DEVELOPMENT OF HPLC STABILITY DEMONSTRATING METHODOLOGY FOR QUANTIFYING AZELNIDIPINE AND TELMISARTAN IN TABLETS AND BULK TYPES: VALIDATION FOLLOWING ICH DIRECTIVES

Objective: Azelnidipine (AZEL) and Telmisartan (TELM) combination is referred to the sufferers of hypertension. No analytical process has yet been mentioned for the TELM and AZEL combination analysis. We, therefore, have designed for its first time stability demonstrating methodology based on HPLC for analysing TELM and AZEL in the tablets and bulk. Methods: The assay of TELM and AZEL was get done on a 250 mm length C18 column (Supelco, 4.6 mm inner diameter, 5.0 μm particle size), and utilized 0.1M Na2SO4 (pH 3.6) and acetonitrile (55% volume:  45% volume) as the mobile solvents phase, at a stream rate 1.0 ml/min. HPLC recognition of TELM and AZEL was taken by a photodiode array sensor set at 258 nm. For validation of the stability demonstrating methodology proposed in terms of sensitivity, precision, specificity, linearity, device adequacy, robustness and accuracy, ICH directives were followed. Results: Calibration curves of TELM and AZEL were generated in the array of 20-60 µg/ml and 4-12 µg/ml with recovery percentage ranges of 99.62%-101.05% and 97.76%-100.17%, and detection limits of 0.020 µg/ml and 0.009 µg/ml, respectively. TELM and AZEL stability was inspected in the existence of acid, base, light, heat, and oxidation and it was realised to be more stable under oxidation degradation testing conditions employed when compared to acid, alkaline, photo, and heat degradation testing conditions applied. Conclusion: The observations demonstrated that the described HPLC stability demonstrating methodology was suitable for quantitating TELM and AZEL combination in tablets and bulk

DEVELOPMENT AND VALIDATION OF NEW RP-UPLC METHOD FOR THE DETERMINATION OF CEFDINIR IN BULK AND DOSAGE FORM

Objective: The objective of the study was to develop and validate a new rapid and sensitive reverse phase ultra-performance liquid chromatographic (RP-UPLC) method for determination of cefdinir in bulk drug and dosage form.Methods: Separation was achieved with an Acquity SB C18 (100 × 2 mm) 1.8μm column with an isocratic mobile phase containing a mixture of orthophosphoric acid and acetonitrile (60:40 v/v) and pH adjusted to 2.8. The flow rate of the mobile phase was 0.3 ml/min with a column temperature of 30 °C and detection wavelength at 285 nm.Results: The method was validated with respect to linearity, accuracy, precision, detection limits, robustness and specificity. The precision of the results, stated as the relative standard deviation was below 1.5%. The calibration curve was linear over a concentration range from 25 to 150μg/ml with a correlation coefficient of 0.9993. The accuracy of the method demonstrated at three levels in the range of 50%, 100% and 150% of the specification limit. The recovery of cefdinir was found to be in the range of 98 to 102%, whereas the detection limits were found to be 0.17 and 0.51µg/ml. Forced degradation study was carried out under acidic, alkaline, oxidative, photolytic and thermal conditions to prove the stability-indicating ability of the developed UPLC method.Conclusion: The developed method was validated with respect to linearity, accuracy, precision limit of detection and quantification, robustness and specificity. The method was applied successfully for the determination of cefdinir in tablets

Sales Management Portal

The main motive behind this project is the combination of Sales Management Portal and Job searching portal. In this project the client, user, job seeker, investors and the companies can communicate each other using this portal. Manager, HR will update the Project information like budget, revenue, type, proposal and how many opportunities are available based on the project to the job seekers. And people also can be the part of the project by investing on the project as a shareholder. Manager and HR have the authorities to add the client details in the portal. The includes many aspects like Company name, Address, division, industry type, website of the company, Contact details of the HR, the main proposal of the project, opportunities, budget, revenue, duration of the project, deadline of the project etc. This user can login to the website and be the part of the Project for a particular company. Job seekers also can login and contact the HR for the job details. They also can submit the employment application form to the companies through online. Investors will get the updates about their share values which were invested in the company. Many Multi-National Companies can directly interact to their clients through this portal. And there is lot of scope to the companies to get more investors and clients. The job seekers also can easily get the appropriate jobs without wasting the time for job search and they really can achieve the growth in their career. This is the one place where many people can get the opportunities. This is the right place for everyone for their growth in all sectors. Choose the right path for the growth of your career and organization too. The main goal of this project is to make the companies, clients, job seekers and users to reach mutual grow professionally in one place

Outcomes of Patients Hospitalized with Community-Acquired Pneumonia with Liver Disease or Cirrhosis.

