2,793 research outputs found

    Facilitating sensor interoperability and incorporating quality in fingerprint matching systems

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    This thesis addresses the issues of sensor interoperability and quality in the context of fingerprints and makes a three-fold contribution. The first contribution is a method to facilitate fingerprint sensor interoperability that involves the comparison of fingerprint images originating from multiple sensors. The proposed technique models the relationship between images acquired by two different sensors using a Thin Plate Spline (TPS) function. Such a calibration model is observed to enhance the inter-sensor matching performance on the MSU dataset containing images from optical and capacitive sensors. Experiments indicate that the proposed calibration scheme improves the inter-sensor Genuine Accept Rate (GAR) by 35% to 40% at a False Accept Rate (FAR) of 0.01%. The second contribution is a technique to incorporate the local image quality information in the fingerprint matching process. Experiments on the FVC 2002 and 2004 databases suggest the potential of this scheme to improve the matching performance of a generic fingerprint recognition system. The final contribution of this thesis is a method for classifying fingerprint images into 3 categories: good, dry and smudged. Such a categorization would assist in invoking different image processing or matching schemes based on the nature of the input fingerprint image. A classification rate of 97.45% is obtained on a subset of the FVC 2004 DB1 database

    Racial/Ethnic Disparities in Diabetes Care and Outcomes: A Mixed Methods Study

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    Limited research has examined racial/ethnic differences in diabetes care and outcomes among primary care patients. This study examined racial/ethnic differences in diabetes care and outcomes among an ambulatory patient population and explored patient perceptions of the patient-provider relationship to inform strategies to improve care delivery. Using data from 62,149 adults with diabetes who received care within Atrium Health in 2013, regression models assessed associations between race/ethnicity and the following outcomes: glycated hemoglobin (HbA1c) tests, low density lipoprotein (LDL) and blood pressure (BP) screening, foot and eye exams, and HbA1c, LDL, and BP control. Eleven patients with diabetes and uncontrolled hypertension participated in three focus groups about their perceptions of the patient-provider relationship. Compared to non-Hispanic Whites, non-Hispanic Blacks had 22% to 73% higher odds of receiving screenings (HbA1c, LDL, BP, foot and eye exams;

    First principles calculation of polarization induced interfacial charges in GaN/AlN heterostructures

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    We propose a new method to calculate polarization induced interfacial charges in semiconductor heterostructures using classical electrostatics applied to real-space band diagrams from first principles calculations and apply it to GaN/AlN heterostructures with ultrathin AlN layers (4-6 monolayers). We show that the calculated electric fields and interfacial charges are independent of the exchange-correlation functionals used (local-density approximation and hybrid functionals). We also find the calculated interfacial charge of (6.8 +/- 0.4) x 10^13 cm-2 to be in excellent agreement with experiments and the value of 6.58 x 10^13 cm-2 calculated from bulk polarization constants, validating the use of bulk constants even for very thin films.Comment: 3 pages, 2 figures; submitted to Applied Physics Letter

    Evaluation of rationality of fixed dose combinations of antimicrobials available in Indian market

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    Background: The antimicrobial resistance is alarming at present. One of the important factors for resistance is use of irrational fixed dose combinations. Thus, objective was to critically analyze the rationality of FDCs of antimicrobial agents currently available in India.Methods: The FDCs of AMAs enlisted in Indian Drug Review 2019 were analyzed by 8 point criteria tool. Analysis includes number of active pharmacological ingredients, approval by central drug standard control organization, listing in world health organization model list of essential medicines (2019) or Government of India national list of essential medicines (2015). Literature search was used for assessing efficacy, safety, pharmacokinetic and pharmacodynamic interactions and advantages of each FDC. Each criterion was assigned score one, if positive and minus one, if negative leading to total score of 12. FDC with score of ≥7 was considered as rational.                                                                         Results: The FDCs of AMA available in Indian market were 116 while FDCs included in WHO model list, 2019 were 24. Majority of FDCs available were irrational that include combination of antibacterial with bromhexine, carbocisteine, ambroxol, serratiopeptidase, antiamoebic and antifungal etc. Most of the rational FDCs belong to antiretroviral, antitubercular and antimalarial drugs.                                Conclusions: Most of the FDCs of AMAs available in Indian market are irrational. These needs educating the prescribers including resident doctors. There is need to critically review such FDCs by drug regulators with strict action regarding manufacturing and marketing

