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Proficiency score as a predictor of early trifecta achievement during the learning curve of robot-assisted radical prostatectomy for high-risk prostate cancer:Results of a multicentric series

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Current Urology 2024年第2期18卷 110-114页

作者： Umberto Anceschi Rocco Simone Flammia Antonio Tufano Michele Morelli Antonio Galfano Lorenzo Giuseppe Luciani leonardo misuraca Paolo Dell’Oglio Gabriele Tuderti Aldo Brassetti Maria Consiglia Ferriero Alfredo Maria Bove Riccardo Mastroianni Francesco Prata Isabella Sperduti Giovanni Petralia SilviaSecco Ettore Di Trapani DanieleMattevi Tommaso Cai Aldo Massimo Bocciardi Giuseppe Simone Department of Urology IRCCS“Regina Elena”National Cancer InstituteRomeItaly Urologic Clinic Department of Maternal-Child and Urologic SciencesSapienza University of RomeItaly Ospedale Niguarda Ca’Granda Department of UrologyMilanItaly Department of Urology APSS Santa Chiara Regional HospitalTrentoItaly Department of Biostatistical Unit IRCCS Regina Elena National Cancer InstituteRomeItaly

Background:Recently,an innovative tool called“proficiency score”was introduced to assess the learning curve for robot-assisted radical prostatectomy(RARP).However,the initial study only focused on patients with low-risk prostate cancer forwhompelvic lymph node dissection(PLND)was not *** address this issue,we aimed to validate proficiency scores of a contemporarymulticenter cohort of patients with high-risk prostate cancer treated with RARP plus extended PLND by trainee *** andmethods:Between 2010 and 2020,4 Italian institutional prostate-cancer datasets weremerged and queried for“RARP”and“high-risk prostate cancer.”High-risk prostate cancer was defined according to the most recent European Association of Urology guidelines as follows:prostate-specific antigen>20 ng/mL,International Society ofUrological Pathology≥4,and/or clinical stage(cT)≥2c on preoperative *** selected cohort(n=144)included clinical cases performed by trainee surgeons(n=4)after completing their RARP learning curve(50 procedures for low-risk prostate cancer).The outcome of interest,the proficiency score,was defined as the coexistence of all the following criteria:a comparable operation time to the interquartile range of the mentor surgeon at each center,absence of any significant perioperative complications Clavien-Dindo Grade 3–5,no perioperative blood transfusions,and negative surgical margins.A logistic binary regression model was built to identify the predictors of 1-year trifecta achievement in the trainee *** all statistical analyses,a 2-sided p<0.05 was considered ***:A proficiency score was achieved in 42.3%*** univariable level,proficiency score was associated with 1-year trifecta achievement(odds ratio,8.77;95%confidence interval,2.42–31.7;p=0.001).After multivariable adjustments for age,nerve-sparing,and surgical technique,the proficiency score independently predicted 1-year trifecta achievement(odds ratio,9.58;95%confidence i

关键词： Trifecta Learning curve Robot-assisted radical prostatectomy High-risk prostate cancer

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Domenico Losurdo on Stalin:A Dialectical and Comparative Perspective on a Controversial Legacy

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Fudan Journal of the Humanities and Social Sciences 2024年第3期17卷 399-416页

作者： leonardo Pegoraro Melbourne Australia

This article explores the insights of the Italian Marxist philosopher Domenico Losurdo on Stalin,with a focus on his controversial work:Stalin:History and Cri-tique of a Black *** sheds light on the metamorphosis of Stalin's image from a revered leader into a human monster”and challenges the equation of Stalin with Hitler(the“twin monsters theory”).He advocates for a balanced perspective that refutes the veneration-demonisation dichotomy and offers original criticism on various facets of the“black legend”:Stalin's alleged self-cult of personality;the common juxtaposition of Soviet Gulags with Nazi camps;and accusations of geno-cide against Ukrainians(known as the Holodomor)and *** article also highlights Losurdo's methodology,consisting of a comprehensive comparative approach that calls into question the liberal tradition to reveal parallels between its darker aspects and *** demonstrates how the twin monsters theory eventually serves to bolster liberalism's claim of moral ***,his work extends beyond Stalin to provide a wider assessment and criticism of most of the contemporary historiography's themes and approaches,revealing how history is often manipulated for political reasons.

