Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points... by Folashade B. Agusto (3663010)

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

Average days to heal a wound in 2022 and 2023. by Heba Tallah Mohammed (2822432)

“…DUs also improved, with area reduction increasing from 4.8 cm² to 15.3 cm² and a 23.8% faster reduction time, while larger DUs (>2 cm²) saw a 32.6-day decrease in time to improvement.…”

The expression of the corresponding genes of Fig 5A in PEMs from uninfected Mst1^+/+ and Mst1^ΔM/ΔM mice. by Jianyang Li (461703)

S1 File - by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Flowchart of the selection program. by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Supporting information file corresponding to Fig 7. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 3. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 5. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 8. by Oswaldo Maillard (20660661)

Normalized mean difference between stimulus and responses (y axis) for a range of lags (x axis) for one average participant (p101) and one high performer (p126), separately for den... by Björn Jörges (9258411)

Digital Microfluidic Platform Based on Printed Circuit Board for Affinity Evaluation of Mertansine Aptamers by Dongliu Xiang (10688647)

“…To address this, we developed a low-cost digital microfluidic platform based on printed circuit boards using the aptamer of small-molecule tumor drug mertansine as an example. …”

Source data of S3 Fig, the list of corresponding genes in Fig 5A of PEMs from control Mst1^+/+ and Mst1^ΔM/ΔM mice. by Jianyang Li (461703)

The wound appearance of different groups during the period of study (a) and the percentage of wound reduction in treated groups on different days (b). by Omid Mehrpour (9385929)

Training dynamics of the proposed model for Fold 0. by Celina Rieck (22574722)

Comparison of Realistic and Slit Models of Activated Carbon for Xe/Kr Separation by Xuan Peng (1966369)

“…In slit pores, the Xe/Kr selectivity peaks at 32 for 0.8 nm pores at 0.1 MPa and decreases with pressure and pore size. The 1.1 nm slit pore at 1.0 MPa and 238 K achieves a maximum Xe adsorption capacity and selectivity of 14. …”

Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub by Ruosi Liang (14018604)

“…Our satellite-based estimation finds a rice methane emission of 0.85 (0.69–1.03) Tg a^–1 from the province or an average emission factor of 22.0 (17.8–26.6) g m^–2 a^–1 when normalized by rice paddy areas. …”

Distribution of AQI and Air pollutants indicators by provinces. by Weixin Chen (138569)

Influencing factors of APCA. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Temporal trends in APCA. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”