Data Sheet 1_Comparison of carbonic anhydrase-IX-targeted trifunctional radioligands between linear- and branched-chain arrangements.pdf by Kazuma Nakashima (11383055)

“…The introduction of an albumin binder (ALB) to radioligands can delay their renal clearance, resulting in increased radioactivity delivered to tumors and decreased renal uptake of radioligands. In this study, we designed novel CA-IX-targeted trifunctional radioligands consisting of imidazothiadiazole sulfonamide (IS) as a CA-IX-targeted ligand, DOTA as a chelator with four free carboxylic groups, and lysine-conjugated 4-(p-iodophenyl)butyric acid (Lys-IPBA) as ALB, with IS-[¹¹¹In]In-DOTADG-ALB in a linear-chain arrangement and [¹¹¹In]In-DOTAGA-ALB-IS in a branched-chain arrangement. …”

LiMMCov user interface. by Perseverence Savieri (21526298)

“…<div><p>The correct specification of covariance structures in linear mixed models (LMMs) is critical for accurate longitudinal data analysis. …”

Model fit comparison. by Perseverence Savieri (21526298)

“…<div><p>The correct specification of covariance structures in linear mixed models (LMMs) is critical for accurate longitudinal data analysis. …”

Location on the map of each wind observation station. by Weidong Ji (129916)

Wind speed box plots at observation stations (red) and ERA5 cells (green) at heights of 10m and 100m, respectively. by Weidong Ji (129916)

GLM tab. by Perseverence Savieri (21526298)

Covariance Analysis tab. by Perseverence Savieri (21526298)

PACF plots. by Perseverence Savieri (21526298)

Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

Residual plots. by Perseverence Savieri (21526298)

Correlation between near-source wastewater SARS-CoV-2 detections and national surveillance, using individual daily data points (top row) and a five-day moving average (bottom row). by Jay C. Bullen (10232606)

Shaped inputs required to eliminate residual oscillations from the linearized cart-pendulum system (Eqs 4–5), for different movement durations. by Salah Bazzi (11851767)

Association of covariates and COPD risk. by Yushan Shi (16440272)

“…</p><p>Conclusion</p><p>Our findings suggest a potential link between increased dietary niacin intake and a decreased prevalence of COPD.…”

Calculation of peak force and impulse values from force plate data. by Leena Inkilä (20614460)

Fig 4 - by Leena Inkilä (20614460)

Craniocaudal impulses of fore- and hindlimbs at three bar heights during take-off. by Leena Inkilä (20614460)

The long-term <i>in vitro</i> surrogate bacterial viability of canine and feline FMT products frozen at -80°C for six months. by Nina K. Randolph (21030732)

Timeline of norovirus GI and GII wastewater detections, alongside the number of weekly national surveillance laboratory reports at (a-b) site 4 (university), and (c-d) site 5 (care... by Jay C. Bullen (10232606)

Non-linear associations between serum manganese with chronic kidney disease: results from two nationwide studies in the United States and China by Jiliang Zhang (1500367)

“…</p> <p>The higher Mn concentration was significantly associated with a lower prevalence of CKD through different non-linear patterns.…”