Augmented Reality as a Tool for Promoting the Tourist Value of the Geological Heritage Around Natural Filming Locations: a Case Study in “Sad Hill” (The Good, the Bad and the Ugly Movie, Burgos, Spain)

This research was funded by projects Junta Castilla y Leon SA044G18, University of Salamanca USAL2017/46AC01, and Spanish Ministry of Economy and Competitiveness CGL2015-69919-R.Some natural scenes of films shooting contain landscapes and other elements that are part of the geological heritage, representing an added value for the growing cultural tourism that visits them. In the SE of Burgos province (Spain), near some filming locations of the classic western movie directed by Sergio Leone (1966), “The Good, the Bad and the Ugly”, we have assessed the Geological Heritage of 6 selected sites: (1) Dinosaur tracks; (2) Paleo-river structures preserved; (3) Fossil trees; (4) Sad Hill; (5) Marine Cretaceous fossils; and (6) La Yecla Gorge. Their tourist-cultural, scientific and educational values range from 775 points in La Yecla Gorge site to 450 in Marine Cretaceous fossils site. A virtual tour is presented implementing Augmented Reality on Google Earth with detailed but easily understanding descriptive information of each site, suggested activities for tourism and a free geoapp. The proposed technologies can enhance geotourism, favouring sustainable development and fostering attitudes and skills related to the tourist’s respect for nature.publishersversionpublishe

Telephone Monitoring of Isolated Patients With Suspected COVID-19 Disease in Primary Care: Prospective Cohort Study.

Objective: Isolation of suspected cases of COVID-19 has been shown effective in reducing disease transmission and monitoring these patients from primary care allows to detect complications. The objective of this study is to determine the evolution of a cohort of patients with suspected COVID-19, and to analyse the factors associated with hospital admissions due to their unfavourable evolution. Methods: Prospective cohort study. A cohort of 166 patients with COVID-19 symptoms was selected and was followed-up by telephone calls during 14 days of home isolation. Results: By the end of the follow-up, a hospital admission had taken place in 14.7% of patients. The mean survival time until admission among diabetics was 12.6, 10.9 days for chronic kidney diseases, and 9.3 days in immunocompromised patients. Immunosuppression was a risk factor for admission over 50 years of age. Conclusion: Hospital admissions for suspected cases of COVID-19 are associated with diabetes, chronic kidney disease, and immunosuppression. Telephone monitoring of these patients from primary care allows for home isolation and early detection of disease complications.post-print774 K

Telephone Monitoring of Isolated Patients With Suspected COVID-19 Disease in Primary Care: Prospective Cohort Study

Objective: Isolation of suspected cases of COVID-19 has been shown effective in reducing disease transmission and monitoring these patients from primary care allows to detect complications. The objective of this study is to determine the evolution of a cohort of patients with suspected COVID-19, and to analyse the factors associated with hospital admissions due to their unfavourable evolution. Methods: Prospective cohort study. A cohort of 166 patients with COVID-19 symptoms was selected and was followed-up by telephone calls during 14 days of home isolation. Results: By the end of the follow-up, a hospital admission had taken place in 14.7% of patients. The mean survival time until admission among diabetics was 12.6, 10.9 days for chronic kidney diseases, and 9.3 days in immunocompromised patients. Immunosuppression was a risk factor for admission over 50 years of age. Conclusion: Hospital admissions for suspected cases of COVID-19 are associated with diabetes, chronic kidney disease, and immunosuppression. Telephone monitoring of these patients from primary care allows for home isolation and early detection of disease complications

Evolution of a Cohort of COVID-19 Infection Suspects Followed-Up from Primary Health Care

Diagnosis and home follow-up of patients affected by COVID-19 is being approached by primary health care professionals through telephone consultations. This modality of teleconsultation allows one to follow the evolution of patients and attend early to possible complications of the disease. The purpose of the study was to analyze the evolution of a cohort of patients with suspected SARS-CoV-2 disease followed by primary care professionals and to determine the factors that are associated with hospital admission. A prospective cohort study was carried out on 166 patients selected by consecutive sampling that showed symptoms compatible with COVID-19. The follow-up was approached via telephone for 14 days analyzing hospitalization and comorbidities of the patients. There were 75% of the hospitalized patients that were male (p = 0.002), and 70.8% presented comorbidities (p < 0.001). In patients with diabetes, the risk of hospitalization was 4.6-times larger, in hypertension patients it was 3.3-times, those suffering from renal insufficiency 3.8-times, and immunosuppressed patients 4.8-times (IC 95%: 1.9–11.7). In 86.7% of the cases, clinical deterioration was diagnosed in the first seven days of the infection, and 72% of healing was reached from day seven to fourteen. Monitoring from primary care of patients with COVID-19 allows early diagnosis of clinical deterioration and detection of comorbidities associated with the risk of poor evolution and hospital admission

Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk.

Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex trait with a polygenic component that is mainly unidentified. We propose that levels of intermediate molecular phenotypes (IMPs) in the myocardium associated with histopathological damage could explain CDA susceptibility, so variants of genes encoding these IMPs could identify patients susceptible to this complication. Thus, a genetically heterogeneous cohort of mice (n = 165) generated by backcrossing were treated with doxorubicin and docetaxel. We quantified heart fibrosis using an Ariol slide scanner and intramyocardial levels of IMPs using multiplex bead arrays and QPCR. We identified quantitative trait loci linked to IMPs (ipQTLs) and cdaQTLs via linkage analysis. In three cancer patient cohorts, CDA was quantified using echocardiography or Cardiac Magnetic Resonance. CDA behaves as a complex trait in the mouse cohort. IMP levels in the myocardium were associated with CDA. ipQTLs integrated into genetic models with cdaQTLs account for more CDA phenotypic variation than that explained by cda-QTLs alone. Allelic forms of genes encoding IMPs associated with CDA in mice, including AKT1, MAPK14, MAPK8, STAT3, CAS3, and TP53, are genetic determinants of CDA in patients. Two genetic risk scores for pediatric patients (n = 71) and women with breast cancer (n = 420) were generated using machine-learning Least Absolute Shrinkage and Selection Operator (LASSO) regression. Thus, IMPs associated with heart damage identify genetic markers of CDA risk, thereby allowing more personalized patient management.J.P.L.’s lab is sponsored by Grant PID2020-118527RB-I00 funded by MCIN/AEI/10.13039/ 501100011039; Grant PDC2021-121735-I00 funded by MCIN/AEI/10.13039/501100011039 and by the “European Union Next Generation EU/PRTR”, the Regional Government of Castile and León (CSI144P20). J.P.L. and P.L.S. are supported by the Carlos III Health Institute (PIE14/00066). AGN laboratory and human patients’ studies are supported by an ISCIII project grant (PI18/01242). The Human Genotyping unit is a member of CeGen, PRB3, and is supported by grant PT17/0019 of the PE I + D + i 2013–2016, funded by ISCIII and ERDF. SCLl is supported by MINECO/FEDER research grants (RTI2018-094130-B-100). CH was supported by the Department of Defense (DoD) BCRP, No. BC190820; and the National Cancer Institute (NCI) at the National Institutes of Health (NIH), No. R01CA184476. Lawrence Berkeley National Laboratory (LBNL) is a multi-program national laboratory operated by the University of California for the DOE under contract DE AC02-05CH11231. The Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0023 of the PE I + D +i, 2017–2020, funded by ISCIII and FEDER. RCC is funded by fellowships from the Spanish Regional Government of Castile and León. NGS is a recipient of an FPU fellowship (MINECO/FEDER). hiPSC-CM studies were funded in part by the “la Caixa” Banking Foundation under the project code HR18-00304 and a Severo Ochoa CNIC Intramural Project (Exp. 12-2016 IGP) to J.J.S

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe

Measurement of prompt open-charm production cross sections in proton-proton collisions at root s=13 TeV

The production cross sections for prompt open-charm mesons in proton-proton collisions at a center-of-mass energy of 13TeV are reported. The measurement is performed using a data sample collected by the CMS experiment corresponding to an integrated luminosity of 29 nb(-1). The differential production cross sections of the D*(+/-), D-+/-, and D-0 ((D) over bar (0)) mesons are presented in ranges of transverse momentum and pseudorapidity 4 < p(T) < 100 GeV and vertical bar eta vertical bar < 2.1, respectively. The results are compared to several theoretical calculations and to previous measurements.Peer reviewe

Development and validation of HERWIG 7 tunes from CMS underlying-event measurements

This paper presents new sets of parameters (“tunes”) for the underlying-event model of the HERWIG7 event generator. These parameters control the description of multiple-parton interactions (MPI) and colour reconnection in HERWIG7, and are obtained from a fit to minimum-bias data collected by the CMS experiment at s=0.9, 7, and 13Te. The tunes are based on the NNPDF 3.1 next-to-next-to-leading-order parton distribution function (PDF) set for the parton shower, and either a leading-order or next-to-next-to-leading-order PDF set for the simulation of MPI and the beam remnants. Predictions utilizing the tunes are produced for event shape observables in electron-positron collisions, and for minimum-bias, inclusive jet, top quark pair, and Z and W boson events in proton-proton collisions, and are compared with data. Each of the new tunes describes the data at a reasonable level, and the tunes using a leading-order PDF for the simulation of MPI provide the best description of the dat

Measurement of the top quark Yukawa coupling from t(t)over-bar kinematic distributions in the dilepton final state in proton-proton collisions at root s=13 TeV

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Probing effective field theory operators in the associated production of top quarks with a Z boson in multilepton final states at root s=13 TeV

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