Figure 2 from Auranofin Synergizes with Cisplatin in Reducing Tumor Burden of NOTCH-Dependent Ovarian Cancer by Robert J. Lake (22408833)

“…RBPJ occupancy at <i>HES1</i> and <i>HES4</i> promoters decreased in a dose-dependent manner. <i>CDKN1A</i> (p21) served as a negative control. …”

Quantifying bactericidal effects of cold Ar-CAPP against diverse <i>E. coli</i> strains. by Elanie F. Briggs (22103678)

“…A one-way ANOVA with post-hoc Dunnett’s test showed statistical significance <i><i>(p-value<0.05)</i></i> only for the ESBL41:MG1655 at 10² CFU/cm². …”

Data Sheet 1_The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin.pdf by Imre M. Jánosi (7480598)

“…Almost all the water level and discharge records indicate a decadal decreasing trend for annual maximum values. …”

Supplementary file 1_Age-period-cohort analysis of syphilis epidemics in Eastern China, China, 2005–2024.docx by Zheyuan Ding (4281394)

“…The implementation of national syphilis control programs has achieved significant results. There is a need to strengthen the management of late-stage syphilis among older adults and enhance syphilis prevention and control efforts among adolescents.…”

Image 1_Age-period-cohort analysis of syphilis epidemics in Eastern China, China, 2005–2024.jpeg by Zheyuan Ding (4281394)

“…The implementation of national syphilis control programs has achieved significant results. There is a need to strengthen the management of late-stage syphilis among older adults and enhance syphilis prevention and control efforts among adolescents.…”

Image 3_Age-period-cohort analysis of syphilis epidemics in Eastern China, China, 2005–2024.jpeg by Zheyuan Ding (4281394)

“…The implementation of national syphilis control programs has achieved significant results. There is a need to strengthen the management of late-stage syphilis among older adults and enhance syphilis prevention and control efforts among adolescents.…”

Image 2_Age-period-cohort analysis of syphilis epidemics in Eastern China, China, 2005–2024.jpeg by Zheyuan Ding (4281394)

“…The implementation of national syphilis control programs has achieved significant results. There is a need to strengthen the management of late-stage syphilis among older adults and enhance syphilis prevention and control efforts among adolescents.…”

Swimming endurance training reduces T-wave amplitude and area in <i>Mib1</i>^<i>flox</i><i>;Tnnt2</i>^<i>Cre</i> mice. by Vítor S. Fernandes (21262991)

“…<p><b>(A)</b> Representative QRS complex and T-wave, with (A’) a close-up of the T-wave in WT and <i>Mib1</i>^<i>flox</i><i>;Tnnt2</i>^<i>Cre</i> mice before the swimming protocol. …”

60 Hz-induced neural entrainment. by MohammadAmin Alamalhoda (22386405)

“…The gray bar indicates the 50 Hz line noise, which was notch-filtered. A strong 60 Hz frequency component is evident from start to finish but decreases over the course of the study at day 5 and day 19. …”

Multivariate statistical analysis diagram. by Ying Zhang (40767)

“…<p><b>(a, b)</b> PLS-DA diagrams. The separation pattern was satisfactory, with significant differences in principal components among the groups, indicating that the metabolic profiles underwent significant alterations between different groups. …”

Table 1_Comparative transcriptomic and molecular biology analyses to explore potential immune responses to Vibrio parahaemolyticus challenge in Eriocheir sinensis.docx by Duanduan Chen (6860495)

“…<p>Vibrio parahaemolyticus is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes associated with acute hepatopancreatic necrosis syndrome. …”

Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 8_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Data Sheet 1_Visual attention during non-immersive virtual reality balance training in older adults with mild to moderate cognitive impairment: an eye-tracking study.pdf by Marcos Maldonado-Díaz (11221102)

“…Clinical tests revealed a slight increase, though results were not statistically significant in balance and walking speed (p = 0.063). …”

Image 6_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 2_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 7_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 5_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 4_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 3_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”