PL-Finn model development procedure diagram. حسب 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_Efficacy of music intervention on pain and anxiety in patients undergoing cataract surgery: a systematic review and meta-analysis.docx حسب Lanzhu Su (21570704)

"…</p>Results<p>Eighteen studies with 2,262 participants were included. Music therapy significantly reduced anxiety levels, as demonstrated by a notable decrease in Visual Analog Scale (VAS) anxiety scores (SMD = -7.10, 95% CI: -12.25 to -1.95) and State-Trait Anxiety Inventory (STAI) scores (SMD = -1.26, 95% CI: -1.85 to -0.66). …"

AMP binding free energy calculations and per-residue decomposition of holo and PfIleRS-SANC systems. حسب Curtis Chepsiror (21368103)

Table 1_Perioperative neurocognitive disorder in colorectal cancer surgery: a systematic review of incidence, mechanisms, and interventions.doc حسب Xiujin Huang (22637270)

"…Background<p>Perioperative neurocognitive disorder (PND) represents a significant impediment to postoperative recovery in patients undergoing colorectal cancer surgery, particularly among the elderly. …"

Table_3_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.pdf حسب Yufei Wang (171069)

"…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …"

Table_2_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.XLSX حسب Yufei Wang (171069)

"…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …"

Table_1_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.DOCX حسب Yufei Wang (171069)

"…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …"

PERCOM, an unbiased and easily-accessible protein-centric analysis workflow. حسب Brian Foo (19273132)

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

Data Sheet 1_The impact of cell density variations on nanoparticle uptake across bioprinted A549 gradients.docx حسب Luigi Di Stolfo (21216599)

"…This inverse relationship correlated with greater average cell surface area in lower-density regions, while differences in the proliferation rates of the A549 cells at varying densities did not significantly impact uptake, did not significantly impact uptake.…"

Table 2_Quantitative evaluation of IVL: based on the tunica media gypsum calcification model and a prospective animal study.doc حسب Zongwei Liu (3133743)

Table 1_Quantitative evaluation of IVL: based on the tunica media gypsum calcification model and a prospective animal study.doc حسب Zongwei Liu (3133743)

Identification of a Novel Virulence Factor in <i>Klebsiella pneumoniae</i> through CpxR-Dependent Transcriptional Activation حسب Runze Wang (21792959)

"…Among the genes exhibiting significantly decreased expression upon <i>cpxR</i> deletion<i>, </i>we identified a novel potential virulence factor KPHS_28080. …"

Data Sheet 1_Prophylactic administration of lecithinized superoxide dismutase for a murine model of oxaliplatin-induced myelosuppression.pdf حسب Mikako Shimoda (9519493)

"…Background<p>Oxaliplatin, in combination with 5-fluorouracil and leucovorin, is a standard treatment for colorectal cancer and shows high efficacy. …"

Image 1_BmElmo is a factor for inhibiting Autographa Californica nucleopolyhedrovirus infection in silkworm, Bombyx mori.tif حسب Zhi-sheng Wang (20981183)

"…AcMNPV replication increased significantly after BmElmo knockdown in BmN cells, and decreased significantly after BmElmo overexpression. …"

Overall model framework. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. …"