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With the rapid development of wearable devices, tactile sensors have received extensive attention as supplements to vision and hearing. However, it remains challenging for a single tactile sensor to generate distinguishable electrical signals when receiving mechanical stimuli in different directions. Herein, a novel flexible electromagnetic tactile sensor (FETS) prepared by combining flexible double‐layer coils and a flexible tilted magnetic column array (TMCA) is presented. Flexible double‐layer high‐density coils are fabricated using the micro‐electromechanical system (MEMS) technology. The turns of the coil (1 × 1 cm) are 100, while both the line width and spacing of turns are 40 µm. TMCA is prepared using a template and magnetized along the axis direction. When a pulling force or pressure is applied to the TMCA, the magnetic flux decreases or increases correspondingly, allowing the FETS to accurately distinguish stimuli and produce different signals (−/+ or +/−). The FETS presents a sensitivity of up to 21.7 µV kPa−1 (0.05–10 kPa), a minimal magnetic field detection limit of 10 mT, a low‐pressure detection limit of 5 g, and good repeatability (5000 cycles). Additionally, the FETS is applied in robotic tactile testing, Morse code, and noncontact magnetic field recognition. It has potential applications in the Internet of Things (IoT) and information communication. [ABSTRACT FROM AUTHOR]

This document provides an overview of the transformation and storage of energy and carbon dioxide in deep formations, which are important for low-carbon and sustainable development. The document highlights the importance of fluid mechanics in porous media for large-scale projects related to energy and CO2 transformation and storage. It discusses various studies on topics such as CO2 miscible flooding, CO2-oil two-phase flow, rock microstructure variations, and the mechanical response of rock during fluid flows. The document concludes by stating that the studies presented in this special issue will contribute to the development of theoretical, experimental, and numerical modeling methods in this field. [Extracted from the article]

This study presents a comprehensive analysis of vehicle ownership, energy consumption, and carbon emissions in Guangdong Province, China, from 2020 to 2035 under different scenarios. Key findings highlight the province's pursuit of carbon peak goals and provide valuable insights into strategies to achieve them. Vehicle ownership in Guangdong is projected to exceed 48 million by 2035, which represents a doubling from 2020. Under both scenarios, internal combustion engine vehicle ownership will peak around 2030 and then gradually decline, while under the enhanced scenario, electric vehicle ownership will exceed 40% by 2035. Enhanced vehicle energy efficiency and reduced annual mileage will lead to a 17% reduction in gasoline and diesel consumption by 2035 in both scenarios. At the same time, there will be a substantial five- to six-fold increase in electricity consumption for vehicles compared to 2020. Both scenarios peak in carbon emissions before 2030, with the enhanced scenario achieving this peak a year earlier. The enhanced scenario outperforms the baseline, reducing carbon emissions by about 21.2% from the peak and 8% relative to 2020. Pure electric vehicles exhibit a significant advantage in reducing carbon emissions per vehicle compared to their internal combustion engine counterparts. Encouraging new energy vehicles, especially pure electric ones, accelerates the carbon emissions peak and lowers overall peak emissions. Accelerating the adoption of electric vehicles, reducing per-vehicle fuel consumption and annual average mileage, and optimizing transportation modes are crucial for carbon peaking from the vehicle fuel cycle. Policy recommendations focus on promoting new energy vehicles, optimizing transportation, and advancing research and technology. [ABSTRACT FROM AUTHOR]

Qingyi granules can be used to effectively treat patients with severe acute pancreatitis (SAP). To elucidate the role of gut microbiota-mediated metabolism in the therapeutic effects of Qingyi granules. Sprague–Dawley rats were grouped into the sham operation, SAP model, Qingyi granule intervention (Q, 1.8 g/kg) and emodin intervention (E, 50 mg/kg) groups and observed for 24 h. H&E staining and ELISA were used for histopathological analysis and serum enzyme and cytokine assays. 16S rDNA sequencing and UHPLC-HRMS were used for gut microbiota analysis and untargeted metabolomics. In SAP rats, Qingyi granules decreased the pancreatic pathological score (Q, 7.4 ± 1.14; SAP, 11.6 ± 1.14, p < 0.01); serum amylase (Q, 121.2 ± 6.7; SAP, 144.3 ± 8.86, p < 0.05), lipase (Q, 566 ± 20.34; SAP, 656.7 ± 29.32, p < 0.01), and diamineoxidase (Q, 492.8 ± 26.08; SAP, 566.1 ± 26.83, p < 0.05) activities; and IL-1β (Q, 29.48 ± 0.88; SAP, 36.17 ± 1.88, p < 0.01), IL-6 (Q, 112.2 ± 3.57; SAP, 128.9 ± 9.09, p < 0.05) and TNF-α (Q, 215.3 ± 8.67; SAP, 266.4 ± 28.03, p < 0.05) levels. SAP induced Helicobacter and Lactobacillus overgrowth and suppressed Romboutsia and Allobaculum growth and caused aberrations in bacterial metabolites, which were partly reversed by Qingyi granules. Qingyi granules can modulate the gut microbiota and metabolic abnormalities to ameliorate SAP. Multi-omics approaches allow systematic study of the pharmacological mechanisms of compound prescriptions for critical illnesses. [ABSTRACT FROM AUTHOR]

With the increase of tumor perfusion and oxygenation during tumor vascular normalization, the hypoxia imaging signal weakens. Hepatocellular carcinoma (HCC) is a vascular tumor characterized by hypervascularity and marked vascular abnormalities. [ SP 18 sp F]Fluoromisonidazole ([ SP 18 sp F]FMISO) PET, a noninvasive technique for imaging of hypoxia, could determine the function of tumor blood vessels after anti-angiogenic therapy and help to determine the ideal regimen required for normalization [[18]]. There are differences in the vasculature and microenvironment of primary tumor grafts and subcutaneous tumor xenografts [[16]]. [Extracted from the article]

The gas chromatography–ion mobility spectrometry (GC-IMS) method is a new technology for detecting volatile organic compounds. This study was carried out to evaluate the effects of volatile aroma compounds of Curcuma essential oils (EOs) after 60Co radiation by GC-IMS. Dosages of 0, 5, and 10 kGy of 60Co were used to analyze EOs of Curcuma after 60Co irradiation (named EZ-1, EZ-2, and EZ-3). The odor fingerprints of volatile organic compounds in different EOs of Curcuma samples were constructed by headspace solid-phase microextraction and GC-IMS after irradiation. The differences in odor fingerprints of EOs were compared by principal component analysis (PCA). A total of 92 compounds were detected and 65 compounds were identified, most of which were ketones, aldehydes, esters, and a small portion were furan compounds. It was found that the volatile matter content of 0 kGy and 5 kGy was closer, and the use of 10 kGy 60Co irradiation would have an unstable effect on the EOs. In summary, it is not advisable to use a higher dose when using 60Co irradiation for sterilization of Curcuma. Due to the small gradient of irradiation dose used in the experiment, the irradiation dose can be adjusted appropriately according to the required sterilization requirements during the production and storage process of Curcuma to obtain the best irradiation conditions. GC-IMS has the advantages of GC's high separation capability and IMS's fast response, high resolution, and high sensitivity, and the sample requires almost no pretreatment; it can be widely used in the analysis of traditional Chinese medicines containing volatile components. It is shown that irradiation technology has good application prospects in the sterilization of traditional Chinese medicines, but the changes in irradiation dose and chemical composition must be paid attention to. [ABSTRACT FROM AUTHOR]

