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• Quantum analysis of protein–ligand binding by integrating structural resolution, sequence homology, and ligand properties
  ABSTRACT Predicting protein–ligand binding affinity is a fundamental challenge in computational biology and drug discovery, complicated by diverse factors including protein sequence variability, ligand chemical diversity, and structural resolution. Here, we pr…
  preprints 2025 置信度 0.74
• NeuroGraph-TSC: A Neuro-Inspired Graph-Based Temporal-Spatial Classifier for Cognitive State Prediction from EEG
  Accurate prediction of cognitive states such as psychological stress from electroencephalography (EEG) remains a significant challenge due to the inherently spatiotemporal and nonlinear nature of brain dynamics. To address these complexities, we propose NeuroG…
  preprints 2025 置信度 0.74
• GS-OCMXM: Towards Parallel and GPU Accelerated Computing on GS-Based Multi-Cross-Modality Learning for Accurate Segmentation of Ultrasonography Thyroid Nodule Cancer Detection with Limited Labels
  AI-assisted thyroid nodule evaluation shows promise in improving thyroid nodule detection, which can be missed by ultrasound(US)-guided hand-held transducer due to the complexity of nodules segmentation. this paper proposed the paper proposes an efficient 4-le…
  preprints 2025 置信度 0.74
• Recent Advances in Efficient Spiking Neural Networks: Architectures, Learning Rules, and Hardware Realizations
  Spiking Neural Networks (SNNs) have emerged as a promising paradigm for energy-efficient and event-driven computing, drawing inspiration from biological neurons. Recent research has introduced novel methods to enhance the performance, robustness, and hardware …
  preprints 2025 置信度 0.74
• Brain-inspired synaptic transistors for in-situ spiking reinforcement learning with eligibility trace
  Abstract Brain-inspired reinforcement learning (RL) represents a pivotal pathway toward artificial general intelligence, yet existing hardware implementations based on artificial neural networks lack critical biological mechanisms like third-terminal modulated…
  preprints 2025 置信度 0.74
• Chrom-Sig: de-noising 1-dimensional genomic profiles by signal processing methods
  Motivation Modern genomic research is driven by next-generation sequencing experiments such as ChIP-seq, CUT&Tag, and CUT&RUN that generate coverage files for transcription factor binding, as well as ATAC-seq that yield coverage files for chromatin accessibili…
  preprints 2025 置信度 0.74
• Amorphous, fully-stoichiometric molybdenum oxide for high performance nonvolatile resistive switching memory: The role of stoichiometry on synaptic plasticity
  Abstract Transition metal oxides (TMOs) are a promising class of materials for neuromorphic computing and processing systems demonstrating a variety of resistive switching (RS) mechanisms. However, little is known about the correlation between its stoichiometr…
  preprints 2025 置信度 0.74
• Genomic Compute Trifecta
  In this paper, we present the Genomic Compute Trifecta, which are the fundamental structural barriers to scalable computation of genomics and multi-omics workloads due to the complexity of the data structure and its incompatibility with the assumptions underpi…
  preprints 2025 置信度 0.74
• 2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency
  The demand for computing power has been growing exponentially with the rise of artificial intelligence (AI), machine learning, and the Internet of Things (IoT). This growth requires unconventional computing primitives that prioritize energy efficiency, while a…
  preprints 2025 置信度 0.74
• Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing
  Abstract Machine learning algorithms enable computers to learn autonomously by emulating human intelligence, but they require considerable electronic computational resources, increasing costs for big data processing. To address the burgeoning demand for comput…
  preprints 2025 置信度 0.74
• Critical intelligence: computing defensive behaviour
