The linearly decreasing convergence factor a. by Junhao Wei (6816803)

The injectable contraceptives depot medroxyprogesterone acetate and norethisterone enanthate substantially and differentially decrease testosterone and sex hormone binding globulin... by Chanel Avenant (409756)

“…Both contraceptives substantially decreased, from D0 to 25W, the total testosterone [DMPA-IM D0 0.560, 25W 0.423 nmol/L, -24.3% (p < 0.0001); NET-EN D0 0.551, 25W 0.253 nmol/L, -54.1%, (p < 0.0001)], SHBG [DMPA-IM D0 45.0, 25W 32.7 nmol/L, -29.8% (p < 0.0001); NET-EN D0 50.2, 25W 17.6 nmol/L, -65.1% (p < 0.0001)], and calculated free testosterone levels [DMPA-IM D0 6.87, 25W 5.38 pmol/L, -17.2% (p = 0.0371); NET-EN D0 6.00, 25W 3.70, -40.0% (p < 0.0001)]. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…Experimental results demonstrate that SCI-YOLO11 achieves a 3.2% improvement over baseline models in terms of MAP@0.5 metric; precision and recall rates increase by 2.6% and 3.7%, respectively. Additionally, its parameter count and floating-point operations decrease by 6% and 7.9%, respectively. …”

Store listing metrics and user acquisition. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

Installation, growth, and retention metrics. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

Implemented activities. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

App user retention trends. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

App user onboarding trends. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

App user base growth trends. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

Raw data 6–9 and 15. by Fateme Khorramroo (18086501)

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Comparison of diffusion simulations: implicit scheme of the GDE with a 30-second time step (blue line), implicit scheme of the PNGM with α = 0.6 and a 15-second time step (green li... by Mouad Klai (20818364)

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

Uganda 2023 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

“…The risk factor prevalences that increased significantly were: high blood glucose from 1.5% in 2014 to 3.3% in 2023 (p< 0.001); overweight and obesity from 19.3% in 2014 to 24.1% in 2023 (p< 0.001); current alcohol consumption from 28.5% in 2014 to 31.1% in 2023 (p=0.013); and sedentariness from 26.6% in 2014 to 31.9% in 2023 (p< 0.001). The risk factor prevalences that decreased significantly were: inadequate physical activity from 5.0% in 2014 to 3.6% in 2023 (p=0.003), and current smoke tobacco use from 9.6% in 2014, to 8.3% in 2023 (p= 0.046). …”

Uganda 2014 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

“…The risk factor prevalences that increased significantly were: high blood glucose from 1.5% in 2014 to 3.3% in 2023 (p< 0.001); overweight and obesity from 19.3% in 2014 to 24.1% in 2023 (p< 0.001); current alcohol consumption from 28.5% in 2014 to 31.1% in 2023 (p=0.013); and sedentariness from 26.6% in 2014 to 31.9% in 2023 (p< 0.001). The risk factor prevalences that decreased significantly were: inadequate physical activity from 5.0% in 2014 to 3.6% in 2023 (p=0.003), and current smoke tobacco use from 9.6% in 2014, to 8.3% in 2023 (p= 0.046). …”

Linear contact model. by Qingwen Li (1510687)

Linear regression analysis. by Young Kyu Lee (14076058)

Chun Fai Martin Cheng: How can we decrease metabolism in the New Zealand green-lipped mussels, Perna canaliculus, for better transport? by Cheng Martin (11717816)