Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive gamification strategies for education: a systematic literature review

Gamification elements are frequently used in learning environments as a means to motivate and engage students. Adaptive gamification, a more recent approach, attempts to maximize the expected learning objectives by adapting these gamification elements to the needs of each user. In this paper, we present a systematic review of adaptive gamification in educational contexts aiming to understand how these adaptive features work, what they adapt and which strategies they adopt. We identified 16 papers that describe different adaptive gamification strategies for different learning topics, based on factors like user input, user experience, and player typology. Resumo. Elementos de gamificação são frequentemente usados em ambientes de aprendizagem como método para motivar e engajar estudantes. Recentemente, a gamificação adaptativa vem surgindo como forma de maximizar os objetivos de aprendizagem esperados ao adaptar elementos de gamificação às necessidades dos usuários. Neste artigo, é apresentada uma revisão sistemática sobre gamificação adaptativa em ambientes educacionais, buscando compreender como essa adaptação acontece, o que é adaptado e quais estratégias são adotadas. Foram identificados 16 artigos que descrevem diferentes estratégias de gamificação adaptativa para diferentes tópicos de aprendizagem, baseandose em fatores como interações e experiência do usuário e perfis de jogador.
Effect of glucose and insulin supplementation on the isolation of primary human hepatocytes

Primary human hepatocytes (PHHs) remain the gold standard for in vitro investigations of xenobiotic metabolism and hepatotoxicity. However, scarcity of liver tissue and novel developments in liver surgery has limited the availability and quality of tissue samples. In particular, warm ischemia shifts the intracellular metabolism from aerobic to anaerobic conditions, which increases glycogenolysis, glucose depletion and energy deficiency. Therefore, the aim of the present study was to investigate whether supplementation with glucose and insulin during PHH isolation could reconstitute intracellular glycogen storage and beneficially affect viability and functionality. Furthermore, the study elucidated whether the susceptibility of the tissue's energy status correlates with body mass index (BMI). PHHs from 12 donors were isolated from human liver tissue obtained from partial liver resections using a two-step EDTA/collagenase perfusion technique. For a direct comparison of the influence of glucose/insulin supplementation, we modified the setup, enabling the parallel isolation of two pieces of one tissue sample with varying perfusate. Independent of the BMI of the patient, the glycogen content in liver tissue was notably low in the majority of samples. Furthermore, supplementation with glucose and insulin had no beneficial effect on the glycogen concentration of isolated PHHs. However, an indirect improvement of the availability of energy was shown by increased viability, plating efficiency and partial cellular activity after supplementation. The plating efficiency showed a striking inverse correlation with increasing lipid content of PHHs. However, 60 h of cultivation time revealed no significant impact on the maintenance of albumin and urea synthesis or xenobiotic metabolism after supplementation. In conclusion, surgical procedures and tissue handling may decrease hepatic energy resources and lead to cell stress and death. Consequently, PHHs with low energy resources die during the isolation process without supplementation of glucose/insulin or early cell culture, while their survival rates are improved with glucose/insulin supplementation.
Tuning Optimizers for Time-Constrained Problems using Reinforcement Learning

Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based “controllers” that modulate the behavior of the optimizer during the optimization process. For example, in the LMA a damping parameter λ is dynamically modified based on a set of rules that were developed using various heuristic arguments. Here we show that a modern reinforcement learning technique utilizing a very simple state space can dramatically improve the performance of general purpose optimizers, like the LMA, on problems where the number of function evaluations allowed is constrained by a budget. Results are given on both classical non-linear optimization problems as well as a difficult computer vision task. Interestingly the controllers learned for a particular optimization domain work well on other optimization domains. Thus, the controller appeared to have extracted optimization rules that were not just domain specific but generalized across a range of optimization domains.
affect currency risk exposure ? Evidence from a sample of French acquirers

