Miracle-dz/UniFAR-FTUs huggingface dataset:
A Memory Game for All : Differences and Perception as a Design Strategy

In this paper, we present a literature analysis of accessibility in games based on Natural User Interface (NUI). We also present a case study where we made an adaptation to the traditional memory game and tested it with four visually impaired people. This adaptation was conceived from a Universal Design perspective, and employed NUI. The analysis of both literature and the case study allows us to propose a design strategy for natural interactions for all. Keywords-Universal Design; Accessibility; Tangible User Interface; TUI; Natural User Interface; NUI; Natural Interaction;
Expanding Pension Coverage : A Dynamic Analysis of Chile ’ s Pension Reform

This paper develops and estimates a dynamic model of individuals’ and couples’ labor supply and saving decisions to analyze the effects of a recent pension reform in Chile. Chile has one of the longest-running nationwide private retirements accounts systems in the world, operating since 1980, and its pension system served as a model for many other countries. In 2008, Chile undertook a major reform, which introduced new features designed to reduce old-age poverty and gender gaps in pensions. We estimate the model using data collected prior to the reform and assess its out-of-sample fit to one year of post-reform data. The model is then used it to evaluate the short and long term effects of the pension reform in comparison to alternative pension program designs. JEL Classification: J240, J260, E210, E260, O170 ∗Petra E. Todd is the Alfred L. Cass Term Professor of Economics at the University of Pennsylvania and Clement Joubert is an Assistant Professor of Economics at the University of North Carolina at Chapel Hill. This paper builds on an initial report that Todd and Joubert wrote an initial version of as consultants to the Budget Office (Direccion de Presupuestos) in the Chilean government. The paper was presented at the LACEA meetings in Santiago, Chile, Nov., 2011. We would like to thank Alberto Arenas, David Bravo, Santiago Levy, Evelyn Matthei, Beatriz Moraga, Roy Rogers, and the Superintendencia de Pensiones for very helpful comments. We also are grateful for funding for research assistants from the National Institutes of Health National Institute on Aging, Grant number P30 AG12836, the Boettner Center for Pensions and Retirement Security at the University of Pennsylvania, and National Institutes of Health ? National Institute of Child Health and Development Population Research Infrastructure Program R24 HD-044964, all at the University of Pennsylvania.
Dose‐escalation trial of combination dabrafenib, trametinib, and AT13387 in patients with BRAF‐mutant solid tumors

Combination BRAF and MEK inhibitor therapy is an active regimen in patients who have BRAF V600E‐mutated tumors; however, the clinical efficacy of this therapy is limited by resistance. Preclinically, the addition of heat shock protein 90 (HSP90) inhibition improves the efficacy of BRAF inhibitor therapy in both BRAF inhibitor–sensitive and BRAF inhibitor–resistant mutant cell lines.
Dietary consumption of tea and the risk of prostate cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial

Abstract Tea contains polyphenols such as flavonoids, anthocyanidins, flavanols and phenolic acids which in laboratory studies have reported to promote antioxidant enzyme formation, reduces excess inflammation, slow cancer cell proliferation and promote apoptosis. Evidence from epidemiological studies on the effect of tea consumption on prostate cancer (CaP) incidence has been conflicting. We analysed data from 25 097 men within the intervention arm of the 155 000 participant Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Histologically confirmed cases of prostate cancer were reported in 3088 men (12·3 %) during the median 11·5 year follow-up. Tea consumption was assessed with a FFQ. Baseline characteristics were compared between groups using χ2 and Kruskal–Wallis tests. Cox regression models were used to assess associations between tea intake and CaP incidence. There was no statistical difference between the risk of CaP between men who never drank tea to those who drank tea at any quantity. Amongst tea drinkers, those in the highest third of consumption group had a small but significantly lower risk compared with those in the lowest third (11·2 % v. 13·2 % hazard ratio 1·16; (95 % CI 1·05, 1·29), P = 0·004). This pattern persisted with adjustments for demographics and lifestyle. In conclusion, among tea drinkers, there was a small positive association between drinking tea and a reduced risk of prostate cancer. It does not support starting to drink tea, if men previously did not, to reduce the risk. Further research is needed to establish whether tea is justified for future prospective nutritional intervention studies investigating CaP prevention.
Utility of adzuki bean (Vigna angularis (Willd.) Ohwi & Ohashi) simple sequence repeat (SSR) markers in genetic analysis of mungbean and related Vigna spp.

