Image 3_Global, regional, and national burden of ischemic stroke in older adults (≥60 years) from 1990 to 2021 and projections to 2030.jpeg by Shuting Hua (21264785)

“…</p>Results<p>From 1990 to 2021, despite global population growth among older adults, the age-standardized incidence, age-standardized prevalence, age-standardized mortality, and age-standardized disability-adjusted life years of ischemic stroke demonstrated an overall declining trend (all EAPCs were negative). The decline in disease burden was most pronounced in high-SDI regions, while low-SDI regions faced a significantly higher disease burden and exhibited notable regional disparities. …”

Image 2_Global, regional, and national burden of ischemic stroke in older adults (≥60 years) from 1990 to 2021 and projections to 2030.jpeg by Shuting Hua (21264785)

“…</p>Results<p>From 1990 to 2021, despite global population growth among older adults, the age-standardized incidence, age-standardized prevalence, age-standardized mortality, and age-standardized disability-adjusted life years of ischemic stroke demonstrated an overall declining trend (all EAPCs were negative). The decline in disease burden was most pronounced in high-SDI regions, while low-SDI regions faced a significantly higher disease burden and exhibited notable regional disparities. …”

Image 1_Global, regional, and national burden of ischemic stroke in older adults (≥60 years) from 1990 to 2021 and projections to 2030.jpeg by Shuting Hua (21264785)

“…</p>Results<p>From 1990 to 2021, despite global population growth among older adults, the age-standardized incidence, age-standardized prevalence, age-standardized mortality, and age-standardized disability-adjusted life years of ischemic stroke demonstrated an overall declining trend (all EAPCs were negative). The decline in disease burden was most pronounced in high-SDI regions, while low-SDI regions faced a significantly higher disease burden and exhibited notable regional disparities. …”

Table 1_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 3_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 5_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 9_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 4_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 8_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 1_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 7_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Table 2_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 6_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Image 2_Slavs in the closet: computational genomic analysis reveals cryptic slavic signatures in the Avar Khaganate and their contribution to medieval Croatian population formation... by Todor Chobanov (22288636)

“…Through systematic evaluation of all principal components (PC1-20), we identified PC9 as a reliable indicator of Slavic ancestry within European ancient DNA samples when combined with PC4 and PC3. …”

Table_2_Diffusion and functional MRI reveal microstructural and network connectivity impairment in adult-onset neuronal intranuclear inclusion disease.docx by Rui Zhu (305217)

“…</p>Results<p>Compared with the HCs, NIID patients showed reduced mean kurtosis (MK), radial kurtosis (RK), axial kurtosis (AK), and kurtosis fractional anisotropy (KFA) values in deep gray matter regions. Significantly decreased MK, RK, AK, KFA and fractional anisotropy (FA), and increased mean diffusivity (MD) values were observed in extensive white matter fiber tracts. …”

Data_Sheet_1_Diffusion and functional MRI reveal microstructural and network connectivity impairment in adult-onset neuronal intranuclear inclusion disease.docx by Rui Zhu (305217)

“…</p>Results<p>Compared with the HCs, NIID patients showed reduced mean kurtosis (MK), radial kurtosis (RK), axial kurtosis (AK), and kurtosis fractional anisotropy (KFA) values in deep gray matter regions. Significantly decreased MK, RK, AK, KFA and fractional anisotropy (FA), and increased mean diffusivity (MD) values were observed in extensive white matter fiber tracts. …”

Table_1_Diffusion and functional MRI reveal microstructural and network connectivity impairment in adult-onset neuronal intranuclear inclusion disease.docx by Rui Zhu (305217)

“…</p>Results<p>Compared with the HCs, NIID patients showed reduced mean kurtosis (MK), radial kurtosis (RK), axial kurtosis (AK), and kurtosis fractional anisotropy (KFA) values in deep gray matter regions. Significantly decreased MK, RK, AK, KFA and fractional anisotropy (FA), and increased mean diffusivity (MD) values were observed in extensive white matter fiber tracts. …”

Image 1_Changes in insulin resistance and other metabolic parameters during home quarantine amid the COVID-19 pandemic among the general population.jpeg by Yuting Zhang (337082)

“…Compared to before home quarantine, the TyG (6.80 ± 0.58 vs. 6.83 ± 0.58, p < 0.001), TyG-BMI (158.30 ± 31.92 vs. 159.48 ± 31.73, p < 0.001), and TyG-WC (533.53 ± 103.15 vs. 535.78 ± 103.65, p = 0.039) increased significantly after the home quarantine. Besides, glucose, lymphocyte, and platelet decreased significantly while BMI, systolic blood pressure, diastolic blood pressure, pulse, total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, uric acid, red blood cell, and monocyte also increased significantly after home quarantine (all p < 0.05).…”

Table 1_WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer.docx by Jing Lv (128179)

“…In q-PCR experiments conducted on tumor tissues and adjacent non-cancerous tissues from prostate cancer patients, it was found that: compared to the adjacent non-cancerous tissues, the expression level of ARHGEF38 in prostate cancer tumor tissues significantly increased, while the expression levels of SLC14A1, NEFH, MSMB, KRT23, and KRT15 significantly decreased. …”

Image 1_WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer.tif by Jing Lv (128179)

“…In q-PCR experiments conducted on tumor tissues and adjacent non-cancerous tissues from prostate cancer patients, it was found that: compared to the adjacent non-cancerous tissues, the expression level of ARHGEF38 in prostate cancer tumor tissues significantly increased, while the expression levels of SLC14A1, NEFH, MSMB, KRT23, and KRT15 significantly decreased. …”