关键词： Stalin Losurdo Communism Nazism Liberalism

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Assessment of compressive strength of jet grouting by machine learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 102-111页

作者： Esteban Diaz Edgar leonardo Salamanca-Medina Roberto Tomas Departamento de Ingeniería Civil Escuela Politécnica SuperiorUniversidad de AlicanteP.O.Box 99E-03080AlicanteSpain

Jet grouting is one of the most popular soil improvement techniques,but its design usually involves great uncertainties that can lead to economic cost overruns in construction *** high dispersion in the properties of the improved material leads to designers assuming a conservative,arbitrary and unjustified strength,which is even sometimes subjected to the results of the test *** present paper presents an approach for prediction of the uniaxial compressive strength(UCS)of jet grouting columns based on the analysis of several machine learning algorithms on a database of 854 results mainly collected from different research *** selected machine learning model(extremely randomized trees)relates the soil type and various parameters of the technique to the value of the compressive *** the complex mechanism that surrounds the jet grouting process,evidenced by the high dispersion and low correlation of the variables studied,the trained model allows to optimally predict the values of compressive strength with a significant improvement with respect to the existing ***,this work proposes for the first time a reliable and easily applicable approach for estimation of the compressive strength of jet grouting columns.

关键词： Jet grouting Ground improvement Compressive strength Machine learning

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Is tuberous sclerosis complex-associated autism a preventable andtreatabledisorder?

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World Journal of Pediatrics 2024年第1期20卷 40-53页

作者： Paolo Curatolo Mirte Scheper leonardo Emberti Gialloreti Nicola Specchio Eleonora Aronica Child Neurology and Psychiatry Unit Systems Medicine DepartmentTor Vergata UniversityRomeItaly Department of Neuropathology Amsterdam NeuroscienceAmsterdam UMC Location University of AmsterdamAmsterdamTheNetherlands Department of Biomedicine and Prevention University of Rome Tor VergataVia Montpellier 100133 RomeItaly Clinical and Experimental Neurology Bambino Gesù Children's HospitalIRCCSFull Member of European ReferenceNetworkEpiCAREPiazza S.Onofrio400165 RomeItaly Stichting Epilepsie Instellingen Nederland(SEIN) HeemstedeAmsterdamThe Netherlands

Background Tuberous sclerosis complex(TSC)is a genetic disorder caused by inactivating mutations in the TSCl and TSC2 genes,causing overactivation of the mechanistic(previously referred to as mammalian)target of rapamycin(mTOR)signaling pathway in fetal *** mTOR pathway plays a crucial role in several brain processes leading to TSC-related epilepsy,intellectual disability,and autism spectrum disorder(ASD).Pre-natal or early post-natal diagnosis of TSC is now possible in a growing number of pre-symptomatic *** sources We searched PubMed for peer-reviewed publications published between January 2010 and April 2023 with the terms“tuberous sclerosis",“autism",or“autism spectrum disorder""animal models",“preclinical studies",“neurobiology",and“treatment".Results Prospective studies have highlighted that developmental trajectories in TSC infants who were later diagnosed with ASD already show motor,visual and social communication skills in the first year of life *** genetic,cellular,electroencephalography and magnetic resonance imaging biomarkers can identify pre-symptomatic TSC infants at high risk for having autism and *** Preventing epilepsy or improving therapy for seizures associated with prompt and tailored treatment strategies for autism in a sensitive developmental time window could have the potential to mitigate autistic symptoms in infants with TSC.

关键词： Animal model-Autism spectrum disorders Developmental and epileptic encephalopathy Mechanisms mTOR Risk Tuberos sclerosis complex

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Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification

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Petroleum Science 2024年第2期21卷 918-935页

作者： Fábio Júnior Damasceno Fernandes leonardo Teixeira Antonio Fernando Menezes Freire Wagner Moreira Lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsFederal Fluminense UniversityNiter oiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20231-030Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) Niter oiRJ24210-346Brazil

We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.

