Effects of Noise on Galaxy Isophotes

The study of shapes of the images of objects is an important issue not only because it reveals its dynamical state but also it helps to understand the object's evolutionary history. We discuss a new technique in cosmological image analysis which is based on a set of non-parametric shape descriptors known as the Minkowski Functionals (MFs). These functionals are extremely versatile and under some conditions give a complete description of the geometrical properties of objects. We believe that MFs could be a useful tool to extract information about the shapes of galaxies, clusters of galaxies and superclusters. The information revealed by MFs can be utilized along with the knowledge obtained from currently popular methods and thus could improve our understanding of the true shapes of cosmological objects.Comment: 3 pages, 1 figure, to appear in "The IGM/Galaxy Connection - The Distribution of Baryons at z=0" Conference Proceeding

Improving Search through A3C Reinforcement Learning based Conversational Agent

We develop a reinforcement learning based search assistant which can assist users through a set of actions and sequence of interactions to enable them realize their intent. Our approach caters to subjective search where the user is seeking digital assets such as images which is fundamentally different from the tasks which have objective and limited search modalities. Labeled conversational data is generally not available in such search tasks and training the agent through human interactions can be time consuming. We propose a stochastic virtual user which impersonates a real user and can be used to sample user behavior efficiently to train the agent which accelerates the bootstrapping of the agent. We develop A3C algorithm based context preserving architecture which enables the agent to provide contextual assistance to the user. We compare the A3C agent with Q-learning and evaluate its performance on average rewards and state values it obtains with the virtual user in validation episodes. Our experiments show that the agent learns to achieve higher rewards and better states.Comment: 17 pages, 7 figure

Molecular Organization in Site-Specific Recombination: The Catalytic Domain of Bacteriophage HP1 Integrase at 2.7 Å Resolution

AbstractHP1 integrase promotes site-specific recombination of the HP1 genome into that of Haemophilus influenzae. The isolated C-terminal domain (residues 165–337) of the protein interacts with the recombination site and contains the four catalytic residues conserved in the integrase family. This domain represents a novel fold consisting principally of well-packed α helices, a surface β sheet, and an ordered 17-residue C-terminal tail. The conserved triad of basic residues and the active-site tyrosine are contributed by a single monomer and occupy fixed positions in a defined active-site cleft. Dimers are formed by mutual interactions of the tail of one monomer with an adjacent monomer; this orients active-site clefts antiparallel to each other

Caesarean section in a tertiary care centre

Background: Caesarean section constitutes a major surgical procedure characterized with morbidity even if it is performed a planned procedure. Postoperative infection in obstetrics continues to affect the practice of every surgeon. Infection can cause an increase in patient’s stay in the hospital, create discomfort, cause disfigurement and lead to morbidities to the patient. Thus, preventive measures need to be constantly evaluated and updated and hence authors have to study and analyse prevalence of postoperative infectious morbidities.Methods: The study was conducted in an Urban Based Medical College Hospital in Ahmedabad. It was a retrospective cross-sectional study of 50 cases of patients who suffered infectious complications post caesarean from 1st March 2019 to 31st March 2020.Results: The prevalence rate of surgical site infection in my study is 5.9% whereas of post-operative puerperal sepsis is 0.6%, of post-operative urinary tract infection is 1.09%, of post-operative breast abnormalities is 0.16%. The most common infectious morbidity amongst all was surgical site infection (surgical site) infection and its prevalence was 5.9%.Conclusions: The development of post-operative infection is an important event that can be prevented by taking proper precautions and following prescribed guidelines. There should be specific use of antibiotics in the post-operative period. In the event of early signs of sepsis antibiotics should be administered properly as per culture sensitivity report. The decrease in infection rate also indirectly reduce the health costs involved in treating them post operatively

The Distal Human myoD Enhancer Sequences Direct Unique Muscle-Specific Patterns of lacZ Expression during Mouse Development

