Results 101 to 110 of about 10,260 (285)

Gen3DSR: Generalizable 3D Scene Reconstruction Via Divide and Conquer From a Single View [PDF]

International Conference on 3D Vision
Single-view 3D reconstruction is currently approached from two dominant perspectives: reconstruction of scenes with limited diversity using 3D data supervision or reconstruction of diverse singular objects using large image priors.
Andreea-Simina Ardelean, M. Ozer, Bernhard Egger   +2 more
semanticscholar   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

A physics-guided modular deep learning framework for scalable flow state prediction in large-scale gas pipeline networks

Engineering Applications of Computational Fluid Mechanics
Accurate and efficient prediction of flow states in large-scale natural gas pipeline networks (NGPNs) is essential for real-time monitoring, scheduling, and control.
Xiang Dong Xue, Yong Hong Song, Dui Hong Zhang, Shu Jian Ren, Wan Lu Zhang, Yang Kang   +5 more
doaj   +1 more source

3D-QSAR studies of pyruvate dehydrogenase kinase inhibitors based on a divide and conquer strategy

, 2004
PDHK is a highly specific enzyme, which inhibits PDC thereby reducing the conversion of pyruvate to AcetylCoA leading to increased glucose and lactate level contributing to various pathological disease states.
Bharatam, Prasad V., Sobhia, M.Elizabeth, Aboye, Teshome Leta   +2 more
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Kinematic Identification of Parallel Mechanisms by a Divide and Conquer Strategy [PDF]

, 2010
This paper presents a Divide and Conquer strategy to estimate the kinematic parameters of parallel symmetrical mechanisms. The Divide and Conquer kinematic identification is designed and performed independently for each leg of the mechanism.
Restrepo-Giraldo, John Dairo, Durango, Sebastian, Ruiz, Oscar, Restrepo, David, Achiche, Sofiane   +4 more
core  

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

Divide-and-conquer Tournament on Social Networks

, 2017
In social gaming networks, previous studies extensively investigated the influence of a variety of strategies on reciprocal behaviors in the prisoner’s dilemma game.
Yichao Zhang, Jihong Guan, Shuigeng Zhou, Jiasheng Wang   +3 more
core   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Improving Indoor WiFi Localization by Using Machine Learning Techniques

Sensors
Accurate and robust positioning has become increasingly essential for emerging applications and services. While GPS (global positioning system) is widely used for outdoor environments, indoor positioning remains a challenging task.
Hanieh Esmaeili Gorjan, Víctor P. Gil Jiménez   +1 more
doaj   +1 more source