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• Neuromorphic Computing for Continuous-Time Dynamics
  This paper proposes a novel approach to neuromorphic computing centered around the direct simulation of continuous-time dynamical systems. Current neuromorphic hardware predominantly focuses on discrete-time signal processing, a limitation when tackling the co…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Neuromorphic Computing for Continuous-Time Dynamics
  This paper proposes a novel approach to neuromorphic computing centered around the direct simulation of continuous-time dynamical systems. Current neuromorphic hardware predominantly focuses on discrete-time signal processing, a limitation when tackling the co…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于神经形态计算的动态拓扑神经网络
  This paper investigates a novel approach to neural computation leveraging dynamic topology and synaptic plasticity within a spiking neural network (SNN) architecture. The core claim centers on the potential of mimicking the biological characteristics of neuron…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于神经形态计算的动态拓扑神经网络
  This paper investigates a novel approach to neural computation leveraging dynamic topology and synaptic plasticity within a spiking neural network (SNN) architecture. The core claim centers on the potential of mimicking the biological characteristics of neuron…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Self-Organizing Computational Fabrics via Bio-Inspired Swarm Intelligence
  This paper proposes a novel approach to computational architecture design, termed a self-organizing computational fabric, inspired by the emergent behavior observed in biological swarms. Traditional computer architectures are inherently static, limiting their …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Self-Organizing Computational Fabrics via Bio-Inspired Swarm Intelligence
  This paper proposes a novel approach to computational architecture design, termed a self-organizing computational fabric, inspired by the emergent behavior observed in biological swarms. Traditional computer architectures are inherently static, limiting their …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Parallel Computing Architecture Based on Bio-Inspired Algorithms
  This paper proposes a novel parallel computing architecture inspired by the inherent parallelism found in biological neural networks. The core idea is to mimic the mechanisms of neuron connections and signal transmission within biological systems to construct …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Parallel Computing Architecture Based on Bio-Inspired Algorithms
  This paper proposes a novel parallel computing architecture inspired by the inherent parallelism found in biological neural networks. The core idea is to mimic the mechanisms of neuron connections and signal transmission within biological systems to construct …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Non-linear Self-Organizing Neural Network Model for Quantum Computing (NSNQN)
  This paper introduces the Non-linear Self-Organizing Neural Network Model (NSNQN) – a novel framework for quantum computing that leverages the principles of self-organization and quantum entanglement to simulate complex biological neural systems. Traditional n…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Non-linear Self-Organizing Neural Network Model for Quantum Computing (NSNQN)
  This paper introduces the Non-linear Self-Organizing Neural Network Model (NSNQN) – a novel framework for quantum computing that leverages the principles of self-organization and quantum entanglement to simulate complex biological neural systems. Traditional n…
  datacite Zhang, Jincheng 2026 置信度 0.66
• 基于神经形态计算的非线性控制系统设计
  This paper explores the design of nonlinear control systems based on neuromorphic computing for precise control of complex nonlinear systems. The core idea is to leverage the inherent structure and functionality of biological neural networks to construct contr…
  datacite Zhang, Jincheng 2026 置信度 0.66
• 基于神经形态计算的非线性控制系统设计
  This paper explores the design of nonlinear control systems based on neuromorphic computing for precise control of complex nonlinear systems. The core idea is to leverage the inherent structure and functionality of biological neural networks to construct contr…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于可扩展物理模拟的复杂系统建模
  This paper presents a novel approach to modeling complex systems utilizing extended physics simulation (EPS). EPS leverages the fundamental principles of physical systems to construct scalable models suitable for large-scale parallel computation. The core clai…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于可扩展物理模拟的复杂系统建模
  This paper presents a novel approach to modeling complex systems utilizing extended physics simulation (EPS). EPS leverages the fundamental principles of physical systems to construct scalable models suitable for large-scale parallel computation. The core clai…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Topology-Dependent Neuromorphic Computing
