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Silver nanowires (AgNWs) are a promising substitute for indium tin oxide (ITO) transparent conductive films (TCFs). However, AgNWs suffer the insufficiencies in contact resistance between the nanowires and light loss. Here, graphene oxide and moth-eye-like antireflection nanostructure have been introduced to physically "weld" the AgNWs junctions and modulate the AR properties, respectively. The sandwich structure AgNWs TCFs achieved resistance of 26.26 Ω sq−1 and transmittance of 98.67%, exhibiting promoted photoelectronic performance compared with the pure AgNWs films. The stability of sandwich structure AgNWs TCFs was improved, and their wettability was also discussed with water contact angle changed from 92.55° to 69.18°, switched from hydrophobic to hydrophilic. Though a simple solution process without mechanical or heat post-treatment, we proposed a stable sandwich structure to obviously improve the electrical and optical capabilities of AgNWs. The enhanced AgNWs TCFs with superior photoelectronic performance are believed to boost the practical applications and future development of AgNWs-based TCFs. [ABSTRACT FROM AUTHOR]

Sign language recognition and translation can address the communication problem between hearing-impaired and general population, and can break the sign language boundariesy between different countries and different languages. Traditional sign language recognition and translation algorithms use Convolutional Neural Networks (CNNs) to extract spatial features and Recurrent Neural Networks (RNNs) to extract temporal features. However, these methods cannot model the complex spatiotemporal features of sign language. Moreover, RNN and its variant algorithms find it difficult to learn long-term dependencies. This paper proposes a novel and effective network based on Transformer and Graph Convolutional Network (GCN), which can be divided into three parts: a multi-view spatiotemporal embedding network (MSTEN), a continuous sign language recognition network (CSLRN), and a sign language translation network (SLTN). MSTEN can extract the spatiotemporal features of RGB data and skeleton data. CSLRN can recognize sign language glosses and obtain intermediate features from multi-view input sign data. SLTN can translate intermediate features into spoken sentences. The entire network was designed as end-to-end. Our method was tested on three public sign language datasets (SLR-100, RWTH, and CSL-daily) and the results demonstrated that our method achieved excellent performance on these datasets. [ABSTRACT FROM AUTHOR]

With a quark level interaction, we give a unified description of the loosely bound molecular systems composed of the heavy flavor hadrons (D ¯ , D ¯ ∗) , (Λ c , Σ c , Σ c ∗) , and (Ξ c , Ξ c ′ , Ξ c ∗) . Using the P c states as inputs to fix the interaction strength of light quark-quark pairs, we reproduce the observed P cs and T cc + states and predict another narrow T cc ′ + state with quantum numbers [ D ∗ D ∗ ] J = 1 I = 0 . If we require a satisfactory description of the T cc + and P c states simultaneously, our framework prefers the assignments of the P c (4440) and P c (4457) as the [ Σ c D ¯ ∗ ] J = 1 / 2 I = 1 / 2 and [ Σ c D ¯ ∗ ] J = 3 / 2 I = 1 / 2 states, respectively. We propose the isospin criterion to explain naturally why the experimentally observed T cc , P c , and P cs molecular candidates prefer the lowest isospin numbers. We also predict the loosely bound states for the bottom di-hadrons. [ABSTRACT FROM AUTHOR]

To extract strong correlations between different energy loads and improve the interpretability and accuracy for load forecasting of a regional integrated energy system (RIES), an explainable framework for load forecasting of an RIES is proposed. This includes the load forecasting model of RIES and its interpretation. A coupled feature extracting strategy is adopted to construct coupled features between loads as the input variables of the model. It is designed based on multi-task learning (MTL) with a long short-term memory (LSTM) model as the sharing layer. Based on SHapley Additive exPlanations (SHAP), this explainable framework combines global and local interpretations to improve the interpretability of load forecasting of the RIES. In addition, an input variable selection strategy based on the global SHAP value is proposed to select input feature variables of the model. A case study is given to verify the effectiveness of the proposed model, constructed coupled features, and input variable selection strategy. The results show that the explainable framework intuitively improves the interpretability of the prediction model. [ABSTRACT FROM AUTHOR]

