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Citrus has become a pivotal industry for the rapid development of agriculture and increasing farmers’ incomes in the main production areas of southern China. Knowing how to diagnose and control citrus huanglongbing has always been a challenge for fruit farmers. To promptly recognize the diagnosis of citrus huanglongbing, a new classification model of citrus huanglongbing was established based on MobileNetV2 with a convolutional block attention module (CBAM-MobileNetV2) and transfer learning. First, the convolution features were extracted using convolution modules to capture high-level object-based information. Second, an attention module was utilized to capture interesting semantic information. Third, the convolution module and attention module were combined to fuse these two types of information. Last, a new fully connected layer and a softmax layer were established. The collected 751 citrus huanglongbing images, with sizes of 3648 × 2736, were divided into early, middle, and late leaf images with different disease degrees, and were enhanced to 6008 leaf images with sizes of 512 × 512, including 2360 early citrus huanglongbing images, 2024 middle citrus huanglongbing images, and 1624 late citrus huanglongbing images. In total, 80% and 20% of the collected citrus huanglongbing images were assigned to the training set and the test set, respectively. The effects of different transfer learning methods, different model training effects, and initial learning rates on model performance were analyzed. The results show that with the same model and initial learning rate, the transfer learning method of parameter fine tuning was obviously better than the transfer learning method of parameter freezing, and that the recognition accuracy of the test set improved by 1.02~13.6%. The recognition accuracy of the citrus huanglongbing image recognition model based on CBAM-MobileNetV2 and transfer learning was 98.75% at an initial learning rate of 0.001, and the loss value was 0.0748. The accuracy rates of the MobileNetV2, Xception, and InceptionV3 network models were 98.14%, 96.96%, and 97.55%, respectively, and the effect was not as significant as that of CBAM-MobileNetV2. Therefore, based on CBAM-MobileNetV2 and transfer learning, an image recognition model of citrus huanglongbing images with high recognition accuracy could be constructed.

Melanoma is becoming increasingly common worldwide, with high rates of transformation into malignancy compared to other skin lesions. The prognosis of patients with melanoma at an advanced stage is highly unsatisfying despite the development of immunotherapy, target therapy, or combinative therapy. The major barrier to exploiting immune checkpoint therapies and achieving the best benefits clinically is resistance that can easily develop if regimens are not selected appropriately. In this study, we investigated the possibility of using immune-related genes to predict patient survival and their responses to immune checkpoint blocker therapies with the expression profiles available at The Cancer Genome Atlas (TCGA) Program plus expression data from the Gene Expression Omnibus (GEO) for validation. A five gene signature that is highly correlated with the local infiltration of cytotoxic lymphocytes in the tumor microenvironment was identified, and a scoring model was developed with stepwise regression after multivariate Cox analyses. The score calculated strongly correlates with Breslow depth, and this model effectively predicts the prognosis of patients with melanoma, whether primary or metastasized. It also depicts the heterogenous immune-related nature of melanoma by revealing different predicted responses to immune checkpoint blocker therapies through its correlation to tumor immune dysfunction and exclusion (TIDE) score.

Use of artificial intelligence to identify dermoscopic images has brought major breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the incidence of which is increasing year by year worldwide and poses a great threat to human health. Achievements have been made in the research of skin cancer image classification by using the deep backbone of the convolutional neural network (CNN). This approach, however, only extracts the features of small objects in the image, and cannot locate the important parts.As a result, researchers of the paper turn to vision transformers (VIT) which has demonstrated powerful performance in traditional classification tasks. The self-attention is to improve the value of important features and suppress the features that cause noise. Specifically, an improved transformer network named SkinTrans is proposed.To verify its efficiency, a three step procedure is followed. Firstly, a VIT network is established to verify the effectiveness of SkinTrans in skin cancer classification. Then multi-scale and overlapping sliding windows are used to serialize the image and multi-scale patch embedding is carried out which pay more attention to multi-scale features. Finally, contrastive learning is used which makes the similar data of skin cancer encode similarly so that the encoding results of different data are as different as possible.The experiment is carried out based on two datasets, namely (1) HAM10000: a large dataset of multi-source dermatoscopic images of common skin cancers; (2)A clinical dataset of skin cancer collected by dermoscopy. The model proposed has achieved 94.3% accuracy on HAM10000 and 94.1% accuracy on our datasets, which verifies the efficiency of SkinTrans.The transformer network has not only achieved good results in natural language but also achieved ideal results in the field of vision, which also lays a good foundation for skin cancer classification based on multimodal data. This paper is convinced that it will be of interest to dermatologists, clinical researchers, computer scientists and researchers in other related fields, and provide greater convenience for patients.