关键词： Stochastic inversion Bayesian classification Porosity modeling Carbonate reservoirs Igneous rocks

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Unravelling the ion transport and the interphase properties of a mixed olivine cathode for Na-ion battery

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Journal of Energy Chemistry 2024年第9期96卷 300-317页

作者： Luca Minnetti leonardo Sbrascini Antunes Staffolani Vittorio Marangon Francesco Nobili Jusef Hassoun School of Sciences and Technologies–Chemistry Division University of CamerinoVia Madonna delle Carceri ChIP62032 CamerinoItaly Current affiliation:University of Bologna Department of Chemistry“Giacomo Ciamician”Via Francesco Selmi 240126 BolognaItaly Graphene Labs Istituto Italiano di Tecnologiavia Morego 30Genoa 16163Italy Department of Chemical Pharmaceutical and Agricultural SciencesUniversity of FerraraVia Fossato di Mortara 1744121 FerraraItaly GISEL−Centro di Riferimento Nazionale per i Sistemi di Accumulo Elettrochimico di Energia INSTMFirenze 50121Italy National Interuniversity Consortium of Materials Science and Technology(INSTM)University of Ferrara Research Unit University of FerraraVia Fossato di Mortara1744121 FerraraItaly

The replacement of Li by Na in an analogue battery to the commercial Li-ion one appears a sustainable strategy to overcome the several concerns triggered by the increased demand for the electrochemical energy ***,the apparently simple change of the alkali metal represents a challenging step which requires notable and dedicated ***,we investigate herein the features of a NaFe_(0.6)Mn_(0.4)PO_(4)(NFMP)cathode with triphylite structure achieved from the conversion of a LiFe_(0.6)Mn_(0.4)PO_(4)(LFMP)olivine for application in Na-ion *** work initially characterizes the structure,morphology and performances in sodium cell of NFMP,achieving a maximum capacity exceeding 100 mAh g^(−1)at a temperature of 55℃,adequate rate capability,and suitable retention confirmed by ex-situ ***,the study compares in parallel key parameters of the NFMP and LFMP such as Na^(+)/Li^(+)ions diffusion,interfacial characteristics,and reaction mechanism in Na/Li cells using various electrochemical *** data reveal that relatively limited modifications of NFMP chemistry,structure and morphology compared to LFMP greatly impact the reaction mechanism,kinetics and electrochemical *** changes are ascribed to the different physical and chemical features of the two compounds,the slower mobility of Na^(+)with respect to Li^(+),and a more resistive electrode/electrolyte interphase of sodium compared with ***,the study reveals analogue trends of the charge transfer resistance and the ion diffusion coefficient in NFMP and LFMP during the electrochemical process in ***,the NFMP achieved herein is suggested as a possible candidate for application in a low-cost,efficient,and environmentally friendly Na-ion battery.

关键词： NaFe_(0.6)Mn_(0.4)PO_(4)NFMP Olivine Na-ion lon transport Interphase

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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： leonardo Goliatt C.M.Saporetti L.C.Oliveira E.Pereira Department of Computational and Applied Mechanics Federal University of Juiz de Fora Department of Computational Modeling Polytechnic Institute Rio de Janeiro State University Petrobras Department of Stratigraphy and Paleontology Rio de Janeiro State University

Rock samples' TOC content is the best indicator of the organic matter in source rocks. The origin rock samples' analysis is used to calculate it manually by specialists. This method requires time and resources because it relies on samples from many well intervals in source rocks. Therefore, research has been done to aid this effort. Machine learning algorithms can estimate total organic carbon instead of well logs and stratigraphic studies. In light of these efforts, the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and precision. Genetic algorithms, differential evolution, particle swarm optimization, grey wolf optimization, artificial bee colony, and evolution strategies were used to improve machine learning models to predict TOC. The six metaheuristics were integrated into four machine learning methods: extreme learning machine, elastic net linear model, linear support vector regression, and multivariate adaptive regression splines. Core samples from the YuDong-Nan shale gas field, located in the Sichuan basin, were used to evaluate the hybrid strategy. The findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict TOC. The results show that, independent of the metaheuristic used to guide the model selection, optimized extreme learning machines attained the best performance scores according to six metrics. Such hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning Evolutionary algorithms Geology

