Analysis of seed protein diversity in Cicer arietinum L. genotypes with different seed coat colour using SDS-PAGE

SDS-PAGE technique was used for the study of seed protein polymorphism among three genotypes of Cicer arietinum with different seed coat colour. A total of 24 polypeptide bands were recorded. Out of these 20 were common among all three genotypes and 4 (16.66%) were polymorphic. The data analysis using UPGMA clustering revealed that genotypes with C2 (dark brown) and C3 (black) were closer as compared to genotype with C1 (light brown) coat colour. Jaccard similarity coefficient value ranged from 0.87 to 0.92. The similarity matrix was subjected to UPGMA clustering to generate dendrogram. The most closely revealed genotypes were C2 (dark brown) and C3 (black) with the highest similarity index 0.92 whereas, C1 (light brown) showed minimum similarity index with C3 (black) genotype 0.87. Each of three genotypes of C.arietinum had some polypeptide bands which were peculiar to them only. This enabled distinguishing all three genotypes on the basis of specific polypeptide fragments using SDS-PAGE analysis

Decentralised Service Allocation using Blockchain

The growing demand for short-term property renting has led to the boom of a new category called PropTech (Property + Technology). Such a rise in demand attracted many entrepreneurs and investors leading to the inception of powerful and centralised players in the category (like Airbnb). Unfortunately, some big players are controlling the entire industry in a centralised way in turn, performing anti-competitive practices which leave no room for the small players. Such an ecosystem can be made more transparent and decentralised by executing transactions and order-fulfilment on a blockchain. To extend the functionality of the system, we can also perform the renting of small services and appliances via the integration of IoT. Implementing such a system will make the process more transparent, robust and decentralised.Comment: 5 page

To Study the Incidence & Various Causes of Maternal Mortality in OBGY Dept

Background & Methods: The aim of the study is to study incidence & various causes of maternal mortality in OBGY Dept. All causes of maternal mortality particularly direct causes of maternal mortality for which management usually involves maternity care professional. Convulsion during pregnancy or in the 1st - 10 days postpartum together with at least two of the following features within 24 hrs after convulsion. BP> 170/110 mmHg, proteinuria > 1 + on random dipstick or > 0.3 g in 24 hours, thrombocytopenia <100x109/L increased aspartate aminotransferase > 42 u/I.Results: 37.32% Maternal Death occurred in Primi Patients out of 418 cases of Maternal Death. 50.25% Maternal Death occurred in direct cases out of 400 cases. We found ANC 84.50% & PNC 15.50%. We found maximum mortality in Toxemia (35.25%), followed by Severe Anemia (13.5%).Conclusion: Age wise Mortality is more in 21-30 yrs, i.e. 65.5% & teen age 15-20 yrs mortality is 24.75%. 50.25% cases were Direct & 49.75% cases were referred from peripheral areas. Out of all cases 84.50% cases reported with ANC & 15.50% cases PNC. According to my observation cause of deaths are – 35.25% due to eclampsia/ toxemia/PIH, 27.5% cases due to Severe anemia/APH/PPH & remaining due to septicemia, Abruptio/Ectopic/Hepatic coma/Dengue/HIV/Ruptured Uterus etc

To evaluate the reliability of Urea and Creatinine values in vaginal wash fluid for the diagnosis of PROM

Background & Methods: The aim of the study is to evaluate the reliability of urea and creatinine values in vaginal wash fluid for the diagnosis of PROM. Study performed on pregnant women in the third trimester between 28 and 37 weeks of gestation with history of possible leakage of amniotic fluid at tending in the department of Obstetrics and Gynaecology. Results: Total 50 subjects were recruited. Group 1 is PROM confirmed 25 subjects . Group 2 were controls and in each group 25 subjects were allotted. The comparison of co-morbidity between study groups in vaginal wash fluid to diagnosis the high rupture of membrane. Around 24% of subjects had co-morbidity in PROM confirmed category. Conclusion: In PROM confirmed subject urea level was 9.99 ± 4.16 and in controls it was around 4.12 ± 2.65. This shows that both PROM confirmed and suspected subjects had increased urea level than the control group. Thus urea and creatinine levels in vaginal wash fluid serves as an excellent diagnostic marker in diagnosing premature rupture of membrane. In conclusion, our study demonstrated that the measurement of vaginal fluid urea and creatinine is a simple and reliable test for diagnosis of PROM

To Determine Incidence & Favorable Factors of Vaginal Birth after Caesarean

Background & Methods: The aim of the study is to determine incidence & favorable factors of Vaginal birth after Caesarean. Patients who reached in hospital were already in established labour. Carefully examination done, patient prepare for cesarean section. Blood arranged.Results: Any prior vaginal delivery increase chance of VBAC. In our study 17 % patient having prior VBAC. 21% having prior normal vaginal delivery. In our study incidence of VBAC found in: 100 previous c-section admitted in which VBAC were 08, incidence is 08.Conclusion: According to the World Health Organization, a rate of 10% to 15% may be more desirable. Repeat c-section is not always necessary; successful VBAC could decrease these numbers, but not all women who are eligible attempt it. In 1995, only 32% of candidates attempted vaginal birth after cesarean section. The increase in c-sections over the past decades is attributed to many factors including fetal monitoring, which indicates when the fetus is in danger, medical-legal reasons, and delivery of breech infants. In patients who had a c-section performed because of dystocia (abnormal or difficult labor), the success rate is lower

Study and Development of Digital Task Scheduling at Hierarchical Level on Cloud as Per Demand

