39 research outputs found
Ocular syphilis: when love blinds-Epidemiological, Clinical, Biological and Evolutionary Aspects of 14 Patients-22 Eyes Cohort (2008-2015)
No full textA New Ensemble Empirical Mode Decomposition (EEMD) Denoising Method for Seismic Signals
No full textAbstractThis paper suggests a new denoising technique based on the Ensemble Empirical mode decomposition (EEMD). This technique has been compared with the discrete wavelet transform (DWT) thresholding. Firstly, both methods have been implemented on synthetic signals with diverse waveforms (‘blocks’, ‘heavy sine’, ‘Doppler’, and ‘mishmash’). Secondly, the denoising methods have been applied on real seismic traces recorded in the Algerian Sahara. It is shown that the proposed technique outperforms the DWT thresholding. In conclusion, the EEMD technique can provide a powerful tool for denoising seismic signals
Francisella tularensis endocarditis: two case reports and a literature review
No full textInternational audienc
The Role of ABCC6 Transporter in the Purinergic System: from Oncology to Regenerative Medicine
No full text2020 - 2021ABCC6 is a member of ATP-binding cassette family of transporters, a class of membrane transporters
sharing a common structural organization. Mutations in ABCC6 are associated with Pseudoxantoma
elasticum (PXE) and with a minority of cases of Generalized Arterial Calcification of Infancy (GACI), two
metabolic diseases characterized by an abnormal ectopic calcification of soft tissues. It is now recognized
that ABCC6-mediated efflux of ATP from the liver is the main source of inorganic pyrophosphate, which is a
strong anti- mineralization factor and is lacking in serum of patients with PXE or GACI. Extracellular ATP is
not only important in controlling mineralization processes, as it is also a signaling molecule and is the main
source of extracellular adenosine. Both ATP and adenosine can act as autocrine/paracrine signals,
participating to the regulation of a variety of pathophysiological processes, through specific receptors.
Purinergic signaling has a profound impact on tumor progression, affecting cancer cells proliferation,
apoptosis, invasiveness and interaction with host immune response.
Most of studies on ABCC6 focused on the identification of substrates in relation to its role in mineralization
processes, but little information is available in regard of the consequences of transport activity in cells
expressing ABCC6 protein. In this thesis we studied the effects of ABCC6 gene silencing and
pharmacological inhibition on migration and cytoskeleton rearrangement of cancer cells, focusing at first
on liver cancer cell line HepG2. Encouraged by results obtained in these cells, we tried to extend the
relevance of our findings to extra hepatic tumors as well. We investigated the effects of pharmacological
inhibition on two colorectal cancer cell lines, Caco2 and HT29, which significantly differ in the levels of
expression of ABCC6. Finally, we evaluated the feasibility of using hepatocytes- like cells (HLCs) derived
from amniotic epithelial stem cells as a substitute of primary hepatocytes to assess the potential toxic
effects arising from ABCC6 inhibition in normal cells.
Results reported here clearly show that in tumors where ABCC6 is highly expressed, it could have an
important role in controlling cancer cells migration, through the modulation of extracellular purinergic
signaling, thus representing a potential target for anti-cancer treatments aimed to reduce tumor
invasiveness. HLCs derived from pluripotent stem cells represent a promising tool not only for regenerative
medicine but also for disease modeling and toxicological studies. However, improvements in current
protocols of in vitro differentiation are required to broaden the scope of this technology to routine
toxicological studies. [edited by Author]XXXIV cicl
A binary logistic regression model to identify key aspects that enhance global hub airports status
No full textThis paper provides a tool to identify key aspects for an airport to achieve global hub status for a given airline and determines whether these factors are related to the facility's infrastructure, its region, or both. Despite the frequent use of the term hub, there is little academic consensus on its exact definition in air transport. Many define a hub based on passenger numbers rather than the concentration of flights and passengers from the main carrier. This study addresses this gap by analyzing the factors influencing the definition of a hub and the commonalities among global hubs. Data from 300 major airports, including internal variables (runways, terminals, gates and area) and external variables (economy, population, attractiveness), were collected. A Binary Logistic Regression (BLR) model identified key aspects influencing hub status, with the assistance of an Exploratory Factor Analysis (EFA) that grouped the variables into factors. The binary hub variable was defined by the main carrier's activity and the Global Airport Connectivity Index (GACI). The factor with the highest coefficient primarily involved internal variables and, to a lesser extent, global attractiveness and population. The factor with the lowest coefficient related to the region economy. The BLR correctly identified hub status in 93.3 % of cases, with 68.3 % accuracy for hub airports. Airports not correctly identified by the model mostly present a lack or underutilization of existing infrastructure. (c) 2024 The Author(s
Gacka Górka – an important place
No full textArtykuł przypomina dzieje powstania jednej z najważniejszych polskich instytucji edukacji dorosłych z okresu dwudziestolecia międzywojennego – uniwersytetu ludowego prowadzonego przez Ignacego Solarza w Gaci Przeworskiej oraz ukazuje, w jaki sposób społeczny zryw ówczesnych środowisk wiejskich doprowadził do powstania nowego budynku Wiejskiego Uniwersytetu Orkanowego na Gackiej Górce.