We investigate the effects of the circularly polarized light (CPL) and the electric field (EF) on the nonlocal transport in a silicene-based antiferromagnet/superconductor/ferromagnet (AF/S/F) asymmetrical junction. For case I (II), the CPL and the EF are applied simultaneously in the antiferromagnetic (ferromagnetic) region, whereas in the ferromagnetic (antiferromagnetic) region, only a constant EF is considered. The spin-valley-resolved conductance can be turned on or off by adjusting the CPL or the EF. The AF/S/F junction can be manipulated as a spin-locked valley filter for case I, while for case II, it can be used not only as a valley-locked spin filter but also as a nonlocal switch between two pure nonlocal processes. Such interesting nonlocal switch effect can be effectively controlled by reversing the direction of the incident energy axis, the handedness of the CPL, or the direction of the EF. These findings may open an avenue to the design and manufacture of the spintronic and valleytronic devices based on the asymmetrical silicene magnetic superconducting heterostructure. [ABSTRACT FROM AUTHOR]

The 2D/2D van der Waals heterojunctions have promising photocatalytic applications. However, their interfacial interaction and photocatalytic mechanism are still unclear. Herein, monolayer black phosphorus (BP)/graphitic carbon nitride (GCN) heterojunction photocatalytic hydrogen evolution is systematically investigated using the density‐functional theory method. It is indicated in the results that BP/GCN heterojunction structure distortion and interface interaction change its electronic structure and photocatalytic performance. The hydrogen‐adsorption free energy of BP/GCN heterojunction is −0.28 eV, indicating that the BP/GCN heterojunction has a high catalytic activity for hydrogen production. Calculated Bader charge and Fermi energy level show that a built‐in electric field from BP to GCN forms in its interface. The energy barrier and built‐in electric field promote the recombination of photogenerated electrons in GCN conduction band and photogenerated holes in BP valence band; electrons on the BP conduction band and holes on the GCN valence band are effectively separated in space; and more electrons and holes can participate in redox reactions on the surface. The BP/GCN heterojunction is a type Z heterojunction. Significant improvement in photocatalytic reaction efficiency is attributed to the type Z photocatalytic mechanism and small free energy of hydrogen adsorption. Herein, it is aimed to offer insights into the photocatalytic mechanism of 2D/2D heterojunctions. [ABSTRACT FROM AUTHOR]

A subgroup H of a finite group G is said to be CSS-subgroup of G if there exists a normal subgroup K of G such that G = HK and H ∩ K is SS-quasinormal in G. In this paper, we investigate the p-nilpotency of the finite groups under the assumption that there is a subgroup D of P such that 1 < |D| < |P| and every subgroup of P with order |D| or 2|D| (whenever |D| = 2) is CSS-subgroup, where p is a prime dividing the order of G and P is a Sylow p-subgroup of G. As an application of the results, a related problem posed by Heliel et al. in [Finite groups with minimal CSS-subgroups, Eur. J. Pure Appl. Math. 14 (2021) 1002–1014] is solved. [ABSTRACT FROM AUTHOR]

The effect of adding elements to promote phase separation on the functional properties of medium-entropy alloys has rarely been reported. In this paper, medium-entropy alloys with dual FCC phases were prepared by adding Cu and Ag elements, which exhibited a positive mixing enthalpy with Fe. Dual-phase Fe-based medium-entropy alloys were fabricated via water-cooled copper crucible magnetic levitation melting and copper mold suction casting. The effects of Cu and Ag elements microalloying on the microstructure and corrosion resistance of a medium-entropy alloy were studied, and an optimal composition was defined. The results show that Cu and Ag elements were enriched between the dendrites and precipitated an FCC2 phase on the FCC1 matrix. During electrochemical corrosion under PBS solutions, Cu and Ag elements formed an oxide layer on the alloy's surface, which prevented the matrix atoms from diffusing. With an increase in Cu and Ag content, the corrosion potential and the arc radius of capacitive resistance increased, while the corrosion current density decreased, indicating that corrosion resistance improved. The corrosion current density of (Fe63.3Mn14Si9.1Cr9.8C3.8)94Cu3Ag3 in PBS solution was as high as 1.357 × 10−8 A·cm−2. [ABSTRACT FROM AUTHOR]

Objective: The purpose of the study was to investigate the feasibility and preliminary effects of unilateral biportal endoscopic extreme transforaminal lumbar interbody fusion(UBE-eXTLIF) with large cage combined with endoscopic unilateral pedicle screw fixation for lumbar degenerative diseases. Methods: Patients with lumbar degenerative diseases who received UBE-eXTLIF with large cage combined with endoscopic unilateral pedicle screw fixation from June 2022 to July 2022 were retrospectively analyzed, including 4 females and 1 males. The clinical symptoms and signs were consistent with the imaging changes. We recorded operation time, length of postoperative hospital stay, and complications. Visual Analogue Scale (VAS), Oswestry Disability Index (ODI), and modified Macnab scale was used to evaluate the clinical efficacy at preoperative, postoperative 1 month, and the last follow-up. Results: The operation was successfully completed in all cases. The operation time was 150–180 min, with an average of 164.60 ± 12.03 min. No serious complications such as dural tears and vascular and nerve injuries occurred during operation. All the patients got out of bed 1–3 days after surgery and were hospitalized 4–5 days after surgery, with an average of 4.20 ± 0.45 days. Preoperative VAS scores of low back pain were 6.20 ± 0.84 and respectively decreased to 2.20 ± 0.45 and 1.40 ± 0.55 at postoperative 1 month and at the last follow-up, and the difference was statistically significant (P < 0.05). Preoperative VAS scores of lower limb pain were 4.60 ± 2.61 and respectively decreased to 1.00 ± 0.71 and 0.60 ± 0.55 at postoperative 1 month and at the last follow-up, and the difference was statistically significant (P < 0.05). Preoperative ODI scores were 62.00 ± 3.16 and respectively decreased to 38.00 ± 1.41 and 32.40 ± 3.29 at postoperative 1 month and at the last follow-up, and the difference was statistically significant (P < 0.05). According to the modified Macnab criteria, the final outcome was excellent in 4 cases and good in 1 case. Five patients could return to normal activities within 3 weeks. Conclusions: UBE-eXTLIF with large cage combined with endoscopic unilateral pedicle screw fixation can achieve excellent clinical results and may become a new minimally invasive endoscopic fusion method for lumbar degenerative diseases. [ABSTRACT FROM AUTHOR]

The main challenges of remote sensing image scene classification are extracting discriminative features and making full use of the training data. The current mainstream deep learning methods usually only use the hard labels of the samples, ignoring the potential soft labels and natural labels. Self-supervised learning can take full advantage of natural labels. However, it is difficult to train a self-supervised network due to the limitations of the dataset and computing resources. We propose a self-supervised knowledge distillation network (SSKDNet) to solve the aforementioned challenges. Specifically, the feature maps of the backbone are used as supervision signals, and the branch learns to restore the low-level feature maps after background masking and shuffling. The "dark knowledge" of the branch is transferred to the backbone through knowledge distillation (KD). The backbone and branch are optimized together in the KD process without independent pre-training. Moreover, we propose a feature fusion module to fuse feature maps dynamically. In general, SSKDNet can make full use of soft labels and has excellent discriminative feature extraction capabilities. Experimental results conducted on three datasets demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