Intrahepatic cholangiocarcinoma (iCCA) is a highly heterogeneous cancer with limited understanding of its classification and tumor microenvironment. Here, by performing single-cell RNA sequencing on 144,878 cells from 14 pairs of iCCA tumors and non-tumor liver tissues, we find that S100P and SPP1 are two markers for iCCA perihilar large duct type (iCCAphl) and peripheral small duct type (iCCApps). S100P + SPP1− iCCAphl has significantly reduced levels of infiltrating CD4+ T cells, CD56+ NK cells, and increased CCL18+ macrophages and PD1+CD8+ T cells compared to S100P-SPP1 + iCCApps. The transcription factor CREB3L1 is identified to regulate the S100P expression and promote tumor cell invasion. S100P-SPP1 + iCCApps has significantly more SPP1+ macrophage infiltration, less aggressiveness and better survival than S100P + SPP1− iCCAphl. Moreover, S100P-SPP1 + iCCApps harbors tumor cells at different status of differentiation, such as ALB + hepatocyte differentiation and ID3+ stemness. Our study extends the understanding of the diversity of tumor cells in iCCA. The molecular classification and tumour microenvironment in intrahepatic cholangiocarcinoma (iCCA) need further characterisation. Here, the authors perform single cell RNA-sequencing from 14 pairs of iCCA tumours and non-tumour liver tissues and propose S100P and SPP1 as markers for patient classification. [ABSTRACT FROM AUTHOR]

We propose an alternative approach to Lüscher's formula for extracting two-body scattering phase shifts from finite volume spectra with no reliance on the partial wave expansion. We use an effective-field-theory-based Hamiltonian method in the plane wave basis and decompose the corresponding matrix elements of operators into irreducible representations of the relevant point groups. The proposed approach allows one to benefit from the knowledge of the long-range interaction and avoids complications from partial wave mixing in a finite volume. We consider spin-singlet channels in the two-nucleon system and pion-pion scattering in the ρ-meson channel in the rest and moving frames to illustrate the method for non-relativistic and relativistic systems, respectively. For the two-nucleon system, the long-range interaction due to the one-pion exchange is found to make the single-channel Lüscher formula unreliable at the physical pion mass. For S-wave dominated states, the single-channel Lüscher method suffers from significant finite-volume artifacts for a L = 3 fm box, but it works well for boxes with L > 5 fm. However, for P-wave dominated states, significant partial wave mixing effects prevent the application of the single-channel Lüscher formula regardless of the box size (except for the near-threshold region). Using a toy model to generate synthetic data for finite-volume energies, we show that our effective-field-theory-based approach in the plane wave basis is capable of a reliable extraction of the phase shifts. For pion-pion scattering, we employ a phenomenological model to fit lattice QCD results at the physical pion mass. The extracted P-wave phase shifts are found to be in a good agreement with the experimental results. [ABSTRACT FROM AUTHOR]

Kidney cancer is the third most common malignancy of the urinary system, of which, kidney renal clear cell carcinoma (KIRC) accounts for the vast majority. Runt-related transcription factors (RUNX) are involved in multiple cellular functions. However, the diverse expression patterns and prognostic values of RUNX genes in kidney cancer remained to be elucidated. In our study, we mined the DNA methylation, transcriptional and survival data of RUNX genes in patients with different kinds of kidney cancer through Oncomine, Gene Expression Profiling Interactive Analysis, UALCAN, Kaplan–Meier Plotter, cBioPortal and LinkedOmics. We found that RUNX1 and RUNX3 were upregulated in KIRC tissues compared with those in normal tissues. The survival analysis results indicated a high transcription level of RUNX1 was associated with poor overall survival (OS) in KIRC patients. Furthermore, KIRC tumor tissues had significantly lower levels of RUNX1 promoter methylation than that in paracancerous tissues, with decreased DNA methylation of RUNX1 notably associated with poor OS in KIRC. In conclusion, our results revealed that RUNX1 may be a potential therapeutic target for treating KIRC, and RUNX1 promoter methylation level shows promise as a novel diagnostic and prognostic biomarker, which laid a foundation for further study. [ABSTRACT FROM AUTHOR]