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Characterization of Arroyo Verde Epithermal Deposit:Paragenesis,Mineral Geochemistry,Geochronology and Fluid Inclusions in Lower Chon Aike Volcanism,Argentina

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Journal of Earth Science 2024年第1期35卷 62-84页

作者： Cecilia Pavón Pivetta leonardo Benedini Paulo Marcos Ma.Agustina Cócola Mercedes Virginia Barros Daniel Gregori leonardo Strazzere Anderson Costa dos Santos Mauro C.Geraldes Instituto Geologico del Sur(INGEOSUR) Universidad Nacional del Sur(UNS)-Consejo Nacional de Investigaciones Cientificas y Tecnicas(CONICET)Bahia Blanca 8000Argentina Dpto.de Geologia Universidad Nacional del Sur(UNS)Bahia Blanca 8000Argentina Universidad Nacional de Rio Negro Instituto de Investigacion en Paleobiologia y GeologiaGeneral Roca 8332Argentina Universidade do Estado do Rio de Janeiro Faculdade de GeologiaDepartamento de Mineralogia e Petrologia igneaRiodeJaneiro20559-900Brazil Geobiotec Departamento de GeocienciasUniversidade de AveiroAveiro 3800-002Portuga

Arroyo Verde epithermal deposit,in the North Patagonia region of Argentina,is located within the Lower Chon Aike volcanism and is developed between 192.6±2.5 Ma(mineralization host rock)and 189.5±2.6 Ma(overlying lava).Marifil volcanic complex is the host rock for these veins,veinlets and *** particular small deposit has developed low to intermediate sulphidation characteristics,with gangue mineral textures associated with several ore *** probe microanalysis determines electrum,silver minerals such as acanthite,and tetrahedrite,related Ag-Cu minerals like jalpaite,mckinstryite,stromeyerite,and base metals like chalcopyrite,sphalerite,galena and *** inclusions in quartz of two out of five events indicate that these Low Jurassic veins were formed due to subtle boiling and dilution mechanisms and by low-salinity(3.4 wt.%to 6.7 wt.%NaCl Eq)magmatic-hydrothermal fluid at 225 to 310℃.The fluid inclusion measurements that indicate boiling(Event 3)were plotted,and based on this data,we interpret that the Arroyo Verde deposit has been eroded between 550 and 700 *** particular character has not been previously recorded for other sectors of the eastern north Patagonian region.

关键词： epithermal deposit Ag minerals mineral geochemistry fluid inclusions Chon Aike geochronology

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Pulsed electromagnetic field stimulation enhances neurite outgrowth in neural cells and modulates inflammation in macrophages

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Engineered Regeneration 2024年第1期5卷 80-91页

作者： Francesco Fontana Andrea Cafarelli Francesco Iacoponi Soria Gasparini Tiziano Pratellesi Abigail NKoppes leonardo Ricotti The BioRobotics Institute Scuola Superiore Sant’Anna56127 PisaItaly Department of Excellence in Robotics&AI Scuola Superiore Sant’Anna56127 PisaItaly BAC Technology s.r.l. 50063 FlorenceItaly Department of Chemical Engineering Northeastern UniversityBostonMA 02115USA Department of Bioengineering Northeastern UniversityBostonMA 02115USA Department of Biology Northeastern UniversityBostonMA 02115USA

