66 research outputs found

    Efficient Parallel All-Pairs Computation Framework: using Computation - Communication Overlap

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    The advent of parallel computing systems enabled the users with huge computation power to efficiently process huge work loads. Most of the recent applications, which are data intensive, require parallel computing power to complete the job efficiently. To facilitate efficient computing there is a necessity for simplified abstraction of the parallel computing systems. We propose one such parallel computation abstraction, designed to solve All-Pairs problems which fit the needs of several data intensive applications. All-Pairs problems require each data element to be paired with every other data element. This framework aims to address recurring problems of scalability, distributing equal workload to all nodes and reducing memory footprint. Our framework reduces memory footprint of All-Pairs problems, by reducing memory requirement from N/ sqrt(P) to 3N/P. A bioinformatics application is implemented to demonstrate the scalability (ranging up to 512 cores), redundancy management and speed up the performance of the framework(superlinear speed up)

    Synthesis and characterization of electron donor/acceptor subphthalocyanine derivatives and porphyrin metal complexes

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    Multicomponent electron-donor acceptor systems incorporating supramolecules such as porphryins, phthalocyanines, subphthalocyanines, and perylenes have gained utmost importance in various fields of optoelectronics. Subphthalocyanines are unique, non-planar, aromatic supramolecules which have recently emerged as a platform for novel electron acceptors as they show great potential in photosynthetic systems. Subphthalocyanine is an excellent electron acceptor, when covalently linked to other electron donor species through the axial substitution and executes fast photoinduced electron transfer. The axial approach to a synthesis is advantageous in the sense that the electronic characteristics of the subphthalocyanine macrocyle are preserved. Subphthalocyanine derivatives prepared in this study are expected to have outstanding tunable properties for the development of artificial photosynthetic systems and various molecular electronic devices. This dissertation will center on the synthesis, characterization of various donor-acceptor conjugates of subphthalocyanine

    A rare delayed presentation of giant vesical calculus: the largest vesical calculus to be reported in a female

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    Vesical calculi are infrequent in females, and the occurrence of giant vesical calculus is even rarer. We report a case of giant vesical calculus in an elderly female which was undiagnosed and empirically treated for six years for recurrent urinary tract infection. On presentation, it was managed by open cystolithotomy. Upon surgical retrieval, the stone measured 11x7.5x7.4 cm in largest dimensions and weighed 672 gm, which to the best of our knowledge, is the largest vesical calculus to be reported in a female patient. This case highlights the need for adequate evaluation of every case of recurrent urinary tract infection with good imaging. Early diagnosis allows for the management of vesical calculi by minimally invasive endoscopic techniques. If missed, it leads to the formation of giant vesical calculi, which require treatment by a much more invasive open surgical approach

    CORONAVIRUS DISEASE 2019 VACCINATION DRIVE: THE PERCEPTIONS AND ACCEPTANCE OF VACCINATION AMONG HEALTH CARE WORKERS

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    Objective: Coronavirus disease 2019 (COVID-19) infection evolved as a worst nightmare across entire humanity especially for health care workers along with all stakeholders of the society ever since the beginning of year 2020. Vaccination campaign is one of the most successful public health interventions and a cornerstone for the prevention of communicable infectious diseases. To have a baseline data and to form the basis for further vaccination drive, we carried out this study with an objective to understand the perception and COVID-19 vaccine hesitancy among health care workers (HCWs). Methods: A correctional study was carried out at one of the multispecialty hospital in North India where COVID-19 vaccination for HCWs was planned and 675 HCWs were taken into the study. Data were collected by means of personal interview using pretested semi-structured questionnaire and Epi Info version 6 was used for analysis. Results: The mean age of the participants was 32.78 years. Majority were male (89.48%), working in government sector (87.7%) and paramedic (88.15%). While 94.67% were accepting vaccine voluntarily while remaining were not confident enough on their own, only 26.96% were ready to take vaccine even on payment. The overall awareness scores of study participants were calculated and found that 79.56% of them had poor awareness level while only 20.44% had satisfactory awareness level. The association of awareness score was statistically significant with job profile (designation), gender, and prior COVID-19 positivity of study participants. Conclusion: The decision of vaccine prioritization to HCWs and frontline workers will boost the morale and spirit of warriors high in future. This study was a preliminary attempt to check any vaccine hesitancy factors among HCWs and act accordingly. Although almost all had volunteered for vaccine, the knowledge about vaccine was poor in majority of HCWs as the time period was recent to vaccine rollout and detailed research findings were not yet out about vaccine. All measures to be taken including intensive information education and communications activities targeting HCWs and general population on regular basis to upgrade the knowledge on vaccine issues. A strong communicating policy in an era of misinformation is highly recommended as social media plays an important role in spreading true as well as false messages jeopardizing the entire gains of successful vaccination and attainment of herd immunity. HCWs to act as role model for general public and patients which would in turn increase the vaccine acceptance among them