Although photoinduced copper catalysis for carbon–nitrogen (C–N) amine bond formation with alkyl/aryl halides has been developed, the potential of copper catalysis for the synthesis of 1,3-substituted benzimidazolone molecules remains mostly unexplored. We herein report for the first time that unsymmetrical 1,3-substituted-1,3-dihydro-benzimidazolones can be readily prepared from monosubstituted benzimidazolones with primary alkyl, allyl, and benzyl bromides in the presence of a catalytic amount of copper(I) bromide and visible light. The catalytic system was optimized and a library of benzimidazolone products were converted in overall great yields up to 99%, demonstrating the utility of this approach for practical and green synthesis schemes. [ABSTRACT FROM AUTHOR]

It has been realized that the influence of system parameter uncertainties may be very significant, even dominant, in stochastic response evaluation. Nevertheless, in reality, this evaluation process may be difficult to conduct due to these parameter variables (viz. structural property parameters, such as stiffness, damping, and strength, and excitation characteristics parameters, such as frequency content and duration) that are usually correlated with each other. Therefore, this study devotes to develop a method for evaluating stochastic response uncertainty involving correlated system parameter variables. In this method, the evaluation expression for the mean and standard deviation of the maximum response including uncertainty parameter variables are provided first; subsequently, a third-moment pseudo-correlation normal transformation is able to be performed for converting the correlated and non-normal system parameter variables with unknown joint probability density function (PDF) or marginal PDF into the mutually independent standard normal ones; ultimately, a point estimate procedure (PEP) based on univariate dimension reduction integration can be carried out for evaluating the structural stochastic response including uncertainty system parameters. Several numerical examples with an engineering background involving correlated system parameter variables are analyzed and discussed under stochastic excitation, and their results are compared with those yielded by Monte Carlo simulation (MCS) so as to demonstrate the effectiveness of the approach proposed. It indicated that the method proposed, in this study, provides an effective path to deal with uncertainty evaluation of stochastic structural response involving correlated random variables. [ABSTRACT FROM AUTHOR]

On 15 May 2021, the Zhurong rover of China's first Mars mission, Tianwen-1 (TW-1), successfully landed in southern Utopia Planitia on Mars. Various landforms were present in the landing area, and this area recorded a complex geological history. Cones are one of the typical landforms in the landing area and Utopia Planitia, and they have a great significance to the local geological processes due to the diversity of their origins. Using High-Resolution Imaging Camera (HiRIC) images collected by the TW-1 orbiter, we identified a total of 272 well-preserved circular cones in the landing area. Detailed surveys of their spatial distribution, morphological characteristics, and morphometric parameters were conducted. A preliminary analysis of the surface characteristics of these cones also provides additional information to strengthen our understanding of them. The results of the high-resolution topographic analysis show that the cone heights are in the range of 10.5–90.8 m and their basal diameters range from 178.9–1206.6 m. We compared the morphometric parameters of the cones in the landing area with terrestrial and Martian analogous features and found that our measured cones are consistent with the ranges of mud volcanoes and also a small subset of igneous origin cones. However, the result of spatial analysis is more favorable to mud volcanoes, and the lower thermal inertia of the cones in the landing area compared to their surrounding materials is also a typical characteristic of mud volcanoes. Based on current evidence and analysis, we favor interpreting the cones in the TW-1 landing area as mud volcanoes. [ABSTRACT FROM AUTHOR]

Dynamic reliability evaluation on foundation of stone cutting machine is usually affected by ambient background noise. In this paper, a nested evaluation approach of dynamic reliability is conducted for handling this complex situation. After getting the detected data, a fast identified process is available for fastly identifying the dynamic parameter foundation of stone cutting machine by using the peak-picking method, in which the natural frequency of foundation is able to be first identified by the equivalent frequency response function for the self-power spectrum of the foundation; subsequently, the damping ratio of the foundation, on the basis of the previous result of natural frequency, is identified by the half-power broadband technology; eventually, after obtaining these dynamic parameters identified, the failure probability of the foundation and its corresponding dynamic reliability index, under ambient excitation, is capable to be calculated based on the first-passage probability of the maximum response. An example of stone cutting machine foundation with engineering background is investigated in detail, and its result diagrams calculated by the proposed approach can be demonstrated that the foundation of stone cutting machine is safe and reliable in the current environment. The proposed method, in this paper, provides an effective path for evaluating the foundation reliability of stone cutting machine under ambient excitation. [ABSTRACT FROM AUTHOR]

Mauremys reevesii is an endangered freshwater turtle that symbolizes longevity in Chinese culture. Despite its importance, genetic studies of this species remain limited, with no genomic sequence reported to date. Here, we report a high‐quality, chromosome‐level genomic sequence of M. reevesii obtained using a combination of Nanopore and Hi‐C sequencing technologies. The 2.37 Gb M. reevesii genome was assembled from a total of ~226.80 Gb of Nanopore sequencing data. The M. reevesii genome contig N50 is 34.73 Mb, the highest value in published turtle genomes. In total, 18,238 genes were functionally annotated. The contigs were clustered and ordered onto 27 pseudochromosomes covering ~96.55% of the genome assembled with Hi‐C data. To explore genome evolution, synteny analysis was performed between M. reevesii (freshwater turtle) and Gopherus evgoodei (terrestrial turtle) genomes. In general, each chromosome of M. reevesii corresponded to one chromosome of Gopherus evgoodei, but some interchromosomal rearrangements occurred between the two species based on the assembled genomes. These interchromosomal rearrangements were further confirmed by mapping of the long‐read nanopore data to the assembly. The reconstructed demographic history showed varied effective population size among freshwater, marine and terrestrial turtles. We also discovered expansion of genes related to the innate immune system in M. reevesii that may provide defence against freshwater pathogens. The high‐quality genomic sequence provides a valuable genetic resource for further studies of genetics and genome evolution in turtles. [ABSTRACT FROM AUTHOR]

To obtain applicable catalysts for toluene combustion, Ru‐promoted Pr2Sn2O7 has been prepared with impregnation (Ru/Pr2Sn2O7) and hydrothermal method (Ru−Pr2Sn2O7). For the two Ru/Pr2Sn2O7 catalysts, Ru scatters on the surface of Pr2Sn2O7 as both metallic Ru and RuO2. In contrast, for the two Ru−Pr2Sn2O7 catalysts, Ru is substituted into Pr2Sn2O7 lattice as Ru4+. The distribution states of Ru affect significantly the active surface oxygen amount and the toluene adsorption capacity, which are the two major reasons influencing the reactivity. On Ru/Pr2Sn2O7, a greater quantity of active oxygen sites can be formed than on Ru−Pr2Sn2O7. Furthermore, the presence of surface Ru0 facilitates also toluene adsorption. As a consequence, the intrinsic activity of the two Ru/Pr2Sn2O7 catalysts are much higher than the two Ru−Pr2Sn2O7 catalysts. It is concluded that supporting Ru on Pr2Sn2O7 surface is a better way than doping Ru into its lattice to fabricate more active and applicable catalysts. [ABSTRACT FROM AUTHOR]

