Results 91 to 100 of about 3,100,217 (361)

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

Topologically convergent and divergent large scale complex networks among Alzheimer's disease spectrum patients: A systematic review

Heliyon, 2023
Alzheimer's disease (AD) is associated with disruption at the level of a large-scale complex network. To explore the underlying mechanisms in the progression of AD, graph theory was used to quantitatively analyze the topological properties of structural ...
Zhiyuan Yang, Ya Chen, Xinle Hou, Yun Xu, Feng Bai   +4 more
doaj   +1 more source

A Model of Emotion as Patterned Metacontrol [PDF]

, 2011
Adaptive systems use feedback as a key strategy to cope with uncertainty and change in their environments. The information fed back from the sensorimotor loop into the control architecture can be used to change different elements of the controller at ...
Sanz Bravo, Ricardo, Sánchez Escribano, María Guadalupe   +1 more
core   +1 more source

Atypical miRNA expression in temporal cortex associated with dysregulation of immune, cell cycle, and other pathways in autism spectrum disorders. [PDF]

, 2015
BackgroundAutism spectrum disorders (ASDs) likely involve dysregulation of multiple genes related to brain function and development. Abnormalities in individual regulatory small non-coding RNA (sncRNA), including microRNA (miRNA), could have profound ...
Ander, Bradley P, Barger, Nicole, Schumann, Cynthia M, Sharp, Frank R, Stamova, Boryana   +4 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Demand-aware traffic cooperation for self-organizing cognitive small-cell networks

International Journal of Distributed Sensor Networks, 2019
This article investigates the problem of efficient spectrum access for traffic demands of self-organizing cognitive small-cell networks, using the coalitional game approach.
Changhua Yao, Lei Zhu, Yongxing Jia, Lei Wang   +3 more
doaj   +1 more source

Analytic theory of the eight-vertex model [PDF]

, 2006
We observe that the exactly solved eight-vertex solid-on-solid model contains an hitherto unnoticed arbitrary field parameter, similar to the horizontal field in the six-vertex model.
Albertini, Andrews, Au-Yang, Batchelor, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Baxter, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Bazhanov, Beisert, Belavin, Boos, Date, Date, Deguchi, Deguchi, Derkachov, Dorey, Fabricius, Fabricius, Fabricius, Fabricius, Fabricius, Fabricius, Faddeev, Felder, Fendley, Fendley, Fendley, Gaudin, Hasegawa, Johnson, Kashaev, Kashiwara, Khoroshkin, Kirillov, Klümper, Korff, Korff, Krichever, Krichever, Kulish, Kuniba, Lieb, Nepomechie, Pasquier, Pronko, Reshetikhin, Sklyanin, Sklyanin, Sklyanin, Smirnov, Stroganov, Stroganov, Stroganov, Sutherland, Sutherland, Takahashi, Takahashi, Takhtajan, Vladimir V. Bazhanov, Vladimir V. Mangazeev, von Gehlen, Whittaker, Yang, Zabrodin, Zamolodchikov, Zamolodchikov   +85 more
core   +2 more sources

Thermostable neutral metalloprotease from Geobacillus sp. EA1 does not share thermolysin's preference for substrates with leucine at the P1′ position

FEBS Letters, EarlyView.
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield, Torsten Kleffmann, David J. Saul, Sigurd M. Wilbanks   +3 more
wiley   +1 more source

How Useful Is Electroencephalography in the Diagnosis of Autism Spectrum Disorders and the Delineation of Subtypes: A Systematic Review

Frontiers in Psychiatry, 2017
Autism spectrum disorders (ASD) are thought to be associated with abnormal neural connectivity. Presently, neural connectivity is a theoretical construct that cannot be easily measured.
Oana Gurau, William J. Bosl, William J. Bosl, Charles R. Newton, Charles R. Newton   +4 more
doaj   +1 more source

Physicochemical Characterization and Functional Analysis of the Polysaccharide from the Edible Microalga Nostoc sphaeroides

Molecules, 2018
Nostoc colonies have been used as food and medicine for centuries, and their main supporting matrix is polysaccharides, which help Nostoc cells resist various environmental stresses including oxidative stress.
Haifeng Li, Linnan Su, Sheng Chen, Libin Zhao, Hongyu Wang, Fei Ding, Hong Chen, Ruona Shi, Yulan Wang, Zebo Huang   +9 more
semanticscholar   +1 more source