A Graph Model for Imperative Computation

Scott's graph model is a lambda-algebra based on the observation that continuous endofunctions on the lattice of sets of natural numbers can be represented via their graphs. A graph is a relation mapping finite sets of input values to output values. We consider a similar model based on relations whose input values are finite sequences rather than sets. This alteration means that we are taking into account the order in which observations are made. This new notion of graph gives rise to a model of affine lambda-calculus that admits an interpretation of imperative constructs including variable assignment, dereferencing and allocation. Extending this untyped model, we construct a category that provides a model of typed higher-order imperative computation with an affine type system. An appropriate language of this kind is Reynolds's Syntactic Control of Interference. Our model turns out to be fully abstract for this language. At a concrete level, it is the same as Reddy's object spaces model, which was the first "state-free" model of a higher-order imperative programming language and an important precursor of games models. The graph model can therefore be seen as a universal domain for Reddy's model

To study the role of tranexamic acid in the management of menorrhagia

Background: Heavy menstrual bleeding is a significant case of morbidity during the reproductive years. Approximately 30% of women complain of menorrhagia and it is the main presenting problem of women consulting a gynaecologist. In addition, excessive menstrual bleeding accounts for about two-thirds of all hysterectomies. This amount of blood loss can cause disturbance of the woman’s social, occupational or sexual life, as well as medical risks such as chronic iron deficiency anemia. Objective of the study was to determine if tranexenic acid can effectively and safely reduce menstrual blood loss in menorrhagia.Methods: 100 cases selected for the study who complained of regular long/ heavy menstrual bleeding more than 7 days or blood loss more than 80ml, who are at the age of 20-45 years. This study includes measurement of menstrual blood loss, duration of bleeding, number of sanitary pad usage for two menstrual cycles who complained of regular excessive menstrual bleeding using pictogram and taken history of IUCD insertion. Abdominal, gyanecological examination and ultra sound has been done to rule out any pelvic pathology. Drug Tranexamic acid 500mg QID were given to the patients who had mean menstrual blood loss of more than 80ml based on assessment in the previous two menstrual cycles.Results: The total study shows the effect of drugs on the amount of bleeding is 41.6% (P-value <0.05), there is significant reduction is seen in number of sanitary pad usage from 5.44 to 3.96 (P- value <0.05) and there is significant reduction in duration of bleeding. There are minimal gastrointestinal side effects, and there is 32% discontinuation of treatment in our study as patient is not satisfied.Conclusions: Treatment with tranexamic acid could potentially improve quality of life of women. It is also effective treatment for menorrhagia caused by IUCD. Current clinical evidence concludes that size and type of fibroid has significant influence on effect of treatment. Tranexamic acid has been doc umented and found to have no effect on uterus with adenomyosis and endometrial poly

FORMULATION AND EVALUATION OF CHITOSAN NANOPARTICLES FOR IMPROVED EFFICACY OF ITRACONAZOLE ANTIFUNGAL DRUG

Objective: The main objective of the study was to formulate and evaluate the chitosan nanoparticles to improve the therapeutic efficacy of itraconazole by loading in nanoparticle drug delivery system. Designing the formulation of the drug itraconazole prolongs the therapeutic concentration of the drug in the blood and which will lower the frequency of dosing and also improves the efficacy of the drug. Methods: Itraconazole nanoparticles are prepared by ionic gelation method; here, chitosan is used as polymer. The formulated nanoparticles are evaluated for external morphological studies by scanning electron microscope (SEM), drug content, in vitro drug release studies, as well as infrared (IR) spectral analysis. Results: The Fourier transform IR spectra show that there was no interaction between drug and polymers; hence, they are compatible. Percentage entrapment efficiency, drug content, and percentage yield were higher for F3 formulation. The particle size analysis shows that every particle in the formulations gave the range of 148–227 nm, respectively; increasing in the particle size observed with varying concentration of polymer. SEM analysis of the nanoparticles shows that all the formulations were spherical and smooth with ideal surface morphology. As the concentration of polymer, the drug release decreased proportionally. The stability studies were carried out on the optimized formulation for 2 months at 30±2°C and 60±5% RH and 40±2°C and 75±5% RH; finally, it was observed that there was no change in drug content and in vitro drug release profile even after storage at 30±2°C and 60±5% RH and 40±2°C and 75±5% RH for 2 months. Conclusion: Itraconazole is one among the most widely used antifungal drugs. Designing the formulation of drug itraconazole prolongs therapeutic drug concentration in the blood and decreases dosage frequency and also enhances the efficacy of drug

A Report on implementation of operational Global and Indian Ocean HYCOM at INCOIS

A state of the art operational forecasting system with data assimilation (DA) is established at INCOIS, which is the first of it's kind in the country. The Indian Ocean model is the highest resolution operational system with DA available for the basin compared to any operational agency in the world. The core of the system is a 1/16th eddy resolving Indian ocean Hybrid Coordinate Model (HYCOM), nested to a 1/4th Global HYCOM which provides lateral boundary conditions to the high-resolution model. The system uses data assimilation scheme based on Tentral Statistical Interpolation (T-SIS) scheme. A five-year hindcast for the period 2012 to 2016 has been carried out using both setups. This report presents a detailed evaluation of both global and Indian ocean models in comparison with observations and two other established systems, NRL HYCOM and GODAS from INCOIS. The five-year hindcast results show that both Indian Ocean and global model simulated SST, SSS, SLA, currents and vertical structure of the ocean favourably when compared with observations and other models. Bias, RMSD, correlation and skill score compared to observations from each of the four models for selected parameters are evaluated as part of this exercise. Sea-level and currents, show a notable better performance for the new setups at INCOIS over NRL-HYCOM and INCOIS-GODA

