DR-NTU (Data) (Nanyang Technological University)
DR-NTU (Data) (Nanyang Technological University)Not a member yet
1955 research outputs found
Sort by
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
No full textMultivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements in large language models (LLMs), recent studies employ textual prompt tuning to infuse the knowledge of LLMs into MTSF. However, the deployment of LLMs often suffers from low efficiency during the inference phase. To address this problem, we introduce TimeKD, an efficient MTSF framework that leverages the calibrated language models and privileged knowledge distillation. TimeKD aims to generate high-quality future representations from the proposed cross-modality teacher model and cultivate an effective student model. The cross-modality teacher model adopts calibrated language models (CLMs) with ground truth prompts, motivated by the paradigm of Learning Under Privileged Information (LUPI). In addition, we design a subtractive cross attention (SCA) mechanism to refine these representations. To cultivate an effective student model, we propose an innovative privileged knowledge distillation (PKD) mechanism including correlation and feature distillation. PKD enables the student to replicate the teacher's behavior while minimizing their output discrepancy. Extensive experiments on real data offer insight into the effectiveness, efficiency, and scalability of the proposed TimeKD
Lead-free Metal Halide Double Perovskite-Photoelectrocatalyzed Activation of C(sp3)-H Bonds and Alkylation of Alkenes and Azo Compounds
No full textPhotoelectrocatalysis offers a powerful method for driving organic transformations by combining light and electrical energy to access more extreme potentials to generate reactive intermediates under milder conditions. Herein, we report the first application of a metal halide perovskite photoelectrocatalytic system for C(sp³)-H activation leading to C-C and C-N bond formation via alkylation. A lead-free, alloyed double perovskite, Cs₂Ag₀.₉₅Na₀.₀₅BiBr₆, was engineered as a relatively stable photoanode and used catalytically (0.5-1 mol%) under visible-light irradiation and ambient conditions with 9,10-diphenylanthracene as a co-catalyst to facilitate cross-coupling organic syntheses. Extensive characterization of the photoanode by electrochemical analyses, powder X-ray diffraction, ultraviolet photoelectron spectroscopy, and scanning electron microscopy confirmed the structural integrity and photoelectrocatalytic activity of the Cs₂Ag₀.₉₅Na₀.₀₅BiBr₆ anode. Under optimal conditions, aliphatic substrates underwent C–H activation and coupling with electron-deficient SOMOphiles to afford C-C coupled products in up to 94% yield and C-N coupled products in up to 99% yield. Mechanistic studies including isotope labeling, kinetic isotope effect competition experiments, and density functional theory calculations reveal that the reaction proceeds via photogenerated ●Br radicals that induce hydrogen atom transfer from the solvent molecules to generate nucleophilic alkyl radicals. These nucleophilic alkyl radicals then underwent polarity-matched addition to electron-deficient alkenes or azo compounds to form the desired products, with C-H activation of the substrate identified as the rate-determining step. This work demonstrates C-H functionalization and cross-coupling reactions under remarkably mild, ambient conditions and establishes a new frontier for the application of metal halide perovskites in the photoelectrocatalytic activation and tandem transformation of small organic molecules
NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies
No full textThis paper tackles the challenges of physics-based simulation of rigid bodies
in neural rendering, focusing on 3D model representation and collision
handling. A synthetic and real-world dataset is also included in the paper
Replication Data for: The role of alkali doping in enhancing bulk and interface properties of Cu2CdSnS4 solar cells
No full textReplication Data for: The role of alkali doping in enhancing bulk and interface properties of Cu2CdSnS4 solar cell
Raw EEG for: Adult-infant neural coupling mediates infants’ selection of socially-relevant stimuli for learning across cultures
No full textSummary: Contains raw EEG data for both adult and infant participants collected during the experimental paradigm. Detailed EEG acquisition parameters and preprocessing procedures are described in the paper's method section and supplementary materials.
Related code repository: https://github.com/Baby-Linc-Singapore/BABBLE_CODE/
Detailed file descriptions:
Singapore EEG data (compressed archive) - Raw EEG recordings from the Singapore site with file naming convention P_BB1_B1toB3, where P represents participant ID, BB1 indicates the experimental session, and B1toB3 denotes blocks 1 through 3. Each file contains time × 35 channels EEG data capturing neural responses across all experimental blocks.
UK EEG data (compressed archive) - Raw EEG recordings from the UK site with file naming convention ID_block, where ID represents participant identifier and block indicates the experimental block number. Each file contains identical time × 35 channels EEG data structure, enabling direct comparison with Singapore data for cross-site validation and analysis.
Both datasets maintain consistent 35-channel EEG acquisition setup across sites, with detailed technical specifications, electrode configurations, and data collection protocols outlined in the manuscript's methodology section and supplementary materials
Replication Data for: Non-reciprocal terahertz topological sensor on a silicon chip
No full textOn-chip non-reciprocal light-matter interaction improves sensor performance by leveraging direction-dependent differences in detection signals. Here, the experimental realization of a non-reciprocal terahertz topological sensor (NTTS) is reported through magneto-optical integration on a silicon valley photonic cavity chip, enabling dual-frequency non-reciprocal sensing. Through sensing the ultrathin polyimide membranes of varying thicknesses, non-reciprocal group delay sensitivities of 0.46 and 0.24 ns µm−1 are demonstrated for the detuned clockwise and counterclockwise cavity modes, respectively. NTTS also provides non-reciprocal sensitivity in the position sensing experiment, yielding group delay sensitivities of 2.63 and 3.21 ns mm−1. This non-reciprocal topological sensor enables a new sensing paradigm and can be integrated into compact topological photonic circuits for on-chip gyroscope, biochemical sensors, and environmental monitors
Related Data for: Spatiotemporal Trends of Compound Weather and Climate Extremes and Their Impacts in Southeast Asia from 1983 to 2022
No full textThis dataset contains the identified compound extreme days across Southeast Asia (10S-30N, 90-130E) for the period 1983-2022. It includes concurrent precipitation and wind extremes (CPWEs), concurrent dry spell and heat extremes (DSHEs), and humid heatwave extremes (HHWEs). These events were identified using three reanalysis datasets (ERA5, JRA-55, and MERRA-2) and a combination of fixed-value and percentile-based thresholds (see README.txt for details). All files are in NetCDF (Network Common Data Form) format
Replication Data for: On-chip topological edge state cavities
No full textThis dataset contains all the data used in the paper, titled 'On-chip topological edge state cavities'
Replication Data for: Observation of wave amplification and temporal topological state in a non-synthetic photonic time crystal
No full textThis repository contains the data and code used for the analyses presented in the manuscript: "Observation of wave amplification and temporal topological state in a non-synthetic photonic time crystal.
Replication Data for: Inline Quantum Measurements with SNSPDs Coupled to Photonic Bound States
No full textData for the paper "Inline Quantum Measurements with SNSPDs Coupled to Photonic Bound States