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| 1 | Cytochrome b5 Reductase 1 Triggers Serial Reactions that Lead to Iron Uptake in Plants显示文摘根围使发酸为铁(Fe ) 是必要的举起进植物根。在根围使发酸的血浆膜(下午) H +-ATPases 戏钥匙角色。然而,下午 H +-ATPase 活动怎么被调整在 Fe 缺乏的条件下面提高根 Fe 举起,充分没被理解。这里,我们现在的证据那细胞色素 b5 reductase (CBR1 ) 1 增加不饱和的丰满的酸的层次,它 stimulatePM H +-ATPase 活动并且这样 leadto 根围使发酸。不饱和的丰满的酸(18:2 和 18:3 ) 高级的有的 CBR1-overexpressing (CBR1 公牛) Arabidopsis thaliana 植物,更高级的下午 H +-ATPase 活动,和比野类型的植物的更低的根围 pH。由对比, cbr1loss-of-function 异种植物显示出不饱和的丰满的酸和更低的下午 H +-ATPase 活动的底层但是更高的根围 pH。在 cbr1 的减少的下午 H +-ATPase 活动能是由不饱和的丰满的酸的增加的恢复 invitro。CBR1,丰满的酸 desaturase2 (FAD2 ) ,和丰满的酸 desaturase3 (FAD3 ) 的抄本层次在 Fe 缺乏的条件下面被增加。我们建议 CBR1 在增加不饱和的丰满的酸的层次有一个关键角色,它 activatethe 下午 H +-ATPase 并且这样 reducerhizosphere pH。这反应串联最终支持根 Fe 举起。 | Young Jun Oh Hanul Kim Sung Hee Seo Bae Geun Hwang Yoon Seok Chang Junho Lee Dong Wook Lee Eun Ju Sohn Sang Joon Lee Youngsook Lee Inhwan Hwang | 2016 | Molecular Plant2016，9，4： | 1 |
| 2 | Image enhancement with intensity transformation on embedding space显示文摘In recent times,an image enhancement approach,which learns the global transformation function using deep neural networks,has gained attention.However,many existing methods based on this approach have a limitation:their transformation functions are too simple to imitate complex colour transformations between low-quality images and manually retouched high-quality images.In order to address this limitation,a simple yet effective approach for image enhancement is proposed.The proposed algorithm based on the channel-wise intensity transformation is designed.However,this transformation is applied to the learnt embedding space instead of specific colour spaces and then return enhanced features to colours.To this end,the authors define the continuous intensity transformation(CIT)to describe the mapping between input and output intensities on the embedding space.Then,the enhancement network is developed,which produces multi-scale feature maps from input images,derives the set of transformation functions,and performs the CIT to obtain enhanced images.Extensive experiments on the MIT-Adobe 5K dataset demonstrate that the authors’approach improves the performance of conventional intensity transforms on colour space metrics.Specifically,the authors achieved a 3.8%improvement in peak signal-to-noise ratio,a 1.8%improvement in structual similarity index measure,and a 27.5%improvement in learned perceptual image patch similarity.Also,the authors’algorithm outperforms state-of-the-art alternatives on three image enhancement datasets:MIT-Adobe 5K,Low-Light,and Google HDRþ. | Hanul Kim Yeji Jeon Yeong Jun Koh | 2024 | CAAI Transactions on Intelligence Technology2024，9，1： | 0 |
| 3 | Highly Elastic,Bioresorbable Polymeric Materials for Stretchable,Transient Electronic Systems显示文摘Substrates or encapsulants in soft and stretchable formats are key components for transient,bioresorbable electronic systems;however,elastomeric polymers with desired mechanical and biochemical properties are very limited compared to nontransient counterparts.Here,we introduce a bioresorbable elastomer,poly(glycolide-co-ε-caprolactone)(PGCL),that contains excellent material properties including high elongation-at-break(<1300%),resilience and toughness,and tunable dissolution behaviors.Exploitation of PGCLs as polymer matrices,in combination with conducing polymers,yields stretchable,conductive composites for degradable interconnects,sensors,and actuators,which can reliably function under external strains.Integration of device components with wireless modules demonstrates elastic,transient electronic suture system with on-demand drug delivery for rapid recovery of postsurgical wounds in soft,time-dynamic tissues. | Jeong‑Woong Shin Dong‑Je Kim Tae‑Min Jang Won Bae Han Joong Hoon Lee Gwan‑Jin Ko Seung Min Yang Kaveti Rajaram Sungkeun Han Heeseok Kang Jun Hyeon Lim Chan‑Hwi Eom Amay J.Bandodkar Hanul Min Suk‑Won Hwang | 2024 | Nano-Micro Letters2024，16，6： | 0 |
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