SKEMA Business School, Avenue Willy Brandt, F‐59777 Euralille, France Univ. Lille Nord de France, 1 place Déliot ‐ BP381, F‐59020 Lille, France This draft: January 13, 2012 ABSTRACT The paper examines cross‐border takeovers through the lens of currency risk management. Using a sample of 152 large cross‐border deals undertaken by listed French firms, the study document that, acquirers are firms with higher exposure to target currency prior to the takeover announcement. The value of the acquiring firm becomes less sensitive to the target currency following the transaction. Acquirer abnormal returns are also positively associated with a decrease in exposure to the target currency. The gain is economically substantial. For an acquirer worth €100 million in equity, a one‐ unit decrease in currency exposure leads to a euro gain of €1.68 million.
Customer Based Brand Equity: A Factor Analytical Approach

Banking is a customer oriented service industry and Indian banks have started realizing that business depends on client service and the satisfaction of the customer. This is compelling them to focus on building brand equity that leads to enhancing the customer satisfaction. Some authors suggest a positive connection between Customer Satisfaction and Brand equity (Aaker, 1992; Anderson and Sullivan, 1993; Blackston, 2000; Keller, 1993). For building successful brand equity in the banking sector, customers must be convinced that there are meaningful differences among the banks brands. Customer's perceptions play an important role in enhancing the brand value. Building a powerful brand is all about creating the strongest positive perception in the minds of customers (James Hammond, 2013). Branding helps to make a perception in the minds of customers. Once that perception is made, it is very difficult to change the perception because it blocks all the senses of customers. Banks need to find out what are the main determinants of customer's perception towards bank brand so that they can focus on those particular dynamics. The current paper aims to serve the aforesaid purpose i.e. to identify those factors which determine the strong customer based brand equity in the banking industry.For this purpose, a structured questionnaire was developed and a sample of 120 respondents was taken from selected Public Sector banks and Private Sector banks. The results produced six factors i.e. Brand investments, Brand performance, Brand salience, Brand verdict, Brand feelings and Brand unfamiliarity accounted for 73 percent variance. The findings revealed that out of the six factors extracted from the study, Brand verdict emerged as the most significant factor that leads to the determination of customer based brand equity. <br><br>
Humanizing the working environment in health care through music and movement – The importance of embodied leadership

In the workplaces of our health care institutions today, stress and burnout are common issues and pressing ones to be addressed by organisational leaders. The chapter considers how the development of empathy can help ease not simply the symptoms of stress and burnout but the causes of it. Drawing on theories of mirroring, emotional brain and embodiment, I examine how the combination of music and movement facilitates access to the emotions of others and helps us to better understand their experiences. I also discuss
Money for Something: Braided Funding and the Structure and Output of Research Groups

In 2017, the federal government invested over $40 billion on university research; another $16 billion came from private sector sources. The expectation is that these investments will bear varied fruits, including outputs like more economic growth, more scientific advances, the training and development of future scientists, and a more diverse pipeline of STEM researchers; an expectation that is supported by the work of recent Nobel Laureate in Economics, Paul Romer. Yet volatility in federal funding, highlighted by a 35 day federal shutdown in early 2019, has resulted in an increased interest on the part of scientists in finding other sources of funding. Understanding the effect of such different funding streams on research outputs is thus of more than academic importance, particularly because there are likely to be tradeoffs, both in terms of the structure of research and in terms of research outputs. For example, federal funding is often intended to affect the structure of research, with explicit goals of training the next generation of scientists and promoting diversity; those goals are less salient for non-federal funding. On the output side, federally funded research may be more likely to emphasize producing purely scientific outputs, like publications, rather than commercial outputs, like patents. The contribution of this paper is to use new data to examine how different sources of financial support – which we refer to as "braided" funding – affect both the structure of scientific research and the subsequent outputs.
Text Classification on Dataset of Marine and FisheriesSciences Domain using Random Forest Classifier

