Would Monetary Incentives to COVID-19 vaccination reduce motivation?

Some people did not get the COVID-19 vaccine even though it was offered at no cost. A monetary incentive might lead people to vaccinate, although existing studies have provided different findings about this effect. We investigate how monetary incentives differ according to individual characteristics. Using panel data with online experiments, we found that (1) subsidies reduced vaccine intention but increased it after controlling heterogeneity; (2) the stronger the social image against the vaccination, the lower the monetary incentive; and (3) persistently unvaccinated people would intend to be vaccinated only if a large subsidy was provided

Firm- specific human capital in different market conditions: evidence from the Japanese football league

This paper examined how meeting the team-specific human capital is important in a football player’s performance by comparing the top two league teams. From panel data of the Japan Professional Football League, we find that changing the team reduced a player’s performance and that the team’s performance improved as each player’s tenure in the team increased, the returns from team-specific skills over time increased and then decreased as the years passed, the benefit from moving to a new team depends on the timing of moving, and neither tenure in the team nor experience affects a professional football player’s performance

Altruistic and selfish motivations of charitable giving: The case of the hometown tax donation system (Furusato nozei) in Japan

This study analyzes the altruistic and selfish motivations of charitable giving in the context of Japan’s hometown tax donation system, whereby people can donate to municipalities where they do not live and receive reciprocal gifts, using local government-level panel data for 2008–2015. We find that the Great East Japan earthquake led to an increase in donations through the system for municipalities with disaster victims, reflecting altruistic motivation. Furthermore, a 1% increase in gift expenditure for donors leads to 0.61% increase in donations, suggesting selfish motivation. Gift provision reduces altruistic donation by nearly 300%, compared with no such provision

Altruistic and selfish motivations of charitable giving: The case of the hometown tax donation system (Furusato nozei) in Japan

This study analyzes the altruistic and selfish motivations of charitable giving in the context of Japan’s hometown tax donation system, whereby people can donate to municipalities where they do not live and receive reciprocal gifts, using local government-level panel data for 2008–2015. We find that the Great East Japan earthquake led to an increase in donations through the system for municipalities with disaster victims, reflecting altruistic motivation. Furthermore, a 1% increase in gift expenditure for donors leads to 0.61% increase in donations, suggesting selfish motivation. Gift provision reduces altruistic donation by nearly 300%, compared with no such provision

Enhanced diagnostic accuracy for quantitative bone scan using an artificial neural network system: A Japanese multi-center database project

Background Artificial neural network (ANN)-based bone scan index (BSI), a marker of the amount of bone metastasis, has been shown to enhance diagnostic accuracy and reproducibility but is potentially affected by training databases. The aims of this study were to revise the software using a large number of Japanese databases and to validate its diagnostic accuracy compared with the original Swedish training database. Methods The BSI was calculated with EXINIbone (EB; EXINI Diagnostics) using the Swedish training database (n = 789). The software using Japanese training databases from a single institution (BONENAVI version 1, BN1, n = 904) and the revised version from nine institutions (version 2, BN2, n = 1,532) were compared. The diagnostic accuracy was validated with another 503 multi-center bone scans including patients with prostate (n = 207), breast (n = 166), and other cancer types. The ANN value (probability of abnormality) and BSI were calculated. Receiver operating characteristic (ROC) and net reclassification improvement (NRI) analyses were performed. Results The ROC analysis based on the ANN value showed significant improvement from EB to BN1 and BN2. In men (n = 296), the area under the curve (AUC) was 0.877 for EB, 0.912 for BN1 (p = not significant (ns) vs. EB) and 0.934 for BN2 (p = 0.007 vs. EB). In women (n = 207), the AUC was 0.831 for EB, 0.910 for BN1 (p = 0.016 vs. EB), and 0.932 for BN2 (p < 0.0001 vs. EB). The optimum sensitivity and specificity based on BN2 was 90% and 84% for men and 93% and 85% for women. In patients with prostate cancer, the AUC was equally high with EB, BN1, and BN2 (0.939, 0.949, and 0.957, p = ns). In patients with breast cancer, the AUC was improved from EB (0.847) to BN1 (0.910, p = ns) and BN2 (0.924, p = 0.039). The NRI using ANN between EB and BN1 was 17.7% (p = 0.0042), and that between EB and BN2 was 29.6% (p < 0.0001). With respect to BSI, the NRI analysis showed downward reclassification with total NRI of 31.9% (p < 0.0001). Conclusion In the software for calculating BSI, the multi-institutional database significantly improved identification of bone metastasis compared with the original database, indicating the importance of a sufficient number of training databases including various types of cancers. © 2013 Nakajima et al

Identification of 45 New Neutron-Rich Isotopes Produced by In-Flight Fission of a 238U Beam at 345 MeV/nucleon

A search for new isotopes using in-flight fission of a 345 MeV/nucleon 238U beam has been carried out at the RI Beam Factory at the RIKEN Nishina Center. Fission fragments were analyzed and identified by using the superconducting in-flight separator BigRIPS. We observed 45 new neutron-rich isotopes: 71Mn, 73,74Fe, 76Co, 79Ni, 81,82Cu, 84,85Zn, 87Ga, 90Ge, 95Se, 98Br, 101Kr, 103Rb, 106,107Sr, 108,109Y, 111,112Zr, 114,115Nb, 115,116,117Mo, 119,120Tc, 121,122,123,124Ru, 123,124,125,126Rh, 127,128Pd, 133Cd, 138Sn, 140Sb, 143Te, 145I, 148Xe, and 152Ba