92 research outputs found

    Resistance pattern of methicillin resistant Staphylococcus aureus among nasal isolates of HIV infected patients in a tertiary care hospital

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    Background: Patients infected with HIV have an increased risk of nasal Staphylococcus aureus carriage as well as consecutive staphylococcal infections and is a major reservoir for MRSA which is potential risk factors for community acquired MRSA. Knowing the Nasal carriage status of Staphylococcus aureus and their Antibiogram will be beneficial for effective management of these patients.Methods: Nasal swab sample were collected from all the participants and processed for culture and identification of Staphylococcus aureus and their antimicrobial sensitivity. All the Staphylococcus aureus isolates were tested for Methicillin resistance by Oxacillin screen agar test, cefoxitin disc diffusion test and further confirmed by mecA gene PCR.Results: In this study out of 220 HIV seropositive patients, 43.64% isolates were confirmed to be S. aureus, 18.75% MRSA and 81.25% were MSSA. Cefoxitin disc diffusion showed 100% specificity (95% CI; 97.05%-100.00%), 100% sensitivity (95% CI; 83.89-100.00%) and 100% accuracy (95% CI; 97.47% to 100.00%) while comparing with gold standard mecA gene PCR. Among the nasal carriers; males (60%) ware dominant on females (40%). 31-50 years age group was strongly associated with MRSA nasal carriage. None of the isolates were resistant against lenozolid, teicoplanin and vancomycin while ampicillin (75%), ciprofloxacin (62.5%), clindamycin (59.38%) and cotrimoxazole (53.13%) showed increased resistance against S. aureus nasal carriage.Conclusions: Resistance among HIV positive persons for all antibiotics showed statistically significant while compared to control group. Cefoxitin disc diffusion can be used as surrogate agent for mecA gene detection

    An Automated Approach for Video Surveillance Using Kalman Filter

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    Image processing has played a vital role in every aspect of human life. Video surveillance has reached a major out through by the application of advanced image processing and frame modeling techniques. In video surveillance, detection of relocating objects from a video is predominant for object detection, target monitoring, and behavior. Detection of relocating objects in video streams is the first major step of the algorithm, and background subtraction is a pleasant technique for foreground segmentation. In this thesis, automatic actual-time object detection and tracking had been carried out utilizing Kalman filter the place the method output was once monitoring the input and canceling out any variants because of entry and exit noises. This work could be used to boost a surveillance procedure of static digicam and robotic automation visible systems

    Analysis of IoT and Blockchain Technology for Agricultural Food Supply Chain Transactions

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    The Block chain is a peer to peer, distributed ledger in which members must establish consensus to record every new input and transactions that are stored by all members. Over the last decade, block chain technology has grown in popularity, attracting interest from a wide range of industries, including finance, manufacturing, energy, and government sectors, health, and agriculture supply chains, land registrations, and digital identifications (IDs). Block chain facilitates better opportunities and benefits in agriculture, as well as building trust between farmers and consumers and allowing the creation of reliable food supply chains. The Chapter discusses how block chain and smart contracts can improve productivity, transparency, and traceability in agricultural insurance, smart farming, and agricultural food supply chain transactions (AFSC). By applying Block chain agri-food supply chain tracking was made easy and won the trust from different stakeholders, which was a real benefit to the real heroes of the country. The consumer can research the history of a product they are thinking about buying and consume food in their cart, learning about the entire process from planting to harvesting, transporting, and selling. Food fraud may be reduced by using the traceability and integrity of financial information to detect untrustworthy intermediaries and business practices that exploit both independent farmers and cooperatives. The agricultural industry will be transformed by block chain for supply chain management. All phases of the agriculture supply chain are being simplified, enhancing food safety and preventing the sale of counterfeit goods. Access to agricultural finance services for farmers and companies could also be facilitated by the technology. This Paper presents a review and research challenges on the existing block chain based IoT applications in the agriculture domain where maximum research focuses on food supply chain and its security of Internet of things with Block chain. The chapter presents how block chain and smart contracts can increase productivity, transparency and traceability could be very effective in Agricultural insurance, smart farming, transactions of agricultural food supply chains

