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103. Supplementary Figure S2 from Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM)

104. Supplementary Methods S1 from Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM)

105. Supplementary Table S3 from Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM)

106. Data from Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM)

110. The Integration of Large-Scale Language Models Into Intelligent Adjudication: Justification Rules and Implementation Pathways

111. Design and performance study of gas–liquid separation–mixing device for electric submersible pump in high-gas-content oil wells.

112. Liquid–solid two-phase flow and separation behavior in a novel cyclone separator.

117. Development and validation of an individualized and weighted Myeloma Prognostic Score System (MPSS) in patients with newly diagnosed multiple myeloma

120. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM)

122. Genome-Wide Identification and Functional Analyses of the 5-O-Glucosyltransferase (5gt) Family Reveal its Potential Roles in Anthocyanidin Diglucosides Synthesis of Grape Skins with Vitis Amurensis Pedigree

124. Longitudinal genetically detectable minimal residual disease by fluorescence in situ hybridization confers a poor prognosis in myeloma

131. Depolymerization of corn cobs using the CO2/lithium bromide trihydrate system for low molecular weight lignin with high antioxidant activity.

132. Synthesis of rhodium catalyst [Rh(cod)(TTT)2] with amino group ligand and its catalytic performance for phenylacetylene polymerization.

136. Early relapse within 18 months (ER18) is a powerful dynamic predictor for prognosis and could revise static risk distribution in multiple myeloma

139. Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

140. FIGURE 1 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

141. TABLE 1 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

142. Table S2 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

143. TABLE 2 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

144. Figure S1 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

145. FIGURE 4 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

146. FIGURE 2 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

147. FIGURE 3 from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

148. Data from Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment

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