  Characterising the mechanisms underlying naturalistic defensive behavior remains a significant challenge. While substantial progress has been made in unravelling the neural basis of tightly constrained behaviors, a critical gap persists in our comprehension of…
  preprints 2025 置信度 0.74
• A Computational Approach for Cell Characterization Without Prior Isolation: Advances in scRNA-seq
  Abstract Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of cellular heterogeneity, but traditional cell isolation methods like flow cytometry and laser microdissection often suffer from limitations in efficiency, viability, and bias. T…
  preprints 2025 置信度 0.74
• The No Body Problem: Intelligence and Selfhood in Biological and Artificial Systems
  Do you need a body to be an intelligent system? Clearly not. Artificial systems such as Large Language Models do not have a body and yet they are promptly qualified as intelligent and even conscious. But what exactly is intelligence? And do you need a body to …
  preprints 2025 置信度 0.74
• wQFM-GDL Enables Accurate Quartet-based Genome-scale Species Tree Inference Under Gene Duplication and Loss
  Species tree estimation from multi-copy gene family trees, including both paralogs and orthologs, is a challenging task due to the gene tree discordance caused by biological processes such as incomplete lineage sorting (ILS) and gene duplication and loss (GDL)…
  preprints 2025 置信度 0.74
• Neural Information Organizing and Processing Principles
  The neural information organizing and processing principles are presented in a general transdisciplinary axiomatic form, highlighting the fundamental neural informational characteristics and processes as a guiding informational synthesis useful in various fiel…
  preprints 2025 置信度 0.74
• Quantum algorithm for identifying RNA 3D motifs by processing RNA secondary structure graphs
  The identification of RNA motifs plays a crucial role in understanding biological functions, predicting RNA 3D structures, and designing RNA-based therapeutics. One of the efficient strategies approaches this task by analyzing secondary structure graphs annota…
  preprints 2025 置信度 0.74
• DynaRNA: Dynamic RNA Conformation Ensemble Generation with Diffusion Model
  RNA plays a wide variety of roles in biological processes. In addition to serving as the coding messenger RNA (mRNA), the vast majority of RNAs function as non-coding RNAs (ncRNAs), where their dynamic structural ensemble is critical for mediating diverse biol…
  preprints 2025 置信度 0.74
• Energy-efficient artificial pyramidal neuron dendrites for visual information inference
  Abstract In the human brain, a specialized type of pyramidal neuron dendrite exhibits nonlinear spike integration and sparse parallel processing capabilities. This unique structure enables efficient execution of visual tasks by activating only a small subset o…
  preprints 2025 置信度 0.74
• Dotplotic: a lightweight visualization tool for BLAST+ alignments and genomic annotations
  With the development of sequencing technologies, chromosome-level genome assemblies have become increasingly common across various organisms, including non-model species. BLAST+ is one of the most widely used bioinformatics tools for computing sequence alignme…
  preprints 2025 置信度 0.74
• Laser-Guided Ion Dynamics in a Dual-Mode Memristor for Bioinspired Neuronal and Synaptic Integration
  Abstract Neuromorphic computing aims to replicate the parallel, adaptive nature of biological intelligence in electronic systems. Despite considerable advances in memristor technology, material-encoded neurosynaptic bifunctionality has not been demonstrated. W…
  preprints 2025 置信度 0.74
• A Comprehensive Review on Deep Learning for Genomics and AI in Drug Discovery
  The convergence of deep learning with genomics and artificial intelligence in drug discovery represents a transformative paradigm in biomedical research, offering unprecedented opportunities to accelerate scientific discovery and revolutionize healthcare. This…
  preprints 2025 置信度 0.74
• Quantum Convolutional HLA Immunogenic Peptide Prediction (Q-CHIPP): Next-Generation Neoantigen Prediction with Quantum Neural Networks
