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This study chooses Chinese athletes as the research object and constructs the overall network of its social support network and discussion network. From the micro-, meso-, and macrolevels of the social network structure, the structure and characteristics of the athlete’s overall social network are analyzed. Through research, we found that there is embeddedness, that is, the relevance, between society support networks, between society discussion networks, and between society support networks and society discussion networks. At the same time, in the athletes’ social support network and social discussion network, some athletes have no contact with other players; they have no “power” in the group as well, so it is difficult to obtain network resources. We also found that there are small-world characteristics in the social network of Chinese professional athletes. The above findings will provide a deeper understanding of the peculiarities of athlete groups and have certain practical significance for improving athletes’ daily training and life management conditions.

The aim of the present study was to characterize DLBCL of BCR distributions, and to screen specific BCR features as potential indicators related to DLBCL prognosis. A total of 13 patients with DLBCL and 5 healthy individuals were enrolled in the present study. In total, two high throughput sequencing methods, BCR repertoire and WES, were used to reveal BCR distributions and gene mutations, respectively. A series of comprehensive analyses were conducted to identify potential complementarity determining region 3 (CDR3) indicators of DLBCL and to analyze their association with clinical characteristics. The relatively higher BCR diversity in patients with DLBCL was associated with shorter progression-free survival (PFS). In addition, the top 10 differential CDR3s were screened as potential DLBCL indicators, and among these, four CDR3s [immunoglobulin heavy chain IGHV1-8/IGHJ6, IGHV3-74/IGHJ6, IGHV4-39/IGHJ3 and IGHV4-34/IGHJ4] exhibited a close relationship with PFS in patients with DLBCL. In further analysis, IGHV4-34/IGHJ4 and IGHV4-39/IGHJ3 were identified to be directly related to tumor metastasis, and IGHV4-39/IGHJ4 was related to hepatitis B virus (HBV) infection. WES data were used to analyze the gene mutations in patients with DLBCL, indicating that two metastasis pathways (‘focal adhesion’ and ‘ECM-receptor interaction’) were involved in characteristic changes of BCR. In conclusion, BCR diversity and usage of 10 specific CDR3s were identified as potential DLBCL indicators in the present study. Clinically, inflammation and HBV infection were the two main factors associated with changes of BCR characteristics. In terms of the molecular mechanism, BCR distributions were closely associated with metastasis-related pathways.

In this paper, a modification method based on a U-Net convolutional neural network is proposed for the precise fabrication of three-dimensional microstructures using laser direct writing lithography (LDWL). In order to build the correspondence between the exposure intensity distribution data imported to the laser direct writing system and the surface profile data of the actual fabricated microstructure, these two kinds of data are used as training tensors of the U-Net convolutional neural network, which is proved to be capable of generating their accurate mapping relations. By employing such mapping relations to modify the initial designed exposure intensity data of the parabolic and saddle concave micro-lens with an aperture of 24µm×24µm, it is demonstrated that their fabrication precision, characterized by the mean squared error (MSE) and the peak signal-to-noise ratio (PSNR) between the fabricated and the designed microstructure, can be improved significantly. Specifically, the MSE of the parabolic and saddle concave micro-lens decreased from 100 to 17 and 151 to 50, respectively, and the PSNR increased from 22dB to 29dB and 20dB to 25dB, respectively. Furthermore, the effect of laser beam shaping using these two kinds of micro-lens has also been improved considerably. This study provides a new solution for the fabrication of high-precision three-dimensional microstructures by LDWL.

Background The purpose of this study was to construct a new typing model for diffuse large B-cell lymphoma (DLBCL) patients based on the B-cell receptor (BCR) and explore its potential molecular mechanism. Methods BCR repertoire sequencing and whole-exome sequencing were performed on formalin-fixed paraffin-embedded samples from 12 DLBCL patients. Subsequently, a typing model was built with cluster analysis, and prognostic indicators between the two groups were compared to verify the typing model. Then, mutation and bioinformatics analyses were conducted to investigate the potential biomarkers of prognostic differences between the two groups. Results Based on BCR sequencing data, we divided patients into two clusters (cluster 1 and cluster 2); this classification differed from the traditional typing method (GCB and non-GCB), in which cluster 1 included some non-GCB patients. The progression-free survival (PFS), overall survival (OS), metastasis and Shannon diversity index of IGH V-J and survival after chemotherapy were significantly different (P FTSJ3, MAGED2, and ODF3L2 were the specific mutated genes in all patients in cluster 2, and these genes could be considered critical to the different prognoses of the two clusters of DLBCL patients. Conclusion We constructed a new typing model of DLBCL based on BCR repertoire sequencing that can better predict the survival time after chemotherapy. FTSJ3, MAGED2, and ODF3L2 may represent key genes for the difference in prognosis between the two clusters.

