Determination of cyclic behavior of various cross-section composite column-beam connections reinforced with FRP composite using FEM analysis and ML models by Yasemin Simsek Turker (22340676)

DataSheet1_Fast and precise dose estimation for very high energy electron radiotherapy with graph neural networks.PDF by Lorenzo Arsini (15083796)

<b>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance)</b> by Oleksandr Zhovnirovych (22501424)

Reference set of diverse topological and structural variants of Ig domains from the SCOP b.1 Superfamily. (see supplement file S7 Data, for the corresponding spreadsheet). It inclu... by Caesar Tawfeeq (21087272)

Overall flow chart of the model. by Bei Huang (485021)

Image 5_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

Image 3_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

Image 2_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

Image 4_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

Table 1_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.docx by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

Image 6_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. After data cleaning, 3933 samples were analyzed for age subgroup partitioning of trace elements from 1 month through 18 years. …”

The 10 features captured by persistence fingerprint. by Yuxi Long (11024307)

Construction of internuclear persistence contours (IPCs). by Yuxi Long (11024307)

CBAM module architecture. by Buyu Wang (17889178)

Table 1_WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq.xlsx by Yi-Ran Wang (5938265)

“…We introduce WCSGNet, a graph neural network-based algorithm for automatic cell-type annotation that leverages Weighted Cell-Specific Networks (WCSNs). …”

Image 1_WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq.tif by Yi-Ran Wang (5938265)

“…We introduce WCSGNet, a graph neural network-based algorithm for automatic cell-type annotation that leverages Weighted Cell-Specific Networks (WCSNs). …”

Table 2_WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq.docx by Yi-Ran Wang (5938265)

“…We introduce WCSGNet, a graph neural network-based algorithm for automatic cell-type annotation that leverages Weighted Cell-Specific Networks (WCSNs). …”

Image 6_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 5_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 3_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”