Results 121 to 130 of about 567,009 (289)

Solid‐State Nanopore Characterization of Dendrimer‐Peptide Conjugates Across Defined Peptide Loadings

open access: yesAdvanced Materials Interfaces, EarlyView.
Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu   +7 more
wiley   +1 more source

Predicting Customer Churn and Retention Rates in Nigeria’s Mobile Telecommunication Industry Using Markov Chain Modelling

open access: yesActa Universitatis Sapientiae: Economics and Business, 2015
The telecommunication industry is one of the service industries that is most affected by the problem of subscribers’ churn. Although several techniques have been used to predict customer churn in developed countries, many of those studies used secondary ...
Adebiyi Sulaimon Olanrewaju   +2 more
doaj   +1 more source

Multifunctional feedback and common ground: the case of L1-L1 and L1-L2 interactions

open access: yesCahiers de praxématique
The present study explores different types of feedback (Corrective Feedback, Miscommunication Feedback, and Conversational Feedback) for the construction of common ground during multimodal face-to-face interactions. While a majority of studies in Second Language Acquisition have mainly focused on Corrective Feedback, i.e.
Kosmala, Loulou, Horgues, Céline
openaire   +2 more sources

Functional study of ubiquitin C-terminal hydrolase-L1 gene promoter haplotypes

open access: yes, 2007
The Ubiquitin Conjugating System (UCS) describes a system in which the 96-amino acid residue Ubiquitin can be selectively covalently linked to intracellular proteins.
Sanassy, Shane
core  

A Reproducible and Scalable Process for High Yield Mesenchymal Stromal Cell Extracellular Vesicles Production

open access: yesAdvanced Materials Technologies, EarlyView.
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong   +7 more
wiley   +1 more source

Trust and the Achievement of Strategic Alliance Goals: The Mediating Role of Resource Complementarity within a Resource-Based View

open access: yesBusiness Systems Research
Because of path dependence, companies often cannot generate new resources and capabilities internally. In that case, the best way to acquire them is through external mechanisms, such as alliances.
Talaja Anita
doaj   +1 more source

HPV vaccines: Global perspectives

open access: yesHuman Vaccines & Immunotherapeutics, 2017
The discovery of HPV as the etiological factor for HPV-associated malignancies and disease has opened up several opportunities for prevention and therapy.
Gaurav Gupta   +2 more
doaj   +1 more source

L1 in tumor vasculature

open access: yesOncotarget, 2016
Angiogenesis is a pre-requisite for the growth and the metastatic dissemination of solid tumors. Therefore, interfering with the angiogenic process has long been proposed as a therapeutic strategy to restrain cancer progression [1]. In this context, drugs that inhibit vascular endothelial growth factor (VEGF) signaling have proven efficacious in ...
openaire   +2 more sources

Reconnaissance Peptide Labeling Grain Boundary of Chemically Grown MoS2 Polycrystalline Monolayer

open access: yesAdvanced Materials Technologies, EarlyView.
Self‐assembled peptides on substrates, through adsorption and aggregation, offer an alternative way to label grain boundaries in chemically grown single‐layer polycrystalline MoS2. During an early nucleation step, peptides preferentially bind to grain boundaries.
Linhao Sun, Jinhua Hu
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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