Tuning PYTHIA 8.1: the Monash 2013 tune Skands, P.; Carrazza, S.; Rojo, J.
European physical journal. C, Particles and fields,
08/2014, Letnik:
74, Številka:
8
Journal Article
Recenzirano
Odprti dostop
We present an updated set of parameters for the PYTHIA 8 event generator. We reevaluate the constraints imposed by LEP and SLD on hadronization, in particular with regard to heavy-quark fragmentation ...and strangeness production. For hadron collisions, we combine the updated fragmentation parameters with the new NNPDF2.3 LO PDF set. We use minimum-bias, Drell–Yan, and underlying-event data from the LHC to constrain the initial-state-radiation and multi-parton-interaction parameters, combined with data from SPS and the Tevatron to constrain the energy scaling. Several distributions show significant improvements with respect to the current defaults, for both
e
e
and
p
p
collisions, though we emphasize that interesting discrepancies remain in particular for strange particles and baryons. The updated parameters are available as an option starting from PYTHIA 8.185, by setting Tune:ee = 7 and Tune:pp = 14.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Access to employment plays a critical role in the recovery and functioning of people with schizophrenia. We have investigated the effectiveness of treatments to enhance employment outcomes for people ...with schizophrenia and evaluated the potential moderators of these outcomes. A literature search was conducted in CINAHL, Cochrane Databases, MEDLINE, ProQuest XML, PsycINFO, Scopus, and Web of Science. Grey literature databases, references lists of the retrieved articles and specialized journals in the field were also inspected. Job placement, job tenure and wages earned were tested. Risk ratios were extracted for job placement and standardized mean differences were calculated for job tenure and wages earned. Twenty-five randomized controlled trials published between 1986 and December 2015 were analyzed. Engaging in a vocational intervention increases the likelihood of obtaining a competitive job (risk ratio (RR) = 2.31, 95% confidence interval (CI): 1.85-2.88) and has a positive impact on hours worked in any job (standardized mean difference (SMD) = 0.42, 95% CI: 0.16-0.68). There was no evidence of intervention efficacy with regard to wages earned from competitive employment. Participation in rehabilitative vocational treatment is not sufficient to ensure work participation for people with schizophrenia. Comprehensive treatments are necessary to address functional deficits that hinder labor stability and job performance for people with schizophrenia. Int J Occup Med Environ Health 2017;30(3):345-366.
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DOBA, IZUM, KILJ, NUK, ODKLJ, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Many countries today are undergoing a paradigm shift in mental health policies towards a recovery-oriented and rights-based approach. From this perspective, self-determination and self-management are ...fundamental factors for recovery. Despite this shift, there is still a lack of evidence on the effectiveness of training programmes aimed at promoting self-determination and self-management in recovery processes implemented in southern European or Spanish-speaking countries. The aim of this paper is to present a study protocol that evaluates the effectiveness of a 12-session recovery workshop implemented in community mental health services in Catalonia (Spain).
This is a 12-week follow-up multi-centre non-randomized controlled trial design. At least 160 users will be recruited from 13 Community Rehabilitation Services (CRS) in Catalonia. Eligible participants are adult (≥ 18 years old) users of a CRS, who sign a written consent to participate. The experimental group participates in a recovery workshop, in which people learn to develop and implement their own plan of personal recovery, which includes a Wellness Toolbox, a Maintenance Toolkit, a Personal Growth Plan, a Mirror of Relapses, a Crisis Plan, and a Learning Agenda. The control group participates in the usual activities of the CRS. Data is collected using a questionnaire of sociodemographic characteristics, personal recovery, empowerment, hope and perceived social support. The users' measurements are taken at the baseline and one week after the end of the workshop. The primary outcome measures include the Self-Identified Stage of Recovery and the Maryland Assessment of Recovery in Serious Mental Illness Scale (short version). The secondary outcome measures include the Netherlands Empowerment List, Dispositional Hope Scale, and Multidimensional Scale of Perceived Social Support. Descriptive statistics for characterizing the sample size will be performed. Multivariate analyses for repeated measures designs will be used to evaluate the primary and secondary outcomes. Between-group and within-subject comparisons will be conducted.
The results of the study will provide information on the usefulness of recovery workshops in a Mediterranean cultural context. Additionally, if this workshop is effective, it will be proposed for inclusion within the portfolio of community mental health services in Catalonia.
ISRCTN11695542 (Registration date: 5 July 2022).