Diverse immune cells in the tumor microenvironment form a complex ecosystem, but our knowledge of their heterogeneity and dynamics within hepatocellular carcinoma (HCC) still remains limited. To assess the plasticity and phenotypes of immune cells within HBV/HCV-related HCC microenvironment at single-cell level, we performed single-cell RNA sequencing on 41,698 immune cells from seven pairs of HBV/HCV-related HCC tumors and non-tumor liver tissues. We combined bio-informatic analyses, flow cytometry, and multiplex immunohistochemistry to assess the heterogeneity of different immune cell subsets in functional characteristics, transcriptional regulation, phenotypic switching, and interactions. We identified 29 immune cell subsets of myeloid cells, NK cells, and lymphocytes with unique transcriptomic profiles in HCC. A highly complex immunological network was shaped by diverse immune cell subsets that can transit among different states and mutually interact. Notably, we identified a subset of M2 macrophage with high expression of CCL18 and transcription factor CREM that was enriched in advanced HCC patients, and potentially participated in tumor progression. We also detected a new subset of activated CD8+ T cells highly expressing XCL1 that correlated with better patient survival rates. Meanwhile, distinct transcriptomic signatures, cytotoxic phenotypes, and evolution trajectory of effector CD8+ T cells from early-stage to advanced HCC were also identified. Our study provides insight into the immune microenvironment in HBV/HCV-related HCC and highlights novel macrophage and T-cell subsets that could be further exploited in future immunotherapy. [ABSTRACT FROM AUTHOR]

Air density strongly constrains the characteristics of an airflow and the resulting flow of sand and therefore, it should not be neglected in sand transport models. Although the potential importance of air density is well known, most studies on threshold velocity, saltation trajectory, and dust emission have been conducted near sea level, at a "normal" atmospheric density. In this study, utilizing the observational data from 12 meteorological stations in the Tarim Basin (TB) from 2009 to 2018, we used air density as the basis to discuss the necessity of model parameter localization. It was found that there was a significant difference in the horizontal dust flux estimated using the normal and local air densities. Using the localized air density, we re-evaluated the temporal and spatial distribution characteristics of the threshold velocity, horizontal dust flux, and wind erosion events in the TB and further quantified their distributions in all directions. The results demonstrated that the threshold velocity gradually increased from east to west and from north to south, with the maximum value occurring in the southwestern TB. The horizontal dust fluxes and wind erosion events could be classified into three types according to the seasonal variation characteristics; however, one of the main distribution characteristics was spring > summer > autumn > winter. Tazhong, Qiemo, and Ruoqiang are sand- and dust-incident frequent zones. Taking Minfeng when passing from Tazhong to Shaya as the line of demarcation, it was found that the horizontal dust fluxes and wind erosion events in the eastern region mostly occurred in the eastern direction, whereas those in the western region primarily occurred in the western direction. The results suggested that it was extremely important and necessary to localize the parameters in sand–dust models, which would also provide a more accurate climate background for the study of sand and dust in the TB. [ABSTRACT FROM AUTHOR]

Over the hinterland of the Taklimakan Desert (TD), the diurnal and seasonal cycles of the air temperature (AT) and horizontal sand-dust flux (HSDF) were investigated, based on in situ data including sand saltation counts and meteorological parameters in the period 2008–2010. In particular, the relationship between AT and HSDF was determined. It was found that 74.7% of HSDF was observed between 10:00 and 20:00, and HSDF in spring and summer accounted for 92.3% of the annual flux. Further, the diurnal and annual cycles of HSDF and AT presented an exponential distribution, with correlation coefficients (R) of 0.97 and 0.93, respectively. Additionally, when AT was 0 °C or lower, the frequency of sand saltation was only 4.3%. The maximum sand saltation frequency was 70.1%, which occurred at 33–34 °C, while 67.6% of the total HSDF occurred at 24–34 °C. Finally, a Gauss equation was established over the TD: Q = 250.2 + 1368.5e−2 × [(T−30.8)/7.3]^2, with R = 0.90. Results revealed a strong correlation between HSDF and AT, indicating that AT should be noticeable in HSDF parameterization schemes. [ABSTRACT FROM AUTHOR]

