Role of post auricular flaps in acquired partial external auricular defects

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Evaluation of Real Time PCR Detection of the 47 kDa Gene for Reliable Diagnosis of Pediatric Scrub Typhus

Diagnosis of scrub typhus is difficult, because of its non-specific clinical features and a lack of reliable serological assays. This study assessed real time PCR detection of the 47 kDa gene along with routine IgM ELISA for confirmatory diagnosis of scrub typhus. This observational study was conducted between March 2021 and February 2023. Real time PCR detection of the 47 kDa gene was used as a diagnostic assay. Confirmed scrub typhus cases were defined by IgM ELISA and/or real time PCR positivity. A total of 105 children (0–18 years of age) were enrolled, 30 (28.57%) of whom were confirmed to have scrub typhus, according to IgM ELISA and/or real time PCR positivity. The clinical symptoms of scrub typhus positive children included fever, diarrhea, abdominal pain, breathing difficulties, lymphadenopathy, rash, headache, edema, seizure, and poor intake. Good statistical correlations were observed among real time scrub positivity, high grade fever of 8.2 days’ duration, the presence of eschar and thrombocytopenia. Non-specific respiratory symptoms; cough, and cold were more severe in patients with scrub typhus. The real time PCR test showed good specificity in discriminating scrub typhus from enteric fever, a common pediatric disease. Detection of the 47 kDa gene with real time PCR has good sensitivity and specificity. The number of days between fever onset and sampling, as well as the administration of antibiotics before sampling, influence the performance of real-time PCR

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Not AvailableField studies were taken up to evaluate the efficacy of various intercrops in wheat for the management of Odontotermes obesus Rambur during. The termite population was recorded at fifteen days interval and at 15 DAS (Days after Sowing) the termite population ranged from 35.33 – 66.67 and 31.33-61.67 in intercropped plots during first season and second season, respectively. On 135 DAS, the population density of termites were the least in safflower, mustard, gram and pea intercropped plots which recorded 41.33, 41.67, 42.00 and 43.00 numbers, respectively and were also on par with each other. The trend continued to be the same during second season and mustard intercropped plots recorded 28.33 numbers at 105 DAS, which was on par with the plots intercropped with safflower (28.33), gram (29.33) and pea (30.67). The order of intercrops influencing the reduction in termite population for both the season was safflower > mustard > pea > gram > fenugreek > coriander > ajowain > linseed.Not Availabl

IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities

The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors

New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel

In the present scenario the depletion of conventional sources causes an energy crisis. The energy crisis causes load demand with respect to electricity. The use of renewable energy sources plays a vital role in reducing the energy crisis and in reduction of CO2 emission. The use of solar energy is the major source of power in generation as this is the root cause for the development of wind, tides, etc. However, due to climatic condition the availability of PV sources varies from time to time. Hence it is essential to track the maximum source of energy by implementing different types of MPPT algorithms. However, use of MPPT algorithms has the limitation of using the same during partial shadow conditions. The issue of tracking power under partial shadow conditions can be resolved by implementing an intelligent optimization tracking algorithm which involves a computation process. Though many of nature’s inspired algorithms were present to address real world problems, Mirjalili developed the dragonfly algorithm to provide a better optimization solution to the issues faced in real-time applications. The proposed concept focuses on the implementation of the dragonfly optimization algorithm to track the maximum power from solar and involves the concept of machine learning, image processing, and data computation

The metabolic profile of intrahepatic cholestasis of pregnancy is associated with impaired glucose tolerance, dyslipidemia, and increased fetal growth

OBJECTIVE Quantification of changes in glucose and lipid concentrations in women with intrahepatic cholestasis of pregnancy (ICP) and uncomplicated pregnancy and study of their influence on fetal growth. RESEARCH DESIGN AND METHODS A prospective study comparing metabolic outcomes in cholestastic and uncomplicated singleton pregnancies was undertaken at two university hospitals in the U.K. and U.S. from 2011–2014. A total of 26 women with ICP and 27 control pregnancies with no prior history of gestational diabetes mellitus were recruited from outpatient antenatal services and followed until delivery. Alterations in glucose, incretins, cholesterol, and triglycerides were studied using a continuous glucose monitoring (CGM) system and/or a standard glucose tolerance test (GTT) in conjunction with GLP-1 and a fasting lipid profile. Fetal growth was quantified using adjusted birth centiles. RESULTS Maternal blood glucose concentrations were significantly increased in ICP during ambulatory CGM (P &amp;lt; 0.005) and following a GTT (P &amp;lt; 0.005). ICP is characterized by increased fasting triglycerides (P &amp;lt; 0.005) and reduced HDL cholesterol (P &amp;lt; 0.005), similar to changes observed in metabolic syndrome. The offspring of mothers with ICP had significantly larger customized birth weight centiles, adjusted for ethnicity, sex, and gestational age (P &amp;lt; 0.005). CONCLUSIONS ICP is associated with impaired glucose tolerance, dyslipidemia, and increased fetal growth. These findings may have implications regarding the future health of affected offspring. </jats:sec

Patient experience and perceived acceptability of whole-body magnetic resonance imaging for staging colorectal and lung cancer compared with current staging scans: a qualitative study

OBJECTIVE: To describe the experience and acceptability of whole-body magnetic resonance imaging (WB-MRI) staging compared with standard scans among patients with highly suspected or known colorectal or lung cancer. DESIGN: Qualitative study using one-to-one interviews with thematic analysis. SETTING: Patients recruited from 10 hospitals in London, East and South East England between March 2013 and July 2014. PARTICIPANTS: 51 patients (31 male, age range 40-89 years), with varying levels of social deprivation, were recruited consecutively from two parallel clinical trials comparing the diagnostic accuracy and cost-effectiveness of WB-MRI with standard scans for staging colorectal and lung cancer ('Streamline-C' and 'Streamline-L'). WB-MRI was offered as an additional scan as part of the trials. RESULTS: In general WB-MRI presented a greater challenge than standard scans, although all but four patients completed the WB-MRI. Key challenges were enclosed space, noise and scan duration; reduced patient tolerance was associated with claustrophobia, pulmonary symptoms and existing comorbidities. Coping strategies facilitated scan tolerance and were grouped into (1) those intended to help with physical and emotional challenges, and (2) those focused on motivation to complete the scan, for example focusing on health benefit. Our study suggests that good staff communication could reduce anxiety and boost coping strategies. CONCLUSIONS: Although WB-MRI was perceived as more challenging than standard scans, it was sufficiently acceptable and tolerated by most patients to potentially replace them if appropriate. TRIAL REGISTRATION NUMBER: ISRCTN43958015 and ISRCTN50436483