The Pharmacokinetics and Pharmacodynamics of Calcium Antagonist Drugs in Cardiovascular Disease - Influence of Age, Disease State and Renal Function

This thesis has investigated several aspects of the clinical pharmacology of calcium antagonist drugs

A significant hepatotoxicity associated with paracetamol overdose in the absence of kidney injury in rabbits

Background: Overdose of paracetamol (PCM) is reported to cause hepatotoxicity and nephrotoxicity, or nephrotoxicity in absence of hepatotoxicity. This study was planned to investigate hepatotoxicity or nephrotoxicity induced by PCM.Methods: Two groups of rabbits, six rabbits in each were used; control group were treated with normal saline, the second group was treated with PCM 1 g/kg/day orally for 9 days.Results: PCM lead to a significant rise in serum liver enzymes, aspartate aminotransferase, alanine transaminase, alkaline phosphatase and total bilirubin with an increase in serum level of malondialdehyde (MDA) and reduction in serum glutathione (GSH). MDA level in liver homogenate was also significantly increased. These findings were further confirmed by histopathological changes suggestive of severe liver damage. On the contrary, PCM slightly increased serum creatinine, without changing MDA and GSH in kidney homogenate. Lack of PCM nephrotoxicity was further confirmed by histopathological examination.Conclusion: PCM overdose produced severe hepatotoxicity without affecting the kidneys of the rabbit

Analysis of Trajectories by Preserving Structural Information

The analysis of trajectories from traffic data is an established and yet fast growing area of research in the related fields of Geo-analytics and Geographic Information Systems (GIS). It has a broad range of applications that impact lives of millions of people, e.g., in urban planning, transportation and navigation systems and localized search methods. Most of these applications share some underlying basic tasks which are related to matching, clustering and classification of trajectories. And, these tasks in turn share some underlying problems, i.e., dealing with the noisy and variable length spatio-temporal sequences in the wild. In our view, these problems can be handled in a better manner by exploiting the spatio-temporal relationships (or structural information) in sampled trajectory points that remain considerably unharmed during the measurement process. Although, the usage of such structural information has allowed breakthroughs in other fields related to the analysis of complex data sets [18], surprisingly, there is no existing approach in trajectory analysis that looks at this structural information in a unified way across multiple tasks. In this thesis, we build upon these observations and give a unified treatment of structural information in order to improve trajectory analysis tasks. This treatment explores for the first time that sequences, graphs, and kernels are common to machine learning and geo-analytics. This common language allows to pool the corresponding methods and knowledge to help solving the challenges raised by the ever growing amount of movement data by developing new analysis models and methods. This is illustrated in several ways. For example, we introduce new problem settings, distance functions and a visualization scheme in the area of trajectory analysis. We also connect the broad fild of kernel methods to the analysis of trajectories, and, we strengthen and revisit the link between biological sequence methods and analysis of trajectories. Finally, the results of our experiments show that - by incorporating the structural information - our methods improve over state-of-the-art in the focused tasks, i.e., map matching, clustering and traffic event detection

Design automation with the characteristics properties model and the property driven design for redesign

This paper presents a framework consisting of a mathematical model and an algorithm for representation, analysis and exploration of the design space in redesign problems. The framework develops and extends the existing formalism of the Characteristics Properties Model (CPM) and Property Driven Design (PDD). A platform independent quantitative model based on formal log-ic is presented to map the characteristics and properties, as well as the relations and dependencies between them, along with solution conditions. The model is based on generalization of existing mathematical design models and is support-ed by the development of an algorithm enabling property driven design. The re-sulting framework offers a rich and flexible syntax and vocabulary along with a mathematical and computational tool applicable to mechanical product design

Set-based design of mechanical systems with design robustness integrated

This paper presents a method for parameter design of mechanical products based on a set-based approach. Set-based concurrent engineering emphasises on designing in a multi-stakeholder environment with concurrent involvement of the stakeholders in the design process. It also encourages flexibility in design through communication in terms of ranges instead of fixed point values and subsequent alternative solutions resulting from intersection of these ranges. These alternative solutions can then be refined and selected according to the designers’ preferences and clients’ needs. This paper presents a model and tools for integrated flexible design that take into account the manufacturing variations as well as the design objectives for finding inherently robust solutions using QCSP transformation through interval analysis. In order to demonstrate the approach, an example of design of rigid flange coupling with a variable number of bolts and a choice of bolts from ISO M standard has been resolved and demonstrated

Efficient Method Cloud Point Extraction for Separation Preconcentration and Trace amount Determination of Bismuth (III) from Different Samples by New Laboratory Prepared Azo Derivative

By cloud point extraction methodology extracted Bi (III) after produced ion association complex with new laboratory prepared azo derivative AMIBSHA,in presence non-ionic surfactant Tritonx-100, the experiments show complex formation performed at pH=9 and heating for 20 minute at 90°C, the research involved determination all optimum values effect on the extraction efficiency, in addition to thermodynamic study and stoichiometry as well as interferences studies and electrolyte effect. With spectrophotometric determination in different samples. With detection limit =(7.764×10-7µg.mL-1) and Sandell’s sensitivity (9.749×10-10µg.cm-2) and ? = 21480.8 L.mol-1.cm-1and RSD% =0.00541. Keywords:Bismuth(III) , Cloud point layer ,Tritonx-100.

