Results 161 to 170 of about 611,886 (273)

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

Advanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang, Yadong Yang, Yongsheng Wang, Guirui Yu   +3 more
wiley   +1 more source

A compact public key encryption with equality test for lattice in cloud computing. [PDF]

Sci Rep
He J, Ye Q, Yang Z, Wang S, Wang J.
europepmc   +1 more source

Sertoli Cell‐Derived Extracellular Vesicles Orchestrate Cadmium‐Induced Testicular Inflammation and Fibrosis

Advanced Science, EarlyView.
Environmental cadmium exposure disrupts testicular homeostasis through a novel intercellular communication axis. Stressed Sertoli cells release extracellular vesicles carrying damage‐associated molecular patterns and mitochondrial fragments, which activate macrophages via TLR4/NF‐κB signaling.
Jianfeng Ma, Mailin Gan, Shuang Liang, Siyu Chen, Ziling Hao, Yiting Yang, Jiawei Lu, Qihang Wu, Yuqian Shi, Lijun Sun, Jiaxin Li, Saihao Wang, Yan Wang, Xiaofeng Zhou, Lei Chen, Ye Zhao, Li Zhu, Linyuan Shen   +17 more
wiley   +1 more source

Correction: Sustainability in construction economics as a barrier to cloud computing adoption in small-scale Building projects. [PDF]

Sci Rep
Wang Z, Veniaminovna Kalugina O, Vladimirovna Volichenko O, Khalil I, Isleem HF.   +4 more
europepmc   +1 more source

Nanoscale Covalent Organic Framework Confinement Enables Ultratough and Hyperelastic Hydrogels Applied as High‐Performance Electrolytes

Advanced Science, EarlyView.
Confinement by nanoscale covalent organic frameworks reinforces hydrogels, imparting exceptional mechanical strength and ionic conductivity for high‐performance electrolyte applications. ABSTRACT Hydrogels are widely applied in various fields, including energy storage and flexible electronics. However, their mechanical properties often fail to meet the
Peiyao Yan, Wei Zhao, Hao Wang, Lu Wu, Yedong Ma, Binting Huang, Hantao Xu, Xueyan Liu, Siqi Liu, Xinyu Dong, Xiaoyang Zhang, Wei Zhai, Weiwei Zhang, Lin Xu, Dan Zhao, Chaobin He   +15 more
wiley   +1 more source

An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing. [PDF]

Sensors (Basel)
Cui M, Wang Y.
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises. [PDF]

Sci Rep
Yin X, Zhang X, Pei L, Hu R, Ye K, Cai K.   +5 more
europepmc   +1 more source

Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease

Advanced Science, EarlyView.
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang, Yuting Liu, Shufan Jiang, Zilin Fang, Mengda Jiang, Xiaofeng Tao, Tianyi Zhu, Jipeng Li, Sijie Fang, Xuefei Song, Yinwei Li, Jing Sun, Chuanjun Tong, Zhengrun Gao, Huifang Zhou, Xianqun Fan   +15 more
wiley   +1 more source

Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models. [PDF]

PLoS One
Sanjalawe Y, Fraihat S, Al-E'mari S, Abualhaj M, Makhadmeh S, Alzubi E.   +5 more
europepmc   +1 more source