Baseline characteristics of the participants. by Junichi Kushioka (12236447)

“…<div><p>Locomotive Syndrome (LS) is defined by decreased walking and standing abilities due to musculoskeletal issues. …”

Internal validation by cross-validation. by Junichi Kushioka (12236447)

“…<div><p>Locomotive Syndrome (LS) is defined by decreased walking and standing abilities due to musculoskeletal issues. …”

We compared the Fugl-Meyer (FMA) clinical assessment scores for individuals with stroke with their performance for each outcome measure. by Devin Sean Austin (20285144)

Data for “Impact of multiscale heterogeneous sediments and boundary conditions on dispersivity spatial variations” by Ziqi Ma (12099365)

Time evolution trend of green finance level. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Green finance index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Temporal evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

CCD-GFEE driver index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

CCD-GFEE evaluation criteria. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Ecological efficiency index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Conceptual model. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Exploring cardiac vector propagation in acute myocardial infarction: a spatial velocity perspective by Tania Ghosal (20445665)

“…</p> <p>Decreased SV (12–25%, <i>p</i> = 0.02) and SD (10–26%, <i>p</i> = 0.02) and altered spatial propagation patterns of ventricular vectors in AMI were recorded, with changes in specific axes based on infarct location. …”

Environmental changes and human activities influence the spatial patterns of plant diversity in Eastern Eurasian Steppe by Danyu Wang (12380464)

“…The Shannon-Wiener index shows higher values at the transition zone between the meadow steppes and typical steppes where hydrothermal conditions are moderate, but the Simpson index and Pielou's evenness index exhibit relatively small spatial variation across the entire study area. The above results can serve as foundational information to assist researchers in further exploring the grassland ecosystem's responses to climate change and human activities at the landscape scale, providing significant guidance for the ecological restoration and management of degraded grasslands.…”

Image 2_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Background<p>Spread through air spaces (STAS) represents a novel invasion mechanism in adenocarcinoma that considerably influences lung cancer clinical outcomes; however, studies of its mechanisms at the spatial level are lacking.</p>Methods<p>We used the NanoString GeoMx digital spatial profiling (DSP) technology to conduct a spatial transcriptomic analysis of surgically resected tissues from non-small-cell lung cancer (NSCLC) patients with or without STAS.…”

Image 4_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Background<p>Spread through air spaces (STAS) represents a novel invasion mechanism in adenocarcinoma that considerably influences lung cancer clinical outcomes; however, studies of its mechanisms at the spatial level are lacking.</p>Methods<p>We used the NanoString GeoMx digital spatial profiling (DSP) technology to conduct a spatial transcriptomic analysis of surgically resected tissues from non-small-cell lung cancer (NSCLC) patients with or without STAS.…”

Data Sheet 1_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.zip by Wenhao Wang (515852)

“…Background<p>Spread through air spaces (STAS) represents a novel invasion mechanism in adenocarcinoma that considerably influences lung cancer clinical outcomes; however, studies of its mechanisms at the spatial level are lacking.</p>Methods<p>We used the NanoString GeoMx digital spatial profiling (DSP) technology to conduct a spatial transcriptomic analysis of surgically resected tissues from non-small-cell lung cancer (NSCLC) patients with or without STAS.…”

Image 1_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Background<p>Spread through air spaces (STAS) represents a novel invasion mechanism in adenocarcinoma that considerably influences lung cancer clinical outcomes; however, studies of its mechanisms at the spatial level are lacking.</p>Methods<p>We used the NanoString GeoMx digital spatial profiling (DSP) technology to conduct a spatial transcriptomic analysis of surgically resected tissues from non-small-cell lung cancer (NSCLC) patients with or without STAS.…”

Image 3_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Background<p>Spread through air spaces (STAS) represents a novel invasion mechanism in adenocarcinoma that considerably influences lung cancer clinical outcomes; however, studies of its mechanisms at the spatial level are lacking.</p>Methods<p>We used the NanoString GeoMx digital spatial profiling (DSP) technology to conduct a spatial transcriptomic analysis of surgically resected tissues from non-small-cell lung cancer (NSCLC) patients with or without STAS.…”

Data Sheet 1_Temporal and spatial variability of S-wave and coda attenuation in the Central Apennines, Italy.docx by Simona Gabrielli (11473572)

“…Our results showed a 13% variation in S-wave attenuation between the pre-sequence (2011–2016) and the sequence phase, with a significant 37% decrease in Q (increase in attenuation) detected during the Visso period. …”