The clinical application of disulfiram (DSF) in cancer treatments is hindered by its rapid degradation in the blood circulation. In this study, methoxy poly(ethylene glycol)-b-poly(lactide-co-glycolide)/poly(e-caprolactone) (mPEG5k-b-PLGA2k/PCL3.4k) micelles were developed for encapsulation of DSF by using the emulsification–solvent diffusion method. Medium chain triglyceride (MCT) was incorporated into the mixed polymeric micelles to improve drug loading by reducing the core crystallinity. Differential scanning calorimetry (DSC) results implied that DSF is likely present in an amorphous form within the micelles, and is well dispersed. DSF is encapsulated within the core and the reservoir is stabilized by the hydrophilic shell to prevent rapid diffusion of DSF from the core. The DSF mixed micelles (DSF-MMs) showed good drug loading (5.90%) and a well-controlled particle size (86.4 ± 13.2 nm). The mixed micelles efficiently protected DSF from degradation in plasma, with 58% remaining after 48 h, while almo...

The purpose of the study was to develop a parenteral docetaxel lipid microsphere to inhibit its 7-epidocetaxel conversion in vitro and in vivo. 7-epidocetaxel conversion as the main indicator was investigated to optimize the formulation and process. 10% medium-chain triglyceride/long-chain triglyceride (3:1) as the oil phase, egg lecithin E80 as the emulsifier and 0.02% NaHSO3 as the acidity regulator were selected to prepare docetaxel lipid microsphere. This study found that pH and temperature were dominant factors on the epimerization of docetaxel in lipid microsphere, and that optimum conditions were a pH of 5.3 and thermal sterilization conditions of 121°Cautoclaving for 8min. According to the degradation kinetics, docetaxel lipid microsphere had a wider pH range where 7-epidocetaxel(%) stayed at low levels than Docetaxel for Injection, and might improve the docetaxel stability by loading drug in lecithin layer instead of altering the degradation mechanism. Docetaxel lipid microsphere decreased epimerization in plasma in vitro obviously. Pharmacokinetics of docetaxel and 7-epidocetaxel were investigated to quantify the 7-epidocetaxel conversion in vivo. The resulrs indicated that there was less conversion of docetaxel in lipid microspheres than in Docetaxel for Injection. The convert ratios were 0.61% and 3.04% respectively. In conclusion, lipid microsphere is a promising delivery system for intravenous administration of docetaxel with decreased 7-epidocetaxel conversion.

The high affinity of positively charged nanoparticles to biological interfaces makes them easily taken up by tumor cells but limits their tumor permeation due to non-specific electrostatic interactions. In this study, polyion complex coated nanoparticles with different charge reversal profiles were developed to study the influence of charge reversal profile on tumor penetration. The system was constructed by polyion complex coating using micelles composed of poly (lysine)- b -polycaprolactone (PLys- b -PCL) as the cationic core and poly (glutamic acid)- g - methoxyl poly (ethylene glycol) (PGlu- g -mPEG) as the anionic coating material. Manipulation of charge reversal profile was achieved by controlling the polymer chain entanglement and electrostatic interaction in the polyion complex layer through glutaraldehyde-induced shell-crosslinking. The delayed charge reversal nanoparticles (CTCL30) could maintain negatively charged in pH 6.5 PBS for at least 2 h and exhibit pH-responsive cytotoxicity and cellular uptake in an extended time scale. Compared with a faster charge reversal counterpart (CTCL70) with similar pharmacokinetic profile, CTCL30 showed deeper penetration, higher in vivo tumor cell uptake and stronger antitumor activity in vivo (tumor inhibition rate: 72.3% vs 60.2%, compared with CTCL70). These results indicate that the delayed charge reversal strategy could improve therapeutic effect via facilitating tumor penetration. Statement of Significance Here, the high tumor penetration capability of PEG-coated nanoparticles and the high cellular uptake of cationic nanoparticles were combined by a delayed charge reversal drug delivery system. This drug delivery system was composed of a drug-loading cationic inner core and a polyion complex coating. Manipulation of charge reversal profile was realized by varying the crosslinking degree of the shell of the cationic inner core, through which changed the strength of the polyion complex layer. Nanoparticles with delayed charge reversal profile exhibited improved tumor penetration, in vivo tumor cell uptake and in vivo tumor growth inhibition effect although they have similar pharmacokinetic and biodistribution behaviors with their instant charge reversal counterpart.

