorities. Fourthly, the access policy updating mechanism has better feasibility, because the adoption of proxy ciphertext updating and lazy key generation. Theoretical analysis further proofs the above superiorities of the new scheme. In addition, the new scheme is able to resist collusion attack and provide forward security and CPA security.
Keynote: Internet of Things or Threats? On Building Trust in IoT

The Internet of things (IoT) is rapidly emerging with the goal to connect the unconnected. Many new device manufacturers are entering the market of internet-connected appliances for smart homes and offices, ranging from motion sensors to virtual voice assistants. However, due to lack of security by design and flawed implementations we are facing significant security and privacy challenges specific to IoT, such as perilous IoT botnet attacks, and novel privacy threats caused by widespread installation of wireless sensors, actuators and smart home appliances even in the private setting of our homes. Unfortunately, basic security measures like properly encrypted communications does not protect against these threats. The massive scale of the IoT device population and enormous diversity of device hardware, operating systems, software frameworks and manufacturers makes it very difficult to establish standard IoT security and privacy-protecting solutions by simply applying known solutions, neither for per-device security architectures nor for network security measures. In particular, existing intrusion detection techniques to detect compromised IoT devices seem ineffective. In this talk, we will present our recent work on addressing various security and privacy challenges in the growing IoT landscape including industry collaborations. In particular, we focus on approaches for flexible management of security associations (pairing) among devices introduced into the user's trust domain as well as effectively and efficiently identifying these devices based on their inherent communication behavior and using these behavior patterns to automatically and reliably detect compromised IoT devices.
TEI-ULP: Exploiting Body Biasing to Improve the TEI-Aware Ultralow Power Methods

Temperature effect inversion (TEI) phenomenon in ultralow power (ULP) very large scale integration circuits has been identified as an important effect by both academia and industry. Although a number of ULP methods that attempt to exploit the TEI phenomenon have been proposed, the small size of the design exploration space when applying these methods to ULP circuits hinders them from achieving their full potential. This is mainly due to the limited granularity of the supply voltage level control. Starting with an intuition that the body biasing (BB) technique is a key to overcome this limitation, this paper exploits the BB technique along with the TEI-aware voltage scaling (TEI-VS) method and TEI-aware frequency scaling (TEI-FS) method, so as to substantially increase the design spaces of these methods. Techniques for optimally combining the BB technique with TEI-VS and TEI-FS are introduced. Simulation results with the latest commercial CMOS process technologies for ULP designs demonstrate the effectiveness of the proposed methodology.
Against stored abstractions: A radical exemplar model of language acquisition

The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings, (2) morphologically inflected words, (3) n-grams, (4) sentence-level constructions and (5) phonetics and phonology, accounts based on independently-represented abstractions (whether formal rules or prototype categories) fail for two reasons. First, it is not possible to posit abstractions that delineate possible and impossible form; e.g. that (1) rule in pool tables and data tables, but rule out chairs, (2) rule in the past-tense forms netted and bet but rule out *setted and *jet, (3) rule in the bigram f+t but rule out (probabilistically) v+t, (4) rule in both John feared Bill and John frightened Bill but rule out *John laughed Bill, (5) rule in Speaker A but rule out Speaker B as the person who produced a particular word (e.g. Sa’urday). Second, for each domain, empirical data provide evidence of exemplar storage that cannot be captured by putative abstractions: e.g. speakers prefer and/or show an advantage for (1) exemplar variation even within word-meaning ‘category boundaries’, (2) novel inflected forms that are similar to existing exemplars, (3) n-grams that have occurred frequently in the input, (4) SVO sentences with he as SUBJECT and it as OBJECT and (5) repeated productions of ‘the same’ word that are phonologically similar or, better still, identical. An exemplar account avoids an intractable lumping-or-splitting dilemma facing abstraction-based accounts and provides a unitary explanation of language acquisition across all domains; one that is consistent with models and empirical findings from the computational modelling and neuroimaging literature.
Recovery, Rehabilitation and Positive Psychology for Chronic Post-Traumatic Stress Disorder: Theoretical and Practical Aspects among French Veterans