Wiele uwagi autor poświęca również ukształtowaniu się w zbiorowej świadomości
wizerunku powstałej tam placówki jako m i e j s c a s p o ł e c z n i e z n a c z ąc
e g o, symbolicznego dla procesów emancypowania się polskiej wsi oraz oddolnego
tworzenia się niezależnej polskiej edukacji dorosłych w XX stuleciu.
Szkic jest jednocześnie głosem w trwającej obecnie dyskusji na przyszłością budynku
po byłym uniwersytecie ludowym na Gackiej Górce, apelującym o ponowne
wykorzystanie tego m i e j s c a – s y m b o l u dla rozwoju kultury i edukacji.The article recounts the history of one of the most important Polish adult education institutions from the inter-war era – that of the folk university directed by Ignacy Solarz in Gać Przeworska and shows how a social impulse of the contemporary rural community made it possible for a new building of the Rural University named after Władysław Orkan in Gacka Górka. The author devotes a significant amount of attention to the formation in the group consciousness of an image of the facility created there as a p l a c e o f s o c i a l i m p o r t a n c e , symbolic of the processes of emancipation of the Polish rural environment and a grassroots formation of an independent adult education in the XX century. The outline is at the same time a voice in the current discussion – on the future of the building housing the former folk university in Gacka Góra, a voice calling for renewed use of this p l a c e – s y m b o l for the development of culture and education
Data_Sheet_1_Comparison of SARS-CoV-2 Variants of Concern Alpha (B.1.1.7) vs. Beta (B.1.351) in Critically Ill Patients: A Multicenter Cohort Study.docx
No full textObjectivesThe clinical outcomes of the Beta (B.1.351) variant of concern (VOC) of the SARS-CoV-2 virus remain poorly understood. In early 2021, northeastern France experienced an outbreak of Beta that was not observed elsewhere. This outbreak slightly preceded and then overlapped with a second outbreak of the better understood VOC Alpha (B.1.1.7) in the region. This situation allowed us to contemporaneously compare Alpha and Beta in terms of the characteristics, management, and outcomes of critically ill patients.MethodsA multicenter prospective cohort study was conducted on all consecutive adult patients who had laboratory confirmed SARS CoV-2 infection, underwent variant screening, and were admitted to one of four intensive care units (ICU) for acute respiratory failure between January 9th and May 15th, 2021. Primary outcome was 60-day mortality. Differences between Alpha and Beta in terms of other outcomes, patient variables, management, and vaccination characteristics were also explored by univariate analysis. The factors that associated with 60-day death in Alpha- and Beta-infected patients were examined with logistic regression analysis.ResultsIn total, 333 patients (median age, 63 years; 68% male) were enrolled. Of these, 174 and 159 had Alpha and Beta, respectively. The two groups did not differ significantly in terms of 60-day mortality (19 vs. 23%), 28-day mortality (17 vs. 20%), need for mechanical ventilation (60 vs. 61%), mechanical ventilation duration (14 vs. 15 days), other management variables, patient demographic variables, comorbidities, or clinical variables on ICU admission. The vast majority of patients were unvaccinated (94%). The remaining 18 patients had received a partial vaccine course and 2 were fully vaccinated. The vaccinated patients were equally likely to have Alpha and Beta.ConclusionsBeta did not differ from Alpha in terms of patient characteristics, management, or outcomes in critically ill patients.Trial RegistrationClinicalTrials.gov, identifier: NCT04906850.</p
Fluid balance control in critically ill patients: results from as-treated analyses of POINCARE-2 randomized trial
