Results 51 to 60 of about 10,119 (260)

Deep Volumetric Super‐Resolution Imaging in Thick Biological Specimens With Sparse Scanning SIM

Advanced Science, EarlyView.
Sparse scanning structured illumination microscopy (SS‐SIM) extends the axial depth in super‐resolution fluorescence imaging by combining rapid laser scanning, pixel‐addressed intensity modulation, and sCMOS camera detection. SS‐SIM yields 1.6× lateral and 1.7× axial resolution gains over wide‐field microscopy and enables imaging through 300–600 µm ...
Sha An, Xuhong Guo, Zhongxia Cai, Yunze Lei, Kai Wen, Hongfei Suo, Xiaoyu Kong, Gerd Ulrich Nienhaus, Peng Gao   +8 more
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, EarlyView.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Anti-foundationalist Philosophy of Mathematics and Mathematical Proofs

Studia Humana, 2020
The Euclidean ideal of mathematics as well as all the foundational schools in the philosophy of mathematics have been contested by the new approach, called the “maverick” trend in the philosophy of mathematics.
Krajewski Stanisław
doaj   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Volume Introduction – Method, Science and Mathematics: Neo-Kantianism and Analytic Philosophy

Journal for the History of Analytical Philosophy, 2018
Introduction to the Special Volume, “Method, Science and Mathematics: Neo-Kantianism and Analytic Philosophy,” edited by Scott Edgar and Lydia Patton. At its core, analytic philosophy concerns urgent questions about philosophy’s relation to the formal ...
Scott Edgar
doaj   +1 more source

Philosophy Of Mathematics And Mathematics Education

International Journal Of Humanities Education and Social Sciences (IJHESS), 2021
Philosophy of mathematics is a branch of philosophy that studies philosophical assumptions, foundations, and effects of mathematics. The aim of the philosophy of mathematics is to provide a record of the nature and methodology of mathematics and to understand the place of mathematics in human life.
null Zulhendri, null Jamaris
openaire   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
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

The Relation Between Mathematics Philosophy And Culture-Based Learning Model

Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang
The aim of this study is to study the correlation of mathematical philosophy with cultural-based learning models. The method of research used is the method of library research, i.e.
Eka Khairani Hasibuan, Izwita Dewi, Faiz Ahyaningsih   +2 more
doaj   +1 more source