Results 51 to 60 of about 4,448,600 (255)

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS 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   +2 more
wiley   +1 more source

Limiting behavior of the search cost distribution for the move-to-front rule in the stable case [PDF]

open access: yes
Move-to-front rule is a heuristic updating a list of n items according to requests. Items are required with unknown probabilities (or popularities). The induced Markov chain is known to be ergodic. One main problem is the study of the distribution of the
Antonio Lijoi   +2 more
core   +2 more sources

An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms.
Muhamad Ridwan, Ema Utami
doaj   +1 more source

Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation [PDF]

open access: yesRevista Brasileira de Meteorologia
The increased consumption of natural resources, such as water, has become a global concern. Consequently, determining information that can minimize water consumption, such as evapotranspiration, is increasingly necessary.
Eluã Ramos Coutinho   +4 more
doaj   +1 more source

Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning

open access: yesApplied Sciences, 2022
Deep learning is an obvious method for the detection of disease, analyzing medical images and many researchers have looked into it. However, the performance of deep learning algorithms is frequently influenced by hyperparameter selection, the question of
Saeed Iqbal   +4 more
doaj   +1 more source

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

open access: yesFEBS 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   +5 more
wiley   +1 more source

Random Search Walks Inside Absorbing Annuli

open access: yesEntropy
We revisit the problem of random search walks in the two-dimensional (2D) space between concentric absorbing annuli, in which a searcher performs random steps until finding either the inner or the outer ring.
Anderson S. Bibiano-Filho   +4 more
doaj   +1 more source

Similarity Search Based on Random Projection for High Frequency Time Series

open access: yes, 2008
Similarity search in high frequency time series of domains as diverse as finance, marketing and industry has attracted much research attention recently. The main notions used in similarity search for time series are defined in a formal way.
Wu W(吴薇)   +3 more
core   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS 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   +11 more
wiley   +1 more source

Developing a Multi-Region Stacking Ensemble Framework via Scenario-Based Digital Twin Simulation for Short-Term Household Energy Demand Forecasting

open access: yesApplied Sciences
Modern energy grids, with their regional diversity and complex consumption patterns, require accurate short-term forecasting for operational efficiency and reliability.
Akin Ozcift   +5 more
doaj   +1 more source

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