The genus Lonicera Linn. is among the most speciose in the Northern Hemisphere and has been important horticultural plants in China. Due to the lack of efficient molecular markers, although Lonicer...

The thermal conductivities of single-layer BC

The aim of the present investigation was to evaluate the effect of supersaturation on the oral absorption of paclitaxel (PTX) in vivo. To achieve this, a PTX amorphous solid dispersion (ASD) was prepared by the solvent cast method. Among the enteric polymers tested, hypromellose acetate succinate (HPMCAS) MF was found to be the most suitable polymer for maintaining PTX supersaturation and inhibiting crystallization in vitro. The dissolution rate and extent of the ASD was remarkably improved compared with a physical mixture (PM) of PTX, HPMCAS-MF, and Poloxamer 188 (F68), reaching an apparent drug concentration of 25–30 μg/mL and maintaining it for more than 2 h. The liquid–liquid phase separation (LLPS) concentration of PTX in the presence of HPMCAS-MF was determined to be 23 μg/mL, which was different to that of 40 μg/mL in the absence of polymer. It indicated that HPMCAS was substantially incorporated into the drug-rich phase. Also, HPMCAS could absorb to the PTX surface and provided an interfacial barrier for crystal growth, as well as retard the incorporation of PTX from solution into the growing crystal lattice. The results of X-ray diffraction, differential scanning calorimetry analysis, and transmission electron microscopy confirmed that PTX existed in the amorphous state in the solid dispersion. Compared with the PM group, the ASD prepared with HPMCAS-MF and F68 achieved a 1.78-fold increase in relative oral bioavailability, while PTX solution yielded a 1.56-fold increase, which could be explained that the solubility and the permeability of PTX were not increased simultaneously through supersaturation in vivo. Likely, it was because Cremophor inhibited P-glycoprotein in the intestine to some extent and maintained PTX at a higher concentration for a longer time.

Enteric polymers have been found with absorption promotion effect on nanoparticles. To study the role of enteric polymers played in the process of oral nanoparticle delivery, Eudragit L100-55 (EU) and sodium alginate (SA) were selected as model enteric polymers and larotaxel (LTX) as model drug. Suspensions composed of LTX-loaded nanoparticles, HPMC and different enteric polymers (EU and SA) were prepared (NP@EU, NP@SA). And aspects like precipitate morphology upon contact with acid, nanoparticle encapsulation capability, in vitro drug release, intestinal residence and in vivo oral bioavailability were studied. It was found that precipitates formed by EU could encapsulate more NP in acidic environment than those of SA (>95% of EU vs. approximately 70% of SA), and this difference in NP encapsulation was found correlated with the morphology of the precipitates formed: precipitates of EU appeared as three dimensional granules with dense inner structure, while SA precipitated into film-like porous structures. Results of pharmacokinetic study indicated that both EU and SA were capable in improving LTX absorption with absolute bioavailability of 77.1% and 42.5%, respectively. And the better absorption promoting effect of NP@EU was correlated with its longer intestinal residence shown by the results of ex vivo imaging study. In conclusion, both EU and SA could improve the oral bioavailability of LTX-loaded NP, and NP encapsulation capability and intestinal residence time are considered as key factors affecting the degree of absorption promotion.

