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In recent years, the combination of deep learning and side-channel analysis has received extensive attention. Previous research has shown that the key recovery problem can be transformed into a classification problem. The performance of these models strongly depends on the size of the dataset and the number of instances in each target class. The training time is very long. In this paper, the key recovery problem is transformed into a similarity measurement problem in Siamese neural networks. We use simulated power traces and true power traces to form power pairs to augment data and simplify key recovery steps. The trace pairs are selected based on labels and added to the training to improve model performance. The model adopts a Siamese, CNN-based architecture, and it can evaluate the similarity between the inputs. The correct key is revealed by the similarity of different trace pairs. In experiments, three datasets are used to evaluate our method. The results show that the proposed method can be successfully trained with 1000 power traces and has excellent attack efficiency and training speed. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the rate of adverse events (AEs) caused by intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications retrospectively and to explore practical measures for prevention and treatment of them. Materials and methods: This study enrolled 83,778 contrast-enhanced ultrasound (CEUS) examinations using sulfur hexafluoride microbubbles intravenously performed during 11 years. Age, gender, and target organs of all CEUS patients were recorded. For cases of AEs, their medical history and laboratory results were also collected. The process of AEs was assessed and categorized. Besides, the management of AEs were recorded. Results: Twenty patients had sulfur hexafluoride microbubbles-related AEs. The AE rate was 0.024%. No significant difference was observed between patients with AEs and the whole group for age and sex distribution. All AEs happened in liver examinations. Among them, 7 (35%) were mild, 8 (40%) were moderate, and 5 (25%) were severe. They were categorized into 15 allergic-like reactions and 5 physiologic reactions. The manifestations of mild and moderate AEs mainly include urticaria, chills, and mild hypoxia, which could be eased by simple management. Severe cases had anaphylactic shock, generalized convulsions, and diffuse erythema with hypotension respectively. They need close monitoring and oxygen inhalation with anti-shock and anti-anaphylactic treatment. Most cases started within 30 min and recovered within 1 day. Conclusions: Intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications was safe with rare AEs. AEs were more likely to happen in abdominal applications than superficial ones. A well-designed emergency plan should be available for clinical use of sulfur hexafluoride microbubbles to reduce AEs and to deal with AEs properly. Critical relevance statement: Intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications reported few AEs and could be considered safe but severe AEs are life-threatening. We analyzed the influence factors of AEs and propose some methods for prevention and treatment of them, which can further improve the safety of sulfur hexafluoride microbubbles in clinical practice. Key points: • The AE rate of sulfur hexafluoride microbubbles in abdominal and superficial applications was 0.024%. • Patients were more likely to have AEs in abdominal applications than superficial ones. • Severe AEs are life-threatening and need prompt identification and treatment. • We summarized some detailed suggestions for clinical prevention and treatment of AEs. [ABSTRACT FROM AUTHOR]

The goal when imaging bioprocesses with optical microscopy is to acquire the most spatiotemporal information with the least invasiveness. Deep neural networks have substantially improved optical microscopy, including image super-resolution and restoration, but still have substantial potential for artifacts. In this study, we developed rationalized deep learning (rDL) for structured illumination microscopy and lattice light sheet microscopy (LLSM) by incorporating prior knowledge of illumination patterns and, thereby, rationally guiding the network to denoise raw images. Here we demonstrate that rDL structured illumination microscopy eliminates spectral bias-induced resolution degradation and reduces model uncertainty by five-fold, improving the super-resolution information by more than ten-fold over other computational approaches. Moreover, rDL applied to LLSM enables self-supervised training by using the spatial or temporal continuity of noisy data itself, yielding results similar to those of supervised methods. We demonstrate the utility of rDL by imaging the rapid kinetics of motile cilia, nucleolar protein condensation during light-sensitive mitosis and long-term interactions between membranous and membrane-less organelles. Rationalized deep learning improves image reconstruction by incorporating prior knowledge of illumination patterns. [ABSTRACT FROM AUTHOR]

