A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.
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Slippage boosted spectral cleaning in a seeded free - electron laser
22 Pith papers cite this work, alongside 13 external citations. Polarity classification is still indexing.
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cs.LG 4 cond-mat.mtrl-sci 3 cs.AI 2 eess.IV 2 q-bio.NC 2 cs.CL 1 cs.CY 1 cs.HC 1 cs.NI 1 econ.GN 1roles
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Blending dipolar molecules into an organic semiconductor enables efficient bipolar charge injection from air-stable electrodes in single-layer devices through voltage-driven dipole reorientation.
QCPIKAN is a quantum-classical physics-informed KAN that claims exponential high-frequency error convergence and superior accuracy over prior QCPINNs on single-phase, transport, and two-phase seepage PDEs.
Immiscible PdIr nanoparticles show atomic-scale interdiffusion via surface atom hopping at 200°C, flattening at 300°C, interfacial Ir diffusion at 400°C, and collective mixing at 900°C, observed with 4D electron tomography.
Semantic mapping of 8,954 definitions and 2,700 scales from 14,000+ papers shows learner agency and autonomy span task regulation, personal motivation, and sociocultural dimensions, with existing scales and generative AI research underrepresenting the sociocultural dimension.
In a blinded study, an LLM-based agent generated higher-rated responses than clinicians for explaining CGM data in diabetes counseling, with similar safety flags.
The CPA-PA metric approximates ground-truth neural activity via CCA alignment and participant averaging, yielding 300-1000% better single-participant evaluations than conventional scores on synthetic and real MEEG data.
SAMRI fine-tunes only the mask decoder of SAM on 1.1 million MRI slices from 30 datasets to reach mean DSC 0.87 on 47 targets and strong zero-shot performance.
Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
Survey of Jordanian nurses finds green transformational leadership and ethical climate boost sustainable behaviors via green psychological climate, weakened by perceived organizational hypocrisy, explaining 35.7% variance.
Radiogenomic models using MRI features from multiple public datasets predicted the M0 macrophage immune signature in IDH-wildtype glioblastoma with mean balanced accuracy 0.67 and precision 0.89 on held-out cohorts.
Defect-engineered BeN2 monolayers with alkali-metal decoration store up to 11.64 wt% H2 with reversible adsorption energies of -0.17 to -0.19 eV.
Spared lower-limb EMG after SCI was decoded to drive closed-loop FES, yielding 33-40% gains in foot flexion range and proportional control up to six stimulation levels in a small cohort.
BHB treatment restores autophagy, mitochondrial turnover, and vesicle morphology in C99-expressing Drosophila neurons via a VPS35-dependent mechanism.
FCNN maps tabular features to fuzzy memberships, arranges them as images, and uses CNNs to classify, reporting competitive or superior results versus DT, SVM, FNN, Bayes, and RF on six generated noisy datasets.
IViT applies quadratic programming to a pre-trained Vision Transformer with a multi-objective loss, achieving 93.80% accuracy on six skin disease datasets (0.21% below baseline) while reducing feature redundancy by 29.5% and producing clinically consistent activations.
A heterogeneous graph attention Q-network is introduced for AISC deployment that reduces completion time while improving load balance and energy use in dynamic UMEC networks.
Develops a conceptual distinction between human-cognitive and artificial-stochastic error architectures in code generation, drawing on Dennett, Rescher, and Floridi to explore implications for AI-human collaboration.
Non-steady-state chemical charge transport dynamics integrated into reservoir computing enable waveform recognition, voice identification, and chaos prediction, with performance governed by frequency alignment that functions as a chemically-tuned band-pass filter.
IA-QCNN applies quantum principles via ring-topology convolution and importance weighting to achieve claimed high-accuracy MGMT methylation prediction from MRI with fewer parameters and noise robustness than classical models.
Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.
Pre-bunched beams in THz FELs produce stronger harmonics than Gaussian or other profiles, with planar undulators showing more side lobes than helical ones.
citing papers explorer
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A Beamforming Microwave Interferometric Radiometer for High-resolution Passive Imaging: Concept, Modeling, and Preliminary Demonstration
A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.
-
In-operando dipole orientation for bipolar injection from air-stable electrodes into organic semiconductors
Blending dipolar molecules into an organic semiconductor enables efficient bipolar charge injection from air-stable electrodes in single-layer devices through voltage-driven dipole reorientation.
-
Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs
QCPIKAN is a quantum-classical physics-informed KAN that claims exponential high-frequency error convergence and superior accuracy over prior QCPINNs on single-phase, transport, and two-phase seepage PDEs.
