Miracle-dz/UniFAR-FTUs huggingface dataset:
Polymodal Menus : A Model-based Approach for Designing Multimodal Adaptive Menus for Small Screens

This paper presents a model-based approach for designing Polymodal Menus, a new type of multimodal adaptive menu for small screen graphical user interfaces where item selection and adaptivity are responsive to more than one interaction modality: a menu item can be selected graphically, tactilely, vocally, gesturally, or any combination of them. The prediction window containing the most predicted menu items by assignment, equivalence, or redundancy is made equally adaptive. For this purpose, an adaptive menu model maintains the most predictable menu items according to various prediction methods. This model is exploited throughout various steps defined on a new Adaptivity De-sign Space based on a PerceptionDecision-Action cycle coming from cognitive psychology. A user experiment compares four conditions of Polymodal Menus (graphical, vocal, gestural, and mixed) in terms of menu selection time, error rate, user subjective satisfaction and user preference, when item prediction has a low or high level of accuracy. Polymodal Menus offer alternative input/output modalities to select menu items in various contexts of use, especially when graphical modality is constrained.
UvA-DARE ( Digital Academic Repository ) Active Transfer Learning with Zero-Shot Priors : Reusing Past Datasets for Future

How can we reuse existing knowledge, in the form of available datasets, when solving a new and apparently unrelated target task from a set of unlabeled data? In this work we make a first contribution to answer this question in the context of image classification. We frame this quest as an active learning problem and use zero-shot classifiers to guide the learning process by linking the new task to the existing classifiers. By revisiting the dual formulation of adaptive SVM, we reveal two basic conditions to choose greedily only the most relevant samples to be annotated. On this basis we propose an effective active learning algorithm which learns the best possible target classification model with minimum human labeling effort. Extensive experiments on two challenging datasets show the value of our approach compared to the state-of-the-art active learning methodologies, as well as its potential to reuse past datasets with minimal effort for future tasks.
Title Coordinate descent with arbitrary sampling I : algorithms andcomplexity

We study the problem of minimizing the sum of a smooth convex function and a convex blockseparable regularizer and propose a new randomized coordinate descent method, which we call ALPHA. Our method at every iteration updates a random subset of coordinates, following an arbitrary distribution. No coordinate descent methods capable to handle an arbitrary sampling have been studied in the literature before for this problem. ALPHA is a remarkably flexible algorithm: in special cases, it reduces to deterministic and randomized methods such as gradient descent, coordinate descent, parallel coordinate descent and distributed coordinate descent – both in nonaccelerated and accelerated variants. The variants with arbitrary (or importance) sampling are new. We provide a complexity analysis of ALPHA, from which we deduce as a direct corollary complexity bounds for its many variants, all matching or improving best known bounds.
The effect of the DISC 1 Ser 704 Cys polymorphism on striatal dopamine synthesis capacity

Whilst the role of the Disrupted-in-Schizophrenia 1 (DISC1) gene in the aetiology of major mental illnesses is debated, the characterization of its function lends it credibility as a candidate. A key aspect of this functional characterization is the † The authors wish it to be known that, in their opinion, the last two authors should be regarded as joint Last Authors. Received: June 11, 2018. Revised: June 22, 2018. Accepted: June 22, 2018 VC The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com 3498 Human Molecular Genetics, 2018, Vol. 27, No. 20 3498–3506 doi: 10.1093/hmg/ddy242 Advance Access Publication Date: 26 June 2018
Global minima and energetics of Li + ( H 2 O ) n and Ca 2 + ( H 2 O ) n clusters for n 6 20

We present candidate structures for the global potential energy minima of X(H2O)n (X = Li , Ca) clusters with n 6 20. The TIP4P rigid body water–water potential is employed, together with cation–water interactions that are represented as a sum of Coulomb and Lennard–Jones terms. We find that in the Li global minima the cation tends to be located on the cluster surface with a preferred coordination number of four water molecules in tetrahedral positions. In contrast, for Ca clusters the cation occupies an interior site surrounded by eight water molecules in a square anti-prismatic arrangement. 2005 Elsevier B.V. All rights reserved.
Cardioprotective role of curcumin in myocardial ischemia-reperfusion of male albino rats

