219 research outputs found

    A comparative study of intravenous ferricarboxymaltose and double dose oral iron therapy in treatment of anemia in pregnancy

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    Background: During pregnancy, iron deficiency is due to an imbalance between demand and supply, this worsens as pregnancy advances, according to CDC (centres for disease control and prevention) anemia is defined as Hb concentration lesser than 11 gm/dl in the first and third trimesters, and/or lesser than 10.5 gm/dl in the second trimester.Methods: The prospective comparative study was planned with the objective to assess the effectiveness of intravenous ferricarboxymaltose and oral double dose iron in treating anaemia in pregnant women. This study was conducted from January 2019 to June 2020 among 100 (50 in each group) pregnant anemic women attending a rural tertiary care centre.Results: This comparative study between double dose oral iron and i.v. iron treatment showed, hemoglobin levels improved at comparable rate across both treatments, however significantly more women achieved anemia correction with ferric carboxymaltose than oral iron More women achieved significant improvement in Hb with single dose of ferric carboxymaltose, whereas with oral iron additional dose of iron supplementation was required. Treatment related adverse reactions were seen more which oral iron treatment than with FCM. With markedly higher rates of gastrointestinal disorders.Conclusions: FCM is comparable more effective and better tolerated than oral iron treatment in pregnant women. Rapid correction of anemia was seen with i.v. FCM, thus in late stage pregnancy, when time to delivery is a limiting step, administration of FCM may be a more appropriate option than oral iron for rapid and effective anemia correction

    The Mediating Role of Contentment Experience: Influence of Job Embeddedness on Mattering and Employee Sustainable Performance

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    Purpose: The objective of our research is to examine the effects of job embeddedness on contentment experience, anti-mattering, and employee sustainable performance. The study also tested the impact of contentment experience and anti-mattering on the outcome variable i.e., employee sustainable performance.   Theoretical framework: The results of this study indicate that job embeddedness has a positive effect on employee sustainable performance. Contentment experience has a positive effect on employee sustainable performance, but it has a negative effect on mattering. Mattering has a negative effect on employee sustainable performance.   Design/methodology/approach: This research will be conducted using a quantitative, cross-sectional survey design. Data were collected using online surveys administered to a sample of employees from various IT industries. Questionnaires were distributed to 302 employees in various IT sectors in and around Tamilnadu. There are two Mediator’s hypotheses were estimated using process macro using the Andrew Hayes model.   Findings: The findings indicate that job embeddedness has a positive effect on employee performance, and that contentment experience and mattering have a significant impact on employee sustainable performance.   Research, Practical & Social Implication: It provides the necessary understanding of how job embeddedness is related to employee sustainability performance and how to create an environment that fosters employee contentment, thereby leading to better performance. The findings of this research can be used to create a work environment that is conducive to employee sustainability performance.   Originality/value: The study is the first to examine the impact of contentment experience and mattering on employee sustainable performance. Additionally, the study tested the effect of contentment experience on mattering

    Reliable and Automatic Recognition of Leaf Disease Detection using Optimal Monarch Ant Lion Recurrent Learning

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    Around 7.5 billion people worldwide depend on agriculture production for their livelihood, making it an essential component in keeping life alive on the planet. Negative impacts are being caused on the agroecosystem due to the rapid increase in the use of chemicals to combat plant diseases. These chemicals include fungicides, bactericides, and insecticides. Both the quantity and quality of the output are impacted when there is a high-scale prevalence of diseases in crops. Plant diseases provide a significant obstacle for the agricultural industry, which has a negative impact on the growth of plants and the output of crops. The problem of early detection and diagnosis of diseases can be solved for the benefit of the farming community by employing a method that is both quick and reliable regularly. This article proposes a model for the detection and diagnosis of leaf infection called the Automatic Optimal Monarch AntLion Recurrent Learning (MALRL) model, which attains a greater authenticity. The design of a hybrid version of the Monarch Butter Fly optimization algorithm and the AntLion Optimization Algorithm is incorporated into the MALRL technique that has been proposed. In the leaf image, it is used to determine acceptable aspects of impacted regions. After that, the optimal characteristics are used to aid the Long Short Term Neural Network (LSTM) classifier to speed up the process of lung disease categorization. The experiment's findings are analyzed and compared to those of ANN, CNN, and DNN. The proposed method was successful in achieving a high level of accuracy when detecting leaf disease for images of healthy leaves in comparison to other conventional methods

    Comparison of Two Types of Mouse Running Wheels.

