Results 101 to 110 of about 424,964 (284)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

Bayesian Joint Modeling of Longitudinal and Survival Time Measurement of Hypertension Patients

Risk Management and Healthcare Policy, 2020
Markos Abiso Erango College of Natural Science, Department of Statistics, Arba Minch University, Arba Minch, EthiopiaCorrespondence: Markos Abiso Erango Email markos.erango73@gmail.comBackground: High blood pressure is a health risk for all populations ...
Erango MA
doaj  

Multiple Correspondence Analysis & the Multilogit Bilinear Model

, 2016
Multiple Correspondence Analysis (MCA) is a dimension reduction method which plays a large role in the analysis of tables with categorical nominal variables such as survey data.
Fithian, William, Josse, Julie
core   +1 more source

Mechanozyme: An Artificial Enzyme With a Mechanophore Framework

Advanced Science, EarlyView.
Mechanical destabilization of a G‐quadruplex mechanophore in a DNAzyme markedly boosts its catalytic activity, demonstrating “mechanozymes” as artificial enzymes whose functions are modulated by mechanical stress exerted by ultrasonication. This mechanozyme principle is broadly applicable to control biomolecular activities.
Jiahao Ji, Pravin Pokhrel, Sajan Shakya, Bishal Pokhrel, Grinsun Sharma, Pratiksha Chaudhary, Hao Shen, Hanbin Mao   +7 more
wiley   +1 more source

Studies on the Marchenko–Pastur Law

Mathematics
In free probability, the theory of Cauchy–Stieltjes Kernel (CSK) families has recently been introduced. This theory is about a set of probability measures defined using the Cauchy kernel similarly to natural exponential families in classical probability ...
Ayed. R. A. Alanzi, Ohud A. Alqasem, Maysaa Elmahi Abd Elwahab, Raouf Fakhfakh   +3 more
doaj   +1 more source

Local Equivalence Problem in Hidden Markov Model

, 2019
In the hidden Markov process, there is a possibility that two different transition matrices for hidden and observed variables yield the same stochastic behavior for the observed variables.
Hayashi, Masahito
core  

Sensing and Filtering Environmental Fluctuations: The Case of Biomolecular Condensates in Plants

Advanced Science, EarlyView.
The diversity of plant condensates reflects constraints of sessile organisms to coordinate postembryonic development with environmental adaptation. This review examines how plants employ condensates to integrate temperature, light, redox, and nutrient signals.
Panagiotis N. Moschou, Dorothee Staiger
wiley   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source