Explanipedia

The influence of wide-temperature-range operating conditions on the sound insulation performance of automotive door sealing strips Open

Tao Zhang, Lei Ren, Jingchang Chen, Ning Kang, Bingquan Lu , et al. · 2025

The mechanical and sound insulation performance of sponge rubber seals is significantly affected by the temperature, which directly affects the seals and performance of car doors. To investigate the effect of temperatures on seals, mechani…

Analysis of compression load deformation of sponge rubber seals considering high and low-temperature effects Open

Xianwei Zhao, Ning Kang, Bingquan Lu, Li Zhou, Hong Yi , et al. · 2025

Sponge rubber seals are critical components in automotive door sealing systems, where high-temperature environments can cause the seals to harden and lose elasticity, while low temperatures may render them brittle, thus negatively impactin…

The role of osteocalcin in regulating the acute stress response Open

Ning Kang, Jie Huang, Xiaoguang Han, Zhengqian Li, Yi Yuan , et al. · 2025

Osteocalcin (OCN), a bone-derived hormone, considered as an indicator of bone turnover. Beyond its canonical role in bone metabolism, OCN may have many other functions as well. Studies have shown that it may also regulate glucose and lipid…

Hyperspectral Imaging for Benign and Malignant Diagnosis of Breast Tumors Open

Yihui He, Yihan Zhao, Jiajia Xu, Dongsheng Zhou, Weichen Shi , et al. · 2025

Objective To assess the feasibility of combining microscopic hyperspectral imaging (370–1100 nm) with a lightweight 1D‐CNN for rapid, label‐free discrimination of benign and malignant breast tumors. Methods Breast specimens (43 malignant, …

Organometallic-Inorganic Hybrid MXenes with Tunable Superconductivity Open

Qi Fan, Tao Bo, Wei Guo, Minghua Chen, Qing Tang , et al. · 2025

Ti-based two-dimensional transition-metal carbides (MXenes) have attracted attention due to their superior properties and are being explored across various applications1,2. Despite their versatile properties, superconductivity has never be…

LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation Open

Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu , et al. · 2025

In this paper, we investigate how to convert a pre-trained Diffusion Transformer (DiT) into a linear DiT, as its simplicity, parallelism, and efficiency for image generation. Through detailed exploration, we offer a suite of ready-to-use s…

Research on hybrid superconducting devices and quantum transport based on one-dimensional electronic systems Open

DENG Xiaosong, Zhiyong Zhang, Ning Kang · 2025

The hybrid system of low-dimensional electronic materials and superconducting materials has always been an attractive structure for studying mesoscopic transport and low-dimensional superconducting properties. Low-dimensional structures wi…

The Influence of Heterogeneous Geological Structure within the Reservoir on the Seepage Characteristics of Coalbed Methane Open

Hongbing Wang, T. Li, Hongbao Zhao, Luo Yafei, Ning Kang · 2025

Carbon Nanotubes and Carbon Nanoonions Inhibit the Formation of Amyloid Fibrils from Whey Protein Isolate Open

Lisha Wang, Ning Kang, Shi Hu, Lizhen Gao · 2025

Collective quantum coherence and subband redistribution in artificially assembled nanotube arrays Open

Zhiyong Zhang, Xiaosong Deng, Weili Li, Xiaohan Cheng, Zixuan Zhang , et al. · 2024

Artificial assembly of one-dimensional ballistic conductors into a two-dimensional (2D) system can provide an ideal platform to study coherent electronic coupling and designable physical properties. However, systematic investigations of bo…

The Dynamic Changes and Precise Classification of Parathyroid　Function within One Year after Thyroid Cancer Surgery Open

Ning Kang, Yarong Liang, Yongchao Yu, Zan Jiao, Yi Wu , et al. · 2024

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization Open

Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang , et al. · 2023

Deep generative models have demonstrated superior performance in lossless compression on identically distributed data. However, in real-world scenarios, data to be compressed are of various distributions and usually cannot be known in adva…

Towards Connection-Scalable RNIC Architecture Open

Ning Kang, Zhan Wang, Fan Yang, Xiaoxiao Ma, Zhenlong Ma , et al. · 2023

RDMA is a widely adopted optimization strategy in datacenter networking that surpasses traditional kernel-based TCP/IP networking through mechanisms such as kernel bypass and hardware offloading. However, RDMA also faces a scalability chal…

CCDC 2244797: Experimental Crystal Structure Determination Open

Zijian Song, Liying Wang, Ning Kang, Kai Yu, Jinghua Lv , et al. · 2023

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …

3d Host-Guest Material of {Ag(Pz)} Modified {Bw 12 O 40 } With Supercapacitor, Photocatalytic Dye Degradation and H 2 O 2 Sensing Performances Open