  This paper proposes a novel approach to neuromorphic computing centered around dynamic topology and synaptic plasticity. The core idea is to mimic the inherent adaptability of biological neural networks by designing a programmable neuromorphic chip where conne…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Topology-Dependent Neuromorphic Computing
  This paper proposes a novel approach to neuromorphic computing centered around dynamic topology and synaptic plasticity. The core idea is to mimic the inherent adaptability of biological neural networks by designing a programmable neuromorphic chip where conne…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Semantic Network Neuro-Morphic Computing
  This paper proposes a novel approach to computing, termed Dynamic Semantic Network Neuro-Morphic Computing, which leverages the principles of biological neural networks to achieve parallel, adaptive learning, and reasoning for complex data structures. The core…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Semantic Network Neuro-Morphic Computing
  This paper proposes a novel approach to computing, termed Dynamic Semantic Network Neuro-Morphic Computing, which leverages the principles of biological neural networks to achieve parallel, adaptive learning, and reasoning for complex data structures. The core…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Quantum Biofeedback Algorithm (QBFA)
  This paper introduces the Quantum Biofeedback Algorithm (QBFA), a novel approach to simulating and optimizing complex systems by integrating principles of quantum biology and biofeedback with quantum computing. QBFA establishes a quantum biofeedback loop where…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Quantum Biofeedback Algorithm (QBFA)
  This paper introduces the Quantum Biofeedback Algorithm (QBFA), a novel approach to simulating and optimizing complex systems by integrating principles of quantum biology and biofeedback with quantum computing. QBFA establishes a quantum biofeedback loop where…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Neuromorphic Architecture Adaptive Topology Optimization
  This paper investigates a novel approach to computing by dynamically adapting the topology of a neuromorphic architecture. The core idea is to mimic the dynamic connectivity observed in biological neural systems, specifically through synaptic plasticity and ch…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Neuromorphic Architecture Adaptive Topology Optimization
  This paper investigates a novel approach to computing by dynamically adapting the topology of a neuromorphic architecture. The core idea is to mimic the dynamic connectivity observed in biological neural systems, specifically through synaptic plasticity and ch…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Neuroform Computing: Adaptive Hardware Topology Generation via Generative Adversarial Networks
  This paper presents a novel approach to neuroform computing hardware design utilizing generative adversarial networks (GANs). The core concept revolves around mimicking the self-organizing properties of biological neural networks by employing a GAN framework t…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Neuroform Computing: Adaptive Hardware Topology Generation via Generative Adversarial Networks
  This paper presents a novel approach to neuroform computing hardware design utilizing generative adversarial networks (GANs). The core concept revolves around mimicking the self-organizing properties of biological neural networks by employing a GAN framework t…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Quantum Information in the Evolution of Biological Systems
  Quantum information has emerged as a transformative concept across diverse fields, including information theory, quantum computing, and materials science. Its potential to surpass classical information processing capabilities has sparked significant research i…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Quantum Information in the Evolution of Biological Systems
  Quantum information has emerged as a transformative concept across diverse fields, including information theory, quantum computing, and materials science. Its potential to surpass classical information processing capabilities has sparked significant research i…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Title: Adaptive Topological Transformation Energy Transfer
  This paper presents a novel theoretical framework for energy transfer within complex systems, centered around adaptive topological transformation. The core concept is to dynamically adjust the topology of a system based on its internal state, thereby facilitat…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Title: Adaptive Topological Transformation Energy Transfer
  This paper presents a novel theoretical framework for energy transfer within complex systems, centered around adaptive topological transformation. The core concept is to dynamically adjust the topology of a system based on its internal state, thereby facilitat…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Neuromorphic Computing for Real-Time Image Processing
