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• Device-level nonlinearity and temporal memory in optoelectronic reservoir computing.
  Reservoir computing (RC) has emerged as a promising computational paradigm for processing temporally correlated and nonlinear data with low training cost. Among various physical implementations, optoelectronic devices provide a unique opportunity to directly i…
  europepmc 2025 置信度 0.80
• Federated training of spiking neural networks on edge hardware for audio processing.
  Spiking Neural Networks have caught significant attention recently for their potential for energy-efficient computation on neuromorphic hardware and their event-driven processing. Spiking Neural networks employ spike-based learning paradigms, which require spe…
  europepmc 2026 置信度 0.80
• Beyond mimicry: a framework for evaluating genuine intelligence in artificial systems.
  Current AI benchmarks often equate mimicry with genuine intelligence, emphasizing task performance over the underlying cognitive processes that enable human-like understanding. The Machine Perturbational Complexity & Agency Battery (mPCAB) introduces a new, su…
  europepmc 2025 置信度 0.80
• The Neuro-Cardiac Symbiotic Engine: A Multimodal Fusion Architecture for Cognitive State Decoding via High-Performance Computing.
  Robust decoding of latent cognitive states from non-stationary physiological time series is a challenging high-dimensional signal processing problem. Traditional unimodal frameworks based only on electroencephalography often show covariate shift and weak cross…
  europepmc 2026 置信度 0.80
• A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity
  Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes the connectivity and activity of neural circuits. Existing computational models of Spike-Timing-Dependent Plasticity (STDP) capture long-term synaptic changes with varying d…
  europepmc 2025 置信度 0.80
• Polarity-Controlled Volatile HfO<sub>2</sub> Memristors with Bimodal Conductance for Neuromorphic Synapses and Reservoir Computing.
  In this work, an HfO 2 -based memristor exhibiting bimodal switching, wherein the device's conductance is modulated not only by the input stimulus but also by the polarity of the read voltage, is introduced. Uniquely, this device demonstrates reliable short-te…
  europepmc 2026 置信度 0.80
• Coupled ferroelectric-anisotropic optoelectronic synapse for polarization-sensitive neuromorphic vision.
  Polarization-sensitive photodetection and non-volatile memory are both vital for neuromorphic vision hardware but are rarely integrated within a single device. This challenge arises from interfacial instabilities and depolarization fields at the 2D/ferroelectr…
  europepmc 2026 置信度 0.80
• Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.
  Data Science can revolutionize biomedical sciences, and ultimately, health. However, this relies on core elements, including computing infrastructure, data science skills, and well-curated contextually relevant data, which are limited in low- and middle-income…
  europepmc 2026 置信度 0.80
• Computational Structural Analysis Predicts Host-Range Promiscuity and Antiviral Resistance in North American H5N1 Lineages.
  Influenza A virus has been circulating in birds in Eurasia for more than 146 years, but human infection has been sporadic. H5N1 (clade 2.3.4.4b) has recently infected hundreds of species of wild and domestic birds and mammals in North America. Infections inclu…
  europepmc 2026 置信度 0.80
• Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing.
  The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications. Inspired by in-memory computing architecture of human brain, flexible memristors exhibit great applicatio…
  europepmc Zhenqian Zhu, Jiheng Shui, Tianyu Wang, Jialin Meng 2025 置信度 0.80 Neuromorphic engineeringMemristorComputer architectureComputer scienceWearable computer
• Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT.
  Micro-computed tomography (microCT) and high-resolution peripheral quantitative computed tomography (HRpQCT) generate three-dimensional digital images capturing bone structure and quality. Radiomic analytical approaches applied to these images extract quantita…
  europepmc 2026 置信度 0.80
• SSE-TSR: An Approach to Integrate Secondary Structure Elements Into Triangular Spatial Relationships for Protein Classification.
  Protein structures are fundamental to understanding biological function, yet many detailed similarities remain hidden from conventional alignment-based or 3D superposition methods. Triangular Spatial Relationship (TSR) offers an alignment-free encoding of back…
  europepmc 2026 置信度 0.80
• Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning.
  Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we introduce an adjoint propagation (AP) framework, in which th…
  europepmc 2026 置信度 0.80
• From indicators to governance: a pressure-condition-response framework reveals nonlinear ecological responses to multiple stressors in an agricultural-urban basin.