The development of high‐efficient red thermally activated delayed fluorescent (TADF) materials is crucial to expanding their applications. Here, the acceptor reconstruction strategies of acceptor bonding and acceptor fusing in donor–acceptor‐type materials to modulate their nonradiative deactivation process and emission color for expanding high‐efficient red TADF emitters are presented. They are applied to design novel red TADF emitters TXO‐b‐TPA and TXO‐f‐TPA based on non‐red thioxanthone oxide (TXO) acceptor. Compared to TXO‐based emitter TXO‐TPA, these acceptor reconstruction strategies enable red‐shifted (48–88 nm) and efficient red TADF emission (600–640 nm). Their radiative and nonradiative transition processes can be modulated by the different molecular orbital and excited state distributions based on their acceptor structural differences, which results in a dramatic enhancement of their organic light‐emitting diode (OLED) device efficiencies from 1.21/3.63% (TXO‐f‐TPA) to 20.9% (TXO‐b‐TPA). These results confirm that the acceptor reconstruction strategies provide a viable solution for overcoming the limitations of previous red TADF emitters. Moreover, the retrieval of reported TADF materials can further demonstrate that these acceptor reconstruction strategies can be transferrable to more non‐red TADF materials to expand high‐efficient red‐shift and/or red TADF materials. [ABSTRACT FROM AUTHOR]

This article focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a high-spatial-resolution HSI (HR-HSI). Existing deep learning-based approaches are mostly supervised that rely on a large number of labeled training samples, which is unrealistic. The commonly used model-based approaches are unsupervised and flexible but rely on handcrafted priors. Inspired by the specific properties of model, we make the first attempt to design a model-inspired deep network for HSI super-resolution in an unsupervised manner. This approach consists of an implicit autoencoder network built on the target HR-HSI that treats each pixel as an individual sample. The nonnegative matrix factorization (NMF) of the target HR-HSI is integrated into the autoencoder network, where the two NMF parts, spectral and spatial matrices, are treated as decoder parameters and hidden outputs, respectively. In the encoding stage, we present a pixelwise fusion model to estimate hidden outputs directly and then reformulate and unfold the model’s algorithm to form the encoder network. With the specific architecture, the proposed network is similar to a manifold prior-based model and can be trained patch by patch rather than the entire images. Moreover, we propose an additional unsupervised network to estimate the point spread function and spectral response function. Experimental results conducted on both synthetic and real datasets demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

• The GaSe 1-x Te x /MoS 2 displays a type-II band alignment. • The electrons are moved from the GaSe 1-x Te x to the MoS 2 layer. • Te doping improves effective mass ratio and carrier separation efficiency. • The visible light absorption ability is improved in the lower energy region. In this work, the influence of Te atom doping on GaSe 1-x Te x /MoS 2 heterojunctions within the electronic, optical, and photocatalytic behavior are examined by means of first-principles calculations. The outcomes demonstrate that GaSe 1-x Te x /MoS 2 is a van der Waals heterojunction and displays a type-II band alignment, as substantiated by the binding energy and layer separation. Te atom doping can functionally govern the bandgap of GaSe 1-x Te x /MoS 2 , and all of them present a progressively decreasing tendency with the increase of the doping concentration, covering a range from 1.28 eV to 0 eV. Additionally, the VBM and CBM in all configurations derive from the contribution of electrons supplied by the Te- p and Mo- d orbitals, respectively. The CDD and W suggest that the electrons in GaSe 1-x Te x /MoS 2 are moved from the GaSe 1-x Te x to the MoS 2 layer, yet the impact of Te doping on the charge distribution at the interface is quite tenuous. Moreover, the increase in Te doping concentration improves the probability of photogenerated electron and hole desynchronization, and the larger VBOs and CBOs in the interlayers of GaSeT 0.33 /MoS 2 and GaSeB 0.33 /MoS 2 lead to a redistribution of electrons, which is conducive to the acceleration of the efficient dissociation of the photogenerated electron-hole pairs. Comparing with the monolayers, the two heterojunctions reveal the relatively wider absorption edge and enhanced light absorption ability in the lower energy visible light range, predicting the potential utilization of both in the fields of photocatalysis and solar energy conversion. [ABSTRACT FROM AUTHOR]

The Yutu‐2 rover of Chang'E‐4 encountered four special rocks along its path. The onboard Visible and Near‐infrared Imaging Spectrometer (VNIS) collected their spectral data at close range. In this work, we focus on the visible/near‐infrared image cubes captured by the VNIS. Simple classification was performed using the K‐means algorithm based on the 750/900 nm spectral ratios to highlight the surface material variations. In the case of narrow measurements of phase angle, the classification results were not significantly affected by viewing geometry. Varying degrees of dust coverage on the rock surfaces were revealed, which may be attributed to ejecta deposition and dust electrostatic levitation. The spectral shapes of the less dust‐covered surfaces indicated that these rocks are dominated by mafic materials, suggesting they may not originate from the lunar upper crust. The influence of dust coverage on spectral measurement of rocks was also confirmed, which significantly attenuates the absorption depths. Plain Language Summary: The Chang'E‐4 (CE‐4) mission is the first probe to successfully land on the lunar farside. The rover of CE‐4 mission, Yutu‐2, has come across four curious rocks during its exploration. To reveal their compositions, Yutu‐2 rover conducted close investigations and captured their spectral images using the onboard Visible and Near‐infrared Imaging Spectrometer instrument (VNIS). We analyzed these data and found an interesting phenomenon that these rock surfaces are partly covered by lunar dust. Dust coverage obscures the information from the rocks themselves, making it difficult to decipher the rock compositions if not carefully handled. Fortunately, benefiting from the spatial insight provided by the VNIS, we analyzed the areas with less dust coverage on rock surfaces and determined that these rocks are likely dominated by mafic materials, suggesting that they may not originate from the lunar upper crust. Key Points: The spectral variations of the rock surfaces are revealed using the visible/near‐infrared image cubes collected by the Chang'E‐4 (CE‐4) roverThe four rocks encountered by the CE‐4 rover may be all dominated by mafic materials but with different degrees of dust coverageThe absorption depths of the rock surface spectra in the field of view are significantly attenuated as a result of dust coverage [ABSTRACT FROM AUTHOR]

Aerosol optical depth from different satellite sensors are widely used to estimate surface PM2.5 concentrations. However, these products generally have coarse resolutions, limiting the ability to evaluate PM2.5 concentrations in urban regions where the human activities are relatively high. This study first develops an ensemble machine learning approach to produce PM2.5 concentrations with an extremely high spatial resolution of 250 m, based on Moderate Resolution Imaging Spectroradiometer (MODIS) measurements of top-of-atmosphere reflectance and related meteorological variables. The Yangtze River Delta region, with one of the highest levels of PM2.5 pollution in China, is the study region chosen. The model shows a very high and stable performance with a coefficient of determination ($R^{2}$) of 0.90, a root-mean-square error (RMSE) of $12.0~\mu \text{g}/\text{m}^{3}$ , a mean prediction error (MPE) of $7.8~\mu \text{g}/\text{m}^{3}$ , and a mean relative prediction error (RPE) 16.9% for sample-based cross validation. The model can accurately capture the distribution patterns and magnitudes of PM2.5 concentrations over the study region for seasonal mean, daily variations, and different levels of air pollution. The very high resolution of the model has the advantage of capturing the uneven spatial distribution of PM2.5 concentrations at small spatial scales and identifying small areas with very high PM2.5 concentrations, offering a possible approach for locating the sources of PM2.5 emissions. In general, the model developed here estimates very well PM2.5 concentrations at a very high spatial resolution, providing detailed information, useful for air-pollution-related studies, as well as pollution monitoring and evaluation by governments, especially in urban and urban-center areas. [ABSTRACT FROM AUTHOR]

