Probing Phonon dynamics and Electron-Phonon Coupling by High Harmonic Generation in Solids

Acting as a highly nonlinear response to the strong laser field, high harmonic generation (HHG) naturally contains the fingerprints of atomic and electronic properties of materials. Electronic properties of a solid such as band structure and topology can thus be probed, while the phonon dynamics during HHG are often neglected. Here we show that by exploiting the effects of phonon deformation on HHG, the intrinsic phonon information can be deciphered and direct probing of band- and mode-resolved electron-phonon couplings (EPC) of photoexcited materials is possible. Considering HHG spectroscopy can be vacuum free and unrestricted to electron occupation, this work suggests HHG is promising for all-optical characterization of EPC in solids, especially for gapped quantum states or materials under high pressure

Polymer-protein conjugate particles with biocatalytic activity for stabilization of water-in-water emulsions

Water-in-water (w/w) emulsions are attractive micro-compartmentalized platforms due to their outstanding biocom-patibility. To address the main disadvantage of poor stability that hampers their practical application, here we report a novel type of polymer-protein conjugate emulsifier obtained by Schiff base synthesis to stabilize w/w emulsions. In par-ticular, the proposed mild approach benefits the modification of proteins of suitable size and wettability as particulate emulsifiers retaining their bioactivity. As demonstrated in a model system, the methoxy polyethylene glycol (mPEG)-urease conjugate particles anchor at the w/w interfaces, where they serve as an effective emulsifier-combined-catalyst and catalyze the hydrolysis of urea in water to ammonium carbonate. Our study is unique in that it employs bioactive particles to stabilize w/w emulsions. Considering the characteristics of all-aqueous, compartmental and interfacial bio-catalysis of the system, it will open up new possibilities in the life sciences

Opportunities and challenges for Chinese elderly care industry in smart environment based on occupants' needs and preferences

New developments in intelligent devices for assisting elderly people can provide elders with friendly, mutual, and personalized interactions. Since the intelligent devices should continually make an important contribution to the smart elderly care industry, smart services or policies for the elders are recently provided by a large number of government programs in China. At present, the smart elderly care industry in China has attracted numerous investors’ attention, but the smart elderly care industry in China is still at the beginning stage. Though there are great opportunities in the market, many challenges and limitations still need to be solved. This study analyzes 198 news reports about opportunities and challenges in the smart elderly care industry from six major Chinese portals. The analysis is mainly based on needs assessment for elderly people, service providers, and the Chinese government. It is concluded that smart elderly care services satisfy the elders’ mental wants and that needs for improving modernization services are the most frequently mentioned opportunities. Also, the frequently mentioned challenges behind opportunities are intelligent products not being able to solve the just-needed, user-consumption concept and the ability to pay, which is the most frequently mentioned challenge. The results of this study will enable stakeholders in the smart elderly care industry to clarify the opportunities and challenges faced by smart elderly care services in China’s development process and provide a theoretical basis for better decision making

A Novel Animal Model for Subarachnoid Hemorrhage in Rabbits - Pathology due to Hemorrhage

The Pathophysiological course of subarachnoid hemorrhage (SAH) is not completely understood, such as  how and why blood or its lysate can influence the brain. Although many SAH animal models have previously  been reported, none are suitable for research in this field. The aim of the present study was to establish  such an animal model. Twenty New Zealand rabbits were divided into two groups, a control group and  a SAH group (n=10). Blood was lysed using an in vitro freeze-thaw method. After anesthesia, 0.9 ml of  cerebrospinal fluid was drawn from both groups. An identical volume of heparinized hemolysate was then  slowly injected into the cisterna magna of the SAH group animals. Control group animals while the control  group received heparinized isotonic sodium chloride solution. Forty-eight hours post-injection, samples  were excised after perfusion fixation for further determinations. The degree of cerebral vasospasm was  evaluated by measuring the cross-sectional area of the basilar arterial lumen, and brain damage was examined  by TUNEL staining. Weight, blood pressure and saturation of blood oxygen showed no statistical differences  between groups. The cross-sectional area of the arterial lumen in the SAH group was roundly  0.402 mm2, which was statistically the same as that for the control group (0.435 mm2). The apoptosis index  for the SAH group was significantly higher than that for the control group. Taken together, our results show  that this model is effective in reproducing the influence of blood on the brain after SAH and, at the same  time, strictly excludes influences on the brain by other factors. Thus, this model can effectively be applied  to investigate blood-related neuropathophysiology following SAH.

1,2-Diphenyl­ethane-1,2-diyl diiso­nico­tinate monohydrate1

In the novel title compound, C26H20N2O4·H2O, the two phenyl rings make a dihedral angle of 45.3 (1)° with each other, and the dihedral angle between the two pyridyl planes is 69.8 (1)°

Design of Recognition and Evaluation System for Table Tennis Players' Motor Skills Based on Artificial Intelligence

With the rapid development of electronic science and technology, the research on wearable devices is constantly updated, but for now, it is not comprehensive for wearable devices to recognize and analyze the movement of specific sports. Based on this, this paper improves wearable devices of table tennis sport, and realizes the pattern recognition and evaluation of table tennis players' motor skills through artificial intelligence. Firstly, a device is designed to collect the movement information of table tennis players and the actual movement data is processed. Secondly, a sliding window is made to divide the collected motion data into a characteristic database of six table tennis benchmark movements. Thirdly, motion features were constructed based on feature engineering, and motor skills were identified for different models after dimensionality reduction. Finally, the hierarchical evaluation system of motor skills is established with the loss functions of different evaluation indexes. The results show that in the recognition of table tennis players' motor skills, the feature-based BP neural network proposed in this paper has higher recognition accuracy and stronger generalization ability than the traditional convolutional neural network.Comment: 34pages, 16figure