  Understanding how multiple interacting stressors modulate aquatic community dynamics is fundamental to forecasting ecosystem trajectories under accelerating global change. In subtropical basins, the concurrent influences of thermal regimes, ionic composition, …
  europepmc 2026 置信度 0.80
• Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.
  The rapid evolution of artificial intelligence (AI) and its profound integration with the pharmaceutical industry essentially constitute a process of knowledge recombination. Yet, empirical evidence systematically characterizing the structural and evolutionary…
  pubmed Xiao J, Li T, Luan Y, Chen X 2026 置信度 0.82
• Fully hardware-oriented physical reservoir computing using 3D vertical resistive switching memory with different bottom electrodes.
  Reservoir computing (RC) is a promising machine learning paradigm that processes input data using a fixed random network. However, implementing both reservoir and readout layers typically requires multiple devices and additional fabrication steps. To overcome …
  europepmc 2025 置信度 0.80
• Two-Dimensional MXene-Based Advanced Sensors for Neuromorphic Computing Intelligent Application.
  As emerging two-dimensional (2D) materials, carbides and nitrides (MXenes) could be solid solutions or organized structures made up of multi-atomic layers. With remarkable and adjustable electrical, optical, mechanical, and electrochemical characteristics, MXe…
  europepmc 2025 置信度 0.80
• What is next for LLMs? Pushing the boundaries of next-gen AI computing hardware with photonic chips.
  Large language models (LLMs) are rapidly pushing the limits of contemporary computing hardware. For example, training GPT-3 has been estimated to consume around 1,300 MWh of electricity, and projections suggest future models may require city-scale (gigawatt) p…
  europepmc 2025 置信度 0.80
• Enhancing Cloud-Based Healthcare Security With Quantum-Secure HealthChain: A Quantum Computing and Blockchain Integrated Framework.
  Background and aims Rising quantum hazards and flaws in conventional encryption make cloud-based healthcare data security harder. Quantum-Secure HealthChain, a new architecture using blockchain and quantum computing, improves medical data security, patient pri…
  europepmc 2026 置信度 0.80
• Divergent Selection on Dispersal Targets Chemosensory and Neuronal Genes in Tribolium castaneum.
  Dispersal is key to the life history, ecology and evolution of many organisms and important in pest invasiveness. However, the genetic architecture underlying variation in dispersal behaviour remains poorly understood outside of a few model species. We investi…
  europepmc 2026 置信度 0.80
• Decoding halide perovskites for neuromorphic and memristive devices.
  The von Neumann architecture serves as the foundation for computers by storing data and instructions in the same memory space; however, it limits the data transfer between the CPU and memory. The human brain is an avant-garde organic machine that connects elec…
  europepmc 2025 置信度 0.80
• Data-centric review of multimodal emotion recognition: datasets, feature extraction, data fusion and limitations.
  Emotion recognition is a major challenge in affective computing. It enables systems to determine human emotions using multiple modalities, such as text, audio, facial expressions, and physiological data. The field of multimodal emotion recognition (MER) has ac…
  europepmc 2026 置信度 0.80
• A de novo genome assembly of an Angelman syndrome pig (Sus scrofa domesticus) model to resolve SNHG14.
  Pigs (Sus scrofa domesticus) are used as biomedical and preclinical models for their comparable anatomy, physiology, and neurodevelopment to humans. Angelman syndrome is a rare genetic neurodevelopmental disorder, caused by the loss of the maternal Ubiquitin p…
  europepmc 2026 置信度 0.80
• Convergence of Soft Electronics and Artificial Intelligence: From Materials to Intelligent Systems.
  Soft electronics are an emerging class of mechanically compliant platforms that enable conformal, skin-interfaced sensing and actuation on curvilinear and dynamic surfaces. These systems combine deformation-tolerant electrical functionality with soft contact m…
  europepmc 2026 置信度 0.80
• Leveraging training expertise to build capacity in computational personalised medicine.
  Summary Rapid development of genomic technologies in recent years enables personalised medicine to become an essential part of healthcare. Advanced computational methods are required to extract relevant insights that can be applied in clinical settings. This p…
  europepmc 2026 置信度 0.80
• HyperPhS: a pharmacophore-guided multimodal representation framework for metabolic stability prediction through contrastive hypergraph learning.
