Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2582684PMC
http://dx.doi.org/10.1371/journal.pntd.0000314DOI Listing

Publication Analysis

Top Keywords

tdr thirty
4
thirty years
4
years stock
4
stock envisioning
4
envisioning future
4
future special
4
special programme
4
programme training
4
training tropical
4
tropical diseases
4

Similar Publications

Article Synopsis
  • The study investigates the safety of accessing the L4-5 disc level in the lumbar spine using two different patient positions: lateral decubitus (LAT) and supine (SUP).
  • It involves a retrospective analysis of 140 patients, where LAT patients had significantly more additional lateral lumbar interbody fusion procedures and surgeries for spinal deformity compared to SUP patients.
  • Results show that while intraoperative complications were similar, LAT patients experienced significantly fewer postoperative complications, including a notable reduction in postoperative ileus.
View Article and Find Full Text PDF

Objectives: As post kala-azar Dermal Leishmaniasis (PKDL) threatens the success of the Visceral Leishmaniasis (VL) elimination initiative, we aimed to investigate the PKDL burden, including an active search for PKDL in leprosy-negative skin lesion cases. We also investigated their health-seeking behavior and perceived level of stigma.

Methods: This was a cross-sectional survey among inhabitants in the VL-endemic villages of the five most VL-endemic upazilas.

View Article and Find Full Text PDF

Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images.

Sci Rep

February 2023

Fluvial Geomorphology and Remote Sensing Laboratory, Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research, Bhopal, 462066, Madhya Pradesh, India.

We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture from satellite images on a large alluvial fan of the Kosi River in the Himalayan Foreland. We have extracted nine different features from Sentinel-1 (dual-polarised radar backscatter), Sentinel-2 (red and near-infrared bands), and Shuttle Radar Topographic Mission (digital elevation model) satellite products by leveraging the linear data fusion and graphical indicators. We performed a feature importance analysis by using the regression ensemble tree approach and also feature sensitivity to evaluate the impact of each feature on the response variable.

View Article and Find Full Text PDF

A Total Diet Replacement Weight Management Program for Difficult-to-Treat Asthma Associated With Obesity: A Randomized Controlled Feasibility Trial.

Chest

May 2023

Institute of Infection, Immunity and InflammationSchool of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, Scotland; Clinical Research Facility, Glasgow Royal Infirmary, School of Health and Life Sciences, University of the West of Scotland, Glasgow, Scotland.

Background: Obesity is often associated with uncontrolled, difficult-to-treat asthma and increased morbidity and mortality. Previous studies suggest that weight loss may improve asthma outcomes, but with heterogenous asthma populations studied and unclear consensus on the optimal method of weight management. The Counterweight-Plus Programme (CWP) for weight management is an evidence-based, dietitian-led total diet replacement (TDR) program.

View Article and Find Full Text PDF

Background: The motion preserving benefits of lumbar total disc replacement (LTDR) are well established. There is a paucity of long-term follow-up data on the M6-L prosthesis. The aim was to evaluate the clinical and radiographic outcomes of patients undergoing LTDR with M6-L and make comment about its effectiveness and durability.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!