Results 161 to 170 of about 3,103,450 (291)

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

Advanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon, Ki‐Ju Park, Won‐Ju Cho, Seung‐heon Chris Baek, Joo‐Hyung Chae, Hamin Park   +8 more
wiley   +1 more source

Advancing multilevel Bayesian networks with efficient Bayesian inference. [PDF]

Stat Methods Med Res
Yirdaw BE, Debusho LK, van Niekerk J, Rue H.   +3 more
europepmc   +1 more source

Interleukin‐1α Mediates Pancreatic Fibroblast Activation, Regulates Immune Cell Recruitment and Fibrosis in Acute and Chronic Pancreatitis

Advanced Science, EarlyView.
During pancreatitis, IL‐1α is released from necrotic acinar cells. In response to IL‐1α, pancreatic fibroblasts release chemokines and cytokines that regulate the recruitment of immune cells to the damaged organ. Furthermore, IL‐1α primes fibroblasts, resulting in increased tissue fibrosis during chronic pancreatitis.
Hala Mazloum, Shenja Buchholz, Hanna Schifter, Sabine Ameling, Leif Steil, Ben Lewin Becker, Elke Hammer, Georg Homuth, Uwe Völker, Barbara M. Bröker, Lukas Zierke, Frank Ulrich Weiss, Juliane Glaubitz, Matthias Sendler   +13 more
wiley   +1 more source

Bayesian Networks and Causal Discovery. [PDF]

Entropy (Basel)
Gao X, Wang Z.
europepmc   +1 more source

Modeling hierarchical relationships in epidemiological studies: a Bayesian networks approach [PDF]

Hierarchical relationships between risk factors are seldom taken into account in epidemiological studies though some authors stressed the importance of doing so, and proposed a conceptual framework in which each level of the hierarchy is modeled ...
Nguefack-Tsague, Georges, Zucchini, Walter   +1 more
core  

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

Advanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka, Azad Farzadfard, Jacob Aunstrup Larsen, Rasmus Krogh Norrild, Federica Saraceno, Celia Fricke, Hossein Mohammad‐Beigi, Ahmed Sadek, Jonas Folke, Susana Aznar, Alexander K. Buell   +10 more
wiley   +1 more source

Beyond Conventional: A Review of Phytochemical‐Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management

Advanced Science, EarlyView.
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou, Xing Liu, Cuiyi Wang, Xiaoxuan Zhao, Pengrun Zhang, Jingjing Gu, Qiuhua Sun, Malcolm Xing, Yeqin Yang   +8 more
wiley   +1 more source

Expression of Concern: Modeling the social drivers of environmental sustainability among Amazonian indigenous lands using Bayesian networks. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source

Bayesian networks as prognostic models in oncology: a systematic review and recommendations for clinical practice. [PDF]

BMJ Oncol
Reijnen C, Pijnenborg JMA, Hoskin P, Mcwilliam A, Lucas PJF, Hommersom A, Kwisthout J, Choudhury A.   +7 more
europepmc   +1 more source