-
Tracking atomic-scale interdiffusion in immiscible bimetallic nanoparticles via four-dimensional electron tomography
Immiscible PdIr nanoparticles show atomic-scale interdiffusion via surface atom hopping at 200°C, flattening at 300°C, interfacial Ir diffusion at 400°C, and collective mixing at 900°C, observed with 4D electron tomography.
-
Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook
Semantic mapping of 8,954 definitions and 2,700 scales from 14,000+ papers shows learner agency and autonomy span task regulation, personal motivation, and sociocultural dimensions, with existing scales and generative AI research underrepresenting the sociocultural dimension.
-
Blinded Multi-Rater Comparative Evaluation of a Large Language Model and Clinician-Authored Responses in CGM-Informed Diabetes Counseling
In a blinded study, an LLM-based agent generated higher-rated responses than clinicians for explaining CGM data in diabetes counseling, with similar safety flags.
-
Robust Evaluation of Neural Encoding Models via ground-truth approximation
The CPA-PA metric approximates ground-truth neural activity via CCA alignment and participant averaging, yielding 300-1000% better single-participant evaluations than conventional scores on synthetic and real MEEG data.
-
SAMRI: Segment Any MRI
SAMRI fine-tunes only the mask decoder of SAM on 1.1 million MRI slices from 30 datasets to reach mean DSC 0.87 on 47 targets and strong zero-shot performance.
-
Visual Analysis of Multi-outcome Causal Graphs
Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
-
Green Transformational Leadership and Sustainable Nursing Practices: Evidence from the Healthcare Sector
Survey of Jordanian nurses finds green transformational leadership and ethical climate boost sustainable behaviors via green psychological climate, weakened by perceived organizational hypocrisy, explaining 35.7% variance.
-
Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study
Radiogenomic models using MRI features from multiple public datasets predicted the M0 macrophage immune signature in IDH-wildtype glioblastoma with mean balanced accuracy 0.67 and precision 0.89 on held-out cohorts.
-
Defect-Engineered Beryllium Dinitride (BeN2) Monolayer with Light-Metal Decoration for Reversible High-Capacity Hydrogen Storage
Defect-engineered BeN2 monolayers with alkali-metal decoration store up to 11.64 wt% H2 with reversible adsorption energies of -0.17 to -0.19 eV.
-
Closed-loop Neuroprosthetic Control through Spared Neural Activity Enables Proportional Foot Movements after Spinal Cord Injury
Spared lower-limb EMG after SCI was decoded to drive closed-loop FES, yielding 33-40% gains in foot flexion range and proportional control up to six stimulation levels in a small cohort.
-
beta Hydroxybutyrate remodels the C99 interactome and coincides with restored organelle homeostasis in a Drosophila Alzheimers model
BHB treatment restores autophagy, mitochondrial turnover, and vesicle morphology in C99-expressing Drosophila neurons via a VPS35-dependent mechanism.
-
Fuzzy Convolution Neural Networks for Tabular Data Classification
FCNN maps tabular features to fuzzy memberships, arranges them as images, and uses CNNs to classify, reporting competitive or superior results versus DT, SVM, FNN, Bayes, and RF on six generated noisy datasets.
-
IViT: A Novel Interpretable Visual Transformer for Skin Disease Detection
IViT applies quadratic programming to a pre-trained Vision Transformer with a multi-objective loss, achieving 93.80% accuracy on six skin disease datasets (0.21% below baseline) while reducing feature redundancy by 29.5% and producing clinically consistent activations.
-
AISC deployment in dynamic UAV-assisted MEC network: a reinforcement learning method based on heterogeneous graph attention neural network
A heterogeneous graph attention Q-network is introduced for AISC deployment that reduces completion time while improving load balance and energy use in dynamic UMEC networks.
-
Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
Develops a conceptual distinction between human-cognitive and artificial-stochastic error architectures in code generation, drawing on Dennett, Rescher, and Floridi to explore implications for AI-human collaboration.
-
Exploring Non-Steady-State Charge Transport Dynamics in Information Processing: Insights from Reservoir Computing
Non-steady-state chemical charge transport dynamics integrated into reservoir computing enable waveform recognition, voice identification, and chaos prediction, with performance governed by frequency alignment that functions as a chemically-tuned band-pass filter.
-
A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma
IA-QCNN applies quantum principles via ring-topology convolution and importance weighting to achieve claimed high-accuracy MGMT methylation prediction from MRI with fewer parameters and noise robustness than classical models.
-
LLM Harms: A Taxonomy and Discussion
Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.
-
Enhanced Harmonic Generation in Terahertz FELs: Influence of Pre-Bunching and Undulator Geometry on Spectral and Angular Emission
Pre-bunched beams in THz FELs produce stronger harmonics than Gaussian or other profiles, with planar undulators showing more side lobes than helical ones.