A low-complexity stochastic dynamic element matching (DEM) technique to mitigate the distortions caused by the nonlinearity of multi-bit digital-to-analog converters (DACs) in sigma-delta modulator is proposed. Multi-bit DAC noise is analyzed in detail from a signal processing point-of-view in this research, and then implementation of the basic stochastic unit named swapper cell which includes bar state and cross state controlled by a 1-bit pseudo-random noise signal, is illustrated. To reduce the hardware complexity, a multi-layer scheme for multi-input multi-output stochastic encoder is presented and demonstrated based on rigorous mathematical derivation. For a n-input n-output version, the number of the switch elements employed in the proposed encoder is reduced to 2nlog2n from the conventional n!. Simulation results show that, with the use of the stochastic encoder, severe harmonic distortions resulted by the DAC elements mismatch errors are suppressed effectively. When the proposed encoders are applied to the internal multi-bit DACs in sigma-delta (ΣΔ) modulators, large improvements of the linearity performance of the modulators are achieved. Additionally, the analyses and explanations for this stochastic scheme provide a theoretical foundation for the future development of noise shaping DEM. [ABSTRACT FROM AUTHOR]

The ERA-Interim (1979–2016) and National Center for Environmental Prediction (NCEP) (1958–2016) reanalysis data are applied in an empirical orthogonal function (EOF) decomposition of the summer zonal wind anomaly in the upper troposphere (at 200 hPa) over Asia. Consistent spatio-temporal modes are derived from the two datasets on different time scales, with the first three dominant modes representing the principal features of the summer Asian subtropical westerly jet (ASWJ). The first and third modes respectively describe the meridional position deviation and the overall strength variations of ASWJ, and both exhibit zonally symmetric distributions, which have been extensively investigated. The second mode describes a zonally asymmetric distribution of the jet over Asia, which reflects coordinated variations in the upstream and downstream systems and has not yet been systematically studied. In this study, we focus on the analysis of the second mode of ASWJ. The observation results show that the second mode is closely related to external forcing factors as well as the large-scale circulation at mid-high latitudes. Through the interaction of the preceding North Atlantic sea surface temperature (SST), the simultaneous soil moisture, and the atmospheric circulation that propagates zonally via the waveguide effect of the jet, the ocean–land–atmosphere coupled system can produce coordinating impacts on the variability of ASWJ. These results aid in a more complete and comprehensive understanding of the physical characteristics of the summer westerly jet and provide a new perspective for the study of the variability of ASWJ. [ABSTRACT FROM AUTHOR]

For modern equipment manufacturing industries, advanced manufacturing technologies have significant impact on the production quality and efficiency. Specifically, high-speed and high-accuracy technology is widely used in aerospace, automotive, and power-generation equipment to reduce the processing costs and improve the machining accuracy. However, the traditional velocity planning methods cannot satisfy the requirements of advanced equipment in point-to-point movement occasions. To solve these problems, a novel S-curve acceleration and deceleration (Acc/Dec) control model is proposed in this study, and the discretization of the Acc/Dec process was investigated. Furthermore, the derivation of the actual interpolation periods of each segment, actual achieved Acc/Dec, and actual achieved jerk of Acc/Dec zone are addressed in detail. To ensure the positioning accuracy and reduce the computational load, discrete formulae for the deceleration displacement, maximal achieved speed, and displacement of the constant acceleration segment are derived. To satisfy the product diversification and improve the efficiency, the function of the aforementioned S-curve Acc/Dec control algorithm was extended in this study. As a result, the end-point modification and target speed modification algorithms were developed. Finally, a series of numerical simulations and a real experiment were conducted. The results show that the proposed algorithms exhibit a good performance both in terms of reliability and efficiency. Thus, its feasibility was validated. [ABSTRACT FROM AUTHOR]