    Unusual sites of delayed metachronous metastases from renal cell carcinoma: a case series of five cases and review of literature

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    Renal cell carcinoma (RCC) is the most common malignant tumour of the kidney, representing 3% of all adult malignancies. Among men it is the sixth most common cancer while among women it is the ninth most common cancer. The mainstay of treatment for localized RCC is surgical resection with curative intent. The aggressive and often insidious nature of RCC is reflected by high recurrence rates of upto 20-40% after nephrectomy. Most commonly encountered sites of recurrent metastases include the lung, followed by bone, liver, brain, and local recurrence. Atypical sites of delayed metastases of RCC, although rare, have been reported in literature. We present our series of five cases where delayed metastasis has occurred at atypical sites including right sartorius muscle, right atrium and ventricle, urinary bladder, shaft of tibia and distal phalanx of hand upto six years later from the time of initial curative treatment of primary. The metastatic lesions in sartorius muscle, right atrium and ventricle, urinary bladder and distal phalanx were primarily managed by metastatectomy while that in the tibial shaft was managed by palliative targeted therapy with tyrosine kinase inhibitors. The key takeaway from this case series is that any primary neoplastic lesion in a patient with history of RCC should be evaluated with histopathology before definitive intervention is undertaken keeping in mind the notorious tendency of RCC to cause delayed metachronous metastases at unusual sites. In presence of solitary metastatic lesions at resectable locations, curative treatment can be offered by metastatectomy

    METHOD DEVELOPMENT AND VALIDATION OF CLEANING PROCEDURE FOR FENBENDAZOLE RESIDUAL DETERMINATION IN MANUFACTURING

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    Objectives: Cleaning validation is the methodology used to assure that a cleaning process removes residues of the active pharmaceutical ingredientsof the product manufactured in a piece of equipment. All residues are removed to predetermined levels to ensure the quality of the next product.Today, manufactured is not compromised by waste from the previous product and the quality of future products using the equipment, to prevent crosscontamination, and as a good manufacturing practices requirement. The main aim of the study was to develop and validate a new simple, precise,and accurate reverse phase high-performance liquid chromatographic (HPLC) method for fenbendazole (FBZF) residual determination in veterinaryactive pharmaceutical ingredient manufacturing.Methods: The method was developed using the isocratic solvent system, HPLC grade acetonitrile, and Mill-Q water in the ratio of 60:40 (volume/volume), and 1% hydrochloric methanol is used as diluent. Successful elution of the FBZF was achieved on Waters Symmetry C-18 column with250 mm×4.6 mm internal diameter and 5 μm particle size.Results: The method validation was successfully applied for routine analysis for cleaning/residual samples. The developed reverse phase liquidchromatography method was validated with respect to specificity, linearity, accuracy, precision, and high sensitivity with detection limits andquantification limits ranging from 0.2 ppm to 15 ppm.Conclusion: The present developed and validated method is run successfully for FBZF residual determination of cleaning samples in veterinary activepharmaceutical ingredient manufacturing.Keywords: Fenbendazole, Residual determination, Reversed phase high-pressure liquid chromatography and cleaning validation

    TELEMEDICINE: REVISITING THE PAST, PRESENT, AND FUTURE DURING COVID PANDEMIC

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    Telemedicine is the utilization of electronic facts to correspond expertise for sustaining healthcare when physical distance part the users. Within the same time frame, patient-related data can be simultaneously get collected for large number of people using remote monitoring. However, there is always a disadvantage if any issue arises due to software and hardware. Thus, computer-based patient monitoring can be problematic at sometimes if we exclusively depend on computer system. There should always be a balance between computer dependency and human intelligence use. Each and every one’s life difference can be made by maintaining the balance between the two. Here, in this review article, we discussed the historical perspectives, telemedicine system concepts, telemedicine centers infrastructure, role in diverse spheres, types of telemedicine technology, applications in public health, current initiatives, and finally the success and popularity of telemedicine during COVID-19 pandemic

    Soil Classification and Crop Prediction Using Machine

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    Soil classification is a major problem and a heated topic in many countries. The world's population is drastically increasing at an alarming rate which in turn makes the demand for food crops. Farmers are forced to block soil cultivation since their conventional methods are insufficient to fulfil escalating needs. To optimize agricultural output, farmers must understand the best soil type for a certain crop, which has an impact on growing food demand. There areseveral methods for categorizing soil in a scientific way, but each has its own set of disadvantages, such as time and effort. Computer-based soil classification approaches are essential since they will aid farmers in the field and will be quick. Advanced Machine Learning technique-based soil classification methodologies can be used to classify soil and extract various featuresfrom it
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