  Motivation Metabolic stability is crucial in the early stage of drug discovery and development. Drug candidate screening and optimization can be streamlined through the accurate prediction of stability. Functional groups within drug molecules are known as phar…
  europepmc 2025 置信度 0.80
• PEPE: scalable extraction of multi-modal protein language model representations.
  Summary Protein language models (PLMs) capture intricate amino-acid dependencies, producing embeddings that encode rich structural, functional, and evolutionary information. Despite their potential, current extraction workflows rely on arbitrary choices, with …
  europepmc 2026 置信度 0.80
• STWM: Sliding Time Window Method Driven by Enzymes for Image Information Access.
  DNA molecular circuits are pivotal to biological information processing, where precise temporal regulation is essential for programmable molecular computation and controllable biochemical networks. Nevertheless, incorporating time as a regulatory parameter for…
  europepmc 2025 置信度 0.80
• Drug repurposing to combat multidrug-resistant hookworm.
  Anthelmintic resistance (AR) poses an escalating threat to global soil-transmitted helminth control efforts, particularly in the context of mass drug administration (MDA) programs that rely heavily on benzimidazole drugs. To address the urgent need for novel t…
  europepmc 2026 置信度 0.80
• Far-red chlorophyll d clusters extend photosystem I absorption toward the red limit.
  Oxygenic photosynthesis is usually limited to visible light, but the marine cyanobacterium Acaryochloris marina pushes this boundary by harvesting far-red photons with chlorophyll d. The best-studied strain, MBIC11017, unexpectedly lacks low-energy chlorophyll…
  europepmc 2026 置信度 0.80
• Deep adaptive fusion network with multimodal neuroimaging information for MDD diagnosis: an open data study.
  Neuroimaging offers powerful evidence for the automated diagnosis of major depressive disorder (MDD). However, discrepancies across imaging modalities hinder the exploration of cross-modal interactions and the effective integration of complementary features. T…
  europepmc 2026 置信度 0.80
• Self-evolving cognitive substrates through metabolic data processing and recursive self-representation with autonomous memory prioritization mechanisms.
  Introduction Conventional artificial intelligence (AI) systems are limited by static architectures that require periodic retraining and fail to adapt efficiently to continuously changing data environments. To address this limitation, this research introduces a…
  europepmc 2025 置信度 0.80
• From microelectrode arrays to all-optical and multimodal neural interfaces: emerging platforms for spatiotemporal interrogation of <i>in vitro</i> neural circuits.
  Understanding how synaptic interactions lead to circuit dynamics for neural computation requires experimental tools that can both observe and perturb neuronal activity across spatial and temporal scales. Microelectrode arrays (MEAs) provide scalable access to …
  europepmc 2025 置信度 0.80
• Maternal gut and vaginal microbiota, alcohol use during pregnancy, and infant fetal alcohol spectrum disorder diagnosis in a South African cohort
  Background The detrimental impact of alcohol consumption on the gut microbiome is well-established. However, less is known about how alcohol exposure during pregnancy affects the maternal gut and vaginal microbiota, or how these microbial changes relate to sub…
  europepmc 2026 置信度 0.80
• Dual sagittal-guided coarse-to-fine rib segmentation and numbering in chest CT.
  Rib identification in chest CT is time-consuming and labor-intensive, as clinicians repetitively examine hundreds of CT slices to pinpoint a certain rib on a random slice. Computer-aided rib numbering tools exist, however, their performance hinges on precise r…
  europepmc 2026 置信度 0.80
• A grapeful discovery: Reservoir computing with wine beads.
  In this work, we introduce encapsulated wine beads as a novel, edible material for unconventional and neuromorphic computing. When encapsulated in alginate beads, wine, a complex mixture of proteins, organic acids, sugars, metal ions, and volatiles, exhibits n…
  europepmc 2025 置信度 0.80
• Diverse hydrogen chemistry with perspectives for energy storage.
  The chemistry of hydrogen and its interaction with matter is remarkably diverse with new discoveries and materials continuously being uncovered. New types of chemical bonding and interactions allow for the preparation of new compounds with unusual compositions…
  europepmc 2026 置信度 0.80
• Attending to 'Computational Universalism': Practices, Frictions, Events.
