2,112 research outputs found
A NOVEL STILL IMAGE MOSAIC ALGORITHM CONSTRUCTION USING FEATURE BASED METHOD
An image mosaic is a method of assembling multiple overlapping images of same scene into a larger one. The output of image mosaic will be the union of two input images. In this paper we have to use three step automatic image mosaic method. The first step is taking two input images and finding out the corners in both the images, second step is finding its matched corner and third step is its blending and we get final output mosaic. The experimental results show the proposed algorithm produces an improvement in mosaic accuracy, efficiency and robustness
Post COVID-19 lung fibrosis and pleural effusion in geriatric patient
An 81-year-old male who has hypertension in the last 15 years coming to our hospital with a chief complaint of severe breathlessness, chest pain with a history of fever spike in the last 20 days. When he underwent real-time reverse transcription-polymerase chain reaction (RT-PCR) test, the test comes positive with SARS COVID-19. Routine test high-resolution computed tomography (HRCT) showed approximately 75% of the left side and 50% of right lung involvement with CO-RAD 6 and HRCT severity score 20. HRCT showed multiple ill-defined patchy ground-glass opacity with consolidation and septal thickening in the bilateral lung field. There is a finding of fibrotic changes with tractional bronchiectasis in bilateral lung field with minimal pleural effusion
BIOANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR ESTIMATION OF CLOPIDOGREL BISULFATE IN HUMAN PLASMA BY RP-HPLC
Objective: A simple, sensitive, rapid and precise bioanalytical RP-HPLC method was developed for estimation of clopidogrel bisulfate in human plasma.
Methods: The work was carried out on Shimadzu LC-2010 CHT HPLC system equipped with Waters C18 (250×4.6 mm, 5μ) column with a mobile phase containing acetonitrile: methanol: water (75:20:05 v/v/v). The flow rate of mobile phase was 1 ml/min and the detection was carried out at 225 nm. The retention time of clopidogrel bisulfate was found to be 4.6 min.
Results: The developed bioanalytical method was found to be linear in the concentration range of 30.76-69.23 µg/ml. The simple regression analysis of chromatographic response showed the value of R2= 0.9917. The precision study revealed that the cumulative percentage variation was within acceptable limit and accuracy study showed the value of mean percent recovery between 103.60 to 109.80 %. The clopidogrel was stable in human plasma at different storage conditions.
Conclusion: The validation parameters of the method met the acceptance criteria. Sufficient stability of both LQC and HQC was shown to allow for completion of sample analysis in clinical trials. From the results, we can conclude that developed bioanalytical method is simple, rapid, accurate, and precise and can be used for routine analysis of clopidogrel bisulfate.
Keywords: Bioanalytical Method, Clopidogrel Bisulfate, RP-HPLC, Validatio
Study of clinical outcome of acromioclavicular joint injury type III-VI treated by EndoButton and threads in adults
Background: Acromioclavicular joint dislocations are common in physically active young adults that too most common in persons who are participating in sports activities. Incidence is more in males who are participating in contact sports like rugby, basketball, hockey. It accounts for 9% of all shoulder injuries. Literature says the incidence is 3-4/1,00,000 population. The aim of the present study was to study the functional outcome of acromioclavicular joint after reconstruction of both acromioclavicular and coracoclavicular ligament using endo button system and to provide pain-free, mobile shoulder.Methods: In the present study, 15 patients were selected of age group 20-60 years. Acromioclavicular joint injuries are classified according to Rockwood classification and the findings from the physical examination and anteroposterior and axillary radiographs. All patients were treated as per status of injury level by either conservatively or operatively with open reduction and reconstruction of both ligament by using endo button thread system and its outcomes were assessed clinically and radiologically.Results: Patients were evaluated using American shoulder and elbow score (ASES) score and Constant shoulder score. Average ASES score was 90 (range 68.3-98.3) and constant score was 88 (range 63-96). According to constant score 7 patients had excellent outcome, 6 patients had good outcome, 2 patients had adequate outcome. All patients reported satisfaction with the treatment. The patients were followed upto 6 months.Conclusions: The technique proved to be effective in treating acute. Acromioclavicular joint dislocations (Rockwood type III-VI) with a high degree of patient satisfaction
