Miracle-dz/UniFAR-FTUs huggingface dataset:
Implicit Analogies in Learning: Supporting Transfer by Warming Up

Analogies between old and new concepts are common during classroom instruction. Previous transfer studies focused on how features of initial learning guide later, spontaneous transfer to new problem solving. We argue for a shift in the focus of analogical-transfer research toward understanding how to best support analogical transfer from previous learning when children are engaged in new learning episodes. Such research may have important implications for teaching and learning in mathematics, which relies heavily on analogies between old and new information. Some existing research promotes supporting explicit connections across old and new information within an analogy. Alternatively, we argue that teachers can invite implicit analogical reasoning through warm-up activities designed to activate relevant prior knowledge. Warm-up activities close the transfer space between old and new learning without additional direct instruction.
Behavioral Economics Versus Traditional Economics: Are They Very Different?

Behavioral economics, notably developed by Daniel Kahneman, Amos Tversky and Richard Thaler, has found consistent and pervasive anomalies in common people’s daily behaviors. This paper has employed the concepts in traditional economics (e.g., choice, relative price, and opportunity cost) to analyze the anomalies found in behavioral economics. The results show that quite a few anomalies, such as preference reversal, isolation effect and sunk cost fallacy, do not exist. This is not to say that people always make rational choices. The findings of the paper conclude, however, that common people may not be as irrational as behavioral economists have suggested (in some situations, common people may act more like a rational economist).
Cryptocurrency Bitcoin: Disruption, challenges and opportunities

Cryptocurrencies such as Bitcoin are a hot topic in the financial industry. Looking specifically at the purpose of cryptocurrencies for making payments, this paper aims to illustrate (1) the key challenges that cryptocurrencies must overcome to achieve widespread customer adoption, (2) the major risks regarding cryptocurrencies, when and how cryptocurrencies and their service providers will be regulated, (3) in their current state, what are the killer apps for cryptocurrencies, and (4) the more fundamental issues cryptocurrencies must address. In conclusion, while Bitcoin may not replace traditional and new payment methods to become a dominant alternative in the short term, banks should look at its underlying technology as a potential generic new way to transfer ownership of value in the longer term.
The implementation of web service based text preprocessing to measure Indonesian student thesis similarity level

The plagiarism of scientific work, especially undergraduate thesis, mostly happened in the college. In this research we used text mining, a new method which can be used to do the checking procedure, to obtain specific pattern of the document. After obtaining the document pattern, we compare the pattern with another document pattern. If the level of pattern similarity is high, it can be suspected as plagiarism. This paper will explain the development of the text preprocessing, a part of text mining. We choosed Nazief and Adriani Algorithm as a text preprocessing algorithm for this research. This research will result a text preprocessing web service. The web service is expected to be used for further development of
The Effect of IT Implementation on Supply Chain Performance: The Mediating Role of Information Sharing and Information Quality

This study aims at examining the mediating effects of information sharing and information quality over the relationship between Information Technology (IT) implementation and supply chain performance. The sample size of 110 respondents, representing 55 manufacturing companies, have been interviewed using a questionnaire designed with five-point Likert scale. Data were then analyzed using SmartPLS software. The result of the research shows that IT implementation has positive direct impacts on the supply chain performance, information sharing, and information quality. Meanwhile, information sharing and information quality also affect supply chain performance directly. Furthermore, information sharing and information quality mediate the influence of IT implementation on supply chain performance. This finding contributes to the on-going research on the supply chain management. The result also paves the way for the manager to establish the IT implementation, information sharing, and information quality in the pursuit of increased supply chain performance in the manufacturing company.
Formação de profissionais para a promoção da parentalidade positiva

A parentalidade constitui uma tarefa vital que marca uma das transições evolutivas mais importantes do desenvolvimento da pessoa e cuja adequada resolução contribui, positivamente, para o amadurecimento pessoal dos que a vivem (Belsky, 1984). Na atualidade, tal tarefa, reveste-se de uma grande dificuldade, pelas caraterísticas da sociedade e do mundo em que vivemos. Profundas transformações históricas, grande variedade de formas familiares, mudanças nos papéis de género e da família, baseados em princípios de igualdade, assim como as relações entre pais e filhos que deixam de ser verticais e hierárquicas e passam a ser mais horizontais e democráticas. as práticas parentais tradicionais precisam de permanente revisão à luz da evidência científica para organizar a desordem familiar contemporânea (Cowan, Powell & Cowan, 1998). Também os agentes da educação deixaram de ser apenas os pais, abrindo-se o espaço para os meios audiovisuais e as redes sociais. Em função de todos estes desafios, a INTERVENÇÃO PSICOSSOCIAL na parentalidade torna-se crucial (Rodrigo, M., 2011), impondo-se, por vezes, como uma obrigação legal, sobretudo quando os fatores de risco superam os de proteção.
Tourism taxes in Italy: A sustainable perspective

