Search alternatives:
linear decrease » linear increase (Expand Search)
lower decrease » larger decrease (Expand Search), we decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
linear decrease » linear increase (Expand Search)
lower decrease » larger decrease (Expand Search), we decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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2141
Changes in the hemoglobin.
Published 2025“…The rate of delayed chemotherapy in the experimental group was lower than that in the control group (2.3% vs. 29.5%), P = 0.001; the rate of interruption of radiotherapy in the experimental group was lower than that in the control group (2.3% vs.27.3%), P = 0.003; 4. …”
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2142
WBC and ANC on day 7 post-chemotherapy.
Published 2025“…The rate of delayed chemotherapy in the experimental group was lower than that in the control group (2.3% vs. 29.5%), P = 0.001; the rate of interruption of radiotherapy in the experimental group was lower than that in the control group (2.3% vs.27.3%), P = 0.003; 4. …”
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2143
General clinical data of 88 patients with NPC.
Published 2025“…The rate of delayed chemotherapy in the experimental group was lower than that in the control group (2.3% vs. 29.5%), P = 0.001; the rate of interruption of radiotherapy in the experimental group was lower than that in the control group (2.3% vs.27.3%), P = 0.003; 4. …”
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2144
CONSORT participant flow diagram.
Published 2025“…The rate of delayed chemotherapy in the experimental group was lower than that in the control group (2.3% vs. 29.5%), P = 0.001; the rate of interruption of radiotherapy in the experimental group was lower than that in the control group (2.3% vs.27.3%), P = 0.003; 4. …”
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2145
S4 File -
Published 2025“…The rate of delayed chemotherapy in the experimental group was lower than that in the control group (2.3% vs. 29.5%), P = 0.001; the rate of interruption of radiotherapy in the experimental group was lower than that in the control group (2.3% vs.27.3%), P = 0.003; 4. …”
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2146
SPSS data.
Published 2025“…</p><p>Conclusion</p><p>Stigma remains a pervasive condition closely related to increased psychological suffering, decreased self-esteem and lower tendencies to seek help. …”
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2147
Green Hydrogen Economy: Scenarios versus Technologies
Published 2025“…Historical trends in LCOH indicate that lower off-grid renewable electricity costs are pivotal in decreasing production expenses, whereas electrolysis efficiencies remain relatively constant. …”
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2148
Flowchart of the screening process.
Published 2025“…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.…”
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2149
Result of the AMSTAR-2 assessments.
Published 2025“…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.…”
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2150
Characteristics of included reviews.
Published 2025“…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.…”
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2151
Result of the PRISMA assessments.
Published 2025“…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.…”
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2152
Result of the ROBIS assessments.
Published 2025“…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.…”
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2153
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2154
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2155
Benchmark regression results.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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2156
Heterogeneity test.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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2157
S1 File -
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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2158
The robustness test.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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2159
Mechanistic testing.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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2160
Descriptive statistics of variables.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”