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Although patients are undergoing similar lipid-lowering therapy (LLT) with statins, the outcomes of coronary plaque in diabetic mellitus (DM) and non-DM patients are different. Clinical data of 239 patients in this observational study with acute coronary syndrome was from our previous randomized trial were analyzed at 3 years, and 114 of them underwent OCT detection at baseline and the 1-year follow-up were re-anlayzed by a novel artificial intelligence imaging software for nonculprit subclinical atherosclerosis (nCSA). Normalized total atheroma volume changes (ΔTAVn) of nCSA were the primary endpoint. Plaque progression (PP) was defined as any increase in ΔTAVn. DM patients showed more PP in nCSA (ΔTAVn; 7.41 (− 2.82, 11.85) mm3 vs. − 1.12 (− 10.67, 9.15) mm3, p = 0.009) with similar reduction of low-density lipoprotein cholesterol (LDL-C) from baseline to 1-year. The main reason is that the lipid component in nCSA increases in DM patients and non-significantly decreases in non-DM patients, which leads to a significantly higher lipid TAVn (24.26 (15.05, 40.12) mm3 vs. 16.03 (6.98, 26.54) mm3, p = 0.004) in the DM group than in the non-DM group at the 1-year follow-up. DM was an independent predictor of PP in multivariate logistic regression analysis (OR = 2.731, 95% CI 1.160–6.428, p = 0.021). Major adverse cardiac events (MACEs) related to nCSA at 3 years were higher in the DM group than in the non-DM group (9.5% vs. 1.7%, p = 0.027). Despite a comparable reduction in LDL-C levels after LLT, more PP with an increase in the lipid component of nCSA and a higher incidence of MACEs at the 3-year follow-up was observed in DM patients.Trial registration: ClinicalTrials.gov. identifier: NCT02140801.

In this research, a tumor exosome system DOX/2DG@E-RENPs with good biocompatibility, low immunogenicity, and a high targeting effect was proposed for theranostics with high chemo-/starvation/immunotherapy efficiency.

In this research, rare earth nanoparticles coupled with dihydroartemisinin (DHA) and a targeted antibody (RENP-DHA-Cap) for sprayed NIR II imaging and photodynamic therapy (PDT) of tongue cancer were designed. Genetic algorithms combined with combinatorial chemistry were proposed and successfully achieved in a single optimized luminescent phosphor with enhanced NIR II and high upconversion luminescence (UCL) under a NIR laser of wavelength 980 nm or/and 808 nm. In particular, T1 magnetic resonance imaging (MRI) signals can be adjusted with the Gd ion concentration. In combination with the targeted antibody of capmatinib (Cap), precise NIR II imaging for

Up-conversion (or anti-Stokes) luminescence refers to the phenomenon whereby materials emit high energy, short-wavelength light upon excitation at longer wavelengths. Lanthanide-doped up-conversion nanoparticles (Ln-UCNPs) are widely used in biomedicine due to their excellent physical and chemical properties such as high penetration depth, low damage threshold and light conversion ability. Here, the latest developments in the synthesis and application of Ln-UCNPs are reviewed. First, methods used to synthesize Ln-UCNPs are introduced, and four strategies for enhancing up-conversion luminescence are analyzed, followed by an overview of the applications in phototherapy, bioimaging and biosensing. Finally, the challenges and future prospects of Ln-UCNPs are summarized.

Photothermal therapy has a remarkable effect on the destruction of tumors. It kills tumor cells by photothermal ablation and induces immunogenic cell death to activate the immune response in tumor...

The sclerotised beaks of cephalopods have emerged as useful material to track their habitat and trophic ecology by using stable isotope analysis, because beaks grow continuously throughout their life without replacement. Here, stable isotopes of δ13C and δ15N in five continuous sections along the crest were measured to investigate the potential ontogenetic habitat shift and foraging-ecology change of Dosidicus gigas from the oceanic waters off Ecuador. In total, 90 sections from 18 upper beaks were examined with δ13C values of −18.99 to −17.49‰ and δ15N values of 0.69 to 7.09‰. Kruskal–Wallis test showed that there were significant differences in both isotopes between sections. The result of generalised additive models showed a significant overall decrease in both δ13C and δ15N values across the beak crest. The corrected standard ellipse area (SEAc) of the beak sections was 0.48 to 0.93‰2, with no high overlap between the two sections, with values ranging from 0.00 to 0.57. High individual variation of δ15N values in most beak sections indicated that D. gigas in our study area appears to have a generalist food spectrum in most of its life history, except for the stage just before being captured.

