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| 1 | Autonomic impairment after myocardial infarction:role in cardiac remodelling and mortality 显示文摘 | Mostarda C Rodrigues B Vane M | 2010 | Clin Exp Pharmacol Physiol2010，37，4： | 1 |
| 2 | Aerobic exercise training delays cardiac dysfunction and improves autonomic control of circulation in diabetic rats undergoing myocardial infarction显示文摘 | Rodrigues B Jorge L Mostarda CT | | 0，，09： | 1 |
| 3 | Homocysteine thiolactone induces cardiac dysfunction :role of oxidative stress显示文摘 | Mendes RH Sirvente RA Candido GO Mostarda C Salemi VM D' Almeida V | 2010 | J Cardiovasc Pharma- col2010，55，2： | 1 |
| 4 | Diabetic hyperglycemia attenuates sympathetic dysfunction and oxidative stress after myocardial infarction in rats 显示文摘 | Malfitano C Barboza C Mostarda C | 2014 | Cardiovasc Diabetol2014，13，1： | 1 |
| 5 | Baroreflex deficit blunts exercise training induced cardiovascular and autonomic adaptation in hypertensive rats显示文摘 | Moraes Silva I C De La Fuente R N Mostarda C | | 0，，03： | 1 |
| 6 | Cardiac pulmonary arterial remodeling after sinoaortic denervation in normotensive rats显示文摘 | Flues K Moraes-Silva I C Mostarda C | | 0，，： | 1 |
| 7 | Distributed Intrusion Detection Systems for Enhancing Security in Mobile Wireless Sensor Networks显示文摘 | Leonardo Mostarda Alfredo Navarra | 2008 | International Journal of Distributed Sensor Networks2008，，2： | 1 |
| 8 | Diabetic hyperglycemia attenuates sympathetic dysfunction and oxidative stress ',after myocar- dial infarction in rats 显示文摘 | Malfitano C Barboza CA Mostarda C | 2014 | Cardiovasc Diabeto12014，13，1： | 1 |
| 9 | Distributed intrusion detection sys- tems for enhancing security in mobile wireless sensor networks显示文摘 | MOSTARDA L NAVARRA A | 2008 | In- ternational Journal of Distributed Sensor Networks2008，4，2： | 1 |
| 10 | Baroreflex deficit blunts exercise training-induced cardiovascular and autonomic adaptations in hypertensive rats显示文摘 | Moraes-silva IC De La Fuente RN Mostarda C | | 0，，03： | 1 |
| 11 | Hemodynamic, morphometric and autonomic patterns in hypertensive rats-Renin-Angiotensin sys- tem modulation显示文摘 | Zamo FS Lacchini S Mostarda C | 2010 | Clinics ( Sao Paulo)2010，65，1： | 1 |
| 12 | Diabetic hyperglycemia attenuates sympathetic dysfunction and oxidative stress after myocardial infarction in rats 显示文摘 | Malfitano C Barboza CA Mostarda C | 2014 | Cardiovasc Diabetol2014，13，1： | 1 |
| 13 | Role of Exercise Training in Cardiovascular Autonomic Dysfunction and Mortality in Diabetic Ovariectomized Rats显示文摘 | Silvia B.C. Souza Karin Flues Janaina Paulini Cristiano Mostarda Bruno Rodrigues Leandro E. Souza Maria-Cláudia Irigoyen Kátia De Angelis | 2007 | Hypertension2007，，4： | 1 |
| 14 | Management of patients on long-time oral anticoagulant therapy undergoing elective surgery: survey of the clinical practice in the Italian anticoagulant clinics 显示文摘 | Baudo F de Cataldo F Mostarda G | 2007 | Intern Emerg Med2007，2，4： | 1 |
| 15 | Preventive role of exercise training in autonomic,hemodynamic,and metabolic parameters in rats under high risk of metabolic syndrome development显示文摘 | Moraes-Silva IC Mostarda C Moreira ED | 2013 | J Appl Physiol2013，114，6： | 1 |
| 16 | Cardiac and pulmonary arterial remodeling after sinoaortic denervation in normotensive rats显示文摘 | Flues K Moraes-Silva IC Mostarda C | 2012 | Auton Neurosci2012，166，： | 1 |
| 17 | Cardiac and pulmo- nary arterial remodeling after sinoaortic denervation in normoten- sive rats显示文摘 | Flues K Moraes--Silva IC Mostarda C | 2012 | Auton Neurosei2012，166，： | 1 |
| 18 | Exercise training prevents increased intraocular pressure and sympathetic vascular modulation in an experimental model of metabolic syndrome 显示文摘 | Castro EF Mostarda CT Rodrigues B | 2015 | Brazilian Journal of Medical and Biological Research2015，48，4： | 1 |