Cloud computing and IoT integration for health checking system

With the raise of technologies in the fourth industry revolution, Internet of things appeared as an emerging technology, especially, in the healthcare industry. The cloud computing as a main section of IoT structure can be a great integration to get more benefits to provide healthcare for our society. In this paper, researchers more concentrated on individuals and autonomous extension of solitary strategies, with less emphasis on patient monitoring. While the main aim of technology management of healthcare information systems has been accomplished throughout the proposed combination of Internet of Things and Cloud Computing in the context of medical profession. A low-cost, secure, and trusted healthcare tracking system that offers real-time monitoring dashboard for biological indicator has been proposed. The utilization of this integration to track and control health system was applied, thus, a remotely controlled platform based on the cloud computing design paradigm has been developed in the field of health information, while an efficient algorithms in future hospital cloud service and monitoring system implementations have examine and evaluate this design. A CloudSim simulation results showed that the proposed algorithm revealed better results from analogue anneals algorithm and ant colony optimal design with an improvement of 40% in the system efficiency. Therefore, the integrated proposed algorithm is of an importance to be developed and could be applied to non-coordinate system to improve solutions to the optimization and scattering

Comparison of Functional Outcomes in Terms Of Post-Operative Mobility for Unipolar Versus Bipolar Un-Cemented Hemiarthroplasty in Elderly Patients with Displaced Intracapsular Femoral Neck Fractures

Objective: To compare of functional outcomes in terms of post-operative mobility for unipolar versus bipolar un-cemented hemiarthroplasty in elderly patients with displaced intracapsular femoral neck fractures. Methodology: Our study design is Randomized Control Trialconducted inDepartment of Orthopedics Bahawal Victoria Hospital, Bahawalpur. April 2015 to October 2016.Sample size is (calculated by taking n6 =138, confidence interval 95, power of study 80, P1= 33%, P2=13%) 69 in each group. Sampling technique used was non probability consecutive sampling. All patients who meet the inclusion criteria presenting to orthopedic unit of Nishtar Hospital Multan with fracture neck of femur were selected for study. Patients were divided into two groups randomly by lottery method and enrolled for unipolar or bipolar hemiarthroplasty. Chi-square test was used to compare outcome variable in both groups. A p-value < 0.05 was considered statistically significant. Effect modifiers like age and sex was controlled by stratification. Chi square test was applied to see significant difference. Results: Overall, there were 100% (n=138) patients in this study, both genders. The mean age of the patients was 66.35±4.29 years. (Range: 60 to 80years) Mean age and SD of group A (no walking aid) was 54.52 ± 3.10 and in group B (walking aid) 54.99 ± 3.19. Time up go score was noted as successful 33.3% (n=46) and 66.7% (n=92) as unsuccessful. Walking aid was noted in 65.2% (n=90) patients. Functional outcome was noted as good in 26.8% (n=37) patients and noted as bad in 73.2% (n=101) patients. Out of 100% (n=38) patients, good outcome was 26.3% (n=10) unipolar and 73.7% (n=28) bipolar. Out of 100% (n=100) Bad outcome was 59% unipolar and bipolar 41%. Conclusion: Functional outcome in term of mobility is better in case of bipolar prosthesis as compared to unipolar. Thus in our conclusion bipolar prosthesis is preferred procedure as compared to unipolar hemiarthroplasty in treating patients with displaced intracapsular femoral neck fracture. Keywords:Bipolar Hemiarthroplasty, Unipolar Hemiarthroplasty, Displaced intracapsular femoral neck fractures

Tolerance analysis approach based on the classification of uncertainty (aleatory / epistemic)

Uncertainty is ubiquitous in tolerance analysis problem. This paper deals with tolerance analysis formulation, more particularly, with the uncertainty which is necessary to take into account into the foundation of this formulation. It presents: a brief view of the uncertainty classification: Aleatory uncertainty comes from the inherent uncertain nature and phenomena, and epistemic uncertainty comes from the lack of knowledge, a formulation of the tolerance analysis problem based on this classification, its development: Aleatory uncertainty is modeled by probability distributions while epistemic uncertainty is modeled by intervals; Monte Carlo simulation is employed for probabilistic analysis while nonlinear optimization is used for interval analysis.“AHTOLA” project (ANR-11- MONU-013