The efficient and durable oxygen reduction reaction (ORR) catalyst is of great significance to boost power generation and pollutant degradation in microbial fuel cells (MFCs). Although transition metal-nitrogen-codoped carbon materials are an important class of ORR catalysts, copper-nitrogen-codoped carbon is not considered a suitable MFC cathode catalyst due to the insufficient performance and especially instability. Herein, we report a three-dimensional (3D) hierarchical porous copper, nitrogen, and boron codoped carbon (3DHP Cu-N/B-C) catalyst synthesized by the dual template method. The introduced B atom as an electron donor increases the electron density around the Cu-N

Purpose This national study aimed to investigate the lung ultrasound (LUS) training and practice of respiratory therapists (RTs) in mainland China. Methods A cross-sectional multicenter survey was conducted from May 22, 2021 to August 12, 2021, through online platforms. This survey included RTs in mainland China. The survey was divided into four sections: (1) demographic characteristics and basic information; (2) basic information about LUS training and practice; (3) LUS practice details; and (4) Other ultrasound training and practice. Results A total of 514 responses were received, and 494 valid responses were included in the analysis. 81.2% (401/494) participants’ highest degree of education was a bachelor’s degree, and 43.1% (213/494) participants were at level II in terms of job ranking. 99.2%(490/494) participants agreed that the RTs needed to learn lung ultrasound, but only 12.3% (61/494) participants had received a LUS training course. Further, 66.2% (327/494) experienced participants responded to Sect. 3. Most of RTs used LUS when the patient had hypoxia (265/327, 81%) or dyspnea (260/317, 79.5%); they also used it during spontaneous breathing trial(SBT) (191/327, 58.4%) or in prone position (177/327, 54.1%). The A-line (302/327, 92.4%), B-line (299/327, 91.4%), lung slide (263/327, 80.4%), and bat sign (259/327, 79.2%) were well known as LUS signs. Also, 30.6% (100/327) participants did not use the LUS protocol in their clinical practice, and only 25.4%(83/327) participants said they had used LUS scores. Moreover, 55.7% (182/327) participants frequently changed the respiratory therapy strategy according to LUS results. Conclusions We should improve the number and workplace of RTs in mainland China in the future. We should also standardize the application of LUS practice and training for RTs in mainland China and establish corresponding certification pathways.

In this research, a NIR II luminescence imaging and enhanced chemo-/photothermal therapy system of CuS-DOX-Nd/FA NPs for breast cancer and lymph node tracing under single 808 nm irradiation is proposed. Nd-DTPA molecular cluster with the NIR II imaging effect as the carrier was designed to load the ultrasmall CuS nanoparticles and chemotherapeutic drug doxorubicin hydrochloride (DOX). The composite probe is used for tumor lesion imaging and tracking the breast cancer sentinel lymph nodes with simultaneous chemo-/photothermal therapy (PTT) for breast cancer under the single 808 nm laser. This designed probe not only has high permeability and retention (EPR) targeting effect but also can respond to the tumor microenvironment (TME), realizing more precise and efficient release of DOX at the cancer focus. At the same time, CuS as a drug carrier has a good photothermal therapy effect (photothermal conversion efficiency: 27.9%). The serialized released chemotherapy DOX and synergistic PTT effect can be used to the treat the in situ breast cancer land and simultaneously kill the metastasis cancer. The system made the combined molecular clusters Nd-DTPA achieve NIR II imaging of tumor lesions of breast cancer and lymph node to obtain the integration of diagnosis of the transferred disease for better prognosis. The feasibility of the system had obvious tumor growth inhibition effect with NIR II imaging guided is verified by a series of in vitro and in vivo experiments.

The development of eco-friendly connection material instead of steel is a challenging problem in timber structures. Following densification, the mechanical properties of low-density species can be significantly improved. Densified wood may be a potential connection material in timber structures. This paper reviewed the different processing for densified wood, and obtained favorable mechanical properties and dimensional stability based on small specimen sizes, which are much less than the applicable sizes in practice. A densification processing with alkali pretreatment was adopted for poplar widely cultivated in the world to produce the densified poplar, which has been rarely reported as connection material. Various specimens of densified poplar were tested to obtain their main mechanical properties such as strength and deformability. The set recovery of densified poplar was also measured to observe their dimensional stability. In addition, the hygroscopic swelling strains for the diameter of densified poplar dowel were measured to present their moisture-dependent behavior. The improved mechanical properties and dimensional stability confirmed the fact that densified poplar with alkali pretreatment can be an optimal connection material.