A randomly distributed freeform cylindrical microlens (RFCML) is proposed for laser beam reshaping and homogenization. By introducing a freeform surface in the microlens, the optical field can be controlled with the expected distribution with a single interface. With the help of randomly distributed subapertures of the microlens, the diffraction orders of the microstructure are smoothed and the optical field is homogenized in the far field. The theoretical design of the RFCML is carried out, and the influence of the field smoothing with the random coefficient is analyzed. With the optimized results, the device is fabricated with the laser beam direct writing method and demonstrates the excellent property of laser beam homogenization in the device. The experimentally reshaped homogenized line with a full angle of 40 deg is in good accordance with the theoretical results.

8059 Background: Lymphatic system cancer is characterized by high heterogeneity in histology and clinical manifestations, B-cell antigen receptor (BCR) plays a vital role in anti-tumor immune responses. This study aimed to compare the BCR repertoire and identify some specific immune markers for different pathological lymphomas. Methods: 5 pathological types of non-Hodgkin's lymphoma (T-LBL/ALL, PTCL-NOS, B-MCL, B-FL, DLBCL) were collected, with reactive lymph node (RLN) hyperplasia as control. All patients were tested by high-throughput immunohistochemical sequencing (HTS-IR) to analyze the correlation between B-cell immunohistochemistry and clinical indicators, and constructed new strategy typing and overall survival (OS) predicted models for lymphomas. Results: The BCR repertoire had the highest diversity in RLN, followed by T-LBL/ALL, PTCL-NOS, DLBCL, B-MCL and B-FL. The diversity of BCR repertoire and similarity of B cell antigens were higher in B-MCL and B-FL patients. Similar to RLN, T-LBL/ALL and PTCL-NOS had broad and diverse V-J pairs, and rare in B-MCL, B-FL and DLBCL. RLN patients were with the highest average number of amino acids, followed by T-LBL/ALL, DLBCL, PTCL-NOS, B-MCL and B-FL. The expressed amino acid sequencing of ARDLIALDY, ARRPGSFDY, ARDIAGWGAVAGLLGRAYYGMDV, and ARDGPYGGNSVEYFQH were markedly different among 5 groups. Patients tended to recurrence expressed ASLDSSPSGFC, ARGMTTVTTAPNY, ARVPLYDDQNINDV and AGGVGGYDWGSYYFDY (P = 0.01605, 0.02869, and 0.01569), and prone to metastasis with expressions of ARVKEFYGILTGYDY, AHSIIGSSWYNWFDP and VRDGGWQSNNWLGFDV (P = 0.04259, 0.0450 and 0.0481). For all patients, 18 (7 negative, 11 positive) and 12 (10 negative, 2 positive) IGH V-J pairs were respectively associated with lymphoma recurrence and metastasis. The top 3 most significant pairs were IGHV7-4-1_IGHJ4, IGHV3-53_IGHJ5 and IGHV3-7_IGHJ5 bound up with recurrence (P = 0.0019, 0.0020 and 0.0021), and IGHV3-74_IGHJ1, IGHV1-69_IGHJ3 and IGHV1-2_IGHJ1 related to metastasis (P = 0.0022, 0.010 and 0.019). The accuracy of typing model in training and test sets was 78.125% (25/32) and 60% (6/10), respectively. The OS model can predict long (≥ 24 months) or short ( < 24 months) OS. Conclusions: Our study identified new biomarkers, constructed novel lymphoma typing model and OS predicted model based on B cell repertoire. It provides a comprehensive understanding of immune response, and contributes to the diagnosis and prognosis of non-Hodgkin's lymphoma.

The purpose of this paper study is the application of the "Fibonacci sequence" a new perspective and dimension, select five NBA excellent center players performance evaluation, and thus the size and ranking of the performance of the five players. Five players the pros and cons of the career data with the size of the Fibonacci sequence study the performance of players and then compare to see if consistent harmonious Fibonacci sequence of the universe, thus can be extended to other good players in the league performance evaluation, which provide a way for the players performance evaluation.

We present a method to fabricate diffractive optical elements (DOEs) with four phase levels by the Laser Direct Writing technology. One computation method is provided to optimize the step depth, which could improve efficiency of DOEs. The step depth and imaging results demonstrate the fabricated DOEs devices with good optical properties. The effective areas of the DOEs pattern are as large as 49 cm2, which could be replicated easily for mass production applications.