RESULTS & DISCUSSIONS PREFORMULATION: S.NO API CHARACTERISATION RESULTS 1 Physical Appearance Mycophenolate mofetil white to off-white crystalline powder 2 Melting point 93-94ºC 3 solubility Freely soluble in acetone, soluble in methanol, and sparingly soluble in ethanol. Table 3: Characterization of API Calibration Curve of Mycophenolate mofetil: Calibration Curve of Mycophenolate mofetil in pH 7.4 PBS Solvent pH 7.4 phosphate buffer Saline (PBS) Wave length 253 nm Unit for concentration mcg/mL Table 4: parameters for Calibration curve Table 5: Calibration data of Mycophenolate mofetil in pH 7.4 PBS S.NO Concentration (mcg/mL) Absorbance 1 0 0 2 2 0.185 3 4 0.345 4 6 0.526 5 8 0.722 6 10 0.907 Calibration Curve of Mycophenolate mofetil: …show more content…
The Mycophenolate mofetil containing nanoparticle was constantly agitated during the dissolution test, collisions among MNP could first disintegrate the structure of the polymer layer. The subsequent fluidic shear devastated the particulate surfaces and caused the release of a drug. As indicated in (Table 7) the cumulative percentage of Mycophenolate mofetil released in the initial 2-4 hr was minor. This suggested that the current formulation could prevent the drugs from the initial burst release. As revealed in (figure 13), the rate of a drug released from MNP was pretty smooth. This suggested that the spatial distribution of the drugs confined could be quite …show more content…
The regression coefficient value of zero order kinetic plot was found to be 0.974 and the slope was found to be 3.862 (figure 14). Figure 14: Zero order plot for Optimized formula First order kinetics plot: Here the graph is plotted between log cumulative percent drug remaining Vs time. Regression coefficient is calculated and interpreted. The regression coefficient value of this plot was found to be 0.955 and the slope was found to be 0.046 (figure15). Figure 15: First order plot for Optimized formula Higuchi model: In this model, graph is plotted between cumulative percent drug released Vs square root of time. Regression coefficient and slope values are calculated and interpreted. The regression coefficient value of this plot was found to be 0.972 and the slope was found to be 20.39 (figure 16). Figure 16: Higuchi plot for Optimized formula Koresmeyer peppas model: In this model, graph is plotted between log cumulative percent drug released Vs log time. Regression coefficient and slope values are calculated and interpreted. The regression coefficient value of this plot was found to be 0.984 and the slope was found to be 0.699 (figure
4.1.6 Flip ops as Counters As can be seen from Figure 4.7 and Figure 4.8, a T-FF can be implemented using a D- FF feeding back the negate output /Q to the input D. The input clock to be divided is then provided at the CLK input. Cascading n T-FF stages as shown in Figure 4.8, it is 26 possible to divide the input frequency by a factor of 2^n . Based on current requirement Figure 4.7: FlipFlop of IC, size and availability and operating temperature, the rst combination which is the cascade of divide-by-4, divide-by-10 and divide-by-10 is chosen. The ip op as divide by 4, 10, 40 etc have been simulated with ADS.
The design relied on two Schmitt triggers to generate the two different tones while using the transistors to act as a switch. This causes it to trigger continuously between two unstable states, allowing automatic switching between two frequencies producing two different tones. The RC values between the two Schmitt triggers will differ. Capacitors charge and discharge faster when it’s resistance is smaller.
III SYNTHESIS AND SIMULATIONS RESULTS The simulation and synthesis work is finally done by the xilinix and modelsim respectively. Figure 5:synthesis results of Fault FFT. The figures intimate the fault injected FFT,which is checked by the manual error injected via all diferent possibilities by using RTL scripting. Eventhough the soft error is added in the FFT the error detector code 100% detect the errors and corrector correct the errors.
V. EXPERIMENTAL SETUP & RESULTS The proposed dual T-NPC, dual PMSM topology and its modulation and control strategy are evaluated on an experimental setup as shown in Fig. 13. The experimental setup consists of two three-level T-NPC inverters feeding a dual three-phase 16 pole PMSM. The following capabilities of the proposed topology have been validated: 1) balancing DC-link voltages, 2) reduced output current distortion and 3) reducing capacitor RMS current.
