Role of oral misoprostol 600 mcg in active management of third stage of labour: a comparative study with carboprost 125 mcg, intramuscular

Background: Objectives: To compare misoprostol 600 mcg, oral with carboprost 125 mcg, i.m., in the active management of third stage of labour.Methods: A total of 200 pregnant women of 38-42 weeks of gestation delivering vaginally in the Shivamogga institute of medical sciences, Shivamogga, Karnataka, India were selected for study. 100 women received misoprostol 600 mcg, orally and 100 women received carboprost 125 mcg, i.m. immediately after delivery of baby and cord clamping by the method of randomisation.Results: In the misoprostol group, mean blood loss is 134.9 ml, mean duration of the third stage of labour is 4.07 min and mean fall in hemoglobin is 0.34 g/dl. In the carboprost group, mean blood loss is 123.7 ml, mean duration of the third stage of labour is 3.73 min and mean fall in hemoglobin is 0.28 g/dl. There was no significant difference between the two groups with regard to the above mentioned factors. There were 5 cases of PPH in the misoprostol group and 3 cases in the carboprost group. 21 cases in the misoprostol group and 14 cases in the carboprost group required additional oxytocics. Unpleasant side effects like diarrhoea and vomiting were more in carboprost group.  Conclusion: Oral misoprostol is as effective as carboprost in AMTSL and can be used safely in vaginal deliveries for prevention of PPH, especially in non-institutional deliveries and in places of low resource settings.

Network Intrusion Detection Method Using Stacked BILSTM Elastic Regression Classifier with Aquila Optimizer Algorithm for Internet of Things (IoT)

Globally, over the past ten years, computer networks and Internet of Things (IoT) networks have grown significantly due to the increasing amount of data that has been collected, ranging from zettabytes to petabytes. As a result, as the network has expanded, security problems have also emerged. The large data sets involved in these types of attacks can make detection difficult. The developing networks are being used for a multitude of sophisticated purposes, such as smart homes, cities, grids, gadgets, and objects, as well as e-commerce, e-banking, and e-government. As a result of the development of numerous intrusion detection systems (IDS), computer networks are now protected from security and privacy threats. Data confidentiality, integrity, and availability will suffer if IDS prevention efforts fail. Complex attacks can't be handled by traditional methods.  There has been a growing interest in advanced deep learning techniques for detecting intrusions and identifying abnormal behavior in networks. This research aims to propose a novel network namely stacked BiLSTM elastic regression classifier (Stack_BiLSTM-ERC) with Aquila optimizer algorithm for feature selection. This optimization method computes use of a cutting-edge transition function that enables it to be transformed into a binary form of the Aquila optimizer. A better solution could be secured once number of possible solutions are found from diverse regions of the search space utilizing the Aquila optimizer method. NSL-KDD and UNSW-NB15 are two datasets that enable learning characteristics from the raw data in order to detect harmful prerequisites characteristics and effective framework patterns. The proposed Stack_BiLSTM-ERC achieves 98.l3% of accuracy, 95.1% of precision, 94.3% of recall and 95.4 of F1-score for NSL-KDD dataset. Moreover, 98.6% of accuracy, 97.2% of precision, 98.5 of recall and 97.5% of F1-score

Intravenous paracetamol infusion versus intramuscular tramadol as an intrapartum labor analgesic

Background: The objective of the study was to compare intravenous paracetamol and intramuscular tramadol as labor analgesics.Methods: This prospective-randomized study conducted in 200 primigravidae in active labor, distributed into two groups of 100 women each with one receiving intravenous 1,000 mg Paracetamol and other 100 mg intramuscular tramadol. Pain intensity is recorded by McGills scale before, one and 3 h after drug administration. Perinatal outcome is recorded.Results: No difference in pain intensity is seen before drug administration. After 1 h of drug administration, in paracetamol group, 4 % women had horrible pain, and 28 % had distressing pain, while in tramadol group, 30 % women had horrible pain, and 60 % had distressing pain. After 3 h of drug administration, in paracetamol group, 26 % had distressing pain, while in tramadol group, 50 % women had horrible pain, and 36 % had distressing pain. Labor duration in paracetamol and tramadol group was 4.6 and 6.0 h, respectively. In paracetamol group, nausea is seen in 2.2 % and vomiting in 1.1 %, while in tramadol group, nausea is seen in 6.4 % and vomiting in 4.3 %.Conclusions: Intravenous paracetamol is more effective labor analgesic with fewer maternal adverse effects and shortens labor as compared to intramuscular tramadol

PPIUCD versus interval IUCD (380a) insertion: a comparative study in a referral hospital of Karnataka, India

Background: Comparative evaluation of PPIUCD and interval IUCD in terms of incidence of failure, expulsions, bleeding p/v and other complications.Methods: Total 200 willing women after counseling in antenatal, early labour or post natal were inserted PPIUCD after excluding chorioamnionitis, PROM >18hrs, unresolved PPH, puerperal sepsis. Another 100 willing women were inserted interval IUCD after excluding contraindications. All were followed up to 6 months.Results: Expulsions rate was significantly higher in PPIUCD as compared to interval insertions (5.5% v/s 5%). Number of removal of IUCD was almost similar in both the groups (6.5% V/S 7%). Common causes of PPIUCD removal were social.Conclusions: Postpartum inserting of IUCD is safe effective, feasible and reversible method of contraception

Triple Band Textile Array Antenna with Enhanced Gain and Low SAR for Off Body Communication Applications

