Search

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation^{1,2}. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitationally lensed emission around a central black hole^3. Here we report images of M87 obtained in 2018, at a wavelength of 3.5 mm, showing that the compact radio core is spatially resolved. High-resolution imaging shows a ring-like structure of 8.4_{-1.1}^{+0.5} Schwarzschild radii in diameter, approximately 50% larger than that seen at 1.3 mm. The outer edge at 3.5 mm is also larger than that at 1.3 mm. This larger and thicker ring indicates a substantial contribution from the accretion flow with absorption effects in addition to the gravitationally lensed ring-like emission. The images show that the edge-brightened jet connects to the accretion flow of the black hole. Close to the black hole, the emission profile of the jet-launching region is wider than the expected profile of a black-hole-driven jet, suggesting the possible presence of a wind associated with the accretion flow., 50 pages, 18 figures, 3 tables, author's version of the paper published in Nature

Highly asymmetric bimetal nanostructures, such as Au-Pt nanorings and Au-Ag nanoplates possess superior plasmonic properties owing to various synergistic effects between different components and diversified morphologies. Herein, we report a controllable growth of asymmetric Pt-Au nanoplates and Au@Pt nanorings with excellent photothermal conversion efficiency. Hexagonal Au nanoplates are used as templates, which is achieved through a transformation reaction from Au nanotriangles. Pt-Au nanoplates is prepared by a site-selective growth of Pt on the rim of obtained hexagonal Au nanoplates. Subsequently, Pt nanorings is obtained by a selective etching of Au, and a regrowth of Au on the Pt nanorings leads to bimetallic Au@Pt nanorings. The evolution of extinction spectra during the whole process is carefully studied. Under irradiation by 1064 nm laser located in the second near-infrared bio-window, the Pt-Au nanoplates exhibit excellent photothermal conversion, better than that of initial Au nanotriangles and hexagonal Au nanoplates with same mass concentration. The improvement of photothermal effect can be ascribed to the strong surface plasmon resonances and coupling between Au and Pt.

Background Roux-en-Y (R-Y) anastomoses have been widely used in distal gastrectomy, while the incidence of Roux stasis syndrome remains common. Uncut R-Y anastomosis maintains the neuromuscular continuity, thus avoiding the ectopic pacemaker of the Roux limb and reducing the occurrence of Roux stasis. However, retrospective studies of Uncut R-Y anastomosis remain scarce and randomized controlled trials have not been reported. Methods We conducted a randomized controlled trial to compare the surgical safety, nutritional status, and postoperative quality of life (QOL) between uncut and classic Roux-en-Y (R-Y) reconstruction patients. Patients with Stage I gastric cancer were randomly enrolled and underwent laparoscopic distal gastrectomy followed by uncut or classic R-Y reconstruction. Body mass index and blood test were used to evaluate the nutritional status. QOL was evaluated using European Organization for Research and Treatment of Cancer QOL Questionnaire (STO22) and laboratory examinations at postoperative month (POM) 3, 6, 9, and 12. Computed tomography scanning was used to evaluate the skeletal muscle index (SMI) at POM 6 and 12. Endoscopy was performed at POM 12. Results Operation time, blood loss, time to recovery, complication morbidities, and overall survival were similar between the two groups. Compared with the classic R-Y group, the uncut R-Y group displayed a significantly decreased QOL at POM 9, possibly due to loop recanalization, determined to be occupied 34.2% of the uncut R-Y group. Post-exclusion of recanalization, the QOL was still higher in the classic R-Y group than in the uncut R-Y group, despite their hemoglobin and total protein levels being better than those in the classic R-Y group. Preoperative pre-albumin level and impaired fasting glycemia significantly correlated with the postoperative recanalization. Conclusion We found no significant benefit of uncut over classic R-Y reconstruction which challenges the superiority of the uncut R-Y reconstruction. Trial registration ClinicalTrials.gov Identifier: NCT02644148.

Purpose To develop a bidirectional slide guide to assist screw placement in the axial lamina and to preliminarily discuss the accuracy and feasibility of auxiliary screw placement. Methods CT data from 40 randomly selected patients were imported into the software for modelling, and cross-pinning was used to simulate pinning. According to the different crossing methods of the upper and lower laminar screws, they are divided into two groups. In the software, the position of the needlepoint of each screw is accurately measured, and the needle point is kept unchanged to simulate the movable range of the screw tail under the condition that the body does not penetrate the cortical bone. The data were compared by grouping and gender. Finally, the guide was designed by combining the screw exit point and fine adjustment angle data of all patients with the centripetal principle of the slide rail. Results The needle exit data L1/L2/L3/L4 were 6.44 ± 0.52 mm, 7.05 ± 0.48 mm, 3.55 ± 0.75 mm and 5.09 ± 0.74 mm, respectively, and the fine adjustment angle of the slide rail was 10.51° ± 0.87°. There was no significant difference between the two groups or between men and women (p > 0.05). Conclusion In this experiment, using the data obtained from the simulation of screw insertion, a two-way slide guide was designed to assist the insertion of axial laminar screws. The guide locks the screw outlet point to position and guides the screw inlet point, which improves the accuracy and safety of screw placement.

