Laboratory data. by Biniyam Tedla Mamo (20598461)

“…More than half neonatal sepsis was caused by MDR organisms and associated with significant poor treatment outcomes. high prevalence of MDR-gram-negative bacteremia is alarming and highlights the need for the implementation of routine surveillance and infection control measures to decrease morbidity and mortality and to combat the development of antimicrobial resistance.…”

Supplementary Material for: Conversion Ability of Immunotherapy in Hepatocellular Carcinoma: Insights from the International Converse Study by figshare admin karger (2628495)

“…The primary endpoint was the curative conversion rate, differentiating potential conversion (PC) - when objective response (OR) resulted in a consistent decrease in tumour burden and alpha-fetoprotein levels - from actual conversion (AC), when OR led to curative treatment. …”

Data Sheet 1_Association of the dietary inflammation index with frailty in middle-aged and older adults: a systematic review and meta-analysis.zip by Shu-min Zhu (21639380)

“…Subgroup analyses revealed that DII was significantly and positively associated with the increased risk of frailty in all subgroups of different study geographic areas, types, sample sizes, and dietary assessment tools, whereas the difference between frailty occurrence assessed using the FI debilitation index and DII was not statistically significant in the subgroups of different debilitation assessment tools.…”

Table 1_From challenge to competence: the role of learning engagement in mediating stress and performance among clinical medical students in English-medium dental education.docx by Runheng Liu (5221034)

“…While stress decreased over time in both groups, EMI students maintained consistently high engagement. …”

Table 1_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.docx by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 2_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 6_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 4_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 5_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 3_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 7_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Image 1_Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage.tif by Hyeok-Jin Bak (22051985)

“…Introduction<p>Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. …”

Supplementary file 1_Evaluation of resistance modulation in MDR Pseudomonas aeruginosa and Klebsiella pneumoniae using peppermint oil nanoemulsion: integrating antibacterial assays... by Sardar Ali (9503753)

“…Time-kill assays showed a sustained reduction in bacterial viability over 72 hours, with significant differences emerging after 12 hours of exposure. …”

Table 1_Evaluation of resistance modulation in MDR Pseudomonas aeruginosa and Klebsiella pneumoniae using peppermint oil nanoemulsion: integrating antibacterial assays and molecula... by Sardar Ali (9503753)

“…Time-kill assays showed a sustained reduction in bacterial viability over 72 hours, with significant differences emerging after 12 hours of exposure. …”

MSEW effects on anxiety-like behavior and neural responsiveness. by Jennifer Nguyen (3521903)

“…<p>(A) Exposure to MSEW significantly increased anxiety-like behavior only in female DO mice, as measured by (B) time spent in the arms of the 3DR and (C) latency to enter an arm of the 3DR. …”

Data Analysis by Jozef Salva (21348050)

“…This study investigated the feasibility of using AE signals for real-time monitoring and control of CNC milling processes, focusing on medium-density fibreboard (MDF) as the workpiece material. …”

Raw Olink File by Rajkumar Savai (21358895)

“…This cluster showed less activation of immune-related pathways and a significantly shorter time to disease recurrence, suggesting a more aggressive clinical course and poorer prognosis. …”

Table 1_Gender differences in the association between smoking and the risk of suicide in depressed patients: a longitudinal national cohort study.docx by Yoo Jin Jang (22465372)

“…Limitations include reliance on self-reported smoking data and lack of time-varying measures of exposure.</p>…”

Table 1_Characterization of alterations in spontaneous behaviors in a rat model of neuropathic pain - new outcome measures for pain evaluation?.docx by Annamária Liptáková (21497360)

“…SNI significantly increased huddling time in both males and females during light and dark phases. …”

Data Sheet 1_Interplay between light and circadian rhythms in the regulation of photoreception and physiological processes in the stony coral Acropora digitifera.docx by Zongyan Shi (20506307)

“…Some genes tested by qPCR significantly fluctuated with light (pmca, sglt, ppp1r, egln, sod, and hsp70) and time (ca, pmca, sglt, ppp1r, hif1α, egln, sod, and sod). …”