Our present study investigates the antioxidant potential of curcumin against the myocardial ischemiareperfusion (I/R) model of male albino rats. Reduction or alleviation of oxidative stress is a key factor to reduce ischemia-reperfusion based heart injury. Curcumin is well known natural agent and play a vital role in cardiac I/R damage. Myocardial I/R rat models were administrated curcumin utilized for in vivoinvestigation. H9C2 cell was used for the investigations. H9C2 cell viability, lipid peroxidation (MDA), superoxide dismutase (SOD) and catalase level was measured. Curcumin showed excellent antioxidant activity in the in vitro studies. Curcumin significantly inhibited oxidative stress-induced cell growth inhibitionand activated caspase 3 enzyme and bax/bax3 signaling pathways. Curcumin reduced significantly decreased apoptosis andsize of myocardial infarct in the I/R model of male albino rats. Taking all ou data together, it is concluded that curcumin is splendid antioxidant compound and significantly limits myocardial ischemia-reperfusion damage.
Isolation and Characterization of a Barley Yellow Stripe-Like Gene , HvYSL 5

Gene, HvYSL5 Luqing Zheng, Miho Fujii, Naoki Yamaji, Akimasa Sasaki, Miki Yamane, Isamu Sakurai, Kazuhiro Sato and Jian Feng Ma* Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, Japan These authors contributed equally to this work *Corresponding author: E-mail, maj@rib.okayama-u.ac. jp; Fax, +81-86-434-1209 (Received November 30, 2010; Accepted January 10, 2011)
Group and individual cognitive therapies in Alzheimer ’ s disease : the ETNA 3 randomized trial

Background: Although non-drug interventions are widely used in patients with Alzheimer’s disease, few large scale randomized trials involving a long-term intervention and several cognitive-oriented approaches have been carried out. ETNA3 trial compares the effect of cognitive training, reminiscence therapy, and an individualized cognitive rehabilitation program in Alzheimer’s disease to usual care. Methods: This is a multicenter (40 French clinical sites) randomized, parallel-group trial, with a twoyear follow-up comparing groups receiving standardized programs of cognitive training (group sessions), reminiscence therapy (group sessions), individualized cognitive rehabilitation program (individual sessions), and usual care (reference group). Six hundred fifty-three outpatients with Alzheimer’s disease were recruited. The primary efficacy outcome was the rate of survival without moderately severe to severe dementia at two years. Secondary outcomes were cognitive impairment, functional disability, behavioral disturbance, apathy, quality of life, depression, caregiver’s burden, and resource utilization. Results: No impact on the primary efficacy measure was evidenced. For the two group interventions (i.e. cognitive training and reminiscence), none of the secondary outcomes differed from usual care. The larger effect was seen with individualized cognitive rehabilitation in which significantly lower functional disability and a six-month delay in institutionalization at two years were evidenced. Conclusions: These findings challenge current management practices of Alzheimer’s patients. While cognitiveoriented group therapies have gained popularity, this trial does not show improvement for the patients. The individualized cognitive rehabilitation intervention provided clinically significant results. Individual interventions should be considered to delay institutionalization in Alzheimer’s disease.
Deposited in DRO : 08 December 2014 Version of attached

