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Postoperative apnea after pyloromyotomy for infantile hypertrophic pyloric stenosis

World Journal of Pediatric Surgery 2022年第3期5卷 125-130页

作者： Anna Camporesi veronica Diotto Elena Zoia Simone Rotta Federica Tarantino Laura Maria Giuditta Eccher Valeria Calcaterra Gloria Pelizzo Marco Gemma Pediatric Anesthesia and Intensive Care Vittore Buzzi Children's HospitalMilanoItaly Department of Pediatrics Universitàdegli Studi di PaviaPaviaItaly Department of Pediatrics Vittore Buzzi Children's HospitalMilanoItaly Department of Biomedical and Clinical Science Luigi Sacco University HospitalMilanoItaly Department of Pediatric Surgery Vittore Buzzi Children's HospitalMilanoItaly NeuroAnesthesia and NeuroIntensive Care Fondazione IRCCS Istituto Neurologico Carlo BestaMilanoItaly

Objective Infantile hypertrophic pyloric stenosis(IHPS),which causes gastric outlet obstruction and hypochloremic hypokalemic metabolic alkalosis,could pose a risk of postoperative apnea in *** aim of this study is to evaluate the incidence of postoperative apnea in babies admitted to a tertiary-level pediatric surgical center in Milano,Italy with diagnosis of IHPS in *** secondary objective is to evaluate the risk factors for postoperative *** This is a single-center,retrospective,observational cohort *** patients admitted to our institution with diagnosis of IHPS during the study period were *** and surgical variables,along with blood gas parameters,were obtained from the *** apnea was defined as a respiratory pause longer than 15 s or a respiratory pause lasting less than 15 s,but associated with either bradycardia(heart rate<120 per minute),desaturation(SatO2<90%),cyanosis,or *** was obtained from nursing charts and was recorded as a no/yes dichotomous *** Of 122 patients,12(9.84%)experienced apnea and 110(90.16%)did *** univariate analysis,we found that only postoperative hemoglobin was significantly different between the groups(p=0.03).No significant multivariable model was better than this univariate model for prediction of *** Postoperative anemia,possibly due to hemodilution,increased the risk of postoperative *** could be hypothesized that anemia can be added as another apnea-contributing factor in a population at risk due to metabolic changes.

关键词： apnea admitted sized

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Learning from a carbon dioxide capture system dataset: Application of the piecewise neural network algorithm

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Petroleum 2017年第1期3卷 56-67页

作者： veronica Chan Christine Chan Energy Informatics Laboratory Faculty of Engineering and Applied ScienceUniversity of ReginaReginaSK S4S0A2Canada

This paper presents the application of a neural network rule extraction algorithm,called the piecewise linear artificial neural network or PWL-ANN algorithm,on a carbon capture process system *** objective of the application is to enhance understanding of the intricate relationships among the key process *** algorithm extracts rules in the form of multiple linear regression equations by approximating the sigmoid activation functions of the hidden neurons in an artificial neural network(ANN).The PWL-ANN algorithm overcomes the weaknesses of the statistical regression approach,in which accuracies of the generated predictive models are often not satisfactory,and the opaqueness of the ANN *** results show that the generated PWL-ANN models have accuracies that are as high as the originally trained ANN models of the four datasets of the carbon capture process *** analysis of the extracted rules and the magnitude of the coefficients in the equations revealed that the three most significant parameters of the CO_(2) production rate are the steam flow rate through reboiler,reboiler pressure,and the CO_(2) concentration in the flue gas.

关键词： Carbon dioxide capture process system Artificial neural network Rule extractions Non-linear modeling Linear regression

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Developing a predictive maintenance model for vessel machinery

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Journal of Ocean Engineering and Science 2020年第4期5卷 358-386页

作者： veronica Jaramillo Jimenez Noureddine Bouhmala Anne Haugen Gausdal Department of Maritime Operations University of South-Eastern Norway Kristiania University College

