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With 2-COOH and 4-SH donors all packed onto the benzene ring, tetrasulfanyl terephthalic acid (TST) is a simple yet fully equipped ligand to move the field of metal-coordination materials─it is now accomplished. The hard-soft carboxyl-thiol synergy is leveraged here in selectively bonding the carboxyl units to Zr(IV) ions to form the same cubic net of UiO-66 (this being based on the terephthalic linker)─with the free-standing dithiolene units equipping the grid of ZrTST. The 3D network of ZrTST averages about 7.6 connections [as in Zr

Poor wound healing after diabetes mellitus remains a challenging problem, and its pathophysiological mechanisms have not yet been fully elucidated. Persistent bleeding, disturbed regulation of inflammation, blocked cell proliferation, susceptible infection and impaired tissue remodeling are the main features of diabetic wound healing. Conventional wound dressings, including gauze, films and bandages, have a limited function. They generally act as physical barriers and absorbers of exudates, which fail to meet the requirements of the whol diabetic wound healing process. Wounds in diabetic patients typically heal slowly and are susceptible to infection due to hyperglycemia within the wound bed. Once bacterial cells develop into biofilms, diabetic wounds will exhibit robust drug resistance. Recently, the application of stimuli-responsive hydrogels, also known as "smart hydrogels", for diabetic wound healing has attracted particular attention. The basic feature of this system is its capacities to change mechanical properties, swelling ability, hydrophilicity, permeability of biologically active molecules, etc., in response to various stimuli, including temperature, potential of hydrogen (pH), protease and other biological factors. Smart hydrogels can improve therapeutic efficacy and limit total toxicity according to the characteristics of diabetic wounds. In this review, we summarized the mechanism and application of stimuli-responsive hydrogels for diabetic wound healing. It is hoped that this work will provide some inspiration and suggestions for research in this field.

The performance of polymer solar cells is known to be critically dependent on the characters of the charge extraction layers. In this work, an efficient electron extraction layer (EEL) is developed by doping saccharin into precursor of ZnO. It shows that the introduction of saccharin helps to passivate defects in ZnO EEL and polish the interfacial contact, which lead to efficient charge transport and collection processes, suppressed charge recombination loss, and increased light photon utilization. In poly[4,8-bis(5-(2-ethylhexyl)thiophen-2-yl)benzo[1,2-b;4,5-b′]dithiophene-2,6-diyl-alt-(4-(2-ethylhexyl)-3-fluorothieno[3,4-b]thiophene-)-2-carboxylate-2–6-diyl)]:[6,6]-phenyl C71-butyric acid methyl ester (PTB7-Th:PC71BM) based cells, over 10% enhancement of power conversion efficiency (PCE) is obtained compared to that of the reference cell with pristine ZnO as EEL. This work proves that the strategy of precursor additive has potential to prepare highly efficient EEL for polymer solar cells.

Peanut is an important crash crop worldwide, and it is often threatened by drought stress due to unexpected extreme weather events. In this work, NH5 and FH18 were selected as drought-tolerant and drought-sensitive varieties, respectively. Comparison of their physiological responses revealed that NH5 showed less wilting, higher relative water content and lower water loss rate of detached leaves, lower electrolyte leakage, and stronger antioxidant ability under drought stress than did FH18. Based on comparative transcriptomic analysis, 5376 differentially expressed mRNAs were commonly identified in the two varieties, and 2993 genes specifically changed in the drought-tolerant variety and were mainly enriched in photosynthesis-antenna proteins and photosynthetic pathways. Furthermore, 73 microRNAs (miRNAs) were differentially expressed in the drought tolerance variety specifically under drought stress; of these, two key candidate miRNAs, novel miR_416 and novel miR_73, were identified, and the majority of their target genes were enriched in phenylpropanoid biosynthesis, linoleic acid metabolism, and cutin, suberine, and wax biosynthesis. This study lays the foundation for the analysis of the molecular mechanism of drought tolerance and promotes the genetic improvement of peanut drought tolerance.

