The inactivation of the acetyl-CoA acyltransferase 1 enzyme by the novel putative miRNA Oeu124369 leads to a decrease in Acetyl-CoA production and additionally, the deactivation of... by Mohammad Hossein Pakdel (19837942)

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…Post pandemic, bioscience students worry about the increased living costs and are strongly in favour of a mixture of face-to-face and blended learning approaches. Our results show that bioscience students can self-report poor mental health while developing resilience, indicating tailored support can aid in developing students’ resilience. …”

Table 1_Gut microbiota dysbiosis in people living with HIV who have cancer: novel insights and diagnostic potential.xlsx by Zhiman Xie (11446130)

Periodic Open Cellular Structures with Streamlined Elliptical Struts for the Intensification of Mass Transfer-Limited Catalytic Reactors by Claudio Ferroni (10972436)

Subjects:

Female regression coefficients for regression #3 across development in set size = 2 and set size = 4. by Juliana Chase (20469427)

Strategy parameters across development for female mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Comparative Internal and External AUC Performance Across Single-Site Models. by Ioana Duta (18462981)

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…</p>Methods<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. …”

Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces by Reza Arabsheibani (14244716)

“…It lets designers gauge when `imperfect’ instructions remain usable, optimise wording and grammar, and develop adaptive indoor navigation, evacuation, or accessibility aids. By quantifying skill transfer across layouts, it also provides an experimental testbed for cognitive theories of heuristic learning and spatial knowledge acquisition</p>…”

(A-H). Case 1: primary subcutaneous facial alveolar echinococcosis. by Louis Bohard (22250661)

FFT analysis of isoflurane levels, suppression duration comparison across conditions, and sample oscillations at different isoflurane levels. by Mohammad-Mahdi Abolghasemi (22367296)

Visualization of the logistic regression model. by Gaosha Li (20570760)

Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection. by M. Mendez (6624953)

Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection. by M. Mendez (6624953)

Image 2_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…Background<p>Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. …”

Table 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.docx by Jiaming Wang (2637667)

“…Background<p>Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. …”