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Video question answering (VideoQA) is challenging as it requires reasoning about natural language and multimodal interactive relations. Most existing methods apply attention mechanisms to extract interactions between the question and the video or to extract effective spatio-temporal relational representations. However, these methods neglect the implication of relations between intra- and inter-modal interactions for multimodal learning, and they fail to fully exploit the synergistic effect of multiscale semantics in answer reasoning. In this article, we propose a novel hierarchical synergy-enhanced multimodal relational network (HMRNet) to address these issues. Specifically, we devise (i) a compact and unified relation-oriented interaction module that explores the relation between intra- and inter-modal interactions to enable effective multimodal learning; and (ii) a hierarchical synergistic memory unit that leverages a memory-based interaction scheme to complement and fuse multimodal semantics at multiple scales to achieve synergistic enhancement of answer reasoning. With careful design of each component, our HMRNet has fewer parameters and is computationally efficient. Extensive experiments and qualitative analyses demonstrate that the HMRNet is superior to previous state-of-the-art methods on eight benchmark datasets. We also demonstrate the effectiveness of the different components of our method. [ABSTRACT FROM AUTHOR]

Regression-based face alignment involves learning a series of mapping functions to predict the true landmarks from an initial estimation of the alignment. Most existing approaches focus on learning efficacious mapping functions from some feature representations to improve performance. The issues related to the initial alignment estimation and the final learning objective, however, receive less attention. This work proposes a deep regression architecture with progressive reinitialization and a new error-driven learning loss function to explicitly address the above two issues. Given an image with a rough face detection result, the full face region is first mapped by a supervised spatial transformer network to a normalized form and trained to regress coarse positions of landmarks. Then, different face parts are further respectively reinitialized to their own normalized states, followed by another regression sub-network to refine the landmark positions. To deal with the inconsistent annotations in existing training datasets, we further propose an adaptive landmark-weighted loss function. It dynamically adjusts the importance of different landmarks according to their learning errors during training without depending on any hyper-parameters manually set by trial and error. A high level of robustness to annotation inconsistencies is thus achieved. The whole deep architecture permits training from end to end, and extensive experimental analyses and comparisons demonstrate its effectiveness and efficiency. The source code, trained models, and experimental results are made available at https://github.com/shaoxiaohu/Face_Alignment_DPR.git. [ABSTRACT FROM AUTHOR]

Abstract Background Previous studies have revealed that the lysin motif (LysM) domains of bacterial cell wall-degrading enzymes are able to bind to peptidoglycan moieties of the cell wall. This suggests an approach for a cell surface display system in Gram-positive bacteria using a LysM-containing protein as the anchoring motif. In this study, we developed a new surface display system in B. thuringiensis using a LysM-containing peptidoglycan hydrolase, endo-β-N-acetylglucosaminidase (Mbg), as the anchor protein. Results Homology searching in the B. thuringiensis YBT-1520 genome revealed a putative peptidoglycan hydrolase gene. The encoded protein, Mbg, exhibited substantial cell-wall binding capacity. The deduced amino acid sequence of Mbg was structurally distinguished as an N-terminal domain with two tandemly aligned LysMs and a C-terminal catalytic domain. A GFP-fusion protein was expressed and used to verify the surface localization by Western blot, flow cytometry, protease accessibility, SDS sensitivity, immunofluorescence, and electron microscopy assays. Low-level constitutive expression of Mbg was elevated by introducing a sporulation-independent promoter of cry3Aa. Truncated Mbg domains with separate N-terminus (Mbgn), C-terminus (Mbgc), LysM1, or LysM2 were further compared for their cell-wall displaying efficiencies. The Mbgn moiety contributed to cell-wall anchoring, while LysM1 was the active domain. Two tandemly repeated Mbgns exhibited the highest display activity, while the activity of three repeated Mbgns was decreased. A heterologous bacterial multicopper oxidase (WlacD) was successfully displayed onto the surface of B. thuringiensis target cells using the optimum (Mbgn)2 anchor, without radically altering its catalytic activity. Conclusion Mbg can be a functional anchor protein to target different heterologous proteins onto the surface of B. thuringiensis cells. Since the LysM domain appears to be universal in Gram-positive bacteria, the strategy presented here could be applicable in other bacteria for developing this type of system.