The concept of open architectures has been discussed extensively for many years. Software-oriented Computer Numerical Control (soft-CNC) is considered as one of the ideal solutions for open architecture CNC (OACNC). In recent years, this has become the mainstream direction for open CNC systems by employing a personal computer (PC) as the hardware platform and a real-time operating system as the software platform. However, existing CNC systems are limited in expansibility, portability, modularity, networking, and openness. In order to overcome these problems and in accordance with the characteristics and requirements of an OACNC system, a novel numerical control kernel (NCK) based on the real-time extension (RTX) and an industrial personal computer (IPC) is proposed. The implementation of the NCK is a difficult task, especially when real-time performance is desired. To compensate for the lack of real-time features in Windows NT, RTX provides a real-time software environment to implement the time-critical operations of a CNC system on an IPC by modifying the hardware abstraction layer (HAL). The proposed soft-CNC system consists of four components: the human machine interface (HMI), shared memory, the real-time subsystem (RTSS), and the device layer. This work first presents the hierarchical system architecture for developing an open architecture soft-CNC system and then describes the choices for the hardware and software platform of the soft-CNC system. Furthermore, this paper focuses on the software design and implementation of the soft-CNC system; thus, the software tasks, data flow, and the communication mechanisms are studied in detail. Finally, experiments are conducted to validate the real-time performance, the schedulability and the functions of the proposed soft-CNC system, thus verifying its feasibility. [ABSTRACT FROM AUTHOR]

Surface defect inspection is an important part of quality control in mobile phone cover glass manufacturing. The traditional method is usually carried out manually by experienced inspectors and thus lacks sufficient efficiency and accuracy. In this paper, an automatic defect inspection system based on the principal components analysis is proposed for five typical cover glass defects: scratch, crack, deformation, edge broken, and angle cutting. This inspection system is robust for the defect shapes and obtains high recognition accuracy. The inspection system includes three parts: pre-processing, PCA-based defect recognition, and defect edge extraction. After pre-processing, most of noise and outliers are eliminated and the pixels of defects in the image are well enhanced for inspection and recognition. The eigen-defect matrix is constructed to characterize the variation between defect images. Additionally, time consumption in constructing the eigen-defect matrix is also discussed. The experimental results show that the inspection system has achieved high accuracy for inspection and recognition. [ABSTRACT FROM AUTHOR]

In today's dynamic and competitive business environment, it is critical for firms to share information selectively and develop organizational resilience. However, only a few existing studies examine the relationships between information management and supply chain resilience. Aiming to bridge the gaps between both domains, we propose a model encompassing information security culture, information leakage, information sharing effectiveness and supply chain resilience and to derive insights from their inter-relationships in this research. A cross-sectional survey of the multi-national corporations and small and medium enterprises among their senior managers in the United Kingdom was carried out for data collection. The data set was analysed using a structural equation modelling approach. The results obtained validate the proposed model. The findings ascertain that information security culture and information leakage are negatively correlated, which influence the supply chain resilience. Specifically, information security and information leakage affect the effectiveness of information sharing, which in turn positively and negatively influence the supply chain resilience, respectively. This study posits that information security culture is instrumental to mitigate information leakage and foster effective information sharing to strengthen supply chain resilience. [ABSTRACT FROM AUTHOR]

The original version of this article unfortunately contained a mistake. [ABSTRACT FROM AUTHOR]