Methane is the second most important greenhouse gas after carbon dioxide, and 8–11% is emitted from paddy fields. Methanogenic microbial processes in water-saturated soils can be alleviated through the oxygenation of soils, which may hamper methane production and emissions in paddies. Here, by mimicking O2 release from rice roots, we report the use of man-made (i.e., silicone tube-based) aerenchymatous tissues (MAT) to continuously release O2 to abate methane emission from paddies. High O2-releasing rates (such as 5 kg O2/ha/d) can be easily achieved by adjusting MAT density (e.g., 0.2 m2 tube/m2 soil) and its inner air pressure (e.g., 25 kPa). Following deployment, MAT significantly increased soil redox potential (from -150 mV to -88.6 mV) and induced active iron redox cycling. This decreased the availability of organic substrates of methanogens and therefore dramatically reduced their abundance (-25.1% active mcrA gene). We quantified the decrease in methane emission both in mesocosms and paddy field trials and found in both setups that ~ 50% of methane emission was reduced. Moreover, we showed that the performance of MAT can be further improved by simply increasing the air pressure in MAT (e.g., -74.2% methane emission at 200 kPa air pressure). This work provides a powerful and sustainable method for mitigating methane emission from rice paddies. Graphical Abstract

Analyzing how the underlying mechanism influences land value changes is essential to understanding the land market, which contributes to sustainable urbanization. Drawing upon a land transaction dataset, we analyze the determinants of urban land prices from 2008 to 2020, considering land supply and demands, with particular attention to natural restrictions and government interventions in China. The statistical analysis suggests that the inequality in industrial and commercial land prices rose from 2008 to 2015 and decreased after 2015. The inequality in residential land prices has kept rising from 2008 to 2020 because land finance is still essential to local government. Discriminatory price strategy for industrial land prices in eastern China is getting more popular. The regression models reveal the significant negative impact of natural restrictions on land price, and such impact from natural restrictions is decreasing after 2015. The market forces represented by city-level socioeconomic factors are becoming more important after 2015, indicating a more free land market in China. We also find the gaps between cities and counties in land prices are closing, which might benefit the recent development in rural and county region of China. These findings provide important insights into the transition in the land market in China from 2008 to 2020, which also contribute to a better understanding of the spatial inequality in the land market and the heterogeneity in different land-use types.

We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relatively low EIC energies, focusing on (i) identifying the flavor of the jet and (ii) identifying the underlying hard process of the event. We propose applications of our machine learning-based jet identification in the key research areas at the future EIC and current Relativistic Heavy Ion Collider program, including enhancing constraints on (transverse momentum dependent) parton distribution functions, improving experimental access to transverse spin asymmetries, studying photon structure, and quantifying the modification of hadrons and jets in the cold nuclear matter environment in electron-nucleus collisions. We establish first benchmarks and contrast the estimated performance of flavor tagging at the EIC with that at the Large Hadron Collider. We perform studies relevant to aspects of detector design including particle identification, charge information, and minimum transverse momentum capabilities. Additionally, we study the impact of using full event information instead of using only information associated with the identified jet. These methods can be deployed either on suitably accurate Monte Carlo event generators, or, for several applications, directly on experimental data. We provide an outlook for ultimately connecting these machine learning-based methods with first principles calculations in quantum chromodynamics., Final version after journal review

Background Duchenne muscular dystrophy (DMD) is a neuromuscular disease characterised by progressive muscular weakness and atrophy. Currently, studies on DMD muscle function mostly focus on individual muscles; little is known regarding the effect of gluteal muscle group damage on motor function. Objective To explore potential imaging biomarkers of hip and pelvic muscle groups for measuring muscular fat replacement and inflammatory oedema in DMD with multimodal quantitative magnetic resonance imaging (MRI). Materials and methods One hundred fifty-nine DMD boys and 32 healthy male controls were prospectively included. All subjects underwent MRI examination of the hip and pelvic muscles with T1 mapping, T2 mapping and Dixon sequences. Quantitatively measured parameters included longitudinal relaxation time (T1), transverse relaxation time (T2) and fat fraction. Investigations were all based on hip and pelvic muscle groups covering flexors, extensors, adductors and abductors. The North Star Ambulatory Assessment and stair climbing tests were used to measure motor function in DMD. Results T1 of the extensors (r = 0.720, P r = 0.558, P r = 0.697, P r = -0.711, P r = -0.753, P b = 0.013, t = 2.052, P = 0.042), T2 of the adductors (b = -0.234, t = -2.554, P = 0.012) and fat fraction of the extensors (b = -0.637, t = − 4.096, P Conclusion Magnetic resonance biomarkers of hip and pelvic muscle groups (particularly T1 values of the abductor muscles) have the potential to be used as independent risk factors for motor dysfunction in DMD.

To evaluate the bone regeneration capacity of Zn-2Ag-0.04Mg alloy scaffold in vivo. Zn, Zn-2Ag and Zn-2Ag-0.04Mg scaffolds were implanted in the femur of New Zealand rabbits, and the degradation of the scaffolds and the regeneration of the bone were observed at 6th week and 6th month. Two-dimensional and three-dimensional micro-CT results showed the new bone in Zn-2Ag-0.04Mg alloy scaffold group was significant more than Zn scaffold group, the bone volume in Zn-2Ag-0.04Mg was higher. Moreover, the osteogenic index in the Zn-2Ag-0.04Mg alloy scaffold group was also higher than Zn scaffold group. At 6th month, the scaffold of Zn-2Ag-0.04Mg was smaller than Zn group or Zn-2Ag group. HE staining of the liver, kidney, and heart did not detect any abnormalities, confirmed the biosafety of the Zn-2Ag-0.04Mg alloy scaffold. The Zn-Ag-0.04Mg alloy scaffold exhibits good biocompatibility and bone regeneration ability in vivo.