  This paper investigates the application of neuromorphic computing to address the limitations of traditional von Neumann architectures in real-time image processing. The core argument presented is that the inherent bottleneck of separating memory and processing…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Neuromorphic Computing for Real-Time Image Processing
  This paper investigates the application of neuromorphic computing to address the limitations of traditional von Neumann architectures in real-time image processing. The core argument presented is that the inherent bottleneck of separating memory and processing…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamically Reconfigurable Quantum Circuits for Machine Learning
  This paper explores the development of dynamically reconfigurable quantum circuits tailored for machine learning applications. The core claim is the design of a hardware architecture capable of on-the-fly circuit reconfiguration, optimizing performance and res…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamically Reconfigurable Quantum Circuits for Machine Learning
  This paper explores the development of dynamically reconfigurable quantum circuits tailored for machine learning applications. The core claim is the design of a hardware architecture capable of on-the-fly circuit reconfiguration, optimizing performance and res…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Life as Plasmas: Autonomy and Interactivism in-materio
  When is a material system a candidate for life at all? We argue that this question is prior to behavior, functional architecture, or computational capacity, and that at root it is one of physical admissibility. We develop a framework in which minimal autonomy,…
  datacite Hinrichs, Nicolás, Albarracin, Mahault, Engelberger, Felipe, Christov-Moore, Leonardo 等 2026 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Populations and Evolution (q-bio.PE)FOS: Computer and information sciencesFOS: Biological sciences
• Maximizing Gene Expression with Quantum Computers... Demonstration of Quantum-Classical Hybrid Codon Optimization
  A study published on bioRxiv proposes for the first time a hybrid approach combining quantum annealing and the Lagrange multiplier method by formulating the codon optimization problem as a constrained quadratic binary problem. It demonstrates the overwhelming …
  datacite inquantio 2026 置信度 0.66 quantum biology
• Maximizing Gene Expression with Quantum Computers... Demonstration of Quantum-Classical Hybrid Codon Optimization
  A study published on bioRxiv proposes for the first time a hybrid approach combining quantum annealing and the Lagrange multiplier method by formulating the codon optimization problem as a constrained quadratic binary problem. It demonstrates the overwhelming …
  datacite inquantio 2026 置信度 0.66 quantum biology
• Overcoming the Limits of Computational Cost... Emergence of a "Large-Scale Quantum Computing Framework" to Accelerate Drug Disc
  • Constructed an integrated multi-stage drug design framework utilizing QBoson-CPQC-3Gen, a 2000-node coherent Ising machine (CIM). • Demonstrated superior speed and accuracy over existing heuristic algorithms in core calculations, including allosteric site de…
  datacite inquantio 2026 置信度 0.66 quantum biology
• Overcoming the Limits of Computational Cost... Emergence of a "Large-Scale Quantum Computing Framework" to Accelerate Drug Disc
  • Constructed an integrated multi-stage drug design framework utilizing QBoson-CPQC-3Gen, a 2000-node coherent Ising machine (CIM). • Demonstrated superior speed and accuracy over existing heuristic algorithms in core calculations, including allosteric site de…
  datacite inquantio 2026 置信度 0.66 quantum biology
• Motor intention in the posterior parietal cortex : experimental data analysis and functional modeling study
  The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the paralle…
  datacite Acimovic, Jugoslava 2008 置信度 0.66 area 7abio-inspired modelsbrain-computer interfacehand-eyes coordinationliquid state machines
• The Morgan Clavier: A Sensory Architecture for a Phase-Separated Embodied Machine Mind
  We present the sensory architecture for a phase-separated embodied machine mind — a body whose identity layer is optical (network weights etched in fused silica, computing as light propagates) and whose adaptive layer is a living conductive gel [14]. Five desi…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Sensory architectureembodied AIEvent camerasDiffractive optical neural networkFiber optic sensing
• The Morgan Clavier: A Sensory Architecture for a Phase-Separated Embodied Machine Mind
  We present the sensory architecture for a phase-separated embodied machine mind — a body whose identity layer is optical (network weights etched in fused silica, computing as light propagates) and whose adaptive layer is a living conductive gel [14]. Five desi…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Sensory architectureembodied AIEvent camerasDiffractive optical neural networkFiber optic sensing
• A Segmented Systems Architecture for High-Frequency Asymmetric Multiplexing in Large Language Model (LLM) Edge Robotics