Early diagnosis is critical and challenging for tongue squamous cell carcinoma (TSCC), which is a kind of tumor with high malignancy, poor prognosis, and a high incidence of invasion and metastasis. In this research, dual-modal optical imaging rare earth nanoparticle (RENP) probes with peptide functionalization are designed for targeted TSCC imaging and therapy. RENP@C@Au (UCA) with enhanced red upconversion luminescence (UCL) and near infrared II (NIR II) imaging intensity is designed by metal and codopant modulation, and the two peaks at about 650 nm and 1064 nm of Nd ions are relatively stable with less quenching and suitable for luminescence bioimaging. Then, the cMBP peptide targeted to Cal 27 TSCC cells with highly expressed c-MET proteins is combined with UCA. Compared with human's normal cells of MCF-10A, other tumor cell lines such as A549 and HeLa, together with mice tumor cells of 4T1, the designed probe has targeted imaging and therapy to Cal 27. The final in vivo experiment shows that the probe with high NIR II luminescence signals is not easy to retain when injected into the tail vein, indicating its potential precise clinical application for the diagnosis and therapy of TSCC.

Background Immunotherapy has improved the prognosis of patients with advanced non-small cell lung cancer (NSCLC), but only a small subset of patients achieved clinical benefit. The purpose of our study was to integrate multidimensional data using a machine learning method to predict the therapeutic efficacy of immune checkpoint inhibitors (ICIs) monotherapy in patients with advanced NSCLC.Methods We retrospectively enrolled 112 patients with stage IIIB-IV NSCLC receiving ICIs monotherapy. The random forest (RF) algorithm was used to establish efficacy prediction models based on five different input datasets, including precontrast computed tomography (CT) radiomic data, postcontrast CT radiomic data, combination of the two CT radiomic data, clinical data, and combination of radiomic and clinical data. The 5-fold cross validation was used to train and test the random forest classifier. The performance of the models was assessed according to the area under the curve (AUC) in the receiver operating characteristic (ROC) curve. Survival analysis was performed to determine the difference in progression-free survival (PFS) between two groups with the prediction label generated by the combined model.Results The radiomic model based on the combination of precontrast and postcontrast CT radiomic features and the clinical model produced an AUC of 0.92 ± 0.04 and 0.89 ± 0.03, respectively. By integrating radiomic and clinical features together, the combined model had the best performance with an AUC of 0.94 ± 0.02. The survival analysis showed that the two groups had significantly different PFS time (P < 0.0001).Conclusion The baseline multidimensional data including CT radiomic and multiple clinical features were valuable in predicting the efficacy of ICIs monotherapy in patients with advanced NSCLC.

Heated humidified high-flow oxygen therapy, administered using a nasal cannula, is called high-flow nasal cannula (HFNC). HFNC has been introduced and is used as a respiratory support mode in patie...

A numerical methodology based on the coupling of computational fluid dynamics (CFD) and computational structural dynamics is established to obtain the trimming characteristics of flexible aircrafts in this paper. Reynolds-averaged Navier–Stokes equations are solved through CFD technique. Based on the frame of unstructured mesh, techniques of dynamic chimera mesh and morphing mesh are adopted to treat the data transfer between different computational zones and structure deformation caused by aeroelasticity, respectively. When it is applied to a projectile model with large slenderness ratio constructed in this paper, convergence histories of various initial conditions demonstrate the efficiency and robustness of the algorithm. The influence of the structural rigidity and normal loads on the trimming condition of flexible projectiles is investigated, and the locations of the aerodynamic center with various rigidities present the explanation that elastic deformation can move the aerodynamic center forward and weaken the margin of the stability. Furthermore, the trimming condition of flexible projectiles with propulsion is researched, which indicates that thrust misalignment will increase the effect of elastic deformation on the trimming condition, and the stability margin will be further weakened because of thrust misalignment. The conclusion provided in this paper can provide guidance for the structural design, control system design, and stability analysis for modern aircrafts with small stability margin and low rigidity.

N16 is an active protein existing in Pinctada martensi. Our previous studies have demonstrated that N16 inhibited osteoclast differentiation in vitro. To better understand how N16 regulates osteoclast differentiation, RAW264.7 cells, a murine monocytic cell line and murine bone marrow-derived macrophages (BMMs) were adopted. Treatment of RAW264.7 cells with RANKL activated osteoclastogenesis and N16 inhibited the formation of multinucleated osteoclasts and TRAP activity. The suppression occurred at the early stage of osteoclastogenesis. Moreover, we found that N16 inhibited PU.1 and MITF expressions, mirroring the inhibition of RANK expressions, indicating that N16 inhibited RANK expression by down-regulating the expressions of MITF and PU.1, thus preventing osteoclastogenesis.