In the present study, 78 mapped simple sequence repeat (SSR) markers representing 11 linkage groups of adzuki bean were evaluated for transferability to mungbean and related Vigna spp . 41 markers amplified characteristic bands in at least one Vigna species. The transferability percentage across the genotypes ranged from 60.97 to 92.6% with 87.8% in Vigna radiata and Vigna mungo , 62.2% in Vigna unguiculata, 91.8% in Vigna umbellata , 78% in Vigna mungo var. sylvestris and 80% in Vigna trilobata, respectively. Five major clusters were observed using unweighted pair group method with an arithmetic mean (UPGMA) with each cluster representing a particular Vigna species. We have successfully utilized adzuki bean SSRs in amplifying microsatellite sequences in Vigna species and inferring phylogenetic relationships by correlating the rate of transfer among them. The polymorphic SSR markers identified in this study would be useful in the analysis of genetic diversity, gene mapping and other aspects of genetic studies in mungbean and related species. Key words : Adzuki bean, simple sequence repeat (SSR), inter-genomic marker transferability, genetic diversity, mungbean, Vigna spp.
Mathematical and Computer Modelling of Dynamical Systems Methods , Tools and Applications in Engineering and Related Sciences

This paper illustrates a general synthesis methodology of asymptotic stabilizing, energy-based, boundary control laws that are applicable to a large class of distributed port-Hamiltonian systems. The methodological results are applied on a simplified model of an isothermal tubular reactor. Due to the presence of diffusion and convection, such example, even if relatively easy from a computational point of view, is not trivial. The idea here is to design a state feedback law able to perform the energy-shaping task, i.e. able to render the closed-loop system a portHamiltonian system with the same structure, but characterized by a new Hamiltonian with a unique and isolated minimum at the equilibrium. Asymptotic stability is then obtained via damping injection on the boundary and is a consequence of the LaSalle’s Invariance Principle in infinite dimensions. ARTICLE HISTORY Received 27 November 2015 Accepted 31 August 2016
Robust Feature Based Automatic Text-Independent Gender Identification System Using Gmm

In this paper, robust feature for Automatic text-independent Gender Identification System has been explored. Through different experimental studies, it is demonstrated that the timing varying speech related information can be effectively captured using Gaussian Mixture Models (GMMs). The study on the effect of feature vector size for good Gender Identification demonstrates that, feature vector size in the range of 18-22 can capture Gender related information effectively for a speech signal sampled at 16 kHz, it is established that the proposed Gender Identification system requires significantly less amount of data during both during training as well as in testing. The Gender Identification study using robust features for different mixtures components, training and test duration has been exploited. I demonstrate the Gender Identification studies on TIMIT database.
Tapping the large genetic variability for salinity tolerance in chickpea

Salinity is an ever-increasing problem in agriculture worldwide and especially in Australia. Improved genotypes that are well adapted to saline conditions are needed to enhance and sustain production in these areas. A screening of 263 accessions of chickpea, including 211 accessions from ICRISAT’s minicore collection (10% of the core collection and 1% of the entire collection), showed a six-fold range of variation for seed yield under salinity, with several genotypes yielding 20% more than the previouslyreleased salinity tolerant cultivar CSG8962. No significant relation was found between biomass at the late vegetative stage and final seed yield under salinity. Performance of seed yield under salinity was explained in part by the yield potential under control conditions, and a salinity tolerance component. The major trait related to salinity tolerance was the ability to maintain under salinity a large number of viable pods with seeds. In contrast, the relative seed size under salinity did not differ between tolerant and sensitive genotypes. Preliminary analysis of genotypic data for approximately 50 SSR markers on 211 genotypes revealed some associations with salinity tolerance that deserve a detailed analysis. Future effort should focus on the effect of salinity on the reproductive stage of development.
Event-related potentials reveal differential brain regions implicated in discounting in two tasks

