N-methyl-D-aspartate receptor subtype 3A promotes apoptosis in developing mouse brain exposed to hyperoxia

In the present study, 7 day postnatal C57/BL6 wild-type mice （hyperoxia group） and 7 day postnatal N-methyI-D-aspartate receptor subtype 3A knockout mice （NR3A KO group） were exposed to 75% oxygen and 15% nitrogen in a closed container for 5 days. Wild-type mice raised in normoxia served as controls. TdT-mediated dUTP nick end labeling （TUNEL）/neuron-specific nuclear protein （NeuN） and 5-bromo-2＇-deoxyuridine （BrdU）/NeuN immunofluorescence staining showed that the number of apoptotic cells and the number of proliferative cells in the dentate subgranular zone significantly increased in the hyperoxia group compared with the control group. However, in the same hyperoxia environment, the number of apoptotic cells and the number of proliferative cells significantly decreased in the NR3A KO group compared with hyperoxia group. TUNEL＋/NeuN＋ and BrdU＋/NeuN~ cells were observed in the NR3A KO and the hyperoxia groups. These results demonstrated that the NR3A gene can promote cell apoptosis and mediate the potential damage in the developing brain induced by exposure to non-physiologically high concentrations of oxygen.

LSTM-Based Adaptive Modulation and Coding for Satellite-to-Ground Communications

Satellite communication develops rapidly due to its global coverage and is unrestricted to the ground environment. However, compared with the traditional ground TCP/IP network, a satellite-to-ground link has a more extensive round trip time(RTT) and a higher packet loss rate,which takes more time in error recovery and wastes precious channel resources. Forward error correction(FEC) is a coding method that can alleviate bit error and packet loss, but how to achieve high throughput in the dynamic network environment is still a significant challenge. Inspired by the deep learning technique, this paper proposes a signal-to-noise ratio(SNR) based adaptive coding modulation method. This method can maximize channel utilization while ensuring communication quality and is suitable for satellite-to-ground communication scenarios where the channel state changes rapidly. We predict the SNR using the long short-term memory(LSTM) network that considers the past channel status and real-time global weather. Finally, we use the optimal matching rate(OMR) to evaluate the pros and cons of each method quantitatively. Extensive simulation results demonstrate that our proposed LSTM-based method outperforms the state-of-the-art prediction algorithms significantly in mean absolute error(MAE). Moreover, it leads to the least spectrum waste.

Introduction and recent progress of BRAIN Initiative in the United States

The presidential research program Brain Research through Advancing Innovative Neurotechnologies(BRAIN)Initiative was established5years ago in the United States;it has been a driving force of the United States government and private factors to promote technology development in basic and translational neuroscience research.We here summarize the research plan and recent progress in cellular neuroscience,electrical and optical engineering,chemical and systems neurobiology,and brain mapping technologies.The research plan recognizes the importance of identifying different cell populations and unknown cell types in the human brain and diseased models.Technological advances in multielectrode arrays and chemical flow measurement probes not only demonstrate the capacity of detecting neural activities in large areas,but also enable a new era of studying the neural coding information.Large-scale coordination of neuronal activity and brain mapping information will allow for the identification of therapeutic targets in neurological disorders,which is benefited by big data acquisition and analysis.Specifically,increased brain databases will expedite the dissection of thoughts,emotions,cognition,and will thereby help the development of better understanding and treatments of brain disorders.Since cell therapy demonstrates potential for regenerative medicine,the utilization of the newly advanced technologies may further improve the translational potentials and precision controls of transplanted grafts.The development of new diagnostic and therapeutic tools also requires international collaborations on science,technology,advocating,healthcare and medical ethics to advance the innovation and clinical practices.

Recent advances on false information governance

In recent years,false information or misinformation,which may result from misperception or deception[1,2],has been spread explosively through various social media,such as short videos,Weibo,and lives.In reality,it generates rumors,influences social opinion,and disturbs the social order.The widespread false information on the Internet or public media brings us profound negative effects,especially in the economy,psychology,and daily life.

Time-optimal control for hybrid systems based on the nitrogen-vacancy center

Fast and high fidelity quantum control is the key technology of quantum computing. The hybrid system composed of the nitrogen-vacancy center and nearby Carbon-13 nuclear spin is expected to solve this problem. The nitrogen-vacancy center electron spin enables fast operations for its strong coupling to the control field, whereas the nuclear spins preserve the coherence for their weak coupling to the environment. In this paper, we describe a strategy to achieve time-optimal control of the Carbon-13 nuclear spin qubit by alternating controlling the nitrogen-vacancy center electron spin as an actuator. We transform the qubit gate operation into a switched system. By using the maximum principle, we study the minimum time control of the switched system and obtain the time-optimal control of the qubit gate operation. We show that the X gate and Y gate operations are within 10μs while the fidelity reaches 0.995.