TG6-44 treatment leads to decrease in A/X31-induced cell death in THP-1 cells. by Juan A. De La Cruz (11154187)

Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon. by Daisuke Sugahara (2047696)

Proliferative tissue degeneration is accompanied by a sustained decrease in proliferation, acute apoptotic responses, and progressive accumulation of DDR foci. by Catarina M. Henriques (102294)

“…Data are represented as mean +/− SEM. Scale bar = 50 µm.</p>…”

Human cerebral organoids treated with VPA show a decreased size, impaired neurogenesis, and induction of senescence in NE cells. by Muriel Rhinn (406515)

Infection with <i>Shigella flexneri</i> M90T<i>ΔaroA</i> results in a decrease in TAMs number. by Katharina Galmbacher (252251)

Assessment of exoprotein concentration in a 50-mL culture of MH96. by Marion Schoof (11999106)

ST2-104 decreases the Aβ_25-35-mediated increase in intracellular Ca²⁺. by Yingshi Ji (9013004)

NC1 α4(IV) overexpression by melanoma cells decreases tumor growth in a mouse xenograft model. by Sylvie Brassart-Pasco (169037)

A long-term "memory" of HIF induction in response to chronic mild decreased oxygen after oxygen normalization-5 by Chandrashekhar D Kamat (60176)

“…<p><b>Copyright information:</b></p><p>Taken from "A long-term "memory" of HIF induction in response to chronic mild decreased oxygen after oxygen normalization"</p><p>BMC Cardiovascular Disorders 2007;7():4-4.…”

S1 File - by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Detailed information on field experiments. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

List of symbols used in this study. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Data sources for calibration and evaluation. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Targeted point mutation (F639A) in the GluN1 subunit decreases ethanol sensitivity of NMDA receptors. by Carolina R. den Hartog (484817)

Decreased MRPS34 levels cause a reduction in mitochondrial protein synthesis and steady state levels of mitochondrial proteins. by Tara R. Richman (713532)

Image5_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.TIFF by Gabriella Gálffy (177759)

“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”

The mean relative error and standard deviation (vertical bar) versus the number of receive channels for acceleration factors of 2 and 3, showing that the error increases as the num... by Kamlesh Pawar (425523)

SDG decreases iron-induced apoptosis in H9c2 cells. by Stephanie Puukila (568109)

Advancing the science of NOWS research. by Sarah E. Maylott (14560785)

“…<div><p>Every 15 minutes in the US, an infant exposed to opioids is born. Approximately 50% of these newborns will develop Neonatal Opioid Withdrawal Syndrome (NOWS) within 5 days of birth. …”

Protocol measures. by Sarah E. Maylott (14560785)

“…<div><p>Every 15 minutes in the US, an infant exposed to opioids is born. Approximately 50% of these newborns will develop Neonatal Opioid Withdrawal Syndrome (NOWS) within 5 days of birth. …”