1,646 research outputs found
Maternal outcome amongst all deliveries of nullipara in spontaneous labor at term ≥37 weeks at a tertiary health care center in south Gujarat, India
Background: Since last one decade there is rising concern over increasing rate of caesarean section in all over world, especially among nulliparous women. The national prevalence of CS in India has modestly increased over the past 25 years. According to data from the National Family Health Survey, the national CS rate in 1992-93 was 2.6% and rose to 17.2% in 2015-16. Study objective was to evaluate fetomaternal outcome of Nullipara >=37wks pregnancy in spontaneous labor.
Methods: This prospective observational study was done at Obstetrics and Gynaecology Department of New Civil Hospital Surat for 6 months period after official approval from Ethical Committee.
Results: In my study 65% subjects had normal vaginal delivery, 34% subjects had cesarean section and 1% had operative vaginal delivery. In comparison between total no. Of ANC visit and postpartum/intrapartum complication p-value is 0.003 which is p <0.05, which is significant, which suggests that women with 4 or less total ANC visits have higher risk of developing postpartum/intrapartum complication than women with more than 4 total ANC visits.
Conclusions: The primary caesarean section among nulliparous singleton pregnancy with spontaneous labor is an important contributor to overall caesarean section of the health institute. The main indication for caesarean section were fetal distress, cephalo-pelvic disproportion and meconium stained liquor in early phase of labor. There is need to develop standard clinical protocol for management of these conditions and to promote vaginal delivery in nulliparous singleton pregnancy with spontaneous labor in eligible
A new algorithm for instantaneous speed and position estimation of surface-mounted permanent magnet synchronous motors
Session 5-5: Motor Drives II: paper 5-5-1This paper describes a patent-pending method that can be used to estimate the speed and position of surface-mounted permanent magnet synchronous motors (SMPMSM) with cylindrical rotor structure and sinusoidal back emf. The concept involves the use of the power inverter's switching actions and switching current to provide instantaneous real-time information for extracting the speed information. The theory and algorithm are included to explain the proposed concept, which has been verified by simulations on a SMPMSM drive under the control of a sensorless speed control scheme. © 2013 IEEE.published_or_final_versio
Status of soluble vascular cell adhesion molecule-1 in knee osteoarthritis among type 2-diabetic postmenopausal women
Background: Knee osteoarthritis is the most common form of joint disorder and a leading cause of pain and functional disability among elderly female population. Type 2-diabetes is frequently reported comorbidity in elderly female patients with knee osteoarthritis. VCAM-1 is emerging as a strong and independent predictor for severe osteoarthritis. VCAM-1 is an inducible cell surface sialo glycoprotein and mediates heterotypic cellular aggregation. Therefore, the aim of this study is to assess the role of soluble vascular cell adhesion molecule-1 at the onset of knee osteoarthritis among type 2 diabetic postmenopausal women.Methods: The present study includes 100 type 2-diabetic female subjects of age above 50 years as cases and 100 normal healthy female age matched individuals as controls. Osteoarthritis of knee was ascertained using the American college of rheumatology classification criteria. Serum soluble VCAM-1 concentration was measured by ELISA method in all 200 subjects. Biochemical parameters-Fasting blood sugar and lipid profile were measured using Mind ray BS-400 and HbA1c was measured by turbidimetric immunoassay method. Statistical analysis was made by student independent sample t-test. Correlation was determined by using spearman’s rank correlation coefficient.Results: Serum level of soluble VCAM-1 was found statistically highly significant (p<0.001) in type 2 diabetic postmenopausal women having early stage of knee osteoarthritis as compared to control healthy subjects. The mean levels of fasting blood sugar, HbA1c, total cholesterol, TG, LDL-C and VLDL-C were also found significantly increased while HDL-C was found significantly decreased in cases as compared to controls.Conclusions: The increased level of soluble VCAM-1 in type 2 diabetic subjects shows active inflammation or cartilage damage. Therefore, it can be used as an early biomarker for osteoarthritis among type 2 diabetic postmenopausal women
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
The Boolean SATisfiability problem (SAT) is of central importance in computer
science. Although SAT is known to be NP-complete, progress on the engineering
side, especially that of Conflict-Driven Clause Learning (CDCL) and Local
Search SAT solvers, has been remarkable. Yet, while SAT solvers aimed at
solving industrial-scale benchmarks in Conjunctive Normal Form (CNF) have
become quite mature, SAT solvers that are effective on other types of
constraints, e.g., cardinality constraints and XORs, are less well studied; a
general approach to handling non-CNF constraints is still lacking. In addition,
previous work indicated that for specific classes of benchmarks, the running
time of extant SAT solvers depends heavily on properties of the formula and
details of encoding, instead of the scale of the benchmarks, which adds
uncertainty to expectations of running time.