Abstract In Italy, a tourism tax was introduced in 2011, since then it has been adopted in most of the Italian provincial capitals and tourist cities. This tax can mitigate the negative externalities caused by tourists; however, it should be carefully planned both in terms of the amount of money to be levied and in terms of the uses to be financed with the tax revenues, it could, otherwise, negatively impact the tourism sector, decreasing—rather than increasing— the social welfare. The aim of this paper is to assess the acceptability of such a tax and to examine how the tax should be designed to better meet tourists’ preferences while improving tourism sustainability. To this aim, a Contingent Valuation experiment has been performed for two Apulian touristic towns: Otranto and Castro. The results demonstrate that the willingness to pay (WTP) for the tourism tax depends not only on the vacation and the tourist type but also on how the fiscal revenues are used. If no mention is made of the use of the tax revenues, the WTP can be as low as €0.85 per person per night, which is much lower than the tax actually levied. Instead, if the tax revenues are used to improve and to protect the environment, the WTP can be as high as €3.96. To the best of the authors’ knowledge, this is the first research paper estimating the WTP in the Italian context based on tax revenue use.
Uma reflexão sobre a competência linguístico-comunicativa e a proficiência do (futuro) professor de língua estrangeira no Brasil

Neste artigo apresento uma discussão sobre a proficiência linguística (PL) em língua estrangeira (LE) de professores de línguas, com ênfase em contextos de formação de professores no Brasil. O foco está na reflexão, a partir de subsídios teóricos e dados de pesquisa, de informações que possibilitem a definição de aspectos da linguagem a serem considerados no estabelecimento de parâmetros dessa proficiência, a qual decorre da competência linguístico-comunicativa desses professores. Busca-se estabelecer, com bases nesses aspectos da linguagem e características da “competência” lingüístico-comunicativa (BACHMAN, 1990; CANALE, 1983; CONSOLO, 2002, entre outros), critérios objetivos para a caracterização dos perfis de PL desses professores, em contextos de ensino de LE no cenário brasileiro. A problemática da “competência lingüístico-comunicativa” de professores de inglês como LE, refletida, por exemplo, nos trabalhos de Consolo (1996, 1999, 2000b, 2002, 2004, 2005a,b) e Teixeira da Silva (2000), é aqui tratada no âmbito de um arcabouço teórico sobre competência lingüística e proficiência em LE (cf. BACHMAN & PALMER, 1996; ELDER, 2001; LLURDA, 2000; SCARAMUCCI, 2000, entre outros). A descrição da PL pode impactar positivamente um construto de domínio de linguagem e de avaliação relevantes para formação e atuação de professores de línguas no contexto brasileiro e em outros contextos.
The Parkinson's Disease Composite Scale Is Adequately Responsive to Acute Levodopa Challenge

Background The Parkinson's Disease Composite Scale (PDCS) is a recently developed easy-to-use tool enabling a timely but comprehensive assessment of Parkinson's disease (PD)-related symptoms. Although the PDCS has been extensively validated, its responsiveness to acute levodopa challenge has not been demonstrated yet. Objective To investigate the correlation between changes in the motor examination part of the Movement Disorder Society-sponsored Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and the PDCS motor scores during acute levodopa challenge and calculate a cutoff range on the PDCS indicating clinically relevant improvement. Methods A consecutive series of 100 patients with parkinsonism were assessed using the motor examination sections of the MDS-UPDRS and the PDCS at least 12 hours after the last levodopa dose and after the administration of a single dose of a suprathreshold immediate formulation of levodopa/benserazide reaching the “best ON. ” Results. There was a high correlation between changes in the MDS-UPDRS and the PDCS motor scores (Spearman's rho = 0.73, p < 0.001). Receiver operating characteristic analysis revealed that a 14.6%–18.5% improvement in the PDCS motor scores corresponds to a 20–30% improvement in the MDS-UPDRS motor examination. Conclusions The PDCS can reliably and adequately respond to an acute levodopa challenge. Any improvements in PDCS motor scores exceeding the 14.6–18.5% threshold could represent a clinically relevant response to levodopa.
LAND COVER MAPPING WITH ADVANCED CLASSIFICATION ALGORITHMS

