(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…This decrease was larger in the disconnected than in the contralateral cortex. …”

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Image 1_Emphysema-related mortality rates in the U.S. from 1999 to 2022.pdf by Alexandra Brown (225908)

“…</p>Discussion<p>Emphysema-related deaths in the United States decreased overall between 1999 and 2022, likely a result of a greater emphasis on health education concerning the significant dangers of smoking and policy changes that made cigarettes less accessible and less affordable, and more available access to resources and support networks.…”

The parameters of gas exchange markedly decreased in maize <i>zmstomagen1/2</i> mutant compared with in wild type (WT). by Juan-Juan Xu (18590868)

Table 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.docx by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

Image 4_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

Image 2_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

Image 3_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

Image 5_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

Image 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Data Sheet 1_Overarching view of trends and disparities in malignant neoplasm of the ovary between 1999-2023: a comprehensive CDC WONDER database study.docx by Jaikin Patel (22555844)

“…All races analyzed saw a decrease in overall mortality related to malignant neoplasms of the ovary, with the largest decrease being observed in White patients (AAPC: -1.78). …”

Image 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

“…A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of −0.81* (*p-value < 0.05). …”

Image 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

“…A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of −0.81* (*p-value < 0.05). …”

Image 5_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

“…A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of −0.81* (*p-value < 0.05). …”

Image 6_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

“…A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of −0.81* (*p-value < 0.05). …”

Image 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

“…A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of −0.81* (*p-value < 0.05). …”