  This repository hosts the technical preprint exploring a novel, bio-inspired decentralized systems architecture engineered to mitigate real-time processing fragmentation and latency bottlenecks in advanced cybernetic edge platforms driven by high-parameter fou…
  datacite Sewell, Melvin 2026 置信度 0.66
• A Segmented Systems Architecture for High-Frequency Asymmetric Multiplexing in Large Language Model (LLM) Edge Robotics
  This repository hosts the technical preprint exploring a novel, bio-inspired decentralized systems architecture engineered to mitigate real-time processing fragmentation and latency bottlenecks in advanced cybernetic edge platforms driven by high-parameter fou…
  datacite Sewell, Melvin 2026 置信度 0.66
• The Morgan Cadenza Engine: A Phase-Separated Substrate Architecture for Persistent Embodied Machine Minds
  We propose a substrate architecture for a persistent embodied machine mind that resolves the stability–plasticity dilemma architecturally rather than algorithmically: by assigning the stable and plastic regimes of learning to two distinct phases of matter. A s…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Neuromorphic computingOrganoid intelligenceDiffractive optical neural networks5D optical storageConductive hydrogels
• The Morgan Cadenza Engine: A Phase-Separated Substrate Architecture for Persistent Embodied Machine Minds
  We propose a substrate architecture for a persistent embodied machine mind that resolves the stability–plasticity dilemma architecturally rather than algorithmically: by assigning the stable and plastic regimes of learning to two distinct phases of matter. A s…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Neuromorphic computingOrganoid intelligenceDiffractive optical neural networks5D optical storageConductive hydrogels
• The Ambient Polygraph: Physiological Intelligence as a New Security Domain in 5G-Advanced and 6G Networks
  The evolution of 5G-Advanced and 6G networks introduces a fundamental transformation from communication-oriented infrastructures toward intelligent sensing environments. Through Integrated Sensing and Communication (ISAC), future wireless networks will combine…
  datacite Milješković, Miljan 2026 置信度 0.66 Artificial IntelligenceConcealed InformationCorporate SecurityWireless Physiological SensingPhysiological Privacy
• The Ambient Polygraph: Physiological Intelligence as a New Security Domain in 5G-Advanced and 6G Networks
  The evolution of 5G-Advanced and 6G networks introduces a fundamental transformation from communication-oriented infrastructures toward intelligent sensing environments. Through Integrated Sensing and Communication (ISAC), future wireless networks will combine…
  datacite Milješković, Miljan 2026 置信度 0.66 Artificial IntelligenceConcealed InformationCorporate SecurityWireless Physiological SensingPhysiological Privacy
• JulitaKul/f-ai: F-AI - a browser-based tool for quantitative fluorescence microscopy image analysis
  We present F-AI (Fluorescence Image Analyzer), an open-source browser-based tool for quantitative analysis of fluorescence microscopy images. F-AI implements a hybrid pipeline combining Otsu automatic thresholding for nucleus segmentation, rolling-ball backgro…
  datacite Julita Kulbacka 2026 置信度 0.66
• JulitaKul/f-ai: F-AI - a browser-based tool for quantitative fluorescence microscopy image analysis
  We present F-AI (Fluorescence Image Analyzer), an open-source browser-based tool for quantitative analysis of fluorescence microscopy images. F-AI implements a hybrid pipeline combining Otsu automatic thresholding for nucleus segmentation, rolling-ball backgro…
  datacite Julita Kulbacka 2026 置信度 0.66
• scRNAvigator-nf: A Nextflow pipeline for QC, annotation, and differential expression analysis of scRNA-seq data
  # scrnavigator-nf ## Description This Nextflow pipeline provides a standardised method for processing and analysing single cell RNA sequencing (scRNAseq) data. It builds upon the [scRNAvigator notebooks](https://github.com/Sydney-Informatics-Hub/scrna-analysis…
  datacite Geaghan, Michael, Jaya, Frederick, Samaha, Georgina, O'Brien, Mitchell J 2026 置信度 0.66
• BioConductor: A Self-Routing Biological Wire Platform for Neural Electrode–Tissue Interfacing
  Neural electrode interfaces face a persistent engineering barrier: rigid, foreign-body conductive materials can trigger glial scarring, signal degradation, and immune rejection over time. This paper proposes BioConductor, a programmable biological delivery and…
  datacite Morris, Taneisha 2026 置信度 0.66 Physarum polycephalum BioConductor biohybrid systems neural interfaces biological computing chemotaxis synthetic biology biocontainment conductive biomaterials brain-computer interfaces glioblastoma drug delivery
• BioConductor: A Self-Routing Biological Wire Platform for Neural Electrode–Tissue Interfacing
  Neural electrode interfaces face a persistent engineering barrier: rigid, foreign-body conductive materials can trigger glial scarring, signal degradation, and immune rejection over time. This paper proposes BioConductor, a programmable biological delivery and…