Background: Tackling childhood obesity is one of the major contemporary public health policy challenges and vital in terms of addressing socioeconomic health inequalities. We aimed to systematically review studies of the effectiveness of interventions (individual, community and societal) operating via different approaches (targeted or universal) in reducing socio-economic inequalities in obesity-related outcomes amongst children. Methods: Nine electronic databases were searched from start date to October 2012 along with website and grey literature searches. The review examined the best available international evidence from interventions that aimed to prevent obesity, treat obesity, or improve obesity-related behaviours (diet and/or physical activity) amongst children (aged 0-18 years) in any setting and country, so long as they provided relevant information and analysis on both socioeconomic status and obesity-related outcomes. Data extraction and quality appraisal were conducted using established mechanisms and narrative synthesis was conducted. Results: We located 23 studies that provided the ‘best available’ (strongest methodologically) international evidence. At the individual level (n = 4), there was indicative evidence that screen time reduction and mentoring health promotion interventions could be effective in reducing inequalities in obesity. For the community level interventions (n = 17), evidence was inconclusive with some studies suggesting that school-based health promotion activities and community-based group-based programmes were effective in reducing obesity others not. Societal level evaluations were few (n = 1). However, there was no evidence to suggest that any of these intervention types increase inequalities and several studies found that interventions could at least prevent the widening of inequalities in obesity. The majority of studies were from America and were of 6-12 year old children. Conclusions: The review has found only limited evidence although some individual and community based interventions may be effective in reducing socio-economic inequalities in obesity-related outcomes amongst children but further research is required, particularly of more complex, societal level interventions and amongst adolescents.
mmune response of lambs experimentally infected with aemonchus contortus and parenterally treated with a ombination of zinc and copper

Haemonchus contortus parasite causes high mortality rates and drastic productivity reduction besides enhancing treatment costs. It has also been demonstrating great resistance against most of the drugs currently in use. Thus, the utilization of elements that can boost the host immune response to cope with the infection has been widely studied. Some researchers have shown that the use of zinc (Zn) and copper (Cu) as nutritional supplements can help controlling the parasites. The present study evaluated the immune response of lambs experimentally infected with H. contortus and treated with Zn and Cu. Twenty-one (21) lambs were divided into three groups: CG (non-infected control group), IG (infected group – infection performed with 15,000 larvae of H. contortus/animal) and ITG (group infected and treated subcutaneously with 1.5 mg/kg of Zn and 0.45 mg/kg of Cu on days 10 and 45 post-infection [PI]). Blood samples were drawn on days 0, 14, 28, 42, 56 and 70 PI in order to determine the serum concentrations of interleukin 1 (IL-1), interleukin 4 (IL-4) and interleukin 6 (IL-6), interferon-gamma (IFN), tumor necrosis factor-alpha (TNF) and immunoglobulins (Igs) IgA, IgE, IgG and IgM. The parasitic infection was monitored by the counting of eggs per gram of feces (EPG) in the same intervals of blood sampling. At the end of the experiment, animals were euthanatized and the parasite load was quantified. In addition, the concentrations of Zn and Cu in liver were assessed. A significant increase in EPG was observed only on day 14 PI for IG and ITG (P < 0.05). Between days 14 and 42 there was a significant increase (P < 0.001) of cytokine and immunoglobulin levels in IG and ITG, when compared with the animals of CG. After day 56, the IG animals showed serum level of interleukins and immunoglobulins lower than ITG animals (P < 0.001). Regarding the liver ∗ Corresponding author at: Laboratório de Análises Clínicas Veterinárias, Departamento de Clínica de Pequenos Animais, Universidade Federal de Santa aria, Avenida Roraima 1000, 97105-900 Santa Maria, Rio Grande do Sul, Brazil. Tel. : +55 9994 9003; fax: +55 3220 8814. E-mail address: andressasalvadori@hotmail.com (A.S. Schafer). http://dx.doi. org/10.1016/j.smallrumres. 2014.10. 016 921-4488/© 2014 Elsevier B.V. All rights reserved. 184 A.S. Schafer et al. / Small Ruminant Research 123 (2015) 183–188 concentrations of Zn and Cu, the infection showed to lead a depletion of these minerals; therefore, the supplementation did not prevent this effect. The results of this study indicate that the administration of Zn and Cu was capable of enhancing the immune response in lambs experimentally infected with H. contortus. However, it did not reduce egg counts in the feces or the number of adult parasites in the abomasum.
Published as Farrell, G. (2015) Crime Prevention and Community Safety: An International Journal, 17(4); 233-248. CRIME CONCENTRATION THEORY

