Are blood flow and blood volume predictors of localized photosensitizer accumulation in the brain? by Tina Saeidi, Warren D. Foltz, W. Jeffrey Zabel, Michael.J. Daly, I. Alex Vitkin, Margarete K. Akens, Lothar Lilge

“…Conclusion: These findings highlight that MR perfusion metrics alone are insufficient to predict spatial [PS] in solid brain tumours for PDT pre-treatment planning.…”
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Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images by Shuangxian An, Leyi Zhang, Xia Li, Guozhuang Zhang, Peizhe Li, Ke Zhao, Hua Ma, Zhiyang Lian

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Polyphase deformation and control of structural position on lineament distribution in a pop-up fault-propagation fold: Inferences from structural and lineament analysis of the Kamb... by Aijaz Ali Halepoto, Muhammad Hassan Agheem, Shabeer Ahmed, Surriya Bibi Ahmedani, Rafique Ahmed Lashari

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Exploring self-experience practices in dementia care: A scoping review. by Janina Wittmann, Anja Bieber, Joanne Carroll, Kealan Forristal, Louise Hopper, Niels Janssen, Gabriele Meyer, Marianna Riello, Marjolein de Vugt, Dorothee Bauernschmidt

“…We identified passive, interactive, immersive, and multicomponent self-experience interventions in dementia education and training. Learning outcomes based on Kirkpatrick's model were fairly distributed across all identified modalities. …”
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Neuromorphic imaging cytometry on human blood cells by Ziyao Zhang, Haoxiang Yang, Jiayin Li, Shin Wei Chong, Jason K Eshraghian, Ken-Tye Yong, Daniele Vigolo, Helen M McGuire, Omid Kavehei

“…The proposed architecture has achieved a promising performance of 97% accuracy and F1 score with a significant reduction in computation requirements. Combining the data sparsity in neuromorphic imaging with a lightweight DL model and operation platform can enable next-generation, AI-driven cytometry to deliver point-of-care diagnostic and research solutions.…”
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China’s cultivated land threshold from the perspective of food security by ZHAO Xiaoyu, SUN Chunqiang, CUI Rongguo, CHEN Jing, ZHANG Xiaoyu, CAO Tingyu, LI Chao

“…Furthermore, the minimum demand of China’s cultivated land in 2035 and 2050 was predicted based on the grain yield per unit cultivated area and population change. …”
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The Relationships Between Vegetation Changes and Groundwater Table Depths for Woody Plants in the Sangong River Basin, Northwest China by Han Wu, Jie Bai, Junli Li, Ran Liu, Jin Zhao, Xuanlong Ma

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Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data by Guojin Pang, Lingzhen Meng, Xuejia Wang, Fei Liu, Mengyao Shu, Chunli Ma, Tao Che

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Integration of retinal and extraretinal information across eye movements. by Florian Ostendorf, Raymond J Dolan

“…For successful integration into a coherent representation, the visuomotor system needs to deal with these self-induced perceptual changes and distinguish them from external motion. Forward models are one way to solve this problem where the brain uses internal monitoring signals associated with oculomotor commands to predict the visual consequences of corresponding eye movements during active exploration. …”
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network by Qinghao Zhang, Miao Ye, Xiaofang Deng

“…First, the temporal features and modal correlation features extracted from each sensor node are fused into one vector representation, then it is further aggregated with the spatial features represented the spatial position relationship of the nodes; finally,the current time-series data of WSN nodes are predicted, and abnormal states are identified according to the fusion features. …”
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Error Quantification of Gaussian Process Regression for Extracting Eulerian Velocity Fields from Ocean Drifters by Junfei Xia, Mohamed Iskandarani, Rafael C. Gonçalves, Tamay Özgökmen

“…Using six metrics, GPR predictions are evaluated on a double-gyre model and a Navy Coastal Ocean Model (NCOM). …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

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Meeting the WHO physical activity guidelines and health-related quality of life of single parents in Ghana by Obed Jones Owusu-Sarpong, Kabila Abass, Solomon Osei-Tutu, André Hajek, Razak M. Gyasi, Razak M. Gyasi

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Bridging the divide: how agricultural technological innovation narrows the urban–rural income gap in China by Ruofan Liao, Yuheng Wei, Yu Bai, Jianxu Liu

“…This study investigates the comprehensive impact mechanism of agricultural technological innovation on urban-rural income disparities through a multi-dimensional analytical framework integrating productivity enhancement, structural transformation, and spatial heterogeneity effects.MethodsUsing panel data from 280 Chinese cities during 2008 - 2021, we employ two-way fixed effects panel regression models to examine the relationship between agricultural technological innovation (measured by patent applications) and urban–rural income gaps (measured by the Theil index). …”
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Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

“…[Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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Pretreatment PET dissemination features as biomarkers for survival outcomes in melanoma patients treated with immune-checkpoint inhibitors by Hanna Saadani, Else A. Aalbersberg, Mutamba T. Kayembe, John B.A.G. Haanen, Otto S. Hoekstra, Ronald Boellaard, Marcel P.M. Stokkel

“…The validated dissemination model, clinical model and combination model showed similar low discriminative ability with an Area Under the Curve (AUC) of 0.61–0.66 for OS and an AUC of 0.59–0.66 for PFS. …”
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Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology-Genomic Integration Analysis. by Rachael Natrajan, Heba Sailem, Faraz K Mardakheh, Mar Arias Garcia, Christopher J Tape, Mitch Dowsett, Chris Bakal, Yinyin Yuan

“…Limitations of this study include the number of cell types included in the model, that EDI has prognostic value only in grade 3 tumors, and that our spatial heterogeneity measure was dependent on spatial scale and tumor size.…”
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Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis by Alemneh Mekuriaw Liyew, Eyob Alemayehu Gebreyohannes, Andre Python, Archie C. A. Clements, Beth Gilmour, Peter W. Gething, Punam Amratia, Kefyalew Addis Alene

“…Bayesian geostatistical modelling was used to predict TB prevalence across Africa, and results were aggregated to estimate number of TB cases at national and subnational levels. …”
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Infection prevention and control measures during the COVID-19 pandemic and airborne tuberculosis transmission during primary care visits in South Africa by Nicolas Banholzer, Keren Middelkoop, Remo Schmutz, Juane Leukes, Kathrin Zürcher, Matthias Egger, Robin Wood, Lukas Fenner

“…These changes corresponded with a reduction in modeled Mtb transmission risk (0.04% vs 1.36%; P = 0.046). …”
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Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China by Chaowei Wu, Yeling Wu, Lu Qiao

“…Taking Shanghai, China as the research area, we adopted the kernel density estimation and spatial autocorrelation analysis to explore the spatial distribution characteristics of AEDs. …”
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