  datacite Morris, Taneisha 2026 置信度 0.66 Physarum polycephalum BioConductor biohybrid systems neural interfaces biological computing chemotaxis synthetic biology biocontainment conductive biomaterials brain-computer interfaces glioblastoma drug delivery
• The Geometric Execution of the Physical Substrate: A Bare-Metal Analysis of the Nexus Virtual Machine
  The Geometric Execution of the Physical Substrate: A Bare-Metal Analysis of the Nexus Virtual Machine 1. The Crisis of Distinction and the Collapse of the Noun-Stack Contemporary theoretical physics and the foundational sciences of computation have reached a t…
  datacite Kulik, Dean 2026 置信度 0.66
• The Geometric Execution of the Physical Substrate: A Bare-Metal Analysis of the Nexus Virtual Machine
  The Geometric Execution of the Physical Substrate: A Bare-Metal Analysis of the Nexus Virtual Machine 1. The Crisis of Distinction and the Collapse of the Noun-Stack Contemporary theoretical physics and the foundational sciences of computation have reached a t…
  datacite Kulik, Dean 2026 置信度 0.66
• Identity Physics Emergent Resonant Elements (ERE): Registry v2, Two-Phase Methodology, and Full-Periodic Partner-Space Mapping
  Emergent Resonant Elements (ERE): Registry v2, Two-Phase Methodology, and Full-Periodic Partner-Space Mapping Architect: HIGHTISTIC (Russell Trent) Foundation: SNSFT Foundation · Soldotna, Alaska Coordinate: [9,9,2,44v2] · Applied Identity Physics · ERE Regist…
  datacite Trent, Russell 2026 置信度 0.66
• Identity Physics Emergent Resonant Elements (ERE): Registry v2, Two-Phase Methodology, and Full-Periodic Partner-Space Mapping
  Emergent Resonant Elements (ERE): Registry v2, Two-Phase Methodology, and Full-Periodic Partner-Space Mapping Architect: HIGHTISTIC (Russell Trent) Foundation: SNSFT Foundation · Soldotna, Alaska Coordinate: [9,9,2,44v2] · Applied Identity Physics · ERE Regist…
  datacite Trent, Russell 2026 置信度 0.66
• Relationship between tau, neuroinflammation and atrophy in Alzheimer's disease: The NIMROD study
  In addition to beta-amyloid accumulation, misfolded tau and activated microglia are also present in Alzheimer's disease (AD). It is important to study the relationship amongst these pathologies in vivo and their effects on the cognitive deficits for developing…
  datacite Su, Li, Surendranathan, Ajenthan, Huang, Yujing, Bevan-Jones, William R 等 2021 置信度 0.66 4605 Data Management and Data Science46 Information and Computing Sciences4602 Artificial Intelligence4603 Computer Vision and Multimedia ComputationAlzheimer's Disease
• Quantum Theory in Drug Discovery: From Atomic Structure to Molecular Interactions
  This extensive guide provides a deep dive into the application of quantum theory within pharmaceutical research and development, bridging the gap between fundamental atomic physics and advanced drug design. The article first establishes the core principles of …
  datacite quantum chemical science 2026 置信度 0.66 Quantum MechanicsDrug DiscoveryQM/MMDensity Functional TheorySchrodinger Equation
• Quantum Theory in Drug Discovery: From Atomic Structure to Molecular Interactions
  This extensive guide provides a deep dive into the application of quantum theory within pharmaceutical research and development, bridging the gap between fundamental atomic physics and advanced drug design. The article first establishes the core principles of …
  datacite quantum chemical science 2026 置信度 0.66 Quantum MechanicsDrug DiscoveryQM/MMDensity Functional TheorySchrodinger Equation
• The Morgan Clavier: A Sensory Architecture for a Phase-Separated Embodied Machine Mind
  We present the sensory architecture for a phase-separated embodied machine mind — a body whose identity layer is optical (network weights etched in fused silica, computing as light propagates) and whose adaptive layer is a living conductive gel [14]. Five desi…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Sensory architectureembodied AIEvent camerasDiffractive optical neural networkFiber optic sensing
• Living Tissue Where 4pi Appears, and Where It Does Not ── Raise the Source by One Dimension and 4pi Becomes 2pi While 1/r Becomes log r ── 24.11 muV for a Point Source, 111.05 muV for a Line ── [Paper 309]
  The potential from a current source in tissue is phi=I/(4pisigma r) for a point source. The 4pi=12.5663706144 of Paper 02 stands in the denominator as it is. This paper asks when a biological source is a point──the answer is often it is not, and then 4pi does …
  datacite Yuuki YAMAGISHI 2026 置信度 0.66
• QDs-based fluorescent lateral flow assays for Point-of-care testing of insulin
  Point-of-care testing (POCT) can be performed near the site of the patient to achieve results in a few minutes. Different POCT devices are available in the market, such as microfluidic chips and paper-based lateral flow assays (LFAs). The paper-based LFAs have…
  datacite Deng, Fei, Kaur, Jagjit, Goldys, Ewa, Morris, Margaret 2023 置信度 0.66 4605 Data Management and Data Science46 Information and Computing Sciences31 Biological SciencesBiotechnologyBioengineering
• QuatOS: A Phi-Coherent Computing Organism — Architecture, Mathematics, and Empirical Performance
