Non-Hermitian Floquet Topological Matter -- A Review

Non-Hermitian Floquet topological phases appear in systems described by time-periodic non-Hermitian Hamiltonians. This review presents a sum-up of our studies on non-Hermitian Floquet topological matter in one and two spatial dimensions. After a brief overview of the literature, we introduce our theoretical framework for the study of non-Hermitian Floquet systems and the topological characterization of non-Hermitian Floquet bands. Based on our theories, we describe typical examples of non-Hermitian Floquet topological insulators, superconductors and quasicrystals with a focus on their topological invariants, bulk-edge correspondences, non-Hermitian skin effects, dynamical properties and localization transitions. We conclude this review by summarizing our main discoveries and discussing potential future directions.Comment: 86 pages, 10 figures, comments are welcom

Controlling Capillary-Driven Fluid Transport in Paper-Based Microfluidic Devices Using a Movable Valve

This paper describes a novel, strategy for fabricating the movable valve on paper-based microfluidic devices to manipulate capillary-driven fluids. The movable valve fabrication is first realized using hollow rivets as the-holding center it, control the paper channel in different layer movement that Jesuits in the :channel's connection or disconnection. The relatively simple Valve fabrication procedure is robust, Versatile, and, compatible with microfluidic paper-based analytical devices (mu PADs) with differing levels of complexity. It is remarkable that the movable valve can be convenient and free to control fluid without the timing setting; advantages that make it user-friendly for untrained users to carry out the complex multistep operations. For the, performance of the Movable valve to be-verified, several different designs of mu PADs were tested and obtained with satisfactory results. In addition; in the proof-of-concept enzyme-linked immunosorbent assay experiments, we demonstrate the use of these valves in mu PADs for the successful analysis of samples of carcino-embryonic antigen, showing good sensitivity and reproducibility. We hope this technique will open new avenues for the fabrication of paper-based valves in an easily adoptable and widely available way on mu PADs and provide potential point-of-Care applications in the future.This paper describes a novel, strategy for fabricating the movable valve on paper-based microfluidic devices to manipulate capillary-driven fluids. The movable valve fabrication is first realized using hollow rivets as the-holding center it, control the paper channel in different layer movement that Jesuits in the :channel's connection or disconnection. The relatively simple Valve fabrication procedure is robust, Versatile, and, compatible with microfluidic paper-based analytical devices (mu PADs) with differing levels of complexity. It is remarkable that the movable valve can be convenient and free to control fluid without the timing setting; advantages that make it user-friendly for untrained users to carry out the complex multistep operations. For the, performance of the Movable valve to be-verified, several different designs of mu PADs were tested and obtained with satisfactory results. In addition; in the proof-of-concept enzyme-linked immunosorbent assay experiments, we demonstrate the use of these valves in mu PADs for the successful analysis of samples of carcino-embryonic antigen, showing good sensitivity and reproducibility. We hope this technique will open new avenues for the fabrication of paper-based valves in an easily adoptable and widely available way on mu PADs and provide potential point-of-Care applications in the future

Video-driven Neural Physically-based Facial Asset for Production

Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion capture and rigging, and expression synthesis. Recent neural approaches automate individual components but the corresponding latent representations cannot provide artists with explicit controls as in conventional tools. In this paper, we present a new learning-based, video-driven approach for generating dynamic facial geometries with high-quality physically-based assets. For data collection, we construct a hybrid multiview-photometric capture stage, coupling with ultra-fast video cameras to obtain raw 3D facial assets. We then set out to model the facial expression, geometry and physically-based textures using separate VAEs where we impose a global MLP based expression mapping across the latent spaces of respective networks, to preserve characteristics across respective attributes. We also model the delta information as wrinkle maps for the physically-based textures, achieving high-quality 4K dynamic textures. We demonstrate our approach in high-fidelity performer-specific facial capture and cross-identity facial motion retargeting. In addition, our multi-VAE-based neural asset, along with the fast adaptation schemes, can also be deployed to handle in-the-wild videos. Besides, we motivate the utility of our explicit facial disentangling strategy by providing various promising physically-based editing results with high realism. Comprehensive experiments show that our technique provides higher accuracy and visual fidelity than previous video-driven facial reconstruction and animation methods.Comment: For project page, see https://sites.google.com/view/npfa/ Notice: You may not copy, reproduce, distribute, publish, display, perform, modify, create derivative works, transmit, or in any way exploit any such content, nor may you distribute any part of this content over any network, including a local area network, sell or offer it for sale, or use such content to construct any kind of databas

SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator

Recent years have seen growing interest in 3D human faces modelling due to its wide applications in digital human, character generation and animation. Existing approaches overwhelmingly emphasized on modeling the exterior shapes, textures and skin properties of faces, ignoring the inherent correlation between inner skeletal structures and appearance. In this paper, we present SCULPTOR, 3D face creations with Skeleton Consistency Using a Learned Parametric facial generaTOR, aiming to facilitate easy creation of both anatomically correct and visually convincing face models via a hybrid parametric-physical representation. At the core of SCULPTOR is LUCY, the first large-scale shape-skeleton face dataset in collaboration with plastic surgeons. Named after the fossils of one of the oldest known human ancestors, our LUCY dataset contains high-quality Computed Tomography (CT) scans of the complete human head before and after orthognathic surgeries, critical for evaluating surgery results. LUCY consists of 144 scans of 72 subjects (31 male and 41 female) where each subject has two CT scans taken pre- and post-orthognathic operations. Based on our LUCY dataset, we learn a novel skeleton consistent parametric facial generator, SCULPTOR, which can create the unique and nuanced facial features that help define a character and at the same time maintain physiological soundness. Our SCULPTOR jointly models the skull, face geometry and face appearance under a unified data-driven framework, by separating the depiction of a 3D face into shape blend shape, pose blend shape and facial expression blend shape. SCULPTOR preserves both anatomic correctness and visual realism in facial generation tasks compared with existing methods. Finally, we showcase the robustness and effectiveness of SCULPTOR in various fancy applications unseen before.Comment: 16 page, 13 fig

Report drawn up on behalf of the Committee on Economic and Monetary Affairs on the possible loan from the OPEC countries to the Federal Republic of Germany and to France. EP Working Documents 1982-83, Document 1-284/82, 4 June 1982

Abstract Background Hand, foot, and mouth disease (HFMD) has become an emerging infectious disease in China in the last decade. There has been evidence that meteorological factors can influence the HFMD incidence, and understanding the mechanisms can help prevent and control HFMD. Methods HFMD incidence data and meteorological data in Minhang District, Shanghai were obtained for the period between 2009 and 2015. Distributed lag non-linear models (DLNMs) were utilized to investigate the impact of meteorological factors on HFMD incidence after adjusting for potential confounders of long time trend, weekdays and holidays. Results There was a non-linear relationship between temperature and HFMD incidence, the RR of 5th percentile compared to the median is 0.836 (95% CI: 0.671–1.042) and the RR of 95th percentile is 2.225 (95% CI: 1.774–2.792), and the effect of temperature varied across age groups. HFMD incidence increased with increasing average relative humidity (%) (RR = 1.009, 95% CI: 1.005–1.015) and wind speed (m/s) (RR = 1.197, 95% CI: 1.118–1.282), and with decreasing daily rainfall (mm) (RR = 0.992, 95% CI: 0.987–0.997) and sunshine hours (h) (RR = 0.966, 95% CI: 0.951–0.980). Conclusions There were significant relationships between meteorological factors and childhood HFMD incidence in Minhang District, Shanghai. This information can help local health agencies develop strategies for the control and prevention of HFMD under specific climatic conditions

