Results 141 to 150 of about 7,721,766 (241)

Combination Therapy in Participants With Active Psoriatic Arthritis Using Subcutaneous Guselkumab and Golimumab: Week 24 Results From a Phase 2a, Multicenter, Randomized, Double‐Blind, Proof‐of‐Concept Study

open access: yesArthritis &Rheumatology, EarlyView.
Objective To assess guselkumab + golimumab combination therapy versus guselkumab monotherapy in participants with active psoriatic arthritis (PsA) and inadequate response to tumor necrosis factor inhibitors (TNFi‐IR). Methods Adults with active TNFi‐IR PsA (three or more tender/swollen joints) were randomized (2:1) to subcutaneous guselkumab (100 mg) +
Jose U. Scher   +12 more
wiley   +1 more source

Synchronization‐Performance‐Oriented Frequency‐Domain Iterative Learning Control for Wafer and Reticle Stages

open access: yesAsian Journal of Control, EarlyView.
ABSTRACT The synchronization accuracy between the wafer stage and reticle stage in lithography is critical to overlay and critical dimension uniformity. Existing iterative learning control (ILC) methods indirectly optimize synchronization via time‐domain errors, failing to balance low‐frequency tracking accuracy and high‐frequency noise suppression ...
Xin Zhou   +4 more
wiley   +1 more source

Principal Component‐Based Classification of Blazar Candidates of Uncertain Type in the 4FGL/LAT

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT We adopted principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machines (SVM), to study classification for a sample of 2708 Fermi blazars: 1142 BL Lac objects (BLLs), 759 flat spectrum radio quasars (FSRQs), and 807 blazar candidates of uncertain type (BCUs).
Wen‐Xin Yang   +13 more
wiley   +1 more source

Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small‐Data Scenarios

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Accurate prediction of bioprocess scale‐up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi‐scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empirical expertise. This work
Harvey Al‐Ramadhan   +3 more
wiley   +1 more source

A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk. [PDF]

open access: yesBraz J Psychiatry, 2023
Rohrsetzer F   +12 more
europepmc   +1 more source

GlycoMAC: A Multiscale Metabolic‐Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng   +3 more
wiley   +1 more source

Food‐solicitation displays in nestling birds: still begging for answers

open access: yesBiological Reviews, EarlyView.
ABSTRACT Nestling begging is a key model for understanding animal communication and parent–offspring conflict. Dynamic begging displays are often interpreted as costly, honest signals of need, with honesty maintained by viability costs, as proposed in Godfray's influential signalling model.
Daniel Parejo‐Pulido, Tomás Redondo
wiley   +1 more source

Structural covariance network alterations across the spectrum of cognitive status in Parkinson's disease. [PDF]

open access: yesClin Park Relat Disord
Shibata H   +5 more
europepmc   +1 more source

Understanding the Indirect Effects of Sustainable HRM: Cognitive and Relational Pathways to Engagement and Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper examines how sustainable human resource management (SHRM) influences employee engagement and performance through distinct cognitive and relational mechanisms. While previous research has demonstrated positive associations between SHRM and employee outcomes, the processes through which these effects occur remain insufficiently ...
Daniel Roque Gomes   +4 more
wiley   +1 more source

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