In the 5 years since the fourth edition of the WHO Classification of Tumors of the Central Nervous System (CNS) (revised) was released, the development of targeted sequencing and omics technology has helped researchers in the field of neuro-oncology to identify some new tumor types in clinical practice, as well as a series of genetic parameters related to tumor occurrence and development, poor prognosis, treatment response, etc. These findings not only provide basic knowledge for the classification of glioma, but also promote the progress of the treatment of gliomas. As a revolution in cancer treatment, immunotherapy has become a promising strategy since the pioneering discovery of lymphatics in the CNS. The advancement and clinical application of immunotherapy have strengthened the demand for accurate classification of glioma. In June 2021, the WHO and the International Agency for Research on Cancer (IARC) published the fifth edition of the WHO Classification of Tumors of the CNS. The fifth edition focuses on advancing the role of genetic parameters in the classification of glioma and divides glioma into more biologically and molecularly defined entities, with better natural history characteristics, and introduced new tumor types and subtypes, especially in the pediatric population. Most importantly, these updated classifications will enable clinicians to better assess the prognosis and formulate the optimal treatment of gliomas.

This paper uses a combination of EDXRF and LA-ICP-MS to analyse the chemical components including major elements and REE composition of the accompanying celadon from four different periods of tomb at the Yutu Hill burial complex on the Xunyang city site for sourcing their provenance. The combination of the two analytical methods not only provides additional data and information to explore the provenance of the accompanying celadon in the burials, but also validates the data’s accuracy. A comparison with the chemical composition of the products from several kiln sites producing celadon revealed that burials from the Eastern Han period (25–220 A.D) to the Tang dynasty (618–907 A.D) included celadon from the Hongzhou kiln, indicating the connection between the Xunyang city site and the Hongzhou kiln during these two periods. In addition, the REE composition of the accompanying celadon in tombs from the Six Dynasties (222–589 A.D) and the Sui dynasty (581–618 A.D) is very similar to that of Yue kiln celadon, despite their strikingly different appearance and shape. This paper deduces, based on the previous distribution of Yue kiln products in the Jiangxi region, that only the upper classes collected Yue kiln products during the initial period of their entry into Jiangxi during the Jin dynasty (266–420 A.D), but that during the later period of the Six Dynasties, the commoner classes also began to collect Yue kiln products.

Background The use of machine learning has the potential to estimate the probability of a second classification event more accurately than traditional statistical methods, and few previous studies on predicting new fractures after osteoporotic vertebral compression fractures (OVCFs) have focussed on this point. The aim of this study was to explore whether several different machine learning models could produce better predictions than logistic regression models and to select an optimal model. Methods A retrospective analysis of 529 patients who underwent percutaneous kyphoplasty (PKP) for OVCFs at our institution between June 2017 and June 2020 was performed. The patient data were used to create machine learning (including decision trees (DT), random forests (RF), support vector machines (SVM), gradient boosting machines (GBM), neural networks (NNET), and regularized discriminant analysis (RDA)) and logistic regression models (LR) to estimate the probability of new fractures occurring after surgery. The dataset was divided into a training set (75%) and a test set (25%), and machine learning models were built in the training set after ten cross-validations, after which each model was evaluated in the test set, and model performance was assessed by comparing the area under the curve (AUC) of each model. Results Among the six machine learning algorithms, except that the AUC of DT [0.775 (95% CI 0.728–0.822)] was lower than that of LR [0.831 (95% CI 0.783–0.878)], RA [0.953 (95% CI 0.927–0.980)], GBM [0.941 (95% CI 0.911–0.971)], SVM [0.869 (95% CI 0.827–0.910), NNET [0.869 (95% CI 0.826–0.912)], and RDA [0.890 (95% CI 0.851–0.929)] were all better than LR. Conclusions For prediction of the probability of new fracture after PKP, machine learning algorithms outperformed logistic regression, with random forest having the strongest predictive power. Graphical Abstract

Purpose Heterogeneity assessment can be applied for medical imaging analysis. Here, we evaluated first-order and texture analysis (TA) metrics in 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) imaging for classification of metastatic and benign bone lesions in patients with cervical cancer. Methods The data of 18F-FDG PET studies performed on a specific PET/CT system from 2016 to 2018 in patients with cervical cancer were retrieved. The data of bone lesions extracted from studies over 2016–2017 and 2018 were used as training and validation datasets, respectively. Metastatic bone lesions were identified in each dataset, with an equal number of benign bone lesions selected. Cuboid volume of interest (VOI) consisting of 3 × 3 × 5 reconstructed voxels was applied for first-order metrics, and cubic VOI consisting of smaller voxels with trilinear interpolation of standardized uptake value (SUV) was adopted for TA metrics. First-order metrics included the maximum SUV (SUVmax) of lesions and the mean voxel SUV and its standard deviation (SUVsd), skewness, and kurtosis in VOI. In total, 4464 TA metrics based on 62 texture features were evaluated. Logistic regression was used for classification with area under the receiver operating characteristic curve (AUC) as the performance measure. Results From the training and validation datasets, 98 and 42 metastatic bone lesions were identified, respectively. SUVsd demonstrated higher performance than did SUVmax in both the training (AUC .798 vs .732, P = .001) and validation (AUC .786 vs .684, P Conclusion A simple first-order measure of heterogeneity, SUVsd, was found to be superior to SUVmax for the classification of metastatic and benign bone lesions. Multiple hypothesis testing can result in false-positive findings in TA with multiple features and parameters; careful validation is required.