Purpose: Empty follicle syndrome (EFS) is a complex reproductive disorder characterized by the repeated failure to aspirate oocytes from mature ovarian follicles during in vitro fertilization (IVF). In addition to some cases caused by iatrogenic problems and known genetic factors, there are still many unexplained aspects of EFS. Here, we aimed to assess the clinical and genetic characteristics of two EFS patients. Methods: We have characterized two primary infertility patients with EFS in a nonconsanguineous family from China. Both the patients presented similar clinical phenotypes, that is a few granulosa cells but no oocytes could be retrieved during repeated cycles with normal follicular development, E2 levels, and bioavailable hCG plasma levels. Abnormal oocytes were obtained once or twice between multiple IVF cycles. We performed Sanger sequencing of the LHCGR and ZP1~ZP4 genes in the patients, and further bioinformatics analysis was performed to identify pathogenic elements in the genes. Results: A novel mutation, c.181C>T (p.Arg61Cys), and a known mutation, c.1169_1176delTTTTCCCA (p.Ile390Thrfs*16), in the ZP1 gene were both identified in patient 2, but no mutations were identified in patient 1. The novel mutation inherited from her mother was absent in the control cohort and the ExAc database. The arginine residue is conserved at this position, and its replacement by cysteine was predicted to be deleterious. In another allele, a paternal frameshift mutation was predicted to introduce premature stop codons, resulting in the deletion of 234 amino acids from the C-terminus of the ZP1 protein. Conclusions: Our findings presented compound heterozygous mutations in ZP1 associated with EFS and abnormal oocytes and provided further new evidence for the genetic basis of EFS and support for the genetic diagnosis of infertile individuals. [ABSTRACT FROM AUTHOR]

In this work, a high-performance composite photocatalyst composed of WO3 nanosheets and Bi24O31Br10 nanosheets was successfully synthesized. The photocatalytic activity of the obtained samples was studied by the degradation of tetracycline hydrochloride under visible light irradiation. The results showed that Bi24O31Br10 modified with the appropriate amount of WO3 nanosheet exhibits higher catalytic activity and stability during the photocatalytic processes, and the holes (h+) is involved in the photolysis reaction as the main active species. The crystallization, morphology, optical and electrochemical properties of the as-prepared composite photocatalyst were characterized, and the mechanism of high photocatalytic activity was also explored. The optimal sample (10%-WO3/Bi24O31Br10) exhibited the best performance for tetracycline hydrochloride (TC) degradation, and more than 80% of the TC was degraded after 60 min under light irradiation. The degradation rate constant k was about 3.34-fold and 1.54-fold higher than pure WO3 and Bi24O31Br10, respectively. Its high photocatalytic performance can be attributed to the following reasons: the appropriate conduction band and valence band positions between WO3 and Bi24O31Br10, the close contact between the two visible light-driven photocatalysts, and the effective separation of the spatial charge. Our work may help to further expand the potential application of oxygen-rich bismuth oxyhalides photocatalyst in wastewater treatment, and provide a new strategy for the modification of nanostructured photocatalysts. [ABSTRACT FROM AUTHOR]

The potential role of DNA methylation from paracancerous tissues in cancer diagnosis has not been explored until now. In this study, we built classification models using well-known machine learning models based on DNA methylation profiles of paracancerous tissues. We evaluated our methods on nine cancer datasets collected from The Cancer Genome Atlas (TCGA) and utilized fivefold cross-validation to assess the performance of models. Additionally, we performed gene ontology (GO) enrichment analysis on the basis of the significant CpG sites selected by feature importance scores of XGBoost model, aiming to identify biological pathways involved in cancer progression. We also exploited the XGBoost algorithm to classify cancer types using DNA methylation profiles of paracancerous tissues in external validation datasets. Comparative experiments suggested that XGBoost achieved better predictive performance than the other four machine learning methods in predicting cancer stage. GO enrichment analysis revealed key pathways involved, highlighting the importance of paracancerous tissues in cancer progression. Furthermore, XGBoost model can accurately classify nine different cancers from TCGA, and the feature sets selected by XGBoost can also effectively predict seven cancer types on independent GEO datasets. This study provided new insights into cancer diagnosis from an epigenetic perspective and may facilitate the development of personalized diagnosis and treatment strategies. [ABSTRACT FROM AUTHOR]

