Flowchart of the screening process. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the AMSTAR-2 assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Characteristics of included reviews. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the PRISMA assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the ROBIS assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

The presence of the gRNA targeting <i>OPG147</i> has no effect on transcription of viral entry and early genes. by Xue-Mei Yi (18851202)

Sox2 is upstream of <i>Atoh1</i> and <i>Huwe1</i> in embryonic development and <i>Huwe1</i> knockdown results in hair cell generation from dividing supporting cells. by Yen-Fu Cheng (5819855)

vOPG147-deficiency promotes innate immune response to VACV. by Xue-Mei Yi (18851202)

OPG147 is associated with MITA. by Xue-Mei Yi (18851202)

OPG147-deficiency promotes innate immune response to MPXV. by Xue-Mei Yi (18851202)

OPG147 inhibits ISGylation, dimerization and oligomerization of MITA. by Xue-Mei Yi (18851202)

PCA-CGAN model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

MIT-BIH dataset proportion analysis chart. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

Wavelet transform preprocessing results. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

PCAECG_GAN. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

MIT dataset expansion quantities and Proportions. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

Experimental hardware and software environment. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

PCA-CGAN K-fold experiment table. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

Classification model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

MIT-BIH expanded dataset proportion chart. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”