Fig..mw by yurou pan (21094949)

“…This difference stems from the influence of consumer heterogeneity on demand elasticity.When r is large enough, on the contrary, the price elasticity under disclosure is higher than that under non-disclosure, leading to the decrease of disclosure probability with r (see Figure 3b).…”

Assessment of the relationship between adiposity, Sirtuin 1, and miR-30a-5p in a mixed-ancestry population in Bellville South, Cape Town. by Babalwa Gaxamba (20810513)

“…Key variables include sample IDs, absorbance values, cycle threshold (CT) values, ΔCT, 2^-ΔCT, ΔΔCT, and 2^-ΔΔCT calculations. …”

Data Sheet 1_Determining the impact of the COVID-19 pandemic on the consumption of antibiotics in Shaanxi province, China: an interrupted time-series analysis.zip by Wenjing Ji (720509)

“…The decrease in antibiotic consumption in the Watch category (β2 = −2.164; p < 0.001) was larger than in the Access category (β2 = −1.773; p < 0.001), and penicillins (J01C) (β2 = −1.261; p < 0.001) showed a higher decline than cephalosporins (J01D) (β2 = −1.147; p < 0.001). …”

Image 2_Phage therapy for extensively drug resistant Acinetobacter baumannii infection: case report and in vivo evaluation of the distribution of phage and the impact on gut microb... by Jiayao Qu (11309880)

“…In fecal samples, a significant reduction in the Ct value of phages was observed following both phases of bacteriophage treatment, with values decreasing from 35.5 to 22.5 and from 32.6 to 22.7, respectively. …”

Image 1_Phage therapy for extensively drug resistant Acinetobacter baumannii infection: case report and in vivo evaluation of the distribution of phage and the impact on gut microb... by Jiayao Qu (11309880)

“…In fecal samples, a significant reduction in the Ct value of phages was observed following both phases of bacteriophage treatment, with values decreasing from 35.5 to 22.5 and from 32.6 to 22.7, respectively. …”

CS-US experiment. by Elías M. Fernández Santoro (22470299)

“…<p>(A) Average weight shift after plasticity for each parallel fiber. The CS pf sees a large decrease in weight. (B) Weight changes during plasticity, averages for each CS/US trial. …”

Evolution of DDM parameters with plasticity. by Jyotika Bahuguna (729510)

“…The mean over all networks is shown by large black circles. (B) All network types show a decrease in decision onset time (<i>t</i>) due to plasticity. …”

Betti curves of red pulp, white pulp, and B cells populations in the murine spleen tissue. by Maria Torras-Pérez (22439376)

“…The peaks of the curves are due to a large proportion of cells within dense regions where many small-scale loops form. …”

Table_1_The differential effects of eicosapentaenoic acid and docosahexaenoic acid on cardiovascular risk factors: an updated systematic review of randomized controlled trials.DOCX by Gyu Yeong Choi (19758978)

Propofol wash-in. by Anne S. Fleiner (20496284)

“…(ii) A significantly larger decrease in post-burst spikes was observed after wash-in of both 3 μM and 10 μM propofol compared to the control (0 μM). …”

Evaluation of PCR amplification bias and PCR amplification efficiency. by Trang Thi Quynh Tran (20485595)

“…(<b>C</b>) The ΔCt value, calculated by subtracting the CT value of the MSP primer set from that of the MIP primer set for each sample, proportionally increases as the DNA input decreases, indicating the Pfaffl formula to be suitable for relative quantification. …”

Fig 8 - by Shima Bahramizadeh-Sajadi (20391247)

“…Although ring category has a greater effect on these measures than the cross-sectional area, the area also affects the results: Increasing the cross-sectional area of the ring causes the cornea to flatten, resulting in a decrease in K_mean and axial length. The cornea also becomes thinner when larger rings are used and the contact pressure between the ring and the cornea increases. …”

Noise and Recurrence Destroy E/I Co-Tuning. by Emmanouil Giannakakis (8415591)

“…<b>c.</b> An increase in the input noise leads to a reduction in diversity (teal) and, for larger noise intensities, also co-tuning of E/I weights (purple). …”

Effect of aspirin on endometrial histomorphometry in PCOS rats during the window of implantation. by Ying Zhang (40767)

“…<b>(a)</b> Control group, the endometrial stroma is loose, with synchronous development of glands and stroma, abundant glands, and a rich vascular supply; <b>(b)</b> Model group, endometrial glandular hypoplasia is observed, characterized by small glandular lumina and a reduced number of glands, along with a decrease in vascularity; <b>(c)</b> Aspirin group, endometrial development shows improvement, manifested by larger glandular lumina, loose stroma, and an increased number of glands and vessels within the stroma. …”

Data Sheet 1_Trends in nontraumatic subarachnoid hemorrhage-related mortality among young adult (15–64 years) population in the United States, 1999–2022.docx by Olivia Foley (20535083)

Image 4_Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.jpeg by Ting Li (117885)

“…The VPA results indicated that edaphic factors explained 37% of the bacterial community variations, while C/N, ALT, and VEG explained 49% of the total fungal community variations. …”

Image 3_Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.jpeg by Ting Li (117885)

“…The VPA results indicated that edaphic factors explained 37% of the bacterial community variations, while C/N, ALT, and VEG explained 49% of the total fungal community variations. …”

Image 5_Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.jpeg by Ting Li (117885)

“…The VPA results indicated that edaphic factors explained 37% of the bacterial community variations, while C/N, ALT, and VEG explained 49% of the total fungal community variations. …”

Table 1_Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.xlsx by Ting Li (117885)

“…The VPA results indicated that edaphic factors explained 37% of the bacterial community variations, while C/N, ALT, and VEG explained 49% of the total fungal community variations. …”

Image 2_Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.jpeg by Ting Li (117885)

“…The VPA results indicated that edaphic factors explained 37% of the bacterial community variations, while C/N, ALT, and VEG explained 49% of the total fungal community variations. …”