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Diffuse large B cell lymphoma (DLBCL), an aggressive cancer of the B cells, is the most common subtype of non-Hodgkin lymphoma (NHL) worldwide. In China, the cases of DLBCL increase yearly. C-X-C chemokine receptor 4 (CXCR4) has been implicated in the migration and trafficking of malignant B cells in several hematological malignancies, and only a few reports have been published on the role of CXCR4 in the metastasis of DLBCL. This review summarizes the relevant perspectives on the functional mechanism, prognostic significance, and therapeutic applications of the CXCL12/CXCR4 axis in DLBCL, in particular DLBCL with bone marrow involvement. [ABSTRACT FROM AUTHOR]

Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores.Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores.Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution.Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively.Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises.Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness.Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable. [ABSTRACT FROM AUTHOR]

This study uses eye-tracking method to investigate consumers' online review search behavior by suggesting that it needs to consider the type of product reviewed. A review-product congruity proposition was testified through a self-report survey and an eye-tracking experiment. The proposition states that consumers of search products expect to seek attribute based reviews, while consumers shopping for experience products tend to seek experience based reviews. Two experiments were conducted in the human factors & ergonomics laboratory of Beihang University, China and all subjects are college students. The results of our first empirical experiment support our hypotheses by showing consumers' more active and positive responses to attribute based reviews when shopping for search products and to experience based reviews when purchasing experience products. The second experiment was conducted with eye tracking method to gain further insights. We found that consumers of search products are attracted and engaged more deeply by attribute based reviews. However, when they browse experience products, the difference of their fixations on experience based reviews and attribute based reviews is not significant, and thus the proposition is partially supported. This study extends our current understanding of consumers' online review search behavior by subsuming product type, which is necessary and helpful, and provides references on the classification and presentation of reviews to facilitate consumers' product judgement and decision making. Moreover, comparison of traditional empirical method and eye-tracking method can help deepen our understanding of complex consumer online shopping behavior. [ABSTRACT FROM AUTHOR]

• Identifying sample sizes and effect of species traits on model predictability are important for SDM applications. • RF was robust in limited abundance data, yielding acceptable predictions of species abundance at 40 sample sites. • Migratory behavior, body size, lifespan and feeding mode substantially influenced the predictability of RF. • The results may provide guidance for the applications of RFs in predicting the abundance distribution of fish species. The random forest (RF) model is a powerful machine learning technique that has been increasingly used for species distribution modeling (SDM) by ecologists and fisheries scientists given various threats to marine habitats and biodiversity. However, the observations for model training are often constrained by limited surveys and financial resources. Under these circumstances, identifying the appropriate sample size for modeling is important for successful predictions. In addition, species with different biological characteristics present various challenges for SDM, which needs to be considered when evaluating model performance. We built and evaluated RF models for 21 marine demersal species using catch data and environmental variables collected during a bottom trawl survey in the coastal waters of Shandong Peninsula, China. The predictive performances of the RF models were evaluated for eight sample sizes using cross validation, in which a range of 10–80 sample sites were used to train the model. The resulting predictive performance was examined for a range of biological and behavioral traits. For most species, the predictive performance of the RF model was substantially improved when the sample size increased from 10 to 30 sites, but less improvement was evident with larger datasets. An ANOVA identified significant influences of migratory behavior, lifespan, body size, feeding mode and prevalence on the model predictability, whereas the effects of trophic level and taxon were insignificant, as were the interactions between the sample size and species traits. The abundance distributions could be better predicted for benthivores, and species with short migratory distances, short lifespans, and small body sizes, and for each species trait, the variation in the relative predictive performances of the trait categorical groups was generally consistent among sample sizes and performance metrics. Our study may contribute to an improved understanding of successful SDM and provide guidance for the application of RF models to predict the abundance distributions of fish species. [ABSTRACT FROM AUTHOR]

