Tootfinder

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
Zimu Liao, Jifeng Ding, Rong Fu, Siwei Cui, Ruixuan Gong, Li Wang, Boni Hu, Yi Wang, Hengjie Li, XIngcheng Zhang, Hui Wang
https://arxiv.org/abs/2505.24796

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
3D Gaussian Splatting (3DGS) renders pixels by rasterizing Gaussian primitives, where conditional alpha-blending dominates the time cost in the rendering pipeline. This paper proposes TC-GS, an algorithm-independent universal module that expands Tensor Core (TCU) applicability for 3DGS, leading to substantial speedups and seamless integration into existing 3DGS optimization frameworks. The key innovation lies in mapping alpha computation to matrix multiplication, fully utilizing otherwise idle …

iTrace : Interactive Tracing of Cross-View Data Relationships
Abdul Rahman Shaikh, Maoyuan Sun, Xingchen Liu, Hamed Alhoori, Jian Zhao, David Koop
https://arxiv.org/abs/2505.23079

iTrace : Interactive Tracing of Cross-View Data Relationships
Exploring data relations across multiple views has been a common task in many domains such as bioinformatics, cybersecurity, and healthcare. To support this, various techniques (e.g., visual links and brushing and linking) are used to show related visual elements across views via lines and highlights. However, understanding the relations using these techniques, when many related elements are scattered, can be difficult due to spatial distance and complexity. To address this, we present iTrace, …

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Tan Dun, Xieyang Chang, Shanghai Municipal Committee Band, Shanghai Chinese Orchestra & Yo‐Yo Ma:
🎵 Crouching Tiger, Hidden Dragon
#TanDun #XieyangChang #ShanghaiMunicipalCommitteeBand #ShanghaiChineseOrchestra #YoYoMa

Polymer-modulated evaporation flow enables scalable self-assembly of highly aligned nanowires
Liyiming Tao, Zechao Jiang, Shiyuan Hu, Lin Du, Qiuting Zhang, Jiajia Zhou, Masao Doi, Xiaojun Wu, Xingkun Man, Ye Xu
https://arxiv.org/abs/2505.23227

Polymer-modulated evaporation flow enables scalable self-assembly of highly aligned nanowires
Highly aligned nanowire networks are essential for enabling anisotropic optical, electrical, and sensing functionalities in next-generation devices. However, achieving such alignment typically requires complex fabrication methods or high-energy processing. Here, we present a simple and scalable self-assembly strategy that uses a viscosity-enhancing polymer additive to modulate fluid flows during solvent evaporation. The addition of carboxymethylcellulose sodium (CMC-Na) reshapes the evaporation…

Revisiting the Li abundances of Stars with and without Detected Planets from the High Resolution Spectroscopy
Jinxiao Qin, Hong-Liang Yan, Wenyuan Cui, Jian-Rong Shi, Subo Dong, Shuai Liu, Zeming Zhou, Miao Tian, Zhenyan Huo, Xiangsong Fang, Jinghua Zhang, Chunqian Li, Mingyi Ding, Song Wang, Henggeng Han
https://arxiv.org/abs/2…

Revisiting the Li abundances of Stars with and without Detected Planets from the High Resolution Spectroscopy
Whether the presence of planets affects the lithium (Li) abundance of their host stars is still an open question. To investigate the difference of the Li abundance between planet-host stars (HS) and isolated stars (IS) with no detected planets, we analyze a large sample of stars with temperatures ranging from 4600 to 6600 K and metallicity ranging from -0.55 to +0.50. The sample consists of 279 HS whose spectra were taken from the California-Kepler Survey (CKS), which followed up planets detect…

A Silicon Microstrip Detector for Power-Limited and Large Sensitive Area Applications
Dexing Miao, Zijun Xu, Zhiyu Xiang, Pingcheng Liu, Giovanni Ambrosi, Mattia Barbanera, Mengke Cai, Xudong Cai, Hsin-Yi Chou, Matteo Duranti, Valerio Formato, Maria Ionica, Yaozu Jiang, Liangchenglong Jin, Vladimir Koutsenko, Qinze Li, Cong Liu, Xingjian Lv, Alberto Oliva, Wenxi Peng, Rui Qiao, Gianluigi Silvestre, Zibing Wu, Xuhao Yuan, Hongyu Zhang, Xiyuan Zhang, Jianchun Wang

A Silicon Microstrip Detector for Power-Limited and Large Sensitive Area Applications
A silicon microstrip detector (SSD) has been developed to have state of the art spatial resolution and a large sensitive area under stringent power constraints. The design incorporates three floating strips with their bias resistors inserted between two aluminum readout strips. Beam test measurements with the single sensor confirmed that this configuration achieves a total detection efficiency of $99.8 \, \%$ and spatial resolution $7.6 \, \mathrm{μm}$ for MIPs. A double-$η$ algorithm was dev…

Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments
Jingxi Lu, Wenhao Li, Jianxiong Guo, Xingjian Ding, Zhiqing Tang, Tian Wang, Weijia Jia
https://arxiv.org/abs/2505.22424

Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments
With the rapid growth of IoT devices and their diverse workloads, container-based microservices deployed at edge nodes have become a lightweight and scalable solution. However, existing microservice scheduling algorithms often assume static resource availability, which is unrealistic when multiple containers are assigned to an edge node. Besides, containers suffer from cold-start inefficiencies during early-stage training in currently popular reinforcement learning (RL) algorithms. In this pape…

Heute vor 33 Jahren: Am 26. Mai 1990 führte #China am Teststandort Lop Nor (Provinz Xinjiang) einen unterirdischen #Atomtest durch, Nr. 35. Die Sprengkraft und weitere Details sind unbekannt.

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Wasif Khan, Kyle B. See, Simon Kato, Ziqian Huang, Amy Lazarte, Kyle Douglas, Xiangyang Lou, Teng J. Peng, Dhanashree Rajderkar, John Rees, Pina Sanelli, Amita Singh, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang
https://arxiv.org/abs/2505.22673

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Perfusion imaging is extensively utilized to assess hemodynamic status and tissue perfusion in various organs. Computed tomography perfusion (CTP) imaging plays a key role in the early assessment and planning of stroke treatment. While CTP provides essential perfusion parameters to identify abnormal blood flow in the brain, the use of contrast agents in CTP can lead to allergic reactions and adverse side effects, along with costing USD 4.9 billion worldwide in 2022. To address these challenges,…