Mechanism design with collusive supervision: a three-tier agency model with a continuum of types

We apply the "Monotone Comparative Statics" method ala Topkis (1978), Edlin and Shannon (1998), and Milgrom and Segal (2002)'s generalized envelope theorem to the three-tier agency model with hidden information and collusion ala Tirole (1986, 1992), thereby provide a framework that can address the issues treated in the existing literature, e.g., Kofman and Lawarree (1993)''s auditing application, in a much simpler fashion. In addition to such a technical contribution, the paper derives some clear and robust implication applicable to corporate governance reform (Propositions 1 (2) and 3).

反芻動物における肝臓由来内分泌因子ANGPTL8およびChemerinの生理的機能に関する研究

要約のみTohoku University盧尚建課

Coupling of capillary RBC flow failure with neuronal depolarization

RBC (oxygen-carrier) behaviour in the cerebrocortical microvasculature during K^+^-induced cortical spreading depression (CSD) was examined in urethane-anesthetized male Wistar rats (n=10). The movements of FITC-labeled RBCs in single capillaries in the cortical region were traced with a high-speed camera laser scanning confocal fluorescence microscope and analyzed with Matlab domain software, KEIO-IS2, to obtain the velocities of all labeled RBCs appearing in local capillaries during CSD wave propagation. We found that CSD induced periodic decreases in both RBC number and velocity until RBCs halted or disappeared for 3.3 +/- 2.3 s, and then RBC flow was restored. The RBC flow stall was statistically significant (P < 0.05). During capillary flow failure in association with CSD spread, systemic arterial blood pressure remained unchanged. We conclude that RBCs are transiently sieved and stalled in capillaries during neuronal depolarization, and we suggest that this neuro-capillary coupling involves a hemorheological (viscosity-related) mechanism

Drive Video Analysis for the Detection of Traffic Near-Miss Incidents

Because of their recent introduction, self-driving cars and advanced driver assistance system (ADAS) equipped vehicles have had little opportunity to learn, the dangerous traffic (including near-miss incident) scenarios that provide normal drivers with strong motivation to drive safely. Accordingly, as a means of providing learning depth, this paper presents a novel traffic database that contains information on a large number of traffic near-miss incidents that were obtained by mounting driving recorders in more than 100 taxis over the course of a decade. The study makes the following two main contributions: (i) In order to assist automated systems in detecting near-miss incidents based on database instances, we created a large-scale traffic near-miss incident database (NIDB) that consists of video clip of dangerous events captured by monocular driving recorders. (ii) To illustrate the applicability of NIDB traffic near-miss incidents, we provide two primary database-related improvements: parameter fine-tuning using various near-miss scenes from NIDB, and foreground/background separation into motion representation. Then, using our new database in conjunction with a monocular driving recorder, we developed a near-miss recognition method that provides automated systems with a performance level that is comparable to a human-level understanding of near-miss incidents (64.5% vs. 68.4% at near-miss recognition, 61.3% vs. 78.7% at near-miss detection).Comment: Accepted to ICRA 201

Re-calibration of SDF/SXDS Photometric Catalogs of Suprime-Cam with SDSS Data Release 8

We present photometric recalibration of the Subaru Deep Field (SDF) and Subaru/XMM-Newton Deep Survey (SXDS). Recently, Yamanoi et al. (2012) suggested the existence of a discrepancy between the SDF and SXDS catalogs. We have used the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8) catalog and compared stars in common between SDF/SXDS and SDSS. We confirmed that there exists a 0.12 mag offset in B-band between the SDF and SXDS catalogs. Moreover, we found that significant zero point offsets in i-band (~ 0.10 mag) and z-band (~ 0.14 mag) need to be introduced to the SDF/SXDS catalogs to make it consistent with the SDSS catalog. We report the measured zero point offsets of five filter bands of SDF/SXDS catalogs. We studied the potential cause of these offsets, but the origins are yet to be understood.Comment: 36 pages, 19 figures(128 EPS files), PASJ accepte

Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function

Traditional algorithms of point set registration minimizing point-to-plane distances often achieve a better estimation of rigid transformation than those minimizing point-to-point distances. Nevertheless, recent deep-learning-based methods minimize the point-to-point distances. In contrast to these methods, this paper proposes the first deep-learning-based approach to point-to-plane registration. A challenging part of this problem is that a typical solution for point-to-plane registration requires an iterative process of accumulating small transformations obtained by minimizing a linearized energy function. The iteration significantly increases the size of the computation graph needed for backpropagation and can slow down both forward and backward network evaluations. To solve this problem, we consider the estimated rigid transformation as a function of input point clouds and derive its analytic gradients using the implicit function theorem. The analytic gradient that we introduce is independent of how the error minimizing function (i.e., the rigid transformation) is obtained, thus allowing us to calculate both the rigid transformation and its gradient efficiently. We implement the proposed point-to-plane registration module over several previous methods that minimize point-to-point distances and demonstrate that the extensions outperform the base methods even with point clouds with noise and low-quality point normals estimated with local point distributions.Comment: 25 pages, 10 figure