Theoretical predictions on the impact of environmental regulations on firm value in stock market are inconclusive. This paper examines whether and how stock market reacts to environmental regulations in China. We find that overall market-wide reactions are inconclusive while the cross-sectional tests show that stocks in polluting industries significantly and robustly underperform other stocks. Moreover, the worsening effect of environmental regulations on firm value is more pronounced among firms without political connections and firms located in rons with more effective judicial enforcement as the investors expect that these regulations will be effectively enforced. Our results show that China's green campaign does have value implications for stock markets. • China's Air Pollution Prevention and Control Action Plan affects shareholder value. • High-polluting stocks significantly underperform low-polluting stocks. • Stocks without political connections in high-polluting industries show lower returns. • Better judicial enforcement makes the differences in shareholder value stronger. [ABSTRACT FROM AUTHOR]

Osteogenesis imperfecta (OI) is a group of genetic disorders characterized mainly by fractures and bone deformities. It has been established that gene mutations, particularly those in COL1A1 and COL1A2, account for most phenotypes. Here, we generated an induced pluripotent stem cells (iPSCs) line named SMBCi014-A using urine cells (UCs) derived from a 15-year-old female OI type I patient who carried the frame-shift mutation of the COL1A1 gene (exon35:c.2450delC:p.P817fs). The patient had a family history of mild fractures and a blue sclera. Therefore, our study established a patient-derived site-specific cellular model of OI to better understand the osteogenic mechanism., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Mutations in the neurofibromin (NF1) gene cause neurofibromatosis type 1 (NF1), a complex tumour predisposition syndrome. Here, we generated two induced pluripotent stem cell (iPSC) lines using urine cells (UCs) derived from a 21-year-old female NF1 patient carrying c.496_497delGT mutation in the NF1 gene (p.Val166LeufsTer7). The newly derived SMBCi003-A and SMBCi003-B iPSC lines used as a cellular model to unravel pathogenesis of NF1., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Mobile health (mHealth) is becoming more popular as a way of sharing medical information. For the patient, it saves time, reduces the need for travel, reduces the cost of searching for information, and brings medical services "to your fingertips." However, it also brings information overload and makes the patient's choice of physician more difficult., Objective: This study aimed to identify the types of physician information that play a key role in patients' choice of physician and to explore the mechanism by which this information contributes to this choice., Methods: Based on the stimulus-organism-response (SOR) model and online trust theory, we proposed a research model to explain the influence of physician information on patients' choice of physician. The model was based on cognitive trust and affective trust and considered the moderating role of patient expertise. Study 1 was an eye-tracking experiment (n=42) to identify key factors affecting patients' choice of physician. Study 2 was a questionnaire study (n=272); Partial Least Squares Structural Equation Modeling was used to validate the research model., Results: The results of Study 1 revealed that seven types of physician information played a key role in patients' choice of physician. The results of Study 2 revealed that (1) physicians' profile photo information affected patients' choice of physician by positively influencing affective trust (P<.001); (2) physicians' nonprofile photo information affected patients' choice of physician by positively influencing cognitive trust (P<.001); (3) patient-generated information affected patients' choice of physician by positively affecting cognitive trust (P<.001) and affective trust (P<.001), and patient expertise played a positive moderating role on both (P=.04 and P=.01, respectively); and (4) cognitive trust and affective trust both positively affected patients' choice of physician, with affective trust playing a more significant role (P<.001 and P<.001, respectively)., Conclusions: Seven types of physician information were mainly used by patients when choosing physicians offering mHealth services; trust played an important role in this choice. In addition, the level of patient expertise was an important variable in moderating the influence of physician information and patients' trust. This paper supports the theoretical basis of information selection and processing by patients. These findings can help guide app developers in the construction of medical apps and in the management of physician information in order to facilitate patients' choice of physician., (©Wei Shan, Ying Wang, Jing Luan, Pengfei Tang. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 23.10.2019.)