In this research, a new type of mitochondrial-imaging probe using spindle nanocomposite with adjustable aspect ratios and enhanced upconversion luminescent (UCL) property was designed for synergist...

In this research, machine learning including the genetic algorithm (GA) and support vector machine (SVM) algorithm is used to solve the "low up-conversion luminescence (UCL) intensity" problem in order to find the optimal phosphor with enhanced red UCL emission using multielement K/Li/Mn metal modulation. Compared with the first generation of phosphors, the best phosphors' fluorescence intensity occurs in the third generation optimized by the GA, with a stronger brightness (4.91-fold), a higher relative quantum yield (6.40-fold), and an enhanced tissue penetration depth (by 5 mm). The single and multiple dopants effect on the upconversion intensity of K+Li+Mn sensitizers is also studied: the intensity increases first and then decreases with the increase of Yb/Er/K+Li+Mn content, and the optimized K+Li+Mn concentration is 6.03%. In order to confirm the stability of the brightness optimization by the GA, a batch of phosphors was synthesized with the same element proportion, and the similarity of fluorescence intensity of two batches of phosphors was evaluated by the SVM algorithm with the classification accuracy index. Finally, the optimized phosphor was used for bioimaging and phosphor-LED.

In this research, typical organic/inorganic photothermal therapy (PTT) agents were designed with a combination of upconversion luminescent (UCL) or near-infrared (NIR) II imaging rare-earth nanomaterials for photo-acoustic (PA)/UCL/NIR II imaging-guided PTT under NIR laser irradiation. The results show the following: (1) The PTT effect mainly comes from NIR absorption and partly from UCL light conversion. (2) Visible UCL emission is mainly quenched by NIR absorption of the coated PTT agent and partly quenched by visible absorption, indicating that excitation may play a more important role than in the UCL emission process. (3) The biostability of the composite might be decided by the synthesis reaction temperature. Among the five inorganic/organic nanocomposites, UCNP@MnO2 is the most suitable candidate for cancer diagnosis and treatment because of its stimuli-response ability to the micro-acid environment of tumor cells and highest biostability. The composites generate heat for PTT after entering the tumor cells, and then, the visible light emission gradually regains as MnO2 is reduced to colorless Mn2+ ions, thereby illuminating the cancer cells after the therapy.

Based on the investigation data of 44 stations in the area 28°－35° N, 147°－154° E of the Northwestern Pacific Ocean by the research ship 'Songhang' in March 2019, we analyzed species composition and distribution of zooplankton to understand zooplankton community structure in the subtropical areas of the Northwestern Pacific Ocean. The results showed that a total of 456 zooplankton species (including planktonic larvae and unidentified species) were recorded in the surveyed area, which were belonged to 8 categories and 14 groups. There were 163 species of copepods, as the dominant group. The dominant species included 9 warm-water species,为了解西北太平洋亚热带海域浮游动物群落结构,根据2019年3月“淞航号”调查船在西北太平洋(28°—35° N,147°—154° E)44个站点进行渔业资源调查期间采集的浮游动物样本,分析了浮游动物的种类组成与分布。结果表明: 该海域共鉴定出浮游动物456种(含浮游幼体和未定种),属于14个类群8个门类,其中桡足类163种,为最优势类群。优势种包括9种暖水种: 螺旋尖角水母、瘦新哲水蚤、瘦乳点水蚤、肥胖箭虫、邦海樽、六鳍箭虫、喙真胖水蚤、小哲水蚤、细角间哲水蚤,以及1种温带种捷氏哲水蚤。暖流指示种六鳍箭虫和寒流指示种捷氏哲水蚤均是优势种并同时出现在亚热带海域,表明亲潮和黑潮对该海域浮游动物的多样性和时空分布具有重要影响。各站点平均生物量为(31.64±23.81) mg·m

Additional file 1.

