Table 8_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

“…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”

Table 14_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

“…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”

Raw data DOI 10.3389fphar.2024.1483686.zip by Changlin Wang (19822068)

“…In terms of mechanism, JJJG significantly increased the levels of FT3 and FT4 and decreased TSH level in serum (P<0.05). …”

Impact of acute binge-like ethanol exposure during the third-trimester equivalent on subicular interneurons in mice by Katalina M. Lopez (21821714)

“…Ethanol exposure decreased instantaneous frequency evoked by 250–400 pA current injection in fast-spiking GABAergic interneurons only in female mice (250: <i>p</i> = .019, g = −1.08; 300–450: <i>p</i> = .038, g = −1.06 to- 1.18) but did not significantly affect spontaneous inhibitory postsynaptic currents (sIPSCs) evoked by interneuronal GABA release onto pyramidal neurons.…”

AI-Driven Neuroprosthetic: Brain-Controlled Prosthetic Arm with Sensory Feedback and Hybrid Brain-Computer Interface by Mahdi Yazdanpour (21001295)

“…<p dir="ltr">Limb loss significantly impacts the quality of life for over 2.3 million Americans and nearly 58 million people worldwide, often resulting in reduced mobility, decreased independence, and psychological challenges. …”

Data Sheet 1_Determination of nine prostaglandins in the arachidonic acid metabolic pathway with UHPLC-QQQ-MS/MS and application to in vitro and in vivo inflammation models.docx by Yufeng Huang (782683)

“…At the same time, the levels of these PGs decreased significantly (p < 0.01 vs. LPS-induced group) after the positive drug (dexamethasone) intervention. …”

Table 1_Guiren Runchang granules alleviate slow transit constipation in mice by modulating gut microbiota and short-chain fatty acids.docx by Xinfeng Bai (5049932)

“…Specifically, the relative abundance of the genera Alloprevotella and Muribaculum increased, while that of Prevotellaceae_NK3B31_group, Ruminococcus, and Lachnospiraceae_UCG-001 decreased. These microbiota changes were significantly correlated with SCFAs level, motility-related hormone concentrations, and defecation phenotype. …”

Table 1_Co-frequency or contrary? The effects of Qiwei Baizhu Powder and its bioactive compounds on mucosa-associated microbiota of mice with antibiotic-associated diarrhea.docx by Zeli Zhang (3422570)

“…Furthermore, both QWBZP decoction and QWBZP-TG decreased the levels of DAO, D-Lactate, sIgA, IL-6, and TNF-α in the AAD mice. …”

Source data.zip by Xiaoyan Pan (21158717)

“…In vivo, melatonin significantly increased MT1R (melatonin receptor 1A) expression in BPA-treated mouse testicular cells and the content of catalase, superoxide dismutase 2, and glutathione, while decreasing the level of malondialdehyde. …”

Data Sheet 1_Machine learning assisted breathomic approach for early-stage thoracic cancer detection.docx by Zhenguang Chen (518931)

“…Additionally, in a cohort of 58 cancer patients, model-predicted risk significantly decreased post-surgery (p < 0.01), indicating a strong correlation with disease burden reduction.…”

Boron-doped diamond MOSFETs operating at temperatures up to 400°C by Jiangwei Liu (2524750)

“…Conversely, the on-resistance decreases significantly from 1469.8 kΩ mm to 16.5 kΩ mm. …”

C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n-BWG model structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

data.zip by Zhizhang Dong (21158474)

“…Compared with the control group, the thickness of retina in the experimental group was significantly reduced (t=5, P=0.0075), the number of retinal pigment epithelium was statistically decreased (t=4.243, P=0.0132), and the pyrolytic related proteins NLRP3, Caspase-1, GSDMD, IL-1β and IL-18 were strongly red positive in retinal pigment epithelium (P<0.05). …”

BiFormer structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n-BWG detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

GSConv module structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

DC parameters. by Kai Wen (261662)

“…The results show that the system can effectively recover waste heat from the DC, significantly reducing cooling electricity consumption during the heating season and decreasing original heating steam consumption by about 25%. …”

Performance comparison of three loss functions. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”