High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

Continuous Viscoelasticity Measurement of Cell Spheroids via Microfluidic Electrical Aspiration by Heyi Chen (19930197)

Subjects:

CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

Subjects:

List of prompts, with clinical note prompts abbreviated. The prompts vary in three aspects: prompt format, clinical scenario (indicated by subgroup number), and the mention of an L... by Crystal T. Chang (22208956)

Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx by Bailey A. Loving (20573882)

“…</p>Methods<p>This retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. …”

Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

Subjects:

CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

Subjects:

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Data Sheet 1_Nicorandil reduces the antimicrobial effectiveness of polymyxin E against Klebsiella pneumoniae by decreasing reactive oxygen species accumulation.pdf by Rongqing Zhu (22261801)

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”

Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Primers used for RT-PCR. by Quankuan Gu (20539301)

“…</p><p>Results</p><p>BLM caused a large decrease in body weight in mice. However, the intraperitoneal injection of SS-31 slowed down the body weight loss in the mice. …”

CNN framework. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”

CNN frameworks. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”