AbstractTransgenic mice carrying the bacterial lacZ reporter gene under the control of the regulatory elements of the human myoD gene have been produced. The developmental expression of the myoD reporter transgene in somites, limb buds, visceral arches, and cephalocervical regions was studied in transgenic embryos by β-gal staining. In somites, the spatiotemporal pattern of transgene expression was different from other muscle-specific regulatory and structural genes and revealed that myoD-expressing cells arise in distinct patterns in somites that are dependent on position along the anterior-posterior (AP) body axis (occipital and cervical vs thoracic and more posterior myotomes). Transgene expression did not follow a strict anterior to posterior sequence of activation and therefore was not strictly correlated with somite developmental age. Moreover, the pattern of transgene expression along the dorsal-ventral myotomal axis was dependent on somite position along the anterior-posterior axis. While myoD expression is first detected after the myotome is well-formed, transgene expression in the dorsal and ventral medial lips of the dermatome suggests a function for myoD in the expansion of the myotome. Whole-mount in situ hybridization confirmed that these unique patterns of transgene expression in somites, as well as expression in limb buds, visceral arches, and other myogenic centers, are concordant with the distribution of endogenous myoD transcripts. These results shed new light on the developmental differences between myotomes at different positions along the AP and DV axis and demonstrate a unique axial pattern of somitic myoD expression, suggesting a specific role of myoD in myotome lineage determination and differentiation

Hysteretic behavior of bladder afferent neurons in response to changes in bladder pressure

Abstract Background Mechanosensitive afferents innervating the bladder increase their firing rate as the bladder fills and pressure rises. However, the relationship between afferent firing rates and intravesical pressure is not a simple linear one. Firing rate responses to pressure can differ depending on prior activity, demonstrating hysteresis in the system. Though this hysteresis has been commented on in published literature, it has not been quantified. Results Sixty-six bladder afferents recorded from sacral dorsal root ganglia in five alpha-chloralose anesthetized felines were identified based on their characteristic responses to pressure (correlation coefficient ≥ 0.2) during saline infusion (2 ml/min). For saline infusion trials, we calculated a maximum hysteresis ratio between the firing rate difference at each pressure and the overall firing rate range (or Hmax) of 0.86 ± 0.09 (mean ± standard deviation) and mean hysteresis ratio (or Hmean) of 0.52 ± 0.13 (n = 46 afferents). For isovolumetric trials in two experiments (n = 33 afferents) Hmax was 0.72 ± 0.14 and Hmean was 0.40 ± 0.14. Conclusions A comprehensive state model that integrates these hysteresis parameters to determine the bladder state may improve upon existing neuroprostheses for bladder control.http://deepblue.lib.umich.edu/bitstream/2027.42/134628/1/12868_2016_Article_292.pd

SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes

Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increasingly important role in psychological and behavioral health research. This experimental approach enables researchers to answer scientific questions about how to sequence and match interventions to the unique, changing needs of individuals. A variety of sample size planning resources for SMART studies have been developed in recent years; these enable researchers to plan SMARTs for addressing different types of scientific questions. However, relatively limited attention has been given to planning SMARTs with binary (dichotomous) outcomes, which often require higher sample sizes relative to continuous outcomes. Existing resources for estimating sample size requirements for SMARTs with binary outcomes do not consider the potential to improve power by including a baseline measurement and/or multiple repeated outcome measurements. The current paper addresses this issue by providing sample size simulation code and approximate formulas for two-wave repeated measures binary outcomes (i.e., two measurement times for the outcome variable, before and after receiving the intervention). The simulation results agree well with the formulas. We also discuss how to use simulations to calculate power for studies with more than two outcome measurement occasions. The results show that having at least one repeated measurement of the outcome can substantially improve power under certain conditions.Comment: 73 pages, 2 figures, submitted to Multivariate Behavioral Researc

A combined computational-experimental approach to define the structural origin of antibody recognition of sialyl-Tn, a tumor-associated carbohydrate antigen.

Anti-carbohydrate monoclonal antibodies (mAbs) hold great promise as cancer therapeutics and diagnostics. However, their specificity can be mixed, and detailed characterization is problematic, because antibody-glycan complexes are challenging to crystallize. Here, we developed a generalizable approach employing high-throughput techniques for characterizing the structure and specificity of such mAbs, and applied it to the mAb TKH2 developed against the tumor-associated carbohydrate antigen sialyl-Tn (STn). The mAb specificity was defined by apparent KD values determined by quantitative glycan microarray screening. Key residues in the antibody combining site were identified by site-directed mutagenesis, and the glycan-antigen contact surface was defined using saturation transfer difference NMR (STD-NMR). These features were then employed as metrics for selecting the optimal 3D-model of the antibody-glycan complex, out of thousands plausible options generated by automated docking and molecular dynamics simulation. STn-specificity was further validated by computationally screening of the selected antibody 3D-model against the human sialyl-Tn-glycome. This computational-experimental approach would allow rational design of potent antibodies targeting carbohydrates