40,518 research outputs found
sj-docx-1-sph-10.1177_19417381221121808 – Supplemental material for Are Current Prophylactic Programs Effective in Preventing Patellar Tendinopathy in Athletes and Recruits? A Meta-Analysis and Trial Sequential Analysis
No full textSupplemental material, sj-docx-1-sph-10.1177_19417381221121808 for Are Current Prophylactic Programs Effective in Preventing Patellar Tendinopathy in Athletes and Recruits? A Meta-Analysis and Trial Sequential Analysis by Shaowei Wang and Buwei Lyu in Sports Health: A Multidisciplinary Approach</p
A Study of the Classical Landscape at the Wang River Villa of Wang Wei
No full textThe landscape of Wang Wei's Wang River Villa is examined by reviewing the essays and papers written about the poetical collaboration, the “Wang River Collection.” The purpose of this paper is to clarify the meaning of villa architecture in China. The author expects that this research will contribute to a mutual understanding between cultures. The villa was a Utopia for Wang. On the other hand, he was a pious Buddhist and Buddhistic concepts are reflected in the landscape. I consider the features of the classical landscape of Xie Lingyun and "Chu Ci," as written in “The Collection,” a reflection of the Buddhistic concept. When considering what the classics meant to Wang Wei, it is apparent that his villa is a representation of the classical landscape. It is not an imitation of the classical landscape, but a unique and original creation of art by Wang.departmental bulletin pape
First person – Yihua Wang
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Yihua Wang is the first author on ‘Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively’, published in Journal of Cell Science. Yihua is a Lecturer in Biological Sciences at the University of Southampton, studying cell signalling in lung fibrosis and cancer, drug target validation and gene function analysis
NIR‐II Light Activated Photosensitizer with Aggregation‐Induced Emission for Precise and Efficient Two‐Photon Photodynamic Cancer Cell Ablation
No full text10.1002/adfm.202002546ADVANCED FUNCTIONAL MATERIAL
Hydrogen peroxide degradable conjugated polymer nanoparticles for fluorescence and photoacoustic bimodal imaging
No full text10.1039/c7cc09856aCHEMICAL COMMUNICATIONS54202518-252
NIR‐II Excitable Conjugated Polymer Dots with Bright NIR‐I Emission for Deep In Vivo Two‐Photon Brain Imaging Through Intact Skull
No full text10.1002/adfm.201808365ADVANCED FUNCTIONAL MATERIALS291
Improving Local Search for Minimum Weighted Connected Dominating Set Problem by Inner-Layer Local Search
No full textThe minimum weighted connected dominating set (MWCDS) problem is an important variant of connected dominating set problems with wide applications, especially in heterogenous networks and gene regulatory networks. In the paper, we develop a nested local search algorithm called NestedLS for solving MWCDS on classic benchmarks and massive graphs. In this local search framework, we propose two novel ideas to make it effective by utilizing previous search information. First, we design the restart based smoothing mechanism as a diversification method to escape from local optimal. Second, we propose a novel inner-layer local search method to enlarge the candidate removal set, which can be modelled as an optimized version of spanning tree problem. Moreover, inner-layer local search method is a general method for maintaining the connectivity constraint when dealing with massive graphs. Experimental results show that NestedLS outperforms state-of-the-art meta-heuristic algorithms on most instances
NIR‐II‐Excited Intravital Two‐Photon Microscopy Distinguishes Deep Cerebral and Tumor Vasculatures with an Ultrabright NIR‐I AIE Luminogen
No full text10.1002/adma.201904447ADVANCED MATERIALS314
Bright AIEgen–Protein Hybrid Nanocomposite for Deep and High‐Resolution In Vivo Two‐Photon Brain Imaging
No full text10.1002/adfm.201902717ADVANCED FUNCTIONAL MATERIALS292
Beyond statistical estimation: differentially private individual computation via shuffling
No full textIn data-driven applications, preserving user privacy while enabling valuable computations remains a critical challenge. Technologies like differential privacy have been pivotal in addressing these concerns. The shuffle model of DP requires no trusted curators and can achieve high utility by leveraging the privacy amplification effect yielded from shuffling. These benefits have led to significant interest in the shuffle model. However, the computation tasks in the shuffle model are limited to statistical estimation, making it inapplicable to real-world scenarios in which each user requires a personalized output. This paper introduces a novel paradigm termed Private Individual Computation (PIC), expanding the shuffle model to support a broader range of permutation-equivariant computations. PIC enables personalized outputs while preserving privacy, and enjoys privacy amplification through shuffling. We propose a concrete protocol that realizes PIC. By using one-time public keys, our protocol enables users to receive their outputs without compromising anonymity, which is essential for privacy amplification. Additionally, we present an optimal randomizer, the Minkowski Response, designed for the PIC model to enhance utility. We formally prove the security and privacy properties of the PIC protocol. Theoretical analysis and empirical evaluations demonstrate PIC’s capability in handling non-statistical computation tasks, and the efficacy of PIC and the Minkowski randomizer in achieving superior utility compared to existing solutions
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