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| 1 | BoneClear: whole-tissue immunolabeling of the intact mouse bones for 3D imaging of neural anatomy and pathology显示文摘Dear Editor,Current approaches to analyze cellular structures in the bone tissues have depended mainly on tissue sections.For instance,a recent study visualized different cellular populations in the 300-um sections of the mouse femurs1.Similarly,the distribution of hematopoietic stem cells could be examined in the half-bone sections2.Notably,such conventional methods obscure specific cellular structures,e.g.,neural innervations,that would be better observed with the intact,unsectioned bones.Moreover,histological sectioning could be challenging for many bone tissues,e.g.,vertebral column,skull and limbs. | Qi Wang Kaili Liu Lu Yang Huanhuan Wang Jing Yang | 2019 | Cell Research2019，29，10： | 3 |
| 2 | High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction显示文摘To improve the embedding capacity of reversible data hiding in encrypted images(RDH-EI),a new RDH-EI scheme is proposed based on adaptive quadtree partitioning and most significant bit(MSB)prediction.First,according to the smoothness of the image,the image is partitioned into blocks based on adaptive quadtree partitioning,and then blocks of different sizes are encrypted and scrambled at the block level to resist the analysis of the encrypted images.In the data embedding stage,the adaptive MSB prediction method proposed by Wang and He(2022)is improved by taking the upper-left pixel in the block as the target pixel,to predict other pixels to free up more embedding space.To the best of our knowledge,quadtree partitioning is first applied to RDH-EI.Simulation results show that the proposed method is reversible and separable,and that its average embedding capacity is improved.For gray images with a size of 512×512,the average embedding capacity is increased by 25565 bits.For all smooth images with improved embedding capacity,the average embedding capacity is increased by about 35530 bits. | Kaili QI Minqing ZHANG Fuqiang DI Yongjun KONG | 2023 | Frontiers of Information Technology & Electronic Engineering2023，24，8： | 0 |
| 3 | Nitrogen-Doped Sponge Ni Fibers as Highly Effcient Electrocatalysts for Oxygen Evolution Reaction显示文摘Controllable synthesis of highly active micro/nanostructured metal electrocatalysts for oxygen evolution reaction(OER) is a particularly significant and challenging target.Herein,we report a 3D porous sponge-like Ni material,prepared by a facile hydrothermal method and consisting of cross-linked micro/nanofibers,as an integrated binder-free OER electrocatalyst.To further enhance the electrocatalytic performance,an N-doping strategy is applied to obtain N-doped sponge Ni(N-SN) for the first time,via NH3 annealing.Due to the combination of the unique conductive sponge structure and N doping,the as-obtainedN-SN material shows improved conductivity and a higher number of active sites,resulting in enhanced OER performance and excellent stability.Remarkably,N-SN exhibits a low overpotential of 365 mV at 100 mA cm-2 and an extremely small Tafel slope of 33 mV dec-1,as well as superior long-term stability,outperforming unmodified sponge Ni.Importantly,the combination of X-ray photoelectron spectroscopy and near-edge X-ray adsorption fine structure analyses shows that γ-NiOOH is the surface-active phase for OER.Therefore,the combination of conductive sponge structure and N-doping modification opens a new avenue for fabricating new types of high-performance electrodes with application in electrochemical energy conversion devices. | Kaili Zhang Xinhui Xia Shengjue Deng Yu Zhong Dong Xie Guoxiang Pan Jianbo Wu Qi Liu Xiuli Wang Jiangping Tu | 2019 | Nano-Micro Letters2019，11，2： | 0 |
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