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
We present NNFF1.1h, a new determination of unidentified charged-hadron fragmentation functions (FFs) and their uncertainties. Experimental measurements of transverse-momentum distributions for ...charged-hadron production in proton-(anti)proton collisions at the Tevatron and at the LHC are used to constrain a set of FFs originally determined from electron–positron annihilation data. Our analysis is performed at next-to-leading order in perturbative quantum chromodynamics. We find that the hadron-collider data is consistent with the electron–positron data and that it significantly constrains the gluon FF. We verify the reliability of our results upon our choice of the kinematic cut in the hadron transverse momentum applied to the hadron-collider data and their consistency with NNFF1.0, our previous determination of the FFs of charged pions, kaons, and protons/antiprotons.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Attempts to polymerize trinitrobenzene derivatives (TNB) have been fruitless so far. Accordingly, polymers containing TNB have not been exploited in spite of their envisaged potential applications. ...Here, we describe two ways for preparing polymers with TNB moieties thus overcoming the previously reported polymerization impairments. We also report on the exploitation of the materials, both obtained as tractable transparent films and coated fibers, as smart labels for the visual detection of amine vapors. More precisely, amines in the atmosphere surrounding the sensory materials diffuse into them reacting with the TNB motifs forming highly colored Meisenheimer complexes, giving rise to development of color and to the naked eye sensing phenomenon. This is the case of highly volatile amines, such as trimethylamine, produced in food spoilage, specifically in the deterioration of fish or meat, for which the color development of the smart labels can be used as a visual test for food freshness.
Is this fish fresh? Polymers containing chemically anchored trinitrobenzene motifs are exploited as colorimetric sensors for biogenic amine vapors. Tractable transparent films and coated fibers as chromogenic smart labels are reported. Therefore, the color change of these materials upon interaction/detection of volatile amines produced in food spoilage, specifically in the deterioration of fish or meat, can be used as a visual test for food freshness.
BACKGROUNDSpain has been one of the countries most affected by the COVID-19 pandemic. OBJECTIVETo create a registry of patients with COVID-19 hospitalized in Spain, in order to improve our knowledge ...of the clinical, diagnostic, therapeutic, and prognostic aspects of this disease. METHODSA multicentre retrospective cohort study, including consecutive patients hospitalized with confirmed COVID-19 throughout Spain. Epidemiological and clinical data, additional tests at admission and at seven days, treatments administered, and progress at 30 days of hospitalization were collected from electronic medical records. RESULTSUp to June 30th 2020, 15,111 patients from 150 hospitals were included. Their median age was 69.4 years (range: 18-102 years) and 57.2% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.9%, 39.7%, and 19.4%, respectively. The most frequent symptoms were fever (84.2%) and cough (73.5%). High values of ferritin (73.5%), lactate dehydrogenase (73.9%), and D-dimer (63.8%), as well as lymphopenia (52.8%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.6%) and lopinavir/ritonavir (61.4%); 33.1% developed respiratory distress. Overall mortality rate was 21.0%, with a marked increase with age (50-59 years: 4.7%, 60-69 years: 10.5%, 70-79 years: 26.9%, ≥80 years: 46.0%). CONCLUSIONSThe SEMI-COVID-19 Network provides data on the clinical characteristics of patients with COVID-19 hospitalized in Spain. Patients with COVID-19 hospitalized in Spain are mostly severe cases, as one in three patients developed respiratory distress and one in five patients died. These findings confirm a close relationship between advanced age and mortality.
Support vector machines in engineering: an overview Salcedo-Sanz, S.; Rojo-Álvarez, J. L.; Martínez-Ramón, M. ...
