|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Stability Limitation and Analytical Evaluation of Voltage Droop Controllers for VSC MTDC显示文摘This paper presents a systematic analysis of DC voltage stability of a multi-terminal VSC-HVDC(MTDC)system,with the emphasis on a comparative study of the most ubiquitous droop control configurations.The paper introduces a general framework for the analysis of various droop control configurations employed in MTDC systems.This framework is then used to compare leading droop control configurations in terms of their impact on the relative stability,performance and robustness of the overall MTDC system.A generalized analytical MTDC model that contains detailed models of AC and DC system components is derived.Limitations imposed by DC power flow,DC inductor,cable modeling and AC network impedance on DC system stability are identified.Classical and multivariable frequency response analysis and eigenvalue analysis are applied to open-loop and closed-loop models to compare the stability and robustness of five leading droop controllers,with the focus on feedback signal selection and controller parameterization.This paper also proposes an active stabilizing controller,which takes the form of a modified constant power control,to enhance the controllability and robustness of the DC voltage control. | Wenyuan Wang Mike Barnes Ognjen Marjanovic | 2018 | CSEE Journal of Power and Energy Systems2018，4，2： | 34 |
| 2 | Diagnosis and treatment of acute pulmonary inflammation in critically ill patients: The role of inflammatory biomarkers显示文摘Pneumonia and acute respiratory distress syndrome are common and important causes of respiratory failure in the intensive care unit with a significant impact on morbidity, mortality and health care utilization despite early antimicrobial therapy and lung protective mechanical ventilation. Both clinical entities are characterized by acute pulmonary inflammation in response to direct or indirect lung injury. Adjunct anti-inflammatory treatment with corticosteroids is increasingly used, although the evidence for benefit is limited. The treatment decisions are based on radiographic, clinical and physiological variables without regards to inflammatory state. Current evidence suggests a role of biomarkers for the assessment of severity, and distinguishing sub-phenotypes (hyperinflammatory versus hypo-inflammatory) with important prognostic and therapeutic implications. Although many inflammatory biomarkers have been studied the most common and of interest are C-reactive protein, procalcitonin, and pro-inflammatory cytokines including interleukin 6. While extensively studied as prognostic tools (prognostic enrichment), limited data are available for the role of biomarkers in determining appropriate initiation, timing and dosing of adjunct anti-inflammatory treatment (predictive enrichment) | Sarah Chalmers Ali Khawaja Patrick M Wieruszewski Ognjen Gajic Yewande Odeyemi | 2019 | World Journal of Critical Care Medicine2019，8，5： | 12 |
| 3 | Checklist for early recognition and treatment of acute illness:International collaboration to improve critica care practice显示文摘Processes to ensure world-wide best-practice for critical care delivery is likely to minimize preventable death, disability and costly complications for any healthcare system's sickest patients, but no large-scale efforts have so far been undertaken towards these goals. The advances in medical informatics and human factors engineering have provided possibility for novel and user-friendly clinical decision support tools that can be applied in a complex and busy hospital setting. To facilitate timely and accurate best-practice delivery in critically ill patients international group of intensive care unit(ICU) physicians and researchers developed a simple decision support tool: Checklist for Early Recognition and Treatment of Acute Illness(CERTAIN). The tool has been refined and tested in high fidelity simulated clinical environment and has been shown to improve performance of clinical providers faced with simulated emergencies. The aim of this international educational intervention is to implement CERTAIN into clinical practice in hospital settings with variable resources(included those in low income countries) and evaluate the impact of the tool on the care processes and patient outcomes. To accomplish our aims, CERTAIN will be uniformly available on either mobile or fixed computing devices(as well as a backup paper version) and applied in a standardized manner in the ICUs of diverse hospitals. To ensure the effectiveness of the proposed intervention, access to CERTAIN is coupled with structured training of bedside ICU providers. | Marija Vukoja Rahul Kashyap Srdjan Gavrilovic Yue Dong Oguz Kilickaya Ognjen Gajic | 2015 | World Journal of Critical Care Medicine2015，4，1： | 5 |
| 4 | Respiratory failure in the hematopoietic stem cell transplant recipient显示文摘The number of patients receiving hematopoietic stem cell transplantation(HSCT) is rapidly rising worldwide. Despite substantial improvements in peri-transplant care, pulmonary complications resulting in respiratory failure remain a major contributor to morbidity and mortality in the post-transplant period, and represent a major barrier to the overall success of HSCT. Infectious complications include pneumonia due to bacteria, viruses, and fungi, and most commonly occur during neutropenia in the early post-transplant period. Non-infectious complications include idiopathic pneumonia syndrome, periengraftment respiratory distress syndrome, diffuse alveolar hemorrhage, pulmonary veno-occlusive disease, delayed pulmonary toxicity syndrome, cryptogenic organizing pneumonia, bronchiolitis obliterans syndrome, and post-transplant lymphoproliferative disorder. These complications have distinct clinical features and risk factors, occur at differing times following transplant, and contribute to morbidity and mortality. | Patrick M Wieruszewski Svetlana Herasevich Ognjen Gajic Hemang Yadav | 2018 | World Journal of Critical Care Medicine2018，7，5： | 3 |
