Residual deformation parameters of soil. by Jie Zhao (49409)

“…Results demonstrate that unreinforced foundations exhibit systematic residual deformation due to liquefaction-induced sand flow, which is significantly reduced by gravel pile reinforcement. Both excess pore water pressure and pore pressure ratio decrease markedly after reinforcement. …”

Soil fluid and liquefaction parameters. by Jie Zhao (49409)

“…Results demonstrate that unreinforced foundations exhibit systematic residual deformation due to liquefaction-induced sand flow, which is significantly reduced by gravel pile reinforcement. Both excess pore water pressure and pore pressure ratio decrease markedly after reinforcement. …”

PL-Finn model development procedure diagram. by Jie Zhao (49409)

“…Results demonstrate that unreinforced foundations exhibit systematic residual deformation due to liquefaction-induced sand flow, which is significantly reduced by gravel pile reinforcement. Both excess pore water pressure and pore pressure ratio decrease markedly after reinforcement. …”

Data Sheet 1_Development and validation of a sliding type continuous passive motion automation device for evaluation and rehabilitation of frozen shoulder: a pilot study.pdf by Jewoo Lee (22028855)

“…Passive stiffness in the intervention group significantly decreased in abduction (p = 0.010) and external rotation (p < 0.001). …”

Table 1_Does adding ginger extract to a preoperative carbohydrate drink improve outcomes in enhanced recovery after elective neuro-oncologic craniotomy? A randomized controlled tri... by Anukoon Kaewborisutsakul (12988303)

“…The incidence of PONV did not significantly decrease (25% vs. 37.5%; p = 0.534), but vomiting episodes were significantly reduced (6 vs. 23 episodes; p = 0.003). …”

Key modeling details for CoVPF and controls. by Zhong-yi Lei (22552944)

“…Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. Case studies showed that CoVPF delivered more accurate and timely forecasts for lineage expansions and inflections such as EG.5.1 and XBB.1.5. …”

Image 1_Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group.jpeg by Shabbir Chowdhury (22246345)

“…Although systolic and diastolic BP showed a non-significant upward trend, HR decreased significantly after caffeine intake (77 ± 5.3 bpm to 72 ± 2.5 bpm, p = 0.027). …”

The long-term <i>in vitro</i> surrogate bacterial viability of canine and feline FMT products frozen at -80°C for six months. by Nina K. Randolph (21030732)

“…<p>All canine FMT products exhibited a significant decrease in overall bacterial viability at the six-month timepoint. …”

Effects of the presence of stabilimentum concerning prey vibration acting in the direction tangent to the spiral threads. by G. Greco (7636232)

RSA results across a broader frequency band (0.1–150 Hz). by Pengcheng Lv (7609706)

“…<p><b>(A)</b> For the translation epochs from good trials, the similarity of Same Context was significantly greater than the similarity of Different Context in HC. …”

Table 3_Ageing, clinical complexity, and exercise therapy: a multidimensional approach.docx by Salvatore Corrao (441339)

“…Ageing represents the primary risk factor for chronic degenerative diseases, especially involving cardiovascular, metabolic, respiratory, and osteoarticular systems, determining the decrease in activities and quality of daily life. Regular physical activity can significantly reduce the risk of chronic degenerative diseases, moderate or severe functional limitations, and premature death in older adults. …”

Table 1_Ageing, clinical complexity, and exercise therapy: a multidimensional approach.docx by Salvatore Corrao (441339)

“…Ageing represents the primary risk factor for chronic degenerative diseases, especially involving cardiovascular, metabolic, respiratory, and osteoarticular systems, determining the decrease in activities and quality of daily life. Regular physical activity can significantly reduce the risk of chronic degenerative diseases, moderate or severe functional limitations, and premature death in older adults. …”

Table 2_Ageing, clinical complexity, and exercise therapy: a multidimensional approach.docx by Salvatore Corrao (441339)

“…Ageing represents the primary risk factor for chronic degenerative diseases, especially involving cardiovascular, metabolic, respiratory, and osteoarticular systems, determining the decrease in activities and quality of daily life. Regular physical activity can significantly reduce the risk of chronic degenerative diseases, moderate or severe functional limitations, and premature death in older 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. …”

The result compared with other existing methods. 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. …”

NPF-NPFR pathway in LNd-LPN feedback circuit fine-tune cooling induced locomotion increase. by Xin Yuan (174619)

“…Data (G, J, M, P) were analyzed with Welch’s one-way ANOVA (letters a, b denote significance, <i>P</i> < 0.05). Data (F, I, L, O) were quantified with paired <i>t</i> test. …”

Infection of CD 34 by Ancy Joseph (5634794)

“…<p><b>+</b><b> humanized mice resulted in decrease in pathogenicity in CTCF Infected mice.</b> A. …”