The aim of maintenance is to reduce the number of failures in equipment and to avoid breakdowns that may lead to disruptions during *** objective of this study is to initiate the development of a predictive maintenance solution in the shipping industry based on a computational artificial intelligence model using real-time monitoring *** data analysed originates from the historical values from sensors measuring the vessel´s engines and compressors health and the software used to analyse these data was *** results demonstrated key parameters held a stronger influence in the overall state of the components and proved in most cases strong correlations amongst sensor data from the same *** results also showed a great potential to serve as inputs for developing a predictive model,yet further elements including failure modes identification,detection of potential failures and asset criticality are some of the issues required to define prior designing the algorithms and a solution based on artificial intelligence.A systematic approach using big data and machine learning as techniques to create predictive maintenance strategies is already creating disruption within the shipping industry,and maritime organizations need to consider how to implement these new technologies into their business operations and to improve the speed and accuracy in their maintenance decision making.

关键词： Maintenance in Shipping industry Big Data Analytics Vessel Machinery Sensor Systems Sensor Data Condition Based Maintenance Predictive Maintenance

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Rockfall seismic features analysis based on in situ tests:frequency, amplitude, and duration

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Journal of Mountain Science 2019年第5期16卷 955-973页

作者： Liang FENG veronica PAZZI Emanuele INTRIERI Teresa GRACCHI Giovanni GIGLI Department of Earth Sciences University of Florence

In the seismic event classification,determining the seismic features of rockfall is significantly important for the automatic classification of seismic events because of the huge amount of raw data recorded by seismic stations in continuous monitoring. At the same time, the rockfall seismic features are still not completely *** study concentrates on the rockfall frequency content, amplitude(ground velocity), seismic waveform and duration analysis, of an artificial rockfall test at Torgiovannetto(a former quarry in Central Italy). A total of 90 blocks were released in the test, and their seismic signals and moving trajectories were recorded by four tri-axial seismic stations and four cameras, respectively. In the analysis processing,all the artificial rockfall signal traces were cut separately and the seismic features were extracted individually and automatically. In this study, the relationships between a) frequency content and impacted materials, b) frequency content and the distance between block releasing position and seismic station(source-receiver distance) were discussed. As a result, we found that the frequency content of rockfall focuses on 10-60 Hz and 80-90 Hz within a source-receiver distance of 200 m, and it is well correlated with impacted material and source-receiver distance. To evaluate the difference between earthquake and rockfall, 23 clear earthquake signals recorded in a seven month-long continuous seismic monitoring, carried out with the four seismic stations, were picked out, according to the Italian national earthquakes database(INGV). On these traces we performed the same analysis as in the artificial rockfall traces, and two parameters were defined to separate rockfall events from earthquake noise. The first one, the amplitude ratio, is related to the amplitude variation of rockfall between two stations and is greater than that of earthquakes, because of the higher attenuation occurring for rockfall events, which consists in high

关键词： Rockfall Seismic noise analysis Fourier transform Seismic events classification Time-series analysis Seismic monitoring

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Cardiovascular dysfunction following spinal cord injury

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Neural Regeneration Research 2016年第2期11卷 189-194页

作者： Elizabeth Partida Eugene Mironets Shaoping Hou veronica J.Tom Spinal Cord Research Center Department of Neurobiology & Anatomy Drexel University College of Medicine

Both sensorimotor and autonomic dysfunctions often occur after spinal cord injury（SCI）. Particularly, a high thoracic or cervical SCI interrupts supraspinal vasomotor pathways and results in disordered hemodynamics due to deregulated sympathetic outflow. As a result of the reduced sympathetic activity, patients with SCI may experience hypotension, cardiac dysrhythmias, and hypothermia post-injury. In the chronic phase, changes within the CNS and blood vessels lead to orthostatic hypotension and life-threatening autonomic dysreflexia（AD）. AD is characterized by an episodic, massive sympathetic discharge that causes severe hypertension associated with bradycardia. The syndrome is often triggered by unpleasant visceral or sensory stimuli below the injury level. Currently the only treatments are palliative - once a stimulus elicits AD, pharmacological vasodilators are administered to help reduce the spike in arterial blood pressure. However, a more effective means would be to mitigate AD development by attenuating contributing mechanisms, such as the reorganization of intraspinal circuits below the level of injury. A better understanding of the neuropathophysiology underlying cardiovascular dysfunction after SCI is essential to better develop novel therapeutic approaches to restore hemodynamic performance.