Remote sensing technologies are used in many applications to extract information from the surface of the earth. Image classification, which is one of the most widely-used ways of information extraction, is a controversial topic in remote sensing. This is because all classification algorithms introduced in the literature cause classification errors to some extent. Simple classification algorithms like Minimum Distance, Parallelpiped and Mahalanobis Distance commit a large amount of classification errors. This, of course, has encouraged the remote sensing community to develop more advanced classification algorithms to further increase classification accuracy. This study uses sophisticated classification algorithms Support Vector Machines (SVM), k-Nearest Neighbour (kNN) and Artificial Neural Network (ANN) to classify a WorldView-2 multispectral image in order to produce land cover maps. The accuracies of the produced thematic maps were evaluated with randomly-selected control points. The SVM algorithm classified the imagery with the best classification accuracy of 72.38%.
Enhancing judicial efficiency to foster economic activity in Portugal

A well-functioning justice system is indispensable to business activity and to a society as a whole.Judicial efficiency measured by trial length, one of the essential factors in the effectiveness of thejustice system, ensures contract enforcement, which is the basis of market transactions. Judicialefficiency is closely associated with accessibility to judicial services and the certainty of judicialdecisions, raising people’s confidence. Portugal has undertaken numerous judicial reforms in thepast, to the extent that it is difficult to disentangle and evaluate fully the effects of each reform.Overall, judicial efficiency remains weak, as reflected in the average trial length and bottlenecks ina number of courts. The data collection system, significantly developed as part of the reforms, canbe more fully utilised for allocating court resources. The autonomy of the judicial council and courtpresidents can also be strengthened so that they can effectively manage resources. Individual judgescan be better incentivised through performance-oriented evaluation. Competition in the legalprofession sector can be enhanced while increasing the transparency of legal services. Also,alternative dispute resolution mechanisms can be developed further, meeting different needs forjudicial services, in particular those on insolvency, while alleviating court congestion. Finally,building on past and ongoing reform efforts, the judicial system should continue to improve thecapacity to undertake forensic investigations of economic and financial crimes.
An Audit of Use of Supraglottic Airway Devices in Pediatric Patients

Aim: Pediatric patients have unique anatomical, physiological and pharmacological characteristics. The process of administering anesthesia for pediatric surgeries is quite challenging. Such cases are usually performed under general anesthesia using face masks, endotracheal tubes (ETT) or supraglottic airways (SGA) depending upon type and duration of surgery. Use of SGA has various advantages over the other two and their use is increasing day by day. We carried out an audit retrospectively to extract data of surgeries where SGA were used over a duration of six months. Primary objective was to delineate percentage of usage of SGA and secondary were to study associated complications and identify areas of improvement, if any. Materials and methods: Subsequent to International Electrotechnical Commission (IEC) approval, all perioperative details related to patients and surgeries were collected from anesthesia records. A number of other parameters were also recorded. Results: Number of patients managed under SGA during 6 months duration were 120 as compared to total of 400. Thus, the usage was 30%. There was no difficult SGA placement. Neuromuscular blockers were used in 10% cases. Dislodgement of device was noted in 12.5% patients and laryngospasm in 10%. Change of size of device was required in seven patients weighing 10 kg. Conclusion: The practice of use of these devices has revolutionized the field of pediatric anesthesia with advantages like avoidance of use of muscle relaxant. They are very tachydidactic and freindly to use. Some vigilance is required to prevent and treat complications associated with their use. Clinical siginficance: The implications of SGAs are becoming wider day by day and in near future with more advance devices, they might still have wider applications than endotracheal tubes.
Improving travellers' trust in restaurant review sites

Purpose This paper aims to focus on understanding how restaurant review sites generate trust among travellers and the effect of trust on the intention to visit and recommend restaurants while travelling. Design/methodology/approach The research model was assessed with data from a sample of 439 Spanish tourists using partial least squares structural equation modelling (PLS-SEM). Findings Information quality and source credibility are key for generating website trust. Website quality does not influence trust. Website trust is a key variable for explaining both intention to visit and recommend a restaurant, offline and online. Age is a significant moderator. Research limitations/implications This study expands the literature by assessing the antecedents and consequences of travellers’ trust in restaurant review sites during their trips. Practical implications Strategies are suggested for review sites, restaurants and destination managers. Originality/value This research enhances the knowledge of how consumers perceive restaurant review sites, and their behavioural intention while travelling.
Where is it? Examining Post-Secondary Students' Accessibility to Policies and Resources on Sexual Violence

Faced with a growing demand for adequate policies and programs that meaningfully address sexual violence on campus, the provinces of British Columbia, Ontario and Manitoba have introduced legislation requiring all post-secondary institutions to institute a sexual assault policy. The remaining provincesand territories do not have similar legislation. In absence of such legislation, using the case study of Alberta, we examined how equipped post-secondary institutions in this province are to assist students in need. Utilizing publicly available data we examined: 1) whether Alberta’s post-secondary institutions have a sexual violence policy which is readily and easily accessible to the student; and 2) the ease with which students can access university resources and support services for sexual violence. The results indicate that most institutions do not have an accessible policy and support services for students in need. We are hopeful that this study can inform those designing and advocating for sexual violence policies on campus to institute measures to clarify institutions’ sexual violence policies, increase accessibility to those policies, create policies where they are missing, and work on clarifying the availability of resources for students on and off campus.
Building a testing-based training paradigm from cognitive psychology principles.