Charge extraction layers with excellent charge extraction capability are essential for achieving high photovoltaic performance in cells. In this work, a hole extraction layer (HEL) is developed by doping conductive polymer TFB into CuSCN (CuSCN:TFB(X)), which exhibits good light transparency and high affinity for the light absorber. Compared to the reference cell, the CuSCN:TFB(X) HEL-based cells show impressive enhancement owing to the increased exciton dissociation and charge extraction processes and weak recombination losses. Furthermore, matched work function, better interface contact, and appropriate domain size also contribute to the enhanced power conversion efficiency. As a consequence, the highest conversion efficiency of 15.28% is observed in a cell based on the PM6:Y6 blend film and CuSCN:TFB(1.0%) HEL, which is >16% higher than the efficiency of 13.13% in a cell with CuSCN HEL.

A CuCeZr composite oxide (Cu-Ce0.8Zr0.2O2) was prepared via microwave-assisted co-precipitation method and employed in syngas production from dry reforming of renewable ethanol. Its physicochemical features were deeply investigated by a series of characterization technique (XRD, Raman, TPR, SEM and XPS etc). Indeed, the as-prepared composite oxide presented the flower-like morphology structure and exhibited the superior activity and stability even after 50 h on-stream tests for ethanol dry reforming. This attractive behavior was probably assigned to the uniform dispersion of active Cu species and the strong metal-support interaction which could not only efficiently stabilize Cu nanoparticles during the serious reaction conditions but suppress the deactivated coke formation over catalyst surface. The promising findings in this work might stimulate the development of value-added syngas production from renewable biomass-derived feedstocks.

SphK1 gene has different roles in various types of cells in liver diseases, but most studies are based on global knockout mice, which hampers the study on the cellular and molecular mechanisms of SphK1. In order to further study the role of SphK1 in liver, SphK1 conditional knockout mice were constructed. A liver-specific SphK1 gene knockout mouse model was constructed by the Cre/Loxp recombinant enzyme system. PCR technologies and western blotting were used to identified the elimination of SphK1 gene in hepatocytes. SphK1flox/flox mice were used as a control group to verify the effectiveness of SphK1 liver-specific knockout mice from the profile, pathology, and serology of mice. The ablation of SphK1 in hepatic parenchymal cells was demonstrated by fluorescent in situ hybridization and the contents of S1P and Sph were measured by ELISA kit. The genotypes of liver in SphK1 conditional knockout mice were different from that of other organs. The mRNA and protein levels of SphK1 in liver tissue of SphK1 conditional knockout mice were almost depleted by compared with SphK1flox/flox mice. Physiology and pathology showed no significant difference between SphK1 liver conditional knockout mice and SphK1flox/flox mice. Additionally, SphK1 was eliminated in hepatocytes, leading to the reduce of S1P content in hepatocytes and liver tissues and the increase of Sph content in hepatocytes. The model of SphK1 gene liver conditional knockout mice was successfully constructed, providing a tool for the study of the roles of SphK1 in hepatocyte and liver diseases.

GLP-1 receptor (GLP-1R) and glucagon receptor (GCGR) are critical for the maintenance of glucose and energy homeostasis, but their roles in chronic kidney disease (CKD) are still unknown. Herein we found that the expression of GLP-1R and GCGR was lower in kidney from patients with CKD than in control individuals and was correlated with disease severity. RNA-seq analysis showed that adeno-associated viral vector serotype 9-GLP-1R or GCGR small hairpin RNA (AAV9-GLP-1R or GCGR shRNA) treatment in db/db mice exhibited more advanced diabetic nephropathy than wild-type mice. We also found that GLP-1R mainly expressed in glomeruli and GCGR expressed in both glomeruli and tubuli renales. Based on the importance of GLP-1R and GCGR in CKD, we design and report a new monomeric peptide, 1907-B, with agonism at the GLP-1R and GCGR that have more prolonged half-time than long-acting semaglutide in cynomolgus rats or monkeys (~2-3 fold) and exhibit better therapeutic contribution to CKD than best-in-class monoagonists, semaglutide or glucagon in db/db mice and unilateral ureter obstruction (UUO) mice. Various loss-of-function models, including selective pharmacological blockade and genetic knockdown, confirmed that the effects of 1907-B on improving glucose control and ameliorating the diabetic nephropathy in db/db mice were mediated through GLP-1 and glucagon signaling, whereas its action on inhibiting renal fibrosis in UUO mice was predominantly mediated through glucagon signaling. Mechanistically, 1907-B activated downstream cAMP-PKA pathway to promote mitochondrial biogenesis and bioenergetics, as well as to attenuate renal oxidative stress under chronic hyperglycemia via stimulating GLP-1R and GCGR simultaneously. Furthermore, 1907-B had crucial protection roles against inflammation via NFκB pathway and renal fibrosis via TGF-β-SMAD pathway. Thus 1907-B, via direct kidney (GCGR) and part-glomerulus (GLP-1R) effects, exerts multifactorial improvement in renal injuries and is a more effective and promising therapeutic option for the treatment of CKD.