Introduction: Liver disease and cirrhosis are common causes of mortality worldwide. Community-acquired pneumonia is recognized as a significant cause of morbidity and mortality in this population of adults. There is a lack of data regarding outcomes or prognosis in patients with liver dysfunction who develop CAP. The objective of this study was to evaluate the clinical characteristics, incidence, and outcomes of hospitalized patients with CAP and liver disease. Methods: This was a secondary analysis of the University of Louisville Pneumonia Study, which was a prospective population-based cohort study of adults hospitalized with community-acquired pneumonia. All patients were divided into three groups: 1) patients without liver disease, 2) patients with liver disease, and 3) patients with cirrhosis. Short and long-term outcomes were analyzed. Results: Among 9,201 patients, 8,566 patients did not have liver disease, 515 patients had liver disease, and 120 patients had cirrhosis. The median age of patients with liver disease or cirrhosis was approximately 10 years younger than the median age of overall population, and a higher proportion was admitted directly to the ICU. Compared to patients without liver disease, we found no significant difference in time to clinical stability for patients with liver diseases (adjusted hazard ratio [aHR] 1.01 [95% CI 0.92–1.12]; P=0.790) or cirrhosis (aHR 0.85 [95% CI 0.69–1.05]; P=0.127). There were also no differences in median length of stay (LOS) between any two groups. Patients with cirrhosis had a 35% higher risk of death at any time compared to patients with no liver disease (aHR 1.35 [95% CI 1.00–1.82]; P=0.049) but did not have significantly increased risk compared to patients with liver disease (aHR 1.37 [95% CI 0.97–1.93], P=0.070). Conclusion: In this study of hospitalized adults with CAP, patients with cirrhosis had a significantly higher risk of death compared to patients without liver disease

A Mathematical Basis for the Chaining of Lossy Interface Adapters

Despite providing similar functionality, multiple network services may require the use of different interfaces to access the functionality, and this problem will only get worse with the widespread deployment of ubiquitous computing environments. One way around this problem is to use interface adapters that adapt one interface into another. Chaining these adapters allows flexible interface adaptation with fewer adapters, but the loss incurred due to imperfect interface adaptation must be considered. This paper outlines a mathematical basis for analyzing the chaining of lossy interface adapters. We also show that the problem of finding an optimal interface adapter chain is NP-complete.Comment: 22 pages, 6 figure

A novel frameshift variant in BCOR causes congenital nuclear cataract

BackgroundBCL6 co-repressor (BCOR) gene variants are involved in oculofaciocardiodental (OFCD) syndrome, acute myeloid leukaemia, renal tumours, and photoreceptor degenerative diseases. Here, we describe a British family with a pathogenic heterozygous variant in the BCOR gene causing congenital nuclear cataract.MethodsWhole-exome sequencing was conducted on an individual affected by X-linked dominant congenital cataract in a three-generation family to establish the underlying genetic basis. Bioinformatics analysis confirmed the variants with damaging pathogenicity scores.ResultsA novel likely pathogenic frameshift variant BCOR NM_001123385.1: c.3621del; p.Lys1207AsnfsTer31, was identified and found to co-segregate with the disease in this family.ConclusionsThis is apparently the first report of a variant in BCOR causing X-linked dominant congenital cataract which is potentially isolated or presenting with a remarkably mild systemic phenotype. Our findings extend the genetic basis for congenital cataract and add to the phenotypic spectrum of BCOR variants

Diagnosing and measuring incompatibilities between pairs of services

International audienceThis text presents a tool, from its design to its implementation, which detects all behavioural incompatibilities between two service interfaces. Unlike prior work, the proposed solution does not simply check whether two services are incompatible or not, it rather provides detailed diagnosis, including the incompatibilities and for each one the location in the service interfaces where these incompatibilities occur. A measure of similarity between interfaces which considers outputs from the detection algorithm is proposed too. A visual report of the comparison analysis is also provided which pinpoints a set of incompatibilities that cause a behavioural interface not to simulate another one

Automatic service categorisation through machine learning in emergent middleware

The modern environment of mobile, pervasive, evolving services presents a great challenge to traditional solutions for enabling interoperability. Automated solutions appear to be the only way to achieve interoperability with the needed level of flexibility and scalability. While necessary, the techniques used to determine compatibility, as a precursor to interaction, come at a substantial computational cost, especially when checks are performed between systems in unrelated domains. To overcome this, we apply machine learning to extract high-level functionality information through text categorisation of a system's interface description. This categorisation allows us to restrict the scope of compatibility checks, giving an overall performance gain when conducting matchmaking between systems. We have evaluated our approach on a corpus of web service descriptions, where even with moderate categorisation accuracy, a substantial performance benefit can be found. This in turn improves the applicability of our overall approach for achieving interoperability in the Connect project