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    Voluntary wheel running of mice has been used as a measure of physical activity in a multitude of studies. The aim of this study was to validate low profile wireless running wheels (Med Associates Inc.) against solid-surface, traditionally-mounted vertical running wheels. All animal procedures were approved by the Texas A &M IACUC. Eleven week old female C57BL/6J mice (Jackson Labs, Bar Harbor, ME) were randomly assigned to either vertical running wheels (n=5) or low profile running wheels (n=5). Daily distance run was monitored for 12 days following initial wheel orientation exposure. Average daily distance run by the mice was not different (p=0.37) between the two types of wheels, with the mice on vertical wheels averaging 6.74(±1.74 km/day; average ±SD) versus 8.58(±1.87km/day) on the low profile wheels. The distance run by the mice on the low profile wheels was also compared to the distance the same mice ran on the vertical wheels (8.6±1.04 km/day; p=0.96). Thus data collected on the low-profile wheels was similar to the vertical running wheels not only among two age and sex-matched groups of mice, but also when the same group of mice ran on the two wheel types. However, on the low-profile wheels, the inability to measure duration of wheel running due to software limitations of the data-collection bin size eliminates the calculation of running speed, both of which are important phenotypes of physical activity. Additionally, there were also numerous observations of the mice coasting on the low-profile wheels, an issue not present on the traditional, solid-surface wheels. The presence of coasting would inflate distance measures over true measures of activity and may have been responsible for the non-significant elevation of distance on the low-profile wheels. Thus, if accurate measures of distance or measurement of duration and speed are not required, the low-profile wheel is a valid methodology

    Study of reactivity pattern of hormone receptors in patients with breast cancer at a tertiary care hospital, Aurangabad, India

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    Background: Breast cancer is one of the most common malignancies affecting the female population worldwide. Prognosis and management of breast cancer are influenced by variables such as stage, grade, and hormone receptor status. Tumours that express ER and/or PR have a better prognosis and most of them respond well to hormonal therapy. In addition to hormone receptors, HER2 has emerged in recent years as an important independent predictive marker.Methods: All surgically operated female cases of breast carcinoma which were submitted for immunohistochemistry test for estrogen, progesterone and human epidermal growth factor receptor-2 in the Department of Pathology, MGM Medical College, Aurangabad for the duration of December 2015 to October 2017 were included in this prospective study. A total of 50 patients were taken up for the study.Results: The maximum age of the patients were in the 4th -5th decade and were mostly premenopausal. The tumour was maximum involving the right breast, upper outer quadrant and were BI-RADS 4. Majority were grade 2 and were invasive ductal carcinoma. Hormone receptor status showed ER positivity 48%, PR positivity 46% and HER2 positivity 28%.Conclusions: So, to conclude, immunohistochemical analysis of ER, PR and HER2 receptors is widely available at a reasonable cost and provides valuable prognostic, predictive and therapeutic information. Although we could see different patterns of hormonal receptor status, irrespective of the histological grade, type and lymph node status in our study, HER2 testing along with ER/PR status should be performed routinely in all the patients diagnosed of breast cancer as this will help the clinicians to manage the patients further

    Comparison of neonatal birthweights and fetomaternal outcomes in gestational diabetes-on diet, metformin and insulin

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    Background: Review suggested that neonatal birthweight in insulin group was higher than in metformin and diet and metformin had overall better fetomaternal outcomes. We wanted to understand the trend in the patients visiting our hospital.Methods: This is an observational comparative study conducted in Department of Obstetrics and Gynaecology, AIMS Kochi from 2019-2021. All antenatal patients were screened and total of 153 patients meeting inclusion and exclusion criteria were studied. The data was collected and analysed using SPSS 20 software.Results: The neonatal birthweight the three groups were comparable, with no significant difference (3.05±0.42 kgs in diet; 2.92±0.37 kgs in metformin; 3.11±0.41 kgs in insulin; p=0.092) and maternal pre-pregnancy weight was associated with birthweight. Insulin group had higher age (31.17±5.54 years versus 27.59±4.62 years in OHA and 29.43±4.56 years in diet; p<0.001). Insulin group delivered at an earlier gestation (37 weeks versus 38 weeks; p<0.001) and most common mode of delivery was cesearean section (74.6% in insulin; 54.2% in diet and 49.8% in OHA). NICU admission (45.8% versus 10.8% in diet and 15.4% in OHA; p<0.001) and need for phototherapy (1.5% in metformin versus 5.4% in diet and 11.8% in insulin; p=0.067) was lesser in metformin group.Conclusions: Strict glycemic control is important in preventing macrosomia Metformin overall has good fetomaternal outcomes compared to diet or insulin

