Table 1_External and internal forcings controlled the precipitation patterns in eastern China over the past millennium.xlsx by Hai Li (254910)

“…Our records indicate that the warm (cold) phase of the Atlantic Multidecadal Variability significantly increases (decreases) summer precipitation in North China through atmosphere-ocean feedback and circum-global teleconnection. …”

Table 1_Microbial indoor air pollution in Delhi Metropolitan City is attributable to severe respiratory and general health effects among residents.docx by Pradeep Kumar (310858)

“…This study isolated, characterized, and assessed microbial indoor air quality (bioaerosols) using multiproxy approaches and correlated findings with associated health effects. The spatial variation of bacterial aerosols showed irregular patterns, increasing from winter to summer and decreasing in fall; fungal aerosols consistently increased from winter to fall. …”

Detection network structure with IRAU [34]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Ablation experiments of various block. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Kappa coefficients for different algorithms. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Data Sheet 1_Gait adaptations in step length and push-off force during walking with functional asymmetry.pdf by Tomislav Baček (9138221)

“…Results reveal that functional asymmetry disproportionately impacts propulsion, with constrained-leg force decreasing significantly at higher speed, while step length symmetry remains stable. …”

The structure of ASPP+ block. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

The structure of attention gate block [31]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Data Sheet 1_Systemic lipid and glucose modulation differentially affects cognitive function and neuroinflammation in a mouse model of Alzheimer’s disease.xlsx by Demos Kynigopoulos (12420457)

“…</p>Results<p>Alirocumab significantly improved spatial working memory, restored hippocampal long-term potentiation, and normalized synaptophysin expression. …”

Data for: Drought and temperature stresses impact pollen production and autonomous selfing in a California wildflower, Collinsia heterophylla by H. S. Arathi (22077395)

“…In plants experiencing abiotic stress, an increase in autonomous self-pollination was facilitated through a compromise in herkogamy, a sexual interference mechanism to promote cross-pollination. Spatial separation between stigma and anther, a measure of herkogamy, was zero or negative in stressed plants. …”

DSC block and its application network structure. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Data Sheet 1_Diethyl butylmalonate attenuates cognitive deficits and depression in 5×FAD mice.docx by Lai Yuan (20136422)

“…Novel object recognition, Y-maze spatial memory, Morris water maze and nest building tests were used to evaluate cognitive function. …”

The structure of multi-scale residual block [30]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces by Reza Arabsheibani (14244716)

“…Our results show that RL agents successfully learn to navigate even with incomplete instructions, significantly outperforming random agents. Agents trained on diverse environments generalize well to novel settings, although performance decreases with higher environmental complexity and finer-grained instruction grammars when instructions are incomplete. …”

The structure of IRAU and Res2Net+ block [22]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Supplementary file 1_Systemic lipid and glucose modulation differentially affects cognitive function and neuroinflammation in a mouse model of Alzheimer’s disease.docx by Demos Kynigopoulos (12420457)

“…</p>Results<p>Alirocumab significantly improved spatial working memory, restored hippocampal long-term potentiation, and normalized synaptophysin expression. …”

Data Sheet 1_BMP9 induces postnatal zonal stratification of immature articular cartilage through reconfiguration of the existing collagen framework.pdf by Miles Anderson-Watters (20626604)

“…In explants exposed to BMP9, collagen fibrils underwent angular displacement from 19° to 78° with respect to the surface, cell density decreased 1.77-fold, and chondrons were significantly larger. …”

Supplementary file 1_Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis.docx by Yuzhe Tan (22274731)

“…The incorporation of multidimensional features significantly enhanced the performance of all classification models: under multidimensional feature input, RF, SVM, DT, and KNN achieved accuracies of 96.93%, 92.44%, 90.29%, and 88.98%, respectively—all significantly outperforming models using single‐dimensional features.…”

DATA.xlsx by Zhichun Yang (21466757)

“…These findings demonstrate that N addition pathway significantly alters both the magnitude and spatial distribution of N retention in forest ecosystems, with canopy-level processes enhancing the stability of N in trees and deeper soil layers.…”

Global maximum GPP from 2001-2018 by Xu (7493744)

“…</p><p><br></p><p dir="ltr">Accurate estimation of the spatial-temporal variation of the maximum gross primary productivity (GPPmax) of vegetation is of great significance for predicting carbon fluxes and vegetation-climate feedback. …”