    Comparison of single dose transdermal patches of diclofenac and ketoprofen for postoperative analgesia in lower limb orthopaedic surgery

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    Background: Transdermal patch is a very simple and painless method for providing postoperative analgesia. The aim of the study was to compare the  efficacy and safety of transdermal patch of ketoprofen in comparison to diclofenac patch for postoperative analgesia. It is a randomized single blind study.Methods: Sixty patients were randomly allocated to receive either ketoprofen or diclofenac patch at the end of surgery under spinal anaesthesia. Statistical analyses used, data were analyzed using statistical package for social sciences version 15.0.Results: In diclofenac group the post-operative VAS was 2.4±0.72 and in ketoprofen group, post-operative VAS was 1.4±0.3 which was significantly low when compared to group D (p<0.05 value). 11 patients in group D and 3 patients in group K required rescue analgesia (Inj. tramadol) in the first 24 hours which was statically significant (p<0.05).Conclusions: Both ketoprofen and diclofenac transdermal patch are effective for postoperative analgesia but less number of patients required rescue analgesic in ketoprofen group

    Dextransucrase from the mutant of Pediococcus pentosaceus (PPm) is more stable than the wild type

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    A comparative study on both wild type and mutant of Pediococcus pentosaceus for dextransucrase activity, its stability, dextran synthesizing activity, antibiotic sensitivity and carbohydrate utilization was performed. The wild type P. pentosaceus had specific activity of 0.58 U/mg whereas the mutant showed that of 1.0 U/mg with 72% enhancement. The antibiogram of 27 antibiotics tested against mutant showed significant differences with 9 antibiotics when compared to wild type. In carbohydrate fermentation profile, trehalose, galactose, maltose, lactose and fructose are metabolized by both the strains, but weakly in case of mutant. Stabilization of purified dextransucrase from wild type and mutant with various stabilizers was studied at 30 and 4 °C. Both enzymes were more stable at 4 °C. Among various stabilizers such as dextran (100 kDa, 10 μg/ml), glycerol (0.5%, v/v), PEG 8000 (10 μg/ml) and Tween 80 (0.5%, v/v), Tween 80 provided maximum stabilization at 4 and 30 °C. The mutant showed better stabilization than that of the wild type at both 30 and 4 °C. The loss of activity at 30 °C after 24 h in wild type and mutant in the presence of Tween 80 was only 34 and 32%, respectively, whereas the loss of activity in control of wild type and mutant was 76 and 59%, respectively. After 15 days at 4 °C, the loss of activity in control of wild type and mutant in the presence of Tween 80 was only 15 and 8%, respectively, whereas at 30 °C, the loss of activity in control of wild type and mutant was 49 and 42% respectively. Half-life of the enzyme with Tween 80 was 28.5 and 33.5 h for wild type and mutant, respectively, at 30 °C and 52.1 and 106.6 days for wild type and mutant respectively, at 4 °C

    Tube within Tube: Ascaris in Bowel and Biliary-Tract

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    Ascaris lumbricoides is one of the most common human helminthic diseases worldwide. On ultrasound, it is seen as linear non-shadowing echogenic structures with target appearance in cross section, and the live worm may show writhing movements in real time. On barium meal follow through, it appears as radiolucent tubular filling defects within the bowel lumen. Though not sensitive, direct real-time visualization of Ascaris on ultrasound is quick, non-invasive, and definitive

    Analyze the Performance of Software by Machine Learning Methods for Fault Prediction Techniques

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    Trend of using the software in daily life is increasing day by day. Software system development is growing more difficult as these technologies are integrated into daily life. Therefore, creating highly effective software is a significant difficulty. The quality of any software system continues to be the most important element among all the required characteristics. Nearly one-third of the total cost of software development goes toward testing. Therefore, it is always advantageous to find a software bug early in the software development process because if it is not found early, it will drive up the cost of the software development. This type of issue is intended to be resolved via software fault prediction. There is always a need for a better and enhanced prediction model in order to forecast the fault before the real testing and so reduce the flaws in the time and expense of software projects. The various machine learning techniques for classifying software bugs are discussed in this paper

