Neurodevelopmental H2AK119ub enrichment within H3K4me3-positive promoters subdues transcription. by Aditya Parmar (22331873)

“…<p><b>(A)</b> Violin plots showing length-scaled abundance of H2AK119ub within H3K4me3 peak regions, P-values and D statistics by Kolmogorov-Smirnov D test (n = 4). …”

Image 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 4_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 6_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Image 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 5_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

pH sensitive lipid polymeric hybrid nanoparticle (LPHNP) of paclitaxel and curcumin for targeted delivery in breast cancer by Hrishikesh Sarma (14827761)

“…</p> <p>LPHNPs co-loaded with curcumin (CUR) and paclitaxel (PTX) were successfully formulated, achieving a size of 146 nm, a PDI of 0.18, and an entrapment efficiency exceeding 90%. <i>In vitro</i> release studies demonstrated controlled release of CUR and PTX under tumor pH conditions showing 1.6 fold and 1.7 fold higher release in ABS pH 5 in comparison to PBS 7.4 for PTX and CUR respectively. …”

Insight into Greenhouse Gas Emission Characteristics of Light-Duty Vehicles in China Driven by Technological Innovation by Xinping Yang (17371783)

Dataset of "Ongoing collapse of avifauna in temperate oceanic islands close to the mainland in the Anthropocene" by Daichi Iijima (16890654)

“…</p><p dir="ltr"><b>Abstract</b></p><p dir="ltr">1. Oceanic island ecosystems are highly vulnerable to human activities. …”

Image 4_Unraveling impact and potential mechanisms of baseline pain on efficacy of immunotherapy in lung cancer patients: a retrospective and bioinformatic analysis.jpg by Zexin Zhang (7507979)

“…A nomogram was constructed based on 6 independent prognostic factors with AUC values of 0.80 for 1-year, 0.73 for 2-year, and 0.80 for 3-year survival. …”

Image 2_Unraveling impact and potential mechanisms of baseline pain on efficacy of immunotherapy in lung cancer patients: a retrospective and bioinformatic analysis.jpg by Zexin Zhang (7507979)

“…A nomogram was constructed based on 6 independent prognostic factors with AUC values of 0.80 for 1-year, 0.73 for 2-year, and 0.80 for 3-year survival. …”

Image 3_Unraveling impact and potential mechanisms of baseline pain on efficacy of immunotherapy in lung cancer patients: a retrospective and bioinformatic analysis.jpg by Zexin Zhang (7507979)

“…A nomogram was constructed based on 6 independent prognostic factors with AUC values of 0.80 for 1-year, 0.73 for 2-year, and 0.80 for 3-year survival. …”

Negative Activation Volume in Hydrated BaZr_0.8Y_0.2O_3−δ Proton Conductor at Room Temperature (Supporting Information) by Fumitada IGUCHI (20594488)

“…The bulk resistance of the material decreases as the pressure increases, with a decrement ratio from −0.6 to −2.3 % per 60 MPa variation in pressure. …”

Data Sheet 2_Improved early postoperative cognition in elderly gastrointestinal patients: a randomized controlled trial on the role of ultrasound-guided stellate ganglion block.doc by Ruyue Xue (20703842)

“…Both groups showed significant changes in IL-6, SOD and MDA levels, when compared to preoperative values. The hemodynamic indicators showed a slight reduction in intraoperative blood pressure and decreased numerical rating scale scores on the first postoperative day without significant differences in other indicators.…”

Propagation prediction of asymmetrically originated fractures by use of displacement discontinuity method by Qingquan Li (747754)

Crustivorous macro-arthropods regulate the microtopography and carbon dynamics of biological soil crusts by Nevo Sagi (16730772)

“…How consumption by macro-arthropods affects biocrust surface roughness and carbon cycling remains largely unknown. In two separate experiments, we addressed this knowledge gap by exposing biocrusts to varying levels of desert isopod crustivory (i.e. grazing intensity), and quantifying the consequences for microtopography, CO₂ efflux and carbon fixation. …”

Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

“…This study employs ultra-high-speed imaging (as high as 100,000 frames per second) to investigate particle formation under different liquid metal surface tension values influenced by the applied negative, zero, and positive voltages. …”

Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

“…This study employs ultra-high-speed imaging (as high as 100,000 frames per second) to investigate particle formation under different liquid metal surface tension values influenced by the applied negative, zero, and positive voltages. …”