A NOVEL APPROACH FOR VERIFIABLE SECRET SHARING IN PROACTIVE NETWORK USING RSA
We consider perfect verifiable secret sharing (VSS) in a synchronous network of n processors (players) where a designated player called the dealer wishes to distribute a secret s among the players in a way that none of them obtain any information, but any t + 1 players obtain full information about the secret. The round complexity of a VSS protocol is defined as the number of rounds performed in the sharing phase. Gennaro, Ishai, Kushilevitz and Rabin showed that three rounds are necessary and sufficient when n > 3t. Sufficiency, however, was only demonstrated by means of an inefficient (i.e., exponential-time) protocol and the construction of inefficient three-round protocol were left as an open problem. In this paper, we present an efficient three-round protocol for VSS. The solution is based on a three-round solution of so-called weak verifiable secret sharing (WSS), for which we also prove that three rounds are a lower bound. Furthermore, we also demonstrate that one round is sufficient for WSS when n > 4t, and that VSS can be achieved in 1 + " amortized rounds (for any " > 0) when n > 3t
Cystic tuberculosis of the scapula in a young boy: a case report and review of the literature
<p>Abstract</p> <p>Introduction</p> <p>Tuberculosis of the flat bones is rare and only a small percentage involves the scapular bone.</p> <p>Case presentation</p> <p>We report a rare case of tuberculosis of the scapula in a 14-year-old. Diagnostic clues include lytic areas with low density seen in the body of the scapula involving a glenoid margin associated with typical clinical features. Treatment should include a regimen of four antitubercular drugs along with surgical debridement if required.</p> <p>Conclusion</p> <p>Although rare, tuberculosis should be suspected in patients presenting with a chronic sinus in the scapular region, particularly in the developing world.</p
Active Flow Control over a NACA23012 Airfoil using Hybrid Jet
A time-dependent numerical simulation is performed to examine the flow separation control with the action of a hybrid jet (the combination of synthetic and continuous jets) over a NACA23012 airfoil. The unsteady Reynolds-averaged Navier–Stokes (URANS) simulation is performed with Spalart-Allmaras (SA) turbulence model to simulate the flow field around the airfoil to analyse the effect of the hybrid jet. A combined jet is placed at the point of flow separation on the upper surface of the airfoil which is located at the 12% of the chord length from the leading edge of the airfoil for a given flow configuration. Flow simulations are performed at a chord-based Reynolds number of 2.19 × 106 for the hybrid jet oscillating frequency of 0.159 at a blowing ratio of 3.0. The contribution of the continuous jet in the hybrid jet is evident by the flow control. Variation in the continuous jet velocity is studied, which improved the aerodynamic characteristics of the airfoil. The maximum improvement in lift to drag ratio is observed from 11.19 to 22.14 at an angle of attack of 22 degree. The stall angle also shows an enhancement from 18 degree to 20 degree
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles
Several popular computer vision (CV) datasets, specifically employed for
Object Detection (OD) in autonomous driving tasks exhibit biases due to a range
of factors including weather and lighting conditions. These biases may impair a
model's generalizability, rendering it ineffective for OD in novel and unseen
datasets. Especially, in autonomous driving, it may prove extremely high risk
and unsafe for the vehicle and its surroundings. This work focuses on
understanding these datasets better by identifying such "good-weather" bias.
Methods to mitigate such bias which allows the OD models to perform better and
improve the robustness are also demonstrated. A simple yet effective OD
framework for studying bias mitigation is proposed. Using this framework, the
performance on popular datasets is analyzed and a significant difference in
model performance is observed. Additionally, a knowledge transfer technique and
a synthetic image corruption technique are proposed to mitigate the identified
bias. Finally, using the DAWN dataset, the findings are validated on the OD
task, demonstrating the effectiveness of our techniques in mitigating
real-world "good-weather" bias. The experiments show that the proposed
techniques outperform baseline methods by averaged fourfold improvement.Comment: Under revie
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