113 research outputs found
The Politics of Implementation Design
This Article argues that implementation design specified in policy legislation is potentially a major source of conflict and difficulties in the carrying out the legislative policy
Delayed re-laparotomy after total hysterectomy
Background: Since beginning it’s a dilemma whether to remove or preserve the ovaries. In the present study an attempt is made to understand this phenomenon and to have some direction for removal of ovaries. Preservation of the ovaries at the time of hysterectomy does not seem to compromise patient care. Impaired function or failure of the retained ovaries, however, is not uncommon; close post-treatment surveillance is therefore important in terms not only of recurrent disease but of function of the ovaries as well.Methods: This study was done on 37 patients in duration of 3 years from June 2009 to May 2012. It is a retrospective statistical hospital based study of re-laparotomy done in post hysterectomised patients.Results: The most common pathology in these patients was a simple ovarian cyst (45.95%), followed by endometriotic cyst (21.62%), mucinous adenoma (8.10%), serous cyst adenoma (5.40%), serous cyst adenocarcinoma (2.70%) and poorly differentiated adenocarcinoma (2.70%).Conclusions: Emergence of pelvic mass after hysterectomy poses diagnostic and therapeutic challenge to gynecologists. In future, as the patients become more aware and the clinicians more enlightened on the long term benefits and risks of hormone replacement therapy, decisions might be easier for the patients and the clinicians alike
Senslide: a distributed landslide prediction system
We describe the design, implementation, and current status of Senslide, a distributed sensor system aimed at predicting landslides in the hilly regions of western India. Landslides in this region occur during the monsoon rains and cause significant damage to property and lives. Unlike existing solutions that detect landslides in this region, our goal is to predict them before they occur. Also, unlike previous efforts that use a few but expensive sensors to measure slope stability, our solution uses a large number of inexpensive sensor nodes inter-connected by a wireless network. Our system software is designed to tolerate the increased failures such inexpensive components may entail. We have implemented our design in the small on a laboratory testbed of 65 sensor nodes, and present results from that testbed as well as simulation results for larger systems up to 400 sensor nodes. Our results are sufficiently encouraging that we intend to do a field test of the system during the monsoon season in India
Potassium phosphate catalyzed highly efficient synthesis of structurally diverse thioethers at ambient temperature
154-158Commercially available potassium phosphate has been demonstrated to be a highly efficient catalyst for the synthesis of
thioethers employing two different routes viz. alkylation of thiols with alkyl/aralkyl halides and by Michael addition of thiols
to conjugated alkenes
StressNet: a spatial-spectral-temporal deformable attention-based framework for water stress classification in maize
In recent years, monitoring the health of crops has been greatly aided by deploying highthroughput crop monitoring techniques that integrate remotely captured imagery and deep learning techniques. Most methods rely mainly on the visible spectrum for analyzing the abiotic stress, such as water deficiency in crops. In this study, we carry out experiments on maize crop in a controlled environment of different water treatments. We make use of a multispectral camera mounted on an Unmanned Aerial Vehicle for collecting the data from the tillering stage to the heading stage of the crop. A pre-processing pipeline, followed by the extraction of the Region of Interest from orthomosaic is explained. We propose a model based on a Convolution Neural Network, added with a deformable convolutional layer in order to learn and extract rich spatial and spectral features. These features are further fed to a weighted Attention-based Bi-Directional Long Short-Term Memory network to process the sequential dependency between temporal features. Finally, the water stress category is predicted using the aggregated Spatial-Spectral-Temporal Characteristics. The addition of multispectral, multi-temporal imagery significantly improved accuracy when compared with mono-temporal classification. By incorporating a deformable convolutional layer and Bi-Directional Long Short-Term Memory network with weighted attention, our proposed model achieved best accuracy of 91.30% with a precision of 0.8888 and a recall of 0.8857. The results indicate that multispectral, multi-temporal imagery is a valuable tool for extracting and aggregating discriminative spatial-spectral-temporal characteristics for water stress classification
Emerging inflammatory bowel disease demographics, phenotype, and treatment in South Asia, South-East Asia, and Middle East: preliminary findings from the Inflammatory Bowel Disease-Emerging Nations' Consortium.
Background and Aim: Inflammatory bowel disease (IBD) is emerging in the newly industrialized countries of South Asia, South-East Asia, and the Middle East, yet epidemiological data are scarce.
Methods: We performed a cross-sectional study of IBD demographics, disease phenotype, and treatment across 38 centers in 15 countries of South Asia, South-East Asia, and Middle East. Intergroup comparisons included gross national income (GNI) per capita.
Results: Among 10 400 patients, ulcerative colitis (UC) was twice as common as Crohn's disease (CD), with a male predominance (UC 6678, CD 3495, IBD unclassified 227, and 58% male). Peak age of onset was in the third decade, with a low proportion of elderly-onset IBD (5% age > 60). Familial IBD was rare (5%). The extent of UC was predominantly distal (proctitis/left sided 67%), with most being treated with mesalamine (94%), steroids (54%), or immunomodulators (31%). Ileocolic CD (43%) was the commonest, with low rates of perianal disease (8%) and only 6% smokers. Diagnostic delay for CD was common (median 12 months; interquartile range 5–30). Treatment of CD included mesalamine, steroids, and immunomodulators (61%, 51%, and 56%, respectively), but a fifth received empirical antitubercular therapy. Treatment with biologics was uncommon (4% UC and 13% CD), which increased in countries with higher GNI per capita. Surgery rates were 0.1 (UC) and 2 (CD) per 100 patients per year.
Conclusions: The IBD-ENC cohort provides insight into IBD in South-East Asia and the Middle East, but is not yet population based. UC is twice as common as CD, familial disease is uncommon, and rates of surgery are low. Biologic use correlates with per capita GNI
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