31 research outputs found

    Pattern of anti-diabetic drugs prescribed for type 2 diabetes mellitus patients in a tertiary care hospital of India: an observational study

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    Background: Type 2 diabetes mellitus (T2DM) is a leading cause of significant morbidity and mortality in developing countries. Evaluation of anti-diabetic drug use pattern guides the healthcare professionals to identify early signals of irrational prescribing and to plan interventions to optimize the benefits of pharmacotherapy.Methods: Observational descriptive study was conducted on 500 prescriptions of T2DM patients collected from Outpatient department of a tertiary care hospital. Prescriptions were analysed for type, number, generic/brand names, fixed dose combinations (FDCs) of anti-diabetic drugs and anti-diabetic drugs prescribed from within National List of Essential Medicines (NLEM) 2015.Results: Average number of anti-diabetic drugs per prescription was 2.5. Of these 49% were from within NLEM and only 39% were prescribed by their generic names. Among all the anti-diabetic groups of drugs used, biguanide (32.85%) was the most frequently prescribed followed by insulins (25.4%) and DPP-4 inhibitors (13.75%). Combined drug therapy was more prevalent than monotherapy (70% versus 30%). Metformin+sitagliptin and metformin+linagliptin were most commonly prescribed fixed dose combinations.Conclusions: Recent trend of anti-diabetic drug use included newer anti-diabetic drugs in combination with metformin to achieve better euglycemia and to minimize complications of T2DM

    Energy-Aware Computation in Mobile Devices

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    The booming of mobile devices and applications has a significant social and economic impact. However, new data intensive applications, which are continuously emerging in daily routines of mobile users, continuously increase the demand for wireless resources. Although bandwidth is traditionally considered as the primary scarce resource in wireless networks, the developments in communication theory shifts the focus from bandwidth to other scarce resources including processing power, energy, memory, and human participation. In this thesis, we specifically focus on processing power and energy bottlenecks of mobile devices, and develop and evaluate energy-aware computation framework using real mobile devices

    Role of <i style="">Rubia cordifolia</i> Linn. in radiation protection

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    620-625The radioprotective potential of alcoholic extract of root of R. cordifolia, was studied by survival, hemopoietic cell protection and micronucleus assay. The LD50 value for the alcoholic root extract was found to be 1200 mg/kg body weight at 72 hr post irradiation. A significant radiation protection (67%) as assessed by increased animal survival was observed when R. cordifolia (RC) extract was administered intraperitoneally, 90 min. before the radiation exposure. Besides, the extract also inhibited radiation induced lipid peroxidation measured by the inhibition of thiobarbituric acid reactive substance (TBARS). The RC extract at a selected dose of 460 mg/kg body weight was effective in protecting the radiation induced suppression of endogenous colony forming units in spleen. A significant inhibition of radiation (2 Gy) induced micronuclei formation was observed when RC extract was administered 90 min prior to irradiation. Thus, it appears that the alcoholic root extract of R. cordifolia provides significant protection against radiation induced lipid peroxidation, hemopoietic injury and genotoxicity. The mechanism of action of RC extract appears to be through its anti-oxidant, metal chelation and anti-inflammatory property

    <span style="font-size: 21.0pt;mso-bidi-font-size:14.0pt;font-family:"Times New Roman","serif"">Effect of <i><span style="font-size:21.5pt;mso-bidi-font-size:14.5pt; font-family:"Times New Roman","serif"">Semecarpus anacardium </span></i><span style="font-size:21.0pt;mso-bidi-font-size:14.0pt;font-family:"Times New Roman","serif"">nuts on lipid peroxidation </span></span>

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    798-801<span style="font-size: 16.0pt;mso-bidi-font-size:9.0pt;font-family:" times="" new="" roman","serif""="">Alcoholic extract of pericarp showed significant protection against FeSO4 induced lipid peroxidation, as compared with whole native nut and seeds. Mechanism of action may be through metal chelation or activation of endogenous antioxidant enzymes, because the ex tract did not show hydroxyl and super oxide anion scavenging property. Further <span style="font-size:15.5pt; mso-bidi-font-size:8.5pt;font-family:" times="" new="" roman","serif""="">in vitro experiments against FeSO4 ,it did not maintain the level of reduced glutathione. </span

    Offline signature verification using geometric and orientation features with multiple experts fusion

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    This paper reports a weighted fusion of multiple classifiers for offline signature verification using geometric and orientation features. The proposed system uses three different classifiers for identity verification, namely, Gaussian empirical rule, Mahalanobis and Euclidean distance metrics. Initially, Geometric global and local features are extracted from signature image. Further, a novel feature extraction technique is applied to signature image for extraction of orientation features. These feature sets are then fused and make a concatenated feature set which is then passed through the three classifiers. Matching scores obtained from these three classifiers are finally fused using weighted sum rule. The proposed system is tested on IIT Kanpur signature database which consists of 1800 offline signatures. The experimental results are found to be convincing and encouraging. The aim of the proposed system is to provide such a system which can overcome the problem of skilled forgery detection efficiently with less computational complexity

    Palmprint verification using Lagrangian decomposition and invariant interest points

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    This paper presents a palmprint based verification system using SIFT features and Lagrangian network graph technique. We employ SIFT for feature extraction from palmprint images whereas the region of interest (ROI) which has been extracted from wide palm texture at the preprocessing stage, is considered for invariant points extraction. Finally, identity is established by finding permutation matrix for a pair of reference and probe palm graphs drawn on extracted SIFT features. Permutation matrix is used to minimize the distance between two graphs. The propsed system has been tested on CASIA and IITK palmprint databases and experimental results reveal the effectiveness and robustness of the system
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