A Comprehensive Study on Self-Learning Methods and Implications to Autonomous Driving.

As artificial intelligence (AI) has already seen numerous successful applications, the upcoming challenge lies in how to realize artificial general intelligence (AGI). Self-learning algorithms can autonomously acquire knowledge and adapt to new, demanding applications, recognized as one of the most effective techniques to overcome this challenge. Although many related studies have been conducted, there is still no comprehensive and systematic review available, nor well-founded recommendations for the application of autonomous intelligent systems, especially autonomous driving.

Numerical Demonstration of 800 Gbps WDM Silicon Photonic Transmitter with Sub-Decibel Surface-Normal Optical Interfaces.

We propose and numerically demonstrate an 800 Gbps silicon photonic transmitter with sub-decibel surface-normal optical interfaces. The silicon photonic transmitter is composed of eight silicon Mach-Zehnder optical modulators and an interleaved AMMI WDM device. This WDM device comprises two 1 × 4 angled MMI and a Mach-Zehnder interferometer (MZI) optical interleaver with an apodized bidirectional grating which has about -0.

Energy Management Strategy Based on a Novel Speed Prediction Method.

Vehicle speed prediction can obtain the future driving status of a vehicle in advance, which helps to make better decisions for energy management strategies. We propose a novel deep learning neural network architecture for vehicle speed prediction, called VSNet, by combining convolutional neural network (CNN) and long-short term memory network (LSTM). VSNet adopts a fake image composed of 15 vehicle signals in the past 15 s as model input to predict the vehicle speed in the next 5 s.

Dual-Input and Multi-Channel Convolutional Neural Network Model for Vehicle Speed Prediction.

With the development of technology, speed prediction has become an important part of intelligent vehicle control strategies. However, the time-varying and nonlinear nature of vehicle speed increases the complexity and difficulty of prediction. Therefore, a CNN-based neural network architecture with two channel input (DICNN) is proposed in this paper.

Lysine-specific demethylase 1 induced epithelial-mesenchymal transition and promoted renal fibrosis through Jagged-1/Notch signaling pathway.

Objective: TGF-β1-induced excessive deposition of extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) process of tubular epithelial cells play critical roles in the progression of renal fibrosis. We are aimed to explore the effects of lysine-specific demethylase 1 (LSD1) in TGF-β1-treated HK-2 cells and in rats with unilateral ureteral obstruction (UUO), and to investigate the underlying molecular mechanism.

Methods: TGF-β1-treated HK-2 cells and UUO-treated rats were used to establish the model of renal fibrosis in vitro and in vivo, respectively.

[Point application in literature of stone chamber and its application].

Acupuncture-moxibustion material found in stone chamber shows academic value on research of acupuncture-moxibustion in Tang Dynasty and before. In the paper we summarize its medical prescriptions and the existing acupoint application contents. It is considered that its acupoint application is widely clinically used in dermatological department, cosmetology department, ophthalmology and otorhinolaryngology departments, paediatrics department, gynaecology department, anorectal department, orthopedics and traumatology department.

[Modern research progress regarding effect mechanism of acupuncture on post-traumatic stress disorder].

From the TCM theoretical basis and the evidences of acupoint selection and acupuncture and moxibustion methods regarding acupuncture for post-traumatic stress disorder (PTSD), a theoretical discussion is made in this article, also a review regarding the key mechanism of experiment researches on acupuncture for PTSD is made from aspects of neurobiology and brain functional imaging, etc., which could further clarify the effect mechanism of acupuncture on PTSD. It is found that PTSD is a kind of stress syndrome accompanied with a variety of abnormal mental symptom , and acupuncture has superior effect on PTSD.

[Brief introduction of 's "golden hook fishing" technique in acupuncture].

Golden hook fishing technique in acupuncture is one of the characteristics for the inheritance of aca-demic school of 's acupuncture technique. On the theoretic basis of traditional "lifting and thrusting" technique and "biting hook" sensation, by the coordination of the hands, focusing on the gentle lifting and shaking technique, selecting points, the tendon-knotted sites, the eight influential points and experienced effective points, this special acupuncture technique is used for acute pain disorders and brain disorders in clinical application.