| 19 | Intelligent Framework for Secure Transportation Systems Using Software-Defined-Internet of Vehicles显示文摘The Internet of Things plays a predominant role in automating all real-time applications.One such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic rules.As vehicles are connected to the internet through wireless communication technologies,the Internet of Vehicles network infrastructure is susceptible to flooding attacks.Reconfiguring the network infrastructure is difficult as network customization is not possible.As Software Defined Network provide a flexible programming environment for network customization,detecting flooding attacks on the Internet of Vehicles is integrated on top of it.The basic methodology used is crypto-fuzzy rules,in which cryptographic standard is incorporated in the traditional fuzzy rules.In this research work,an intelligent framework for secure transportation is proposed with the basic ideas of security attacks on the Internet of Vehicles integrated with software-defined networking.The intelligent framework is proposed to apply for the smart city application.The proposed cognitive framework is integrated with traditional fuzzy,cryptofuzzy and Restricted Boltzmann Machine algorithm to detect malicious traffic flows in Software-Defined-Internet of Vehicles.It is inferred from the result interpretations that an intelligent framework for secure transportation system achieves better attack detection accuracy with less delay and also prevents buffer overflow attacks.The proposed intelligent framework for secure transportation system is not compared with existing methods;instead,it is tested with crypto and machine learning algorithms. | Mohana Priya Pitchai Manikandan Ramachandran Fadi Al-Turjman Leonardo Mostarda | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 20 | Technology Landscape for Epidemiological Prediction and Diagnosis of COVID-19显示文摘The COVID-19 outbreak initiated from the Chinese city of Wuhanand eventually affected almost every nation around the globe. From China,the disease started spreading to the rest of the world. After China, Italybecame the next epicentre of the virus and witnessed a very high death toll.Soon nations like the USA became severely hit by SARS-CoV-2 virus. TheWorld Health Organisation, on 11th March 2020, declared COVID-19 a pandemic. To combat the epidemic, the nations from every corner of the worldhas instituted various policies like physical distancing, isolation of infectedpopulation and researching on the potential vaccine of SARS-CoV-2. Toidentify the impact of various policies implemented by the affected countrieson the pandemic spread, a myriad of AI-based models have been presented toanalyse and predict the epidemiological trends of COVID-19. In this work, theauthors present a detailed study of different articial intelligence frameworksapplied for predictive analysis of COVID-19 patient record. The forecastingmodels acquire information from records to detect the pandemic spreadingand thus enabling an opportunity to take immediate actions to reduce thespread of the virus. This paper addresses the research issues and correspondingsolutions associated with the prediction and detection of infectious diseaseslike COVID-19. It further focuses on the study of vaccinations to cope withthe pandemic. Finally, the research challenges in terms of data availability,reliability, the accuracy of the existing prediction models and other open issuesare discussed to outline the future course of this study. | Siddhant Banyal Rinky Dwivedi Koyel Datta Gupta Deepak Kumar Sharma Fadi Al-Turjman Leonardo Mostarda | 2021 | Computers, Materials & Continua2021，，5： | 0 |
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