Background Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is an autoimmune demyelinating disorder of the central nervous system. Methods Extracted proteins from 34 cerebrospinal fluid (CSF) samples [patients with MOGAD (MOG group, n = 12); healthy controls (HC group, n = 12); patients with MOG seronegative and metagenomics next-generation sequencing-negative inflammatory neurological diseases (IND group, n = 10)] were processed and subjected to label-free quantitative proteomics. Supervised partial least squares-discriminant analysis (PLS-DA) and orthogonal PLS-DA (O-PLS-DA) models were also performed based on proteomics data. Functional analysis of differentially expressed proteins (DEPs) was performed using Gene Ontology, InterPro, and Kyoto Encyclopedia Genes and Genomes. An enzyme-linked immunosorbent assay was used to determine the complement levels in serum from patients with MOGAD. Results Four hundred and twenty-nine DEPs (149 upregulated and 280 downregulated proteins) were identified in the MOG group compared to the HC group according to the P value and fold change (FC). Using the O-PLS-DA model, 872 differentially abundant proteins were identified with variable importance projection (VIP) scores > 1. Five proteins (gamma-glutamyl hydrolase, cathepsin F, interalpha-trypsin inhibitor heavy chain 5, latent transforming growth factor beta-binding protein 4 and leukocyte-associated immunoglobulin-like receptor 1) overlapping between the top 30 DEPs with top-ranked P value and FC and top 30 proteins in PLS-DA VIP lists were acquired. Functional analysis revealed that the dysregulated proteins in the MOG group were primarily involved in complement and coagulation cascades, cell adhesion, axon guidance, and glycosphingolipid biosynthesis compared to the HC group. Conclusion The proteomic alterations in CSF samples from children with MOGAD identified in the current study might provide opportunities for developing novel biomarker candidates.

The deformed soliton solutions of the (2+1)-dimensional nonlinear Schrodinger Maxwell–Bloch (NLS-MB) equations are investigated by the n-fold Darboux transformation method based on the seed function $$q=p=v=0,\,\eta =1$$ . New soliton solutions, including order-1 and order-2 types, are obtained and analyzed in detail. For the order-1 solutions, polynomial, trigonometric, and hyperbolic solutions are discussed. Especially, the analytical formulas of $$|q^{[1]}|$$ and soliton trajectories are obtained, which are involved by an arbitrary smooth function $$f(y+2\lambda t)$$ . For the order-2 solutions, besides the polynomial, trigonometric, and hyperbolic types, the mixed-type solutions are also derived and exhibited through several typical examples.

Microplastics are ubiquitous in the environment, eventually becoming part of the geological record as ‘technofossils’. However, research on the chronological characteristics of microplastics remains limited. This study reviewed dating methods, microplastic abundance, and microplastic polymer type in sedimentary cores globally. Furthermore, the ‘evolution’ of plastic types was compiled in sequence, and a microplastic chronological sequence in the sedimentary record was established. This microplastics chronological sequence was applied to 39 published cores with microplastic polymer analysis. The sediment age ranges determined by microplastic type were found to correspond to the published ages, indicating that microplastics could be useful for dating sedimentary cores on a centennial scale. Furthermore, good preservation and limited mobility of microplastics in burial records make microplastic dating an effective supplementary dating method for determining ages of Anthropocene sediments.

Although bromocriptine (BRC) as first-line drug is recommended for treating patients with prolactinoma, a minority of patients with prolactinoma are resistance to BRC. Moreover, our previous study showed the difference in drug sensitivity in BRC-treated rat prolactinoma cells, MMQ cells are more resistant to BRC, and GH3 cells are more sensitive to BRC. Curcumin (Cur) has been shown to inhibit proliferation of prolactinoma cell lines. The aim of this study is to further investigate whether Cur could enhance the growth-inhibitory effect of BRC resistance on prolactinoma cell lines and its possible mechanism. CCK-8 kit was used to test cell growth. Cell cycle analysis and apoptosis were performed by flow cytometry. Electron microscopy was used to test autophagosome. The mRNA expression profiles were analyzed using the Affymetrix Gene-Chip array. Western blot was used to test protein expression. Our data showed that Cur enhanced the growth-inhibitory effect of BRC on GH3 and MMQ cell proliferation. BRC and Cur both induced cell apoptosis, and Cur could significantly increase the apoptosis of BRC on pituitary adenoma cells through the ERK/EGR1 signaling pathway. Moreover, Cur could enhance the autophagic cell death (ACD) of BRC on tumor cells by inhibiting the AKT/GSK-3β signaling pathway. The same results were confirmed invivo study. Taken together, Cur sensitizes rat prolactinoma cells to BRC by activating the ERK/EGR1 and inhibiting the AKT/GSK-3β signaling pathway.

Organic matter plays an important role in controlling arsenic(As) release and transformation in soil, however, little is known about the effect of manure application on As behavior in soils with different As contents. In this study, waterlogged incubations using various As-contaminated paddy soils with manure amendment were conducted to investigate how manure application influence As mobilization and methylation in different paddy soils. The results indicated that manure application increased As release in paddy soils with high As (> 30 mg kg−1) contents. Moreover, our findings also showed that manure application increased the relative abundance of arsM-harboring Euryacheota and Planctomycetes at the phylum level and arsM-harbouring Methanocellaceae, Anaerolinea and Bellinea at genus level, thereby promoting As methylation. These results provide important insights for the significant variation in As mobilization and methylation in paddy soils amended with manure. Moreover, our results suggest that serious consideration should be given to the manure application in As-contaminated paddy soil.

