Results 111 to 120 of about 23,471,693 (348)

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

La persévérance dans l'enseignement à distance - Une étude de cas

ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication, 2000
Having defined the concept of persistence in distance education, the author describes factors that have influenced persistence in an adult distance (via e-mail) foreign language (Spanish and German) writing program.
Lise Desmarais
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Persistence in factor-based supervised learning models

The Journal of Finance and Data Science, 2020
In this paper, we document the importance of memory in machine learning (ML)-based models relying on firm characteristics for asset pricing. We find that predictive algorithms perform best when they are trained on long samples, with long-term returns as dependent variables.
openaire   +2 more sources

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Factors Influencing student persistence in Sukhothai Thammathirat Open University [PDF]

, 2019
This survey research aimed to 1) study correlations between some factors on student persistence, 2) study influences of some factors on student persistence, and 3) create regression equation for predicting student persistence in Sukhothai Thammathirat ...
Jeotee, Kunchon
core   +1 more source

Inflation Persistence and Exchange Rate Regimes: Evidence from Developing Countries [PDF]

Using data for 102 developing countries, it is shown that inflation persistence is particularly high in countries with severe inflationary problems, and particularly low in countries on hard pegs.
Manuela Francisco, Michael Bleaney
core   +2 more sources

Persistence and Dropout in Distance Education: Examining Explanatory Factors

Revista Eletrônica de Ciência Administrativa, 2018
The main goal of this research is to propose and test a theoretical model to investigate factors that influence students’ persistence and dropout in undergraduate distance courses.
Ana Cristina de Oliveira Lott, Angilberto Sabino de Freitas, Jorge Brantes Ferreira, Yuri Monnerat Lott   +3 more
doaj   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source