Oxygen-dependent enhancement of hydrogen production by engineering bacterial hemoglobin in Escherichia coli

H₂ production under aerobic conditions has been proposed as an alternative method to overcome the fundamentally low yield of H₂ production by fermentative bacteria by maximizing the number of electrons that are available for H₂. Here, we engineered Vitreoscilla hemoglobin (VHb) in Escherichia coli to study the effects of this versatile oxygen (O₂)-binding protein on oxic H₂ production in a closed batch system that was supplemented with glucose. The H₂ yields that were obtained with the VHb-expressing E. coli were greatly enhanced in comparison to the negative control cells in culture that started with high O₂ tensions. The formate hydrogen lyase (FHL) activity of oxically cultured, VHb-expressing cells was also much higher than that of the negative control cells. Through inhibitor studies and time-course experiments, VHb was shown to contribute to the improved H₂ yield primarily by increasing the efficiency of cellular metabolism during the aerobic phase before the onset of H₂ production and not by working as an O₂-scavenger during H₂ production. This new approach allowed more substrate to remain to be further utilized for the production of more H₂ from limited resources. We expect that VHb can be successfully engineered in potential aerobic H₂-producing microbial systems to enhance the overall H₂ production yield. In addition, the remarkably high FHL activity of oxically grown, VHb-expressing cells may make this engineered strain an attractive whole-cell biocatalyst for converting formate to H₂.     

Joint Optimization of User Set Selection and Transmit Power Allocation for Orthogonal Random Beamforming in Multiuser MIMO Systems

When the number of users is finite, the performance improvement of the orthogonal random beamforming (ORBF) scheme is limited in high signal‐to‐noise ratio regions. In this paper, to improve the performance of the ORBF scheme, the user set and transmit power allocation are jointly determined to maximize sum rate under the total transmit power constraint. First, the transmit power allocation problem is expressed as a function of a given user set. Based on this expression, the optimal user set with the maximum sum rate is determined. The suboptimal procedure is also presented to reduce the computational complexity, which separates the user set selection procedure and transmit power allocation procedure.     

Hybrid approach of parallel implementation on CPU–GPU for high-speed ECDSA verification

The Journal of Supercomputing - Since the advent of deep belief network deep learning technology in 2006, artificial intelligence technology has been utilized in various convergence areas, such as...     

The Discovery of Aurora Kinase Inhibitor by Multi-Docking-Based Virtual Screening

We report the discovery of aurora kinase inhibitor using the fragment-based virtual screening by multi-docking strategy. Among a number of fragments collected from eMololecules, we found four fragment molecules showing potent activity (>50% at 100 μM) against aurora kinase. Based on the explored fragment scaffold, we selected two compounds in our synthesized library and validated the biological activity against Aurora kinase.     

Antibacterial activities of polyphenols against foodborne pathogens and their application as antibacterial agents

Food Science and Biotechnology - Polyphenols are secondary metabolites produced in higher plants. They are known to possess various functional properties in the human body. Polyphenols also exhibit...     

Real time object detection and trackingsystem for video surveillance system

Multimedia Tools and Applications - This paper introduces a system capable of real-time video surveillance in low-end edge computing environment by combining object detection tracking algorithm....     

Effect of a diffuser on gas-solid behavior in CFB riser for CO2 capture

Gas-solid fluidized beds have been used in CO₂ capture processes because of their high mixing characteristic and heat and mass transfer. Sufficient residence time of solid particles in a reactor is required to capture CO₂. However, a fraction of solid particles pass through a reactor without capturing CO₂ due to normal reaction characteristics. Therefore, the objective of the present study was to increase the sorbent residence time using a diffuser in a reactor for CO₂ capture. An Eulerian-Eulerian model in a commercial CFD program was employed to simulate gas-solid flow in the reactor. First, sensitivity analysis depending on operating conditions was conducted to predict the residence time of solid particles. The diffuser was located in the middle of the reactor and the angle of the diffuser was changed. Solid particles dispersed in the radial direction because of gas characteristics in the diffuser and increased the residence time. The results showed that the diffuser increased the sorbent residence time, so that the probabilities of gas-solid reaction would be also improved.

     

Low cycle fatigue behavior of hot-bent 347 stainless steel in a simulated PWR water environment

The effect of hot bending on the Low cycle fatigue (LCF) behavior of 347 SS was evaluated in Room temperature (RT) air and simulated Pressurized water reactor (PWR) water environments. The LCF life of 347 SS in PWR water was shorter than that in RT air for the as-received and hot-bent conditions. The LCF life of hot-bent 347 SS was relatively longer than that of the as-received condition in both RT air and PWR water. Microstructure analysis indicated development of dislocation structure near niobium carbide particles and increase in dislocation density for the hot-bent 347 SS. Such microstructure acted as barriers to dislocation movement during the LCF test, resulting in minimal hardening for the hot-bent 347 SS in RT air.     

A 360-Degree Panoramic Image Inpainting Network Using a Cube Map

Inpainting has been continuously studied in the field of computer vision. As artificial intelligence technology developed, deep learning technology was introduced in inpainting research, helping to improve performance. Currently, the input target of an inpainting algorithm using deep learning has been studied from a single image to a video. However, deep learning-based inpainting technology for panoramic images has not been actively studied. We propose a 360-degree panoramic image inpainting method using generative adversarial networks (GANs). The proposed network inputs a 360-degree equirectangular format panoramic image converts it into a cube map format, which has relatively little distortion and uses it as a training network. Since the cube map format is used, the correlation of the six sides of the cube map should be considered. Therefore, all faces of the cube map are used as input for the whole discriminative network, and each face of the cube map is used as input for the slice discriminative network to determine the authenticity of the generated image. The proposed network performed qualitatively better than existing single-image inpainting algorithms and baseline algorithms.     

Wrench-feasible workspace analysis considering aerodynamics of aerial robotic camera under high speed

Microsystem Technologies - Recently, there have been demand for aerial robotic cameras that offer a large working space, long broadcasting times, and excellent dynamic stability to broadcast live...