Recovery, in terms of psychological health, is a complex concept that has to be distinguished from the notions of healing and remission. The latter refers to the evolutionary terms of the disease, while recovering from mental illness means to emerge from a psychiatric patient identity and regain an active and satisfying social life. It is clear from the literature that recovery is a complex and elusive concept in a global perspective. Two complementary visions coexist in literature and direct the rehabilitation interventions: a vision focused on mental illness (pathogenic approach) and a vision focused on the concept of sense of subjective well-being and positive mental health (salutogenic approach). Positive psychology studies the conditions, the processes and the actions that contribute to the flourishing or optimal functioning of individuals, groups and institutions. We present results evaluating the psychological resources which remain sustainable for these trauma-exposed soldiers according to their post-traumatic stress disorder (PTSD) symptoms and the dynamics of resource reappropriation after the military rehabilitation program, which focuses on values in action (VIA) as character strengths. They suggest that this approach might bring concepts to better conceptualize the dynamics of recovery and offer levers of action to enrich rehabilitation.
Demands-based and employer-driven curricula: defining knowledge in higher vocational education and training

ABSTRACT Access to, and participation in, higher education is expanding. Commonalities in the organisation of this expansion are distinctive vocational pathways, liberal marketisation and significant employer influence. However, whether this expanded access to higher education in vocational pathways is contributing to opportunities of social mobility for the students accessing higher education in this way is questioned. This article explores one way to investigate this by focusing on knowledge in VET curricula – specifically knowledge which students in higher VET get access to. Knowledge in VET curricula can both reproduce existing social divisions and inequalities or support social mobility, as knowledge may both include and exclude from social power. Thus, possible reproduction of stratification may be tracked in formation of curricula. In this article, the Swedish system of higher VET established in 2009 serves as the case for a policy analysis examining what knowledge policy defines for higher VET curricula. The analysis shows a dominant definition of legitimate knowledge as that generated in the production of goods and services and selected by locally involved employers. This is a definition of knowledge for higher VET in line with a global focus on differentiation in higher education rather than on equality of outcomes.
The Determinant Factors of the Intention to Participate in Crowdfunding Activities in Jakarta Area

The purpose of this study is to determine factors of the intention to participate in crowdfunding activities in Jakarta area. The population in this study are general consumers in Jakarta. The sample in this study are 239 respondents with the characteristics of those who had participated/not in crowdfunding activities, residing or domiciled in Jakarta. Purposive sampling technique is applied for this study, conducted by online survey in January 2019. A hypothesized model is used to analyse the relationship between the variables and tested by using SEM-PLS. The results of the study shows four hypotheses are supported and two hypotheses are rejected. The results of this study show that attitude toward helping others brings significant effect on social identification with the crowdfunding community. Furthermore, motivation, role of crowdfunding platform and social identification have significant effect on the intention to participate with the crowdfunding. However, interpersonal connectivity has no significant effect on social identification with the crowdfunding community and innovativeness has no significant effect on the intention to participate with the crowdfunding
PROTOCOL: The effectiveness of community, financial, and technology platforms for delivering nutrition‐specific interventions in low‐ and middle‐income countries: A systematic review

About half of global under‐5 child mortality, or about 3 million deaths, are linked to poor nutrition (UN Inter‐agency Group for Child Mortality, 2017; UNICEF, 2018). The effects of compromised nutrition at an early age are evident throughout the life course, with physical and cognitive impairments affecting health, learning, and economic potential (Martins, Toledo Florêncio, & Grillo, 2011). Good nutrition is also important beyond the childhood years, with adolescent girls being especially vulnerable to undernutrition because of their higher nutritional requirements, particularly those who might become pregnant. Therefore, a focus on adolescent girls’ nutrition is important to ensure adequate prepregnancy nutrition for maternal, fetal, and infant health. Evidence suggests under‐5 child mortality can be reduced by 15% with 90% coverage of 10 evidence‐based nutrition interventions (Bhutta, Das, & Rizvi, 2013). However, despite evidence of efficacy generated from controlled settings, the potential impacts of what are considered “proven” nutrition interventions are often not realized in real‐world environments due to ineffective delivery channels for achieving high and equitable coverage. A review by Ramakrishnan et al. (2014) noted that while prenatal protein‐ energy and iron folic acid supplementation have been shown to reduce low birth weight by 20–30% in trial settings, variable implementation has led to uncertain effectiveness. Menon et al. (2014) also acknowledge evidence supporting effective delivery platforms for nutrition‐specific interventions remains limited. Of particular concern are gaps in how to successfully reach adolescents with evidence‐based nutrition interventions in low‐ and middle‐income countries (LMIC) (Bhutta, Lassi, & Bergeron, 2017; Salam, Hooda and Das, 2016). Our review considers delivery platforms that can improve coverage of nutrition‐specific interventions at all stages of the life course from preconception to pregnancy, infancy, childhood, and adolescence. The review is part of a series of concurrent reviews to produce up‐to‐date evidence on preventive and curative nutrition interventions across the lifecycle.
THE ROLE OF PERCEIVED VALUE AND TRUST TO RAISE CONSUMER SATISFACTION: AN ANALYSIS IN THE MOBILE TELEPHONY SECTOR