  ABSTRACT The immune system is an intricately evolved series of cellular and protein-protein interactions, which defend the body against pathogens and abnormal cells such as cancer. A key player in the immunologic recognition of non-self is the immune synapse, …
  preprints 2025 置信度 0.74
• Hierarchical Signatures of Language in the Human Brain
  Language relies on a hierarchy of sensory and cognitive processes, yet how different levels of this hierarchy are supported by distinct neural architectures remains unclear. Here we show that semantic processing, compared with phonological processing, is assoc…
  preprints 2026 置信度 0.74
• Federated k-Core Decomposition: A Secure Distributed Approach
  Abstract As one of the most well-studied cohesive subgraph models, the k-core is widely used to find graph nodes that are “central” or “important” in many applications, such as biological networks, social networks, ecological networks, and financial networks. …
  preprints 2025 置信度 0.74
• Efficient learning and intrinsic noise filtering in recurrent spiking neural networks trained with e-prop
  Objective Biologically plausible learning rules for neural networks, such as e-prop (eligibility propagation), are essential both for advancing neuromorphic computing and for understanding fundamental mechanisms of learning in animal brains. However, their beh…
  preprints 2025 置信度 0.74
• A Mean-Field Approach to Criticality in Spiking Neural Networks for Reservoir Computing
  Reservoir computing is a neural network paradigm for processing temporal data by exploiting the dynamics of a fixed, high-dimensional system, enabling efficient computation with reduced complexity compared to fully trainable recurrent networks. This work prese…
  preprints 2025 置信度 0.74
• SIREN: Suite for Intelligent RNAi Design and Evaluation of Nucleotide Sequences
  Motivation RNA interference (RNAi) is a powerful tool for gene silencing across biological research, therapeutics, and agriculture. While siRNA design has benefited from advances in thermodynamic modeling and machine learning, comprehensive tools for designing…
  preprints 2025 置信度 0.74
• A canonical cortical electronic circuit for neuromorphic intelligence
  Cortical microcircuits play a fundamental role in natural intelligence. While they inspired a wide range neural computation models and artificial intelligence algorithms, few attempts have been made to directly emulate them with an electronic computational sub…
  preprints 2025 置信度 0.74
• Measuring Genomic Data with Prefix-Free Parsing
  Summary Prefix-free parsing [Boucher et al., Alg. Mol. Biol., 2019] is a highly effective heuristic for computing text indexes for very large amounts of biological data. The algorithm constructs a data structure, the prefix-free parse (PFP) of the input, consi…
  preprints 2025 置信度 0.74
• TransAgent: Dynamizing Transcriptional Regulation Analysis via Multi-omics-Aware AI Agent
  Transcriptional regulation research, as a core area of life sciences, faces challenges such as scattered multi-omics data, complex joint analysis, and difficulties in integrating data processing tools. To address these issues, we propose TransAgent, an agent s…
  preprints 2025 置信度 0.74
• Freshness flavour perception via quantum-inspired and quantum ligand-based virtual screening
  Abstract Flavour perception is a complex and critical biological process in the food industry in general and in beer production in particular. Taste is influenced by the simultaneous interaction of a large number of molecules present in food and beverages with…
  preprints 2025 置信度 0.74
• Measurement of atomic scattering factors by cryo-electron microscopy
  Determination of specimen structure from cryo-electron microscopy (cryo-EM) experiments relies on an accurate model of the electrostatic potential of the specimen. For biological macromolecules, the potential is strongly influenced by the presence of chemical …
  preprints 2025 置信度 0.74
• Analytical approach of synchronous and asynchronous update schemes applied to solving biological Boolean networks