    Physics-informed Neural Networks approach to solve the Blasius function

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    Deep learning techniques with neural networks have been used effectively in computational fluid dynamics (CFD) to obtain solutions to nonlinear differential equations. This paper presents a physics-informed neural network (PINN) approach to solve the Blasius function. This method eliminates the process of changing the non-linear differential equation to an initial value problem. Also, it tackles the convergence issue arising in the conventional series solution. It is seen that this method produces results that are at par with the numerical and conventional methods. The solution is extended to the negative axis to show that PINNs capture the singularity of the function at $\eta=-5.69

    Performance evaluation of a common effluent treatment plant for tannery industries

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    Tannery is one of the oldest industries in the world and is one of the fastest developing industries in India. It is one of the problematic industries in India which generate high quantum of wastewater with high TDS and toxicity due to chromium. Hence, discharge of tannery effluent is a very serious issue. Many conventional treatment processes has been carried out in these industry before the discharge of effluent. One of the most common treatment process applied is biological treatment process by activated sludge process and upflow anaerobic sludge blanket process. Due to the high cost of installation for this treatment process, in many of the small scale tannery industries in India, the wastewater treatment is carried out in common effluent treatment plant (CETP). In the present study the performance of CETP for tannery effluent in terms of Biological oxygen demand (BOD),&nbsp; Chemical oxygen demand (COD), Total suspended solids (TSS), Total dissolved solids (TDS), and by water tracer studies using Rhodamine. ETP showed a removal efficiency of BOD-66%, COD- 21%, TSS-21% and TDS-5%. The study revealed that ETP has to be redesigned based on the characteristics of influent wastewater in order to meet the Pollution Control Board prescribed standard limits for ETP.&nbsp; &nbsp

    A retrospective study on the clinical picture of COVID-19 patients associated with type 2 diabetes mellitus in India

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    Background: The clinical characterization of COVID varies from mild to severe. In the initial phases of the disease, symptoms like fever, cough, and dyspnea can occur. The severity and outcome of COVID vary with preexisting conditions, particularly type 2 diabetes mellitus (T2DM). Objective of current study was to assess the clinical presentation and laboratory derangements of COVID-19 patients associated with T2DM.Methods: The present retrospective study was started after the approval of the Institutional Ethics Committee. Various clinical (Sp02, final diagnosis, co-morbidity, and outcome) and biochemical parameters (CBC, LFT, RFT, LDH, Trop I, CK-MB D-dimer, CRP, ferritin levels, RBS, HbA1c) of Covid-19 patients were collected from Central Laboratory and & Medical Record Department of our institution. Patient names were anonymized and data were analyzed. The results are expressed in percentages.Results: A total of 24 COVID-19 patients (with T2DM) details were collected from the medical record department and central laboratory. Out of 24 patients, 16 (66.6%) were male, and the remaining 08 (33.3%) were female. Out of 24, 05 patients had mild covid, 02 were moderate and the remaining 17 suffered from severe COVID. The mean values of oxygen saturation, LDH, D-dimer, Troponin-I, CRP, Ferritin, Procalcitonin, and CK-MB were 76%, 797.3 U/l, 1614.2 ng/ml, 6.93 ng/ml, 72.6 mg/dl, 521.2 µg/l, 2.33 µg/l and 40.59 ng/ml respectively. The average random blood sugar level and glycosylated hemoglobin were 308.8 mg/dl and HbA1c 10.22%. Mean values of 42.5 mg/dl and 1.54 mg/dl were recorded for blood urea and S. creatinine. Regarding liver function test, mean values of 0.87 mg/dl, 0.37 mg/dl, 0.49mg/dl, 344.8U/l, 115.6U/l,108U/l respectively noted for total bilirubin, direct, indirect, SGOT, SGPT and ALP. Regarding patient outcome, 09 (37.5%) patients recovered and 15 (62.5%) died due to COVID. The values of glycosylated Hb and random blood sugar among the 15 patients who died due to covid infection suggested uncontrolled diabetes Mellitus in 7 of them with associated hypertension and died due to septic shock. Conclusions: Though the laboratory mean values of the liver function test and renal function test shows moderate variations the mean values of CRP, LDH, Procalcitonin, and Ferritin which are the acute inflammatory markers are highly disrupted when compared to normal ranges. 
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