关键词： blood pressure heart rate autonomic dysreflexia hypertension bradycardia spinal cord lesion sprouting plasticity bladder distension relay sympathetic activity

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Prevalence of Antimicrobial Resistance of ESKAPE Pathogens before and during Pandemic COVID-19 Pandemic in a University Affiliated Hospital in Tangerang, Indonesia

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Open Journal of Medical Microbiology 2023年第2期13卷 146-158页

作者： Nata Pratama Hardjo Lugito Cucunawangsih Cucunawangsih veronica Wiwing Neneng Suryadinata Department of Internal Medicine Faculty of Medicine Pelita Harapan University Tangerang Indonesia Department of Clinical Microbiology Faculty of Medicine Pelita Harapan University Tangerang Indonesia Department of Medicine Faculty of Medicine Pelita Harapan University Tangerang Indonesia

Introduction: Antimicrobial resistance is the most important health problems currently. Antibiotic prophylaxis to prevent bacterial co-infections in hospitalized COVID-19 patients, and lack of surveillance were associated with antimicrobial resistance. ESKAPE pathogens consisting of E. faecium, S. aureus, K. pneumoniae, A. baumanii, P. aeruginosa and Enterobacter spp. are associated with healthcare-associated infections. Patients and Methods: This descriptive, retrospective, longitudinal study aims to describe the resistance rates of bloodstream infection due to ESKAPE pathogens from patients admitted in Siloam Hospital Karawaci, before and during COVID-19 pandemic (January 1st, 2019 until December 31st, 2022). Out of 296 ESKAPE pathogens collected from blood samples, S. aureus was the most frequent species, followed by K. pneumoniae, A. baumannii, P. aeruginosa, Enterobacter spp., and E. faecium. Results: Resistance rates of E. faecium were alarmingly high from 2019 until 2021, but in 2022 no sample was found. Resistance rates of S. aureus and MRSA decreased from 2019 until 2021 and then increased again in 2022 while for K. pneumoniae it peaked in 2020 and reached the lowest in 2022. Resistance pattern of A. baumanii was not favorable from 2019 until 2021, but decreased dramatically in 2022. Resistance pattern of P. aeruginosa was quite variable in 2021 and 2022 while for Enterobacter spp. it was variable in 2020 to 2022. Conclusion: The COVID-19 pandemic affected the antimicrobial resistance pattern of ESKAPE pathogens in Banten province, Indonesia. Resistance rates increased as the pandemic peaked in 2020 to 2021, and decreased as the pandemic resolves in 2022.

关键词： Antimicrobial Resistance COVID-19 Pandemic ESKAPE Pathogens Multidrug Resistance

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Nickel,Lead and Zinc Sorption in a Reclaimed Settling Pond Soil

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Pedosphere 2016年第1期26卷 39-48页

作者： veronica ASENSIO Ruben FORJAN Flora Alonso VEGA Emma Fernandez COVELO Department of Plant Biology and Soil Science Faculty of BiologyUniversity of VigoAs Lagoas-Marcosende36310 VigoPon-tevedra(Spain) Department Of Plant Nutrition University of Sdo Paulo-Center of Nuclear Energy in Agriculture(USP-CENA)134 00-970 Piracica-ba-SP(Brazil)

The wastes used to amend soils sometimes have high concentrations of metals such as nickel(Ni), lead(Pb) and zinc(Zn). To determine the capacity of soils to retain these metals, the sorption capacities of different mine soils with and without reclamation treatments(tree vegetation and waste amendment) for Ni, Pb and Zn in individual and competitive situations were evaluated using the batch sorption technique. The untreated settling pond soil had low capacity for Ni, Pb and Zn retention. The site amended with wastes(sewage sludges and paper mill residues) increased the sorption capacity most, probably because of the higher concentrations of soil components with high retention capacity such as carbon and clay fraction. No significant competition was observed between metals in the competitive sorption experiment, indicating that the maximum of sorption was not achieved by adding 0.5 mmol L^(-1) of metal. We can conclude that, despite the possible additions of Ni, Pb and Zn from wastes to degraded soils, sewage sludges and paper mill residues have a high sorption capacity that would prevent the metals from being in a mobile form.

