Results 131 to 140 of about 5,543,646 (278)
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
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
Uvod u razvoj višeslojnih poslovnih aplikacija u Microsoft .NET okolini
U praksi se često susrećemo s vrlo raznolikim pristupima izgradnje novih aplikacija. Programeri kreću u izradu aplikacija bez dovoljne tehničke i tehnološke pripreme. Arhitektura aplikacije se mijenja „ad-hoc“ za vrijeme izrade same aplikacije.
Kolac, Krešimir +5 more
core
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
‘Guide and Prejudice’— How Argonautes recognize targets across domains of life
Argonaute proteins use short nucleic‐acid guides to locate and regulate specific targets across all domains of life. Despite striking diversity—from human gene silencing to bacterial immune defence—all Argonautes share a conserved three‐stage recognition logic: guide‐directed sampling, progressive target pairing with a conformational checkpoint and ...
Jack P. K. Bravo
wiley +1 more source
Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules
The efficiency of photovoltaic (PV) systems is often compromised by undetected faults, exacerbated by the complexity of thermal imagery backgrounds. This study presents a novel deep-learning-based approach to enhance fault detection in PV systems by ...
Khalfalla Awedat +2 more
doaj +1 more source
Perbandingan Model U-Net dan ELU-Net untuk Segmentasi Semantik Citra Medis Kanker Pankreas
Analisis citra medis untuk melakukan segmentasi semantik menggunakan teknologi deep learning masif dikembangkan saat ini. Salah satu pengembangannya adalah arsitektur U-Net, yang dapat menghasilkan akurasi yang baik. Pengembangan dilanjutkan menghasilkan
Algi Fari Ramdhani +2 more
doaj +1 more source
Published in CVPR Workshops (CVMI), 2025. Project page/code/models/dataset: $\href{https://slavkoprytula.github.io/IAUNet/}{\text{this https URL}}$
Yaroslav Prytula +3 more
openaire +4 more sources
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source