Background: A few studies have evaluated the expression of chemokine receptors CXCR4 and CCR7 in diffuse large B-cell lymphoma (DLBCL); however, the association between CXCR4 and CCR7 with bone marrow (BM) involvement and their synergistic effect on prognosis is still unclear. Our study investigated this aspect., Methods: Specimens were obtained from 61 primary nodal DLBCL patients and 100 reactive proliferative lymphadenitis patients. CXCR4 and CCR7 expression levels were examined by immunohistochemical staining; the relationship between these levels and clinical parameters and the differences in overall survival were analyzed., Results: CXCR4 and CCR7 overexpression was observed in the malignant lymph node tissues from most DLBCL patients. CCR7 expression was significantly higher in the non-GCB than the GCB subtype; CXCR4 positivity rates showed no significant difference between the 2 subtypes. In DLBCL patients with BM involvement, CXCR4 was overexpressed in almost all BM samples, but CCR7 expression was low in BM. CXCR4 overexpression was associated with advanced Ann Arbor stages, MYC overexpression, and increased extranodal infiltration; CCR7 was associated with advanced Ann Arbor stages and elevated LDH. Like the case for CCR7, the survival rate of CXCR4-positive DLBCL patients was significantly lower than that of the CXCR4-negative patients. CXCR4 + CCR7 + patients had the lowest survival rate., Conclusions: There is a positive correlation between CXCR4 overexpression and BM involvement. CXCR4 and CCR7 overexpression is associated with poorer overall survival, especially in CXCR4 and CCR7 copositive patients. CXCR4, CCR7, Ki-67 index, and MYC were independent prognostic factors for DLBCL. Blocking CXCR4 and/or CCR7 can be a novel therapeutic strategy for DLBCL., (Copyright © 2019. Published by Elsevier Inc.)

Crab species are economically and ecologically important in coastal ecosystems, and their spatial distributions are pivotal for conservation and fisheries management. This study was focused on modelling the spatial distributions of three Portunidae crabs (Charybdis bimaculata, Charybdis japonica, and Portunus trituberculatus) in Haizhou Bay, China. We applied three analytical approaches (Generalized additive model (GAM), random forest (RF), and artificial neural network (ANN)) to spring and fall bottom trawl survey data (2011, 2013-2016) to develop and compare species distribution models (SDMs). Model predictability was evaluated using cross-validation based on the observed species distribution. Results showed that sea bottom temperature (SBT), sea bottom salinity (SBS), and sediment type were the most important factors affecting crab distributions. The relative importance of candidate variables was not consistent among species, season, or model. In general, we found ANNs to have less stability than both RFs and GAMs. GAMs overall yielded the least complex response curve structure. C. japonica was more pronounced in southwestern portion of Haizhou Bay, and C. bimaculata tended to stay in offshore areas. P. trituberculatus was the least region-specific and exhibited substantial annual variations in abundance. The comparison of multiple SDMs was informative to understand species responses to environmental factors and predict species distributions. This study contributes to better understanding the environmental niches of crabs and demonstrates best practices for the application of SDMs for management and conservation planning., Competing Interests: The authors have declared that no competing interests exist.

Element fingerprints were deciphered for Fritillaria thunbergii from Chinese ten major fritillaria-producing regions for the purpose of examining differences in element composition with region of origin and identifying elements' importance to F. thunbergii. Analysis by inductively coupled plasma optical emission spectrometry allowed simultaneous determination of 18 elements in F. thunbergii (Al, B, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Na, Mn, Mo, S, Ni, P, Pb, and Zn), and patterns in element concentrations were deciphered by principle component analysis (PCA) and hierarchical cluster analysis (HCA). The element fingerprint was established which well reflected the element characteristics of F. thunbergii. Meanwhile, the ten regions were discriminated with 100% accuracy using HCA and PCA based on 18 of these elements. The element Mg, Ca, K, B, P, Mo, Na, Cd, Ni, and Al were viewed as the characteristic element of F. thunbergii, and the fingerprint of these elements could be used to distinguish the authenticity of F. thunbergii Miq.