The pursuit of wealth maximization is considered to be the greatest driving force of entrepreneurship. However, this economic rational perspective cannot sufficiently answer why potential or continuous entrepreneurs still choose entrepreneurship or even continuous entrepreneurship in the face of high failure rate and tremendous uncertainty. On the basis of the dynamic process of entrepreneurship and the perspective of positive psychology, this study attempts to interpret the sustained motivation mechanism of entrepreneurs. This study uses multiple cases to investigate the emotion, cognition, and behavior of entrepreneurial process. Through NVivo software and emotion dictionary, more than 27,000 micro blogs (Weibo) of six entrepreneurs were analyzed, and the model of positive emotion in entrepreneurial process was constructed. The findings are as follows. (1) In the process of establishing a business, entrepreneurs can persist in a highly uncertain environment by acquiring positive emotions. That is, the motivation of sustainable entrepreneurship originates from the emotion of happiness and satisfaction that entrepreneurs obtain. (2) Positive emotions affect the formation and expansion of key activities of entrepreneurship through cognition and then persist with entrepreneurship. Specifically, positive emotion promotes the formation of entrepreneurial intention by expanding cognitive structure, intuitive processing, and analytical processing to promote the acquisition of entrepreneurial resources and the expansion of entrepreneurial ability. (3) In the process of entrepreneurship, emotional return is a performance dimension parallel to economic return. This conclusion provides a new perspective towards revealing the entrepreneurial motivation of entrepreneurs in highly ambiguous environments.

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BACKGROUND Perineural invasion (PNI), as a key pathological feature of tumor spread, has emerged as an independent prognostic factor in patients with rectal cancer (RC). The preoperative stratification of RC patients according to PNI status is beneficial for individualized treatment and improved prognosis. However, the preoperative evaluation of PNI status is still challenging. AIM To establish a radiomics model for evaluating PNI status preoperatively in RC patients. METHODS This retrospective study enrolled 303 RC patients in a single institution from March 2018 to October 2019. These patients were classified as the training cohort ( n = 242) and validation cohort ( n = 61) at a ratio of 8:2. A large number of intra- and peritumoral radiomics features were extracted from portal venous phase images of computed tomography (CT). After deleting redundant features, we tested different feature selection ( n = 6) and machine-learning ( n = 14) methods to form 84 classifiers. The best performing classifier was then selected to establish Rad-score. Finally, the clinicoradiological model (combined model) was developed by combining Rad-score with clinical factors. These models for predicting PNI were compared using receiver operating characteristic curve (ROC) analysis and area under the ROC curve (AUC). RESULTS One hundred and forty-four of the 303 patients were eventually found to be PNI-positive. Clinical factors including CT-reported T stage (cT), N stage (cN), and carcinoembryonic antigen (CEA) level were independent risk factors for predicting PNI preoperatively. We established Rad-score by logistic regression analysis after selecting features with the L1-based method. The combined model was developed by combining Rad-score with cT, cN, and CEA. The combined model showed good performance to predict PNI status, with an AUC of 0.828 [95% confidence interval (CI): 0.774-0.873] in the training cohort and 0.801 (95%CI: 0.679-0.892) in the validation cohort. For comparison of the models, the combined model achieved a higher AUC than the clinical model (cT + cN + CEA) achieved ( P < 0.001 in the training cohort, and P = 0.045 in the validation cohort). CONCLUSION The combined model incorporating Rad-score and clinical factors can provide an individualized evaluation of PNI status and help clinicians guide individualized treatment of RC patients.

The brain is considered to be an extremely sensitive tissue to hypoxia, and the brain of fish plays an important role in regulating growth and adapting to environmental changes. As an important aquatic organism in northern China, the economic yield of Takifugu rubripes is deeply influenced by the oxygen content of seawater. In this regard, we performed RNA-seq analysis of T. rubripes brains under hypoxia and normoxia to reveal the expression patterns of genes involved in the hypoxic response and their enrichment of metabolic pathways. Studies have shown that carbohydrate, lipid and amino acid metabolism are significant pathways for the enrichment of differentially expressed genes (DEGs) and that DEGs are significantly upregulated in those pathways. In addition, some biological processes such as the immune system and signal transduction, where enrichment is not significant but important, are also discussed. Interestingly, the DEGs associated with those pathways were significantly downregulated or inhibited. The present study reveals the mechanism of hypoxia tolerance in T. rubripes at the transcriptional level and provides a useful resource for studying the energy metabolism mechanism of hypoxia response in this species.

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