Cognitive psychology often produces findings that are relevant to educational instruction. However, many of these studies rely on artificial conditions, which often fail to transfer to realistic settings, resulting in a disconnection between cognitive psychology and education. This paper begins to address this issue by taking established principles from cognitive psychology and applying them to teach participants real academic concepts. We report a training paradigm that applies established principles from cognitive psychology: retrieval practice, feedback, self-paced studying, cognitive antidote, and levels of processing, in which participants are shown the correct response. This paradigm was used to teach undergraduates basic concepts of research design that are typically taught in university science courses. Participants studied PowerPoint-style slides that were divided into three sections. At the end of each section, participants were presented quiz questions. After each quiz response, the participant was shown the correct answer. This study also tested different forms of responding to quiz questions (between subjects): (a) fill-in-the-blank, (b) multiple-choice, and (c) fill-in-the-blank followed by a multiple-choice version of the same question. Participants completed two posttests, one immediately after training and another one week later. Both posttests consisted of items that tested retention and conceptual understanding. A control condition (wherein participants received no training) was used to assess the effectiveness of the training paradigm. Participants who used this paradigm outperformed control participants on both posttests. However, no differences in performance were found among participants who used different forms of responding.
Compressive Sensing Recovery Algorithms and Applications- A Survey

Compressive sensing is an efficient method of acquiring signals or images with minimum number of samples, assuming that the signal is sparse in a certain transform domain. Conventional technique for signal acquisition follows the Shannon’s sampling theorem, which requires signals to be sampled at a rate atleast twice the maximum frequency (i.e fs ≥ 2fm). As compared with this traditional acquisition technique, compressive sensing technique captures wide range of signals at a rate significantly lower than Nyquist rate without losing the imperative information, so this technique can be widely used in MRI. Suitable reconstruction algorithms are needed for recovering the original signals from compressed sampled signal. This paper introduces a survey of the various reconstruction algorithms which might enable the use of this technology for wide spread hardware combatiable implementation in the near future.
Relevant Participants' Participation in Systems Development: When is Particitipation Irrelevant?

User participation and involvement (UPI) are complex concepts with many factors. This complexity stems from the different ways in how users are defined, how they participate and are involved, from the characteristics of the system, and the various phases within systems development. Managing UPI is important to change agents, i.e., managers, information technology experts, and consultants because they are the ones who are tasked with choosing the best participants at the right time to contribute to the systems development process to ensure a successful system. By reviewing relevant literature, this paper examines when participants should not participate in specific phases of systems development so as to not impede success or contribute to the failure of the systems development project.
Parsing Algorithms for Data Compression

The task of parsing consists of splitting an input text into a sequence of contiguous phrases. Several classes of data compression algorithms rely on parsing techniques either to identify repetitions inside the input string (dictionary-based compression) or to locate homogeneous pieces of data which are separately compressed (PermutePartition-Compress paradigm). In these applications, the choice of the parsing strategy is determinant for the final performance of the compressor. An ideal parsing algorithm should be able to parse the input in a way that minimizes the output-size of the underlying compressor, and the question is how efficiently this can be done. Many investigations have focused on parsing algorithms that achieve optimality in the compressor’s outputsize but the solutions proposed in literature are far from being satisfactory. In fact, most of them are either simple approaches based on dynamic programming with prohibitive time complexities [10, 79, 42], or heuristic algorithms which do not offer any bounds on the efficacy of the solution [11, 56, 81, 7, 18]. We propose a new approach to the design of optimal parsing algorithms, achieving significant improvements in running time over previous methods. As originally pointed out by [79], this problem can be modeled as a shortest-path computation over a particular directed-acyclic graph. We build upon this idea by showing that the class of graphs arising from this reduction satisfies particular structural properties that can be exploited by our algorithms to speed-up a lot shortest-path computation. We obtain new results by applying this approach to the contexts of dictionarybased compression and Permute-Partition-Compress paradigm. We consider the class of LZ77-based compressors, the most powerful example of dictionary-based compression, and design the first parser which achieve optimality in the compressed output size (measured in bits) by taking efficient/optimal time and optimal space [35]; this solves an open problem raised in [76, pag. 159]. Then, using similar techniques, we provide an approximate parsing algorithm that, when used inside the Permute-Partition-Compress paradigm, produces a compressed output whose size is guaranteed to be no more than (1 + ε)-worse the optimal one, where ε is a user defined constant [34].