  Characterizing the minimum, necessary and sufficient components to generate the dynamics of a biological system has always been a priority to understand its functioning. In this sense, the canonical form of biological systems modeled by Boolean networks accura…
  preprints 2025 置信度 0.74
• Predicting functional topography of the human visual cortex from cortical anatomy at scale
  Topographic organization, whereby neighboring cortical locations encode neighboring features in sensory or cognitive space, is a fundamental principle of brain function. Existing approaches for obtaining individual-specific topographic maps either require reso…
  preprints 2025 置信度 0.74
• Integrating Biological Context into Computing Education: Enhancing Interdisciplinary Learning in Biomedical Engineering
  Teaching BME 303 -Introduction to Computing, which covers programming languages such as C++ and Python, addresses the challenge of teaching foundational coding concepts while ensuring their applicability to biomedical engineering (BME).Recognizing that program…
  crossref Ernesto Lima 2025-04-29T11:34:37Z 置信度 0.70
• Quantum-Nuclear DNA Computing: Using Nucleotide Spin States as Biological Quantum Bits for Molecular Calculations
  crossref Ndenga Lumbu Barack 2025-09-02T10:25:07Z 置信度 0.70
• Application of Big Biological Data Analysis Techniques in Molecular Biology
  To enhance the storage and analysis efficiency of large-scale data in molecular biology, a distributed database model accommodating diverse data types was developed, complemented by machine learning optimization algorithms for molecular sequence alignment, str…
  crossref Zijian Zheng 2025-05-10T11:29:00Z 置信度 0.70
• Evaluating Node Embedding Techniques for Drug – Target Interaction Prediction in High-Dimensional Biological Data
  Prediction of drug-target associations plays a crucial role in the process of drug development. However, traditional techniques for determining drug-target associations are labor-intensive, costly, and ineffective. Therefore, the development of effective and a…
  crossref Sonia Lamba, Neetu Sardana 2025-12-31T18:41:12Z 置信度 0.70
• Compute4Biology: Taking Stock of High Performance Computing Needs for Foundation Models in Biological Sciences
  Foundation models are driving a paradigm shift across the life sciences, yet their transformative potential is fundamentally coupled to the capabilities of high-performance computing (HPC). The computational workloads presented by different biology and allied …
  crossref Pratik Dutta, Tirthankar Ghosal 2025-11-07T16:13:44Z 置信度 0.70
• LEVY FLIGHT-ENHANCED SOFT COMPUTING APPROACHES FOR PREDICTING POLLUTION DYNAMICS AND OPTIMIZING BIOLOGICAL REMEDIATION UNDER CLIMATE CHANGE SCENARIOS
  Climate change is intensifying environmental pollution, altering both pollutant distribution and the effectiveness of biological remediation strategies. Predicting pollution trends and designing adaptive remediation approaches are critical for sustainable ecos…
  crossref Suresh K.S. 2025-11-19T05:54:56Z 置信度 0.70
• Emerging Techniques in Bioinformatics
  crossref Shandar Ahmad, Dukka KC, Rudy Raymond 2025-12-30T08:28:40Z 置信度 0.70
• Chiral nanostructure prediction model for chiral characteristic optical materials in biological art
  Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics…
  crossref Xin Dong, Xinyi Wang 2025-12-29T14:00:24Z 置信度 0.70
• Super-resolution reconstruction of lung medical images integrating biological vision mechanisms
  In this paper, a Gabor detail feature-enhanced super-resolution network is constructed concerning the biological vision mechanism to address the problem on loss of texture detail information and contextual information in the process of medical image super-reso…
  crossref Tao Fang, Linling Fang, Hao Pan 2025-10-16T03:43:59Z 置信度 0.70
• Editorial: AI4US Special Issue
  crossref Maria Chiara Fiorentino, Selene Tomassini, Sara Moccia 2025-12-05T05:38:20Z 置信度 0.70
• Labour Provenance as a Lens to Reveal More-Than-Human Ecologies in Biological Design and HCI