The way people make decisions about future benefits – termed discounting - has important implications for both financial planning and health behaviour. Several theories assume that, when delaying gratification, the lower weight given to future benefits (the discount rate) declines exponentially. However there is considerable evidence that it declines hyperbolically with the rate of discount being proportionate to the delay distance. There is relatively little evidence as to whether neural areas mediating time dependent discounting processes differ according to the nature of the task. The present study investigates the potential neurological mechanisms underpinning domain-specific discounting processes. We present high-density event-related potentials (ERPs) data from a task in which participants were asked to make decisions about financial rewards or their health over short and long time-horizons. Participants (n=17) made a button-press response to their preference for an immediate or delayed gain (in the case of finance) or loss (in the case of health), with the discrepancy in the size of benefits/losses varying between alternatives. Waveform components elicited during the task were similar for both domains and included posterior N1, frontal P2 and posterior P3 components. We provide source dipole evidence that differential brain activation does occur across domains with results suggesting the possible involvement of the right cingulate gyrus and left claustrum for the health domain and the left medial and right superior frontal gyri for the finance domain. However, little evidence for differential activation across time horizons is found.
Who Should Be Afraid of the Jeffreys-Lindley Paradox?

The article revisits the large n (sample size) problem as it relates to the Jeffreys-Lindley paradox to compare the frequentist, Bayesian, and likelihoodist approaches to inference and evidence. It is argued that what is fallacious is to interpret a rejection of as providing the same evidence for a particular alternative , irrespective of n; this is an example of the fallacy of rejection. Moreover, the Bayesian and likelihoodist approaches are shown to be susceptible to the fallacy of acceptance. The key difference is that in frequentist testing the severity evaluation circumvents both fallacies but no such principled remedy exists for the other approaches.
And Then He Wasn’t a She: Climate Change and Green Transitions in an Agent-Based Integrated Assessment Model

In this work, we employ an agent-based integrated assessment model to study the likelihood of transition to green, sustainable growth in presence of climate damages. The model comprises heterogeneous fossil-fuel and renewable plants, capital- and consumption-good firms and a climate box linking greenhouse gasses emission to temperature dynamics and microeconomic climate shocks affecting labour productivity and energy demand of firms. Simulation results show that the economy possesses two statistical equilibria: a carbon-intensive lock-in and a sustainable growth path characterized by better macroeconomic performances. Once climate damages are accounted for, the likelihood of a green transition depends on the damage function employed. In particular, aggregate and quadratic damage functions overlook the impact of climate change on the transition to sustainability; to the contrary, more realistic micro-level damages are found to deeply influence the chances of a transition. Finally, we run a series of policy experiments on carbon (fossil fuel) taxes and green subsidies. We find that the effectiveness of such market-based instruments depends on the different channels climate change affects the economy through, and complementary policies might be required to avoid carbon-intensive lock-ins.
Skin cancer and deep learning for dermoscopic images classification: A pilot study.

