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During the freezing, storage, and thawing process, physicochemical changes occur in raw meat, which will inevitably lead to quality deterioration mainly including decreased water-holding capacity and the deterioration of color and texture. The quality deterioration can be effectively reduced by novel freezing and its assistive technologies. This article summarizes the quality deterioration mechanism of raw meat during freezing and frozen storage, and reviews the approaches for improving frozen meat quality, such as novel freezing techniques, cryoprotectants, novel packaging techniques and novel thawing techniques, which will provide a theoretical basis and technical guidance for improving the quality of frozen meat.

Cheng Conglin can be called one of the brightest representatives of the «scar painting» movement, which he, along with other Chinese artists, led at the beginning of his creative career. In the early 1980s, he turned to such a direction as «village realism”, which is characterized by an appeal to the beauty of the surrounding reality, the life and work of peasants. "Village Realism" is also commonly seen as a reaction to the consequences of the Cultural Revolution and as a continuation of "scar painting". Cheng Conglin is currently working actively and productively, creating new modern works that modernize Chinese painting, including traditional painting. This article examines the features of the master’s paintings, examines stages in his creative biography, and studies the methods of his work. The author analyzes the factors that influenced the formation and development of the painter’s style, as well as the influence that Cheng Conglin’s work has had on the development of modern Chinese fine art.

This study aimed to explore the clinical characteristics of acute cerebral infarction (ACI) patients with thalassemia through the analysis of clinical data. Adult patients with ACI who were admitted to the First Affiliated Hospital of Hainan Medical College, the Second Affiliated Hospital of Hainan Medical College, Hainan Provincial People’s Hospital, and the Department of Neurology of Haikou People’s Hospital from January 2008 to December 2018 were enrolled. According to the eligibility criteria, 183 ACI patients were examined, of whom there were 33 cases with thalassemia, 50 cases with iron-deficiency anemia (IDA), and 100 non-anemic cases. Laboratory data, including platelet count, homocysteine count, and hemoglobin level, were collected. Besides, the results of auxiliary examinations, such as brain magnetic resonance imaging or computed tomography, carotid ultrasound, electrocardiogram, and cardiac color ultrasound, were collected. Baseline clinical data (e.g., history of smoking and drinking) were acquired. The clinical characteristics were compared and analyzed among the three groups. There were more female ACI patients with thalassemia than male ones. Furthermore, lesions in the thalassemia and IDA groups were mainly located in the region from the corona radiata and the centrum semiovale, in which multiple small infarcts were dominant. In the non-anemia group, patients’ lesions were mainly found in the basal ganglia area, and single small infarcts had the highest proportion.

In this paper, a performance optimization model for sportswear based on the learning curve effect is proposed on the learning curve base model, which is a systematic method for improving and optimizing sportswear’s comfort performance and sports functionality compared with the traditional model. Laplace’s law measurement method is used to predict the garment comfort pressure in terms of comfort measurement. The finite element method was used to analyze the sports apparel’s functionality. The results show that the most obvious deformation under the pressure of sportswear occurs in the middle section of the inner thigh, with a maximum value of 1.786E-002mm and a mean square error of 3.0875×10−14 .The research findings of this paper can serve as a reference for sportswear designers and manufacturers and encourage the development and innovation of the sportswear industry.

The service conditions of rubber seals are primarily in the dynamic sliding state, with a high coefficient of friction, which can seriously compromise the equipment’s safety and the services’ lifespan. Diamond-like carbon (DLC) films have been the ideal candidate for tribological modification of rubber surfaces due to their excellent tribological properties over the last two decades. This field can be widely discussed as a hard film on soft substrates, where the challenge is the mismatch of mechanical properties, leading to the exfoliation of DLC films in friction. Early work developed the DLC films with a segment structure to solve this critical issue, illustrating the possibility of wear-resistant rubber. In recent years, researchers have paid attention to further increasing the coated rubber’s lifetime in friction, focusing on adhesion. These research achievements were reviewed on the aspects of structurization, adhesion, and doping in this article. It proposed an alternative direction of understanding the surface wear mechanism for designing wear-resistant DLC films on rubber.

The development of electric vehicles (EV) is constrained by factors such as the spatial distribution and planning volume of charging infrastructure. In order to determine the planning volume of charging piles in charging stations and the spatial layout of charging infrastructure service area within the service radius of Tianjin, this paper firstly determines the service area demand based on the service radius, combined with the demand prediction function and the EV ownership, and secondly forms the charging infrastructure service area with the central place theory large spatial layout, and finally determine the planning volume of charging infrastructure through queuing service system. The research results can provide a new theoretical basis for the layout planning of charging infrastructure, and finally put forward the relevant factors and development trends for the optimal layout of charging facilities.

To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells. In this study, we propose a bidirectional self-recurrent neural network model based on an attention mechanism. The model divides the HRRP data in the time domain into two sequences, i.e., forward and backward using a sliding window, then extracts the features through two independent GRU networks, and splices the extracted features simultaneously, thus utilizing the bidirectional temporal information of HRRP. Considering that sequences at different moments have different degrees of importance to the target classification, different attention weights are assigned to the hidden layer features at each moment. Finally, the model uses the hidden features weighted summation to obtain target recognition and classification result. Experimental results show that the proposed method can effectively solve the target recognition problem of HRRP, and that the target area can still be accurately identified when the time shift occurs.

Mn3Zn0.5Sn0.5N/Al composites were successfully prepared by sintering at 623 K and 723 K. It is found that the thermal expansion of Al is effectively decreased with the addition of negative thermal expansion material Mn3Zn0.5Sn0.5N, which plays the role of the thermal expansion compensator in the composite system. The thermal expansion of composites can be tailored by adjusting the volume fraction of Mn3Zn0.5Sn0.5N. In particular, 40 vol.%-Mn3Zn0.5Sn0.5N/Al composite sintered at 723 K has a low thermal expansion coefficient of 2.38×10−6 K−1. The thermal expansion of Mn3Zn0.5Sn0.5N/Al composites matches well with those calculated from the rule of mixture (ROM) estimation. The ROM model can be used to predict the thermal expansion of Mn3Zn0.5Sn0.5N/Al composite and design Mn3Zn0.5Sn0.5N/Al composite with a particular thermal expansion. Mn3Zn0.5Sn0.5N/Al composites exhibit excellent electrical conductivities at the level of 104 S/cm. The hardness of the as-prepared composites increases by adding Mn3Zn0.5Sn0.5N in Al.

This article reports on a cross-linguistic study of 58 Chinese students’ perception of voiced and voiceless stops in their third language (L3). The participants were Japanese, Russian, or Spanish major students in a Chinese university, who were beginner learners of these languages but who had all learned English as their second language (L2) for over 10 years. The purpose of this study was to investigate the L3 learners’ perceptual differences in the stop categories, and analyze the effects of the learners’ multi-language background on their perception of L3 stops. Results from the perception experiment showed that: 1) the value and range of voice onset time (VOT) play an essential role in Chinese students’ perception of voiceless stops; and 2) the pre-voicing during closure is the key to Chinese students’ perception of voiced stops. We attribute their difficulty in perceiving L3 voiceless stops to the similarity in the phonemic range of voiceless stops between the learners’ L3 and their L1 and L2, as this leads to confusion in perception. On the other hand, the dissimilarity between L3 voiced stops and those of L1 and L2 is conducive to the students’ perception of L3 voiced stops. Findings from this study provide empirical evidence for the effect of similarity and dissimilarity in speech sounds as proposed in earlier phonology acquisition theories, and they can also inform the pedagogy of multi-language education.