Results 61 to 70 of about 564,270 (247)

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer   +11 more
wiley   +1 more source

How Emotions Unfold in Online Discussions After a Terror Attack [PDF]

open access: yes, 2019
In the wake of a terror attack, social media is used for sharing thoughts and emotions, accessing and distributing information, and memorializing victims.
Beck, Roman, Hyvärinen, Hissu
core  

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni   +19 more
wiley   +1 more source

Rheumatologic Manifestations of Patients With Type B Insulin Resistance

open access: yesArthritis Care &Research, EarlyView.
Objective The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life‐threatening ...
S. Amara Ogbonnaya   +4 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

open access: yesAdvanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell   +3 more
wiley   +1 more source

False Positive Reactions in Treponemal Tests [PDF]

open access: yesSexually Transmitted Infections, 1963
A J, JULIAN, J, PORTNOY, H N, BOSSAK
openaire   +2 more sources

On the Influence of Antioxidants and Recycled MgO–C Source Material on the Mechanical Properties of Carbon‐Bonded Magnesia Refractories

open access: yesAdvanced Engineering Materials, EarlyView.
The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann   +6 more
wiley   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian   +5 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

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