  Efforts to integrate living organisms in the design of new technolo- gies are often motivated by prospects of greater sustainability and increased connection with more-than-human worlds. In this paper, we critically discuss these motivations by analysing the v…
  crossref Yuning Chen, Elise Cachat, Larissa Pschetz 2025-04-24T04:45:58Z 置信度 0.70
• A Review of AI Techniques for Predicting and Optimizing Biological Magnification in Terrestrial Ecosystem
  Biological magnification is the process through which pollutants get amplified as they move up the food chain. This poses a significant environmental and health challenge. Traditional approaches to monitoring and controlling pollutants such as physical, chemic…
  crossref Varinder Pabbi, Avinash Bhagat, Rishi Chopra 2025-08-21T18:17:57Z 置信度 0.70
• Towards understanding the functional connectivity patterns in visual brain network
  Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC study is the representation of vision in human brain. The release of publicly avai…
  crossref Debanjali Bhattacharya, Neelam Sinha 2025-06-02T07:30:29Z 置信度 0.70
• Analysis of Fractional-Order Biological Model via A Novel Semi-Analytical Approach
  This study presents a hybrid methodology that combines a novel fractional integral transform with the Fractional Differential Transform Method (FDTM) to solve fractional differential equations (FDEs). The proposed approach exploits the transform’s ability to h…
  crossref Jayaram Prakash K, Saratha S R 2025-06-11T11:39:45Z 置信度 0.70
• Local Interpretable Model Agnostic with Dual Path Network for Abnormality Detection and Classification in Biological Systems
  Detection and classification of abnormalities in biological systems are critical tasks where early identification can significantly enhance intervention strategies and outcomes. Emerging technologies such as Deep Learning (DL) have opened new avenues for more …
  crossref Chandra Babu J, Reddy Madhavi K 2025-07-01T10:48:17Z 置信度 0.70
• Motor imagery-based neural networks for assisting tetraplegic patients
  Nowadays, deep network-based classification algorithms are used in a myriad of applications for brain-computer interfaces (BCIs). These interfaces can enhance the daily lives of quadriplegic patients. Electroencephalography (EEG) based motor imagery (MI) is an…
  crossref Prabhakar Agarwal, Sandeep Kumar, Rishav Singh 2025-08-21T01:18:49Z 置信度 0.70
• Organ-Specific Biomarkers of Aging: An Innovative Framework for Biological Age Assessment
  As population ages, there is an immense need to identify reliable biomarkers that reflect biological age, which is representative of the cumulative burden of physiological decline across all organ systems. The current model for estimating the systemic assessme…
  crossref Pramath Kakodkar, Nooshin Shekari, Jay Kalra 2025-11-08T15:16:08Z 置信度 0.70
• Large-scale parallel computing for biological heterogeneous networks in genetic disease prediction
  Identifying disease-causing genes associated with genetic and rare diseases is crucial for understanding molecular mechanisms and advancing clinical treatments. Traditional experimental methods are time-consuming and labor-intensive. While various computationa…
  crossref Xin Wang 2026-02-24T04:14:26Z 置信度 0.70
• Dynamic Scheduling of Multi-agent Electromechanical Production Line based on Biological Iterative Algorithm
  In order to solve the dynamic job scheduling problem in current intelligent machining systems, the author proposes a multi-agent electromechanical production line dynamic scheduling based on iterative algorithms. The author designed a collaborative control met…
  crossref Yan Zhang, Zipeng Li 2025-04-01T04:39:51Z 置信度 0.70
• Algorithm for Noise Supression in Biological Neuron Signal That Preserves Pulse Amplitude
  Biological neuron signals are characterized by alternating action potentials (or spikes) and resting states. Action potentials are short-termed, high-amplitude peaks that consist of several successive phases, each reflecting specific electrophysiological proce…
