Jiong Zhu

Research on Key Standards for Collaborative Interaction Between Buildings and Electric Vehicles

Jiong Zhu, Difan Qiu, Yaohua Hu, Chengsi Xu et autres

To support the energy system transformation under the "dual carbon" goals, this paper focuses on the key standard research of building and electric vehicle synergy. By analyzing the synergy scenarios of building loads, renewable energy, energy storage systems, and electric vehicles, it …

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Composition, Structure, and Function of Milk Fat Globules: Thermal and Non‐Thermal Processing Effects and Their Implication in Infant Nutrition Requirements

Huijuan Yang, Haifeng Wang, Feijia Xu, Danping Jin et autres

Human milk represents an indispensable nutritional substrate for neonates. Milk fat globules (MFGs) constitute its fundamental structural entities, providing primary metabolic energy and immunomodulatory bioactive constituents. In instances of suboptimal maternal lactogenesis or contraindications to breastfeeding, infant formulae derived from diverse mammalian …

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Assimilating UAV observations and crop model simulations for dynamic estimation of crop water stress

Qi Liu, Xiaolong Hu, Yiqiang Zhang, Liangsheng Shi et autres

Crop water stress (CWS) monitoring using UAV remote sensing has traditionally been limited to empirical models and specific growth stages, restricting dynamic, season-long assessment. This study proposes an integrated framework combining multispectral UAV observations with the SAFYE crop model via Ensemble Kalman …

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[Research on Classification of Medical Devices with Nanomaterials].

Qian Dong, Li Yi, Liyin Wen, Rui Liu et autres

The rapid development of nanomaterials has brought groundbreaking opportunities for high-quality innovation in medical devices, but it has also become a new challenge for regulatory authorities. How to scientifically and rationally evaluate the risks of medical device products with nanomaterials and establish …

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Estimation of sugarcane biomass from Sentinel-2 leaf area index using an improved SAFY model (SAFY-Sugar)

Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li et autres

Assimilating crop biophysical traits (e.g., Leaf area index, LAI) derived from remote sensing data into a crop growth model provides an effective way for monitoring spatiotemporal variability of crop biomass and yield. However, traditional complex crop growth models generally require extensive input …

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Learning Laplacian Positional Encodings for Heterophilous Graphs

Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra et autres

In this work, we theoretically demonstrate that current graph positional encodings (PEs) are not beneficial and could potentially hurt performance in tasks involving heterophilous graphs, where nodes that are close tend to have different labels. This limitation is critical as many real-world …

Measurements of branching fractions of $D^0\to K^- 3π^+2π^-$, $D^0\to K^- 2π^+π^-2π^0$ and $D^+\to K^- 3π^+π^-π^0$

BESIII Collaboration, M. N. Achasov, P. Adlarson, X. Ai et autres

Utilizing $7.9\,\rm fb^{-1}$ of $e^+e^-$ collision data taken with the BESIII detector at the center-of-mass energy of 3.773 GeV, we report the measurements of absolute branching fractions of the hadronic decays $D^0\to K^- 3π^+2π^-$, $D^0\to K^- 2π^+π^-2π^0$ and $D^+\to K^- 3π^+π^-π^0$. The …

Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations

Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li et autres

Accurate and timely winter wheat yield prediction is critical for effective agricultural management and food security. This study used the World Food Studies (WOFOST) model, a widely adopted crop growth simulation model, to dynamically simulate winter wheat yield under various growth scenarios …

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Fault Diagnosis Technology of Circuit Breaker Based on Multi-source Signal Data Fusion

Guliang Zhou, Shaohua Li, Song Zhang, Zicong Wang et autres

Correction to: Fault Diagnosis Technology of Circuit Breaker Based on Multi-source Signal Data Fusion

Guliang Zhou, Shaohua Li, Song Zhang, Zicong Wang et autres

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation

Jiong Zhu, Aishwarya Reganti, Edward W Huang, Charles Dickens et autres

Distributed graph neural network (GNN) training facilitates learning on massive graphs that surpass the storage and computational capabilities of a single machine. Traditional distributed frameworks strive for performance parity with centralized training by maximally recovering cross-instance node dependencies, relying either on inter-instance …

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People in relationally mobile cultures report higher well-being.

Liuqing Wei, Alexander Scott English, Thomas Talhelm, Yan Zhang et autres

In cultures with high relational mobility, relationships are free and flexible. People can make new friends easily, and they have the freedom to leave unsatisfying relationships. In cultures with low relational mobility, relationships are more fixed, and people have less freedom to …

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