    Evaluation of effect of amitriptyline and pregabalin on heart rate variability in neuropathic pain in non-diabetic patients

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    Background: The effects of amitriptyline and pregabalin on heart rate variability (HRV) in patients with neuropathic pain in non-diabetic patients are poorly understood in India. The present study was conducted to evaluate the effect of amitriptyline and pregabalin on heart rate variability (HRV) and neuropathic pain in non-diabetic patients.Methods: Forty adult patients (aged 18-65 years) of either sex diagnosed with neuropathic pain were divided into two groups. The study was prospective open label and observational study. Amitriptyline 10 mg once a day was given to group 1 while group 2 received pregabalin 75 mg once a day and HRV and pain score were recorded; and post-treatment data at 2 and 4 weeks were compared with pre-treatment values (control). All the statistical analysis was performed by using Statistical package for social sciences (SPSS) 20.0 software.Results: Both amitriptyline and pregabalin have increased HRV and reduced neuropathic pain intensity after 2- and 4-weeks treatment. The correlation between HRV and neuropathic pain was not observed.Conclusions: To conclude both the drugs have significantly increased HRV and reduced the pain intensity; but no correlation was observed between increased HRV and reduced pain intensity

    Effect of amitriptyline and pregabalin on heart rate variability and electrolytes in neurotrophic pain in diabetic patients

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    Background: The data regarding effects of amitriptyline and pregabalin on heart rate variability in patients with neuropathic pain in diabetic patients are poorly understood in India. The present study was conducted to evaluate the effect of amitriptyline and pregabalin on heart rate variability in diabetic patients with neuropathic pain and their effect on serum electrolyte (sodium and potassium).Methods: The patients include 60 diabetic patients of either sex aged 18-65 years diagnosed with neuropathic pain and divided into two groups. The study was prospective open label and observational study. Group 1 was treated with amitriptyline 10 mg once a day while group 2 with pregabalin 75 mg once a day and HRV, serum sodium and serum potassium levels and pain score were recorded; and data of post-treatment at 2 and 4 weeks were compared with pretreatment values (control). All the statistical analysis was performed by using SPSS 20.0 software.Results: Both the drugs have increased HRV and reduced neuropathic pain intensity after 2 and 4 weeks treatment. The sodium and potassium level were not altered by these drugs. No correlation was observed between HRV and neuropathic pain.Conclusions: In conclusion, both the amitriptyline and pregabalin have significantly increased HRV and reduced the neuropathic pain intensity; but no correlation was observed between increased HRV and reduced neuropathic pain intensity

    Analysis of price variation of some commonly used antibacterial agents

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    Background: Antimicrobial resistance is a serious problem. Resistance may develop due to irrational use including poor patient compliance due to prescription of expensive drugs. In present study, the variation in the price of commonly used antibacterial was analysed.Methods: The price of commonly used antibacterial agents listed in recent issues of CIMS and MIMS was analysed in respect of number of brands available, price range (10 tablets or capsules) and 1 ampoule or vial (parenteral preparation) i.e. minimum, maximum and average price and price ratio (maximum/minimum). FDCs and formulation with only 1-2 brands were excluded.Results: The number of brands of oral antibacterial agents varied from 3 (faropenem 200 mg) to 90 (azithromycin 500 mg). The maximum price variation amongst different brands was 21.64 for levofloxacin 500 mg followed by 14.28 and 11.26 for linezolid 600 mg and moxifloxacin 400 mg respectively. For parenteral preparations, the number of brands varied from 2 (gentamicin 80 mg) to 57 (ceftriaxone 1 g). The maximum price variation was 5.05 for meropenem 1 g followed by 3.69 and 2.63 for meropenem 500 mg and ceftriaxone 1 g respectively.Conclusions: A very wide price variation was observed amongst different brands of both oral and parenteral formulations of antibacterial agents. Prescribing expensive brands may lead to resistance due to poor patient compliance