  This research note reflects on, and responds to, Lee and Ribes discussion of 'computational universalism', setting this in dialogue with Suchman's account of 'The uncontroversial "thingness" of AI' and with wider STS literature. In discussing the conceptual re…
  europepmc 2026 置信度 0.80
• Local transcriptional covariation produces accurate estimates of cell phenotype.
  Summary The utility of single-cell RNA sequencing (scRNA-seq) is premised on the notion that transcriptional state can faithfully reflect cell phenotype. However, scRNA-seq measurements are noisy and sparse, with individual transcript counts showing limited co…
  europepmc 2026 置信度 0.80
• Buried Contouring PTCDI-C13 Layer for Interface Engineering in Dual-Function Optical Synaptic and Memory Transistors.
  We present a heterojunction based on the n-type organic semiconductor N , N '-ditridecyl-3,4,9,10-perylenetetracarboxylic diimide (PTCDI-C 13 ) with a PTCDI-C 13 /parylene/PTCDI-C 13 -layered structure, enabling dual functionality as both an optical synaptic a…
  europepmc 2025 置信度 0.80
• Self-calibrating neuromorphic system for adaptive environmental sensing.
  Precision agriculture demands accurate, real-time environmental monitoring, conventional soil moisture sensors face critical issues such as long-term drift, high energy consumption, and limited adaptability to dynamic environmental changes. These limitations o…
  europepmc 2026 置信度 0.80
• Computational analysis of haemodynamics and oxygen distribution in the patient-specific aorta during VA-ECMO under various clinical scenarios.
  Extracorporeal membrane oxygenation (ECMO) is a life-support modality that supports cardiopulmonary function in critically ill patients. Veno-arterial (VA)-ECMO, which reinfuses blood through the femoral artery, can cause upper body hypoxemia due to uneven oxy…
  europepmc 2026 置信度 0.80
• Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing.
  Artificial neural networks have long been studied to emulate the cognitive capabilities of the human brain for artificial intelligence (AI) computing. However, as computational demands intensify, conventional hardware based on transistor and complementary meta…
  europepmc 2025 置信度 0.80
• Visualizing the multidimensional landscape of biological variation in modern microscopy.
  Variation is a foundational biological principle that has historically been marginalized-both due to limited experimental accessibility and because of idealized, stereotypic blueprints rooted in essentialist thinking. With the advent of genetics and quantitati…
  europepmc 2026 置信度 0.80
• Memristive Physical Reservoir Computing.
  Reservoir computing (RC) has emerged as an efficient neuromorphic framework for temporal information processing, offering low training complexity and hardware-friendly implementation. Memristors' nonlinear dynamics and input-dependent memory effects make them …
  europepmc 2026 置信度 0.80
• Segzoo: a turnkey system that summarizes genome annotations.
  Motivation Segmentation and automated genome annotation (SAGA) techniques, such as Segway and ChromHMM, assign labels to every part of the genome, identifying similar patterns across multiple genomic input signals. Inferring biological meaning in these pattern…
  europepmc 2026 置信度 0.80
• Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
  Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minimally invasive surgery (RAMIS), including surgical training, skill assessment, an…
  europepmc 2026 置信度 0.80
• Progress and new challenges in image-based profiling.
  For over two decades, image-based profiling has revolutionized cell phenotype analysis. Image-based profiling processes rich, high-throughput, microscopy data into thousands of unbiased measurements that reveal phenotypic patterns powerful for drug discovery, …
  europepmc 2026 置信度 0.80
• Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications.
  Neuromorphic technologies offer a promising pathway to address the escalating energy demands of artificial intelligence. At the system level, neuromorphic computing seeks to overcome the von Neumann bottleneck by integrating memory and processing, while neurom…
  europepmc 2026 置信度 0.80
• Artificial intelligence meets brain theory (again).
  After noting the cybernetic origins of Kybernetik/ Biological Cybernetics, we respond to the Editorial by Fellous et al. (2025) and then analyze talks from the NIH BRAIN NeuroAI 2024 Workshop to get one "snapshot" of the state of the conversation between Artif…
  europepmc 2025 置信度 0.80
• Benchmarking major somatic structural variant callers on the HG008 genome.
  Somatic structural variants (SVs) are the predominant source of cancer driver mutations and play a critical role in oncogenesis. Comprehensive characterization of somatic SVs is critical for elucidating the mechanisms underlying tumorigenesis and for identifyi…
  europepmc 2026 置信度 0.80
• Biomimetic Synapses Based on Halide Perovskites for Neuromorphic Vision Computing: Materials, Devices, and Applications.
