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Global warming has been reported to cause reductions in crop yields. However, it was suggested that warming temperature might benefit crop productivity in some cool areas at high latitude. In this study, we conducted a 17‐year field experiment (2002–2018) on spring wheat in Inner Mongolia. Temperature changes during each growth stage of spring wheat were investigated. Responses of spring wheat yield to temperature changes during the specific growing stages were evaluated. Average annual maximum temperature (Tmax) and minimum temperature (Tmin) significantly increased over the past 17 years. However, Tmax did not show obvious increase trend during spring wheat growing seasons (p = 0.0672). Furthermore, Tmax also had no distinct change before or after anthesis. Tmin significantly increased during the whole growing season, as well as in pre‐ and post‐anthesis stages. Correlation analysis indicated that Tmax in the entire growing season and post‐anthesis did not affect spring wheat yield, but high Tmax during pre‐anthesis can improve grain yield. The Tmin during the life cycle and pre‐anthesis both had positive relationship with grain yield. Moreover, elevated temperature from seedling to stem elongation can benefit tiller formation and thus increasing spike number, which contributed to the significant yield increase (p = 0.0093). Overall, climate warming affect spring wheat yield in cool area, and increasing temperature that was below the optimum temperature can benefit wheat productivity.

Existing Voice Cloning (VC) tasks aim to convert a paragraph text to a speech with desired voice specified by a reference audio. This has significantly boosted the development of artificial speech applications. However, there also exist many scenarios that cannot be well reflected by these VC tasks, such as movie dubbing, which requires the speech to be with emotions consistent with the movie plots. To fill this gap, in this work we propose a new task named Visual Voice Cloning (V2C), which seeks to convert a paragraph of text to a speech with both desired voice specified by a reference audio and desired emotion specified by a reference video. To facilitate research in this field, we construct a dataset, V2C-Animation, and propose a strong baseline based on existing state-of-the-art (SoTA) VC techniques. Our dataset contains 10,217 animated movie clips covering a large variety of genres (e.g., Comedy, Fantasy) and emotions (e.g., happy, sad). We further design a set of evaluation metrics, named MCD-DTW-SL, which help evaluate the similarity between ground-truth speeches and the synthesised ones. Extensive experimental results show that even SoTA VC methods cannot generate satisfying speeches for our V2C task. We hope the proposed new task together with the constructed dataset and evaluation metric will facilitate the research in the field of voice cloning and the broader vision-and-language community., Comment: 15 pages, 14 figures

BACKGROUND: Immunoglobulin (Ig) A nephropathy (IgAN) with a membranoproliferative pattern of injury that manifests as nephrotic syndrome (NS) is rarely reported in hepatitis C virus (HCV)-induced cirrhosis. It is not known whether eradication of HCV by direct-acting antiviral (DAA) drugs can lead to remission of proteinuria and improve the long-term prognosis. CASE DESCRIPTION: We report the case of a 52-year-old woman with HCV cirrhosis for 10 years. She had undergone splenectomy and cholecystectomy due to complications of liver cirrhosis. The patient presented with NS and was diagnosed by kidney biopsy with IgAN with a membranoproliferative pattern of injury. Twelve-week sofosbuvir and ledipasvir therapy successfully eradicated HCV in this decompensated cirrhosis patient and resulted in partial remission of IgAN. The patient stayed in partial remission for 4 years and had her first relapse with deterioration of portal hypertension and suspected hepatic carcinoma despite a sustained HCV virologic response. We consider the IgAN in this case to be secondary to liver cirrhosis and HCV infection rather than a primary nephropathy. DAA drugs which have no direct reno-protective effect resulted in partial remission of IgAN because they eradicated HCV and improved the liver disorder. CONCLUSIONS: Although relapse of IgAN could occur when liver cirrhosis deteriorates, DAA treatment may be considered an alternative for similar patients.

In many real-world applications, we often need to handle various deployment scenarios, where the resource constraint and the superclass of interest corresponding to a group of classes are dynamically specified. How to efficiently deploy deep models for diverse deployment scenarios is a new challenge. Previous NAS approaches seek to design architectures for all classes simultaneously, which may not be optimal for some individual superclasses. A straightforward solution is to search an architecture from scratch for each deployment scenario, which however is computation-intensive and impractical. To address this, we present a novel and general framework, called Elastic Architecture Search (EAS), permitting instant specializations at runtime for diverse superclasses with various resource constraints. To this end, we first propose to effectively train an over-parameterized network via a superclass dropout strategy during training. In this way, the resulting model is robust to the subsequent superclasses dropping at inference time. Based on the well-trained over-parameterized network, we then propose an efficient architecture generator to obtain promising architectures within a single forward pass. Experiments on three image classification datasets show that EAS is able to find more compact networks with better performance while remarkably being orders of magnitude faster than state-of-the-art NAS methods, e.g., outperforming OFA (once-for-all) by 1.3% on Top-1 accuracy at a budget around 361M #MAdds on ImageNet-10. More critically, EAS is able to find compact architectures within 0.1 second for 50 deployment scenarios., Comment: Tech report

