Results 51 to 60 of about 2,620,970 (281)

The Neural Circuitry of Expertise: Perceptual Learning and Social Cognition

open access: yesFrontiers in Human Neuroscience, 2013
Amongst the most significant questions we are confronted with today include the integration of the brain's micro-circuitry, our ability to build the complex social networks that underpin society and how our society impacts on our ecological ...
Michael eHarre
doaj   +1 more source

On the Population Size in Stochastic Differential Games

open access: yesNotices of the American Mathematical Society
11 pages, survey ...
Possamaï, Dylan, Tangpi, Ludovic
openaire   +2 more sources

Stochastic optimal control and stochastic differential Games [PDF]

open access: yes, 2021
Η παρούσα διατριβή χωρίζεται σε δύο μέρη. Το πρώτο μέρος ξεκινάει με την κατασκευή μίας νέας προσέγγισης για την μελέτη του προβλήματος του καθορισμού της βέλτιστης επενδυτικής πολιτικής κάτω από την ύπαρξη εσωτερικής πληροφόρησης. Η προσέγγιση αυτή βασίζεται κυρίως σε τεχνικές της θεωρίας στοχαστικού ελέγχου και πιο συγκεκριμένα στην χρήση της ...
openaire   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Saddle-Point Equilibrium Strategy for Linear Quadratic Uncertain Stochastic Hybrid Differential Games Based on Subadditive Measures

open access: yesMathematics
This paper describes a kind of linear quadratic uncertain stochastic hybrid differential game system grounded in the framework of subadditive measures, in which the system dynamics are described by a hybrid differential equation with Wiener–Liu noise and
Zhifu Jia, Cunlin Li
doaj   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

open access: yesAdvanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho   +13 more
wiley   +1 more source

Quantitative Visualization of Intracellular Nanometabolism Using Peak‐Shifted Dual‐State Emissive FRET Nanoprobes

open access: yesAdvanced Science, EarlyView.
This study reveals the long‐elusive intracellular dissolution mechanism of carrier‐free nanomedicines. By utilizing peak‐shifted dual‐state emissive FRET nanoprobes (PDFNPs) that undergo a distinct ratiometric fluorescence peak shift upon disassembly, we achieve real‐time, quantitative tracking of dissolution kinetics in live cells.
Farsai Taemaitree   +18 more
wiley   +1 more source

Motivation to Run in One-Day Cricket

open access: yesMathematics
This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method ...
Paramahansa Pramanik, Alan M. Polansky
doaj   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

open access: yesAdvanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park   +5 more
wiley   +1 more source

In Pursuit of the Emergence Point: Extracting Phase Transitions in Multi-Agent Communication

open access: yesTechnologies
Modern multi-agent deep reinforcement learning algorithms have demonstrated empirical success in communication games, yet their black box nature precludes the analytical identification of the transition from random babbling to coordinated signalling ...
Alexander Chernyavskiy   +3 more
doaj   +1 more source

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