No full textInternational audienceBackground: Intention-to-treat analyses of POINCARE-2 trial led to inconclusive results regarding the effect of a conservative fluid balance strategy on mortality in critically ill patients. The present as-treated analysis aimed to assess the effectiveness of actual exposure to POINCARE-2 strategy on 60-day mortality in critically ill patients.Methods: POINCARE‑2 was a stepped wedge randomized controlled trial. Eligible patients were ≥ 18 years old, under mechanical ventilation and had an expected length of stay in ICU > 24 h. POINCARE-2 strategy consisted of daily weighing over 14 days, and subsequent restriction of fluid intake, administration of diuretics, and/or ultrafiltration. We computed a score of exposure to the strategy based on deviations from the strategy algorithm. We considered patients with a score ≥ 75 as exposed to the strategy. We used logistic regression adjusted for confounders (ALR) or for an instrumental variable (IVLR). We handled missing data using multiple imputations.Results A total of 1361 patients were included. Overall, 24.8% of patients in the control group and 69.4% of patients in the strategy group had a score of exposure ≥ 75. Exposure to the POINCARE-2 strategy was not associated with 60-day all-cause mortality (ALR: OR 1.2, 95% CI 0.85–1.55; IVLR: OR 1.0, 95% CI 0.76–1.33).Conclusion Actual exposure to POINCARE-2 conservative strategy was not associated with reduced mortality in critically ill patients. Trial registration POINCARE-2 trial is registered at ClinicalTrials.gov (NCT02765009). Registered 29 April 2016
Search for new particles in an extended Higgs sector with four b quarks in the final state at ?s=13 TeV
No full textA search for a massive resonance X decaying to a pair of spin-0 bosons phi that themselves decay to pairs of bottom quarks, is presented. The analysis is restricted to the mass ranges m(phi) from 25 to 100 GeV and m(X) from 1 to 3 TeV. For these mass ranges, the decay products of each phi boson are expected to merge into a single large-radius jet. Jet substructure and flavor identification techniques are used to identify these jets. The search is based on CERN LHC proton-proton collision data at root s= 13 TeV, collected with the CMS detector in 2016-2018, corresponding to an integrated luminosity of 138fb(-1). Model-specific limits, where the two new particles arise from an extended Higgs sector, are set on the product of the production cross section and branching fraction for X -> phi phi -> (b (b) over bar)(b (b) over bar) as a function of the resonances' masses, where both the X -> phi phi and phi -> b (b) over bar branching fractions are assumed to be 100%. These limits are the first of their kind on this process, ranging between 30 and 1fb at 95% confidence level for the considered mass ranges. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP(3).BMBWF (Austria); FWF (Austria); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); FAPESP (Brazil); MES (Bulgaria); BNSF (Bulgaria); CERN; CAS (China); MOST (China); NSFC (China); MINCIENCIAS (Colombia); MSES (Croatia); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERC PUT (Estonia); ERDF (Estonia); Academy of Finland (Finland); MEC (Finland); HIP (Finland); CEA (France); CNRS/IN2P3 (France); BMBF (Germany); DFG (Germany); HGF (Germany); GSRI (Greece); NKFIA (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); FCT (Portugal); JINR (Dubna); MON (Russia); ROSATOM (Russia); RAS (Russia); RFBR (Russia); NRC KI (Russia); MESTD (Serbia); MCIN/AEI (Spain); PCTI (Spain); MoSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); NSTDA (Thailand); TUBITAK (Turkey); TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE (USA); NSF (USA); Marie-Curie program (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 884104]; European Research Council (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 884104]; Horizon 2020 Grant (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 884104]; COST Action (European Union) [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Belgian Federal Science Policy Office; Fonds pour la Formation la Recherche dans l'Indus-trie et dans l'Agriculture (FRIA-Belgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); F.R.S.