A triple band wearable microstrip patch antenna array has been designed and analyzed in this work. The designed antenna can be operated in ISM, LAES and X-Band with moderate average gain of 4.2 dB. The antenna gain has been improved by constructing array structure of 1X2 and 1X4 with good impedance feeding by quarter wave transformer. The proposed array antennas are providing moderate gain of 5.7 dB (1X2) and 8.3 dB (1X4) with efficiency more than 90% in the operating bands. The antenna model and the array has been constructed on wearable substrate with conductive textile as radiating element in the design for off body wearable communication applications. SAR analysis also providing acceptable values below 1.6 w/kg at triple operating bands with body placement experimentation. &nbsp

A study of knowledge, attitude and practice in diabetic retinopathy among patients attending a primary health care centre

Background: Diabetic retinopathy is a major cause of preventable blindness. Sufficient knowledge about the disease can prevent sight threatening complications. Aim of this study is to evaluate the knowledge and its influence on attitude and practice in diabetic retinopathy among patients attending a primary health centre.Methods: A knowledge attitude practice questionnaire was prepared and pretested in a sample group of representative population. The response was analyzed as to whether the questions were understood or not. Social workers were trained in administering questionnaire. Diabetic patients were given questionnaires at primary health centre and filled in the presence of social workers.Results: Out of 324 patients 60.8% had no knowledge of diabetic retinopathy compared to 39.19% who had knowledge (p <0.001). Knowledge was more in age <40 years (82.60%) and least in 51-60 years (29.34%) (p<0.001) and more among females (38.59%) than males (61.4%). Knowledge was significantly higher among upper socioeconomic group (77.8%). About 83.46% in knowledge group had right attitude which was significantly higher than non knowledge group (32.48%) (p<0.001).  42.51% in knowledge group had practice of visiting ophthalmologist for eye check-up which was significantly higher than non knowledge group (13.19%) (p<0.001).Conclusions: The attitude and practice of diabetic retinopathy was statistically significant in knowledge group compared to those who had no knowledge of diabetic retinopathy. Improving knowledge about diabetic retinopathy through awareness campaigns can increase attitude and practice. Early detection can help in preventing sight threatening complications of diabetic retinopathy

A Novel Plant Leaf Ailment Recognition Method using Image Processing Algorithms

In the 21st Century, agriculture still remains the major source of food for human beings and it has far shadowed other sources such as hunting, fishing and gathering. Since environmental conditions are beyond the scope of human control, plant illness identification is acting as a critical position in the agricultural field. This paper suggests a method to replace the traditional methods of identifying disease through the use of “image-processing” techniques. In this study, an image of the leaf of a diseased plant has been taken using a digital camera. Three segmentation algorithms namely Green Pixel Masking, “CIE L*a*b colour space” extraction and H element of HSV extraction have been used to split the image into diseased and healthy regions. The diseased region is then used to calculate 13 parameters which are utilized as inputs by a pre-trained neural network which utilizes “feed-forward back propagation algorithm” to determine the final output. The proposed methodology has achieved a maximum accuracy of 95.62% for Apple leaves, 91.62% for Grape leaves and 91.1% for Tomato leaves

A Novel Plant Leaf Ailment Recognition Method using Image Processing Algorithms

979-984In the 21st Century, agriculture still remains the major source of food for human beings and it has far shadowed other sources such as hunting, fishing and gathering. Since environmental conditions are beyond the scope of human control, plant illness identification is acting as a critical position in the agricultural field. This paper suggests a method to replace the traditional methods of identifying disease through the use of “image-processing” techniques. In this study, an image of the leaf of a diseased plant has been taken using a digital camera. Three segmentation algorithms namely Green Pixel Masking, “CIE L*a*b colour space” extraction and H element of HSV extraction have been used to split the image into diseased and healthy regions. The diseased region is then used to calculate 13 parameters which are utilized as inputs by a pre-trained neural network which utilizes “feed-forward back propagation algorithm” to determine the final output. The proposed methodology has achieved a maximum accuracy of 95.62% for Apple leaves, 91.62% for Grape leaves and 91.1% for Tomato leaves

An Adaptive Staggered Investment Strategy for promotion of residential rooftop solar PV installations in India

Rooftop solar PV in India has seen good progress in the Commercial and industrial sectors, but the progress in the domestic sector is relatively slow due to the high initial installation cost. Thus, there arises the need for good market models for Rooftop Solar (RTS) implementation. This paper conducts a comparative study of workable RTS market models by employing the discounted cash flow method, as per the recent regulatory guidelines. Market models are formulated and tested for a typical residential high-rise apartment complex in India comprising 15 storied buildings with a combined maximum demand of 180kVA. The results suggest that the centralized community RTS model of 80kWp capacity with upfront financing is suitable when compared to the decentralized individual model, as it has the lowest levelized cost of 3.39 ₹/kWh and a payback period of 5.5 years. With the federal subsidy, the prosumer levelized cost reduces to 2.06 ₹/kWh with a payback period of 3.3 years. Thus grid parity is achieved for all tariff tier rates. With adaptive staggering strategy, this scheme is validated to be more attractive for the urban residential microgrids, as the solar installation of 80kWp and its cost can be staggered and even reduced over the planning period. Hence capital installation and operation costs can be distributed over the stipulated time interval. The study result gives RTS stakeholders insight into selecting  the most cost-effective market model to suit their requirements. Financial analysis of the proposed models provides input to the customers, developers, and policymakers to assess the financial merit of adopting the suitable business model for RTS development. The proposed analysis can be replicated for high-rise residential buildings, especially in cities with high electricity tariffs. With time, a decrease in solar PV installation price and an increase in grid price are expected; hence, the overall investment cost gets reduced and staggered