Positive Edge Effects on Forest-Interior Cryptogams in Clear-Cuts by Alexandro Caruso (195639)

Video_5_Establishment of sheep nasal mucosa explant model and its application in antiviral research.MP4 by Jian Zheng (287758)

Video_2_Establishment of sheep nasal mucosa explant model and its application in antiviral research.MP4 by Jian Zheng (287758)

Glycogen synthase kinase 3 promotes the proliferation of porcine epidemic diarrhoea virus by phosphorylating the nucleocapsid protein by Xiangchao Jia (21392720)

Proteomic Analysis Is Needed to Understand the Vulnerability of Bunodosoma cavernatum Sea Anemones to Climate Change by Mayra P. Becerra-Amezcua (20622626)

Image_2_Extracellular components in enteroaggregative Escherichia coli biofilm and impact of treatment with proteinase K, DNase or sodium metaperiodate.jpg by Viktoria Van Nederveen (18628381)

Activated ILC2s induce ASM proliferation <i>in vitro</i> in an HMGB1-dependent manner. by Zhixuan Loh (9115796)

“…<p>(a-b) Primary ASM cells were isolated from naïve WT neonatal mice and cultured with ILC2s (purified from the lungs of IRF7^-/- mice at 10 dpi) in the presence of various stimuli as indicated. …”

An AICD-based functional screen to identify APP metabolism regulators-1 by Can Zhang (56016)

Simplified schematic depicting the proposed mechanism underlying the adolescent intermittent ethanol (AIE)-induced loss of basal forebrain cholinergic neurons. by Ryan P. Vetreno (663148)

“…Interestingly, LPS treatment has previously been found to decrease hippocampal expression of the neurotrophin nerve growth factor (NGF) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0204500#pone.0204500.ref055" target="_blank">55</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0204500#pone.0204500.ref056" target="_blank">56</a>], which is critical for basal forebrain cholinergic maintenance and survival [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0204500#pone.0204500.ref010" target="_blank">10</a>]. …”

Inhibition of β2-Microglobulin/Hemochromatosis Enhances Radiation Sensitivity by Induction of Iron Overload in Prostate Cancer Cells by Sajni Josson (102622)

Employment of GIS techniques to assess the long-term impact of tillage on the soil organic carbon of agricultural fields under hyper-arid conditions by ElKamil Tola (2826626)

“…On the average, 76% of the all agricultural fields in the experimental farm showed a decrease of up to 24 g kg^-1 in their SOC content after 10 years (1990–2000) of continuous conventional tillage practices. …”

Data_Sheet_1_The loss of glycocalyx integrity impairs complement factor H binding and contributes to cyclosporine-induced endothelial cell injury.pdf by Chia Wei Teoh (14604851)

DataSheet_1_Exposure to the Gram-Negative Bacteria Pseudomonas aeruginosa Influences the Lung Dendritic Cell Population Signature by Interfering With CD103 Expression.docx by Julyanne Brassard (4117441)

DataSheet1_Multiple transcriptome comparisons reveal the essential roles of FLOWERING LOCUS T in floral initiation and SOC1 and SVP in floral activation in blueberry.PDF by Guo-qing Song (2822285)

Table_1_Low thyroxine serves as an upstream regulator of ecophysiological adaptations in Ansell’s mole-rats.docx by Patricia Gerhardt (15324602)

“…Introduction<p>About 10% of all rodent species have evolved a subterranean way of life, although life in subterranean burrows is associated with harsh environmental conditions that would be lethal to most animals living above ground. …”

Table_1_Incubation of Oxycodone Craving Following Adult-Onset and Adolescent-Onset Oxycodone Self-Administration in Male Rats.docx by Rachel D. Altshuler (11013693)

“…However, on abstinence day 1, we observed decreased oxycodone seeking in adolescents compared with adults. …”

Overall model framework. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Key parameters of LSTM training model. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Comparison chart of model evaluation results. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Model performance evaluation results. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”