Wiley interdisciplinary reviews. Data mining and knowledge discovery,
May/June 2014, Letnik:
4, Številka:
3
Journal Article
Recenzirano
This paper provides an overview of the support vector machine (SVM) methodology and its applicability to real‐world engineering problems. Specifically, the aim of this study is to review the current ...state of the SVM technique, and to show some of its latest successful results in real‐world problems present in different engineering fields. The paper starts by reviewing the main basic concepts of SVMs and kernel methods. Kernel theory, SVMs, support vector regression (SVR), and SVM in signal processing and hybridization of SVMs with meta‐heuristics are fully described in the first part of this paper. The adoption of SVMs in engineering is nowadays a fact. As we illustrate in this paper, SVMs can handle high‐dimensional, heterogeneous and scarcely labeled datasets very efficiently, and it can be also successfully tailored to particular applications. The second part of this review is devoted to different case studies in engineering problems, where the application of the SVM methodology has led to excellent results. First, we discuss the application of SVR algorithms in two renewable energy problems: the wind speed prediction from measurements in neighbor stations and the wind speed reconstruction using synoptic‐pressure data. The application of SVMs in noninvasive cardiac indices estimation is described next, and results obtained there are presented. The application of SVMs in problems of functional magnetic resonance imaging (fMRI) data processing is further discussed in the paper: brain decoding and mental disorder characterization. The following application deals with antenna array processing, namely SVMs for spatial nonlinear beamforming, and the SVM application in a problem of arrival angle detection. Finally, the application of SVMs to remote sensing image classification and target detection problems closes this review. WIREs Data Mining Knowl Discov 2014, 4:234–267. doi: 10.1002/widm.1125
This article is categorized under:
Technologies > Computational Intelligence
Technologies > Machine Learning
Traffic signs are an essential part of any circulation system, and failure detection by the driver may significantly increase the accident risk. Currently, automatic traffic sign detection systems ...still have some performance limitations, specially for achromatic signs and variable lighting conditions. In this work, we propose an automatic traffic-sign detection method capable of detecting both chromatic and achromatic signs, while taking into account rotations, scale changes, shifts, partial deformations, and shadows. The proposed system is divided into three stages: (1) segmentation of chromatic and achromatic scene elements using L⁎a⁎b⁎ and HSI spaces, where two machine learning techniques (k-Nearest Neighbors and Support Vector Machines) are benchmarked; (2) post-processing in order to discard non-interest regions, to connect fragmented signs, and to separate signs located at the same post; and (3) sign-shape classification by using Fourier Descriptors, which yield significant advantage in comparison to other contour-based methods, and subsequent shape recognition with machine learning techniques. Experiments with two databases of real-world images captured with different cameras yielded a sign detection rate of about 97% with a false alarm rate between 3% and 4%, depending on the database. Our method can be readily used for maintenance, inventory, or driver support system applications.
•We propose a complete procedure for traffic sign detection and shape classification.•It is robust against traffic sign rotations, translations, and scale variations.•It provides a good performance in a variety of circumstances (non-uniform lighting).•Our procedure yielded a good performance in experiments with real-world images.
We present NNFF1.1h, a new determination of unidentified charged-hadron fragmentation functions (FFs) and their uncertainties. Experimental measurements of transverse-momentum distributions for ...charged-hadron production in proton-(anti)proton collisions at the Tevatron and at the LHC are used to constrain a set of FFs originally determined from electron–positron annihilation data. Our analysis is performed at next-to-leading order in perturbative quantum chromodynamics. We find that the hadron-collider data is consistent with the electron–positron data and that it significantly constrains the gluon FF. We verify the reliability of our results upon our choice of the kinematic cut in the hadron transverse momentum applied to the hadron-collider data and their consistency with NNFF1.0, our previous determination of the FFs of charged pions, kaons, and protons/antiprotons.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Betula pollen is frequently found in the atmosphere of central and northern Europe. Betula pollen are health relevant as they cause severe allergic reactions in the population. We developed models of ...thermal requirements to predict start, peak and end dates of the Betula main pollen season for Bavaria (Germany). Betula pollen data of one season from 19 locations were used to train the models. Estimated dates were compared with observed dates, and the errors were spatially represented. External validation was carried out with time series datasets of 3 different locations (36years in total).
The temperature requirements to detonate the main pollen season proved non-linear. For the start date model (error of 8,75days during external validation), daily mean temperatures above a threshold of 10°C from 28th of February onwards were the most relevant. The peak model (error of 3.58days) takes into account mean daily temperatures accumulated since the first date of the main pollen season in which the daily average temperature exceeded 11°C. The end model (error of 3.75days) takes into account all temperatures accumulated since the start of the main pollen season.
These models perform predictions that enable the allergic population to better manage their disease. With the established relationship between temperatures and pollen season dates, changes in the phenological behaviour of Betula species due to climate change can be also estimated in future studies by taking into account the different climate scenarios proposed by previous climate change studies.
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•Temperatures above 10°C from February induce Betula flowering.•Photoperiod is the main factor affecting the start of the forcing period.•The peak and end of the pollen season are set by a heat accumulation from the start.
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