To address the issues above, we design FourierSAT, an incomplete SAT solver
based on Fourier analysis of Boolean functions, a technique to represent
Boolean functions by multilinear polynomials. By such a reduction to continuous
optimization, we propose an algebraic framework for solving systems consisting
of different types of constraints. The idea is to leverage gradient information
to guide the search process in the direction of local improvements. Empirical
results demonstrate that FourierSAT is more robust than other solvers on
certain classes of benchmarks.Comment: The paper was accepted by Thirty-Fourth AAAI Conference on Artificial
Intelligence (AAAI 2020). V2 (Feb 24): Typos correcte
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Slit2N/Robo1 Inhibit HIV-gp120-Induced Migration and Podosome Formation in Immature Dendritic Cells by Sequestering LSP1 and WASp
Cell-mediated transmission and dissemination of sexually-acquired human immunodeficiency virus 1 (HIV-1) in the host involves the migration of immature dendritic cells (iDCs). iDCs migrate in response to the HIV-1 envelope protein, gp120, and inhibiting such migration may limit the mucosal transmission of HIV-1. In this study, we elucidated the mechanism of HIV-1-gp120-induced transendothelial migration of iDCs. We found that gp120 enhanced the binding of Wiskott-Aldrich Syndrome protein (WASp) and the Actin-Related Protein 2/3 (Arp2/3) complex with β-actin, an interaction essential for the proper formation of podosomes, specialized adhesion structures required for the migration of iDCs through different tissues. We further identified Leukocyte-Specific Protein 1 (LSP1) as a novel component of the WASp-Arp2/3-β-actin complex. Pretreating iDCs with an active fragment of the secretory glycoprotein Slit2 (Slit2N) inhibited HIV-1-gp120-mediated migration and podosome formation, by inducing the cognate receptor Roundabout 1 (Robo1) to bind to and sequester WASp and LSP1 from β-actin. Slit2N treatment also inhibited Src signaling and the activation of several downstream molecules, including Rac1, Pyk2, paxillin, and CDC42, a major regulator of podosome formation. Taken together, our results support a novel mechanism by which Slit2/Robo1 may inhibit the HIV-1-gp120-induced migration of iDCs, thereby restricting dissemination of HIV-1 from mucosal surfaces in the host
Role of the cluster structure of Li in the dynamics of fragment capture
Exclusive measurements of prompt -rays from the heavy-residues with
various light charged particles in the Li + Pt system, at an energy
near the Coulomb barrier (E/ 1.6) are reported. Recent dynamic
classical trajectory calculations, constrained by the measured fusion,
and capture cross-sections have been used to explain the excitation energy
dependence of the residue cross-sections. These calculations distinctly
illustrate a two step process, breakup followed by fusion in case of the
capture of and clusters; whereas for He + and He +
configurations, massive transfer is inferred to be the dominant mechanism.
The present work clearly demonstrates the role played by the cluster structures
of Li in understanding the reaction dynamics at energies around the Coulomb
barrier.Comment: 6 pages, 4 figures, Accepted for publication in Phys. Letts.
Open-Retrieval Conversational Question Answering
Conversational search is one of the ultimate goals of information retrieval.
Recent research approaches conversational search by simplified settings of
response ranking and conversational question answering, where an answer is
either selected from a given candidate set or extracted from a given passage.
These simplifications neglect the fundamental role of retrieval in
conversational search. To address this limitation, we introduce an
open-retrieval conversational question answering (ORConvQA) setting, where we
learn to retrieve evidence from a large collection before extracting answers,
as a further step towards building functional conversational search systems. We
create a dataset, OR-QuAC, to facilitate research on ORConvQA. We build an
end-to-end system for ORConvQA, featuring a retriever, a reranker, and a reader
that are all based on Transformers. Our extensive experiments on OR-QuAC
demonstrate that a learnable retriever is crucial for ORConvQA. We further show
that our system can make a substantial improvement when we enable history
modeling in all system components. Moreover, we show that the reranker
component contributes to the model performance by providing a regularization
effect. Finally, further in-depth analyses are performed to provide new
insights into ORConvQA.Comment: Accepted to SIGIR'2
Performance Evaluation of Reduced Rule Base Fuzzy Logic Controller for Indirect Vector Controlled Induction Motor Drive
Abstract. This paper investigates the performance of a fuzzy logic speed controller with a reduced rule base for an indirect vector controlled induction motor drive. Generally in the control of complex systems where high performance is required, traditional controllers does not meet the required performance. In this paper a fuzzy logic controller is developed in such a way that it can provide high performance while using lesser rule. The drive is simulated successfully using Simulink/MATLAB. The performance of the drive has been examined under various rigorous working conditions. The Simulation results show that the proposed fuzzy logic controller (FLC) works satisfactorily making the drive more suitable for high performance applications
Probing pre-formed alpha particles in the ground state of nuclei
In this Letter, we report on alpha particle emission through the nuclear
break-up in the reaction 40Ca on a 40Ca target at 50A MeV. It is observed that,
similarly to nucleons, alpha particles can be emitted to the continuum with
very specific angular distribution during the reaction. The alpha particle
properties can be understood as resulting from an alpha cluster in the daughter
nucleus that is perturbed by the short range nuclear attraction of the
collision partner and emitted. A time-dependent theory that describe the alpha
particle wave-function evolution is able to reproduce qualitatively the
observed angular distribution. This mechanism offers new possibilities to study
alpha particle properties in the nuclear medium.Comment: 4 pages, 3 figure
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