e22018 Background: The prevalence of skin cancer is increasing worldwide. According to World Health Organization (WHO),there is one in every three cancers diagnosed in US is a skin cancer. Traditional ways for skin cancer diagnosis have shown many limitations: inadequate accuracy, consume much time, and effort. In order to assist dermatologists for earlier and accurate diagnosis, we propose to develop a computer aided diagnosis systems for automatic classification of skin lesions. Deep learning architectures are used in this area based on a new convolutional neural network that can classify skin lesions with improved accuracy. Methods: A public dataset of skin lesions HAM10000 ("Human Against Machine with 10000 training images") is used for training and testing. For the validation of our work, a private dataset is collected from a dermatology office in Besançon (France). This dataset contains 45 different dermatoscopic images of skin lesions (Basal cell carcinoma, squamous cell carcinoma and Actinic keratosis) with their histology results. In this research, a three-phase approach was proposed and implemented: Phase one is preprocessing the data; by amputate missing values using the mean filling method. The dermoscopy images in the dataset were downscaled to 224X224 pixels. Then, data augmentation was applied to solve the imbalanced data problem. Finally, the ten-fold cross-validation method was applied to compare the performance of three CNN architectures used in literature: DenseNet 201, ResNet 152, and VGGNet with our proposed architecture. Results: Results obtained with our model show the highest classification accuracy 0.95, a sensitivity of 0, 96, a specificity of 0.94, and outperforms other algorithms in classifying these skin lesions. Conclusions: Our research improves the performance of computer aided diagnosis systems for skin lesions by giving an accurate classification. The use of this system helps dermatologists to make accurate classification with lower time, cost, and effort. Our future work will focus on generalizing the domain by developing a model that can classify various lesions using various types of data (dermoscopic images, histological images, clinical data, sensors data.etc) using the advanced techniques in literature of transfer learning and adaptors models.
SDS-Page and numerical analysis of Candida albicans from human oral cavity and other anatomical sites

O objetivo da presente pesquisa foi analisar os graus de polimorfismos proteicos entre isolados de C. albicans provenientes de diversos sitios anatomicos de quarenta e dois pacientes clinicos, atraves do emprego da eletroforese em gel de poliacrilamida (SDS-PAGE) e analise numerica, a fim de se identificar subespecies e suas similaridades nos diversos nichos infecciosos. Culturas celulares foram desenvolvidas em meio YEPD, coletadas por centrifugacao e lavadas com solucao salina gelada. As proteinas celulares totais, foram extraidas por rompimento celular, usando perolas de vidro e submetidas a tecnica de SDS-PAGE. Apos a eletroforese, as bandas de proteinas foram coradas com coomassie-blue e analisadas pelo conjunto de programas estatistico NTSYS-pc versao 1,70. Matrizes de similaridade e dendrogramas foram gerados pela aplicacao do coeficiente de similaridade simple-matching e do algoritmo UPGMA, respectivamente. Os resultados obtidos revelaram varios subtipos de C. albicans e seus graus de similaridade (80% a 100%). Tais dados permitiram demonstrar que, certos pacientes podem estar infectados com dois ou mais subtipos de C. albicans em determinados sitios anatomicos (i.e. apenas na cavidade oral de pacientes imunocomprometidos, sangue ou secrecao traqueal), ou ainda, dois ou mais pacientes podem estar infectados em sitios anatomicos identicos (i.e. apenas em lavagem bronquica, urina, cavidade oral, secrecao traqueal, secrecao vaginal ou saliva saudavel) com um mesmo subtipo de C. albicans. No entanto, dois ou mais pacientes tambem podem apresentar infeccoes em sitios correspondentes (i.e. apenas na cavidade oral de pacientes imunocomprometidos, sangue, secrecao orofaringea, cavidade oral, secrecao traqueal, secrecao vaginal e saliva saudavel) por diferentes subtipos de C. albicans. Alem disso, dois ou mais pacientes tambem podem estar infectados com subtipos identicos ou nao de C. albicans em diferentes sitios anatomicos (i.e.1. identicos subtipos na secrecao vaginal, secrecao traqueal e urina; secrecao abdominal e escarro; drenagem e cavidade oral; cateter e saliva saudavel - i.e.2. diferentes subtipos em lavagem bronquica, secrecao orofaringea, secrecao pulmonar, cavidade oral de pacientes imunocomprometidos e sangue). Dados complementares envolvendo amostras de C. albicans isoladas de varios sitios anatomicos de pacientes imunocompetentes ou imunocomprometidos (antes, durante e apos terapias especificas) e seus familiares ou trabalhadores hospitalares, deverao ser obtidos a fim de se estabelecer as possiveis fontes de colonizacao por esses microrganismos. De modo geral, os perfis de proteinas totais obtidos por SDS-PAGE associados com analise numerica computadorizada, permitem a obtencao de criterios adicionais para os estudos epidemiologicos e taxonomicos de C. albicans.
Aalborg Universitet Generalized sampling in