Background: Treatment of hemophiliacs with inhibitors remains challenging, and new treatments are in urgent need. Coagulation factor X plays a critical role in the downstream of blood coagulation cascade, which could serve as a bypassing agent for hemophilia therapy. Base on platelet‐targeted gene therapy for hemophilia by our and other groups, we hypothesized that activated factor X (FXa) targeted stored in platelets might be effective in treating hemophilia A (HA) and B (HB) with or without inhibitors. Methods: To achieve the storage of FXa in platelets, we constructed a FXa precursor and used the integrin αIIb promoter to control the targeted expression of FXa precursor in platelets. The expression cassette (2bFXa) was carried by lentivirus and introduced into mouse hematopoietic stem and progenitor cells (HSPCs), which were then transplanted into HA and HB mice. FXa expression and storage in platelets was examined in vitro and in vivo. We evaluated the therapeutic efficacy of platelet‐stored FXa by tail bleeding assays and the thrombelastography. In addition, thrombotic risk was assessed in the recipient mice and the lipopolysaccharide induced inflammation mice. Results: By transplanting 2bFXa lentivirus‐transduced HSPCs into HA and HB mice, FXa was observed stably stored in platelet α‐granules, the stored FXa is releasable and functional upon platelet activation. The platelet‐stored FXa can significantly ameliorate bleeding phenotype in HA and HB mice as well as the mice with inhibitors. Meanwhile, no FXa leakage in plasma and no signs of increased risk of hypercoagulability were found in transplantation recipients and lipopolysaccharide induced septicemia recipients. Conclusions: Our proof‐of‐principle data indicated that target expression of the FXa precursor to platelets can generate a storage pool of FXa in platelet α‐granules, the platelet‐stored FXa is effective in treating HA and HB with inhibitors, suggesting that this could be a novel choice for hemophilia patients with inhibitors. [ABSTRACT FROM AUTHOR]

Reflection differences between live faces and spoof faces under near-infrared spectrum make near-infrared image based methods obtain superior performance for face anti-spoofing. However, for conventional face recognition systems, near-infrared image based methods need additional near-infrared equipment to capture the input near-infrared images. In this paper, we propose a novel face anti-spoofing method which exploits the clues in both visible light (VIS) images and near-infrared (NIR) images without utilizing any near-infrared equipment during testing. Specifically, we first propose a novel multiple categories image translation generative adversarial network (MCT-GAN) which generates corresponding NIR images for VIS live and spoof face images. Then we utilize convolution neural network to learn fusing features from both VIS images and corresponding generated NIR images for the goal of live and spoof face classification. Qualitative and quantitative experiments demonstrate that our method obtains excellent results compared to the state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Bacillus thuringiensis has been widely used as a biopesticide for a long time. Here we report the finished and annotated genome sequence of B. thuringiensis mutant strain BMB171, an acrystalliferous mutant strain with a high transformation frequency obtained and stocked in our laboratory. doi: 10.1128/JB.00562-10

Facial landmark detection is a fundamental process included in many face analysis tasks. However, it faces great challenges for the facial images to be detected usually containing large variations, which will deteriorate the detection precision. Among such variations, partial occlusions and pose variations take great effects. In this study, the authors present a mixture of discriminative visibility‐aware models (MDVMs) for facial landmark detection, to improve the generalisation ability of the model to occlusion and pose variation. By adopting different structure constrains for different poses as well as selecting different appearance model for the occluded parts, the MDVMs method can efficiently address the problem of partial occlusion and pose variation. Experiment results demonstrate that their proposed MDVMs method outperforms the well‐known template‐based methods, and can obtain much more accurate and robust facial landmarks detection results under both occlusions and pose variations. [ABSTRACT FROM AUTHOR]