A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization

A cost-effective and low-power-consumption underwater microscopic imaging system was developed to capture high-resolution zooplankton images in real-time. In this work, dark-field imaging was adopted to reduce backscattering and background noise. To produce an accurate illumination, a novel illumination optimization scheme for the light-emitting diode (LED) array was proposed and applied to design a lighting system for the underwater optical imaging of zooplankton. A multiple objective genetic algorithm was utilized to find the best location of the LED array, which resulted in the specific illumination level and most homogeneous irradiance in the target area. The zooplankton imaging system developed with the optimal configuration of LEDs was tested withDaphnia magnaunder laboratory conditions. The maximal field of view was 16 mm x 13 mm and the optical resolution was 15 mu m. The experimental results showed that the imaging system developed could capture high-resolution and high-definition images ofDaphnia. Subsequently,Daphniaindividuals were accurately segmented and their geometrical characters were measured by using a classical image processing algorithm. This work provides a cost-effective zooplankton measuring system based on an optimization illumination configuration of an LED array, which has a great potential for minimizing the investment and operating costs associated with long-term in situ monitoring of the physiological state and population conditions of zooplankton

Stability analysis of inclined coal seam roadway along goaf considering non-uniform filling of gob gangue

After the mining of inclined coal seam, the roof falling gangue of goaf moves downward to fill the goaf due to gravity, which makes the strata behavior law of gob-side entry retaining in inclined coal seam different from that in horizontal coal seam. In order to study the influence of non - uniform filling of gangue on surrounding rock stability of gob - side entry retaining in inclined coal seam, taking No.3131 machine roadway of Longmenxia South Coal Mine in Sichuan as engineering background. The filling zone length of caving rock in goaf was quantified, and the compaction parameters of rock in quantified goaf were obtained by double yield model inversion. On this basis, a numerical calculation model was established to study the evolution characteristics of surrounding rock stress field and the distribution pattern of plastic zone in the whole service cycle of gob-side entry retaining in inclined coal seam, as well as the stress state and support performance of roadside filling body under bearing state. The results showed that the inclined lengths of filling compaction zone, complete filling zone and partial filling zone in goaf of 3131 working face were 57.20 m, 72.18 m and 10.62 m, respectively. For the gob-side entry retaining of inclined coal seam considering the zoning compaction characteristics of goaf, the abutment pressure in front of working face and the residual abutment pressure in goaf increase with the increase of depth. Compared with the first mining, the peak value and influence range of the abutment pressure in front of the working face under the second mining were significantly increased, and the concentration degree of the lateral abutment pressure was also significantly improved. The rock in the caving zone of goaf had a certain supporting effect on the roof strata of roadway, and the lateral abutment pressure had obvious stress concentration. Affected by repeated mining, the failure range of the plastic zone of the two sides extended along the layer, the plastic zone of roadway roof and goaf roof was connected, and the roof near the high sidewall and the surrounding rock of the two sidewalls were seriously broken and the stability was poor. The bearing stress of gob side of roadside backfill used in the mine was significantly greater than that of roadway side, and the horizontal stress was greater than the vertical stress. The roadside filling body can meet the strength requirements, but the anti-tilting performance was weak. On this basis, the control effect of roadway surrounding rock stability under existing support conditions was analyzed, and the reinforcement support scheme of 3131 machine roadway surrounding rock was put forward

Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture

Video Compression Artifact Reduction aims to reduce the artifacts caused by video compression algorithms and improve the quality of compressed video frames. The critical challenge in this task is to make use of the redundant high-quality information in compressed frames for compensation as much as possible. Two important possible compensations: Motion compensation and global context, are not comprehensively considered in previous works, leading to inferior results. The key idea of this paper is to fuse the motion compensation and global context together to gain more compensation information to improve the quality of compressed videos. Here, we propose a novel Spatio-Temporal Compensation Fusion (STCF) framework with the Parallel Swin-CNN Fusion (PSCF) block, which can simultaneously learn and merge the motion compensation and global context to reduce the video compression artifacts. Specifically, a temporal self-attention strategy based on shifted windows is developed to capture the global context in an efficient way, for which we use the Swin transformer layer in the PSCF block. Moreover, an additional Ada-CNN layer is applied in the PSCF block to extract the motion compensation. Experimental results demonstrate that our proposed STCF framework outperforms the state-of-the-art methods up to 0.23dB (27% improvement) on the MFQEv2 dataset

Revealing many-body effects on interband coherence through adiabatic charge pumping

10.1103/PhysRevB.100.144303PHYSICAL REVIEW B1001