Drought stress has been the major constraint on peanut yield and quality, and an understanding of the function of long non-coding (lncRNAs) in the peanut drought stress response is still in its infancy. In this study, two peanut varieties with contrasting drought tolerance were used to explore the functions of lncRNAs in the peanut drought response, and the results showed that the drought-tolerant variety presented greater antioxidant enzyme activity, osmotic adjustment ability, and photosynthesis under drought conditions. There were 4329 lncRNAs identified in the two varieties, of which 535 and 663 lncRNAs were differentially expressed in NH5 and FH18, respectively. The cis targets of the differentially expressed lncRNAs were putatively involved in secondary metabolite biosynthesis and other basic metabolic processes. A total of 673 competing endogenous RNA (ceRNA) pairs were selected specifically in NH5, and the associated ceRNA network revealed six lncRNAs, MSTRG.70535.2, MSTRG.86570.2, MSTRG.86570.1, MSTRG.100618.1, MSTRG.81214.2, and MSTRG.30931.1were considered as hub nodes. They were speculated to contribute to enhancing peanut drought tolerance, such as regulating transcription and plant growth processes, thereby improving the drought stress response. In this study, lncRNAs and mRNAs interaction networks were constructed to aid a comprehensive understanding of the peanut drought stress response and form a basis for future research.

Learning from demonstration (LfD) is a promising method for robots to learn and generalize human-like skills. It has the advantages of high programming efficiency, easy optimization, and non-professionals can also operate. There is a lot of research work that learn motion trajectories and stiffness curves from human demonstrations simutaneously to make the robot compliant, but previous work rarely consider the changes of environment. In this article, we propose an adaptive stiffness method that enables the robot to learn motion and stiffness trajectories from a single demonstration. When the environment changes, it can spontaneously tune the stiffness according to environmental feedback to ensure the smoothness of the task. Thus the robot has the ability to adapt to environmental changes. We first proved the theoretical feasibility of the method, and then we conducted physical experiments on the Baxter robot to verify the effectiveness of the proposed method.

Soil microorganisms play important roles in crop production and sustainable agricultural management. However, soil conditions and crop selection are key determining factors for soil microbial communities. This study investigated the effect of plant types and soil salinity on the microbial community of interspecific interaction zone (II) based on the sorghum/peanut intercropping system. Microbial community diversity and composition were determined through PacBio single molecule, real-time sequencing of 16S rDNA and internal transcribed spacer (ITS) genes. Results showed Proteobacteria, Bacteroidota, and Acidobacteriota to be the dominant bacterial phyla in IP, II, and IS, whereas Ascomycota, Basidiomycota, and Mucoromycota were the dominant fungal phyla. Under salt-treated soil conditions, the plants-specific response altered the composition of the microbial community (diversity and abundance). Additionally, the interspecific interactions were also helpful for maintaining the stability and ecological functions of microbial communities by restructuring the otherwise stable core microbiome. The phylogenetic structure of the bacterial community was greatly similar between IP and II while that of the fungal community was greatly similar between IP and IS; however, the phylogenetic distance between IP and IS increased remarkably upon salinity stress. Overall, salinity was a dominant factor shaping the microbial community structure, although plants could also shape the rhizosphere microenvironment by host specificity when subjected to environmental stresses. In particular, peanut still exerted a greater influence on the microbial community of the interaction zone than sorghum.

Powering marine distributed nodes (e.g. monitoring buoys) has always been challenging under the harsh conditions in oceans. Triboelectric nanogenerator (TENG), on account of its robustness and cost, provide a novel solution to this problem. In this study, a stackable TENG (S-TENG) consisting of polytetrafluoroethylene pellets, an acrylic plates coated with aluminum film and a 3D-printed brace, has been proposed to harvest wave energy efficiently. Experiments show that each S-TENG unit produces a maximum peak power of 25.22mW while a power density of 34.65W/m3 is achieved. The output characteristic of multiple S-TENG units parallel connected is studied. It turns out that the output performance yields linear increase with the unit number without having to use rectifier bridge. This feature indicates that self-powered marine monitoring buoy is achievable by S-TENG integration.