-FNRS (Belgium) [30820817]; FWO (Belgium) [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Deutsche Forschungsgemeinschaft (DFG) , under Germany's Excellence Strategy [EXC 2121, 390833306, 400140256-GRK2497]; Lendulet (Momentum) Program (Hungary); lanos Bolyai Research Scholarship of the Hungarian Academy of Sciences (Hungary); New National Excellence Program UNKP (Hungary); NKFIA (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]; Council of Science and Industrial Research, India; Latvian Council of Science; Ministry of Science and Higher Education (Poland); National Science Center (Poland) [2014/15/B/ST2/03998, 2015/19/B/ST2/02861]; Fundacao para a Ciencia e a Tecnologia (Portugal) [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; Ministry of Science and Higher Education (Russia) [0723-2020-0041, FSWW-2020-0008]; ERDF a way of making Europe (Spain); Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu (Spain) [MDM-2017-0765]; Programa Severo Ochoa del Principado de Asturias (Spain); Stavros Niarchos Foundation (Greece); Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand); Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA); STFC [ST/N003985/1] Funding Source: UKRIWe congratulate our colleagues in the CERN accelerator de-partments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS ef-fort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: BMBWF and FWF (Austria) ; FNRS and FWO (Belgium) ; CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil) ; MES and BNSF (Bulgaria) ; CERN; CAS, MOST, and NSFC (China) ; MINCIENCIAS (Colombia) ; MSES and CSF (Croatia) ; RIF (Cyprus) ; SENESCYT (Ecuador) ; MoER, ERC PUT and ERDF (Estonia) ; Academy of Finland, MEC, and HIP (Finland) ; CEA and CNRS/IN2P3 (France) ; BMBF, DFG, and HGF (Germany) ; GSRI (Greece) ; NK-FIA (Hungary) ; DAE and DST (India) ; IPM (Iran) ; SFI (Ireland) ; INFN (Italy) ; MSIP and NRF (Republic of Korea) ; MES (Latvia) ; LAS (Lithuania) ; MOE and UM (Malaysia) ; BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico) ; MOS (Montenegro) ; MBIE (New Zealand) ; PAEC (Pakistan) ; MSHE and NSC (Poland) ; FCT (Portugal) ; JINR (Dubna) ; MON, ROSATOM, RAS, RFBR, and NRC KI (Russia) ; MESTD (Serbia) ; MCIN/AEI and PCTI (Spain) ; MoSTR (Sri Lanka) ; Swiss Funding Agencies (Switzerland) ; MST (Taipei) ; ThEPCenter, IPST, STAR, and NSTDA (Thailand) ; TUBITAK and TAEK (Turkey) ; NASU (Ukraine) ; STFC (United Kingdom) ; DOE and NSF (USA) .Individuals have received support from the Marie-Curie pro-gram and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union) ; the Lev-entis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Of-fice; the Fonds pour la Formation ? la Recherche dans l?Indus-trie et dans l?Agriculture (FRIA-Belgium) ; the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium) ; the F.R.S.-FNRS and FWO (Belgium) under the ?Excellence of Sci-ence - EOS? - be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; The Ministry of Education, Youth and Sports (MEYS) of the Czech Re-public; the Deutsche Forschungsgemeinschaft (DFG) , under Ger-many?s Excellence Strategy - EXC 2121 ?Quantum Universe? - 390833306, and under project number 400140256-GRK2497; the Lend?let (?Momentum?) Program and the l?nos Bolyai Re-search Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ?NKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and129058 (Hungary) ; the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland) ; the Fundac? ?o para a Ci?ncia e a Tecnologia, grant CEECIND/01334/2018 (Portugal) ; the National Priorities Research Program by Qatar Na-tional Research Fund; the Ministry of Science and Higher Edu-cation, projects no. 0723-2020-0041 and no. FSWW-2020-0008 (Russia) ; MCIN/AEI/10.; 13039/501100011033, ERDF ?a way of mak-ing Europe?, and the Programa Estatal de Fomento de la Investi-gaci?n Cient?fica y T?cnica de Excelencia Mar?a de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain) ; the Stavros Niarchos Foundation (Greece) ; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chula-longkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand) ; the Kavli Foun-dation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foun-dation (USA)