Kolmogorov's (1941) theory of self-similarity implies the universality of small-scale eddies, and holds promise for a universal sub-grid scale model for large eddy simulation. The fact is the empirical coefficient of a typical sub-grid scale model varies from 0.1 to 0.2 in free turbulence and damps gradually to zero approaching the walls. This work has developed a Lattice Eddy Simulation method (LAES), in which the sole empirical coefficient is constant (Cs=0.08). LAES assumes the fluid properties are stored in the nodes of a typical CFD mesh, treats the nodes as lattices and makes analysis on one specific lattice, i. To be specific, LAES express the domain derivative on that lattice with the influence of nearby lattices. The lattices right next to i, which is named as i+, "collide" with i, imposing convective effects on i. The lattices right next to i+, which is named as i++, impose convective effects on i+ and indirectly influence i. The influence is actually turbulent diffusion. The derived governing equations of LAES look like the Navier-Stokes equations and reduce to filtered Naiver-Stokes equations with the Smagorinsky sub-grid scale model (Smagorinsky 1963) on meshes with isotropic cells. LAES yields accurate predictions of turbulent channel flows at Re=180, 395, and 590 on very coarse meshes and LAES with a constant Cs perform as well as the dynamic LES model (Germano et al. 1991) does. Thus, this work has provided strong evidence for Kolmogorov's theory of self-similarity., Comment: 12 pages,11 figures

The development of bifunctional catalysts is an effective way to simultaneously address the slow kinetics of oxygen reduction reaction (ORR) on the cathode and biofilm contamination in the microbial fuel cells (MFC). Cu-N/C@Cu composites were synthesized as bifunctional cathode catalysts for MFC by doping, adsorption, and two calcinations by using Cu-ZIF-8 as the precursor. The higher Cu-N

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In this research, a fluorescent probe of 7-(diethylamine) coumarin derivatives with multiple binding sites to detect biothiols in tumor cell with strong NIR II luminescence in vivo was synthesized. The biothiols include cysteine (Cys) and glutathione (GSH) in tumor cells, and the tumor-response luminescence was proved by the cell experiment. Importantly, the monolayer functional phospholipid (DSPE-PEG) coating and aggregation induced emission (AIE) dye of TPE modification made the probe have good stability and biocompatibility with little luminescence quenching in aqueous phase, which was proved by in vitro and in vivo experiments. The final aqueous NIR II probe combined with bevacizumab (for VEGF recognition in the cancer cells) and Capmatinib (for Met protein recognition in the cancer cells) has stronger targeted imaging on head and neck squamous cell carcinoma (HNSCC) cancer with intravenous injection. This GSH/Cys detection in the tumor cell and strong dual-molecular NIR II bioimaging in vivo may provide new strategy to tumor detection.

In this research, degradable peptide-modified upconversion nanoparticles (ZUPEA) were designed for the NIR II imaging and upconversion luminescence (UCL) guided photodynamic therapy (PDT) of triple-negative breast cancer (TNBC). Ultra-small rare-earth nanoparticles (RENPs) and the polymer mPEG-PLGA are polymerized into nano-microspheres via a double emulsion synthesis method, and a photosensitizer molecule (ZnPc) is added during the polymerization process to generate ZUPEA. Under 980 nm excitation, this strategy enhanced the red emission at 650 nm, showing an energy transfer efficiency of 38.3%, and the designed RENPs have better NIR II imaging abilities with a core@shell structure. These ZUPEA nanoparticles have good photodynamic therapeutic effects in vitro, and they can be degraded into small nanoparticles with a size of less than 6 nm. The cMBP-peptide-modified luminescent probe can recognize MDA-MB-231 TNBC cells in vivo when intravenously injected due to the positive targeted imaging effects of the cMBP peptide toward MET and negative targeted imaging effects relating to enhanced permeability and retention (EPR ). This specially designed ZUPEA probe with integrated diagnosis and treatment functionality provides new ideas and prospects for the use of rare-earth nanoparticles in the clinical treatment of tumors.

Objectives―To explore the potential significance of the reverberation of calcification by comparing both intravascular ultrasound (IVUS) and optical coherence tomography (OCT) measurement post manual coregistration.Background―The reverberation phenomenon is often detected by IVUS for severe calcified lesions post rotational atherectomy (RA), which is thought to be due to the glassy and smooth inner surfaces of calcifications. Because of the poor penetration of IVUS, it is impossible to measure the thickness of calcifications, and the relationship between multiple reverberations and the thickness of calcification lesions has not been reported before.Methods―A total of forty-nine patients with severe calcified coronary lesions that were detected by IVUS and OCT simultaneously were enrolled in our retrospective study. If reverberation phenomena were detected by IVUS, intravascular imaging (IVI) data (including distance between the IVUS catheter center and the inner surface of the reverberation signal, the intervals between all adjacent reverberation signals, the number of layers of reverberation in IVUS, and the thickness of the calcification in OCT) were measured at the same position and same direction (each cross-section had 4 mutually perpendicular directions) at 1-mm intervals. If the observational point (direction) had a reverberation signal, it was an effective observational point that would be enrolled in our study; otherwise, it would be regarded as an invalid observational point and excluded from this study. The correlation between each reverberation observational value and OCT data was the primary target in this retrospective study. Results―Four hundred twenty-eight valid observational points were analyzed simultaneously by IVUS and OCT; among them, 300 points had a single layer of reverberation, 83 had double layers of reverberation and 42 had multiple layers (≥3 layers) of reverberation by IVUS detection post-RA. Multivariate logistic regression analysis showed that the number of layers of reverberation by IVUS was significantly related to the thickness of calcifications by OCT at the same point and in the same direction (pConclusions―The number of layers of reverberation signal detected by IVUS is positively correlated with the thickness of calcifications measured by OCT post-RA.