Task Scheduling System is a system for maintaining and managing the schedules and related details about the employees work. To do so a computerized system is developed for scheduling the task of employees. Organization can covers internal functionality of task affectivity through existing system. But problem faced by the organization that once outsider comes for specific period the scheduling not happen up to mark. Every organization wants skilled people but in real it's not possible, the best way is share them with proper scheduling. To solve this problem it require to create a global task management system which is able to specify the work of each staff and indicate the responsibility to end user. After study the similar type of working organization I found that generic business model require to executing for organization, which helps to save money and cost and give quality work for organization

Architecture to Increase Parallelism in Multisite Testing by Reducing I/O Scan Pins

Performing quality control on any system-on-a-chip (SoC) requires testing wafers and packages at multiple sites to save testing time and costs. Currently, the parallelism feasible with multisite testing is limited by the number of Input/Outputs (IOs) required because typical testers provide only a limited number of IO channels. This disclosure describes a circuit architecture to reduce the number of scan IN and scan OUT pins for multisite SoC testing by providing scan INs and scan OUTS from the same input port. The scan OUT comparison can then be performed internally within the SoC via one status bit. The status bit can be implemented as dedicated IO, or can be captured in a register that is read via the Joint Test Action Group (JTAG) interface on Test Data Output (TDO). The techniques can be implemented to support any type of multisite testing within any SoC. Implementation of the techniques can help achieve higher parallelism in multisite testing. The increase in parallelism can yield substantial time and cost savings, providing higher throughput and lower time to market

MELATONIN AMELIORATES FLUORIDE INDUCED NEUROTOXICITY IN YOUNG RATS: AN IN VIVO EVIDENCE

Objective: Developing brain is highly vulnerable to environmental toxins. Recently, fluoride was declared as a developmental neurotoxin and heralded search for natural neuroprotectant. In the present study, we have evaluated the neuroprotective and anti-inflammatory efficacy of melatonin in fluoride induced neurotoxicity.Methods: Animals were divided into following groups; the first group was used as control. Groups 2, 3 and 4 were treated with melatonin (10 mg/kg BW), sodium fluoride (NaF 4 mg/kg BW) and NaF (4 mg/kg BW) plus melatonin (10 mg/kg BW) respectively. Young rats were orally administered their respective doses daily for 60 days. Biochemical and behavioral analysis were performed. The level of proinflammatory cytokine, tumor necrosis factor alpha (TNF-a) was also determined.Results: Data obtained showed that NaF significantly (p<0.001) increased thiobarbituric acid reactive substances (TBARS), ROS concentration and decreased the activities of glutathione (GSH) and glutathione peroxidase (GPx). On the other hand, melatonin plus NaF treated group showed significant decrease in the levels of TBARS and ROS while it increased the activities of antioxidant enzymes and glutathione content. In addition, melatonin significantly attenuated fluoride-induced increase in the TNF-α level of brain. Melatonin also prevented the cognitive deficit as shown by the increased retention latency in the passive avoidance task (p<0.001).Conclusion: The present study suggests that melatonin has therapeutic potential since it suppresses fluoride induced inflammation, cognitive impairment and oxidative stress in the brain. Key words: Oxidative stress, Inflammation, Melatonin, TNF- α, Fluoride

Intravenous verses oral iron supplementation for anaemia of pregnancy in the arid region of Western India: a retrospective cohort study

Background: India has a high prevalence of anemia in pregnant females, resulting greater risk of blood transfusion and its associated complications during the peripartum period. Administration of intravenous iron sucrose may reduce such a risk. Due to a greater prevalence in western arid region of India, this study was planned to compare efficacy and safety of intravenous iron sucrose and oral ferrous ascorbate in the treatment of iron deficiency anemia of pregnancy in a community health center of rural Jodhpur.Methods: A retrospective cohort study was conducted in Community Health Center of Jodhpur to review the heamoglobin values of pregnant females in 28 to 37 weeks of gestation, treated with either intravenous iron sucrose or oral iron ascorbate. Cohorts were matched based on parity and age, and the hemoglobin values after 2, 4 and 6 weeks of start of therapy were compared using independent t-test.  Results: Of the 152 pregnant females’ records included in the study, 82 were provided intravenous therapy and 70 were given oral iron therapy. Both the modes of administration showed marked increase in heamoglobin values, with statistically more significant rise through parenteral route at each point of measurement. Overall change in mean heamoglobin was 2.43 g/dl through iv route and 0.61 g/dl through oral route (p<0.001). Adverse events following therapy were reported by 9 females from intravenous group and 31 women from oral group.Conclusions: The study provided evidence that parenterally administered iron sucrose elevated hemoglobin and restored iron stores better than oral ferrous ascorbate with lesser adverse reactions

Transformer-based Flood Scene Segmentation for Developing Countries

Floods are large-scale natural disasters that often induce a massive number of deaths, extensive material damage, and economic turmoil. The effects are more extensive and longer-lasting in high-population and low-resource developing countries. Early Warning Systems (EWS) constantly assess water levels and other factors to forecast floods, to help minimize damage. Post-disaster, disaster response teams undertake a Post Disaster Needs Assessment (PDSA) to assess structural damage and determine optimal strategies to respond to highly affected neighbourhoods. However, even today in developing countries, EWS and PDSA analysis of large volumes of image and video data is largely a manual process undertaken by first responders and volunteers. We propose FloodTransformer, which to the best of our knowledge, is the first visual transformer-based model to detect and segment flooded areas from aerial images at disaster sites. We also propose a custom metric, Flood Capacity (FC) to measure the spatial extent of water coverage and quantify the segmented flooded area for EWS and PDSA analyses. We use the SWOC Flood segmentation dataset and achieve 0.93 mIoU, outperforming all other methods. We further show the robustness of this approach by validating across unseen flood images from other flood data sources.Comment: Presented at NeurIPS 2021 Workshop on Machine Learning for the Developing Worl