  crossref Karina Kurtova, Valeriy Ostrovskiy, Georgiy Kolev, Oleg Bayazitov 等 2025-07-08T13:36:13Z 置信度 0.70
• Towards biomimetic evolution of artificial intervertebral disc: a review
  In lumbar total disc replacement, artificial disc implants are utilized to cure degenerative disc disease and restore natural motion. Human intervertebral discs (IVD) are part of the spine and contribute to delivering six degrees of freedom, elastic deformatio…
  crossref Ashutosh Khanna, Pushpdant Jain, C. P. Paul 2025-05-10T04:45:34Z 置信度 0.70
• MolBioART: Molecular Biological ART for Drug Discovery
  This work presents a hybrid framework combining Adaptive Resonance Theory (ART) clustering with deep neural network–based molecular restoration for efficient, target-specific drug optimization. Drug–protein pairs are first encoded into vector representations a…
  crossref Sourav Singh Sehgal, Rahul Shrivastava, Trasha Bansal, Rohit Bansal 2026-03-26T19:47:30Z 置信度 0.70
• Bridging the Gap Between Biological and Artificial Intelligence: A Review
  The combination of biotechnology and computer science gives a unique chance to develop the concept of intelligence and improve algorithms.This review aims to present the attempts made in this objective in an interdisciplinary manner, based on assembling concep…
  crossref Athar Ahmed 2025-04-18T03:50:58Z 置信度 0.70
• Drug repositioning based on mutual information for the treatment of Alzheimer’s disease patients
  Computational drug repositioning approaches should be investigated for the identification of new treatments for Alzheimer's patients as a huge amount of omics data has been produced during pre-clinical and clinical studies. Here, we investigated a gene network…
  crossref Claudia Cava, Isabella Castiglioni 2025-02-17T21:26:24Z 置信度 0.70
• Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data
  Photoacoustic tomography (PAT) has emerged as a promising imaging modality for breast cancer detection, offering unique advantages in visualizing tissue composition without ionizing radiation. However, limited-view scenarios in clinical settings present signif…
  crossref Mary John, Imad Barhumi 2025-01-24T20:29:29Z 置信度 0.70
• TongueTransUNet: toward effective tongue contour segmentation using well-managed dataset
  In modern telehealth and healthcare information systems medical image analysis is essential to understand the context of the images and its complex structure from large, inconsistent-quality, and distributed datasets. Achieving desired results faces a few chal…
  crossref Khalid Al-hammuri, Fayez Gebali, Awos Kanan 2025-02-18T05:27:35Z 置信度 0.70
• Graph convolution network-based eeg signal analysis: a review
  With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications a…
  crossref Hui Xiong, Yan Yan, Yimei Chen, Jinzhen Liu 2025-01-30T05:28:12Z 置信度 0.70
• MTMedFormer: multi-task vision transformer for medical imaging with federated learning
  Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection, and classification, often surpassing human accuracy. However, the training of effective diagnostic models is hindered by two major challenges: the need for la…
  crossref Anirban Nath, Sneha Shukla, Puneet Gupta 2025-07-08T04:36:47Z 置信度 0.70
• Efficient AI Systems through Neuromorphic Computing: Bridging Biological Intelligence and Machine Learning
  The growing computational requirement of artificial intelligence (AI) mock-ups creates challenges in energy efficacy, scalability, and inactivity. Traditional AI architectures built on von Neumann structures and experience integral restrictions in imitating th…
  crossref Aparna Sharma, Bhavesh Kumar Sharma, Shashi Bhushan, Vishvendra Pal Singh Nagar 等 2026-03-30T20:03:06Z 置信度 0.70
• Gait anomaly detection based on video-derived 3D pose estimation
  With the increase of age, the lower limb strength and function of the elderly gradually decline. Timely detection of motor dysfunction is of great significance for the prevention of disability, disease intervention, and improvement of living quality. Focusing …
  crossref Lingling Chen, Ye Zheng, Zhuo Gong, Ding Wang 2025-03-22T23:16:12Z 置信度 0.70