A range of concepts and lexicon of terms denote crime’s tendency to concentrate. The most established are repeat offending, repeat and near repeat victimization, geographical hotspots, and hot products. Complementary terms include hot dots, hot places, hot targets, super-targets, risky facilities, risky routes, crime sprees and spates. This study charts the relationships, offers a potentialy unifying concept, and examines the causal mechanisms by which crime becomes concentrat ed. It is concluded that further effort to integrate concepts and explanations relating to concentrations of crime may provide insights useful to theory, policy and practice. Suggested keywords: crime concentration; repea t victimization; hot products; hotspots; near repeats ; event linkage analysis.
A grounded theory model of the counselling referral process in primary care methadone treatment in Ireland.

In terms of the treatment of illicit drug abuse, methadone maintenance is a well researched and widely applied systematic response. The approach to primary care methadone treatment in Ireland is based on the methadone protocol. Primary care plays a central role in the delivery of methadone treatment. Beginning with a view that a system evolves within the constraints and influencing factors of its context, the aim of this thesis is to model the process that has developed by which patients on primary care methadone treatment are referred to counselling. It investigates the role primary care practitioners perceive they have in relation to managing the psychosocial aspects of the methadone patient's treatment regime. It analyzes individual medical practitioner counselling referral mechanisms to determine what common processes operate across different practitioners. It identifies the factors that influence the use of counselling on primary care methadone programmes and structures these in a cause/effect model. This research used interviews and documentary analysis to acquire grounded data. The sample consisted primarily of medical practitioners involved in the delivery of methadone programmes. Others closely involved in the implementation of drug treatment in the primary care context made up the balance of interviewees. The study used a grounded theory methodology to induce the process that was latent in the grounded data. Concepts emerging were grouped under the headings of referral factors, decision making factors and factors related to the unique positioning of primary care at the interface between medicine and society. The core finding was that, in primary care in Ireland, there is no psychological model to complement the pharmacological intervention of methadone substitution. The findings from this study offer insight into the factors at work and their impacts, in the context of the use of counselling in primary care methadone treatment. The study suggests a possible direction for further evolution of opiate abuse treatment in Ireland which would transform it from a harm reduction to a holistic patient centric paradigm.
University of Groningen Mechanisms of Hemagglutinin Targeted Influenza Virus Neutralization

Human monoclonal antibodies have been identified which neutralize broad spectra of influenza A or B viruses. Here, we dissect the mechanisms by which such antibodies interfere with infectivity. We distinguish four mechanisms that link the conserved hemagglutinin (HA) epitopes of broadly neutralizing antibodies to critical processes in the viral life cycle. HAstem binding antibodies can act intracellularly by blocking fusion between the viral and endosomal membranes and extracellularly by preventing the proteolytic activation of HA. HA-head binding antibodies prevent viral attachment and release. These insights into newly identified ways by which the human immune system can interfere with influenza virus infection may aid the development of novel universal vaccines and antivirals. Citation: Brandenburg B, Koudstaal W, Goudsmit J, Klaren V, Tang C, et al. (2013) Mechanisms of Hemagglutinin Targeted Influenza Virus Neutralization. PLoS ONE 8(12): e80034. doi:10.1371/journal.pone. 0080034 Editor: Paul Digard, University of Edinburgh, United Kingdom Received June 28, 2013; Accepted September 27, 2013; Published December 11, 2013 Copyright: 2013 Brandenburg et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This project has been funded in whole or in part with Federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN272200900060C. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding was received for this study. Competing Interests: The authors have declared that no competing interests exist. * E-mail: RFriesen@its.jnj. com
Characterization of pPCP 1 Plasmids in Yersinia pestis Strains Isolated from the Former Soviet Union