Background: Adipose-derived mesenchymal stem cells (ADSCs) have shown great potential in the treatment of various diseases. However, the optimum short-term storage condition of ADSCs in 2∼8 °C is rarely reported. This study aimed at optimizing a short-term storage condition to ensure the viability and function of ADSCs before transplantation., Methods: Preservation media and durations of storage were evaluated by cell viability, apoptosis, adhesion ability and colony-forming unit (CFU) capacity of ADSCs. The abilities of cell proliferation and differentiation were used to optimize cell concentrations. Optimized preservation condition was evaluated by cell surface markers, cell cycle and immunosuppressive capacity., Results: A total of 5% human serum albumin in multiple electrolytes (ME + HSA) was the optimized medium with high cell viability, low cluster rate, good adhesion ability and high CFU capacity of ADSCs. Duration of storage should be limited to 24 h to ensure the quality of ADSCs before transplantation. A concentration of 5 × 10 6 cells/ml was the most suitable cell concentration with low late stage apoptosis, rapid proliferation and good osteogenic and adipogenic differentiation ability. This selected condition did not change surface markers, cell cycle, indoleamine 2, 3-dioxygenase 1 (IDO1) gene expression and kynurenine (Kyn) concentration significantly., Discussion: In this study, ME + HSA was found to be the best medium, most likely due to the supplement of HSA which could protect cells, the physiological pH (7.4) of ME and sodium gluconate ingredient in ME which could provide energy for cells. Duration should be limited to 24 h because of reduced nutrient supply and increased waste and lactic acid accumulation during prolonged storage. To keep cell proliferation and limit lactic acid accumulation, the proper cell concentration is 5× 10 6 cells/ml. Surface markers, cell cycle and immunosuppressive capacity did not change significantly after storage using the optimized condition, which confirmed our results that this optimized short-term storage condition of MSCs has a great potential for the application of cell therapy., Competing Interests: The authors declare there are no competing interests.

Bacillus thuringiensis has been widely used as an agricultural biopesticide for a long time. As a producing strain, B. thuringiensis subsp. chinensis strain CT-43 is highly toxic to lepidopterous and dipterous insects. It can form various parasporal crystals consisting of Cry1Aa3, Cry1Ba1, Cry1Ia14, Cry2Aa9, and Cry2Ab1. During fermentation, it simultaneously generates vegetative insecticidal protein Vip3Aa10 and the insecticidal nucleotide analogue thuringiensin. Here, we report the finished, annotated genome sequence of B. thuringiensis strain CT-43.

The conventional enhanced biological phosphorus removal (EBPR) system often deteriorates at low chemical oxygen demand (COD) or under aeration conditions. A new approach that incorporates phosphate-eutrophic wastewater remediation was introduced through immobilization of an intracellular phosphate-binding protein (PBP) onto the surface of Pseudomonas putida or Escherichia coli, using the N-terminal anchor (InaQ-N) of a newly identified ice nucleation protein from Pseudomonas syringae. A green fluorescent protein-fusion protein was expressed and used to confirm surface localization. The PBP was then targeted to the surface of E. coli JM109 and P. putida AB92019. The engineered P. putida and E. coli microorganisms were capable of absolute biosorption of total phosphates at rates of 60 and 80 mg L(-1), respectively, over 5 h. In the recombinant P. putida cells, a surface-immobilized PBP fusion that had three tandemly repeated InaQ-Ns exhibited the maximum increment in phosphate biosorption, at sixfold compared with the control strain. Even heat-killed recombinant cells of either P. putida or E. coli retained substantial biosorptive activities. The current study demonstrates that the bacterial surface display of PBP should be considered as a strong contender for generating organisms capable of functioning in EBPR systems under low COD, resulting in improved removal of eutrophic phosphorus from wastewaters., (© 2009 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.)