  The primary system paper for QuatOS. Documents nine bare-metal C binaries totaling 350 KB that collectively implement a self-organizing computing organism — no Python, no Java, no interpreted language in any computational hot path. The system's heartbeat is a …
  datacite Dragolich, Daniel 2026 置信度 0.66
• QuatOS: A Phi-Coherent Computing Organism — Architecture, Mathematics, and Empirical Performance
  The primary system paper for QuatOS. Documents nine bare-metal C binaries totaling 350 KB that collectively implement a self-organizing computing organism — no Python, no Java, no interpreted language in any computational hot path. The system's heartbeat is a …
  datacite Dragolich, Daniel 2026 置信度 0.66
• Hachero98/dopamine-PINN-: v1.0 — Medical & Biological Engineering & Computing submission
  Physics-Informed Neural Networks for Modeling Dopamine Neurotransmitter Diffusion in Synaptic Clefts: A Computational Approach to Parkinson's Disease Dynamics" (Hackman& Zhu) to Medical & Biological Engineering & Computing. Contents: Canonical JAX/Flax NNX imp…
  datacite Hachero98 2026 置信度 0.66
• Hachero98/dopamine-PINN-: v1.0 — Medical & Biological Engineering & Computing submission
  Physics-Informed Neural Networks for Modeling Dopamine Neurotransmitter Diffusion in Synaptic Clefts: A Computational Approach to Parkinson's Disease Dynamics" (Hackman& Zhu) to Medical & Biological Engineering & Computing. Contents: Canonical JAX/Flax NNX imp…
  datacite Hachero98 2026 置信度 0.66
• The Geometric Taxonomy of Computation: Enumeration, Recursive Folding, and the Boundary of the Mark 1 Attractor
  The Geometric Taxonomy of Computation: Enumeration, Recursive Folding, and the Boundary of the Mark 1 Attractor 1. Introduction: The Epistemological Fracture and the Ontological Inversion The contemporary landscape of theoretical physics, computational ontolog…
  datacite Kulik, Dean 2026 置信度 0.66
• The Geometric Taxonomy of Computation: Enumeration, Recursive Folding, and the Boundary of the Mark 1 Attractor
  The Geometric Taxonomy of Computation: Enumeration, Recursive Folding, and the Boundary of the Mark 1 Attractor 1. Introduction: The Epistemological Fracture and the Ontological Inversion The contemporary landscape of theoretical physics, computational ontolog…
  datacite Kulik, Dean 2026 置信度 0.66
• The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion
  The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion Driven by Dean Kulik Introduction: The Inversion of Inquiry This report will formalize the Mark1 Nexus, a comprehensive framework positing that the universe, computation…
  datacite Kulik, Dean 2025 置信度 0.66
• The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion
  The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion Driven by Dean Kulik Introduction: The Inversion of Inquiry This report will formalize the Mark1 Nexus, a comprehensive framework positing that the universe, computation…
  datacite Kulik, Dean 2025 置信度 0.66
• The 〔HA〕Universal Operator :〔The Universal Honeycomb Aether Theory: 10.5281/zenodo. 19273496〕〕
  〔The Universal Honeycomb Aether Theory〕 〔reference〕(IMPORTANT FACT 10peV) Article Published: 28 January 2026 Constraints on axion dark matter by distributed intercity quantum sensors Yuanhong Wang, Ying Huang, …Jiangfeng Du Show authors Nature 650, pages314–31…
  datacite FairyMonk 2026 置信度 0.66 Theory of EveythingFairy MonkAxion137
• Universal Honeycomb Aether Equation : 〔HA〕Honeycomb Aether
  [ Introduction: The Universal Honeycomb Aether Theory ] Before examining the equations, one must understand the hardware specifications of the universe. The Honeycomb Aether Theory is not a hypothesis; it is the Source Code of the Universal Operating System. 1…
  datacite FairyMonk 2026 置信度 0.66 Fairy MonkTheory of EveythingAxionHoneycomb Aether
• Universal Honeycomb Aether Equation : 〔HA〕Honeycomb Aether
  [ Introduction: The Universal Honeycomb Aether Theory ] Before examining the equations, one must understand the hardware specifications of the universe. The Honeycomb Aether Theory is not a hypothesis; it is the Source Code of the Universal Operating System. 1…
  datacite FairyMonk 2026 置信度 0.66 Fairy MonkTheory of EveythingAxionHoneycomb Aether
• The Ontological Engine: A Recursive Harmonic Analysis of BBP and SHA-256 as Fundamental Computational Substrates
  The Ontological Engine: A Recursive Harmonic Analysis of BBP and SHA-256 as Fundamental Computational Substrates 1. Introduction: The Shift from Function to Essence In the contemporary landscape of computational theory and applied mathematics, the Bailey-Borwe…
  datacite Kulik, Dean 2026 置信度 0.66
• The Ontological Engine: A Recursive Harmonic Analysis of BBP and SHA-256 as Fundamental Computational Substrates
  The Ontological Engine: A Recursive Harmonic Analysis of BBP and SHA-256 as Fundamental Computational Substrates 1. Introduction: The Shift from Function to Essence In the contemporary landscape of computational theory and applied mathematics, the Bailey-Borwe…
  datacite Kulik, Dean 2026 置信度 0.66
• Bright-Field Image Analysis for Connectoid axonal projection density characterization using custom python pipeline
  Bright-Field Image Analysis for Connectoid axonal projection density characterization using custom python pipelineA custom Python pipeline was developed to analyse bright-field microscopy images of microfluidic connectoids generated from ALS (N6C9ORF72 and N1C…
