Effects of vibrational excitation on the F + H2O → HF + OH reaction: dissociative photodetachment of overtone-excited [F-H-OH].

The reaction F + H2O → HF + OH is a four-atom system that provides an important benchmark for reaction dynamics. Hydrogen atom transfer at the transition state for this reaction is expected to exhibit a strong dependence on reactant vibrational excitation. In the present study, the vibrational effects are examined by photodetachment of vibrationally excited F-(H2O) precursor anions using photoelectron-photofragment coincidence (PPC) spectroscopy and compared with full six-dimensional quantum dynamical calculations on ab initio potential energy surfaces. Prior to photodetachment at hνUV = 4.80 eV, the overtone of the ionic hydrogen bond mode in the precursor F-(H2O), 2νIHB at 2885 cm-1, was excited using a tunable IR laser. Experiment and theory show that vibrational energy in the anion can be effectively carried away by the photoelectron upon a Franck-Condon photodetachment, and also show evidence for an increase of branching into the F + H2O reactant channel. The experimental results suggest a greater role for product rotational excitation than theory. Improved potential energy surfaces and longer wavepacket propagation times would be helpful to further examine the nature of the discrepancy

Giant congenital lower lip nevus restored by local advanced skin flap: a case report

INTRODUCTION: A congenital lower lip nevus is common, but a lower lip length lesion of more than 40% is hard to excise simply, without any distortion. We designed a lower lip bilateral advanced skin flap to restore the wound surface after completely and successfully removing the nevus. CASE PRESENTATION: A 13-year-old Mongolian girl was referred to us with a giant congenital lower lip nevus. The lesion covered nearly half of her lower lip. We designed a lower lip bilateral advanced skin flap to restore the wound surface, after completely removing the nevus without advanced repair. CONCLUSIONS: This case report demonstrates a case of a lower lip length defect of more than 40%, repaired by direct closure without dysfunction. It was a successful attempt that minimized the subsequent scar and dysfunction

Metaverse: The Re-Confirmation of Human Subjectivity

The metaverse is a major product of the entry of human beings into digital civilization. Under the spirit of Report of the 20th National Congress of the Communist Party of China, the wave of information revolution and the new model of “metaverse+”, it is a major issue to promote Chinese path to modernization and create a new form of human civilization, and it is important to discuss the re-confirmation of human subjectivity in the metaverse, and it is important to answer a series of questions such as what is human and what is the role of human subjectivity in the metaverse. This paper takes the environment and characteristics of human beings as the starting point to answer the question of human subjectivity, and analyzes the confirmation of freedom and consciousness in choosing living space, the confirmation of autonomy in switching cognitive perspectives, the confirmation of dynamism in expanding social interactions, and the confirmation of creativity in empowering digital technology in the metaverse, and deeply examines the relationship between human beings and the metaverse

An interactive image segmentation method in hand gesture recognition

In order to improve the recognition rate of hand gestures a new interactive image segmentation method for hand gesture recognition is presented, and popular methods, e.g., Graph cut, Random walker, Interactive image segmentation using geodesic star convexity, are studied in this article. The Gaussian Mixture Model was employed for image modelling and the iteration of Expectation Maximum algorithm learns the parameters of Gaussian Mixture Model. We apply a Gibbs random field to the image segmentation and minimize the Gibbs Energy using Min-cut theorem to find the optimal segmentation. The segmentation result of our method is tested on an image dataset and compared with other methods by estimating the region accuracy and boundary accuracy. Finally five kinds of hand gestures in different backgrounds are tested on our experimental platform, and the sparse representation algorithm is used, proving that the segmentation of hand gesture images helps to improve the recognition accuracy