Objective. To investigate the relationship between the long noncoding RNA (lncRNA) Prostate cancer-associated transcription factors 14 (PCAT14) and the clinical characteristics of prostate cancer and immune cell infiltration. Methods. The relationship between PCAT14 expression and the clinicopathological characteristics of prostate cancer was analyzed based on The Cancer Genome Atlas (TCGA) database. Receiver operating characteristic (ROC) curves were used to evaluate the value of PCAT14 as a diagnostic marker for prostate cancer. The relationship between PCAT14 and immune cell infiltration was analyzed to explore the effect of PCAT14 on the immune-related functions of prostate cancer. Results. The ROC curve showed that PCAT14 had a significant diagnostic ability (area under curve = 0.818) for prostate cancer. A reduced expression of PCAT14 in prostate cancer was related to T stage, N stage, primary therapy outcome, residual tumor, Gleason score, and age. The expression of PCAT14 was independently associated with the progression-free interval in prostate cancer patients. The infiltration of immune cells in prostate cancer showed a significant negative correlation between the expression of PCAT14 and plasmacytoid dendritic cells, activated dendritic cells, regulatory T cells, and neutrophils. Conclusions. PCAT14 is highly expressed in prostate cancer and is expected to be a diagnostic marker. PCAT14 might promote the development of prostate cancer through chemokines, antimicrobials, and cytokines that affect the infiltration of immune cells. [ABSTRACT FROM AUTHOR]

Hyperspectral image fusion aims to generate a high-resolution hyperspectral image by utilizing a low-resolution hyperspectral image and a high-resolution multispectral image. Inspired by model-based image fusion method, we propose a new image fusion network which use deep prior information as spatial guide information. Our fusion network is mainly obtained by the following steps: First, we propose a fusion model which use spatial information as regularization term. Second, we use half splitting quadratic method to solve the improved fusion model. Third, we interpret the model with a network structure. In the network, we use encoding-decoding structure to construct the spatial regularization term. Finally, in order to ensure both spectral and spatial information contained in each iteration can be fully utilized, an aggregation module is added at the end of the network. Experimental results on three simulation data sets demonstrate that the proposed method performs well in solving the fusion problem. [ABSTRACT FROM AUTHOR]

In order to convert galloping-based vibration energy generated by wind flow into electricity more effectively, an innovative piezoelectric energy harvester (PEH) with V-shaped windward wings is proposed and designed to evaluate its performance in this paper. The V-shaped PEH mainly consists of three components: the main cantilever beam made of an aluminum plate, a piece of macro-fiber piezoelectric composite stuck to the end of the main cantilever beam as the key element of energy harvesting, and a pair of V-shaped windward wings as the structure of the bluff body to produce stronger and more regular vortices in wind flow. Wind tunnel experiments are conducted to evaluate its performance of the output voltages, and the results confirm that the angles of V-shaped wings have dramatically affected the behavior of energy harvesting. A pair of 60° angles was confirmed as the optimal angle for this V-shaped PEH, which can achieve the peak-to-peak value of alternating current voltage (VAC-PP) of more than 100 V when the wind velocity is 10 m/s. Subsequently, the fully fluid–solid-electric coupling for this corresponding two dimensional model is simulated by COMSOL Multiphysics, which expounds the mechanism of swing for this V-shaped PEH under the galloping-based vibration, as well as verifies the rationality of the experimental results. [ABSTRACT FROM AUTHOR]

To promote the utilization efficiency of solar energy, a one‐step strategy to fabricate 2D/2D Z‐scheme BiOCl/g‐C3N4 nanosheets (BiOCl/CNs) heterojunction through the in‐situ growth of BiOCl on CNs was studied. Here, we report that ultrathin CNs with wrinkled surface are prepared by a rapid cooling method. The wrinkled surface of CNs provided more active sites for BiOCl to anchor on it thus facilitating the formation of the tight heterojunction structure via a solvothermal process. The as‐prepared BiOCl/CNs hybrid photocatalysts was confirmed by various physicochemical characterizations. The results showed the uniform distribution of BiOCl nanoflakes on g‐C3N4 nanosheets and formation of 2D/2D Z‐scheme heterojunction structure. The as‐prepared BiOCl/CNs‐5 photocatalyst displays extraordinarily photocatalytic activity for the photocatalytic degradation of RhB and Cr(VI) reduction under visible light irradiation, about 94 % RhB and 93 % Cr(VI) was degraded in 100 min. The remarkable photocatalytic properties were attributed to the Z‐scheme hierarchical structure, large specific surface and efficient charge carrier separation. Furthermore, the Z‐scheme photocatalytic reaction mechanism was presented to elucidate the improved photocatalytic activity of BiOCl/CNs photocatalyst. The photodegradation of phenol and radical species trapping experiments were conducted to prove the formation of Z‐scheme. This work provides a facile route for the construction of g‐C3N4 based Z‐scheme structure photocatalyst for efficient visible light photocatalytic performance. [ABSTRACT FROM AUTHOR]

Piezoelectric cantilever beams, which have simple structures and excellent mechanical/electrical coupling characteristics, are widely applied in energy harvesting. When the piezoelectric cantilever beam is in a wind field, we should consider not only the influence of the wind field on piezoelectric beam but also the electromechanical coupling effect on it. In this paper, we design and test a wind-induced flag-swing piezoelectric energy harvester (PEH). The piezoelectric cantilever beam may vibrate in the wind field by affixing a flexible ribbon to the free end as the windward structure. To fulfill the goal of producing electricity, the flexible ribbon can swing the piezoelectric cantilever in a wind-induced unstable condition. The experimental findings demonstrate that the flag-swing PEH performs well in energy harvesting when the wind field is excited. When the wind speed is 15 m/s, the peak-to-peak output AC voltage may reach 13.88 V. In addition, the voltage at both ends of the closed-loop circuit's external resistance is examined. The maximum electric power of the PEH may reach 43.4 μW with an external resistance of 650 kΩ. After passing through the AC-DC conversion circuit, the flag-swing PEH has a steady DC voltage output of 1.67 V. The proposed energy harvester transforms wind energy from a wind farm into electrical energy for supply to low-power electronic devices, allowing for the creation and use of green energy to efficiently address the issue of inadequate energy. [ABSTRACT FROM AUTHOR]

High-resolution optical cameras have always been important scientific payloads in Mars exploration missions, which can obtain detailed images of Martian surface for the study of geomorphology, topography and geological structure. At present, there are still many challenges for Mars high-resolution images in terms of global coverage, stereo coverage (especially for colour images), and data processing methods. High Resolution Imaging Camera (HiRIC) is a high-quality, multi-mode, multi-functional, multi-spectral remote sensing camera that is suitable for the deep space developed for China's first Mars Exploration Mission (Tianwen-1), which was successfully launched in July 2020. Here we design special experiments based on the in-orbit detection conditions of Tianwen-1 mission to comprehensively verify the detection capability and the performance of HiRIC, from the aspects of image motion compensation effect, focusing effect, image compression quality, and data preprocessing accuracy. The results showed that the performance status of HiRIC meets the requirements of obtaining high resolution images on the Martian surface. Furthermore, proposals for HiRIC in-orbit imaging strategy and data processing are discussed to ensure the acquisition of high-quality HiRIC images, which is expected to serve as a powerful complementation to the current Mars high-resolution images. [ABSTRACT FROM AUTHOR]

