The proposed method work-flow. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

Regioisomeric Engineering for Multicharge and Spin Stabilization in Two-Electron Organic Catholytes by H. T. Katie Chung (20496481)

“…Current approaches are limited to the incorporation of electronic substituents to increase or decrease the overall electron density or bulky substituents to sterically shield reactive sites. …”

Data_Sheet_1_The total joint arthroplasty care patterns in China during the COVID-19 pandemic: a multicenter cohort study.PDF by Tianyi Zhang (87298)

“…</p>Conclusions<p>The COVID-19 pandemic was associated with more severe preoperative conditions and decreased volume, costs, and readmission rates in patients undergoing TJA in China. …”

Supplementary file 1_Biological effects of cinnamaldehyde in animal cancer models: a systematic review and meta-analysis.docx by Dan Luo (192943)

“…Background<p>Cinnamaldehyde (CA), a naturally occurring aromatic aldehyde from cinnamon bark, has been investigated for its biological activity in laboratory settings. …”

Table 1_Biological effects of cinnamaldehyde in animal cancer models: a systematic review and meta-analysis.docx by Dan Luo (192943)

“…Background<p>Cinnamaldehyde (CA), a naturally occurring aromatic aldehyde from cinnamon bark, has been investigated for its biological activity in laboratory settings. …”

Supplementary Material for: Global, Regional, and National Burden of Neonatal Encephalopathy Due to Birth Asphyxia and Trauma, Its Attributable Risk Factors, 1990-2021: Results fro... by figshare admin karger (2628495)

“…Low SDI regions experienced a substantial 112.9% increase in NEBAT cases, while high-middle SDI regions witnessed a significant 34.8% decrease. Although mortality rates declined across all SDI regions, the low SDI region had the smallest decline. …”

Table1_Mechanism of abscisic acid in promoting softening of postharvest ‘Docteur Jules Guyot’ pear (Pyrus communis L.).docx by Xiaofei Xu (109890)

“…The contents of water-soluble pectin (WSP) and ionic-soluble pectin (ISP) increased, and covalent binding pectin (CBP) decreased under ABA treatment. Among the detected volatile aromatic substances, the highest-level substance of the fruit was ester, and the ABA treatment significantly promoted the amount of ester substances. …”

Table2_Mechanism of abscisic acid in promoting softening of postharvest ‘Docteur Jules Guyot’ pear (Pyrus communis L.).xlsx by Xiaofei Xu (109890)

“…The contents of water-soluble pectin (WSP) and ionic-soluble pectin (ISP) increased, and covalent binding pectin (CBP) decreased under ABA treatment. Among the detected volatile aromatic substances, the highest-level substance of the fruit was ester, and the ABA treatment significantly promoted the amount of ester substances. …”

Effects of Ni²⁺ on mitochondrial (A), glycolytic (B), and total (C) ATP production rates in BMDM. by Jesse Corbin (21736578)

“…A double dagger (‡) indicates a significant decrease of mitochondrial ATP production rates (slope = −0.79 ± 0.21, <i>R</i>^<i>2</i> = 0.40, <i>F</i>(1, 22)=15.0, <i>p </i>< 0.001) from 0 to 72 ppm Ni²⁺. …”

DataSheet1_A lightweight MHDI-DETR model for detecting grape leaf diseases.pdf by Zilong Fu (20392494)

“…Overall, the MHDI-DETR model surpasses the RT-DETR and other mainstream detection models in both detection accuracy and degree of lightness, achieving dual optimization in efficiency and accuracy, and providing an efficient technical solution for automated agricultural disease management.</p>…”

Molecular Composition and Hydrotreatment Effects in Sewage Sludge Pyrolysis Biocrude Revealed by Supercritical Fluid Chromatography-Mass Spectrometry by Josephine S. Lübeck (21176595)

“…At mild conditions (reactor temperatures below 200 °C), fatty acids decreased, while FAA, imidazoles, indoles, quinolines, carbolines, and hydroxylated polycyclic aromatic hydrocarbons remained stable or increased, suggesting intermediate formation or ionization efficiency changes due to matrix effects and ion competition in electrospray ionization. …”

The overall framework of CARAFE. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

Comparison of different pruning rates. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

Result of comparison of different lightweight. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

DyHead Structure. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

The parameters of the training phase. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”

Structure of GSConv network. by Zhongjian Xie (4633099)

“…<div><p>Detecting <i>Trichosanthes Kirilowii</i> Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. However, the environmental characteristics of brightness variation, inter-plant occlusion, and motion-induced blurring during harvesting operations, detection algorithms face excessive parameters and high computational intensity. …”