  The demand for accurate perception of the physical world has led to a dramatic increase in visual sensing data, accompanied by challenges in the energy efficiency of data processing. However, conventional vision systems with separated sensor and processing uni…
  europepmc 2026 置信度 0.80
• spAttClu: a spatial domain clustering model leveraging spatially weighted graph attention and contrastive learning.
  Motivation The rapid growth of spatial transcriptomics data holds potential for deep understanding of spatial specificity and tissue heterogeneity. Recognizing spatial domains is a fundamental step for deciphering tissue functional architecture and dissecting …
  europepmc 2026 置信度 0.80
• Multisensory Neuromorphic Devices: From Physics to Integration.
  The increasing complexity of intelligent sensing environments, driven by the growth of Internet of Things technologies, has created a strong demand for neuromorphic systems capable of real-time, low-power multisensory perception. Traditional sensory architectu…
  europepmc 2026 置信度 0.80
• CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.
  Climate change is threatening plant health and productivity at all spatial scales, and these impacts are further compounded by the rising incidence of invasive pests and pathogens. Effectively addressing these challenges requires a comprehensive understanding …
  europepmc 2026 置信度 0.80
• Easy and interactive taxonomic profiling with Metabuli App.
  Summary Accurate metagenomic taxonomic profiling is critical for understanding microbial communities. However, computational analysis often requires command-line proficiency and high-performance computing resources. To lower these barriers, we developed Metabu…
  europepmc 2025 置信度 0.80
• Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using Nextflow.
  Data-independent acquisition (DIA) mass spectrometry is a technique used in proteomics to identify and quantify proteins in complex biological samples. While this comprehensive approach yields more complete and reproducible protein profiles than data-independe…
  europepmc 2026 置信度 0.80
• On ARGs, pedigrees, and genetic relatedness matrices.
  Genetic relatedness is a central concept in genetics, underpinning studies of population and quantitative genetics in human, animal, and plant settings. It is typically stored as a genetic relatedness matrix, whose elements are pairwise relatedness values betw…
  europepmc 2026 置信度 0.80
• Testing for a difference in means of a single feature after clustering.
  For many applications, it is critical to interpret and validate groups of observations obtained via clustering. A common interpretation and validation approach involves testing differences in feature means between observations in two estimated clusters. In thi…
  europepmc 2025 置信度 0.80
• Physical Intelligence in Small-Scale Robots and Machines.
  Intelligent living organisms-from unicellular entities to plants-rely on body physical intelligence (PI) to autonomously adapt and thrive in dynamic and complex environments, bypassing neural processing. The paradigm of PI has become a pivotal framework for sm…
  europepmc 2026 置信度 0.80
• Timing-Dependent Spiking Neural Network: Board-Level Hardware Implementation with Photoelectroactive Van der Waals Synapses.
  The rapid growth of unstructured data in applications such as autonomous systems and edge AI underscores the urgent need for energy-efficient, real-time computing exemplified by biological brains, where synaptic weights are adjusted according to the timing of …
  europepmc 2026 置信度 0.80
• Probing the dark energy in the functional protein universe.
  We show how to localize and quantify the functional evolutionary constraints on natural proteins. Protein folding has been one of the strongest constraints in sequence evolution. The method we propose compares the perturbations caused by local sequence variant…
  europepmc 2026 置信度 0.80
• Multimodal AI mapping with GigaTIME reveals spatial immune signaling states in the tumor microenvironment.
  europepmc 2026 置信度 0.80
• Fault-tolerant pedigree reconstruction from pairwise kinship relations.
  Motivation Pedigrees reconstructed from biologically related ancient genomes have revealed many insights into (pre)history. To our knowledge, all reported ancient pedigrees have been primarily manually reconstructed, as existing pedigree reconstruction methods…
  europepmc 2026 置信度 0.80
• Molecular-level protein semantic learning via structure-aware coarse-grained language modeling.
  Motivation Protein language models (PLMs) have emerged as pivotal tools for protein representation, enabling significant advances in structure-function prediction and computational biology. However, current PLMs predominantly rely on fine-grained amino acid se…
  europepmc 2026 置信度 0.80
• Intelligent generation of product bionic image forms via multimodal emotion-weighted quantification.
