Data_Sheet_1_Compulsive sexual behavior, sexual functioning problems, and their linkages to substance use among German medical students: exploring the role of sex and trauma exposu... by Dennis Jepsen (19855353)

“…Substance use is prevalent among medical students (MS) and is often considered a maladaptive coping strategy for stress, as well as a risk factor for mental health issues. …”

Table 2_Geochronology and metamorphic evolution of the biotite-plagioclase gneisses from the Luanxian Group in eastern Hebei, North China Craton.xlsx by Daji Zu (21803648)

“…Post-peak decompression-cooling is defined by decreasing X_Ti from core to rim in matrix biotite, collectively defining a clockwise P–T path. …”

Supplementary Material for: Impairment of Renal Function in Hermansky-Pudlak Syndrome by Yokoyama T. (4606381)

“…Calculated eGFR of adult patients with different HPS types differed significantly, and calculated eGFR of pediatric and adult patients with BLOC-3 disorders was significantly lower than that of patients with BLOC-2 disorders. Linear regression analysis showed that renal function progressively decreases with age in patients with BLOC-3 or BLOC-2 disorders, but the rate of decline was more rapid in patients with BLOC-3 disorders compared to patients with BLOC-2 disorders. …”

Accommodating talker variability in noise (Zhang & Peng, 2025) by Kaile Zhang (21763791)

“…<i>Journal of Speech, Language, and Hearing Research,</i><i> </i><i>68</i>(9), 4188–4204. <a href="https://doi.org/10.1044/2025_JSLHR-24-00511" rel="noreferrer" target="_blank">https://doi.org/10.1044/2025_JSLHR-24-00511</a></p>…”

Demographic characteristics of livebirths. by Jackie K. Patterson (13878632)

“…We collected observational data during a convenience sample of resuscitations and extracted clinical data from the medical record for all participants. …”

Table 1_Geochronology and metamorphic evolution of the biotite-plagioclase gneisses from the Luanxian Group in eastern Hebei, North China Craton.xlsx by Daji Zu (21803648)

“…Post-peak decompression-cooling is defined by decreasing X_Ti from core to rim in matrix biotite, collectively defining a clockwise P–T path. …”

Image 7_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Image 2_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Image 3_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Image 4_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Image 5_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Image 6_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”

Octβ2R and cAMP underlie the Brp compartmental heterogeneity. by Hongyang Wu (8856740)

“…Pseudo color range: −1.2 to 1.2. Mann–Whitney <i>U</i>-test. Ctrl (<i>n</i> = 10 brains) vs. …”

Table 2_Genomic characterization and antibiotic susceptibility of biofilm-forming Borrelia afzelii and Borrelia garinii from patients with erythema migrans.pdf by Giorgia Fabrizio (19022288)

“…Core genome analysis showed 38.9% of genes were shared between B. afzelii and B. garinii, decreasing to 26.1% with B. burgdorferi. The cloud genome expanded from 34.4% to 53.4% with the addition of B. burgdorferi. …”

Image 8_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”

Image 7_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”

Data Sheet 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.zip by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”

Image 4_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”

Image 3_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”

Image 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”