Results 81 to 90 of about 5,602,034 (307)

How do Government Expenditures by Function Affect Economic Growth? Evidence from Indonesia

Ekuilibrium: Jurnal Ilmiah Bidan Ilmu Ekonomi
This study addresses a key gap in the empirical literature on fiscal policy and economic growth: while numerous studies assess the impact of total government spending, few examine the differential effects of expenditures by function under the COFOG ...
Rido Parulian Panjaitan, Renny Sukmono, Muhammad Syahrul Fuady, Nurfiryal Salsabila, Farhan Hadiantoro   +4 more
doaj   +1 more source

Multiclass Classification Calibration Functions

CoRR, 2016
44 ...
Bernardo Ávila Pires, Csaba Szepesvári
openaire   +2 more sources

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

Gene ontology functional classification.

, 2022
Gene ontology functional classification.
Pavol Hlaváč (12066055), M. Ajmal Ali (12066058), Muhmmad Rizwan (12066052), Songkun Su (48025), Muhammad Fahad Raza (12066049), Arif Husain (6286937), Hongyi Nie (549438), Muhammad Anwar (4014383), Ahmed Rady (8073326), Zhiguo Li (431917)   +9 more
core   +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

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

THE IMPLEMENTATION OF GRAMMATICAL FUNCTIONS IN FUNCTIONAL DISCOURSE GRAMMAR [PDF]

, 2007
underlying representation in a more or less across the board fashion, only taking into consideration the language dependent semantic function hierarchy.
Bakker, D., Siewierska, Anna, Siewierska, A., Dik Bakker, Bakker, Dik, Anna Siewierska   +5 more
core  

Spatial functional normal mixed effect approach for curve classification

, 2014
This paper proposes a spatial functional formulation of the normal mixed effect model for the statistical classification of spatially dependent Gaussian curves, in both parametric and state space model frameworks.
ROMANO, Elvira, Ruiz Medina M. D., Espejo R. M.   +2 more
core   +1 more source

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

GPCRTree: online hierarchical classification of GPCR function [PDF]

, 2008
Background: G protein-coupled receptors (GPCRs) play important physiological roles transducing extracellular signals into intracellular responses. Approximately 50% of all marketed drugs target a GPCR.
Davies Matthew N, Clark, Edward, Halling-Brown Mark, Flower Darren R, Moss, David S., Alex A Freitas, Halling-Brown, Mark D., Clark, E., Timmis Jon, Flower, Darren R, Andrew Secker, Freitas, Alex A., Timmis, J., Davies, M.N., David S Moss, Secker, Andrew D., Secker, A., Halling-Brown, Mark, Moss David S, Timmis, Jon, Freitas, A.A., Mark Halling-Brown, Clark Edward, Secker Andrew, Secker, Andrew, Flower, Darren R., Jon Timmis, Edward Clark, Matthew N Davies, Freitas Alex A, Davies, Matthew N., Darren R Flower, Flower, D.R.   +32 more
core   +1 more source