For most of their lifetime, super-massive black holes (SMBHs) commonly found in galactic nuclei obtain mass from the ambient at a rate well below the Eddington limit, which is mediated by a radiatively inefficient, hot accretion flow. Both theory and numerical simulations predict that a strong wind must exist in such hot accretion flows. The wind is of special interest not only because it is an indispensable ingredient of accretion, but perhaps more importantly, it is believed to play a crucial role in the evolution of the host galaxy via the so-called kinetic mode AGN feedback. Observational evidence for this wind, however, remains scarce and indirect. Here we report the detection of a hot outflow from the low-luminosity active galactic nucleus in M81, based on {\it Chandra} high-resolution X-ray spectroscopy. The outflow is evidenced by a pair of Fe XXVI Ly$\alpha$ lines redshifted and blueshifted at a bulk line-of-sight velocity of $\pm2.8\times10^3 \rm~km~s^{-1}$ and a high Fe XXVI Ly$\alpha$-to-Fe XXV K$\alpha$ line ratio implying a plasma temperature of $1.3\times10^8$ Kelvin. This high-velocity, hot plasma cannot be produced by stellar activity or the accretion inflow onto the SMBH. Our magnetohydrodynamical simulations show, instead, it is naturally explained by a wind from the hot accretion flow, propagating out to $\gtrsim10^6$ times the gravitational radius of the SMBH. The kinetic energy and momentum of this wind can significantly affect the evolution of the circumnuclear environment and beyond., Comment: 31 pages, 10 figures

With the progress of science and technology and the improvement of people’s living standards, the high-value utilization of waste bamboo materials and the increasingly serious problem of electromagnetic wave (EMW) pollution have attracted more and more attention. The above two problems can be solved simultaneously by overcoming the structural defects of bamboo, such as dense arrangement of fiber cells, horizontal gradient stratification and so on, realizing the impregnation of inorganic materials, and then obtaining magnetic biochar-based EMW absorbers by in situ pyrolysis. Here, we carry out fibrosis treatment to obtain bamboo bundles with significantly increased specific surface area and a large number of exposed inner walls of fiber cells. After that, the bamboo bundles are impregnated in iron acetylacetonate (Fe(acac)3) DMF solution with concentrations of 0.04, 0.08 and 0.12 g/mL, and fiberized bamboo-derived magnetic biomass carbon (FBMC) are finally prepared through in situ pyrolysis technology. The results show that the EMW absorption performance of the prepared FBMCs is best with an impregnation concentration of 0.04 g/mL, and the minimum reflection loss is − 28.21 dB at 13.40 GHz with a matching thickness of 3 mm. With further increase of the impregnation concentration, the magnetic properties and electrical conductivities of FBMCs are enhanced, but their corresponding EMW absorption performance is deteriorated. Further research shows that the absorption capacities mainly come from the good dielectric loss caused by the interfacial polarization effect, and the magnetic loss caused by natural and exchange response. It is proved that the attenuation ability of FBMC-0.04 to EMW energy mainly comes from EMW absorption behavior.

Assessing the downstaging effects of neoadjuvant chemotherapy (NACT) in patients with locally advanced nasopharyngeal carcinoma (LANPC) and predicting response to treatment remain challenging. The present study aimed to evaluate the long-term prognosis of downstaging after NACT in patients with LANPC and to investigate the prognostic value of post-NACT tumor downstaging on treatment outcomes in the era of concurrent chemoradiotherapy (CCRT). This retrospective study included 226 patients with stage III (n = 188) and IVA (n = 38) NPC admitted to Haikou People’s Hospital between 1 October 2009 and 1 October 2012. The patients were grouped as downstaging or no after NACT. Overall survival (OS), locoregional failure-free survival (LFFS), and distant failure-free survival (DFFS) were analyzed. Among 226 patients, 196 (86.7%) were in the downstaging group and 30 (13.3%) were in the non-downstaging group. The longest follow-up was 76 months, and the median was 45 months. The 3-year OS rates of the downstaging group and non-downstaging group were 91.0% (95% CI 0.89–0.93) and 69.5% (95% CI 0.66–0.72) (P = 0.005). The 5-year OS rates were 81.6% (95% CI 0.78–0.86) and 53.3% (95% CI 0.49–0.61) (P = 0.001). N downstaging (3-year OS, HR 0.491, 95% CI 0.221–0.881, P = 0.022; 5-year OS, HR = 0.597, 95% CI 0.378–0.878, P = 0.021) was independently associated with OS. In the treatment of LANPC, the patients with downstaging after NACT have a better prognosis than those without downstaging. This study suggests that NACT can improve the prognosis for patients with LANPC if there is downstaging.

Urban economic development is not linear, but it always exhibits certain volatility. If the economic fluctuation exceeds a certain range, it may damage the urban economic development. In order to solve the economic damage caused by the excessive fluctuation of the urban economy in the development process, this article is based on the current situation of China's macroeconomic monitoring and early warning and data warehouse-related technologies, analyzed, explained the role of IoT sensors in the macroeconomic early warning system, reviewed the development process of economic monitoring and early warning, sorted out and compared several common economic monitoring methods, and proposed the application of IoT sensors to urban economic monitoring, the idea of early warning, and the construction of an urban economic data monitoring and early warning model. The urban economic data monitoring and early warning model is based on IoT sensors and has carried out research on data transmission, monitoring, forecasting, processing and display. After simulating the model, the results of the simulation experiment show that the accuracy rate of the economic volatility prediction of the model reaches 80%, which has certain practical value.

A bridge bearing anchor transmits various loads of a superstructure to a substructure. Most anchors are generally designed without consideration of characteristics such as concrete pedestal, grout bedding, and anchor socket. This study investigated the shear behavior of anchors in accordance with the edge distance, embedment depth, compressive strength of concrete, and height of the concrete pedestal in order to simulate the practical characteristics of the bridge bearing anchors. The actual shear capacity of the anchor differs from the shear strengths calculated by the ACI 318 and EN 1992-4; especially, the importance of the embedment depth is underestimated in these codes. An increase in the height of the concrete pedestal has a negative effect on the shear capacity because of the stress concentration. The grout is fractured prior to the occurrence of local damages in concrete, resulting in a secondary moment. As a result, the effect of the level arm is observed. An equation, which can predict the relative cracking degree of concrete, is proposed by analyzing the displacement of grout and concrete. High strain occurs in the stirrups close to the anchor, and the behavior of the strain is more influenced by the embedment depth than the edge distance. The comparison of obtained and analytically evaluated failure loads by calculations according to EN 1992-4, Schmid model and Sharma model was conducted to consider the effect of supplementary reinforcement. Finally, the design equation of concrete breakout strength is modified to predict the more precise shear resistance of a bridge bearing anchor.