关键词：土壤成分吸附能力沉淀池镍铅锌回收污水污泥

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Paracentral acute middle maculopathy after diagnostic cerebral angiography in a patient with a contralateral carotid-cavernous fistula

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International Journal of Ophthalmology(English edition) 2022年第11期15卷 1888-1890页

作者： Lidia Remoli Sargues Javier Montero Hernández Clara Monferrer Adsuara Nuria Gonzalez Giron Alicia Gracia Garcia veronica Castro Navarro Enrique Cervera Taulet Department of Ophthalmology Consorcio Hospital General Universitario of ValenciaAv.Tres Cruces 2Valencia 46014Spain

Dear Editor, I am Dr. Lidia Remolí Sargues from Consorcio Hospital General Universitario of Valencia. We write to present a case of paracentral acute middle maculopathy(PAMM) in a patient with a contralateral carotid... 详细信息

关键词： cerebral fistula acute

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Debris flow hazard assessment by means of numerical simulations:implications for the Rotolon creek valley(Northern Italy)

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Journal of Mountain Science 2017年第4期14卷 636-648页

作者： SALVATICI Teresa MORELLI Stefano PAZZI veronica FRODELLA William FANTI Riccardo Department of Earth Sciences University of FlorenceVia La Pira 450121Firenze(Italy)

On 4^(th) November 2010, a debris flow detached from a large debris cover accumulated above the lowermost portion of the Rotolon landslide(Vicentine Pre-Alps, NE Italy) and channelized in the valley below within the Rotolon Creek riverbed. Such event evolved into a highly mobile and sudden debris flow, damaging some hydraulic works and putting at high risk four villages located along the creek banks. A monitoring campaign was carried out by means of a ground based radar interferometer(GB-In SAR) to evaluate any residual displacement risk in the affected area and in the undisturbed neighbouring ***, starting from the current slope condition, a landslide runout numerical modelling was performed by means of DAN-3D code to assess the impacted areas, flow velocity, and deposit distribution of the simulated events. The rheological parameters necessary for an accurate modelling were obtained through the back analysis of the 2010 debris flow event. Back analysis was calibrated with all of the available terrain data coming from field surveys and ancillary documents, such as topographic,geomorphological and geological maps, with pre-and post-event Li DAR derived DTMs, and with orthophotos. Finally, to identify new possible future debris flow source areas as input data for the new modelling, all the obtained terrain data were reanalysed and integrated with the GB-In SAR displacement maps; consequently, new simulations were made to forecast future events. The results show that the integration of the selected modelling technique with ancillary data and radar displacement maps can be a very useful tool for managing problems related to debris flow events in the examined area.

关键词：数值模拟泥石流意大利危险性评价 InSAR 雷达干涉仪地形数据建模技术

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Deterministic and fuzzy-based methods to evaluate community resilience

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Earthquake Engineering and Engineering Vibration 2018年第2期17卷 261-275页

作者： Omar Kammouh Ali Zamani Noori veronica Taurino Stephen A.Mahin Gian Paolo Cimellaro Department of Civil Structural & Geotechnical Engineering Politecnico di Torino Sim Center Byron and Elvira Nishkian Professor of Structural Engineering 777 Davis Hall University of California Department of Civil and Environmental Engineering University of California

Community resilience is becoming a growing concern for authorities and decision *** paper introduces two indicator-based methods to evaluate the resilience of communities based on the PEOPLES *** is a multi-layered framework that defines community resilience using seven *** of the dimensions is described through a set of resilience indicators collected from literature and they are linked to a measure allowing the analytical computation of the indicator’s *** first method proposed in this paper requires data on previous disasters as an input and returns as output a performance function for each indicator and a performance function for the whole *** second method exploits a knowledge-based fuzzy modeling for its *** method allows a quantitative evaluation of the PEOPLES indicators using descriptive knowledge rather than deterministic data including the uncertainty involved in the *** output of the fuzzy-based method is a resilience index for each indicator as well as a resilience index for the *** paper also introduces an open source online tool in which the first method is implemented.A case study illustrating the application of the first method and the usage of the tool is also provided in the paper.

关键词： Deterministic approach resilience indicators fuzzy method PEOPLES framework Earthquake resilience

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