Efficient Indexing of large-scale linked interval data improves long-read transcript discovery (The 19th Annual Lewis Landsberg Research Day) by Richard A. Schäfer (19165600)

Spike cluster splitting based on amplitude and interelectrode interval distribution. by Tjitse van der Molen (20391106)

Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks by Diana Murray (16859046)

“…Biological insights derived from the subnetworks, including the annotation of proteins of unknown function, are discussed in detail. …”

Real time spike sorting with latencies in the range of synaptic transmission. by Tjitse van der Molen (20391106)

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory by Mahsa Nazemi-Ashani (21876936)

“…The effectiveness of the algorithm is demonstrated through its application to the HFCO and uracil molecules. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …”

Causal Relationship between Potential Shift and Molecular Structure in Concentrated Electrolytes by Yumika Yokoyama (18422218)

“…In this study, we revisit this issue from the perspective of causal discovery. We applied the Linear Non-Gaussian Acyclic Model (LiNGAM) to a data set of 75 electrolyte solutions containing LiFSI salt and various solvent molecules, using a comprehensive set of 132 descriptors including molecular properties (e.g., HOMO, LUMO, binding energy) and intermolecular descriptors derived from radial distribution functions (RDF) and their integrals (NDF) from molecular dynamics simulations. …”

RT-Sort parameters. by Tjitse van der Molen (20391106)

“…<div><p>With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials of individual neurons can now be reliably detected on multiple adjacent recording electrodes. …”

Table 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx by Ye Tian (220278)

“…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. The functional role of a key tsRNA, tsRNA-Asp-3-0024, was investigated through Pandora-seq, qRT-PCR, and in vitro and organoid-based assays.…”

Image 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif by Ye Tian (220278)

“…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. The functional role of a key tsRNA, tsRNA-Asp-3-0024, was investigated through Pandora-seq, qRT-PCR, and in vitro and organoid-based assays.…”

Table 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx by Ye Tian (220278)

“…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. The functional role of a key tsRNA, tsRNA-Asp-3-0024, was investigated through Pandora-seq, qRT-PCR, and in vitro and organoid-based assays.…”

Table 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx by Ye Tian (220278)

“…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. The functional role of a key tsRNA, tsRNA-Asp-3-0024, was investigated through Pandora-seq, qRT-PCR, and in vitro and organoid-based assays.…”

Image 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif by Ye Tian (220278)

“…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. The functional role of a key tsRNA, tsRNA-Asp-3-0024, was investigated through Pandora-seq, qRT-PCR, and in vitro and organoid-based assays.…”