LSTM model structure. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Proposed model architecture. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Kinetics and dose response of distinct changes to HDMEC barriers induced by TNF and IL-β. by Paul R. Clark (714064)

“…B: TNF induction of an early TEER rise and a bi-phasic TEER decrease. Labels indicate the peak of the early TEER increase and two distinct phases of TEER decrease (as nadirs to phases 1 and 2). …”

Week 3 prediction using Seq2Seq model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Week 1 prediction using Seq2Seq model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Compare related work with our research. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Week 3 prediction using LSTM model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Seq2Seq model structure. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Week 2 prediction using Seq2Seq model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Week 1 prediction using LSTM model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Week 2 prediction using LSTM model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Google trends keywords used to train the model. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Seq2Seq model structure. by Yeongha Kim (12174924)

“…We compare the prediction error of the existing and proposed models with the COVID-19 prediction results reported from five US states: California, Texas, Florida, New York, and Illinois. …”

Intermuscular and intramuscular innervation of the colon and reinnervation phenomena in control and Swiss mice infected with 50,000 trypomastigotes of the Y strain of <i>T</i>. <i>... by Camila França Campos (360935)

This is the raw data of IHC-1 in Rat. by Yangyang Yin (14323701)

“…In human peritoneal solution, we found that the expression of miR-132-3p decreased in a time-dependent model and its effect became more pronounced with longer PD duration.…”

Sequences of the primers for q-PCR. by Yangyang Yin (14323701)

“…In human peritoneal solution, we found that the expression of miR-132-3p decreased in a time-dependent model and its effect became more pronounced with longer PD duration.…”

Data_Sheet_1_Improvements in mental health associated with increased electronic communication and deterioration in physical health in adults aged 50+ during the COVID-19 pandemic.D... by Shay Musbat (18861388)

“…</p>Objective<p>This longitudinal study aims to provide a quantitative analysis of the COVID-19 impact on the physical, mental, and social parameters in adults aged 50 and older before, in the early stages, and during the COVID-19 pandemic.…”

S1 Data - by Estibaliz Castillero (393067)

“…We analyzed SSTR in cardiac samples from patients with end-stage ischemic cardiomyopathy (ICM, n = 8) and control hearts (n = 5). …”

Comparison of molecular and metabolic changes caused by 24 hours treatment of SF188 pediatric glioblastoma cells with PI-103 or TMZ at 2×GI₅₀. by Nada M. S. Al-Saffar (454143)

Image_5_Appetitively motivated tasks in the IntelliCage reveal a higher motivational cost of spatial learning in male than female mice.TIFF by Martina Nigri (12104966)