Neighborhood Modularization‑based Artificial Bee Colony Algorithm for Disassembly Planning with Operation Attributes

The recycling and remanufacturing of end-of-life products are significant for environmental protection and resource conservation.Disassembly is an essential process of remanufacturing end-of-life products.Effective disassembly plans help improve disassembly efficiency and reduce disassembly costs.This paper studies a disassembly planning problem with operation attributes,in which an integrated decision of the disassembly sequence,disassembly directions,and disassembly tools are made.Besides,a mathematical model is formulated with the objective of minimizing the penalty cost caused by the changing of operation attributes.Then,a neighborhood modularization-based artificial bee colony algorithm is developed,which contains a modular optimized design.Finally,two case studies with different scales and complexities are used to verify the performance of the proposed approach,and experimental results show that the proposed algorithm outperforms the two existing methods within an acceptable computational time.

Engineering white blood cell membrane-camouflaged nanocarriers for inflammation-related therapeutics

White blood cells(WBCs)play essential roles against inflammatory disorders,bacterial infections,and cancers.Inspired by nature,WBC membrane-camouflaged nanocarriers(WBC-NCs)have been developed to mimic the“dynamic”functions of WBCs,such as transendothelial migration,adhesion to injured blood vessels,etc,which make them promising for diverse medical applications.WBC-NCs inherit the cell membrane antigens of WBCs,while still exhibiting the robust inflammation-related therapeutic potential of synthetic nanocarriers with excellent(bio)physicochemical performance.This review summarizes the proposed concept of cell membrane engineering,which utilizes physical engineering,chemical modification,and biological functionalization technologies to endow the natural cell membrane with abundant functionalities.In addition,it highlights the recent progress and applications of WBC-NCs for inflammation targeting,biological neutralization,and immune modulation.Finally,the challenges and opportunities in realizing the full potential of WBC-NCs for the manipulation of inflammation-related therapeutics are discussed.

GACP:graph neural networks with ARMA flters and a parallel CNN for hyperspectral image classification

In recent years,the use of convolutional neural networks(CNNs)and graph neural networks(GNNs)to identify hyperspectral images(HSIs)has achieved excellent results,and such methods are widely used in agricultural remote sensing,geological exploration,and marine remote sensing.Although many generalization classification algorithms are designed for the purpose of learning a small number of samples,there is often a problem of a low utilization rate of position information in the empty spectral domain.Based on this,a GNN with an autoregressive moving average(ARMA)-based smoothingfilter samples the node information in the null spectral domain and then captures the spatial information at the pixel level via spatial feature convolution;then,the null spectral domain position information lost by the CNN is located by a coordinate attention(CA)mechanism.Finally,autoregressive,spatial convolution,and CA mechanisms are combined into multiscale features to enhance the learning capacity of the network for tiny samples.Experiments conducted on the widely used Indian Pines(IP)dataset,the Botswana(BS)dataset,Houton 2013(H2013),and the WHU-Hi-HongHu(WHU)benchmark HSI dataset demonstrate that the proposed GACP technique can perform classification work with good accuracy even with a small number of training examples.

A C3HC4-type RING finger protein regulates rhizobial infection and nodule organogenesis in Lotus japonicus

During the establishment of rhizobia-legume symbiosis, the cytokinin receptor LHK1 （Lotus Histidine Kinase 1） is essential for nodule formation. However, the mechanism by which cytokinin signaling regulates symbiosis remains largely unknown. In this study, an LHK1-interacting protein, LjCZF% was identified and further characterized. LjCZF1 is a C3HC4-type RiNG finger protein that is highly conserved in plants. LjCZF1 specifically interacted with LHK1 in yeast two-hybrid, in vitro pull-down and co-immunoprecipitation assays conducted in tobacco. Phosphomimetic mutation of the potential threonine （T167D） phosphorylation site enhanced the interaction between LjCZF1 and LHK1, whereas phosphorylation mutation （T167A） eliminated this interaction. Transcript abundance of LjCZF1 was up-regulated significantly after inoculation with rhizobia. The LORE1 insertion mutant and clustered regularly interspaced short palindromic repeats （CRISPR）/CRISPR- associated protein 9-mediated knockout mutant Lotus japonicus plants demonstrated significantly reduced number of infection threads and nodules. In contrast, plants over-expressing LjCZF1 exhibited increased numbers of infection threads and nodules. Collectively, these data support the notion that LjCZF1 is a positive regulator of symbiotic nodulation, possibly through interaction with LH K1.