The number of text documents contained opinions and suggestions are increasing and challenging to interpret one by one. Whereas if the text documents are processed and properly interpreted, this text document can provide a general overview of a particular case, organization, or object. This research focused on text classification on marine and fisheries domain by analyzing the Twitter data related to Ministry of Marine Affairs and Fisheries, Republic of Indonesia. By using random forest algorithm, this research will classify text documents whether classified as complaint or non-complaint based on existing data in social media in order to support follow up to the complaint. Related work of random forest algorithm included Bosch, Zisserman, and Muoz (2007); Schroff, Criminisi, and Zisserman (2008); Kuznetsova, Leal-Taixé, and Rosenhahn (2013); Shotton et al., (2013); Joshi, Monnier, Betke, and Sclaroff (2017) has been used as references to completed this research. The phase of this research including data acquisition, data pre-processing, feature selection, classification and classifier evaluation. As the result, we foundbest performance is achieved when we use parameters with values, i.e. 'bootstrap': False, 'min_samples_leaf': 1, 'n_estimators': 10, 'min_samples_split': 3, 'criterion': 'entropy', 'max_features': 3, 'max_depth': None. The best score is achieved in this experiment is 0.956063268893 using those parameter values with computational time required to tune parameters is 109.399434 second.
Adaptive Nonlinear Hierarchical Control of a Novel Quad Tilt-Wing UAV

Position control of a novel unmanned aerial vehicle SUAVI (Sabanci University Unmanned Aerial Vehicle) via a nonlinear hierarchical adaptive control approach is presented in this paper. The hierarchy consists of two levels. In the upper level, a model reference adaptive controller creates virtual control commands so as to make the UAV follow a given desired trajectory. The virtual control inputs are then converted to desired attitude angle references which are fed to the lower level attitude controller. Lower level controller is a nonlinear adaptive controller. The overall controller is developed for the full nonlinear dynamics of the tilt-wing UAV and thus no linearization is required. In addition, since the approach is adaptive, uncertainties in the UAV dynamics can be handled. Performance of the control approach is presented via simulation results.
Consulta de enfermagem

A aplicacao do processo de enfermagem em sessenta individuos, aparentemente sadios identificou 28 necessidades basicas alteradas, com uma media de nove para cada cliente. Encontrou-se como constante a interrelacao entre as necessidades de eliminacao, hidratacao e nutricao. O plano assistencial consistiu em orientacao, controle e encaminhamento.
Série des Documents de Travail n ° 2017-51 A normalized value for information purchases A . CABRALES

Consider agents who are heterogeneous in their preferences and wealth levels. These agents may acquire information prior to choosing an investment that has a property of no-arbitrage, and each piece of information bears a corresponding cost. We associate a numeric index to each information purchase (information-cost pair). This index describes the normalized value of the information purchase: it is the risk-aversion level of the unique CARA agent who is indifferent between accepting and rejecting the purchase, and it is characterized by a “duality” principle that states that agents with a stronger preference for information should engage more often in information purchases. No agent more risk-averse than the index finds it profitable to acquire the information, whereas all agents less risk-averse than the index do. Given an empirically measured range of degrees of risk aversion in a competitive economy with no-arbitrage investments, our model therefore comes close to describing an inverse demand for information, by predicting what pieces of information are acquired by agents and which ones are not. Among several desirable properties, the normalized-value formula induces a complete ranking of information structures that extends Blackwell’s classic ordering. © 2017 Elsevier Inc. All rights reserved. ✩ This is a major rewrite of a paper previously circulated under the title “The Appeal of Information Transactions. ” We are grateful to Mihaïlo Backović, Héctor Calvo, Andrew Caplin, Mark Dean, Eddie Dekel, Rich Kihlstrom, Romain Rancière, Phil Reny, Larry Samuelson, Marco Scarsini, Eytan Sheshinski, Ran Shorrer, Laura Veldkamp, and anonymous referees for comments and encouragement. We thank Judith Levi for her excellent editing job. * Corresponding author. E-mail addresses: a.cabrales@ucl.ac. uk (A. Cabrales), olivier.gossner@polytechnique.edu (O. Gossner), roberto_serrano@brown.edu (R. Serrano). http://dx.doi. org/10.1016/j.jet. 2017.05. 007 0022-0531/© 2017 Elsevier Inc. All rights reserved. A. Cabrales et al. / Journal of Economic Theory 170 (2017) 266–288 267 JEL classification: C00; C43; D00; D80; D81; G11
Joint Angle And Delay Estimation (Jade) By Partial Relaxation

