Ensemble based groundwater level prediction using neural network pattern fitting

44-50Prediction of groundwater level is implemented using Time-series prediction model and combined prediction model for learning the pattern and trend in groundwater level fluctuation, result show that the combined prediction model using, groundwater level time series and precipitation time series as input predictors is a better predictor. Study also shows that prediction is dependent on the pattern and trends at a particular location as every dataset depends on the dynamics of the location namely the geomorphology of the aquifer, the drainage inside the aquifer and pumping from the aquifer. Ensemble based forecasting is studied to fix the upper and lower limit of the prediction. Ensembles helped in fixing a range for the forecast instead of relying on a single unique value

Postoperative morbidity following Whipple’s procedure for periampullary carcinoma: a retrospective study spanning 5 years

Background: The morbidity rates for Whipple’s procedure has remained high even as mortality rates were coming down. This study was intended to assess postoperative morbidity rates in  a tertiary care centre and to compare it with other centres.Methods: Data was collected from various registers and medical records for this retrospective cohort study. All Whipple’s procedures for 5 years were included in the study. Statistical analysis was done using R statistical software and the results were tabulated.Results: There were 48 patients and half of them developed morbidity. Surgical site infection was the most common complication (18.8%) followed by pulmonary complications (12.5%) and bile leak (6.25%). Half of the patients having pulmonary complications died while nobody with surgical site infection or bile leak died.Conclusions: In this study the morbidity rates were comparable to other centres. Hypoalbuminemia is a significant predictor of morbidity. Surgical site infection was the most common morbidity. Pulmonary complications were the most common cause for death. Morbidity rate is comparable to other centres and Whipple’s procedure is a safe surgery in the tertiary centre where the study was conducted

Testing the no-hair nature of binary black holes using the consistency of multipolar gravitational radiation

Gravitational-wave (GW) observations of binary black holes offer the best probes of the relativistic, strong-field regime of gravity. Gravitational radiation in the leading order is quadrupolar. However, nonquadrupole (higher order) modes make appreciable contribution to the radiation from binary black holes with large mass ratios and misaligned spins. The multipolar structure of the radiation is fully determined by the intrinsic parameters (masses and spin angular momenta of the companion black holes) of a binary in quasicircular orbit. Following our previous work [S. Dhanpal, A. Ghosh, A. K. Mehta, P. Ajith, and B. S. Sathyaprakash, Phys. Rev. D 99, 104056 (2019).], we develop multiple ways of testing the consistency of the observed GW signal with the expected multipolar structure of radiation from binary black holes in general relativity. We call this a no-hair test of binary black holes as this is similar to testing the no-hair theorem for isolated black holes through mutual consistency of the quasinormal mode spectrum. We use Bayesian inference on simulated GW signals that are consistent/inconsistent with binary black holes in general relativity to demonstrate the power of the proposed tests. We also make estimate systematic errors arising as a result of neglecting companion spins

Glycemic control and cost-effectiveness attained by the drug utilization of oral antidiabetic agents in a tertiary care hospital in South India

Background: Diabetes mellitus require lifelong intervention and Kerala has high prevalence. New expensive agents require comparison with existing regimens for cost-effectiveness.Methods: Socio-demographic, anthropometric, FPG and HbA1C (baseline and post treatment) of 150 patients (73 men; 77 women) were obtained from records using standard case report forms in our retrospective study. ANOVA and paired t test were used for between groups and within group comparison.Results: Metformin was maximum utilized (DDD/1000/day-252.39). All treatment regimens produced significant reduction in FPG (except metformin monotherapy) and HbA1C (except metformin sulfonylurea α-glucosidase inhibitor DPP-4 inhibitor combination). When compared to metformin sulfonylurea pioglitazone combination (best therapy), other regimens were less cost effective in reducing FPG and metformin sulfonylurea α-glucosidase inhibitor DPP-4 inhibitor was more effective and expensive in reducing HbA1C.Conclusions: High prescription rates of metformin were due to its action on insulin resistance and weight. Addition of pioglitazone was cost effective and DPP-4 inhibitor was expensive but effective

The study outcome of bouquet technique for the management of displaced boxer's fracture

Background: Fifth metacarpal neck fracture is also called Boxer's fracture. Most commonly occurs due to aggression behaviour that result in punch on a wall with a clenched first. If there is a displacement of boxer’s fracture more than 500 then it has to be managed operatively. We here present the outcome of bouquet technique that we used to operate the 80 cases of 5th metacarpal neck fracture. Methods: We studied and did follow up of the 80, 5th metacarpal neck fracture that managed by bouquet technique. Clinical and radiological assessment was done at 4weeks and 6 weeks and 12 weeks. Total active motion, radiography and complication were noted. Results: Out of 80 patients that were studied 72 got excellent results and 8 got fair results. Whereas one patient got infection and 2 got adventitious bursitis at the entry site which requires k wire removal. Conclusions: The technique of antegrade intramedullary 3 kirschners wire in management of 5th metacarpal neck fracture is safe, simple, soft tissue sparing, minimally invasive technique with excellent functional and cosmetic outcome with minimal complications