The effects of epidural analgesia in normal labour

Background: Epidural analgesia is considered to be gold standard technique for labour analgesia but is claimed to prolong labour. Previous studies have evaluated epidural analgesia versus systemic opioids to no analgesia. The present study evaluated the effect of epidural analgesia on duration of labour compared to no analgesia.Methods: Sixty primigravida with full term-singleton, vertex presentation in spontaneous labour were included in the study. Parturient willing for epidural analgesia were allocated as epidural group (n=30), rest served as control. The intervention in active stage of labour included 10 ml of Inj. Bupivacaine 0.125% and Inj. Fentanyl 100μg and maintenance with infusion of Inj. Bupivacaine 0.125% and Inj. Fentanyl 2μg/ml added at a rate of 6-8 ml/hr. Duration of the first two stages of labour, patient satisfaction, side effects, number of instrumental vaginal/ vacuum-assisted deliveries, and neonatal APGAR score were recorded.Results: The mean duration of first stage of labour was shorter in epidural group (250.17±106.33 minutes) compared with control (302.00±111.99 minutes), (p= 0.071). The mean duration of second stage in epidural group was (18.73±6.82 minutes) compared with control (18.33±14.53 minutes) was not significant (p= 0.892). Although instrumental vaginal delivery rate was greater in the epidural group (6.7%) as compared to control (3.3%), (p=1.000). Pain score (VAPS) varied between1-3 and 4-10 in epidural group and control respectively (p< 0.001). The APGAR scores at 5 min and neonatal ICU admissions were statistically comparable.Conclusions: Epidural analgesia with Bupivacaine and Fentanyl results in good pain relief with undue prolongation of labour

Numerical simulation of the sensitivity of summer monsoon circulation and rainfall over india to land surface processes

The influence of soil moisture and vegetation variation on simulation of monsoon circulation and rainfall is investigated. For this purpose a simple land surface parameterization scheme is incorporated in a three-dimensional regional high resolution nested grid atmospheric model. Based on the land surface parameterization scheme, latent heat and sensible heat fluxes are explicitly estimated over the entire domain of the model. Two sensitivity studies are conducted; one with bare dry soil conditions (no latent heat flux from land surface) and the other with realistic representation of the land surface parameters such as soil moisture, vegetation cover and landuse patterns in the numerical simulation. The sensitivity of main monsoon features such as Somali jet, monsoon trough and tropical easterly jet to land surface processes are discussed. Results suggest the necessity of including a detailed land surface parameterization in the realistic short-range weather numerical predictions. An enhanced short-range prediction of hydrological cycle including precipitation was produced by the model, with land surface processes parameterized. This parameterization appears to simulate all the main circulation features associated with the summer monsoon in a realistic manner

Doctors and nurses subjective predictions of 6-month outcome compared to actual 6-month outcome for adult patients with spontaneous intracerebral haemorrhage (ICH) in neurocritical care: An observational study.

Acute spontaneous intracerebral haemorrhage is a devastating form of stroke. Prognostication after ICH may be influenced by clinicians' subjective opinions. To evaluate subjective predictions of 6-month outcome by clinicians' for ICH patients in a neurocritical care using the modified Rankin Scale (mRS) and compare these to actual 6-month outcome. We included clinicians' predictions of 6-month outcome in the first 48 h for 52 adults with ICH and compared to actual 6-month outcome using descriptive statistics and multilevel binomial logistic regression. 35/52 patients (66%) had a poor 6-month outcome (mRS 4-6); 19/52 (36%) had died. 324 predictions were included. For good (mRS 0-3) versus poor (mRS 4-6), outcome, accuracy of predictions was 68% and exact agreement 29%. mRS 6 and mRS 4 received the most correct predictions. Comparing job roles, predictions of death were underestimated, by doctors (12%) and nurses (13%) compared with actual mortality (36%). Predictions of vital status showed no significant difference between doctors and nurses: OR = 1.24 {CI; 0.50-3.05}; (  = 0.64) or good versus poor outcome: OR = 1.65 {CI; 0.98-2.79}; (  = 0.06). When predicted and actual 6-month outcome were compared, job role did not significantly relate to correct predictions of good versus poor outcome: OR = 1.13 {CI;0.67-1.90}; (  = 0.65) or for vital status: OR = 1.11 {CI; 0.47-2.61};  = 0.81). Early prognostication is challenging. Doctors and nurses were most likely to correctly predict poor outcome but tended to err on the side of optimism for mortality, suggesting an absence of clinical nihilism in relation to ICH. [Abstract copyright: © 2024 The Authors. Published by Elsevier B.V.

Optimal placement of Femto base stations in enterprise femtocell networks

Femto cells a.k.a. Low Power Nodes (LPNs) are deployed to improve indoor data rates as well as reduce traffic load on macro Base Stations (BSs) in 4G/LTE cellular networks. Indoor UEs getting high SNR (Signal-to-Noise Ratio) can experience good throughput, but SNR decreases at faster rate due to obstacles, present along the communication path. Hence, efficient placement of Femtos in enterprise buildings is crucial to attain desirable SNR for indoor users. We consider obstacles and shadowing effects by walls and include them in the system model. We develop a Linear Programming Problem (LPP) model by converting convex constraints into linear ones and solve it using GAMS tool, to place Femtos optimally inside the building. Our extensive experimentation proves the optimal placement of Femtos achieves 14.41% and 35.95% increase in SNR of indoor UEs over random and center placement strategies, respectively