Treatment of Vasculitis: Beyond the Basics

Vasculitis is the inflammation of blood vessels in the human body. It causes changes and remodeling in the walls of the vessels that include thickening, narrowing and scarring. As a result, the blood flow to the organs and tissues gets restricted leading to organ damage. The cause of primary vasculitis is not known; however, most cases are thought to be autoimmune. In the present era, it is getting difficult to treat vasculitis with conventional therapies, which includes cyclophosphamide, methotrexate, azathioprine and mycophenolate mofetil, with increasing rates of relapses. Since ever, corticosteroids and cytotoxic agents or immunosuppressants have been the mainstay for treating systemic vasculitis. However, the introduction of newer biological agents have bring about a revolution in the treatment of relapses and in cases where there is failure to induce and sustain remission

Re-Conceptualizing 'Rational Expectancy' Through; Evolutionary Psychology, Anthropology, Behavioral Genetics and Neuropsychology

The basic objective of writing this paper is to re-conceptualize the concept of 'Rational Expectancy' in postmodernism. Based on the convergence of four sources of scientific research this paper will try to re-conceptualize the concept of 'Rational Expectancy': Evolutionary psychology is basically the other name of modern Darwinism, evolutionary psychologists do not argues that all human are alike underneath; Anthropology (Study of past & present) Darwinian anthropologist have identified cultural universals with regards to gender relations, art and ritual, language and thought, and trading and competition; Behavioral Genetics, Scientists have identified several genes thought to control human dispositions including the aspects of temperament and cognitive behavior; Neuropsychology Scientists in this field try to understand which part of brain control emotions and how chemicals in the brain affect thoughts and sensations. In postmodernism evolutionary psychology help us in understanding the dynamics in human behavior and anthropology tells us how hardwired is human behavior. An individual' rational expectancy is based on his composition of behavioral genetics and unique neurological networks& modules. The knowledge management has provided the concept of 'Knowledge Worker', the one who use his 'Heart' 'Head' and 'Hand' not only for the discovery of knowledge but also for the delivery of knowledge. Moreover, the Service Science of IBM uses the concept of 'Actors', the one who use his knowledge and skills for the benefits of others

Visual and treatment outcomes of tubercular uveitis: a prospective case series from a referral hospital in Pakistan

Objective: Pakistan is the fifth highest TB burden country. Tuberculous uveitis (TbU) is a form of extrapulmonary TB, that is not uncommon in high burden country but very limited data is available on its outcome. The aim of the study is to assess the outcome of TbU with anti-tuberculous treatment (ATT). Results: A prospective study was conducted at Jinnah Medical College Hospital (JMCH) Karachi, Pakistan from July to December 2017. Patients with suspected TbU were started on standard ATT chemotherapy for 12 months. Their response was assessed via slit lamp examination and visual acuity at 1, 3, 6 and 12 months of treatment. Forty patients with probable TbU were treated with ATT, mean age was 36 ± 3 years and 24 (60%) were females. Around 26 (65%) had Monteux test of 15 mm or more. History of TB contact was positive in 24 (60%) and 12 (30%) had previous history of TB. All patients complained for blurring of vision and floaters. Posterior uveitis seen in 36 (90%) of patients. Complete response achieved in 32 (80%) after ATT while 6 (14%) had changed in inflammation and 2 (6%) had no benefit

Introducing dynamic distributed coordination in web services for next generation service platform

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FABRICATION AND EVALUATION OF SMART NANOCRYSTALS OF ARTEMISININ FOR ANTIMALARIAL AND ANTIBACTERIAL EFFICACY

Background: Nanocrystals have the potential to substantially increase dissolution rate, solubility with subsequent enhanced bioavailability via the oral route of a range of poor water soluble drugs. Regardless of other issues, scale up of the batch size is the main issue associated with bottom up approach. Material and Methods: Smart nanocrystals of artemisinin (ARM) was produced relatively at large batch sizes (100, 200, 300 and 400ml) compared to our previously reported study by (Shah, et al., 2016). ARM nanosuspensions/nanocrystals were characterised using zeta sizer, SEM, TEM, DSC, PXRD and RP-HPLC. The nanosuspensions were finally subjected to in vitro antimalarial and antimicrobial activity. Results: The average particle size (PS) for 400 ml batches was 126.5 ±1.02 nm, and the polydispersity index (PI) was 0.194 ± 0.04. The saturation solubility of the ARM nanocrystals was substantially increased to (725.4± 2.0 μg/ml) compared to the raw ARM in water 177.4± 1.3 μg/ml and stabilizer solution (385.3± 2.0 μg/ml). The IC50 value of ARM nanosuspension against P. vivax was 65 and 21 folds lower than micronized 19.5 ng/mL and unprocessed drug (6.4 ng/mL) respectively. The ARM nanosuspension was found highly effective compared to unprocessed drug against all the tested microorganism except E. coli, Shigella and C. albican. Conclusion: The simple precipitation-ultrasonication approach was efficiently employed for fabrication of ARM nanosuspension to scale up the batch size. Similarly, the solubility, antimalarial potential and antimicrobial efficacy of ARM in the form of nanosuspension were significantly enhanced. Findings from this study can persuade research interest for further comprehensive studies using animals model