1 Emerging Pathogens Institute and Department of Molecular Genetics and Microbiology, University of Florida College of Medicine, Gainesville, FL 32610, USA 2 National Center for Disease Control and Public Health, Georgian Ministry of Health, 0177 Tbilisi, Georgia 3 Tbilisi State University, 0218 Tbilisi, Georgia 4 Naval Medical Center Annex, Rockville, MD 20852, USA 5 US Army Edgewood Chemical Biological Center, Aberdeen Proving Ground, MD 21010, USA
Fostering start-ups in the chemical sector through the joint support offered by seed funds and established companies

ing and Indexing ▀ The Journal of Business Chemistry is covered by © 2016 Institute of Business Administration Editorial ISSN 1613-9623 the following abstracting and indexing services: EBSCO Publishing (www.ebsco.com) Hamburg Institute of International Economics (online databases and print archive) German National Library of Economics Chemical Business NewsBase (CBNB) by Elsevier Engineering Information, Inc.
On Two Flash Methods for Compositional Reservoir Simulations: Table Look-up and Reduced Variables

Abstract Compositional reservoir simulations are usually used for simulating enhanced oil recovery processes involving large composition changes, such as gas injection. Phase equilibrium calculation, which is often solved in terms of flash calculation, is the most time consuming part in those simulations. Improving the flash calculation speed has therefore become one of the central issues in compositional reservoir simulations, and new algorithms for fast flash calculations are frequently proposed in the literature. Two types of fast flash methods were recently investigated at DTU CERE, namely the Compositional Space Adaptive Tabulation (CSAT) method and the reduced variables methods. This paper summarizes the major results obtained in those studies.
ASSESSMENT OF WRF-ARW FORECASTS USING WARM INITIALIZATIONS ASSESSMENT OF WRF-ARW FORECASTS USING WARM INITIALIZATIONS

The WRF-ARW model is broadly used in regional-scale numerical weather prediction (NWP) performing forecasts up to few days ahead. In order to perform regional-scale forecasts, mesoscale models are driven by global models like the ECMWF or GFS, which provide initial and boundary conditions. Mesoscale models use the initial and boundary conditions available from the global model grid and perform a downscaling of these conditions to their refined grid. In this process, an initial spin-up period is required in order for the mesoscale model to adjust its high resolution domains to the given conditions. In this study we evaluate two methods of producing quasi-balanced model states for model initialization which can reduce the spin-up period. The impact of the two initialization schemes and NWP domain configuration is also assessed. Results show short spin-up time and after the first 3-6 hours the forecast skills of 10m wind speed and 2m temperature depends only on boundaries conditions provided by the global model.
DATA MINING OF MARINE ACCIDENT/INCIDENT DATABASE FOR USE IN RISK- BASED SHIP DESIGN

Engineers are always confronted with the challenge of deriving factual and reliable information from accident/incident data and updating selected risk models for use in design in conjunction with results obtained from first-principle approaches. Remarkable achievements in computer science provide a promising forward, through the use of data mining techniques. The work presented in this paper aims to employ Bayesian Networks (BN) in developing risk models and its pertinent “mining” algorithms so that data is explored exhaustively. As a result, use of subjective judgment is reduced (or even eliminated) and the potential of objective resource/means could be fully released. Ultimately, the output is expected to provide a concrete foundation to assist decision-making.
Gradient Descent Boosting : Convergence and Algorithm

Boosting algorithm has seen many applications in recent years. An early and effective boosting algorithm was developed in Freund and Schapire (1995) called Adaboost. Since then many different boosting algorithms have been developed and gradient descent boosting algorithms might be the most popular among them. This report mainly focuses on three early works about gradient descent boosting. Mason and Frean (1999) provides some quantitative analysis of the convergence property of Anyboost it develops, while Friedman (2001) and Friedman (2002) focus more on the development of the algorithm itself, where they propose the so called greedy gradient boosting algorithm. In the final part of this report, we give some numerical study about the gradient descent boosting algorithm in Friedman (2001) in regression and classification and compare it with several other popular learning models.