    Lantana (Lantana camara L.) biocontrol agents in Australia with possible options for India and Sri Lanka

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    The focus of this short article is the biocontrol agents of the globally-important species - lantana (Lantana camara L.), which was introduced as an ornamental plant during the 18th and 19th Centuries across continents. Lantana is now naturalized in most continents and causing problems in human-modified landscapes and is also spreading fast into conservation areas and forests. Currently, where it needs to be controlled, a variety of methods are available, which include manual, mechanical and chemical control, as well as fire. However, none of these methods, even when applied in combinations (integrated) have been sufficiently effective on a landscape level or can be sustainably applied to control large and dense infestations. It appears that future lantana management must be oriented towards re-investing in biocontrol simply because it is not feasible to control lantana over the long term using conventional methods. Numerous biocontrol agents have shown considerable promise but have not been well utilized in countries that have increased risks of further spread. Efforts to manage lantana in Australia are still continuing, with a well-developed National framework, an integrated approach and investment in additional biocontrol agents. South-Asian countries, especially India and Sri Lanka, can certainly benefit from Australian experiences in lantana management and R&D investments in biological control. This is especially so since research on host specificity and the effectiveness of agents would have already been conducted. This would require that both countries, and also, possibly some African countries, re-appraise the risks of lantana and make an increased effort at biocontrol to manage those risks, especially in natural ecosystems and conservation areas, heavily disturbed by tourism activities

    Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement

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    We consider the parametric data model employed in applications such as line spectral estimation and direction-of-arrival estimation. We focus on the stochastic maximum likelihood estimation (MLE) framework and offer approaches to estimate the parameter of interest in a gridless manner, overcoming the model complexities of the past. This progress is enabled by the modern trend of reparameterization of the objective and exploiting the sparse Bayesian learning (SBL) approach. The latter is shown to be a correlation-aware method, and for the underlying problem it is identified as a grid-based technique for recovering a structured covariance matrix of the measurements. For the case when the structured matrix is expressible as a sampled Toeplitz matrix, such as when measurements are sampled in time or space at regular intervals, additional constraints and reparameterization of the SBL objective leads to the proposed structured matrix recovery technique based on MLE. The proposed optimization problem is non-convex, and we propose a majorization-minimization based iterative procedure to estimate the structured matrix; each iteration solves a semidefinite program. We recover the parameter of interest in a gridless manner by appealing to the Caratheodory-Fejer result on decomposition of PSD Toeplitz matrices. For the general case of irregularly spaced time or spatial samples, we propose an iterative SBL procedure that refines grid points to increase resolution near potential source locations, while maintaining a low per iteration complexity. We provide numerical results to evaluate and compare the performance of the proposed techniques with other gridless techniques, and the CRB. The proposed correlation-aware approach is more robust to environmental/system effects such as low number of snapshots, correlated sources, small separation between source locations and improves sources identifiability.Comment: Submitted to the IEEE Transactions on Signal Processing (Previous submission date: 29-Oct-2021

    Measuring Entangled Qutrits and Their Use for Quantum Bit Commitment

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    We produce and holographically measure entangled qudits encoded in transverse spatial modes of single photons. With the novel use of a quantum state tomography method that only requires two-state superpositions, we achieve the most complete characterisation of entangled qutrits to date. Ideally, entangled qutrits provide better security than qubits in quantum bit-commitment: we model the sensitivity of this to mixture and show experimentally and theoretically that qutrits with even a small amount of decoherence cannot offer increased security over qubits.Comment: Paper updated to match published version; 5 pages, 4 figures, images have been included at slightly lower quality for the archiv
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