%% Init % clear all; close all; Fs = 4e3; Time = 40; NumSamp = Time * Fs; load Hd; x1 = 3.5*ecg(2700). ' ; % gen synth ECG signal y1 = sgolayfilt(kron(ones(1,ceil(NumSamp/2700)+1),x1),0,21); % repeat for NumSamp length and smooth n = 1:Time*Fs '; del = round(2700*rand(1)); % pick a random offset mhb = y1(n + del) '; %construct the ecg signal from some offset t = 1/
Semester 1 Extra Credit for Unit 1 Test: Ch. 31 Diffraction and Interference The idea that wave fronts from light are made up of tinier wave fronts was originated from the Dutch mathematician and scientist Christian Huygens. Every point acts like a new source of waves from the light. Huygens’ principle states that every point on any wave front can be regarded as a new point source of light.
1. Identify the range of senses involved in communication • Sight (visual communication), Touch (tactile communication), Taste, Hearing (auditory communication), Smell (olfactory communication) 2. Identify the limited range of wavelengths and named parts of the electromagnetic spectrum detected by humans and compare this range with those of THREE other named vertebrates and TWO named invertebrates. Figure 1: the electromagnetic spectrum source: www.ces.fau.edu Vertebrates Human Japanese Dace Fish Rattlesnake Zebra Finch Part of electromagnetic spectrum detected ROYGBV (visible light) detected by light sensitive cells in the eye called rods and cones.
Typical sample dimensions 9.51 × 4.83 mm2in surface area and1.58 mm in thickness were coated with conductive silver paint formetallic contacts. The dielectric constant of the sample was mea-sured for the applied frequency that varies from 100 Hz to 1 MHz atdifferent temperatures (40◦C, 60◦C, 80◦C). The observations weremade while cooling the sample. The dielectric constant εrwas cal-culated using the relation, εr =
\section{Facility Static and Dynamic Control}\label{Calibr} The facility calibration is the transfer function between the oscillating gauge pressure $P_C(t)$ in the chamber (described in ~\autoref{Sub31}) and the liquid flow rate $q(t)$ in the distributing channel, i.e. the test section. Due to practical difficulties in measuring $q(t)$ within the thin channel, and being the flow laminar, this transfer function was derived analytically and validated numerically as reported in ~\autoref{Sub32} and ~\autoref{Sub33}. \subsection{Pressure Chamber Response}\label{Sub31} Fig.\ref{fig:2a} shows three example of pressure signals $P_C(t)$, measured in the pneumatic chamber.
Tn 4351 was originally isolated from bacteroides fragilis [30] . The transposon was successfully introduced into Cytophaga succinicans, Flavobacterium meningosepticum, Flexibacter canadiansis, Flexibacter strain SFI and Sporocytophaga myxococcoides by conjugation [25]. Tn 4351carries two antibiotic resistance gene. One of the codes for resistance to erythromycin and clindamycin which is expressed in bactroides but not in E.Coli. The other gene codes for resistance in tetracycline and is expressed in aerobically grpwn E. coli, but not in anaerobically grpwn E. coli or in bacteroides.
2.60×10-3 56 5.25×10-5 59 9.50×10-3 58 5.31×10-7 60 3.23×10-3 57 1.20×10-5 60 5.02×10-4 58 -l0g A1= 10-8=8 -log A2= 10-7=7 -LOG A3= 10-6=6 -log A4= 10-10=10 (ECR) For Drug1 = ED 50 (A1)/Control = 3/3=1 E.CR For Drug 2= ED 50 (A2)/ control = 6/3=2 E C R for drug 3 = ED50 (A3) = 9/3=3 Log (ECR1-1) =1 Log (ECR2-1) = 2 Log (ECR3-1)
III. ACCELEROMETER AND ITS WORKING PRINCIPLE A. Working of Accelerometer Sensor Accelerometer sensor is used to measure the acceleration. Acceleration is the amount of force we need to move each unit of mass. Newton’s second law of motion relates the force, mass and acceleration through this equation: F=ma F=Force m=mass a= acceleration due to gravity Fig. 2 Accelerometer schematic diagram This Newton’s equation is the theory behind accelerometers.
According to a study by Lamm et al. on preparation for chemotherapy treatments, “472 preparations had a complete time–motion data analysis log and thus were included in the study. The mean turnaround time for all chemotherapy preparations decreased from 60 to 44 minutes” (1141). The decrease in time is more sufficient to the patient’s life and the treatment’s overall
To assess drug effect such as adverse effect, biomarkers, change tumor burden or any similar biological outcome the PK model will be modified including a PD measurements. To test the drivers of specific PD response various PD descriptors are used – maximum concentration (Cmax) as fixed time point descriptor,
OCULAR MORBIDITY AMONG AUTO MECHANICS AT SUAME –MAGAZINE AREA IN THE KUMASI METROPOLIS ABSTRACT Purpose: To determine the prevalence of ocular conditions among auto mechanics at ‘Suame –Magazine’ area in the Kumasi metropolis.