Results 61 to 70 of about 1,405,618 (304)
Neural-Semantic Prediction of Prenatal EPDS Subscale 3A Categories Using Socio-Demographic Features
IEEE AccessIn this work we demonstrate the use of data-driven Machine learning approaches to predict prenatal anxiety. We rely on a large dataset of Edinburgh Postnatal Depression Scale (EPDS) scores compiled from women in 9 hospitals within Kampala, Uganda between
Mark Abraham Magumba +2 more
doaj +1 more source
Sketch of Big Data Real-Time Analytics Model [PDF]
, 2015 Big Data has drawn huge attention from researchers in information sciences, decision makers in governments and enterprises. However, there is a lot of potential and highly useful value hidden in the huge volume of data.
Amen, Bakhtiar, Lu, Joan
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Applied AI Letters, 2022 Low‐cost air quality monitoring networks can potentially increase the availability of high‐resolution monitoring to inform analytic and evidence‐informed approaches to better manage air quality.
Priscilla Adong +3 more
doaj +1 more source
Safe environments for innovation: developing a new multidisciplinary masters programme [PDF]
, 2010 This paper outlines the research and resulting curriculum design activities conducted as a collaborative venture between Northumbria University’s School of Design, School of Computing, Engineering and Information Sciences and Newcastle Business School ...
Bailey, Mark, Smith, Neil
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Complexity-Aware Scheduling for an LDPC Encoded C-RAN Uplink
, 2017 Centralized Radio Access Network (C-RAN) is a new paradigm for wireless networks that centralizes the signal processing in a computing cloud, allowing commodity computational resources to be pooled.
Valenti, Matthew C., Whetzel, Kyle
core +1 more source
Information Flow Audit for Transparency and Compliance in the Handling of Personal Data [PDF]
, 2016 This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/IC2EW.2016.29The adoption of cloud computing is increasing and its use is becoming widespread in many sectors.
Eyers, David, Pasquier, Thomas FJ-M
core +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou +10 more
wiley +1 more source
Enhanced Viral Genome Classification Using Large Language Models
AlgorithmsThe classification of genomic sequences is a crucial area of research in the field of virology. This is due to the increasing number of outbreaks we have faced in recent times.
Hemalatha Gunasekaran +3 more
doaj +1 more source