Ensemble based groundwater level prediction using neural network pattern fitting

Prediction of groundwater level is implemented using Time-series prediction model and combined prediction model for learning the pattern and trend in groundwater level fluctuation, result show that the combined prediction model using, groundwater level time series and precipitation time series as input predictors is a better predictor. Study also shows that prediction is dependent on the pattern and trends at a particular location as every dataset depends on the dynamics of the location namely the geomorphology of the aquifer, the drainage inside the aquifer and pumping from the aquifer. Ensemble based forecasting is studied to fix the upper and lower limit of the prediction. Ensembles helped in fixing a range for the forecast instead of relying on a single unique value

Lack of effects of microtubule poisons on the 93D or 93D-like heat shock puffs in Drosophila

In view of the specific inducibility of the 93D heat shock (HS) puff of D. melanogaster by colchicine [Lakhotia & Mukherjee, Indian J Exp Biol, 22 (l984) 67], salivary glands of different species of Drosophila have been exposed to several other microtubule (MT) poisons. viz. cold shock, chloral hydrate. diamide, podophyllotoxin, vinblastin, griseofulvin and nocodazcle to examine the inducibility of 93D or 93D-like puff. It is observed that except cold shock, none of the other MT poisons induces the 93D or 93D-like puff. Podophylloioxin, a comperiuve inhibitor of colchicine binding to microtubules, fails to counter the induction ofthe 93D pull by colchicine. Thus it appears that induction of the 93D puff by colchicine treatment is not due to its direct effects on microtubules

Probing the large scale structure using gravitational-wave observations of binary black holes

Third generation gravitational-wave (GW) detectors are expected to detect a large number of binary black holes (BBHs) to large redshifts, opening up an independent probe of the large scale structure using their clustering. This probe will be complementary to the probes using galaxy clustering -- GW events could be observed up to very large redshifts ($z \sim 10$) although the source localization will be much poorer at large distances ($\sim$ tens of square degrees). We explore the possibility of probing the large scale structure from the spatial distribution of the observed BBH population, using their two-point (auto)correlation function. We find that we can estimate the bias factor of population of BBH (up to $z \sim 1$) with a few years of observations with these detectors. Our method relies solely on the source-location posteriors obtained the GW events and does not require any information from electromagnetic observations. This will help in identifying the type of galaxies that host the BBH population, thus shedding light on their origins.Comment: 7 pages, 5 figure

Testing the no-hair nature of binary black holes using the consistency of multipolar gravitational radiation

Gravitational-wave (GW) observations of binary black holes offer the best probes of the relativistic, strong-field regime of gravity. Gravitational radiation in the leading order is quadrupolar. However, nonquadrupole (higher order) modes make appreciable contribution to the radiation from binary black holes with large mass ratios and misaligned spins. The multipolar structure of the radiation is fully determined by the intrinsic parameters (masses and spin angular momenta of the companion black holes) of a binary in quasicircular orbit. Following our previous work [S. Dhanpal, A. Ghosh, A. K. Mehta, P. Ajith, and B. S. Sathyaprakash, Phys. Rev. D 99, 104056 (2019).], we develop multiple ways of testing the consistency of the observed GW signal with the expected multipolar structure of radiation from binary black holes in general relativity. We call this a no-hair test of binary black holes as this is similar to testing the no-hair theorem for isolated black holes through mutual consistency of the quasinormal mode spectrum. We use Bayesian inference on simulated GW signals that are consistent/inconsistent with binary black holes in general relativity to demonstrate the power of the proposed tests. We also make estimate systematic errors arising as a result of neglecting companion spins

Testing the no-hair nature of binary black holes using the consistency of multipolar gravitational radiation

Gravitational-wave (GW) observations of binary black holes offer the best probes of the relativistic, strong-field regime of gravity. Gravitational radiation in the leading order is quadrupolar. However, nonquadrupole (higher order) modes make appreciable contribution to the radiation from binary black holes with large mass ratios and misaligned spins. The multipolar structure of the radiation is fully determined by the intrinsic parameters (masses and spin angular momenta of the companion black holes) of a binary in quasicircular orbit. Following our previous work [S. Dhanpal, A. Ghosh, A. K. Mehta, P. Ajith, and B. S. Sathyaprakash, Phys. Rev. D 99, 104056 (2019).], we develop multiple ways of testing the consistency of the observed GW signal with the expected multipolar structure of radiation from binary black holes in general relativity. We call this a no-hair test of binary black holes as this is similar to testing the no-hair theorem for isolated black holes through mutual consistency of the quasinormal mode spectrum. We use Bayesian inference on simulated GW signals that are consistent/inconsistent with binary black holes in general relativity to demonstrate the power of the proposed tests. We also make estimate systematic errors arising as a result of neglecting companion spins