Stimulator of interferon genes (STING) activation induces type I interferons and pro-inflammatory cytokines which stimulate tumor antigen cross presentation and the adaptive immune responses against tumor. The first-generation of STING agonists, cyclic di-nucleotide (CDN), mimicked the endogenous STING ligand cyclic guanosine monophosphate adenosine monophosphate, and displayed limited clinical efficacy. Here we report the discovery of SHR1032, a novel small molecule non-CDN STING agonist. Compared to the clinical CDN STING agonist ADU-S100, SHR1032 has much higher activity in human cells with different STING haplotypes and robustly induces interferon β (IFNβ) production. When dosed intratumorally, SHR1032 induced strong anti-tumor effects in the MC38 murine syngeneic tumor model. Pharmacodynamic studies showed induction of IFNβ, tumor necrosis factor α (TNFα) and interleukin-6 (IL-6) in the tumors and, to a lower extent, in the plasma. More importantly, we found SHR1032 directly causes cell death in acute myeloid leukemia (AML) cells. In conclusion, our findings demonstrate that in addition to their established ability to boost anti-tumor immune responses, STING agonists can directly eradicate AML cells, and SHR1032 may present a new and promising therapeutic agent for cancer patients. [ABSTRACT FROM AUTHOR]

Biomass-based protic ionic liquids (BILs), green solvents with inherent properties, have the potential as precursors of functionalized catalytic carbon materials. Simple one-step design and preparation of BILs-based porous carbon-based materials remains a challenge. Our demonstration here was to use BIL as an important precursor for synthesizing porous carbon-coated CoP nanocrystals by facile one-pot carbonization process. The as-prepared CoP@NPC-900 has a specific surface area of 979.67 m2 g−1 without activator and simultaneously exhibits excellent hydrogen evolution reaction (HER) performance with a low overpotential of 181 mV at 10 mA cm−2 and small Tafel slope of 59 mV dec−1 in acid solution. In addition, density functional theory (DFT) calculations indicate lower adsorption free energy and rapid electron transfer between CoP nanocrystals and N, P co-doped porous carbon (NPC) are key factors of improving the HER performance. Our research opens up a new use of BILs, as well as provides a facile strategy to promote practical application of transition metal phosphides for HER. [ABSTRACT FROM AUTHOR]

Stray grains, the most serious casting defect, mainly occur in the platform because of the abrupt transition of the cross-section in the directional solidification of superalloy single-crystal blades. A new mould baffle technology based on 3D printing and gelcasting is proposed herein to reduce the formation of stray grains in the platform. The influence of the proposed mould baffle technology on the temperature field in the platform during solidification was investigated by simulation and experiment. The numerical simulation results indicate that the proposed mould baffle technology can effectively hinder the radiation and heat dissipation at the platform extremities, and therefore, reduce undercooling in the platform and the formation of stray grains during directional solidification. Casting trials of a hollow turbine blade were conducted using CMSX-4 superalloy. The trial results demonstrate the potential of the proposed approach for manufacturing single-crystal superalloy blades. [ABSTRACT FROM AUTHOR]

Clinical success of IL-17/IL-23 pathway biologics for the treatment of moderate to severe psoriasis suggests that targeting RORγt, a master regulator for the proliferation and function of Th17 cells, could be an effective alternative. However, oral RORγ antagonists (VTP43742, TAK828) with high systemic exposure showed toxicity in phase I/II clinical trials and terminated development. To alleviate the potential safety concerns, identifying compounds with skin-restricted exposure amenable for topical use is of great interest. Systematic structure activity relationship study and multi-parameter optimization led to the discovery of a novel RORγ antagonist (SHR168442) with desired properties for a topical drug. It suppressed the transcription of IL-17 gene, leading to reduction of IL-17 cytokine secretion. It showed high exposure in skin, but low in plasma. Topical application of SHR168442 in Vaseline exhibited excellent efficacy in the imiquimod-induced and IL-23-induced psoriasis-like skin inflammation mouse models and correlated with the reduction of Th17 pathway cytokines, IL-6, TNFα and IL-17A. This work demonstrated restricted skin exposure of RORγ antagonist may provide a new topical treatment option as targeted therapeutics for mild to moderate psoriasis patients and may be suitable for the treatment of any other inflammatory disorders that are accessible locally. [ABSTRACT FROM AUTHOR]