  datacite Tesema, Segni Kejela 2026 置信度 0.66
• Bright-Field Image Analysis for Connectoid axonal projection density characterization using custom python pipeline
  Bright-Field Image Analysis for Connectoid axonal projection density characterization using custom python pipelineA custom Python pipeline was developed to analyse bright-field microscopy images of microfluidic connectoids generated from ALS (N6C9ORF72 and N1C…
  datacite Tesema, Segni Kejela 2026 置信度 0.66
• The Morgan Cadenza Engine: A Phase-Separated Substrate Architecture for Persistent Embodied Machine Minds
  We propose a substrate architecture for a persistent embodied machine mind that resolves the stability–plasticity dilemma architecturally rather than algorithmically: by assigning the stable and plastic regimes of learning to two distinct phases of matter. A s…
  datacite Morgan, Jeffrey Allen 2026 置信度 0.66 Neuromorphic computingOrganoid intelligenceDiffractive optical neural networks5D optical storageConductive hydrogels
• Lean 4 Confirmation and Approval Proof for Hamzah Equation. (8)
  با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و به‌ینه‌سازی‌های پیشرفته‌ی خواسته‌شده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیک‌های قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳‌گانه کامل و نهایی نظریه شماره ۶۱ از ۱…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Lean 4 Confirmation and Approval Proof for Hamzah Equation. (8)
  با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و به‌ینه‌سازی‌های پیشرفته‌ی خواسته‌شده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیک‌های قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳‌گانه کامل و نهایی نظریه شماره ۶۱ از ۱…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Lean 4 Confirmation and Approval Proof for Hamzah Equation. (8)
  با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و به‌ینه‌سازی‌های پیشرفته‌ی خواسته‌شده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیک‌های قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳‌گانه کامل و نهایی نظریه شماره ۶۱ از ۱…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Advancements in Tactile-Free Medical Imaging
  ABSTRACT: During surgical procedures, it is important that the personnel (surgeon, residents, or assistants) interact with the patient avoiding any physical contact with equipment and materials that might have not been appropriately sterilized. This is done in…
  datacite Eva Maria Rodriguez-Reyes, Liam Alexander Sanchez-Gonzalez 2022 置信度 0.66 Functional MaterialsAdvanced PhysicsMaterials ScienceOpen Access
• Measurement of skeletal muscle radiation attenuation and basis of its biological variation
  Skeletal muscle contains intramyocellular lipid droplets within the cytoplasm of myocytes as well as intermuscular adipocytes. These depots exhibit physiological and pathological variation which has been revealed with the advent of diagnostic imaging approache…
  openalex Jocelyn B. Aubrey, Nina Esfandiari, Vickie E. Baracos, François-Alexandre Buteau 等 2014-01-03 置信度 0.72 Skeletal muscleAttenuationAdipose tissueMedicineMuscle tissue
• ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
  openalex Luca Pion-Tonachini, Ken Kreutz-Delgado, Scott Makeig 2019-05-16 置信度 0.72 Classifier (UML)Computer scienceIndependent component analysisElectroencephalographyArtificial intelligence
• PHENIX : a comprehensive Python-based system for macromolecular structure solution
  Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures because of the need for manual interpretat…
  openalex Paul D. Adams, Pavel V. Afonine, G. Bunkóczi, Vincent B. Chen 等 2010-01-21 置信度 0.72 Python (programming language)Computer scienceAutomationGraphicsSoftware
• XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010
  openalex Mediterranean Conference on Medical and Biological Engineering and Computing 2010, Nicolas Pallikarakis 2010-01-01 置信度 0.72 Mediterranean climateComputer scienceEngineeringHistoryArchaeology
• GoMiner: a resource for biological interpretation of genomic and proteomic data
  We have developed GoMiner, a program package that organizes lists of 'interesting' genes (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. GoMiner provides quantitative…
  openalex Barry R. Zeebèrg, Weimin Feng, Geoffrey Wang, May D. Wang 等 2003-04-01 置信度 0.72 BiologyDirected acyclic graphComputational biologyGene ontologyInterpretation (philosophy)
• Micro-Computed Tomographical Imaging of Soft Biological Materials Using Contrast Techniques
  The aim of this work was to introduce high-resolution computed tomography (micro-CT) for scaffolds made from soft natural biomaterials, and to compare these data with the conventional techniques scanning electron microscopy and light microscopy. Collagen-based…
  openalex Kaeuis A. Faraj, Vincent M.J.I. Cuijpers, Ronnie G. Wismans, X. Frank Walboomers 等 2009-01-21 置信度 0.72 Contrast (vision)GeologyRemote sensingComputer scienceArtificial intelligence
• Similarity network fusion for aggregating data types on a genomic scale