Investigation of anti-nociceptive, anti-inflammatory potential and ADMET studies of pure compounds isolated from Isodon rugosus Wall. ex Benth

The strong ethnopharmacological utilization of Isodon rugosus Wall. Ex. Benth is evident in the treatment of several types of pain and inflammation, including toothache, earache, abdominal pain, gastric pain, and generalized body pain and inflammation. Based on this background, the antinociceptive effects of the crude extract, various fractions, and essential oil have been reported previously. In this research work, we isolate and characterize pure bioactive compounds from I. rugosus and evaluate possible mechanisms using various in vivo and in vitro models. The pure compounds were analyzed for analgesic and anti-inflammatory activities through various assays. The column chromatography of the chloroform fraction of I. rugosus led to the identification of two pure compounds, i.e., 1 and 2. Compound 1 demonstrated notable inhibition (62% writhing inhibition, 72.77% COX-2 inhibition, and 76.97% 5-LOX inhibition) and anti-inflammatory potential (>50% paw edema inhibition at various intervals). The possible mechanism involved in antinociception was considered primarily, a concept that has already been elucidated through the application of naloxone (an antagonist of opioid receptors). The involvement of adrenergic receptors was investigated using a hot plate model (an adrenergic receptor antagonist). The strong ethnomedicinal analgesic background of I. rugosus, supported by previous reports and current observations, leads to the conclusion that I. rugosus is a potential source of antinociceptive and anti-inflammatory bioactive compounds. It may be concluded from the results that the isolated analgesic compounds of I. rugosus may be a possible alternative remedy for pain and inflammation management with admirable efficacy and safety profiles

Modeling performance of internet-based services using causal reasoning

The performance of Internet-based services depends on many server-side, client-side, and network related factors. Often, the interaction among the factors or their effect on service performance is not known or well-understood. The complexity of these services makes it difficult to develop analytical models. Lack of models impedes network management tasks, such as predicting performance while planning for changes to service infrastructure, or diagnosing causes of poor performance. We posit that we can use statistical causal methods to model performance for Internet-based services and facilitate performance related network management tasks. Internet-based services are well-suited for statistical learning because the inherent variability in many factors that affect performance allows us to collect comprehensive datasets that cover service performance under a wide variety of conditions. These conditional distributions represent the functions that govern service performance and dependencies that are inherent in the service infrastructure. These functions and dependencies are accurate and can be used in lieu of analytical models to reason about system performance, such as predicting performance of a service when changing some factors, finding causes of poor performance, or isolating contribution of individual factors in observed performance. We present three systems, What-if Scenario Evaluator (WISE), How to Improve Performance (HIP), and Network Access Neutrality Observatory (NANO), that use statistical causal methods to facilitate network management tasks. WISE predicts performance for what-if configurations and deployment questions for content distribution networks. For this, WISE learns the causal dependency structure among the latency-causing factors, and when one or more factors is changed, WISE estimates effect on other factors using the dependency structure. HIP extends WISE and uses the causal dependency structure to invert the performance function, find causes of poor performance, and help answers questions about how to improve performance or achieve performance goals. NANO uses causal inference to quantify the impact of discrimination policies of ISPs on service performance. NANO is the only tool to date for detecting destination-based discrimination techniques that ISPs may use. We have evaluated these tools by application to large-scale Internet-based services and by experiments on wide-area Internet. WISE is actively used at Google for predicting network-level and browser-level response time for Web search for new datacenter deployments. We have used HIP to find causes of high-latency Web search transactions in Google, and identified many cases where high-latency transactions can be significantly mitigated with simple infrastructure changes. We have evaluated NANO using experiments on wide-area Internet and also made the tool publicly available to recruit users and deploy NANO at a global scale.Ph.D.Committee Co-Chair: Ammar, Mostafa; Committee Co-Chair: Feamster, Nick; Committee Member: Gray, Alexander; Committee Member: Willinger, Walter; Committee Member: Zegura, Elle

Metallographic study of end plates of a damaged Pakistani fuel bundle irradiated atKarachinuclear power plant (Kanupp)

The various post irradiation examinations were carried out at Pakistan Institute of Nuclear Science and Technology (PINSTECH) for the first time in 1991 -93 on a fuel bundle which was fabricated in Pakistan and was irradiated at Karachi Nuclear Power Plant (KANUPP) up to a maximum burn-up of 6947 MWD/TeU. This bundle had its end plates in damaged condition. Attempts were made to determine the cause of their damage during microstructural study of the material. Therefore metallographic examinations were carried out in great detail. The measurements of oxide layer thickness and hydride concentrations were main areas of study. The study revealed the hydridation and severe oxidation effect on the end plate material. There was found to be an increase in the concentration of radial hydrides which might have resulted in the embrittlement of material and thus caused the failure of end plates