The aerodynamic unstable critical wind velocity for three-dimensional open cable-membrane structures is investigated. The geometric nonlinearity is introduced into the dynamic equilibrium equations of structures. The disturbances on the structural surface caused by the air flow are simulated by a vortex layer with infinite thickness in the structures. The unsteady Bernoulli equation and the circulation theorem are applied in order to express the aerodynamic pressure as the function of the vortex density. The vortex density is then obtained with the vortex lattice method considering the coupling boundary condition. From the analytical expressions of the unstable critical wind velocities, numerical results and some useful conclusions are obtained. It is found that the initial curvature of open cable-membrane structures has clear influence on the critical wind velocities of the structures. [ABSTRACT FROM AUTHOR]

Industry 4.0 has been proposed to address personalized consumption demands by building cyber-physical production systems for smart manufacturing. Although cloud manufacturing and some integrated frameworks for smart factory have been presented in literatures, it still lacks industrial applications. In this paper, we use personalized candy packing application as a demonstration to illustrate our smart factory design. We first describe the component layers of the smart factory, i.e., physical devices, private cloud, client terminals, and network, to enable the smart factory to be integrated with other systems, such as banks and logistical network, to cope with personalized consumption demands. Then, we present a scheme for inter-layered interaction. As for the physical devices, we also design an intra-layered negotiation mechanism to implement dynamic reconfiguration, so that the system can support hybrid production of multi-typed products. Finally, we give experimental results to verify efficiency, self-organized process, and hybrid production paradigm of the proposed system. [ABSTRACT FROM AUTHOR]

In this study, multi-walled carbon nanotubes were coated on the surface of magnetic nanoparticles modified by polydopamine. The synthesized composite was characterized and applied to magnetic-μ-dispersive solid-phase extraction of oxcarbazepine (OXC), phenytoin (PHT), and carbamazepine (CBZ) from human plasma, urine, and cerebrospinal fluid samples prior to analysis by a high-performance liquid chromatography-photodiode array detector. The extraction parameters were investigated and the optimum condition was obtained when the variables were set to the following: sorbent type, Fe3O4@polyDA-MWCNTs (length < 2 μm); sample pH, 6; amount of sorbent, 15 mg; sorption time, 1.5 min at room temperature; type and volume of the eluent, 2.5 mL methanol; and salt content, none added. Under the optimized conditions, the calibration curves are linear in the concentration range 2-2000 ng/mL, the limits of detection are in the range 0.4-3.1 ng/mL, and the relative standard deviations and relative recoveries of plasma (spiked at 200 ng/mL) and CSF (spiked at 50 ng/mL) are in the ranges 1.4-8.2% and 92.8-96.5%, respectively. The applicability of the method was successfully confirmed by extraction and determination of OXC, PHT, and CBZ in biological matrices.Magnetic multi-walled carbon nanotube core-shell composites were applied as magnetic-μ-dispersive solid-phase extraction adsorbents for determination of antiepileptic drugs in biological matrices. [ABSTRACT FROM AUTHOR]

This study investigates the efficacy of benign prostatic hyperplasia (BPH) treatment by prostate transurethral enucleation using a 2-μm laser. A total of 107 patients with BPH were treated by prostate transurethral enucleation using a RevoLix 2-μm laser surgery system. Bleeding volume, operation time, catheterization time, voiding situation, maximum urinary flow rate, and hospital stay were observed. The mean operation time was 74 min ± 12 min (range 45 to 150 min), the mean follow-up period was 2 to 6 months, the mean catheter time was 5 days, and the mean peak urinary flow rate increased from 6.3 ± 0.6 to 17.5 ± 1.5 mL/s. The International Prostate Symptom Score and quality of life significantly declined ( p < 0.01). No significant differences were observed in the hemoglobin and blood electrolytes before and after operation. Prostate transurethral enucleation using a 2-μm laser is safe and efficient for BPH treatment. [ABSTRACT FROM AUTHOR]