Image enhancement technology is often used to improve the quality of medical images and helps doctors or expert systems identify and diagnose diseases. This paper aimed at the characteristics of magnetic resonance imaging (MRI) with complex and difficult-to-enhance details and to propose a nonsubsampled contourlet transform- (NSCT-) based enhancement algorithm called MIE-NSCT. NSCT was used for MRI sub-band decomposition. For high-pass sub-bands, four fuzzy rules were proposed to enhance multiscale and multidirectional edge contour details from adjacent eight directions, whilst for low-pass sub-bands, a new adaptive histogram enhancement algorithm was proposed. The problem of noise amplification and loss of details during the enhancement process was solved. The algorithm was verified on the public dataset BraTS2017 and compared with other advanced methods. Experimental results showed that MIE-NSCT had obvious advantages in improving the quality of medical images, and high-quality medical images showed enhanced performance in grading tumour. MIE-NSCT is suitable for integration into an interactive expert system to provide support for the visualization of disease diagnosis.

The use of medical image synthesis with generative adversarial networks (GAN) is effective for expanding medical samples. The structural consistency between the synthesized and actual image is a key indicator of the quality of the synthesized image, and the region of interest (ROI) of the synthesized image is related to its usability, and these parameters are the two key issues in image synthesis. In this paper, the fusion-ROI patch GAN (Fproi-GAN) model was constructed by incorporating a priori regional feature based on the two-stage cycle consistency mechanism of cycleGAN. This model has improved the tissue contrast of ROI and achieved the pairwise synthesis of high-quality medical images and their corresponding ROIs. The quantitative evaluation results in two publicly available datasets, INbreast and BRATS 2017, show that the synthesized ROI images have a DICE coefficient of 0.981 ± 0.11 and a Hausdorff distance of 4.21 ± 2.84 relative to the original images. The classification experimental results show that the synthesized images can effectively assist in the training of machine learning models, improve the generalization performance of prediction models, and improve the classification accuracy by 4% and sensitivity by 5.3% compared with the cycleGAN method. Hence, the paired medical images synthesized using Fproi-GAN have high quality and structural consistency with real medical images.

The hole transporting layers (HTLs) between the electrode and light absorber play a vital role in charge extraction and transport processes in organic solar cells (OSCs). Herein, a bilayer structure HTL of CuSCN/TFB is formed by soluble copper(I) thiocyanate (CuSCN) and poly[(9,9-dioctylfluorenyl-2,7-diyl)-alt-(4,4'-(N-(4-butylphenyl)))] (TFB). The excellent charge extraction capability is proved in nonfullerene PM6:Y6 and fullerene PTB7-Th:PC71BM blend system-based cells. The introduction of TFB tunes the work function and polishes the interfacial contact between the HTL and light absorber, which favors the hole extraction process in cells. Meanwhile, lower recombination loss, higher exciton dissociation probability, and larger domain size are observed in CuSCN/TFB HTL-based cells compared to those of the reference cell with the pristine CuSCN HTL, which significantly improve the photovoltaic performance. As a result, a champion efficiency of 15.10% is obtained, which is >14% higher than the efficiency of 13.15% obtained in the reference cell. This study suggests that CuSCN/TFB is a promising HTL to achieve high efficiency for OSCs.

