Fig 3 - by Mary J. Obayemi (11813022)

Lysosomal hydrolase activities of astrocytes and microglia in mixed glia are quantified in a cell type-specific manner. by Yung-Cheng Huang (3443450)

Number of deer bows and proportion of deer showing aggressive behaviour in 2016–2017 and 2020–2021. by Haruka Uehara (15503536)

Oxamate reduces cell viability, LDHA expression, and LDH activity in A549 and NCL-H1975 cells, enhancing the cytotoxic effect of LBP. by Siyu Yuan (7425719)

Fig 4 - by Mary J. Obayemi (11813022)

Confirmation of microarray findings with RT-qPCR. by Meizi Zhang (776126)

“…<p>(A) Three genes from the focal adhesion, cytoskeleton and ECM gene set (Lamc1, Dock1 and Thbs2) were selected and confirmed to be decreased 6hr following adipogenic induction in FTO knock-down cells. …”

Effects of melatonin on circulating obestatin concentration in HFD-induced obese rats. by Mary J. Obayemi (11813022)

The effect of background light on WT and TrUx;GapOx rods: Response–intensity and Weber-Fechner curves. by Ala Morshedian (4165957)

miR-1469 expression in melanoma tissue and melanoma cell lines. by Mallory J. DiVincenzo (11372420)

High glucose-containing media attenuates the degradation of internalized oAβ in mixed glia cultures. by Yung-Cheng Huang (3443450)

Effect of pentosan polysulfate sodium on the serum levels of chemokines and cytokines involved in inflammation. by Penny A. Rudd (10298691)

“…<b>(E)</b> CXCL13 expression was significantly increased between CHIKV-infected untreated and CHIKV-infected PPS-treated groups (41239.5 ± 3612.3 vs 15868.6 ± 3636.2 **P = 0.0080)). <i>One-Way ANOVA with a Tukey’s post-test</i>. <b>(F-L)</b> Chemokines/cytokines that displayed a decreased trend in protein expression without meeting statistical significance are also shown.…”

Quantification of apoptosis and necrosis by flow cytometry in CsA-treated HRE cells: Effect of MAGEH1 knockdown. by Gyu-Tae Shin (5819249)

Validation of distinct contribution of capsule and hypercapsule-associated HMV in IFA-conferred protection against hvKP infection using a <i>ΔrmpD</i>-K7 mutant. by Tingting Wang (123983)

Included sales data categories and estimated contribution to sodium intake according to NDNS [18]. by Lauren K. Bandy (10912766)

Contribution of nitric oxide and NADPH oxidase to the vascular effects of angiotensin. by Graziela N. Hagihara (623403)

Flowchart of CNNBLSTM algorithm. by Guozhu Sui (21672798)

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”

Comparison of TL and VL of different algorithms. by Guozhu Sui (21672798)

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”

Analysis of ST characteristics of TF. by Guozhu Sui (21672798)

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”

Schematic diagram of STTFP model. by Guozhu Sui (21672798)

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”

Summary of the methods in current research. by Guozhu Sui (21672798)

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”