Today, with globalization and high competition, companies are increasingly seeking to approach their customers seeking to provide value, confidence and satisfaction. Thus, for the development of this research, the influence of perceived value, of trust on satisfaction, was analyzed. For that, a quantitative research was carried out, through the implementation of a survey. The analysis of the results was done through multivariate statistics, using the Structural Equation Modeling technique to observe and analyze the elements that make up the object under study, besides the test of the hypotheses raised. The sample consisted of 285 mobile telephony clients. The results showed that perceived value and trust have a positive and direct effect on consumer satisfaction.
Consumer privacy protection in digital right management: A survey

Digital Right Management (DRM) is a technology used to manage the usage of the digital contentsthat distributed through the Internet, and helps the content owners to prevent un-authorized use of theircopyrighted content. However, consumer privacy is a growing problem appeared in DRMenvironment. This problememergedbecause of the consumers can distribute copies of the digital contents without any consideration of the owners’copyright, which lead to moving the content owners to use DRMthatallows the consumers to accessthe content only if they have authenticated by their identity information. Thus, the consumer privacy isviolated in DRMsystem. This paper gives a survey about the current consumer’s privacy preserving solutions. It analyses their advantages and disadvantages and then highlights some open issues to be addressed.
Application of Blockchain Technology in Energy Internet Market and Transaction

Based on the blockchain technology, important datas such as transactions, scheduling, finance, and energy contracts are distributedly recorded, various resources such as distributed energy generation, energy transmission, energy consumption, and energy storage are aggregated for collaborative optimization control and market trading. In this paper, we build blockchain-based new generation energy Internet with extensive interconnection, intelligent decision making, real-time interaction, and open sharing. The application of blockchain technology in energy Internet includes photovoltaic energy microgrid, blockchain-based energy Internet entities, blockchain-based power trading, and energy asset securitization. Technical frameworks for energy Internet market trading system based on blockchain technology are proposed. Distributed energy ledger and energy trading smart contract are utilized. Distributed trading rules, algorithms and processes of energy system and microgrid are established. Energy Internet transactions and payment settlement system are constructed. Energy producers and consumers trade peer-to-peer on the platform to improve system efficiency and security.
Improvement and Simulation of AODV Routing Algorithm Based on NS-3

In order to solve the problem of high packet loss rate and poor real-time performance of data transmission among the smart robots after the mobile ad hoc network is formed, we study and improve the traditional AODV routing protocol. Smart robot uses signal strength as a basis for whether to forward packets during route discovery in the proposed AODV and it will control their own motion after acknowledging the forwarding of packets. With NS-3 software the simulation results show that the improved AODV routing protocol improves the success rate of data transmission and reduces the average delay compared with the traditional AODV routing protocol.
Studying for Introductory Psychology: Differences Across Technical College, 2-, and 4-Year Institutions

Three hundred thirty-three Introductory Psychology (IP) students from a 4-year university, 2-year community college, and a technical college provided survey data. Student self-reports significantly differed across schools on hours studied during exam weeks, textbook helpfulness, importance of lecture and class activities, quality and importance of course notes, and credit load. University students reported higher means on all of these, followed by 2-year and then technical college students. Students significantly differed on hours worked per week and current course grade, with technical college students having the highest means, followed by 2-year and then university students. There were a number of significant intercorrelations among the variables, some differing by institutional type. These institutional differences suggest that IP instructors may wish to consider these differences as they prepare to teach this course.
Utilização de um modelo baseado em redes neurais para a precificação de opções