  To address key limitations in traditional bionic image design, including the lack of quantitative analysis of user preferences and the poor controllability of AI-driven picture generation, which often leads to homogeneous outputs with limited emotional resonan…
  europepmc 2026 置信度 0.80
• Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms.
  The rapid growth of computational neuroscience and brain-computer interface (BCI) technologies require efficient, scalable, and biologically compatible approaches for neural data acquisition and interpretation. Traditional sensors and signal processing pipelin…
  europepmc 2025 置信度 0.80
• The geo-politics of resilience: On the historical convergence between ecology, artificial intelligence, and corporate strategy.
  Today, few terms are more central to policy, planning, or economics than the term "resilience." From urban planning to twining the earth systems, we have come to understand systems as constantly in a state of crisis that needs perpetual management. This articl…
  europepmc 2025 置信度 0.80
• Protein Design Enters the Artificial Intelligence Era: Foundations, Tools, and Emerging Paradigms.
  Artificial intelligence (AI) has transformed protein engineering by leveraging deep learning, protein language models, and knowledge graphs to decode relationships between sequence, structure, and function. Models like AlphaFold2 achieve near-experimental accu…
  europepmc 2026 置信度 0.80
• Artificial intelligence in drug discovery from advanced molecular representation to pipeline applications.
  The pharmaceutical research and development (R&D) process is persistently challenged by high financial costs, protracted timelines, and remarkably low success rates. Artificial intelligence (AI) technology, by simulating complex biological systems, has acceler…
  europepmc 2026 置信度 0.80
• Inference and Visualization of Complex Genotype-Phenotype Maps.
  Understanding how biological sequences give rise to observable traits, that is, how genotype maps to phenotype, is a central goal in biology. Yet, our knowledge of genotype-phenotype maps in natural systems remains limited by the high dimensionality of sequenc…
  europepmc 2026 置信度 0.80
• Organic Electrochemical Transistors for Neuromorphic Devices and Applications.
  Neuromorphic engineering, an interdisciplinary field bridging bioelectronics and neuroscience, endeavors to address the bottleneck of the von Neumann architecture by constructing hardware-level artificial neural networks (ANNs) and replicate the complicated ar…
  europepmc 2026 置信度 0.80
• Monolithic 3D Integration of Vertical Memory with Phototransistor for Near-Sensor Cryptography and Homomorphic Data Searching.
  Inspired by the human retina, retinomorphic systems achieve efficient near-sensor processing by tightly integrating sensing, memory, and computing. However, unlike biological vision, which evolved without selective pressure for data confidentiality, artificial…
  europepmc 2026 置信度 0.80
• Multidimensional Drivers of Phytoplankton Assembly in a Karst Reservoir: Seasonal Dynamics and Regulatory Implications.
  Baihua Reservoir, a typical large waterbody in the karst region of southwestern China and an essential drinking water source, is characterized by a high carbonate buffering capacity that profoundly shapes the structure and function of its phytoplankton communi…
  europepmc 2026 置信度 0.80
• Editorial: Physical AI and robotics - outputs from IS-PAIR 2025 and beyond.
  europepmc 2026 置信度 0.80
• Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments.
  BACKGROUND: Analysing large-scale mass spectrometry-based complex proteomics datasets often overwhelm desktop computational resources and require manual configuration for analysis. While FragPipe delivers rapid peptide identification across diverse sample prep…
  europepmc 2026 置信度 0.80
• ChloroScan: Recovering Plastid Genome Bins From Metagenomic Data.
  Genome-resolved metagenomics has contributed greatly to discovering prokaryotic genomes. When applied to microscopic eukaryotes (protists), challenges such as the high number of introns and repeat regions found in nuclear genomes have hampered the mining and d…
  europepmc 2026 置信度 0.80
• Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science.
  Despite the increasing availability of large-scale brain data tools, many researchers struggle to use them effectively alongside AI. This is not due to a lack of access, but because existing training resources emphasize proficiency with these tools over critic…
  europepmc 2026 置信度 0.80
• Information-theoretic and physical constraints on advanced neural signal decoding.
  Recent interdisciplinary research has raised interest in whether non-classical physical principles may impose fundamental constraints on how neural information can be observed, extracted, or decoded. While conventional neuroscience models neural signaling prim…
  europepmc 2026 置信度 0.80
• MZSGO: multimodal zero-shot protein function annotation via evolutionary signals and textual semantics.