Unsupervised domain adaptation (UDA) has achieved great success in handling cross-domain machine learning applications. It typically benefits the model training of unlabeled target domain by leveraging knowledge from labeled source domain. For this purpose, the minimization of the marginal distribution divergence and conditional distribution divergence between the source and the target domain is widely adopted in existing work. Nevertheless, for the sake of privacy preservation, the source domain is usually not provided with training data but trained predictor (e.g., classifier). This incurs the above studies infeasible because the marginal and conditional distributions of the source domain are incalculable. To this end, this article proposes a source-free UDA which jointly models domain adaptation and sample transport learning, namely Sample Transport Domain Adaptation (STDA). Specifically, STDA constructs the pseudo source domain according to the aggregated decision boundaries of multiple source classifiers made on the target domain. Then, it refines the pseudo source domain by augmenting it through transporting those target samples with high confidence, and consequently generates labels for the target domain. We train the STDA model by performing domain adaptation with sample transport between the above steps in alternating manner, and eventually achieve knowledge adaptation to the target domain and attain confident labels for it. Finally, evaluation results have validated effectiveness and superiority of the proposed method.

Objective By observing the 3D anatomy of normal adult cervical facet joints, using the picture archiving and communication system to measure its 3D parameters and discussing its clinical significance, the aim of this study was to provide a reliable morphological basis for the design and manufacture of lower cervical facet joint interface distractors. Methods We selected 200 patients who underwent cervical spine 3D spiral computed tomography (CT) examination in the imaging department of our hospital from September 2019 to May 2020 and whose spiral CT images showed no cervical spinal canal stenosis, cervical disc herniation, obvious bone hyperplasia, or infection. The anterior and posterior diameters of the facet joints on both sides of the cervical spine, the space between the joints, and the left and right diameters were measured on the sagittal, cross-sectional and coronal planes after reconstruction with 3D spiral CT. Results The anterior and posterior diameters of the facet joints of the cervical spine, the space between the joints, and the left and right diameters all increased from top to bottom along the cervical spine. The 3D parameters of the C2-3~C6-7 segments were significantly different between the male and female groups. Conclusion The anteroposterior diameter, joint space interval, and left and right diameter of cervical facet joints are different in each segment and between the sexes. The lower cervical facet joint interface fusion device designed according to the measurement results can fully meet the needs of most patients.

This study investigates the influence of steel slag (SS) and steel fibers on the electrical resistivity and electromagnetic (EM) shielding effectiveness of high-strength concrete (HSC). It was found that the electrical resistivity of mixtures were mainly influenced by free water. Thus, the EM shielding effectiveness was evaluated without the effect of free water. HSC with 20% replacement ratio of SS exhibited slightly improved EM shielding, lower electrical resistivity, and reduced strength (compressive and flexural) compared to HSC without SS. However, HSC with steel fibers exhibited significantly improved EM shielding, lower electrical resistivity, and higher strength and toughness compared to HSC without steel fibers. An increase in the steel fiber content in the HSC significantly decreased the electrical resistivity and increased the shielding effectiveness, strength, and toughness. Regardless of the fiber content in the fiber volume fraction of mixture, the shielding effectiveness is similar for cases with and without SS whose electrical resistivity values differ only slightly. This proves that the EM shielding effectiveness was mainly affected by the electrical resistivity and these properties are significantly correlated when the electrical resistivity values differ noticeably. HSC reinforced with rebar with 50 mm spacing exhibited a 23.5–75.6% increase in the shielding effectiveness in the 600–1,000 MHz frequency region compared to pristine HSC.

To determine the compositions of Forsythia suspensa leaves tea (FSLT) and its safety, the chemical compounds were analysed with some methods, and the toxicity was evaluated in Kunming mice and Wistar rats. The results showed that FSLT contained rich flavonoid, lignans, triperpene acids, amino acids, and mineral elements. In the acute toxicity study, none of the mice died, and no obvious poisoning symptoms were observed after 14 days in mice at the dose of 15 mg/g·body weight (bw) FSLT; in the sub-chronic toxicity, no abnormal or dead rat was found at the dose of 1, 3, and 10 mg/g·bw during 90 days feeding administration; there was no significant difference in bw and food consumption; no significant differences were found in each hematology and serum biochemistry parameter and organ/body weight ratio comparing with the control experimental group. The results revealed that the FSLT has low or no toxicity via oral administration. Therefore, FSLT is very suitable and safe to be used as a new resource food.

In this paper, the smooth order-n positon solutions and b-positon solutions of the NLS-MB equation are constructed by the degenerate Darboux transformation (DT). The decomposition of the order-2, order-3, and order-4 positon solutions is discussed based on the decomposition of modulus square, and its approximate orbits and variable “phase shift” are also exhibited. Furthermore, we discuss the degeneration progress of the order-2 b-positon solution which means the central area of b-positon solution is a very good approximation of the rogue wave solution. The approximate trajectories of the order-2 b-positon solution are also discussed.

