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BACKGROUND Organ-associated pseudosarcomatous myofibroblastic proliferation (PMP) is a very rare disorder. In the urogenital tract, PMP preferentially involves the urinary bladder; kidney involvement is rare. Here, we report a rare case of PMP with ossification in the lower pole of the kidney, which mimics urothelial carcinoma or an osteogenic tumor. CASE SUMMARY A Chinese man was admitted to our hospital due to intermittent hematuria for more than 1 mo. Enhanced renal computed tomography revealed a mass in the left renal pelvis and upper ureter. The preoperative clinical diagnosis was renal pelvic carcinoma, determined by imaging examination and biopsy. After a standard preparation for surgery, the patient underwent retroperitoneoscopic radical nephroureterectomy. The operative findings were an extensive renal tumor (6 cm × 4.5 cm × 4.5 cm) invading the lower pole of the kidney and upper ureter. The final pathological diagnosis was organ-associated PMP with ossification. After 6-mo follow-up, no recurrence or metastasis was found. CONCLUSION This case of PMP was unusual for its mimicking renal pelvic carcinoma in imaging examinations, making biopsy necessary.

Herd behavior has been studied in a wide range of areas, such as fashion, online purchasing, and stock trading. However, to date, little attention has been paid to the herd behavior in online Peer-to-Peer lending market. With a decision tree, we model the formation of herding when decision makers with heterogeneous preferences are facing costly information acquiring and analyzing. Data from Prosper.com provides us with a good opportunity to explore empirical evidences for herd behavior. When herd behavior arises, individuals follow the behaviors of other people and generally ignore their own information which might cost them too much to obtain or analyze. Following this idea, we propose to detect herd behavior by focusing on investors' decision-making time variation. We observed that friend bids and bid counts impose significant effects on the decision-making time of investors, which is considered as the evidence of herding. We also conduct empirical analyses to address the impact of herd behavior on an individual's benefit. We reveal that lenders are more likely to herd on listings with more bids and friend bid, but their benefit will be reduced as the consequence of the behavior.

Introduction Since 2015 is the year of FinTech in Taiwan, it is worth investigating the challenges that emerged when banks were encouraged to invest in FinTech companies for collaboration. This study aims to identify the strategic considerations in the process of searching for FinTech investment targets. Case description This study used a case study investigation of a top-5 bank in Taiwan. The major data sources include the meeting notes of the FinTech investment task force and interviews with the team members. Co-opetition theory was adopted as the theoretical framework and interview questions were derived from the PARTS strategies in co-petition theory. The results relate to: (1) the strategic goals of FinTech investment, (2) the added value from FinTech companies, (3) criteria in selecting candidates in the same FinTech area, (4) choosing to work as either a cooperator or a competitor, and (5) barriers from policies and regulations. Discussion and evaluation This study has several findings: (1) regulations and policies shape FinTech’s development; (2) banks, technology companies, and customers are not “FinTech ready;” (3) Compare top-down with bottom up strategies; (4) banks and FinTech companies have complex relationships; (5) it is unlikely that Taiwan will produce FinTech disruptors in the near future. Conclusion The findings and discussion can benefit researchers and administrators in finance-related industries. More studies are desired to observe long-term development in terms of how companies collaborate or compete in specific FinTech areas.