The small sample problem has always been a serious challenge in hyperspectral image (HSI) classification. In order to obtain satisfactory results when the training samples are insufficient, the information around the training samples should be fully utilized. In this paper, we focus on small sample learning and propose a novel composite kernel learning network (CKLNet) for HSI classification. First, principal component analysis and extended morphological analysis are utilized to extract features. Then, we introduce generalized kernel method into deep learning technology. The spatial-spectral composite kernel learning (SSCKL) module is developed to construct discriminative and robust spatial-spectral generalized kernel features. In the process of constructing kernel features, the deep correlation information between samples is extracted simultaneously. The kernel hyperparameters in SSCKL are automatically learnt through backpropagation, thus avoiding the need to spend a lot of time on cross-validation. Finally, inspired by U-Net, a global-local feature extraction (GLFE) module is designed to extract spatial features of different scales. A set of classification probability maps can be obtained by the 1 × 1 convolutional layer in the GLFE module. Experimental results on three widely used datasets demonstrate the effectiveness of the proposed CKLNet. [ABSTRACT FROM AUTHOR]

The Tianwen-1 mission is China's first Mars exploration mission. To complete the scientific objectives of "orbiting, landing, and patrolling" in one mission, thirteen instruments for acquiring multi-disciplinary data are configured. The data products with rich ancillary data and flexible structures will facilitate the data application. To integrate the requirements of experts from disparate disciplines and leverage new information technologies, a complete redesign of data products is promoted in the Tianwen-1 mission. We discuss the whole process of data product generation from the data pipeline design to data validation. We design the various data products according to the application requirements of each data type, including radar echo data, spectrum data, image data, energy spectrum data, magnetic field data, meteorological data, and acoustic data. Since various error sources will exist in the generation chain of the data products, data validation is essential before release to the public; the validation activities are discussed at the end. We deliver these scientific products to the community in a timely manner, with ancillary information and quality information. This paper can provide practical reference for Tianwen-1 data application. [ABSTRACT FROM AUTHOR]

A color and fluorescence turn-on H2S probe is synthesized, achieving real-time detection of H2S in pure water solution with high selectivity. Importantly, the probe is able to sense H2S gas in air via the probe-deposited test paper, which has been successfully used for food spoilage identification. [ABSTRACT FROM AUTHOR]

Considering that fractures arising from fracturing systems have bifurcation characteristics, mathematical models for single- and two-phase flow in porous media with a bifurcated fracture (BFPM) were established. The phase-field method was adopted to trace the oil–water interface, and the influence of fracture morphology, boundary conditions, gravity, and wettability on imbibition in BFPM was discussed. The results are as follows: (1) during single-phase flow in BFPM, the velocity in the bifurcated fracture was several orders of magnitude greater than that in the matrix. (2) Imbibition in BFPM includes countercurrent imbibition and the combination of co-current and countercurrent imbibition. The bifurcated fracture produces an increase in matrix pores that participate in imbibition, thus increasing the oil recovery factor by approximately 30% during simulation. (3) Closing an outlet of the bifurcated fracture has minimal effect on imbibition during the early stage (approximately the first 6 s) and an inhibitory effect during the middle and late stages (after 6 s), which leads to a decrease in oil recovery factor. (4) When the surface tension value is low (0.1 and 1 mN/m), disregarding the effect of gravity during imbibition results in an overestimated oil recovery factor value, while a large surface tension value (20 and 25 mN/m) produces the opposite effect. (5) Similar to the laws followed in porous media with pure pores and a single fracture, improving BFPM wettability increases the oil recovery factor value. This study can provide guidance for the production of low-permeability reservoirs. [ABSTRACT FROM AUTHOR]

[Display omitted] Incorporating piezo-response into photocatalysis holds great promise for eco-friendly strategies in environmental remediation and sustainable energy conversion. Herein, flexible N -defect nanoporous g-C 3 N 4 nanosheets (NPCNs) was prepared via one-step method, then whose surface was protonated. And existed dense 1T/2H phase and vertical interfaces in non-layer-dependent-piezo-response sailboat-like-MoS 2 (Sv-MS) formed by in-situ stresses during nucleation and growth by experiments and MD-simulations. Noble-metal-free Z-scheme PC/VM heterojunction with broad-spectrum absorption, enhanced piezo-response and intimate triple-interface was established by electrostatic self-assembly, performing efficient hybrid-driven piezo-photocatalysis. With a systematic modification of morphology, grain size, phase composition, and surface condition of the components, the optimal PC(3.6H)/VM(u2) exhibited high piezo-photocatalytic rates for degradation of organic dyes and antibiotic (RhB (0.565 min-1), MO (0.052 min-1), MB (1.557 min-1), TC (0.062 min-1)) and hydrogen evolution (3528 μmolg-1h-1) under visible-light and ultrasonic-wave, with maintenance under NIR-light (λ max = 1000 nm) attributed to up-conversion effect (RhB: 0.212 min-1, H 2 : 2355 μmolg-1h-1). Furthermore, the piezo-photocatalytic mechanism was proposed by experiments and DFT-calculations for effective triple-interface Z-Scheme charge migration. This work provides a rational protocol for constructing diverse-energy-triggered, multiple-interfaces and broad-solar-spectrum (UV–Vis-NIR) piezo-photocatalysts in degradation and hydrogen evolution. [ABSTRACT FROM AUTHOR]

AbstractLet H be a subgroup of a finite group G. We say that H satisfies the partial Π -property in G if there exists a chief series ΓG:1=G0G such that for every G-chief factor Gi/Gi−1 (1≤i≤n) of ΓG, |G/Gi−1:NG/Gi−1(HGi−1/Gi−1∩Gi/Gi−1)| is a π(HGi−1/Gi−1∩Gi/Gi−1) -number. In this paper, we study the influence of some second minimal or second maximal subgroups of a Sylow subgroup satisfying the partial Π -property on the structure of a finite group. [ABSTRACT FROM AUTHOR]

Landing site selection is of fundamental importance for lunar landing mission and it is closely related to the scientific goals of the mission. According to the widely concerned lunar science goals and the landing site selection of the ongoing lunar missions; China has carried out the selection of landing site for a series of Chang' E (CE) missions. Under this background, this paper firstly introduced the principles, process, method and result of landing site selection of China's Lunar Exploration Program (CLEP), and then analyzed the support of the selected landing sites to the corresponding lunar research. This study also pointed out the outcomes that could possibly contribute to the key lunar questions on the basis of the selected landing sites of CE-4 and CE-5 such as deep material in South Pole-Aitken (SPA) basin, lunar chronology, volcanic thermodynamics and geological structure evolution history of the Moon. Finally, this approach analyzed the development trend of China's follow-up lunar landing missions, and suggested that the South Pole Region of the Moon could be the landing site of high priority for the future CE missions. [ABSTRACT FROM AUTHOR]