Zijian Song, Liying Wang, Ning Kang, Ku Yu, Jinghua Lv , et al. · 2023

PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Open

Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shu‐Tao Xia · 2022

Generative model based image lossless compression algorithms have seen a great success in improving compression ratio. However, the throughput for most of them is less than 1 MB/s even with the most advanced AI accelerated chips, preventin…

Split Hierarchical Variational Compression Open

Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang · 2022

Variational autoencoders (VAEs) have witnessed great success in performing the compression of image datasets. This success, made possible by the bits-back coding framework, has produced competitive compression performance across many bench…

Parallel Neural Local Lossless Compression Open

Ming‐Tian Zhang, James T. Townsend, Ning Kang, David Barber · 2022

The recently proposed Neural Local Lossless Compression (NeLLoC), which is based on a local autoregressive model, has achieved state-of-the-art (SOTA) out-of-distribution (OOD) generalization performance in the image compression task. In a…

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. Open

Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li · 2021

It was estimated that the world produced $59 ZB$ ($5.9 \times 10^{13} GB$) of data in 2020, resulting in the enormous costs of both data storage and transmission. Fortunately, recent advances in deep generative models have spearheaded a ne…

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder Open

Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li · 2021

It was estimated that the world produced $59 ZB$ ($5.9 \times 10^{13} GB$) of data in 2020, resulting in the enormous costs of both data storage and transmission. Fortunately, recent advances in deep generative models have spearheaded a ne…

NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models Open

Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang , et al. · 2021

Fine-tuning from pre-trained ImageNet models has been a simple, effective, and popular approach for various computer vision tasks. The common practice of fine-tuning is to adopt a default hyperparameter setting with a fixed pre-trained mod…

CCDC 1993831: Experimental Crystal Structure Determination Open

Tie Yao, Jiaxin Wang, Shijie Cao, Da Liu, Jingshi Duan , et al. · 2021

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …

The Interplay between Whey Protein Fibrils with Carbon Nanotubes or Carbon Nano-Onions Open

Ning Kang, Hua Jin, Lizhen Gao, Bin Zhang, Jiewen Pang · 2021

Whey protein isolate (WPI) fibrils were prepared using an acid hydrolysis induction process. Carbon nanotubes (CNTs) and carbon nano-onions (CNOs) were made via the catalytic chemical vapor deposition (CVD) of methane. WPI fibril–CNTs and …

VEGA: Towards an End-to-End Configurable AutoML Pipeline Open

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu , et al. · 2020

Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models. However, designing an integrated AutoML system faces four great challenges of configurability, s…

Ultrafast growth of nanocrystalline graphene films by quenching and grain-size-dependent strength and bandgap opening Open

Tong Zhao, Chuan Xu, Wei Ma, Zhibo Liu, Tianya Zhou , et al. · 2019

Nanocrystallization is a well-known strategy to dramatically tune the properties of materials; however, the grain-size effect of graphene at the nanometer scale remains unknown experimentally because of the lack of nanocrystalline samples.…

Clean Graphene Surfaces: A Force‐Engineered Lint Roller for Superclean Graphene (Adv. Mater. 43/2019) Open

Luzhao Sun, Li Lin, Zihao Wang, Dingran Rui, Zhiwei Yu , et al. · 2019

A new approach to clean the surface of graphene is reported by Hailin Peng, Zhongfan Liu, and co-workers in article number 1902978, who use a force-engineered “lint roller” to selectively removing the graphene's intrinsic surface contamina…

Nitrogen cluster doping for high-mobility/conductivity graphene films with millimeter-sized domains Open

Li Lin, Jiayu Li, Qinghong Yuan, Qiucheng Li, Jincan Zhang , et al. · 2019

Clusterization of dopants in graphene would minimize carrier scattering, achieving a remarkably high carrier mobility.

Recent Advances in Novel Materials for Future Spintronics Open

Xiaotian Wang, Hong Chen, R. Khenata, Bel From Sidi, Antonio Frontera , et al. · 2019

As we all know, electrons carry both charge and spin. The processing of information in conventional electronic devices is based only on the charge of electrons. Spin electronics, or spintronics, uses the spin of electrons, as well as their…

Towards super-clean graphene Open

Li Lin, Jincan Zhang, Hai‐Sheng Su, Jiayu Li, Luzhao Sun , et al. · 2019

Signature of quantum Griffiths singularity state in a layered quasi-one-dimensional superconductor Open

Enze Zhang, Jinhua Zhi, Yichao Zou, Zefang Ye, Linfeng Ai , et al. · 2018

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