Deglycosylation is the most important gastrointestinal metabolism in which ginsenosides are split off from glycosyl moieties by the enzymes secreted from intestinal microflora, and two possible metabolic pathways of protopanaxdiol-type ginsenosides (PPD-type ginsenosides) and protopanaxtriol-type ginsenosides (PPT-type ginsenosides) have been concluded. The former is deglycosylated at C-3 and/or C-20, and transformed to protopanaxdiol (PPD). By comparison, the latter is deglycosylated at C-6 and/or C-20, and eventually transformed to protopanaxtriol (PPT) instead. The pharmacokinetic behavior of PPD-type ginsenosides and PPT-type ginsenosides is different, mainly in a faster absorption and elimination rate of PPT-type ginsenosides, but almost all of ginsenosides have a low oral bioavailability, which is relevant to the properties, the stability in the gastrointestinal tract, membrane permeability and the intestinal and hepatic first-pass effect of ginsenosides. Fortunately, its bioavailability can be improved by means of pharmaceutical strategies, including nanoparticles, liposomes, emulsions, micelles, etc. These drug delivery systems can significantly increase the bioavailability of ginsenosides, as well as controlling or targeting drug release. Ginsenosides are widely used in the treatment of various diseases, the most famous one is the Shen Yi capsule, which is the world's first clinical application of tumor neovascularization inhibitors. Hence, this article aims to draw people's attention on ocotillol-type ginsenosides, which have prominent anti-Alzheimer's disease activity, but have been overlooked previously, such as its representative compound-Pseudoginsenoside F11(PF11), and then provide a reference for the druggability and further developments of ocotillol-type ginsenosides by utilizing the homogeneous structure between dammarane-type ginsenosides and ocotillol-type ginsenosides.

The clinical application of disulfiram (DSF) in cancer treatments is hindered by its rapid degradation in the blood circulation. In this study, methoxy poly(ethylene glycol)- b-poly(lactide- co-glycolide)/poly(ε-caprolactone) (mPEG

To develop an injectable formulation and improve the stability of disulfiram (DSF), DSF was encapsulated into mixed nanoparticles (DSF-NPs) through a high-pressure homogenization method. The Flory-Huggins interaction parameters (χFH) were calculated to predict the miscibility between DSF and the hydrophobic core, resulting in PCL5000 selected as the hydrophobic block to encapsulate the DSF, as PCL5000 had a lower χFH 3.39 and the drug loading of the nanoparticles prepared by mPEG5000-PCL5000 was relatively higher. mPEG5000-PCL5000 and PCL5000 were blended to reduce the leakage of DSF during preparation, as well as increase the stability of the nanoparticles. The cargo-loading capacity of the nanoparticles was improved from 3.35% to 5.50% by reducing the crystallinity of the PCL nanoparticle core, and the crystallinity decreased from 51.13% to 25.15% after adding medium chain triglyceride (MCT). The DSF-NPs prepared by the above method had a small particle size of 98.1 ± 10.54 nm, with a polydispersity index (PDI) of 0.036, as well as drug loading of 5.50%. Furthermore, DSF-NPs containing MCT showed higher stability than DSF-NPs without MCT and DSF-sol (DSF dissolved in Cremophor EL and ethanol) in water and 90% plasma-containing PBS. The pharmacokinetics proved that DSF-NPs containing MCT enhanced the DSF concentration in the blood. Finally, DSF-NPs effectively inhibited H22 xenograft tumor growth in vivo.

Environmental heterogeneity is considered to play a defining role in promoting invasion success, and it favours clonal plants. Although clonality has been demonstrated to be correlated with the invasion success of several species of clonal invasive plants in heterogeneous environments, little is known about how the spatial scale of heterogeneity affects their performance. In addition, the factors that distinguish invasive from non-invasive clonal species and that enhance the invasive potential of clonal exotic invaders in heterogeneous environments remain unclear. In this study, we compared several traits of a noxious clonal invasive species, Alternanthera philoxeroides, with its co-occurring non-invasive functional counterparts, the native congener Alternanthera sessilis, the exotic Myriophyllum aquaticum and the native Jussiaea repens, in three manipulative substrates with different soil distribution patterns. We found that the invasive performance of A. philoxeroides was not enhanced by heterogeneity and that it was generally scale independent. However, A. philoxeroides showed some advantages over the three non-invasives with respect to trait values and phenotypic variation. These advantages may enhance the competitive capacity of A. philoxeroides and thus promote its invasion success in heterogeneous environments.