• Society of Biological Psychiatry’s 2025 Meeting
  crossref Sophia Frangou, Dost Öngür 2025-02-18T23:59:00Z 置信度 0.70
• EXPLORING THE IMPACT OF QUANTUM COMPUTING ON CRYPTOGRAPHIC ALGORITHMS
  Quantum computing represents a transformative shift in computational power, with the potential to revolutionize cryptography. This article examines the implications of quantum computing on current cryptographic algorithms, focusing on the vulnerabilities intro…
  crossref Faisal Nadeem, Hira Waseem 2026-04-25T04:03:02Z 置信度 0.70
• EXPLORING THE IMPACT OF QUANTUM COMPUTING ON CRYPTOGRAPHIC ALGORITHMS
  The emergence of quantum computing poses significant challenges and opportunities in the realm of cryptography. Traditional cryptographic algorithms, such as RSA and ECC (Elliptic Curve Cryptography), rely on the computational difficulty of certain mathematica…
  crossref Noman Shakeel, Farah Batool 2026-03-10T01:24:06Z 置信度 0.70
• IS 2025 - Legends of Computing and Informatics
  crossref 2025-11-04T11:42:06Z 置信度 0.70
• Artificial intelligence in antibody design and development: harnessing the power of computational approaches
  Antibodies are a key therapeutic class in pharma, enabling precise targeting of disease agents. Traditional methods for their design are slow, costly, and limited. Advances in high-throughput data and artificial intelligence (AI) including machine learning, de…
  crossref Soudabeh Kavousipour, Mahdi Barazesh, Shiva Mohammadi 2025-09-01T02:59:26Z 置信度 0.70
• Improved deep canonical correlation fusion approach for detection of early mild cognitive impairment
  Detection of early mild cognitive impairment (EMCI) is clinically challenging as it involves subtle alterations in multiple brain sub-anatomic regions. Among different brain regions, the corpus callosum and lateral ventricles are primarily affected due to EMCI…
  crossref Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan 2025-01-14T08:41:59Z 置信度 0.70
• Impact of backpack load during walking: an EMG and biomechanical analysis
  Abstract This study aims to understand the impact of backpack carriage, a regular activity for many, on back muscles and joint mobility during walking so that clinicians can develop strategies or products to ensure individuals’ safety and well-being. Surface e…
  crossref Fırat Matur, Fatma Alnamroush, Bora Büyüksaraç 2025-01-11T05:27:25Z 置信度 0.70
• SAMP-Net: a medical image segmentation network with split attention and multi-layer perceptron
  Convolutional neural networks (CNNs) have achieved remarkable success in computer vision, particularly in medical image segmentation. U-Net, a prominent architecture, marked a major breakthrough and remains widely used in practice. However, its uniform downsam…
  crossref Xiaoxuan Ma, Sihan Shan, Dong Sui 2025-03-10T23:11:23Z 置信度 0.70
• Biomechanical evaluation of the effects of thread parameters on dental implant stability: a systematic review
  The threads of dental implants are critical components that transfer occlusal loads to the surrounding bone. The appropriate size of thread parameters can influence the stability of the implant after implantation. Despite several research studies on the effect…
  crossref Masoud Arabbeiki, Mohammad Reza Niroomand 2025-05-06T05:04:27Z 置信度 0.70
• Nonlinear and Chaos Biological Markers from Alzheimer’s Disease and Dementia
  Electroencephalography (EEG) is an important tool used to support the diagnosis and follow-up of neurological conditions, including epilepsy, sleep disorders, and neurodegenerative diseases such as Alzheimer’s disease (AD) and frontotemporal dementia (FTD). Th…
  crossref João Alfredo S. Meireles, Carlos Alberto Stefano Filho, Gabriela Castellano, Renato Machado 等 2026-01-30T21:00:10Z 置信度 0.70
• Physical Reservoir Computing with Micropatterned Biological Neural Networks on High Density Microelectrode Arrays
  crossref Yusei Nishi, Hideaki Yamamoto, Ayumi Hirano-Iwata, Yuichi Katori 等 2026-08-04T19:09:35Z 置信度 0.70
• Stability analysis of biological rhythms using three-dimensional systems of difference equations with squared terms