    Bronchial artery embolization in hemoptysis: a systematic review

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    We systematically reviewed the role of bronchial artery embolization (BAE) in hemoptysis. Literature search was done for studies on BAE published between 1976 and 2016. Twenty-two studies published in English, with sample size of at least 50 patients, reporting indications, technique, efficacy, and follow-up were included in the final analysis. Common indications for BAE included tuberculosis (TB), post-tubercular sequelae, bronchiectasis, and aspergillomas. Most common embolizing agent used was polyvinyl alcohol (size, 300–600 μm) with increasing use of glue in recent years. Overall immediate clinical success rate of BAE, defined as complete cessation of hemoptysis, varied from 70%–99%. However, recurrence rate remains high, ranging from 10%–57%, due to incomplete initial embolization, recanalization of previously embolized arteries, and recruitment of new collaterals. Presence of nonbronchial systemic collaterals, bronchopulmonary shunting, aspergillomas, reactivation TB, and multidrug resistant TB were associated with significantly higher recurrence rates (P < 0.05). Rate of major complications remained negligible and stable over time with median incidence of 0.1% (0%–6.6%). Despite high hemoptysis recurrence rates, BAE continues to be the first-line, minimally invasive treatment of hemoptysis in emergency settings, surgically unfit patients, or in patients with diffuse or bilateral lung disease

    Evaluation of cartridge-based nucleic acid amplification test for diagnosis of tuberculosis in children in various body fluids

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    Introduction: The paucibacillary nature presents a major challenge in the diagnosis of tuberculosis (TB) in children. The utilization of cartridge-based nucleic acid amplification test (CBNAAT) for the diagnosis of TB presents itself with added advantages such as detection to resistance to rifampicin and short turnaround time. Objectives: The aim of the study is to evaluate the diagnostic yield of CBNAAT in various body fluids and to compare with BACTEC-MGIT 960 and acid-fast bacilli (AFB) microscopy in children with suspected TB and to see the prevalence of rifampicin resistance in the study population using CBNAAT. Materials and Methods: This cross-sectional study included participants &lt;14 years with suspected TB. Gastric aspirate samples obtained from pulmonary TB cases and body fluid specimens obtained from extrapulmonary TB cases were processed for the detection of Mycobacterium tuberculosis (MTB) using CBNAAT, BACTEC-MGIT 960, and AFB microscopy. The results obtained using CBNAAT were compared to other laboratory tests using an appropriate statistical method. Results: Fifty patients diagnosed with TB (34 pulmonary, 10 pleural effusion, and 6 abdominal) were included in the study, and clinical fluid specimens obtained from study participants were processed for the detection of MTB. Out of 34 gastric aspirate samples, 28 (82%) were positive by CBNAAT which was statistically higher than BACTEC-MGIT 960 (P &lt; 0.05). Among extrapulmonary TB cases, only 2 pleural fluid specimens were positive by CBNAAT, whereas BACTEC-MGIT 960 and AFB microscopy could not detect MTB. Out of 34, 4 (11.76%) patients with newly diagnosed pulmonary TB were found to be rifampicin resistant using CBNAAT. Conclusions: CBNAAT showed promising results as a diagnostic tool in detecting MTB and rifampicin resistance in pulmonary TB using gastric aspirate. It, however, did not show good results in children with extrapulmonary TB in the clinical fluid specimen. The present study also showed the presence of high rifampicin resistance in treatment naïve pulmonary TB patients

    On- Device Information Extraction from Screenshots in form of tags

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    We propose a method to make mobile screenshots easily searchable. In this paper, we present the workflow in which we: 1) preprocessed a collection of screenshots, 2) identified script presentin image, 3) extracted unstructured text from images, 4) identifiedlanguage of the extracted text, 5) extracted keywords from the text, 6) identified tags based on image features, 7) expanded tag set by identifying related keywords, 8) inserted image tags with relevant images after ranking and indexed them to make it searchable on device. We made the pipeline which supports multiple languages and executed it on-device, which addressed privacy concerns. We developed novel architectures for components in the pipeline, optimized performance and memory for on-device computation. We observed from experimentation that the solution developed can reduce overall user effort and improve end user experience while searching, whose results are published
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