Nerve regeneration following traumas remains an unmet *** application of pulsed electromagnetic field(PEMF)stimulation has gained traction for a minimally invasive regeneration of ***,a sys-tematic exploration of different PEMF parameters influencing neuron function at a cellular level is not *** this study,we exposed neuroblastoma F11 cells to PEMF to trigger beneficial effects on neurite *** carrier frequencies,pulse repetition frequencies,and duty cycles were screened with a custom ad hoc setup to find the most influential parameters values.A carrier frequency of 13.5 MHz,a pulse repetition frequency of 20 Hz,and a duty cycle of 10%allowed maximal neurite outgrowth,with unaltered viability with respect to non-stimulated ***,in a longer-term analysis,such optimal conditions were also able to in-crease the gene expression of neuronal expression markers NeuN and Tuj-1 and transcription factor ***,the same optimal stimulation conditions were also applied to THP-1 macrophages,and both pro-inflammatory(TNF-α,IL-1β,IL-6,IL-8)and anti-inflammatory cytokines(IL-10,CD206)were *** optimal PEMF stimulation parameters did not induce differentiation towards an M1 macrophage phenotype,decreased IL-1β and IL-8 gene expression,decreased TNF-α and IL-8 cytokine release in M1-differentiated cells,increased IL-10 and CD206 gene expression,as well as IL-10 cytokine release in M0 *** specific PEMF stimulation regime,which is optimal in vitro,might have a high potential for a future in vivo translation targeting neural regeneration and anti-inflammatory action for treating peripheral nerve injuries.

关键词： Nerve regeneration Biophysical stimulation Pulsed electromagnetic fields(PEMF) Neurite outgrowth Anti-inflammatory Peripheral nerve injuries

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Prostate cancer temporal and regional trends in Brazil

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Oncology Research 2024年第10期32卷 1565-1573页

作者： MEHRSA JALALIZADEH HEVELINE RAYANE MOURA ROESCH FERNANDO KORKES QUOC DIEN-TRINH leonardo OLIVEIRA REIS UroScience School of Medical SciencesState University of CampinasCampinas13083-872Brazil Division of Urology Faculdade de Medicina do ABCSão Paulo09051-040Brazil Division of Urological Surgery and Center for Surgery and Public Health Brigham and Women’s HospitalHarvard Medical SchoolBostonMA 02115USA ImmunOncology Pontifical Catholic University of CampinasPUC-CampinasCampinas13087-571Brazil

Objectives:The Brazilian Unified Health System(SistemaÚnico de Saúde−SUS)is the universal public healthcare system of Brazil that maintains a nationwide database of its *** primary objective was to analyze regional and temporal trends,while our secondary goal was to establish correlations between states’health economy status and their prostate cancer(PCa)***:We analyzed Brazil’s nationwide data on prostate cancer(PCa)incidence,mortality,and care gathered between 2013 and 2021 by the Information Technology Department of SUS(DATA-SUS),updated monthly using the International Classification of Diseases(ICD-10)***:In the period,273,933 new cases of PCa and 135,336 PCa deaths were reported in men aged 50 years or over in *** median annual PCa-specific incidence rate(PCSIR)ranged from 14.7 in the Southeast to 6.9 in the North region and the median annual PCa-specific mortality rate(PCSMR)ranged from 7.7 in the Northeast to 6.0 in the South region(per 10,000 men>50).The median annual mortality to incidence ratio(MIR)was highest in the North(0.88)and lowest in the Southeast region(0.44).There were significant regional differences in PCa treatment rates(per new cases);the Midwest region had the highest median annual surgery rate(0.63)while the North region had the highest median annual systemic therapy rate(0.75)and the lowest radiation therapy rate(0.06).Temporal analysis of the data showed significant change in annual rate trends after the year 2018 for PCSIR(coefficient[β]=+3.66,p<0.001),any treatment(β=−0.06,p=0.016),surgery([SR]β=+0.05,p=0.017)radiation therapy([RTR]β=−0.06,p=0.005)and systemic therapy([STR]β=−0.10,p=0.002).After the 2020 pandemic,annual PCSIR decreased(β=−2.15,p=0.002)but annual PCSMR,MIR,and treatment rates remained *** studies showed that the PCSIR was strongly negatively correlated with STR(p<0.001)and positively correlated with RTR(p=0.004).MIR was positively correlated with STR(p<0.001)and ne

关键词： Prostate cancer(PCa)epidemiology Regional disparities Temporal trends COVID-19 pandemic Screening

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