Results 81 to 90 of about 2,296,812 (225)
FIRST INTERSTELLAR DETECTION OF ISOCYANODIACETYLENE (<span class="roman">HC</span><sub><span class="roman">4</span></sub><span class="roman">NC</span>), THE LARGEST ISOCYANIDE MOLECULE IN THE ISM [PDF]
Ci Xue +7 more
openaire +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The Diagnosis That Arrived Decades Late: Living Without and Then With Myhre Syndrome
ABSTRACT Myhre syndrome (MIM #139210) is a rare multisystem disorder first described in 1981, characterized by short stature, neurodevelopmental delay, joint contractures, and cardiopulmonary complications. Its molecular basis, recurrent pathogenic variants in SMAD4, was not discovered until 2011. This narrative is based on a review of medical records,
Abdallah F. Elias
wiley +1 more source
Abstract To solidify their power over society, totalitarian regimes will usually eliminate any dissent, any perceived threats early on. These threats include not only political enemies but also educated and independent segments of society, such as professional associations.
Michael Hortsch
wiley +1 more source
Abstract A recent debate has emerged between Caspar et al. (2024) and Herculano‐Houzel (2023) on inferring extinct dinosaur cognition by estimating brain neuron counts. While thought‐provoking, the discussion largely overlooks the function of cognition, as well as partly neglects the difficulties involved in estimating neuron numbers, which according ...
Thomas Rejsenhus Jensen +7 more
wiley +1 more source
Multi‐omic profiling reveals immune cell priming signature linked to lupus prognosis
Objective Systemic lupus erythematosus (SLE) is a multi‐organ disease with widespread immune dysregulation and significant unmet clinical need. Blood‐based gene expression studies have advanced our understanding of SLE pathogenesis but may overlook critical tissue‐specific mechanisms that drive disease heterogeneity and progression.
Michael A. Smith +23 more
wiley +1 more source