Cold stress restricts peanut (Arachis hypogaea L.) growth, development, and yield. However, the specific mechanism of cold tolerance in peanut remains unknown. Here, the comparative physiological, transcriptomic, and lipidomic analyses of cold tolerant variety NH5 and cold sensitive variety FH18 at different time points of cold stress were conducted to fill this gap. Transcriptomic analysis revealed lipid metabolism including membrane lipid and fatty acid metabolism may be a significant contributor in peanut cold tolerance, and 59 cold-tolerant genes involved in lipid metabolism were identified. Lipidomic data corroborated the importance of membrane lipid remodeling and fatty acid unsaturation. It indicated that photosynthetic damage, resulted from the alteration in fluidity and integrity of photosynthetic membranes under cold stress, were mainly caused by markedly decreased monogalactosyldiacylglycerol (MGDG) levels and could be relieved by increased digalactosyldiacylglycerol (DGDG) and sulfoquinovosyldiacylglycerol (SQDG) levels. The upregulation of phosphatidate phosphatase (PAP1) and phosphatidate cytidylyltransferase (CDS1) inhibited the excessive accumulation of PA, thus may prevent the peroxidation of membrane lipids. In addition, fatty acid elongation and fatty acid β-oxidation were also worth further studied in peanut cold tolerance. Finally, we constructed a metabolic model for the regulatory mechanism of peanut cold tolerance, in which the advanced lipid metabolism system plays a central role. This study lays the foundation for deeply analyzing the molecular mechanism and realizing the genetic improvement of peanut cold tolerance.

Plants tolerate cold stress by regulating gene networks controlling cellular and physiological traits to modify growth and development. Transcription factor (TF)-directed regulation of transcription within these gene networks is key to eliciting appropriate responses. Identifying TFs related to cold tolerance contributes to cold-tolerant crop breeding. In this study, a comparative transcriptome analysis was carried out to investigate global gene expression of entire TFs in two peanut varieties with different cold-tolerant abilities. A total of 87 TF families including 2328 TF genes were identified. Among them, 445 TF genes were significantly differentially expressed in two peanut varieties under cold stress. The TF families represented by the largest numbers of differentially expressed members were bHLH (basic helix―loop―helix protein), C2H2 (Cys2/His2 zinc finger protein), ERF (ethylene-responsive factor), MYB (v-myb avian myeloblastosis viral oncogene homolog), NAC (NAM, ATAF1/2, CUC2) and WRKY TFs. Phylogenetic evolutionary analysis, temporal expression profiling, protein&ndash, protein interaction (PPI) network, and functional enrichment of differentially expressed TFs revealed the importance of plant hormone signal transduction and plant-pathogen interaction pathways and their possible mechanism in peanut cold tolerance. This study contributes to a better understanding of the complex mechanism of TFs in response to cold stress in peanut and provides valuable resources for the investigation of evolutionary history and biological functions of peanut TFs genes involved in cold tolerance.

The unclear molecular mechanism by which peanuts adapt to chilling stress limits progress in molecular breeding for peanut chilling tolerance. Here, the physiological and transcriptional differences between two genotypes with contrasting tolerance under chilling stress were compared. The inhibition of photosynthesis mainly caused by stomatal factors was a common response of peanut seedlings to chilling stress. Chilling-tolerant genotypes could inhibit the accumulation of ROS to adapt to chilling stress, and enhanced activities of CAT and APX were major causes of lower H

Activation of hepatic stellate cells (HSCs) is an essential event in the initiation and progression of liver fibrosis. HSCs are believed to be the major source of collagen-producing myofibroblasts in fibrotic livers. A key feature in the pathogenesis of liver fibrosis is fibrillar Collagen I (Col 1) deposition. Osteopontin (OPN), an extracellular matrix (ECM) cytokine expressed in HSCs, could drive fibrogenesis by modulating the HSC pro-fibrogenic phenotype and Col 1 expression. Here, we aimed to investigate the molecular mechanism of OPN regulating the activation of HSCs. Our results showed that hepatic expression of OPN was increased in patients with liver fibrosis. In addition, hepatic OPN was positively correlated with Col 1 and α-SMA. Recombinant OPN (rOPN) upregulated Col 1 and α-SMA expression in LX-2 cells. However, OPN knockdown downregulated Col 1 expression. The 3'-UTR of the collagen 1 (Col 1) was identified to bind miR-129-5p. Transfection of miR-129-5p mimic in HSC resulted in a marked reduction of Col 1 expression. Conversely, a decrease in miR-129-5p in HSCs transfected by anti-sense miR-129-5p (AS-miR-129-5p) caused Col 1 upregulation. Furthermore, luciferase reporter assay showed that miR-129-5p directly target the 3'-UTR of Col1α1 mRNA via repressing its post-transcriptional activities. Finally, miR-129-5p level was decreased in fibrotic liver of human, and reduced by rOPN treatment. In contrast, miR-129-5p was induced in HSCs transfected by OPN siRNA. These data suggested that OPN induces Col 1 expression via suppression of miR-129-5p in HSCs.