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Acute Myeloid Leukemia in a Father and Son with a Germline Mutation of ASXL 1

Background: Myelodysplastic syndromes and acute myeloid leukemia usually occur sporadically in older adults. More recently cases of familial acute myeloid leukemia and/or myelodysplastic syndrome have been reported. Case presentation: Currently we report a father and son who both developed myelodysplastic syndrome that progressed to acute myeloid leukemia. Both patients were found to have the identical mutation of ASXL1 on nextgen sequencing of both hematologic and nonhematologic tissues. Conclusions: These cases support the diagnosis of a germline mutation of ASXL1.
Conserving biodiversity in New Zealand’s lowland landscapes: Does forest cover or pest control have a greater effect on native birds?

Effective biodiversity conservation in lowland New Zealand requires an understanding of the relative benefits of managing impacts of native forest loss versus controlling invasive species. We used bird count data from 195 locations across mainland northern New Zealand to examine how the abundance and richness of native forest birds varied across wide gradients of native forest cover (c. 0–100%) and intensity of invasivespecies control (‘eradication’, ‘high-intensity rat and possum’, ‘low-intensity rat and possum’, ‘periodic possum’ and ‘none’). Most response variables were significantly affected by forest cover, and this effect was typically non-linear: response variables declined rapidly below c. 5–10% forest cover, but were relatively invariant to forest cover above this point. Pest control was found to affect surprisingly few species, with only kereru (Hemiphaga novaeseelandiae) and tui (Prosthemadera novaeseelandiae) being more abundant at pest controlled than uncontrolled sites for any pest control category. Species richness and ‘total abundance’ (abundance of all species combined) also increased at pest controlled sites, but effects were largely driven by responses of tui and kereru. Effects of eradication were far larger than effects of other pest control categories, while it was unclear whether ‘low-intensity rat and possum’ or ‘periodic possum’ control had any effects at all. Our results suggest that both managing levels of forest cover and controlling invasive mammals can benefit native forest birds, but the occurrence and magnitude of these benefits will be context-dependent. Managing forest cover may be relatively unimportant in landscapes with >5–10% forest cover, while benefits of pest control may be limited unless intensive methods are used. Moreover, even intensive pest control may only benefit a small subset of species unless coupled with reintroduction of locally-extinct species. Combining these results with knowledge of the financial, ethical, and social constraints of different management options should provide a solid foundation for effective conservation decision-making in lowland environments.
Impact of echo broadening ef fect on active range-gated imaging

Analytical formulas and experimental proof of the echo broadening effect in active range-gated imaging, including atmospheric interference, currently exist. We investigate the impact of this effect on target detection. Our research demonstrates that the echo broadening effect affects the energy profile of the depth of view and collects only part of the signals of targets in head and tail zones. Under bad weather conditions, the effect weakens the signal-to-noise ratio (SNR) of images, especially in cases with large laser pulse width. Fortunately, by modifying the laser pulse width, the effect can be controlled. These results are valuable to the applications of active range-gated imaging.
Deployment of SDN Based Openflow System and Related Network Topologies

Today’s network switches require reconfigurations from time to time, as they have data forwarding plane and control plane positioned together in same devices. This results in complex working of switches, with inefficient performance in terms of repeated functionality and delayed delivery. This system based on SDN gives an idea to separate packet forwarding functionality from control functionality from such devices which results in efficient network communication. OpenFlow is one of the SDN technique provides network architectural paradigm to networking. By decoupling the control plane from data plane, SDN can achieve repolicing. Using OpenFlow, a network administrator can modify the nature of network by writing simple software programs, which manipulate the logical map of network. This system elaborates use of an OpenFlow switch in network with various topologies having single, multiple switches.