This paper addresses the Joint Angle and Delay estimation problem of a received multi-carrier frame through multiple antennas. In particular, each source is parameterized through its complex gain, Time-of-arrival (ToA) and Angle-of-arrival (AoA). We develop three novel JADE methods in a partially relaxed model, where one relaxes the interference zone, while focusing on a certain direction at a given time. Computer simulations are given with comparison to the Cramér-Rao Bound.
A42/A40 and A42/A38 Ratios Are Associated with Measures of Gait Variability and Activities of Daily Living in Mild Alzheimer's Disease

Gait disturbances are some of the earliest changes in dementia and their monitoring presents an opportunity for early diagnosis. The exact relationship between gait and well-established biomarkers of Alzheimer’s disease (AD) remains to be clarified. In this study we compared gait-related measures with cerebrospinal fluid (CSF) markers of AD pathology. We recruited seventeen participants with mild AD in a multi-site study and performed gait assessment as well as lumbar punctures to obtain CSF. CSF A 42/A 40 and A 42/A 38 correlated positively with measures of variability (step time and step length) in the clinic-based assessments. This was driven by a negative relationship between gait variability and A 40 and A 38 but not A 42.The amyloid ratios and gait variability measures were also associated with more severe functional impairment. ∗Correspondence to: Ivan Koychev, Department of Psychiatry, University of Oxford, Warnerford Hospital, Warneford Lane, OX37JX, UK. E-mail: ivan.koychev@psych.ox. ac.uk. ISSN 1387-2877/18/$35.00 © 2018 – IOS Press and the authors. All rights reserved This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0). 1378 I. Koychev et al. / Gait Variability and Amyloid in Alzheimer’s Disease We interpret these data as an indication that increasing amyloid production (i.e., increasing A 40 and A 38) is associated with diminishing cognitive-motor control of gait. These preliminary results suggest that the two amyloid ratios may be a marker of the earliest disturbances in the interplay between cognitive and motor control which characterize dementia.
Voxel Based Analysis of 3D Double Inversion Recovery for the detection of cortical abnormalities in drug resistant epilepsy

Elise Bannier, Camille Maumet, Anca Pasnicu, Jean-Christophe Ferré, Eduardo Pasqualini, Arnaud Biraben, Jean-Yves Gauvrit, and Christian Barillot Neurinfo MR imaging platform, University of Rennes, Rennes, France, INRIA, VisAGeS Project-Team, Rennes, France, CHU Rennes, Fuctionnal Explorations Department, Rennes, France, CHU Rennes, Neuroradiology Department, Rennes, France, CHU Rennes, Neurosurgery Department, Rennes, France, CHU Rennes, Neurology Department, Rennes, France, INSERM, U746, Rennes, France
Time-Saving Food Preparation Pattern and its Relationship to Income and Age Cohort in Korea

This study investigates the relationship between consumers’ perception of time scarcity and its determinants, focusing on their food preparation behavior. Through cluster analysis, consumers are classified according to their time allocation for food preparation. Two clusters of consumer groups—those with relatively time-spending and time-saving lifestyles—are identified depending on the survey questions associated with food preparation time. A binomial logit model in which the derived clusters are included as a dependent variable in the form of binary variables is estimated to analyze the effects of the determinants of the time-saving lifestyle. The effects that impact the probability of consumers being classified into the time-saving lifestyle are estimated to be significantly different from one generation to another and across the income cohorts. The demographic factors influencing consumers to be in the time-saving lifestyle are found to be marriage, education level, number of family members, wife’s labor force participation, and residence in an urban area. * Department of Agricultural and Consumer Economics, University of Illinois Urbana-Champaign, Urbana, IL 61801 ** Department of Food and Resource Economics, Korea University, Anam-dong Seongbuk-gu, Seoul, 02841, South Korea. Corresponding author. e-mail: ahn08@korea.ac. kr 124 Journal of Rural Development 41(Special Issue)
Dominant Tree Species Shape Soil Microbial Community via Regulating Assembly Processes in Planted Subtropical Forests