  Motivation Although deep learning has significantly advanced the field of protein function prediction, current approaches are limited by their reliance on a narrow set of modalities. Specifically, they primarily rely on sequence patterns and treat protein doma…
  europepmc 2026 置信度 0.80
• Adaptive recognition network for few-shot plant diseases and pests based on homeostatic neuromodulation and meta-plasticity.
  Introduction Static networks often exhibit limited generalization on few-shot data, particularly given the scarce samples and unstructured background noise inherent to precision agriculture. To address these limitations, an adaptive recognition network for few…
  europepmc 2026 置信度 0.80
• STAHD: a scalable and accurate method to detect spatial domains in high-resolution spatial transcriptomics data.
  Motivation Spatial transcriptomics (ST) enables the study of spatial heterogeneity in tissues. However, current methods struggle with large-scale, high-resolution data, leading to reduced efficiency and accuracy in detecting spatial domains. A scalable, precis…
  europepmc 2026 置信度 0.80
• The power and limits of predicting inter-protein exon-exon interactions using protein 3D structures.
  Motivation Alternative splicing (AS) effects on cellular functions can be captured by studying changes in the underlying protein-protein interactions (PPIs). Because AS results in the gain or loss of exons, existing methods for predicting AS-related PPI change…
  europepmc 2026 置信度 0.80
• Phylodynamics of Somatic Evolution: A Likelihood-Based Approach for Cellular Reproduction.
  Understanding the evolutionary dynamics of cell populations requires models that link observed phylogenetic patterns to the underlying processes of cell division, death, and mutation. Classical phylodynamic inference methods-developed primarily for macroevolut…
  europepmc 2026 置信度 0.80
• Applications of large-scale artificial intelligence models in bioinformatics.
  Large-scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have compr…
  europepmc 2026 置信度 0.80
• Spatial-Wavelength Multiplexing Error-Controlled Photonic Analog Computing System.
  In the "post-Moore era," the growing challenges in traditional digital computing have driven renewed interest in analog computing. Photonic analog computing has emerged as an effective paradigm for overcoming the fundamental bottlenecks that constrain conventi…
  europepmc 2026 置信度 0.80
• Gene Editing and AI: Revolutionizing Biotechnology for a Sustainable Future.
  europepmc 2026 置信度 0.80
• Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.
  Incorporating biological molecular interactions into cognitive computing through chemical artificial intelligence (AI) presents a transformative approach with far-reaching implications for various fields, such as protein engineering, drug discovery, bioinforma…
  europepmc Orkid Coskuner-Weber, Pier Luigi Gentili, Vladimir N. Uversky 2025 置信度 0.80
• Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence.
  Wetware Network-Based Artificial Intelligence (WNAI) introduces a new approach to robotic cognition and artificial intelligence: autonomous cognitive agents built from synthetic chemical networks. Rooted in Wetware Neuromorphic Engineering , WNAI shifts the fo…
  europepmc 2025 置信度 0.80
• The adaptive plasticity of temperate phage <i>λ</i>.
  When the temperate phage [Formula: see text] infects its host, the bacterium Escherichia coli , it can either replicate to form new progeny (lytic growth) or integrate its genome into the host chromosome (lysogenization). Crucially, the probability of lysis or…
  europepmc 2026 置信度 0.80
• Biogenic/chitosan/bamboo fiber ternary bio-nanocomposite: Dual-functional platform for environmental and biomedical applications.
  Quality of life depend on access to water that is free from contaminants and harmful microorganisms. However, industrialization, population growth, and environmental pollution have severely impacted water quality worldwide. This study presents a novel, biodegr…
  europepmc 2025 置信度 0.80
• AIxBio: Opportunities to Strengthen Health Security.
  Artificial Intelligence (AI) has the potential to revolutionize biosecurity, health security, biodefense, and pandemic preparedness by offering groundbreaking solutions for managing biological threats. This landscape review explores recent advancements in AI a…
  europepmc 2026 置信度 0.80
• From Protein Structure to Drug Discovery: Bioinformatics Breakthroughs in 2024-2025.
  Bioinformatics is a key part of modern biomedical research that helps scientists understand complex biological systems with great accuracy [...].
  europepmc 2025 置信度 0.80
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