The n-type ultrathin fully depleted silicon-on-insulator (FDSOI) metal–oxide–semiconductor field-effect transistors (MOSFETs), with a Hf0.5Zr0.5O2 high dielectric permittivity (high-k) dielectric as gate insulator, were fabricated. The total ionizing dose effects were investigated, and an X-ray radiation dose up to 1500 krad(Si) was applied for both long- and short-channel devices. The short-channel devices (0.025–0.100 μm) exhibited less irradiation sensitivity compared with the long-channel devices (0.35–16 μm), leading to a 71% reduction in the irradiation-induced drain current growth and a 26% decrease in the shift of the threshold voltage. It was experimentally demonstrated that the OFF mode is the worst case among the three working conditions (OFF, ON and All0) for short-channel devices. Also, the determined effective electron mobility was enhanced by 38% after X-ray irradiation, attributed to the different compensations for charges triggered by radiation between the high-k dielectric and buried oxide. By extracting the carrier mobility, gate length modulation, and source/drain (S/D) parasitic resistance, the degradation mechanism on X-ray irradiation was revealed. Finally, the split capacitance–voltage measurements were used to validate the analysis.

The Shaxi porphyry Cu–Au deposit is located in the northern part of the Luzong Basin on the outer edge of the southern Middle-Lower Yangtze River metallogenic belt, China. It is typical of the porphyry Cu–Au deposits in the metallogenic belt, with more than 1 Mt Cu at 0.55 wt% and 45 tons Au at 0.47 g/t. Hydrothermal alteration consists of a core of potassic alteration overprinted by a phyllic alteration zone. Propylitic alteration occurs peripheral to the potassic zone, but can also be recognized in the core of the deposit, where vein density is low. The main mineralization occurs as sulfide veinlets in the potassic zone where it is superposed by phyllic alteration. The paragenetic sequence show that chalcopyrite began to precipitate late in stage 1, associated with potassic alteration, forming quartz-sulfide veins with potassium feldspar halos, and reached a peak in stage 3, forming chalcopyrite-pyrite ± quartz ± anhydrite ± chlorite ± illite veins that accompanied phyllic alteration. Sulfur, hydrogen-oxygen and strontium isotopes, fluid inclusions, and pyrite trace element data indicate that the stage 1 assemblage associated with potassic alteration were deposited from a magmatic brine. With the change from lithostatic to hydrostatic pressure late in stage 1, the brine generated stage 1 g quartz-pyrite-chalcopyrite ± anhydrite ± bornite ± molybdenite ± potassium feldspar veins with minor copper and gold. Mixing with minor external fluids (meteoric water or gypsum-saturated groundwater) in stage 2 triggered the peripheral propylitic alteration. As the proportion of external fluid increased with the onset of hydrostatic conditions, it changed the redox state and composition of the hydrothermal system, resulting in extensive stage 3 Cu and Au precipitation with phyllic alteration. Argillic alteration associated with stage 4 veins was generated by external fluids mixed with minor hydrothermal fluid, at shallow depths.

Many studies have already suggested the role of long non-coding RNAs (lncRNAs) in Alzheimer’s disease (AD), but the functions of lncRNA Taurine Upregulated Gene 1 (TUG1) in AD have been scarcely discussed. This study aims to verify how TUG1 affects hippocampal neurons in AD through modulation of microRNA-15a (miR-15a)/Rho-associated protein kinase 1 (ROCK1). AD mice was modeled through injection of β-amyloid 25-35 (Aβ25-35) into the lateral ventricle. After modeling, the mice were injected with altered TUG1 and/or miR-15a agomir lentiviruses. The spatial learning ability and memory ability of mice were detected through Morris water maze test. Hippocampal neuronal apoptosis and oxidative stress indicators in AD mice were then detected. The hippocampal neuron AD model was induced by Aβ25-35. Next, the neurons were, respectively, transfected with altered TUG1 vector and/or miR-15a mimics to determine the proliferation inhibition and apoptosis of hippocampal neurons. The interactions between TUG1 and miR-15a, and between miR-15a and ROCK1 were assessed using bioinformatic prediction, dual luciferase reporter gene assay and RNA-pull-down assay. In the animal models, Aβ25-35-induced mice exhibited decreased spatial learning and memory ability, obvious pathological injury, promoted hippocampal neuronal apoptosis and decreased antioxidant ability. TUG1 silencing and miR-15a elevation improved spatial learning ability and memory ability, ameliorated pathological injury, depressed neuronal apoptosis, and strengthened antioxidant ability of hippocampal neurons in AD mice. In cellular models, Aβ25-35-treated hippocampal neurons presented inhibited neuronal viability and promoted neuronal apoptosis. TUG1 silencing and miR-15a elevation increased viability and limited apoptosis of Aβ25-35-treated hippocampal neurons. TUG1 specifically bound to miR-15a, and miR-15a targeted ROCK1. Collectively, this study reveals that TUG1 knockdown restricts apoptosis of hippocampal neurons in AD by elevating miR-15a and suppressing ROCK1 expression, and provides a new therapeutic target for AD treatment.

ECG classification is important to the diagnosis of cardiovascular disease. This paper develops a robust and accurate algorithm for automatic detection of heart arrhythmias from ECG signals recorded with one lead. A novel model based on the convolutional neural network is proposed to extract low-level and high-level features of short term ECG. In addition, Information-Theoretic Metric Learning is utilized as a final classification model to boost the discrimination abilities of the network trained features. The experimental results over the MIT-BIH arrhythmia database show that the model achieves a comparable performance with most of the state-of-the-art methods and Information-Theoretic Metric Learning further improves the performance. Besides the good accuracy achieved, the proposed method balances different criteria.