We have developed a facile one-step hydrothermal strategy to synthesize pyramid-like NiSe2 nanostructures, serving as electrode materials for battery-supercapacitor hybrid (BSH) devices. The NiSe2 nanopyramid electrode exhibits superior electrochemical performances, including a high specific capacity of 240.83 mAh g−1 at current density of 1 A g−1 and a low internal resistance of 0.85 Ω. The all-solid-state hybrid devices have been assembled with NiSe2 as the battery-type electrode and activated carbon as the capacitor-type electrode. The hybrid device exhibits a high energy density of 0.196 mWh cm−2 at power density of 1.60 mW cm−2. The internal resistance of 1.52 Ω further reveals the nature of low resistance and high conductivity for the hybrid devices. Connecting two hybrid devices in series is able to drive a red LED for more than 3 min after charging for 9 s. This work has demonstrated that the pyramid-like NiSe2 nanostructure is expected to be an ideal high specific capacity electrode for BSH devices, especially for all-solid-state energy storage devices and portable electronic devices. [ABSTRACT FROM AUTHOR]

Many aerial applications require unmanned aerial systems operate in safe zones because of the presence of obstacles or security regulations. It is a non-trivial task to generate a smooth trajectory satisfying both dynamic constraints and motion limits of the unmanned vehicles while being inside the safe zones. Then the task becomes even more challenging for real-time applications, for which computational efficiency is crucial. In this study, we present a safe flying corridor navigation method, which combines jerk limited trajectories with an efficient testing method to update the position setpoints in real time. Trajectories are generated online and incrementally with a cycle time smaller than 10 μs, which is exceptionally suitable for vehicles with limited onboard computational capability. Safe zones are represented with multiple interconnected bounding boxes which can be arbitrarily oriented. The jerk limited trajectory generation algorithm has been extended to cover the cases with asymmetrical motion limits. The proposed method has been successfully tested and verified in flight simulations and actual experiments. [ABSTRACT FROM AUTHOR]

Toward the fast development of portable devices, the lightweight, flexible, and even wearable energy storage devices are very required. One effective device is the graphene-based fiber supercapacitors. Here we present the core–shell Co3O4/graphene hybrid fibers by hydrothermal method for the first time, where Co3O4 directly grows on the surface of graphene forming excellent hierarchical nanostructures. The combination of the Co3O4 shell and graphene core evidently improves the capacitive behaviors of the hybrid fibers. The Co3O4/graphene hybrid fibers are lightweight, flexible, and wearable, showing ultrahigh electrochemical performances such as large specific capacitance of 236.8 F g−1 (196.3 mF cm−2) at current density of 0.2 A g−1, outstanding rate capability, and excellent cycling stability (72.7% retention after 10000 cycles). The high electrochemical performances reveal the great potential of core–shell Co3O4/graphene hybrid fibers as electrodes in the energy storage system. [ABSTRACT FROM AUTHOR]

In this work, we investigate the chiral corrections to the magnetic moments of the spin- $$3\over 2$$ doubly charmed baryons systematically up to next-to-next-to-leading order with the heavy baryon chiral perturbation theory. The numerical results are given up to next-to-leading order: $$\mu _{\varXi ^{*++}_{cc}}=2.61\mu _{N}$$ , $$\mu _{\varXi ^{*+}_{cc}}=-0.18\mu _{N}$$ , $$\mu _{\varOmega ^{*+}_{cc}}=0.17\mu _{N}$$ . As a by-product, we have also calculated the magnetic moments of the spin- $$3\over 2$$ doubly bottom baryons and charmed bottom baryons: $$\mu _{\varXi ^{*0}_{bb}}=2.83\mu _{N}$$ , $$\mu _{\varXi ^{*-}_{bb}}=-1.33\mu _{N}$$ , $$\mu _{\varOmega ^{*-}_{bb}}=-1.54\mu _{N}$$ , $$\mu _{\varXi ^{*+}_{bc}}=3.22\mu _{N}$$ , $$\mu _{\varXi ^{*0}_{bc}}=-0.84\mu _{N}$$ , $$\mu _{\varOmega ^{*0}_{bc}}=-1.09\mu _{N}$$ . [ABSTRACT FROM AUTHOR]