Polymer Nanocomposite-Based Electrochemical Sensors and Biosensors

Polymer nanocomposites (PNCs) play a significant role in modern day life and are widely studied for extensive properties which make them appealing to numerous applications. They are synthesized with scalable processing procedures with several nanoscale variations of fillers and forms leading to specific sensing applications. In this chapter, PNC-based electrochemical sensors and biosensors like DNA biosensors and immunosensors are discussed. These sensors related PNC applications uses nanofillers of various combinations like conductive polymers with graphene (Grp), carbon nanotubes (CNTs), and metal nanoparticles, which endow high electrical conductivity, effective surface area, and fast electron transfer rate. Currently, wearable devices based on electrochemical Sensors and biosensors have been of great interest in the detection of both physiological and environmental analytes

Finitistic spaces in L-topological spaces

Abstract In this paper the concept of finitistic spaces in L-topological spaces is introduced by means of α-Q-covers of open Lsubsets. Also a characterization of finitistic spaces in the weakly induced L-topological spaces is obtained. Moreover the behavior of finitistic spaces under various types of maps such as fuzzy perfect maps is also investigated. 4

Sex Differences in Outcomes after Stroke in Patients with Diabetes in Ontario, Canada.

BACKGROUND: Outcomes after stroke in those with diabetes are not well characterized, especially by sex and age. We sought to calculate the sex- and age-specific risk of cardiovascular outcomes after ischemic stroke among those with diabetes. METHODS: Using population-based demographic and administrative health-care databases in Ontario, Canada, all patients with diabetes hospitalized with index ischemic stroke between April 1, 2002, and March 31, 2012, were followed for death, stroke, and myocardial infarction (MI). The Kaplan-Meier survival analysis and Fine-Gray competing risk models estimated hazards of outcomes by sex and age, unadjusted and adjusted for demographics and vascular risk factors. RESULTS: Among 25,495 diabetic patients with index ischemic stroke, the incidence of death was higher in women than in men (14.08 per 100 person-years [95% confidence interval [CI], 13.73-14.44] versus 11.89 [11.60-12.19]) but was lower after adjustment for age and other risk factors (adjusted hazard ratio [HR], .95 [.92-.99]). Recurrent stroke incidence was similar by sex, but men were more likely to be readmitted for MI (1.99 per 100 person-years [1.89-2.10] versus 1.58 [1.49-1.68] among females). In multivariable models, females had a lower risk of readmission for any event (HR, .96 [95% CI, .93-.99]). CONCLUSIONS: In this large, population-based, retrospective study among diabetic patients with index stroke, women had a higher unadjusted death rate but lower unadjusted incidence of MI. In adjusted models, females had a lower death rate compared with males, although the increased risk of MI among males persisted. These findings confirm and quantify sex differences in outcomes after stroke in patients with diabetes

Sex Differences in Outcomes after Stroke in Patients with Diabetes in Ontario, Canada.

BACKGROUND: Outcomes after stroke in those with diabetes are not well characterized, especially by sex and age. We sought to calculate the sex- and age-specific risk of cardiovascular outcomes after ischemic stroke among those with diabetes. METHODS: Using population-based demographic and administrative health-care databases in Ontario, Canada, all patients with diabetes hospitalized with index ischemic stroke between April 1, 2002, and March 31, 2012, were followed for death, stroke, and myocardial infarction (MI). The Kaplan-Meier survival analysis and Fine-Gray competing risk models estimated hazards of outcomes by sex and age, unadjusted and adjusted for demographics and vascular risk factors. RESULTS: Among 25,495 diabetic patients with index ischemic stroke, the incidence of death was higher in women than in men (14.08 per 100 person-years [95% confidence interval [CI], 13.73-14.44] versus 11.89 [11.60-12.19]) but was lower after adjustment for age and other risk factors (adjusted hazard ratio [HR], .95 [.92-.99]). Recurrent stroke incidence was similar by sex, but men were more likely to be readmitted for MI (1.99 per 100 person-years [1.89-2.10] versus 1.58 [1.49-1.68] among females). In multivariable models, females had a lower risk of readmission for any event (HR, .96 [95% CI, .93-.99]). CONCLUSIONS: In this large, population-based, retrospective study among diabetic patients with index stroke, women had a higher unadjusted death rate but lower unadjusted incidence of MI. In adjusted models, females had a lower death rate compared with males, although the increased risk of MI among males persisted. These findings confirm and quantify sex differences in outcomes after stroke in patients with diabetes

熱可塑性ポリウレタンによるポリアミド６およびポリ乳酸の高性能化に関する研究

長崎大学学位論文 [学位記番号]博(生)甲第204号 [学位授与年月日]平成21年9月18

Run-Time Simulation Model for Li-ion Battery using In-Circuit Extracted Mass Transport Parameters

A run-time model for Li-ion battery, which can be modified or updated when the battery is operating in the circuit, based on, in-circuit extraction of required mass transport parameters is presented. The modeling approach is based on the segmented diffusion modeling and in-circuit parameter extraction. Lithium-ion batteries are finding large application demand in many areas and at different power levels. LG18650, 2.6Ah, Li-ion cell is used as the sample cell in the study. A comparison of the model behavior is made with test data obtained from an LG18650 cell. The comparative study between the model behavior and experimental data, for a constant current charge rate and pulse discharge scenario are carried out and the results are presented. An analytical approach for obtaining the expected variation in the capacitance parameter values of the run-time equivalent circuit model, with change in state of charge (SoC) of the battery is arrived at. The percentage root mean square error between the model prediction and experimental data is 0.63% for the run-time simulation at C/10 charge rate

FINITISTIC SPACES IN L-TOPOLOGICAL SPACES

International audienceObservations sous Cour de cassation (com.), 11 janvier 2017, n° 15-17.332 - Qualification de l'arrêt : Importan

A Generic In-Circuit Modeling Approach for Electrochemical Batteries

A modeling approach for the electrochemical batteries, which is suitable for in-circuit parameter extraction is presented. The charge flow in an electrode reaction is governed by the mass transport regime within the cells. For sufficiently higher charge flow rates, the mass transport rate decides the limit. Hence modeling the battery, centered around the mass transport mechanism can have the benefits of dynamic and run-time behavior modeling, using the model parameters extracted from the dynamic in-circuit behavior of the battery. The electrical equivalent circuit model presented, captures the diffusion characteristics and the resulting over potential by way of segment wise diffusion modeling. The number of segments for diffusion modeling is restricted to three, for ease of incircuit computation. The model provides scope for enhancement by addition of coupled behavior with the thermal domain. This modeling method is suitable for a real time model based Battery Management System (BMS). Practical experiments for extracting the model parameters for a lithium-ion LG1850 cell are carried out and the result is analyzed indicating the feasibility of the proposed modeling approach