Based on the survey data of Lishui City, Zhejiang Province, this paper uses the Heckman two-stage model to construct a credit constraint function without selection bias, and explores the relationship between the scale and quality of the relationship network and the credit constraints of rural households. Research shows that the scale of the relationship network is affected adversely by urbanization and networking, having a weaker impact on the formal credit constraints of rural households. The quality of the relationship networks can improve farmers’ awareness of formal credit, reduce transaction exposure, regulate farmers’ behavior and act as a “guarantee”, thereby effectively alleviating farmers’ formal credit constraints. At the same time, the relationship network of farmers is gradually becoming more structured, where farmers' social interests are becoming more purposeful. Additionally, formal financial institutions have set a threshold for farmers’ credit, which requires a certain amount of securities for money.

Naringin and its aglycone, naringenin, occur naturally in our regular diet and traditional Chinese medicines. This study aimed to detect an effective therapeutic approach for cough variant asthma (CVA) through evaluating the relaxant effect of these two bioactive herbal monomers as antitussive and antiasthmatic on rat tracheal smooth muscle. The relaxant effect was determined by measuring muscular tension with a mechanical recording system in rat tracheal rings. Cytosolic Ca2+ concentration was measured using a confocal imaging system in primary cultured tracheal smooth muscle cells. In rat tracheal rings, addition of both naringin and naringenin could concentration dependently relax carbachol (CCh)-evoked tonic contraction. This epithelium-independent relaxation could be suppressed by BaCl2, tetraethylammonium, and iberiotoxin (IbTX), but not by glibenclamide. After stimulating primary cultured tracheal smooth muscle cells by CCh or high KCl, the intracellular Ca2+ increase could be inhibited by both naringin and naringenin, respectively. This reaction was also suppressed by IbTX. These results demonstrate that both naringin and naringenin can relax tracheal smooth muscle through opening big conductance Ca2+-activated K+ channel, which mediates plasma membrane hyperpolarization and reduces Ca2+ influx. Our data indicate a potentially effective therapeutic approach of naringin and naringenin for CVA.

Four isostructural dinuclear lanthanide complexes based on 4-azotriazolyl-3-hydroxy-2-naphthoic acid (H3ATNA) and 3-hydroxy-2-naphthoic acid (H2NA) ligands, {[Ln2(HATNA)2(HNA)2(H2O)4]·6DMF} (Ln = Dy (1), Tb (2), Sm (3), Eu (4); DMF = N, N-dimethylformamide) have been prepared and characterized by X-ray diffraction crystallography, dc/ac magnetic characterization, and fluorescent spectrometry. The crystallographic data reveal dinuclear lanthanide cores of complexes 1-4, bridged by phenoxo and μ1,3 carboxyl groups. Each nine-coordinated Ln(III) ion is located in a slightly distorted monocapped square antiprism. The ligand of H3ATNA displays a unique antenna effect in complex 4. Complexes 1-3 display only two ligand-centered fluorescent emissive peaks around 450 and 600 nm, and complex 4 shows four characteristic Eu(III)-centered emission bands at 593, 618, 653, and 698 nm under excitation at 348 nm. Complex 1 exhibits single-molecule magnet behavior that is rationalized through ab initio calculations.

The recognition and classification of the multi-channel microseismic waveform are important for mine hazard prediction. It is widely used to design the corresponding waveform feature for recognition and classification of the microseismic waveform by hand. The process of designing features manually is arduous and the results of recognition and classification are not ideal. In this paper, we propose a method combining Deep Convolutional Neural Networks (DCNN) with Support Vector Machine (SVM) for identifying the microseismic waveform automatically. We constructed a DCNN structure to train the optimal weight model named the DCNN-Model. The DCNN-Model is used as a tool for extracting features from multi-channel waveforms. After combining the extracted features, we used SVM to classify multi-channel waveforms. We compared the outputs of other classifiers, such as Random Forest and k-Nearest Neighbor (KNN). To extend the dataset of DCNN training and extract the essential characteristics of waveform images more accurately, we pre-process the raw data by means of filtering and de-nosing. The experiment shows that the recognition and classification method is of practical value, and the accuracy rate can reach as high as 98.18%.

