Results 111 to 120 of about 4,027,935 (330)
Advanced Science, EarlyView.Stepwise excitation of dual‐color responsive molecules in a novel intersecting half‐cone geometry provides excellent spatial resolution while retaining the high efficiency and thus speed of the overall process. The approach provides volumetric methods with an enhanced performance at the nanoscale.
Martin Regehly, Stefan Hecht
wiley +1 more source
Problems in probability theory, mathematical statistics and theory of random functions. Edited by A. A. Sveshnikov. Translated by Scripta Technica Inc. W.B, Saunders Co., Philadelphia, London, Toronto, 1968. ix + 481 pages. Can. $15.70. [PDF]
, 1969 Donald A. Dawson
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PROBABILITY IN LOGIC, MATHEMATICS AND SCIENCE
Dialectica, 1949 Historically the emergence of a precise technical meaning for probability, as distinct from its vague popular useage, has taken time; and confusion still arises from the concept of probability having different meanings in different flelds of discourse.
openaire +2 more sources
Chern--Simons Terms as an Example of the Relations Between Mathematics and Physics [PDF]
Relations between Mathematics and Physics (IHES publications 1998), 1998 The inevitability of Chern--Simons terms in constructing a variety of physical models, and the mathematical advances they in turn generate, illustrates the unexpected but profound interactions between the two disciplines.
arxiv
Tuning Aggregation in Liquid‐Crystalline Squaraine Chromophores
Advanced Science, EarlyView.A novel squaraine dye (SQ) forming columnar liquid crystal (LC) phase is synthesized, whose aggregate state can be tuned without disturbing the columnar structures. The liquid crystallization not only offers a rich spectrum and tuning method of optical property but also a novel path for the prescriptive functionalization of LC SQ materials.
Tianyi Tan +12 more
wiley +1 more source
The Mathematical Theory of Probabilities. [PDF]
Journal of the Royal Statistical Society, 1924 L. I., Arne Fisher
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Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE
Advanced Science, EarlyView.scCAFE is a deep learning framework designed to identify multi‐scale 3D genome architectural features from single‐cell Hi‐C data without dense imputation. It predicts chromatin loops, TAD‐like domains, and A/B compartments, enabling efficient characterization of organization at the single‐cell level. scCAFE also identifies marker loop anchors, offering
Fuzhou Wang +12 more
wiley +1 more source
Resilient and Flexible Electrohydrodynamics Pumps for Human–Machine Interfaces
Advanced Science, EarlyView.This study introduces resilient and flexible electrohydrodynamic (EHD) pumps designed to enhance human–machine interfaces. These pumps are both quiet and compact, featuring a unique electrode configuration that overcomes the typical limitations associated with dielectric breakdowns and subsequent permanent failures.
Yu Kuwajima +13 more
wiley +1 more source
Advanced Science, EarlyView.DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu +10 more
wiley +1 more source