• A u-shaped residual network was proposed to rapidly and accurately recognize microstructure. • Tesseract-ocr and OpenCV were applied to obtain non-pixel-level digitized information on fine features such as grain boundary length and phase boundary length. • Based on the fine feature data, the relationships between mechanical properties and the fine microstructural features were established by using the random forest algorithm. Traditional metallographic characterization of steel microstructure can only roughly determine average grain size and phase fractions because it relies too much on researchers' personal experiences. As a result, when the microstructure-property relationships are to be established, only the rough microstructural features can be taken into accounts, which is usually incapable of grasping the correct strengthening and toughening mechanisms. To solve this long-existed problem, an integrated system with the microstructural perception by deep learning (DL) and prediction of mechanical properties by machine learning (ML) was developed, which can quickly and precisely recognize typical ferrite-pearlite microstructures in the most used hot rolled plain carbon steels and make the predictions of their mechanical properties. In the microstructural perception, a U-shaped residual network was proposed to implement deep learning of metallographic images to obtain digital information such as the size and distribution of grains and the lengths of grain and second phase boundaries. As compared to the conventional deep learning algorithm, the pixel accuracy (PA) and frequency weighted intersection over union (FWIoU) of predictions were improved by 2.84% and 5.27%, respectively. On this basis, the relationships between mechanical properties and the detailed microstructural features were established by using the random forest (RF) algorithm. Compared with the predictions by rough features of average grain size and phase fractions, the root mean square errors (RMSE) of the yield strength (YS), tensile strength (TS), and elongation (EL) based on the test data were reduced by 71.53%, 67.51% and 53.4%, respectively. By using the accurate perceptron for microstructure and properties, changes of strengths and elongations with processing parameters and chemical compositions were analyzed in good agreement with physical laws. Also, this perceptron can be extended to high strength steels with microstructures comprised of ferrite and bainite or complex phases if the data of metallographic images and properties are available. [ABSTRACT FROM AUTHOR]

Chang'E‐4, with the Yutu‐2 rover, is the first lunar probe to successfully land and conduct a tour on the far side of the Moon from early 2019. We analyze the physical and mechanical characteristics of lunar soil through the in situ terrain data collected by the panoramic camera onboard the Yutu‐2 rover. With the slip ratio and wheel sinkage obtained by the derived Digital Orthophoto Map (DOM) and Digital Elevation Model (DEM), the mechanical parameters of lunar soil are derived from the slip‐sinkage model. These mechanical parameters and wheel size of the rover are used to obtain the pressure‐sinkage curves, which can estimate the lunar soil strength. The experimental results indicate that the soil strength at the Chang'E‐4 landing site is much higher than that at the Chang'E‐3 landing site. The discrepancies in lunar soil strength between the two landing sites may be related to the local surface topography and degree of space weathering. Plain Language Summary: The knowledge of the physical and mechanical characteristics of lunar soil is of fundamental importance because it is the basis for mineral resource exploration and engineering activity aimed at the construction of lunar bases. The Chang'E‐4 landing site is within the mare floor of the Von Kármán crater inside the South Pole‐Aitken (SPA) basin. The ejecta from the nearby impact craters has covered the Chang'E‐4 landing area. Besides, the lunar soil of the Chang'E‐4 landing area has been relatively mature. Here, a method of analyzing the characteristics of lunar soil is introduced to provide an opportunity to understand the physical and mechanical properties of the mature lunar soil at the Chang'E‐4 landing site. With the terrain data collected by the panoramic camera onboard the Yutu‐2 rover, we can get the relationship curve of the interaction between the rover wheels and lunar soil, such as the pressure‐sinkage curve. The pressure‐sinkage curves can intuitively reflect the discrepancies of lunar soil strength at the Chang'E‐4 and Chang'E‐3 landing sites, which may bear a big relationship to the local surface morphology and degree of space weathering. Key Points: The slip ratio can be estimated by Digital Orthophoto Map and the wheel sinkage can be derived from Digital Elevation ModelThe pressure‐sinkage curves can intuitively reflect the discrepancies of lunar soil strength at different landing sitesThe lunar soil strength at the Chang'E‐4 landing site nearby is higher than that at the Chang'E‐3 landing site [ABSTRACT FROM AUTHOR]

From the non-local self-similarity (NSS)-based image denoising to the convolutional-network (ConvNet)-based image denoising, the denoising performance has been greatly improved. However, it is still not clear how to utilize similar web images to guide image denoising using ConvNet. This paper proposes a novel ConvNet for image denoising to explore both internal (NSS) and external correlations when external similar images are available. Since external similar images may be taken with different viewpoints, focal lengths, and may contain different objects, it is difficult to directly explore external correlations at image level using ConvNet. Therefore, we propose an internal and external patch matching ConvNet (IENet), whose inputs are similar patch cubes extracted from the noisy input and its external similar images. We design three different network structures, namely early-fusion, middle-fusion, and late-fusion of the internal and external cubes to fully combine the strengths of internal and external correlations. The experimental results demonstrate that the proposed method achieves the best denoising results compared with the seven state-of-the-art denoising methods. In specific, the proposed method outperforms the state-of-the-art web image guided denoising method by more than 1 dB on average, which further demonstrates the superiority of the proposed IENet-based filtering over the hand-crafted filtering methods. [ABSTRACT FROM AUTHOR]

Two natural rubber (NR) compounds of hardness shore A 60 and 70 with 10 different biaxial displacement/twist paths were investigated using an axisymmetric cylindrical hollow dumbbell specimen. The effects of the proportional and non‐proportional loading modes on the fatigue life are discussed. In total, 52 fatigue test results are reported with fatigue life results of 3,918 to 488,000 cycles. The effect of the channel phase on the fatigue life is discussed. [ABSTRACT FROM AUTHOR]

The permeability of shale is extremely low. Therefore, the shale reservoir needs fracturing. The fracture network by fracturing can increase the permeability in a stimulated shale reservoir. To understand the permeability evolution in the stimulated shale reservoir, this study measured the permeability of intact and fractured shale samples with different pore pressure and confining pressure by the transient pulse test. And the differences between the two kinds of samples in permeability were analyzed. The results show that permeability magnitude of fractured shale is increased by 5 orders compared to the intact shale. It means that fracture networks after fracturing can effectively improve the permeability. Besides, the change in matrix permeability is the result of the combined effect of slippage effect and matrix deformation. At low pore pressure, the influence of slippage effect is more significant. Based on the results, an improved exponential function was established to describe the relationship between permeability and effective stress of shale matrix. Moreover, the permeability of fractured shale is still bigger than that of the shale matrix when the confining pressure is larger than pore pressure. This paper provides theoretical guidance for studying the evolution of reservoir permeability before and after fracturing. [ABSTRACT FROM AUTHOR]

Convolutional Neural Networks (CNNs) are widely used in various fields, and have shown good performance in hyperspectral image (HSI) classification. Recently, utilizing deep networks to learn spatial-spectral features has become of great interest. However, excessively increasing the depth of network may result in overfitting. Moreover, in HSI classification, the existing network models ignore the strong complementary yet correlated spatial-spectral information among different hierarchical layers. In order to address these two problems, a novel CNN-based method for HSI classification is proposed. Firstly, it considers fusing the outputs of recurrent two layers in each large convolutional block and thereby using the fusion result as the input of next layer, which facilitates the extraction of discriminative features. Next, the spectral-spatial features are extracted by cascading spectral features to four-scale spatial features from shallow to deep layers. Finally, a 1 × 1 convolution layer is used to interact and integrate information across channels. Without increasing the number of training samples and the size of pixel patches at the training stage, the proposed approach achieves the state-of-the-art results in the experiment on three well-known hyperspectral images. [ABSTRACT FROM AUTHOR]

