Results 151 to 160 of about 79,338 (249)

Coding-complete genome sequence of a divergent black queen cell virus strain identified from honeybees (<i>Apis mellifera</i>) in Romania. [PDF]

Microbiol Resour Announc
Mustajab M, Basler N, De Smet L, de Graaf DC, Matthijnssens J.   +4 more
europepmc   +1 more source

Lung Ultrasound for the Detection of Radiologic Progression of Interstitial Lung Abnormalities in Patients With Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Interstitial lung disease (ILD) is an important extra‐articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung ...
Marie Vermant, Valerie Van Ballaer, Joseph Jacob, Tine Follet, Ryoko Egashira, Kenny Anseele, Heleen Cypers, Laurens J. De Sadeleer, Nico De Crem, Tinne Goos, Barbara Neerinckx, Veerle Taelman, Nathalie Veyt, Alexandros Kalkanis, Patrick Verschueren, Wim A. Wuyts   +15 more
wiley   +1 more source

A Roadmap for Using Hybridisation Capture-Based Target Enrichment of Ancient Environmental DNA in Palaeoecology. [PDF]

Mol Ecol Resour
Foster NR, Holman LE, Armbrecht L, Courtin J, Jensen T, Pedersen MW, Schreiber L, Schroeder H, Seersholm FV, Zampirolo G, Bohmann K, Zimmermann HH.   +11 more
europepmc   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann, Haakon Lund, Frans van der Sluis, Morten Hertzum   +3 more
wiley   +1 more source

Genetic Variants of Thymic Stromal Lymphopoietin and Non-IgE-Mediated Food Allergy. [PDF]

Int J Mol Sci
Coșoreanu MT, Galoș F, Popa LO, Berghea CE, Ionescu MI, Ioan A, Rieber MI, Cinteză EE, Popa OM.   +8 more
europepmc   +1 more source

Task‐Related Aperiodic EEG (1/f) Activity in Autism

Autism Research, EarlyView.
ABSTRACT Autism has been hypothesized to involve atypicalities in the balance between neural excitation and inhibition (E/I). Aperiodic EEG activity, characterized by the 1/f exponent of the power spectrum, provides a proxy of cortical E/I dynamics. However, prior studies in autism report mixed findings regarding the slope of aperiodic activity.
Magdalena Matyjek, Salvador Soto Faraco, Claudia Alvarez Martin, Mireia Torralba Cuello   +3 more
wiley   +1 more source

Multiscale Radiobiological Assessment of Laser-Driven Very High Energy Electrons Versus Conventional Electrons. [PDF]

Adv Radiat Oncol
Giaccaglia C, Bayart E, Dubail M, Varma C, Heinrich S, Gautier J, Tafzi A, Kononenko O, Goddet JP, Amakkattu JB, Lamarre-Jouenne I, Fouillade C, Flacco A.   +12 more
europepmc   +1 more source

Operationalizing BioSSbD: A safe‐and‐sustainable‐by‐design framework for biorefineries

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biorefineries are central to the transition toward a circular bioeconomy; however, their increasing scale and technological heterogeneity, and the integration of biological, chemical, and thermochemical processes introduce complex challenges related to safety, sustainability, and operational reliability. Existing Safe‐and‐Sustainable‐by‐Design
Fernando Ramonet
wiley   +1 more source

An LC-MS untargeted metabolomic comparison between three blood microsampling devices, whole blood, and plasma. [PDF]

Metabolomics
Avella D, Turunen S, Avgerinou G, Petridou A, Mougios V, Zarei I, Auriola S, Hanhineva K, Kärkkäinen O.   +8 more
europepmc   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

Biotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro, José Luis Checa‐Barrera, Juan A. Moreno‐Cid, Eoin Casey   +3 more
wiley   +1 more source