Understanding the ecological processes that regulate microbial community assembly in different habitats is critical to predict microbial responses to anthropogenic disturbances and environmental changes. Rubber (Hevea brasiliensis) and Eucalypt (Eucalyptus urophylla) plantations (thereafter RP and EP) are rapidly established at the expense of forests in tropical China, greatly affecting tropical soils and their processes. However, the assembly processes of soil microbial communities after forest conversions remain unclear. We investigated soil microbial communities’ attributes and quantified the portion of deterministic assembly variation in two RP (a 3- and a 5-year-old) and two EP (a 2- and a 4-year-old) in Southern China. Shannon and Faith’s Phylogenetic α-diversity of both bacterial and fungal communities were higher in RP than in EP, regardless of plantation age or soil depth (0–50 cm). Bacterial and fungal community structure was significantly different among the four plantations. The dominant microbial taxa in RP closely tracked the availability of nitrogen, phosphorus and potassium (K) while those in EP were closely related to the high total K content. Microbial co-occurrence networks in RP were more modular than those in EP, as governed by more keystone taxa that were strongly dependent on soil available nutrients. Environmental filtering imposed by soil nutrients heterogeneity contributed a considerable portion (33–47%) of bacterial assembly variation in RP, but much less (8–14%) in EP. The relative contribution of environmental selection on fungal assembly was also greater in RP than in EP. Our findings suggest that in RP clear microbial community patterns exist with respect to soil nutrients, whereas in EP microbial community assembly patterns are more stochastic and variable. The large variation in soil microbial community assembly patterns in EP could lead to fragile and unstable microbial-soil relationships, which may be one factor driving soil degradation in EP.
Development of an Automated Tracking System of Tagged Wild Animals

The objective of this study is to develop a tracking algorithm which would allow a biologist to locate tagged animals using an unmanned aerial vehicle. The algorithm is developed to track the red wolves in a wildlife refuge in North Carolina. The red wolf is an endangered species and there are about a hundred of them living in the wild. For tracking purposes, each animal is outfitted with a collar containing a radio transmitter which emits a signal of a specific frequency over a given range. Using transmitter signal range, we discretize the refuge terrain map and develop a suboptimal greedy algorithm to search for the probabilistic targets striving to minimize the expected traveling time. To reduce the computational complexity, we consider a two-layered approach to the search problem. At the top level, the algorithm chooses the pack sectors as targets and, at the lower level, employs a local policy to travel between the discrete sensing locations. Using the animal behavior model provided by the wildlife biologists, we develop the probability rules to update the predicted target locations given the location of already found wolves. Finally, we present the results of a numerical simulation.
Minerva: Decentralized Collaborative Query Processing over InterPlanetary File System

Data silos create barriers in accessing and utilizing data dispersed over networks. Directly sharing data easily suffers from the long downloading time, the single point failure and the untraceable data usage. In this paper, we present Minerva, a peer-to-peer cross-cluster data query system based on InterPlanetary File System (IPFS). Minerva makes use of the distributed Hash table (DHT) lookup to pinpoint the locations that store content chunks. We theoretically model the DHT query delay and introduce the fat Merkle tree structure as well as the DHT caching to reduce it. We design the query plan for read and write operations on top of Apache Drill that enables the collaborative query with decentralized workers. We conduct comprehensive experiments on Minerva, and the results show that Minerva achieves up to $2.08 \times$ query performance acceleration compared to the original IPFS data query, and could complete data analysis queries on the Internet-like environments within an average latency of $0.615$ second. With collaborative query, Minerva could perform up to $1.39 \times$ performance acceleration than centralized query with raw data shipment.