  crossref Hashem Althagafi, Ahmed Ghezal 2025-01-08T11:50:50Z 置信度 0.70
• Adaptive ensemble loss and multi-scale attention in breast ultrasound segmentation with UMA-Net
  The generalization of deep learning (DL) models is critical for accurate lesion segmentation in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well due to the high frequency and scale variations inherent in BUS images. Moreo…
  crossref Mohsin Furkh Dar, Avatharam Ganivada 2025-01-23T10:23:54Z 置信度 0.70
• Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset
  This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, includ…
  crossref Rajendra Kumar Pandey, Yogesh Kumar Rathore 2025-01-04T03:06:58Z 置信度 0.70
• Comprehensive comparison of different BITA graft configurations: a computational study integrating TTFM and hemodynamic predictors
  Bilateral internal thoracic artery (BITA) grafting utilizes both the left (LITA) and right (RITA) internal thoracic arteries simultaneously and is recommended in the literature. However, the optimal configuration for BITA grafting remains uncertain. In this st…
  crossref Ahmad Masoudi, Hossein Ali Pakravan 2025-03-04T21:51:43Z 置信度 0.70
• Hybrid segmentation model and CAViaR -based Xception Maxout network for brain tumor detection using MRI images
  Brain tumor (BT) is a rapid growth of brain cells. If the BT is not identified and treated in the first stage, it could cause death. Despite several methods and efforts being developed for segmenting and identifying BT, the detection of BT is complicated due t…
  crossref Satha Swapna, Yugandhar Garapati 2025-06-27T04:30:05Z 置信度 0.70
• HADCN: a hierarchical ascending densely connected network for enhanced medical image segmentation
  Medical image segmentation is a key component in computer-aided diagnostic technology. In the past few years, the U-shaped architecture-based hierarchical model has become the mainstream approach, which however often fails to provide accurate results due to th…
  crossref Dibin Zhou, Mingxuan Zhao, Wenhao Liu, Xirui Gu 2025-03-14T08:05:57Z 置信度 0.70
• Multi-target Vital Sign Detection by Fusion of Biological Radar and Convolutional Neural Network
  In order to address the increasing demand for vital sign detection, the author proposes a multi-target vital sign detection research that combines biological radar and convolutional neural network. Based on the fundamental architecture of convolutional neural …
  crossref Hongbin Yuan, Chenyao Yuan, Huiqun Cao 2025-04-01T04:39:51Z 置信度 0.70
• Erratum
  Erratum to: “Maternal Fiber Intake During Pregnancy and Development of Attention-Deficit/Hyperactivity Disorder Symptoms Across Childhood: The Norwegian Mother, Father, and Child Cohort Study,” by Solberg et al. (Biol Psychiatry 2024; 95:839–848); https://doi.…
  crossref 2025-09-13T04:34:57Z 置信度 0.70
• Editorial Board
  crossref 2025-07-30T06:10:26Z 置信度 0.70
• Editorial Board
  crossref 2025-05-15T10:17:26Z 置信度 0.70
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  crossref 2025-01-23T03:38:30Z 置信度 0.70
• Editorial Board
  crossref 2024-12-12T01:18:56Z 置信度 0.70
• Editorial Board
  crossref 2025-06-06T02:11:59Z 置信度 0.70
• Editorial Board
  crossref 2025-09-16T12:24:22Z 置信度 0.70
• Erratum
  The authors have recognized errors in the reporting of participant numbers for the tic disorder diagnostic subgroups, affected by incorrect numbers pulled for the iPSYCH sample.This includes 4 subgroup values in the main Methods section and 5 subgroup values i…
  crossref 2025-03-12T05:08:31Z 置信度 0.70
• Editorial Board
  crossref 2025-12-12T16:27:11Z 置信度 0.70
• Editorial Board
  crossref 2025-03-04T04:12:03Z 置信度 0.70
• Erratum
  crossref 2025-07-30T19:21:51Z 置信度 0.70
• Editorial Board
  crossref 2025-10-09T10:41:51Z 置信度 0.70
• Editorial Board
  crossref 2025-04-10T12:12:37Z 置信度 0.70
• Editorial Board
  crossref 2025-02-03T20:33:44Z 置信度 0.70
• Editorial Board
  crossref 2025-04-04T08:36:54Z 置信度 0.70
• Editorial Board
  crossref 2025-11-08T01:57:13Z 置信度 0.70
• Editorial Board
  crossref 2025-04-21T16:09:23Z 置信度 0.70
• Editorial Board
  crossref 2025-10-30T23:42:06Z 置信度 0.70