Time from Dose to Delivery and Efficacy of Maternal Azithromycin Prophylaxis in Planned Vaginal Births

Objective A Multicenter international placebo controlled randomized trial (APLUS) found that 2g oral azithromycin in labor reduced risk of maternal sepsis and death, but not newborn sepsis Efficacy in prevention of maternal or neonatal infections may be impacted by timing of antibiotics in laborhttps://jdc.jefferson.edu/obgynposters/1020/thumbnail.jp

DEVELOPMENT AND VALIDATION OF PATIENT INFORMATION LEAFLET FOR HEART ATTACK PATIENTS

Objective: To prepare a validated heart attack patient information leaflet and to educate and promote the patient knowledge regarding the disease, lifestyle modification, and medication.Methods: The patient information leaflet was prepared by referring to the various literature. The content of the leaflet was validated by ensuring the quality information for patient's method. Baker able leaflet design has been applied to develop the layout and design of the PILS and readability by Flesch readability score.Results: The mean validity score by EQIP method achieved for the leaflet was 84.9%. Flesch readability score is 72.4. Scoring for the leaflet's layout and design criteria based on baker able leaflet design method was 24. The overall knowledge assessment means score was statistically significant with *P value 0.000.Conclusion: The validated heart attack PILs found to be effective in patients self management

Energy Aware Heuristic approach for Cluster Head Selection in Wireless Sensor Networks

Wireless sensor networks idea is envisioned and defined as self-deployed, error prone, long living inexpensive communication devices that are densely deployed to collect data from physical space. Sensor nodes communicate with each other to detect events depending on the application, to collect and process data, and to transmit the sensed information to the base station by hopping the data from node to node. Major challenge in wireless network is energy consumption, since the sensor devices are deployed on unattended wide areas and replacing their batteries is not very feasible. Therefore, designing energy-aware algorithms becomes a major challenge for extending the lifetime of sensors. The lifetime of the network can be maximized by selecting the most optimal cluster head. In this paper, a heuristic decision making approach is proposed for producing energy-aware clusters with optimal selection of cluster head. This helps to improve the efficiency and accuracy and overcome the drawbacks like getting trapped at a local extreme in the optimization process

NextGen-Malloc: Giving Memory Allocator Its Own Room in the House

Article describes how memory allocation and management have a significant impact on performance and energy of modern applications. The authors observe that performance can vary by as much as 72% in some applications based on which memory allocator is used, and in this paper, the authors make a case for offloading memory allocation (and other similar management functions) from main processing cores to other processing units to boost performance, reduce energy consumption, and customize services to specific applications or application domains

Assessing Genetic Variability for Root Traits and Identification of Trait-Specific Germplasm in Chickpea Reference Set

Chickpea (Cicer arietinum L.) is a major grain legume cultivated largely on residual soil moisture in the arid and semiarid regions of the world. Terminal drought stress is one of the major causes of yield loss, and a deep root system has been recognized as one of the most important traits for enhancing drought adaptability. To diversify the current genetic base of root traits, the present study explored the variation for root traits in the reference set of chickpea (n = 300) germplasm. Genetic variability for root traits at 35 d after sowing was assessed using a polyvinyl chloride (PVC) cylinder culture system in two postrainy seasons. Largest genetic variability was observed for dry weights of shoot (broad-sense heritability [h2] = 0.69–0.74) and root (h2 = 0.52–0.70). For root-length density (h2 = 0.42–0.43) and root/total-plant dry-weight ratio (h2 = 0.32–0.54), h2 values were moderate but the variation was large, indicating scope for selection. The performance of the reference set accessions was identified for each of key traits. Accessions with the best root-length densities along with root and shoot dry weights were found to originate from the Mediterranean region and western Asia emphasizing the importance of whole collection from these regions for superior root traits. This study identified 23 new accessions for widening the parental base in further drought tolerance breeding efforts and identified superior traits in already adapted genetic backgrounds

Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome

This study presents the development and mapping of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in chickpea. The mapping population is based on an inter-specific cross between domesticated and non-domesticated genotypes of chickpea (Cicer arietinum ICC 4958 × C. reticulatum PI 489777). This same population has been the focus of previous studies, permitting integration of new and legacy genetic markers into a single genetic map. We report a set of 311 novel SSR markers (designated ICCM—ICRISAT chickpea microsatellite), obtained from an SSR-enriched genomic library of ICC 4958. Screening of these SSR markers on a diverse panel of 48 chickpea accessions provided 147 polymorphic markers with 2–21 alleles and polymorphic information content value 0.04–0.92. Fifty-two of these markers were polymorphic between parental genotypes of the inter-specific population. We also analyzed 233 previously published (H-series) SSR markers that provided another set of 52 polymorphic markers. An additional 71 gene-based SNP markers were developed from transcript sequences that are highly conserved between chickpea and its near relative Medicago truncatula. By using these three approaches, 175 new marker loci along with 407 previously reported marker loci were integrated to yield an improved genetic map of chickpea. The integrated map contains 521 loci organized into eight linkage groups that span 2,602 cM, with an average inter-marker distance of 4.99 cM. Gene-based markers provide anchor points for comparing the genomes of Medicago and chickpea, and reveal extended synteny between these two species. The combined set of genetic markers and their integration into an improved genetic map should facilitate chickpea genetics and breeding, as well as translational studies between chickpea and Medicago

Early pregnancy loss in Belagavi, Karnataka, India 2014–2017: a prospective population-based observational study in a low-resource setting

Background The prevalence of early pregnancy loss through miscarriage and medically terminated pregnancy (MTP) is largely unknown due to lack of early registration of pregnancies in most regions, and especially in low- and middle-income countries. Understanding the rates of early pregnancy loss as well as the characteristics of pregnant women who experience miscarriage or MTP can assist in better planning of reproductive health needs of women. Methods A prospective, population-based study was conducted in Belagavi District, south India. Using an active surveillance system of women of childbearing age, all women were enrolled as soon as possible during pregnancy. We evaluated rates and risk factors of miscarriage and MTP between 6 and 20 weeks gestation as well as rates of stillbirth and neonatal death. A hypothetical cohort of 1000 women pregnant at 6 weeks was created to demonstrate the impact of miscarriage and MTP on pregnancy outcome. Results A total of 30,166 women enrolled from 2014 to 2017 were included in this analysis. The rate of miscarriage per 1000 ongoing pregnancies between 6 and 8 weeks was 115.3, between 8 and 12 weeks the miscarriage rate was 101.9 per 1000 ongoing pregnancies and between 12 and 20 weeks the miscarriage rate was 60.3 per 1000 ongoing pregnancies. For those periods, the MTP rate was 40.2, 45.4, and 48.3 per 1000 ongoing pregnancies respectively. The stillbirth rate was 26/1000 and the neonatal mortality rate was 24/1000. The majority of miscarriages (96.6%) were unattended and occurred at home. The majority of MTPs occurred in a hospital and with a physician in attendance (69.6%), while 20.7% of MTPs occurred outside a health facility. Women who experienced a miscarriage were older and had a higher level of education but were less likely to be anemic than those with an ongoing pregnancy at 20 weeks. Women with MTP were older, had a higher level of education, higher parity, and higher BMI, compared to those with an ongoing pregnancy, but these results were not consistent across gestational age periods. Conclusions Of women with an ongoing pregnancy at 6 weeks, about 60% will have a living infant at 28 days of age. Two thirds of the losses will be spontaneous miscarriages and one third will be secondary to a MTP. High maternal age and education were the risk factors associated with miscarriage and MTP. Trial registration The trial is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475