| 5 | Authors,Rights as an Instru-ment of Control : An Overview of the Ideas of Authorship andAuthors, Rights in Socialists Yugoslavia, and How These Ideas DidNot Change to Reflect the Ideas of the Socialist Revolution 显示文摘 | Natalija Grgorinic Ognjen Raden | 2008 | Law and Critique 792008，，1： | 1 |
| 6 | Karst spring hydrographs as indicators of karst aquifers显示文摘 | OGNJEN B | 1993 | Hydrological Sciences1993，38，12： | 1 |
| 7 | Hydrological identification of drought 显示文摘 | Ognjen B | 1993 | Hydrological Processes1993，7，3： | 1 |
| 8 | Ventilator-induced cell wounding and repair in the intact lung显示文摘 | Ognjen Gajic Jaeho Lee Clinton H | 2003 | Am Respi Crit Care Med2003，167，4： | 1 |
| 9 | Tumors in Kidney Fusion Anomalies Report of Five Cases and Review of the Literature显示文摘 | Goran Stimac Jordan Dimanovski Boris Ruzic Borislav Spajic Ognjen Kraus | 2004 | Scandinavian Journal of Urology and Nephrology2004，，6： | 1 |
| 10 | Active Robust Resource Management in Cluster Computing Using Policies显示文摘 | Lionel Sacks Ognjen Prnjat Ioannis Liabotis Temitope Olukemi Adrian Ching Mike Fisher Paul Mckee Nektarios Georgalas Hideki Yoshii | 2003 | Journal of Network and Systems Management2003，，3： | 1 |
| 11 | Low baseline serum creatinine concentration predicts mortality in- critically ill patientsin dependent of body mass index显示文摘 | Cartin- CebaRodrigo Afessa Bekele Gajic Ognjen | 2007 | Crit Care Med2007，35，10： | 1 |
| 12 | The distributions of major whey proteins in acid wheys obtained from caprine/bovine and ovine/bovine milk mixtures显示文摘 | Mirjana B. Pesic Miroljub B. Barac Miroslav M. Vrvic Nikola M. Ristic Ognjen D. Macej Sladjana P. Stanojevic Aleksandar Z. Kostic | 2011 | International Dairy Journal2011，，10： | 1 |
| 13 | Artificial intelligence and computer simulation models in critical illness显示文摘Widespread implementation of electronic health records has led to the increased use of artificial intelligence(AI)and computer modeling in clinical medicine.The early recognition and treatment of critical illness are central to good outcomes but are made difficult by,among other things,the complexity of the environment and the often non-specific nature of the clinical presentation.Increasingly,AI applications are being proposed as decision supports for busy or distracted clinicians,to address this challenge.Data driven“associative”AI models are built from retrospective data registries with missing data and imprecise timing.Associative AI models lack transparency,often ignore causal mechanisms,and,while potentially useful in improved prognostication,have thus far had limited clinical applicability.To be clinically useful,AI tools need to provide bedside clinicians with actionable knowledge.Explicitly addressing causal mechanisms not only increases validity and replicability of the model,but also adds transparency and helps gain trust from the bedside clinicians for real world use of AI models in teaching and patient care. | Amos Lal Yuliya Pinevich Ognjen Gajic Vitaly Herasevich Brian Pickering | 2020 | World Journal of Critical Care Medicine2020，9，2： | 1 |
| 14 | Transfusion-related acute lung injury in the critically ill prospective nested case-control study显示文摘 | Ognjen Gajic Rimki Rana Jeffrey L | 2007 | Am J Respir Crit Care Med2007，176，9： | 1 |
| 15 | Achieving robust face recognition from video by combining a weak photometric model and a learnt generic face invariant显示文摘 | Arandjelovi Ognjen Cipolla R | 2013 | Pattern Recognition2013，46，1： | 1 |
| 16 | Design and Implementation of Industrial Neural Network Controller Using Backstepping显示文摘 | Ognjen Kuljaca Nitin Swamy Frank L Lewis Chiman M Kwan | 2003 | IEEE Transactions on Industrial Electronics2003，50，1： | 1 |
| 17 | Severity of illness and organ failure assessment in adult intensive care units 显示文摘 | Bekele Afessa Ognjen Gajic | 2007 | Grit Care Clin2007，23，3： | 1 |
| 18 | Ventilator-associated lung injury in patients without acute lung injury at the onset of mechanical ventilation显示文摘 | Ognjen Gajic Saqib I. Dara Jose L. Mendez Adebola O. Adesanya Emir Festic Sean M. Caples Rimki Rana Jennifer L. St. Sauver James F. Lymp Bekele Afessa Rolf D. Hubmayr | 2004 | Critical Care Medicine2004，，9： | 1 |
| 19 | Predictive modeling in neurocritical care using causal artificial intelligence显示文摘Artificial intelligence(AI)and digital twin models of various systems have long been used in industry to test products quickly and efficiently.Use of digital twins in clinical medicine caught attention with the development of Archimedes,an AI model of diabetes,in 2003.More recently,AI models have been applied to the fields of cardiology,endocrinology,and undergraduate medical education.The use of digital twins and AI thus far has focused mainly on chronic disease management,their application in the field of critical care medicine remains much less explored.In neurocritical care,current AI technology focuses on interpreting electroencephalography,monitoring intracranial pressure,and prognosticating outcomes.AI models have been developed to interpret electroencephalograms by helping to annotate the tracings,detecting seizures,and identifying brain activation in unresponsive patients.In this mini-review we describe the challenges and opportunities in building an actionable AI model pertinent to neurocritical care that can be used to educate the newer generation of clinicians and augment clinical decision making. | Johnny Dang Amos Lal Laure Flurin Amy James Ognjen Gajic Alejandro A Rabinstein | 2021 | World Journal of Critical Care Medicine2021，10，4： | 1 |
| 20 | Colour Invariants Under A Non-Linear Photometric Camera Model And Their Application To Face Re- cognition From Video 显示文摘 | Arandjelovi& Ognjen | 2012 | Pattern Recognition2012，36，24： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员