3D LiDAR (light detection and ranging) semantic segmentation is important in scene understanding for many applications, such as auto-driving and robotics. For example, for autonomous cars equipped with RGB cameras and LiDAR, it is crucial to fuse complementary information from different sensors for robust and accurate segmentation. Existing fusion-based methods, however, may not achieve promising performance due to the vast difference between the two modalities. In this work, we investigate a collaborative fusion scheme called perception-aware multi-sensor fusion (PMF) to exploit perceptual information from two modalities, namely, appearance information from RGB images and spatio-depth information from point clouds. To this end, we first project point clouds to the camera coordinates to provide spatio-depth information for RGB images. Then, we propose a two-stream network to extract features from the two modalities, separately, and fuse the features by effective residual-based fusion modules. Moreover, we propose additional perception-aware losses to measure the perceptual difference between the two modalities. Extensive experiments on two benchmark data sets show the superiority of our method. For example, on nuScenes, our PMF outperforms the state-of-the-art method by 0.8 in mIoU., Comment: 20 pages. ICCV2021

A radiation hardened by design (RHBD) latch and its temporally hardened version to tolerate double node upsets are proposed in this paper. C-Elements are used to construct structures for fault correction. The temporally hardened version can further tolerate some single-event transients (SETs) at input port and clock line. Compared with Quintuple Modular Redundancy (QMR), the proposed non-temporally and temporally hardened latches are more area and power efficient with improved propagation delays. Compared with several previously reported temporally hardened latches, the proposed temporally hardened latch may introduce lower performance loss induced as setup time increase. Several multi-node upset tolerant latches are also compared with these two designs in terms of area, power, and delay. A cell level soft error analysis (TFIT) shows that the upset threshold LETs of the proposed latches in 180 nm process are higher than 16 MeV-cm2/mg.

Proceedings Of The 7Th Graz Brain-Computer Interface Conference 2017, From Vision To Reality, September 18-22, 2017 Graz University Of Technology, Austria

As technology scales, the protection of Finite State Machines' (FSMs) states against single event upset (SEU) and multiple bit upsets (MBUs) becomes more difficult. In this paper, a self-checking approach to enhance the SEU/MBUs immunity of FSMs' states by replicating One-Hot code times for state encoding is presented. This approach can correct less than bit-flip faults in the state register per cycle. Bit-flips are treated as random events and modeled by applying Poisson distribution. Two characteristics of this approach are obtained through probability analysis: first, this approach performs better with the increase of , whereas worse when an FSM contains more states; second, this approach can offer more enhanced reliability than Binary or One-Hot state encoding with Triple Modular Redundancy (TMR). The former characteristic leads to the further improvement of this approach which is called state-reforming. The reliabilities of this proposed approach and its state-reformed solutions, as well as are all evaluated through simulations of fault injections.

Proceedings Of The 6Th International Bci Meeting: Bci Past, Present, And Future

In the present work, a nanoporous (pore width 0.7nm) graphene-based sponge-like material with large surface area ( 350m2/g) was synthesized by wet chemical reduction of graphene oxide in combination with freeze-drying. Surface morphology and elemental composition were studied by scanning and transmission electron microscopy combined with energy dispersive X-ray spectroscopy. Surface chemistry was qualitatively examined by Fourier-transform infrared spectroscopy, while the respective structure was investigated by X-ray diffraction analysis. Textural properties, including Brunauer–Emmet–Teller (BET) surface area, micropore volume and surface area as well as pore size distribution, were deduced from nitrogen gas adsorption/desorption data obtained at 77K and up to 1bar. Potential use of the spongy graphene for gas storage and separation applications was preliminarily assessed by low-pressure (0–1bar) H2, CO2 and CH4 sorption measurements at different temperatures (77, 273 and 298K). The adsorption capacities for each gas were evaluated up to 1bar, the isosteric enthalpies of adsorption for CO2 (28–33kJ/mol) and CH4 (30–38kJ/mol) were calculated using the Clausius–Clapeyron equation, while the CO2/CH4 gas selectivity (up to 95:1) was estimated using the Ideal Adsorbed Solution Theory (IAST). •Nanoporous sponge produced by chemical reduction of graphene oxide and freeze-drying•Characterization performed using SEM, EDS, TEM, FT-IR, BET and XRD methods•Gas storage performance evaluated towards H2, CO2 and CH4 adsorption up to 1bar•CO2 over CH4 gas selectivity estimated between 45 and 95 at 273K using the IAST model 596 242 249 242-249

This paper discusses the existence and number of solutions for a class of singular nonautonomous functional differential equations with bounded delay near a singular point, and shows either there are only two solutions or there is no solution to this kind of equations.

The random characteristics of multipath delay spread in a land mobile radio environment are analyzed. Its distribution density is theoretically derived. A comparison between the measured data and that predicted by the model shows good agreement. >

Firstly, the paper discusses existence and uniqueness of solutions of a class of index-1 nonlinear singular systems. Secondly, the paper discusses stability of the zero solution for singular systems. Finally, the paper discusses stabilization of the singular systems.

A single event upset (SEU) tolerant latch with a triple-interlocked structure is presented. Its self-recovery mechanism is implemented by using three pairs of guard-gates and inverters to construct feedback lines inside the structure. This latch effectively suppresses the effects of charge deposition at any single internal node caused by particle strikes. Three recently reported SEU-hardened latches are chosen and compared with this latch in terms of reliability. The potential problems that these three latches could still get flipped due to single event effects or single event effects plus crosstalk coupling are pointed out, which can be mitigated by this proposed latch. The SEU tolerance of each latch design is evaluated through circuit-level SEU injection simulation. Furthermore, discussions on the crosstalk robustness and some other characteristics of these latches are also presented.