Simulated regional mean wetland seasons. by Nic Gedney (19762301)

Decadal mean regional hydrology. by Nic Gedney (19762301)

Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

Performance of <i>MH</i>_{<i>EA</i>4<i>OP</i>} vs. <i>H</i>_{<i>EA</i>4<i>OP</i>}. by Almiqdad Elzein (13141038)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

Table1_RAB39B as a Chemosensitivity-Related Biomarker for Diffuse Large B-Cell Lymphoma.DOCX by Cong Xu (203537)

“…DLBCL cohort analysis found that RAB39B expression was related to 14 m6A modifier genes, including YTHDC1, YTHDC2, YTHDF1, YTHDF2, YTHDF3, RBMX, ZC3H13, METTL14, METTL3, RBM15, RBM15B, VIRMA, FTO, and ALKBH5. …”

During electrical stimulation the decrease in compound action potential (CAP), but not of ATP, is larger in <i>Plp</i>^null/y mice. by Andrea Trevisiol (9647910)

Image_1_Surgery for Primary Cardiac Tumors in Children: Successful Management of Large Fibromas.TIFF by Tao Qian (1480588)

“…During the median follow-up period of 3.1 years and maximum of 12.5 years, adverse events included 2 early and 1 late death, 4 reoperations, 4 tumor recurrences, and 1 LV dysfunction lasting over one year. …”

Studies with large effect sizes tend to have low samples sizes. by Jeff C. Clements (9161831)

DataSheet_1_Changes in Urologic Operative Practice at the Beginning of the COVID-19 Pandemic in a Large, National Cohort.docx by Patrick Lewicki (10761807)

“…Northeastern (β = -5.66, 95% confidence interval [CI]: -10.2 to -1.18, p = 0.013) and Midwestern hospitals (β = -4.17, 95% CI: -7.89 to -0.45, p = 0.027; both with South as reference region), and those with an increasing percentage of patients insured by Medicaid (β= -0.17 per percentage point, 95% CI: -0.33 to -0.01, p = 0.04) experienced a significantly larger decrease in volume.…”

Large-scale cortical travelling waves predict localized future cortical signals - Fig 1 by David M. Alexander (7732289)

“…Since each phase estimate requires a window of the raw time-series (brackets), and this window is larger at low frequencies, this means the minimum temporal delay (milliseconds) between past and future phase estimates increases with decreasing frequency. …”

A large proportion of NSCs redivide within 24 to 72 h. by Valerio Lupperger (9745714)

Nuclear translocation of NFATc1 is decreased in <i>Tcirg1</i>-knockdown osteoclasts. by Dongyan Zhang (640677)

Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions by Ruth A. Lanius (3121746)

“…<p>Three intrinsic connectivity networks in the brain, namely the central executive, salience, and default mode networks, have been identified as crucial to the understanding of higher cognitive functioning, and the functioning of these networks has been suggested to be impaired in psychopathology, including posttraumatic stress disorder (PTSD).</p> <p>1) To describe three main large-scale networks of the human brain; 2) to discuss the functioning of these neural networks in PTSD and related symptoms; and 3) to offer hypotheses for neuroscientifically-informed interventions based on treating the abnormalities observed in these neural networks in PTSD and related disorders.…”

Fig 1 - by Rabia Asghar (18840759)

S1 Dataset - by Rabia Asghar (18840759)

“…Deep learning models exhibited improved performance for more extensive datasets and exhibited higher levels of accuracy in concurrence with increasingly large datasets. Availability of appropriate datasets remains a primary challenge, potentially resolvable using data augmentation techniques. …”

Fig 1 - by Velma K. Lopez (18510171)

DataSheet1_Impacts of large-scale circulation patterns on the temperature extremes in the cold regions of China with global warming.docx by Yiyang Dong (3846868)

“…The results showed that 1) the warming magnitudes in cold nights and warm nights are greater than those in cold days and warm days, and decreases in cold nights and cold days and increases in warm days and warm nights appeared in almost all of cold regions of China. …”