Derivativos sao instrumentos financeiros cujo valor depende de outro ativo. As opcoes sao derivativos que conferem aos seus proprietarios o direito de comprar ou vender um ativo a um preco predeterminado, chamado de preco de exercicio. A precificacao, ou avaliacao de uma opcao, que consiste na determinacao do preco (premio) da opcao, corresponde a um dos problemas centrais no estudo desses derivativos. No intuito de resolver esse problema, surgiu um dos modelos mais utilizados em Financas: o modelo de BLACK e SCHOLES. No entanto, varios estudos comprovaram que algumas daspremissas do modelo de BLACK e SCHOLES nao sao confirmadas na pratica, o que tem levado a diferencas significativas entre o valor da opcao, calculado pelo modelo, e o valor realmente verificado no mercado. Uma alternativa seria a aplicacao de um modelo de precificacao de opcoes baseado em redes neurais. As tecnicas de redes neurais sao utilizadas no estudo de fenomenos para os quais a deducao de um modelo que retrate de forma satisfatoria a realidade do problema e uma tarefa bastante complexa. As redes neurais desenvolvem modelos matematicos intrinsecos a partir de dados empiricos do problema, por meio de um processo de aprendizagem. Portanto, o desafio de deduzir relacoes entre as diferentes variaveis do problema e facilitado pela capacidade das redes neurais de extrair essas relacoes empiricamente. Este trabalho teve como objetivo verificar se a utilizacao de um modelo de precificacao de opcoes baseado nas tecnicas de redes neurais seria capaz de superar o modelo de BLACK e SCHOLES na determinacao dos precos das opcoes. A comparacao entre os dois modelos de precificacao de opcoes foi feita analisando-se a similaridade entre os valores dos precos calculados por cada modelo e os valores realmente verificados no mercado. Para essa pesquisa, foram utilizados os dados referentes as opcoes de compra europeias sobre acoes Telebras PN (preferencial nominativa) negociadas na Bolsa de Valores do Estado de Sao Paulo (BOVESPA) no periodo de 1995 a 1999. A partir dos resultados obtidos, constatou-se que o modelo baseado em redes neurais e capaz de superar o modelo de BLACK e SCHOLES na precificacao de opcoes fora do preco (out-of-the-money), no preco (at-the-money) e dentro do preco (in-the-money).
Achieving Organizational Control and Surveillance through Self-interest and Collaboration

Control and surveillance are often achieved while creating resistance from their targets. While technology has made the collection of data more pervasive and ubiquitous, it has not quashed the objections from participants who feel the intrusion is not warranted. To what extent can agency and benefit be achieved by the organization through the use of resistance mitigators and motivation-based controls that, in their nature, achieve the goals of control and surveillance? This paper attempts to describe the impact on the need for control and surveillance through self-interest and collaboration in an organizational design that is inherently interdependent.
Utilization of social media platforms by librarians for promoting library resources and services in Nigerians’ tertiary institutions in Cross River State

The study was carried out to determine the utilization of social media platforms for promoting library resources and services in Nigerians’ tertiary institutions in Cross River State, Nigeria. Descriptive survey research design method was employed for this study. The sample for this study comprised of 300 librarians in three Nigerian tertiary institutions in Cross River State. The questionnaire was the only instrument used for data collection. Frequency counts and mean were used to analyse the data collected. The study revealed that Facebook and Blogs are the most frequently used social media platforms for promoting library resources and services in the libraries. Findings also showed librarians utilize social media platforms in promoting two-way communication as the highest followed by making connections with library users easily, and provides forum for feedback and increases library users/usage and providing up-to date information in campus as the least. Some challenges librarians encounter was also discovered; hence recommendations were made. These include encouraging more participation on social media platform through seminars and symposiums amongst other recommendations. Keywords: Utilization, Social Media, Platforms, Librarians, Library, Resources, Services, Tertiary Institution