Video 4_Case Report: Allogeneic adipose-derived mesenchymal stem cells for severe feline chronic kidney disease.mp4 by Yizhe Song (11859734)

“…After 4 months of guideline-directed supportive care (in accordance with IRIS recommendations), there were no significant changes in clinical symptoms or laboratory markers, and the cat continued to exhibit a cachectic condition. …”

Viability and drug resistance of A2780 cells following AGPAT3 overexpression. by Hadi Alizadeh (20854757)

Individual cost data. by Jamal Atfeh (21212547)

“…</p><p>Conclusion</p><p>The clinical effectiveness of the iNPWT single-use portable device could not be demonstrated compared to standard dressings for prophylactic use, in terms of the incidence of wound healing complications, in patients scheduled for TAA and not selected on the basis of risk factors. …”

Hsp90 mutation does not impact TDP-43 protein levels at the permissive temperature, 16°C. by Laura Garcia-Toscano (20477540)

Preliminary screening of selected compounds for suppressing lactate and superoxide formation in Jurkat cells. by Samo Lešnik (21073880)

Overall model framework. by Ke Yan (331581)

“…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)

“…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)

“…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)

“…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. …”

The result compared with other existing methods. by Ke Yan (331581)

“…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. …”

Trend of total hospital attendance. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

Trend of outpatient (OPD) consultations. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

Variables used for the analysis. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

Trend of PNC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

Trend of ANC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

Total hospital attendances by specialty. by Yaw Nyarko Opoku-Boateng (20477302)

“…<div><p>Introduction</p><p>Covid-19 has had devastating effect on health systems and health utilization globally. …”

<i>TcPiezo-CKO</i> responses to hypoosmotic stress. by Guozhong Huang (673424)

Data_Sheet_1_Analysis of spatial and temporal characteristics and evolution of green total factor productivity in agriculture in the lower Yellow River basin.xlsx by Junru He (20158257)

Ungulate community dynamics and associated environmental variables at Buffalo Ford Lake and the lower Lamar Valley during the last <i>c</i>. 2300 years. by John A. F. Wendt (19976392)

The protective effects of neferine against paracetamol-induced liver injury are associated with the activation of SIRT1/Nrf2/HO-1 signaling pathway and inhibition of NF-kappa B/TNF... by Mohammed A. Altowijri (22461945)

“…<p>Drug-induced hepatotoxicity is a significant public health issue that influences the development of novel pharmaceutical therapies and the retraction of numerous promising medications from the market. …”