  openalex Bo Wang, Aziz M. Mezlini, Feyyaz Demir, Marc Fiume 等 2014-01-26 置信度 0.72 Complementarity (molecular biology)Computer scienceData typeComputational biologySimilarity (geometry)
• Algorithmic specification as a technique for computing with informal biological models
  openalex Michael Conrad 1981-01-01 置信度 0.72 Computer scienceTheoretical computer scienceComputational modelArtificial intelligenceCognitive science
• Optoelectronic Reservoir Computing
  Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single ou…
  openalex Y. Paquot, F. Duport, A. Smerieri, J. Dambre 等 2012-02-27 置信度 0.72 Reservoir computingComputer scienceNode (physics)Channel (broadcasting)Nonlinear system
• diffuStats: an R package to compute diffusion-based scores on biological networks
  Summary: Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritizing novel candidates in the area of study. There are several choices in conceiv…
  openalex Sergio Picart‐Armada, Wesley K. Thompson, Alfonso Buil, Alexandre Perera-Lluna 2017-10-04 置信度 0.72 BioconductorComputer scienceR packageNormalization (sociology)Benchmarking
• Multifunctional Gold Nanoparticles: A Novel Nanomaterial for Various Medical Applications and Biological Activities
  Nanotechnology has become a trending area in science and has made great advances with the development of functional, engineered nanoparticles. Various metal nanoparticles have been widely exploited for a wide range of medical applications. Among them, gold nan…
  openalex Xiaopei Hu, Yuting Zhang, Tingting Ding, Jiang Liu 等 2020-08-13 置信度 0.72 NanotechnologyPhotothermal therapyColloidal goldCharacterization (materials science)Nanoparticle
• CASTp: computed atlas of surface topography of proteins with structural and topographical mapping of functionally annotated residues
  Cavities on a proteins surface as well as specific amino acid positioning within it create the physicochemical properties needed for a protein to perform its function. CASTp (http://cast.engr.uic.edu) is an online tool that locates and measures pockets and voi…
  openalex Joseph Dundas, Zhengbiao Ouyang, Jeng‐Sen Tseng, Andrew Binkowski 等 2006-07-01 置信度 0.72 Protein Data Bank (RCSB PDB)BiologyProtein Data BankComputational biologyProtein structure
• From Biologically Inspired Computing to Natural Computing
  Biologically inspired computing is just one of the branches of natural computing, which also encompasses artificial life, fractal geometry and computing with natural means (molecular, membrane and quantum computing). This chapter provides a brief and general o…
  openalex Leandro Nunes de Castro, Fernando J. Von Zuben 2005-01-01 置信度 0.72 Natural computingMembrane computingScope (computer science)Computer scienceNatural (archaeology)
• Autonomic Computing: An Overview
  openalex Manish Parashar, Salim Hariri 2005-01-01 置信度 0.72 Autonomic computingDynamismComputer scienceVariety (cybernetics)Data science
• Protein 3D Structure Computed from Evolutionary Sequence Variation
  The evolutionary trajectory of a protein through sequence space is constrained by its function. Collections of sequence homologs record the outcomes of millions of evolutionary experiments in which the protein evolves according to these constraints. Decipherin…
  openalex Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan, Thomas A. Hopf 等 2011-12-07 置信度 0.72 Alignment-free sequence analysisMultiple sequence alignmentComputational biologyProtein structure predictionProtein sequencing
• Metascape provides a biologist-oriented resource for the analysis of systems-level datasets
  A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databa…
  openalex Yingyao Zhou, Bin Zhou, Lars Pache, Max W. Chang 等 2019-04-03 置信度 0.72 Computer scienceInteractomeAnnotationInferencePipeline (software)
• NCIPLOT: A Program for Plotting Noncovalent Interaction Regions
  Non-covalent interactions hold the key to understanding many chemical, biological, and technological problems. Describing these non-covalent interactions accurately, including their positions in real space, constitutes a first step in the process of decoupling…
  openalex Julia Contreras‐García, Erin R. Johnson, Shahar Keinan, Robin Chaudret 等 2011-01-25 置信度 0.72 Computer scienceNon-covalent interactionsComputer graphics (images)Human–computer interactionChemistry
• A rapid finite difference algorithm, utilizing successive over‐relaxation to solve the Poisson–Boltzmann equation
  Abstract An efficient algorithm is presented for the numerical solution of the Poisson–Boltzmann equation by the finite difference method of successive over‐relaxation. Improvements include the rapid estimation of the optimum relaxation parameter, reduction in…
  openalex Anthony Nicholls, Barry Honig 1991-05-01 置信度 0.72 Poisson–Boltzmann equationRelaxation (psychology)Poisson's equationBoltzmann equationReduction (mathematics)
• Bayesian Computing with INLA: A Review
  The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-Simon Laplace (1774). This simple idea approximates the integrand with a second-or…
  openalex Håvard Rue, Andrea Riebler, Sigrunn H. Sørbye, Janine Illian 等 2017-01-09 置信度 0.72 Laplace's methodBayesian probabilityInferenceBayesian inferenceComputer science