The influence of hip joint rotation of a physical assistant robot on curving motion by Yosuke Kuboki (9762694)

Table_4_COVID-19 vaccine uptake, hesitancy and clinical effects on patients with Takayasu’s arteritis: A web-based questionnaire survey from a large cohort.xlsx by Xiufang Kong (3821644)

“…Immune-related parameters of 17 patients indicated decreases in IgA and IgM after vaccination (p < 0.05). …”

Spike protein expression and spike-specific cellular and humoral responses in Ad26 immunized mice. by Sonia Marquez-Martinez (18389213)

“…</b> Experimental design. Balb/c mice (n = 10/ study group; n = 4/ negative control group) were dosed I.M. with a total of 10¹⁰ VP/mouse, with decreasing concentrations of Ad26.S.PP-PR and increasing concentrations of Ad26.Empty. …”

Image_1_Clinical Characteristics, Outcomes, and Risk Factors of Disease Severity in Patients With COVID-19 and With a History of Cerebrovascular Disease in Wuhan, China: A Retrospe... by Mengzhen Li (4709797)

“…Besides, patients with CVD, either with decreased lymphocyte count (OR 9.192, 95% CI, 1.410–59.902, P = 0.020) or increased blood urea nitrogen (OR 5.916, 95% CI, 1.072–32.641, P = 0.041), had a higher risk of developing severe events during hospitalization.…”

Fig 3 - by Jonathan de Fallois (6640505)

“…<p>a Kaplan-Meier survival analysis regarding composite endpoint (all-cause mortality, decrease of eGFR by >50% and ESKD) ESKD = end stage kidney disease. b Kaplan-Meier survival analysis regarding all-cause mortality end-stage kidney disease. c Kaplan-Meier survival analysis regarding >50% decrease from baseline eGFR. d Kaplan-Meier survival analysis regarding ESKD. e Cubic spline curve analysis reflecting adjusted hazard ratios and UPCR UPCR urine protein creatinine ratio.…”

A prospective study of the factors associated with life quality during medical internship by Yu-Hsuan Lin (64104)

“…We used multivariate regression analysis to examine the associated factors of QOL.…”

Non-dairy cashew nut milk as a matrix to deliver probiotic bacteria by Laura Maria BRUNO (8141640)

Data_Sheet_1_The Role of Acupuncture in the Management of Insomnia as a Major or Residual Symptom Among Patients With Active or Previous Depression: A Systematic Review and Meta-An... by Fei-Yi Zhao (10887219)

“…</p>Results<p>Twenty-one studies involving 1,571 participants were analyzed. For insomnia as a major symptom of active depression, meta-analyses suggested that acupuncture significantly reduced the global scores of both the Pittsburg Sleep Quality Index (PSQI) [MD = −3.12, 95% CI (−5.16, −1.08), p < 0.01] and Hamilton Depression Scale (HAMD) [SMD = −2.67, 95% CI (−3.51, −1.84), p < 0.01], in comparison with placebo-acupuncture. …”

Impact on child acute malnutrition of integrating a preventive nutrition package into facility-based screening for acute malnutrition during well-baby consultation: A cluster-rando... by Elodie Becquey (3822208)

“…In Burkina Faso, monthly screening for AM of children <2 years of age is conducted during well-baby consultations (consultation du nourrisson sain [CNS]) at health centers. We hypothesized that the integration of a preventive package including age-appropriate behavior change communication (BCC) on nutrition, health, and hygiene practices and a monthly supply of small-quantity lipid-based nutrient supplements (SQ-LNSs) to the monthly screening would increase AM screening and treatment coverage and decrease the incidence and prevalence of AM.…”

Effects of a clinical medication review focused on personal goals, quality of life, and health problems in older persons with polypharmacy: A randomised controlled trial (DREAMeR-s... by Sanne Verdoorn (6680822)

“…Over 6 months, in the intervention group, HR-QoL measured with EQ-VAS increased by 3.4 points (95% confidence interval [CI] 0.94 to 5.8; <i>p</i> = 0.006), and the number of health problems with impact on daily life decreased by 12% (difference at 6 months −0.34; 95% CI −0.62 to −0.044; <i>p</i> = 0.024) as compared with the control group. …”

Effect of curcumin on LPS during heat stress and heatstroke in rats. by Xinyue Yang (629144)

Fig 3 - by Xinyue Yang (629144)

A Statistically Identified Structural Vector Autoregression with Endogenously Switching Volatility Regime by Savi Virolainen (18009714)

Data_Sheet_4_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_3_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_7_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_6_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_2_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_1_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.pdf... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”

Data_Sheet_5_Deployment-related quarantining—a risk or resilience factor for German military service members? A prospective analysis during the third–fifth waves of COVID-19.PDF... by Antje H. Bühler (17624310)

“…</p>Results<p>Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. …”