To explore the optimal monitoring method for soil and plant analyzer development (SPAD) of winter wheat under waterlogging stress based on hyperspectral and digital image techno-logy, the correlations between SPAD of the waterlogged winter wheat and fifteen indices of hyperspectral characteristic and fourteen indices of digital image feature were analyzed under a micro-plot which could be irrigated and drainage separately. Then, the BP neural network models for SPAD estimation were constructed based on the optimal monitoring feature indices. Compared with the normal winter wheat, SPAD and the value of hyperspectral reflectance did not change under short-term waterlogging (less than 7 d), whereas the SPAD was significantly decreased after more than 12 d waterlogging treatment with the value being close to zero at the late stage of growth. The estimation accuracy based on the digital image characteristics of green minus red, excess red index, norma-lized redness index and excess green index showed similar results compared to that using the BP network model based on the characteristics of the corresponding hyperspectral band. The highest为了探索基于高光谱和数字图像技术的受渍冬小麦SPAD最优监测方法,本研究基于排灌可控的微区试验,通过分析常用的15个高光谱特征指数和14个数字图像特征指数与受渍冬小麦叶绿素相对含量(SPAD)的相关关系,构建了基于最优监测特征指数的BP神经网络模型,对受渍冬小麦的SPAD进行估算。结果表明: 与正常小麦相比,短期渍水(≤7 d)对冬小麦的SPAD值和高光谱反射率影响不明显,当渍水时间大于12 d时,SPAD值随着渍水时间的增加急剧降低,在生长后期接近于0;基于数字图像特征指数(绿红差值植被指数、超红指数、红光标准化值和超绿指数)的冬小麦SPAD估算结果,与基于相对应的高光谱波段的估算结果基本一致,估算模型实测值与预测值的

Head and neck squamous cell carcinomas (HNSCCs) are one of the most common cancers with poor survival rates, which is attributed to the difficulty in the early detection of disease. However, conventional imaging methods lack accuracy and sensitivity in the early diagnosis of HNSCCs. Thus, there is an urgent need to develop an effective and sensitive approach for HNSCC imaging. As known, the cMet receptor is overexpressed in HNSCC tumor cells CAL27 and tumor tissues. Herein, we synthesize the dual-modal near-infrared II (NIR II) imaging of luminescence and T1 magnetic resonance imaging (MRI)-based nanoprobes with the cMet targeting binding peptide (NaGdF4-PEG-cMBP), which has strong upconversion/NIR II luminescence and higher R1 relaxivity compared with the commercially used gadolinium acid (5.871 vs 3.471 mM-1 s-1). Additionally, the luminescence imaging of Yb,Er,Ce-doped probes showed that the material can efficiently accumulate in HNSCC tumors with the cMet-targeted. It can be clearly visualized in both subcutaneous and orthotopic HNSCC tumor models by dual-modal T1-weighted MRI and NIR II luminescence imaging methods. The results demonstrate that our cMBP-conjugated nanoplatform may provide a novel and very efficient noninvasive diagnostic approach for HNSCC in the near future.

In this research, the antibody of the searched hub genes has been proposed to combine with a rare-earth composite for an upconversion luminescence (UCL) and downconversion (DCL) NIR-II imaging strategy for the diagnosis of lung adenocarcinoma (LUAD). Weighted gene co-expression network analysis is used to search the most relevant hub genes, and the required top genes that contribute to tumorigenesis (negative: CLEC3B, MFAP4, PECAM1, and FHL1; positive: CCNB2, CDCA5, HMMR, and TOP2A) are identified and validated by survival analysis and transcriptional and translational results. Meanwhile, fluorescence imaging probes (NaYF4:Yb,Er,Eu@NaYF4:Nd, denoted as NYF:Eu NPs) with multimodal optical imaging properties of downconversion and upconversion luminescence in the visible region and luminescence in the near infrared II region are designed with various uniform sizes and enhanced penetration and sensitivity. Finally, when the NYF:Eu NP probe is combined with antibodies of these chosen positive hub genes (such as, TOP2A and CCNB2), the in vitro and in vivo animal experiments (flow cytometry, cell counting kit-8 assay using A549 cells, and in vivo immunohistochemistry IHC microscopy images of LUAD from patient cases) indicate that the designed nanoprobes can be excellently used as a targeted optical probe for future accurate diagnosis and surgery navigation of LUAD in contrast with other cancer cells and normal cells. This strategy of antibodies combined with optical probes provides a dual-modal luminescence imaging method for precise medicine.