Hyperspectral image super-resolution addresses the problem of fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to produce a high-resolution hyperspectral image (HR-HSI). In this paper, we propose a novel fusion approach for hyperspectral image super-resolution by exploiting the specific properties of matrix decomposition, which consists of four main steps. First, an endmember extraction algorithm is used to extract an initial spectral matrix from LR-HSI. Then, with the initial spectral matrix, we estimate the spatial matrix, i.e., the spatial-contextual information, from the degraded observations of HR-HSI. Third, the spatial matrix is further utilized to estimate the spectral matrix from LR-HSI by solving a least squares (LS)-based problem. Finally, the target HR-HSI is constructed by combing the estimated spectral and spatial matrixes. In particular, two models are proposed to estimate the spatial matrix. One is a simple case that involves a LS-based problem, and the other is an elaborate case that consists of two fidelity terms and a spatial regularizer, where the spatial regularizer aiming to restrain the range of solutions is achieved by exploiting the superpixel-level low-rank characteristics of HR-HSI. Experiment results conducted on both synthetic and real data sets demonstrate the effectiveness of the proposed approach as compared to other hyperspectral image super-resolution methods. [ABSTRACT FROM AUTHOR]

Alkylbenzenes were aerobically oxidized to their oxygenated products via a novel catalytic system using N‐hydroxy‐1,6‐methano[10]annulene‐3,4‐dicarboximide (2) and cobalt(II) acetate under mild conditions. A radical mechanism has been proposed to account for the aerobic oxidation of these hydrocarbons. The 2/Co(OAc)2 catalytic system was optimized and the reaction scope was explored. [ABSTRACT FROM AUTHOR]

A subgroup H of a finite group G is called pronormal in G if for each g ∈ G , the subgroups H and H g are conjugate in 〈 H , H g 〉. In this paper, we analyze how certain properties of pronormal subgroups influence the structure of groups. [ABSTRACT FROM AUTHOR]

Background: Circular RNAs (circRNAs) have been proven to play important roles in tumorigenesis. However, the mechanism by which circRNAs act on gastric cancer (GC) through epithelial-to-mesenchymal transition (EMT) is unclear. In this study, we identified circ-OXCT1 and elucidated its function on EMT in GC. Methods: Tissue circRNA microarray analysis and qRT-PCR were utilized to determine the expression level of circ-OXCT1 in GC. Luciferase reporter assay and FISH were employed to confirm the interaction between circ-OXCT1 and miR-136. CCK-8, cloning formation, transwell, wound healing, nude mice experiment, circ-OXCT1 overexpression and silencing were conducted to elucidate the function of circ-OXCT1 in vivo and in vitro. Western blot and rescue experiment were carried out to evaluate the changes of EMT-related proteins induced by circ-OXCT1 overexpression or silencing. Results: Circ-OXCT1 was downregulated in GC tissues and cell lines. Its expression level was significantly associated with lymph node metastasis, pathologic stage and overall survival rate through clinicopathologic data analysis. Circ-OXCT1 silencing downregulated SMAD4 expression and accordingly regulated expression of E-cadherin, N-cadherin and vimentin through the transforming growth factor-beta (TGF-β)/Smad signaling pathway by a circ-OXCT1/miR-136/SMAD4 axis, resulting in enhancement of EMT and subsequent boost of cell migration, invasion and nude mice lung metastasis. Conclusion: Our data showed that circ-OXCT1 suppresses gastric cancer EMT and metastasis through TGF-β/Smad signaling pathway. The clinicopathologic data analysis revealed that circ-OXCT1 overexpression could be a novel treatment for advanced GC especially with distant metastasis by targeting the circ-OXCT1/miR-136/SMAD4 axis. [ABSTRACT FROM AUTHOR]

In this article, we propose a novel tensorial approach, namely, generalized tensor regression, for hyperspectral image classification. First, a simple and effective classifier, i.e., the ridge regression for multivariate labels, is extended to its tensorial version by taking advantages of tensorial representation. Then, the discrimination information of different modes is exploited to further strengthen the capacity of the model. Moreover, the model can be simplified and solved easily. Different from traditional tensorial methods, the proposed model can be utilized to capture not only the intrinsic structure of data in a physical sense but also the generalized relationship of data in a logical sense. Our proposed approach is shown to be effective for different classification purposes on a series of instantiations. Specifically, our experiment results with hyperspectral images collected by the airborne visible/infrared imaging spectrometer, the reflective optics spectrographic imaging system and the ITRES CASI-1500 demonstrate the effectiveness of the proposed approach as compared to other tensor-based classifiers and multiple kernel learning methods. [ABSTRACT FROM AUTHOR]

Terahertz time‐domain spectroscopy (THz‐TDS) was used to study the additive potassium aluminum sulfate dodecahydrate (PASD) in potato starch. The terahertz time‐domain and frequency domain spectra of potato starch potato starch and PASD were obtained. The absorption coefficient spectrum and refractive index spectrum of the above two substances is calculated. The absorption coefficient spectrum shows that potassium aluminum sulfate dodecahydrate has obvious characteristic absorption peak in terahertz band. THz‐TDS technique can be used to identify the characteristics of potassium aluminum sulfate dodecahydrate in starch. Terahertz time‐domain spectra of potato starch doped with different percentage (mass fraction) potassium aluminum sulfate dodecahydrate were obtained. It was found that with the increase of the content of PASD, the amplitude of the absorption peak decreased and the refractive index decreased gradually, which indicated that THz‐TDS technique could be used for qualitative identification and quantitative detection of PASD in potato starch. [ABSTRACT FROM AUTHOR]

Background: To study the effects of hypoxia and nutrition deficiency mimicking degenerated intervertebral disc on the biological behavior of human nucleus-derived pulposus mesenchymal stem cells (hNP-MSCs) and the role of PI3K/Akt pathway in the process in vitro. Methods: hP-MSCs were isolated from lumbar disc and were further identified by their immunophenotypes and multilineage differentiation. Then, cells were divided into the control group, hypoxia and nutrition deficiency group, the LY294002 group, and insulin-like growth factor 1 (IGF-1) group. Then cell apoptosis, the cell viability, the caspase 3 activity, and the expression of PI3K, Akt, and functional genes (aggrecan, collagen I, and collagen II) were evaluated. Result: Our work showed that isolated cells met the criteria of International Society for cellular Therapy. Therefore, cells obtained from degenerated nucleus pulposus were definitely hNP-MSCs. Our results showed that hypoxia and nutrition deficiency could significantly increase cell apoptosis, the caspase 3 activity, and inhibit cell viability. Gene expression results demonstrated that hypoxia and nutrition deficiency could increase the relative expression of PI3K and Akt gene and inhibit the expression of functional genes. However, when the PI3K/Akt pathway was inhibited by LY294002, the cell apoptosis and caspase 3 activity significantly increased while the cell viability was obviously inhibited. Quantitative real-time PCR results showed that the expression of functional genes was more significantly inhibited. Our study further verified that the above-mentioned biological activities of hNP-MSCs could be significantly improved by IGF1. Conclusions: PI3K/Akt signal pathway may have protective effects on human nucleus pulposus-derived mesenchymal stem cells against hypoxia and nutrition deficiency. [ABSTRACT FROM AUTHOR]