Results 91 to 100 of about 20,901 (253)
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
About complexity of complex networks
We derive complexity estimates for two classes of deterministic networks: the Boolean networks S(B n, m ), which compute the Boolean vector-functions B n, m , and the classes of graphs G(VPm,l,E) $G(V_{P_{m,\,l}}, E)$, with overlapping communities and ...
Alexander Goryashko +2 more
doaj +1 more source
ABSTRACT Indigenous wellbeing theories offer potential to better measure social and cultural determinants. This scoping review aimed to identify the types of metrics used by the Australian government to assess wellbeing and evaluate the alignment of current frameworks against Indigenous and non‐Indigenous conceptualisations of wellbeing.
Sophie Wright‐Pedersen +5 more
wiley +1 more source
Binomial Representation of Cryptographic Binary Sequences and Its Relation to Cellular Automata
The binomial sequences are binary sequences that correspond to the diagonals of the binary Sierpinski’s triangle. They have fancy properties such that all the sequences with period equal to a power of 2 can be represented as the sum of a finite set of ...
Sara D. Cardell, Amparo Fúster-Sabater
doaj +1 more source
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello +20 more
wiley +1 more source
Learning Delayed Influences of Biological Systems
Boolean networks are a widely used model to represent gene interactions and global dynamical behavior of genetic regulatory networks. To understand the memory effect involved in some interactions between biological components, it is necessary to include ...
Tony eRibeiro +3 more
doaj +1 more source
Probabilistic Boolean Networks can capture the dynamics of complex biological systems as well as other non-biological systems, such as manufacturing systems and smart grids.
Pedro Juan Rivera Torres +7 more
doaj +1 more source
Sustainable Manufacturing Platforms for Closed‐Cycle Bioeconomy Applications
ABSTRACT The transition to a circular bioeconomy requires innovative production platforms that prioritize sustainability, resource efficiency, and waste minimization. Organic waste from agriculture, aquaculture, and food production represents an underutilized feedstock for biomanufacturing, contributing to a circular economy.
Yelizaveta Chernysh +2 more
wiley +1 more source
Proto‐Panic Modulation by Caffeine‐Proteinoid Complexes
Caffeine–proteinoid microspheres synthesized by thermal polymerization exhibit compartmentalized drug loading with encapsulation efficiencies of 61%–82% and triphasic release kinetics. Electrochemical monitoring reveals multi‐scale oscillatory dynamics consistent with chaotic and damped harmonic behavior, while Boolean logic operations demonstrate ...
Panagiotis Mougkogiannis +1 more
wiley +1 more source
ABSTRACT Autism spectrum disorder (ASD) is frequently associated with motor difficulties that may affect daily functioning, participation in physical activity, and developmental outcomes. Although motor impairments have been widely reported in this population, comparative evidence against typically developing (TD) peers remains fragmented across ...
Nerea Blanco‐Martínez +4 more
wiley +1 more source