Gas-solid interface interaction as the key point and difficult point of dilute gas flow, understanding the mechanism of it, to have a clearer understanding of the gas molecules in the solid near-wall surface motion law. This paper combines the molecular dynamics method and particle beam method to simulate the interaction between argon molecules and solid platinum wall surface, to study the scattering law after the collision between gas molecules and solid surface at different incidence angles and the mechanism of energy conversion between them, the results show that the tangential kinetic energy is lost after the collision between gas molecules and wall surface, while the change of normal kinetic energy is determined by the magnitude of the incident velocity; the incident velocity is small, the reflected tangential velocity distribution basically fits the Maxwell reflection distribution when the incident velocity reaches a high speed, and the reflected tangential velocity distribution appears head-and-shoulder or even bimodal distribution, which is helpful for future research on the tangential momentum adaptation coefficient of the scattering nucleus model.

Due to many network services using encryption protocols, it poses a massive challenge to accurately identify traffic and provide quality of service (QoS). Although deep packet inspection (DPI) technology can identify most traffic, there are still many disadvantages to identifying encrypted traffic. In this paper, we apply the IP (Internet Protocol) autonomous system information query with machine learning (ML) and deep packet detection technology for traffic identification. By combining these methods, it can quickly provide good QoS for different types of encrypted traffic. The experimental results show that different encrypted traffic can be effectively identified. The services with different QoS requirements can be effectively identified even if they use the same protocol.

Noise induced hearing loss (NIHL) is a kind of hearing impairment, which is next to the age-related hearing loss. More and more evidences have verified that overproduction of reactive oxygen species is a common pathologic phenomenon of different inner ear injury including NIHL, and autophagy contributes to attenuate NIHL by reducing oxidative stress. However, the underlying mechanism by which noise exposure causes autophagy activation remains unclear. In this study, we found that NIHL was accompanied by autophagy in the rat cochlea. Furthermore, twelve common genes were found at the GEO datasets GSE85290 and GSE8342, and E3 ubiquitination ligase FBXO3 was confirmed significantly reduced in NIHL rat cochlea. Next, we demonstrated that FBXO3 can directly binding with autophagy-related protein 10 (ATG10), which is necessary for the initiation of autophagy, and mediate its degradation. In vivo animal model treatment with rapamycin, an autophagy activator, significantly reduced the NIHL. Based on these data, we confirmed that FBXO3 played an important role in autophagy caused by NIHL, may be a potential target of NIHL treatment.

Background: Although Pancreatic neuroendocrine tumors(PNETs) considered as indolent tumors, most patients are diagnosed at an advanced stage. Herein, we aimed to establish a nomogram to predict the survival of PNETs patients for clinical use via Surveillance, Epidemiology, and End Results (SEER) database. Methods: Based on the SEER program, the data of 1103 patients with PNETs were enrolled and randomly divided into training set and validation set. We performed Kaplan-Meier analysis, Cox proportional hazard regression analysis in training set to evaluate the value of prognostic factors. A nomogram was constructed obtained these independent prognostic factors for predicting overall survival(OS) and specific-cancer survival(CSS). C-index, calibration curve, decision curve analysis were used to evaluate the predictive accuracy of the nomogram. Results: Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomogram was able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority. Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Conclusions: Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomograms were able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority.

Background: Pancreatic cancer is one of the most malignant tumors of the digestive system and its treatment has rarely progressed for the last two decades. Studies on m6A regulators for the past few years have seemingly provided a novel approach for malignant tumor therapy. m6A-related factors may be potential biomarkers and therapeutic targets. This research is focused on the gene characteristics and clinical values of m6A regulators in predicting prognosis in pancreatic cancer. Methods: In our study, we obtained gene expression profiles with copy number variation (CNV) data and clinical characteristic data of 186 patients with pancreatic cancer from The Cancer Genome Atlas portal (TCGA). Then, we determined the alteration of m6a regulators and their correlation with clinicopathological features using the log-rank tests, Cox regression model, and chi-square test. Results: The results suggested that pancreatic cancer patients with ALKBH5 CNV were associated with worse overall survival and disease-free survival than those with diploid genes. Additionally, upregulation of the writer gene ALKBH5 had a positive correlation with the activation of AKT pathways. Conclusion: Our study not only demonstrated genetic characteristic changes of m6A-related genes in pancreatic cancer and found a strong relationship between the changes of ALKBH5 and poor prognosis but also provided a novel therapeutic target for pancreatic cancer therapy.