The Cancer Genome Atlas (TCGA) has accrued RNA-Seq-based transcriptome data for more than 4000 cancer tissue samples across 12 cancer types, translating these data into biological insights remains a major challenge. We analyzed and compared the transcriptomes of 4043 cancer and 548 normal tissue samples from 21 TCGA cancer types, and created a comprehensive catalog of gene expression alterations for each cancer type. By clustering genes into co-regulated gene sets, we identified seven cross-cancer gene signatures altered across a diverse panel of primary human cancer samples. A 14-gene signature extracted from these seven cross-cancer gene signatures precisely differentiated between cancerous and normal samples, the predictive accuracy of leave-one-out cross-validation (LOOCV) were 92.04%, 96.23%, 91.76%, 90.05%, 88.17%, 94.29%, and 99.10% for BLCA, BRCA, COAD, HNSC, LIHC, LUAD, and LUSC, respectively. A lung cancer-specific gene signature, containing SFTPA1 and SFTPA2 genes, accurately distinguished lung cancer from other cancer samples, the predictive accuracy of LOOCV for TCGA and GSE5364 data were 95.68% and 100%, respectively. These gene signatures provide rich insights into the transcriptional programs that trigger tumorigenesis and metastasis, and many genes in the signature gene panels may be of significant value to the diagnosis and treatment of cancer. [ABSTRACT FROM AUTHOR]

Gravitational waves (GWs) from extra dimensions, very early universe, and some high-energy astrophysical processes might have at most six polarization states: tensor- and nontensor-mode gravitons. The peak regions or partial peak regions (of the amplitudes or energy densities) of some of such GWs are just distributed in the GHz or higher frequency band, which would be an optimal frequency band for the electromagnetic (EM) response to such high-frequency GWs (HFGWs). In this paper we investigate the EM response to the HFGWs, and for the first time we obtain the concrete form of analytic solutions of the perturbative EM fields caused by all six possible polarizations of the HFGWs in the background stable EM fields and in the proposed three dimensional synchro-resonance system (3DSR system), respectively. It is found that all such six polarizations may in principle show separability and detectability. Moreover, the detection frequency band ( ∼ 10 8 to 10 12 Hz or higher) of the signal photon fluxes by the 3DSR system and the observation frequency range ( ∼ 7 × 10 7 to 3 × 10 9 Hz) of the signals by the FAST (Five-hundred-meter Aperture Spherical Telescope, China) have a certain overlapping property, and thus their coincidence experiments in the future for observations will have high complementarity. [ABSTRACT FROM AUTHOR]

Efficient transparent quantum-dot light emitting diodes (QD-LEDs) are demonstrated by using a silver nanowire (AgNW) cathode. The devices are fabricated through a solution technique, not any vacuum processes are involved. Almost identical performance is obtained for both sides of the transparent device, which is primary due to the high transmittance of AgNW cathode. The maximum luminance (efficiency) for ITO and AgNW side is 25,040 cd/m2 (5.6 cd/A) and 23,440 cd/m2 (5.2 cd/A), respectively. The average specular transmittance of the device (involving the glass substrate) is over 60% in the visible range. This study indicates that AgNW electrodes can serve as a cost-effective, flexible alternative to ITO, and thereby improve the economic viability and mechanical stability of QD-LEDs. All the results suggest that this is an important progress toward producing transparent QD-LEDs based displays and lighting sources. [ABSTRACT FROM AUTHOR]

A correction to the article "The work mechanism and sub-bandgap-voltage electroluminescence in inverted quantum dot light-emitting diodes" is presented in which contain a typographical error.