Two major models, namely direct and indirect models, have been proposed for the protein chemical denaturation but it remains challenging to experimentally demonstrate and distinguish between them. Here, by use of CD and NMR spectroscopy, we succeeded in differentiating the effects on a small but well-folded protein WW4, of GdmCl and NaSCN at diluted concentrations (≥200 mM). Both denaturants up to 200 mM have no alternation of its average structure but do reduce its thermodynamic stability to different degrees. Despite acting as the stronger denaturant, GdmCl only weakly interacts with amide protons, while NaSCN shows extensive interactions with both hydrophobic side chains and amide protons. Although both denaturants show no significant perturbation on overall ps-ns backbone dynamics of WW4, GdmCl suppresses while NaSCN enhances its μs-ms backbone dynamics in a denaturant concentration dependent manner. Quantitative analysis reveals that although they dramatically raise exchange rates, GdmCl slightly increases while NaSCN reduces the population of the major conformational state. Our study represents the first report deciphering that GdmCl and NaSCN appear to destabilize a protein following two models respectively, which are characteristic of opposite μs-ms dynamics.

In this paper, we consider a nonlinear transmission problem modelling elastoplastic interface problems with contact and Coulomb friction. To solve this problem, we present a new coupling method of finite element and boundary element by adding an auxiliary circle and derive a priori error estimate for the coupled FEM-BEM problem.

We demonstrated that M2 transmembrane peptide, one of the most hydrophobic sequences in nature, can be solublized to at least ~100 µM in unsalted water without any lipid molecules. Strikingly, the M2 peptide also forms a highly-helical conformation in water which remains almost unchanged even at 95 ºC, as characterized by CD spectroscopy. Our result has critical implications in understanding emergence of proteins and protein-embedded primeval membranes in unsalted oceans.

Ions are commonly believed to impose their effects on proteins by unspecific electrostatic screening. Here, by NMR we reveal that in water sulfate, chloride and thiocyanate are able to bind a well-folded WW domain at distinctive residues and affinities, which is surprisingly masked by the pre-existing buffer. Our study reveals that the specific anion binding is so ubiquitous and consequently no longer negligible in establishing "postreductionist framework" for protein biochemistry.

Ions are commonly believed to impose their effects on proteins by unspecific electrostatic screening. Here, by NMR we reveal that in water sulfate, chloride and thiocyanate are able to bind a well-folded WW domain at distinctive residues and affinities, which is surprisingly masked by the pre-existing buffer. Our study reveals that the specific anion binding is so ubiquitous and consequently no longer negligible in establishing "postreductionist framework" for protein biochemistry.

This article demonstrates a novel method to fabricate micro-bump on polymer surface by the laser rear-side irradiation. In this method, a metal sacrificial layer is prepared between the transparent substrate and the polymer.

This paper presents a fast and efficient fabrication method for microlens array by using laser swelling. A picosecond laser with wavelength of 532nm and a methyl red doped polymethylmethacrylate (PMMA) film are used in experiments.

Insoluble proteins dissolved in unsalted water appear to have no well-folded tertiary structures. This raises a fundamental question as to whether being unstructured is due to the absence of salt ions. To address this issue, we solubilized the insoluble ephrin-B2 cytoplasmic domain in unsalted water and first confirmed using NMR spectroscopy that it is only partially folded. Using NMR HSQC titrations with 14 different salts, we further demonstrate that the addition of salt triggers no significant folding of the protein within physiologically relevant ion concentrations. We reveal however that their 8 anions bind to the ephrin-B2 protein with high affinity and specificity at biologically-relevant concentrations. Interestingly, the binding is found to be both salt- and residue-specific.