Scenario 2. Advanced patient with STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…While medication costs may increase, overall direct healthcare expenses decrease, leading to net savings. As an example, the study estimates potential cost reductions of up to €137.8 million in Germany and €19 million in Sweden when STAT-ON™ is used to detect advanced PD symptoms. …”

Model performance comparison. by Shayla Naznin (13014015)

“…</p><p>Results</p><p>This study confirms a significant decline in under-5 mortality in Bangladesh over the study period, with machine learning models providing accurate predictions of future trends. …”

Physical properties of porous media. by Yingguo Wang (21094364)

“…The results demonstrated that interlayers significantly influence soil water distribution and transport patterns. …”

MRI grading systems’ diagnostic accuracy for MD. by Neda Azarpey (20308334)

“…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”

MRI-based cochlear hydrops grading and PLE in MD. by Neda Azarpey (20308334)

“…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”

Cochlear hydrops classification in MRI systems. by Neda Azarpey (20308334)

“…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”

Schematic diagram of numerical simulation model. by Mengyun Li (7490870)

“…<div><p>After prolonged waterflooding development, the main integrated oil reservoirs in the X Oilfield have largely entered the late stage of waterflooding, with an average water cut reaching approximately 98%. However, a significant amount of remaining oil still accumulates in the weak water-flushed zones of low-permeability layers, which presents substantial development potential. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

“…Under the synergistic effect of the Laplace force and wettability gradient force, the average speed of the whole movement process of the water droplet can reach 225.2 mm/s, which was much higher than those reported in previous studies, the transportation distance exceeded 25 mm, and the track need not be wetted in advance. In addition, the effect of the apex angle of the wettability gradient wedge-shaped track (WGWT) on the droplet self-transport performance was systematically investigated; the results indicated that the transport distance and speed of the water droplet decreased with the increase of the apex angle of the WGWT. …”

Alpha diversity index table. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

ASV species taxonomic information sheet. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

Effective sequence statistics table. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

Primers for RT-qPCR. by Jiaoyang Li (2862269)

“…Recombinant PRRSV lacking this motif displayed reduced virulence and decreased SH3KBP1 degradation. This study advances our understanding of how PRRSV interferes with the host immune response and offers valuable insights for developing novel attenuated vaccines against PRRSV.…”

Horizontal and diagonal FID per disturbance intensity category, per species. by Estefania Velilla (22566709)

Differences in diagonal and horizontal FID for large gulls in mixed- and single- species colonies. by Estefania Velilla (22566709)

Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)