Microwave processing techniques have been extensively used in the food industry due to its significant reduction in time and energy consumption, but its effect on the potential degradation of the extracted target compounds cannot be ignored. In this paper, experiments were carried out to establish a model system of closed magnetic stirring and controlled temperature cooling microwave irradiation (CMCC-MI system); the model extraction solutions were constructed with the standards gallic acid and resveratrol as target compounds to be extracted; its type of free radicals were detected during microwave irradiation extraction, and its changes were monitored under different microwave extraction conditions, namely, solvent types, organic extractant concentrations, microwave irradiation power, extraction temperature, and extraction time, in order to understand the effect of microwave irradiation and provide an objective evaluation polyphenols under different microwave extraction conditions. The degradation and fragment ion peaks of gallic acid and resveratrol owing to hydroxyl free radicals imply that the extraction yield should not be over-focused in actual extraction applications of microwave irradiation; more attention should be paid to the potential degradation of the extracted target compounds induced by microwave irradiation.

Background Hepatocellular carcinoma (HCC) is a heterogeneous cancer required combination therapy, such as photothermal therapy and chemotherapy. In recent years, cancer immunotherapies are rapidly evolving and are some of the most promising avenues to approach malignancies. Thus, the combination of the traditional therapies and immunotherapy in one platform may improve the efficacy for HCC treatment. Results In this work, we have prepared a black phosphorus (BP)-Au-thiosugar nanosheets (BATNS), in which Au-thiosugar coating and functionalization improved the stability of both black phosphorus nanosheets (BPNS) and gold ions in different simulated physiological environments. The compression of the BATNS band gap can convert more photon energy to heat generation compared with BPNS, resulting in higher photothermal conversion efficiency. The in vitro and in vivo results also revealed a stronger reduction on the hepatocellular carcinoma of mice and prolonged survival of disease models compared with BPNS. More importantly, BATNS showed an additional immune effect by increasing local NK cell infiltration but not T cell on the liver cancer treatment, and this immune effect was caused by the thermal effect of BATNS photothermal treatment. Conclusions The novel BATNS could improve the stability of BPNS and simultaneously combine the cancer thermotherapy and immunotherapy leaded by local NK cell infiltration, resulting in a better therapeutic efficacy on hepatocellular carcinoma. This work also provided a new path to design BP-based materials for biomedical applications. Graphical Abstract

Three-dimensional (3D) prospectivity modeling based on the weights of evidence and fuzzy logic methods was carried out for the Honghai volcanogenic massive sulfide Cu–Zn deposit in eastern Tianshan, northwestern China. A 3D geological model was constructed using geological maps, geological plans, cross sections, and boreholes. The geological model and metallogenic model of the Honghai deposit were used to generate 3D predictor maps. The weights of evidence method and fuzzy logic were then used to integrate the various predictor maps to create prospectivity maps. Capture efficiency curves were subsequently used to delineate high-prospectivity areas in the prospectivity maps. The weights of evidence method and fuzzy logic delineated 96.13% and 90.60%, respectively, of the known mineralization in the high-prospectivity areas, which occupied about 5.89% and 6.33% of the study area. Receiver operating characteristic (ROC) curves were used to evaluate the performance of the two methods, with both showing area under the curve values > 0.5, which indicates the effectiveness of both methods for 3D prospectivity modeling of the Honghai deposit. However, the weights of evidence method generally performed better than fuzzy logic for identification of the concealed and deep-seated Honghai deposit. Conversely, fuzzy logic exhibited better generalization capability. Based on the findings of this study, the high-prospectivity areas located in the south of the known orebody of the Honghai deposit should be considered as high-priority targets for future mineral exploration. This study aims to enable more effective delineation of concealed and deep-seated exploration targets in the Honghai deposit.

Background Better protection can be provided during neurosurgery due to the establishment of somatosensory-evoked potential (SEP) and motor-evoked potential (MEP) monitoring technologies. However, some studies have showed that inhaled halogenated anesthetics have a significant impact on neurophysiological monitoring. Methods A total of 40 consecutive patients undergoing neurosurgery were randomly assigned to two groups receiving inhaled anesthetics, either desflurane or sevoflurane. Multiples levels (concentrations of 0.3, 0.6 and 0.9) of anesthetics were administered at minimum alveolar concentration (MAC), and then the latencies and amplitudes of SEPs and MEPs were recorded. Results SEP and MEP signals were well preserved in patients who underwent neurosurgery under general anesthesia supplemented with desflurane or sevoflurane at concentrations of 0.3, 0.6 and 0.9 MAC. In each desflurane or sevoflurane group, the amplitudes of SEPs and MEPs decreased and the latencies of SEPs were prolonged significantly as the MAC increased (P P P Conclusions SEPs and MEPs were inhibited in a dose-dependent manner by both desflurane and sevoflurane. At the same MAC concentration, desflurane appeared to have a stronger inhibitory effect than sevoflurane. All patients studied had normal neurological examination findings, hence, these results may not be applicable to patients with preexisting deficits. Trial registration The study registered on the Chinese Clinical Trial Registry (www.chictr.org.cn), Clinical Trials identifier ChiCTR2100045504 (18/04/2021).

With the increased residents’ income, people’s willingness to travel is also increased. The trend of tourism popularisation is becoming more and more apparent. Especially during the public holiday period, the number of tourists has increased sharply, resulting in a surge in the number of tourists in some cultural heritage zones and even congested, which has raised concerns from all sectors of society. The tourists’ dissatisfaction caused by tourism crowding needs to be solved urgently. In this paper, we proposed a mobile game TouristGo which not only incentivise the tourists to visit by following the least crowded path but also collect visitors’ location data to better manage the tourist flow within the cultural heritage zones. In addition, through the process, the tourist could gain a better understanding of the knowledge of the cultural heritage zones.