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| 1 | Aging behaviour of Al–Cu–Mg alloy–SiC composites显示文摘 | Sharmilee Pal R. Mitra V.V. Bhanuprasad | 2007 | Materials Science & Engineering A2007，，1： | 1 |
| 2 | Aging behaviour of A1-Cu-Mg alloy-SiC composites显示文摘 | Sharmilee P Mitra R Bhanuprasad V V | 2008 | Materials Science and Engineering2008，480，： | 1 |
| 3 | Damage evaluation in discontinuously reinforced aluminum matrix composites subjected to thermal cycling显示文摘 | Sharmilee Pal Bhanuprasad V V Mitra R | 2008 | Materials Science and Engineering A2008，489，12： | 1 |
| 4 | Potentiation of carbon tetrachloride hepatotoxicity and lethality in type 2 diabetic rats 显示文摘 | Sharmilee PS Ankur Kartik Shankar | 2004 | J Pharmacol Exp Ther2004，308，2： | 1 |
| 5 | Aging behaviour of A1-Cu-Mg alloy-SiC composites 显示文摘 | SHARMILEE P MITRA R BHANUPRASAD V | 2008 | Mater Sci Eng: A2008，480，12： | 1 |
| 6 | Aging be- havior of A1-Cu-Mg alloy-SiC composites 显示文摘 | Sharmilee P Mitra R Bhanuprasad V V | 2008 | Materials Science and Engineering A2008，480，12： | 1 |
| 7 | Mechanisms of inhibited liver tissue repair in toxicant challenged type 2 diabetic rats显示文摘 | Sharmilee P. Sawant Ankur V. Dnyanmote Harihara M. Mehendale | 2007 | Toxicology2007，，3： | 1 |
| 8 | Type 2 diabetic rats are sensitive to thioacetamide hepatotoxicity显示文摘 | Sharmilee P. Sawant Ankur V. Dnyanmote Alan Warbritton John R. Latendresse Harihara M. Mehendale | 2005 | Toxicology and Applied Pharmacology2005，，3： | 1 |
| 9 | Aging behaviour of Al-Cu-Mg alloy SiC composites 显示文摘 | Sharmilee Pal Mitra R Bhanuprasad V V | 2008 | Materials Science and Engineering2008，480，： | 1 |
| 10 | Antihypertensive prescribing patterns in non-dialysis dependent chronic kidney disease:Findings from the Salford Kidney Study显示文摘BACKGROUND Hypertension is commonly observed in patients living with chronic kidney disease(CKD).Finding an optimal treatment regime remains challenging due to the complex bidirectional cause-and-effect relationship between hypertension and CKD.There remains variability in antihypertensive treatment practices.AIM To analyze data from the Salford Kidney Study database in relation to antihypertensive prescribing patterns amongst CKD patients.METHODS The Salford Kidney Study is an ongoing prospective study that has been recruiting CKD patients since 2002.All patients are followed up annually,and their medical records including the list of medications are updated until they reach study endpoints[starting on renal replacement therapy or reaching estimated glomerular filtration rate(eGFR)expressed as mL/min/1.73 m2≤10 mL/min/1.73 m2,or the last follow-up date,or data lock on December 31,2021,or death].Data on antihypertensive prescription practices in correspondence to baseline eGFR,urine albumin-creatinine ratio,primary CKD aetiology,and cardiovascular disease were evaluated.Associations between patients who were prescribed three or more antihypertensive agents and their clinical outcomes were studied by Cox regression analysis.Kaplan-Meier analysis demonstrated differences in survival probabilities.RESULTS Three thousand two hundred and thirty non-dialysis-dependent CKD patients with data collected between October 2002 and December 2019 were included.The median age was 65 years.A greater proportion of patients were taking three or more antihypertensive agents with advancing CKD stages(53%of eGFR≤15 mL/min/1.73 m2 vs 26%of eGFR≥60 mL/min/1.73 m2,P<0.001).An increased number of patients receiving more classes of antihypertensive agents was observed as the urine albumin-creatinine ratio category increased(category A3:62%vs category A1:40%,P<0.001),with the upward trends particularly noticeable in the number of individuals prescribed renin angiotensin system blockers.The prescription of three or more antihypertensive agents was associated with all-cause mortality,independent of blood pressure control(hazard ratio:1.15;95%confidence interval:1.04-1.27,P=0.006).Kaplan-Meier analysis illustrated significant differences in survival outcomes between patients with three or more and those with less than three antihypertensive agents prescribed(log-rank,P<0.001).CONCLUSION Antihypertensive prescribing patterns in the Salford Kidney Study based on CKD stage were consistent with expectations from the current United Kingdom National Institute of Health and Care Excellence guideline algorithm.Outcomes were poorer in patients with poor blood pressure control despite being on multiple antihypertensive agents.Continued research is required to bridge remaining variations in hypertension treatment practices worldwide. | Rajkumar Chinnadurai Henry H L Wu Jones Abuomar Sharmilee Rengarajan David I New Darren Green Philip A Kalra | 2023 | World Journal of Nephrology2023，12，5： | 0 |
| 11 | IoT-Deep Learning Based Activity Recommendation System显示文摘The rising use of mobile technology and smart gadgets in the field of health has had a significant impact on the global community.Health professionals are increasingly making use of the benefits of these technologies,resulting in a major improvement in health care both in and out of clinical settings.The Internet of Things(IoT)is a new internet revolution that is a rising research area,particularly in health care.Healthcare Monitoring Systems(HMS)have progressed rapidly as the usage of Wearable Sensors(WS)and smartphones have increased.The existing framework of conventional telemedicine’s store-and-forward method has some issues,including the need for a nearby health centre with dedicated employees and medical devices to prepare patient reports.Patients’health can be continuously monitored using advanced WS that can be fitted or embedded in their bodies.This research proposes an innovative and smart HMS,which is built using recent technologies such as the IoT and Machine Learning(ML).In this study,we present an innovative and intelligent HMS based on cutting-edge technologies such as the IoT and Deep Learning(DL)+Restricted Boltzmann Machine(RBM).This DL+RBM model is clever enough to detect and process a patient’s data using a medical Decision Support System(DSS)to determine whether the patient is suffering from a major health problem and treat it accordingly.The recommended system’s behavior is increasingly investigated using a cross-validation test that determines various demographically relevant standard measures.Through a healthcare DSS,this framework is clever enough to detect and analyze a patient’s data.Experiment results further reveal that the proposed system is efficient and clever enough to deliver health care.The data reported in this study demonstrate the notion.This device is a low-cost solution for people living in distant places;anyone can use it to determine if they have a major health problem and seek treatment by contacting nearby hospitals. | Sharmilee Kannan R.U.Anitha M.Divayapushpalakshmi K.S.Kalaivani | 2023 | Computer Systems Science & Engineering2023，45，5： | 0 |
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