Results 41 to 50 of about 662,113 (303)

Peak structural response to nonstationary random excitations [PDF]

open access: yes, 1971
Study establishes distribution function of peak response values, based on frequency interpretation. Excitations considered include impact loading on landing gears and aircraft gust loading.
Shinozuka, M., Yang, J.-N.
core   +1 more source

Circulating Biologically Active Adrenomedullin Predicts Organ Failure and Mortality in Sepsis [PDF]

open access: yes, 2019
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Biologically active adrenomedullin (bio-ADM) is an emerging biomarker for sepsis.
Bergmann, A.   +4 more
core   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Development and internal validation of a diagnostic prediction model for psoriasis severity

open access: yesDiagnostic and Prognostic Research, 2023
Background While administrative health records such as national registries may be useful data sources to study the epidemiology of psoriasis, they do not generally contain information on disease severity.
Mie Sylow Liljendahl   +4 more
doaj   +1 more source

Prediction of HELLP Syndrome Severity Using Machine Learning Algorithms—Results from a Retrospective Study

open access: yesDiagnostics, 2023
(1) Background: HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome is a rare and life-threatening complication of preeclampsia. The aim of this study was to evaluate and compare the predictive performances of four machine learning ...
Marian Melinte-Popescu   +3 more
doaj   +1 more source

Design and development criteria for metal bellows [PDF]

open access: yes, 1970
Experimental research describes fluid flow and the fluid-elastic mechanism causing bellows flow excitation, and aids in design of conventional bellows liner which suppresses flow-induced vibrations.
Gerlach, C. R., Schroeder, E. C.
core   +1 more source

Prediction of recurrent Clostridium difficile infection using comprehensive electronic medical records in an integrated healthcare delivery system [PDF]

open access: yes, 2017
BACKGROUNDPredicting recurrentClostridium difficileinfection (rCDI) remains difficult. METHODS. We employed a retrospective cohort design. Granular electronic medical record (EMR) data had been collected from patients hospitalized at 21 Kaiser Permanente
Baker, Jennifer M   +9 more
core   +2 more sources

Predictive medicine: Severe trauma and burns [PDF]

open access: yesCytometry Part B: Clinical Cytometry, 2003
AbstractSevere trauma and burn injury are often associated with a life‐threatening systemic inflammatory response, only to be followed by severe infections. Although many parameters of the immune system are depressed or altered, only the innate immune system has been directly correlated with infections in these patients.
openaire   +2 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

Comprehensive AI framework for automated classification, detection, segmentation, and severity estimation of date palm diseases using vision-language models and generative AI

open access: yesFrontiers in Plant Science
The date palm (Phoenix dactylifera L.) is a vital crop in arid and semi-arid regions, contributing over $13 billion annually to the global economy.
Abid Iqbal
doaj   +1 more source

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