Extracting discriminative features using task-oriented gaze maps measured from observers for personal attribute classification

We discuss how to reveal and use the gaze locations of observers who view pedestrian images for personal attribute classification. Observers look at informative regions when attempting to classify the attributes of pedestrians in images. Thus, we hypothesize that the regions in which observers’ gaze locations are clustered will contain discriminative features for the classifiers of personal attributes. Our method acquires the distribution of gaze locations from several observers while they perform the task of manually classifying each personal attribute. We term this distribution a task-oriented gaze map. To extract discriminative features, we assign large weights to the region with a cluster of gaze locations in the task-oriented gaze map. In our experiments, observers mainly looked at different regions of body parts when classifying each personal attribute. Furthermore, our experiments show that the gaze-based feature extraction method significantly improved the performance of personal attribute classification when combined with a convolutional neural network or metric learning technique

Expression transmission using exaggerated animation for Elfoid

We propose an expression transmission system using a cellular-phone-type teleoperated robot called Elfoid. Elfoid has a soft exterior that provides the look and feel of human skin, and is designed to transmit the speaker's presence to their communication partner using a camera and microphone.To transmit the speaker's presence, Elfoid sends not only the voice of the speaker but also the facial expression captured by the camera. In this research, facial expressions are recognized using a machine learning technique. Elfoid cannot, however, display facial expressions because of its compactness and a lack of sufficiently small actuator motors. To overcome this problem, facial expressions are displayed using Elfoid's head-mounted mobile projector. In an experiment, we built a prototype system and experimentally evaluated its subjective usability

BALB/c-Fcgr2b−/−Pdcd1−/− mouse expressing anti-urothelial antibody is a novel model of autoimmune cystitis

We report the impact of anti-urothelial autoantibody (AUAb) on urinary bladder phenotype in BALB/c mice deficient of the FcγRIIb and PD-1. AUAb was present in serum samples from approximately half of the double-knockout (DKO) mice, as detected by immunofluorescence and immunoblots for urothelial proteins including uroplakin IIIa. The AUAb-positive DKO mice showed degeneration of urothelial plaque and umbrella cells, along with infiltration of inflammatory cells in the suburothelial layer. TNFα and IL-1β were upregulated in the bladder and the urine of AUAb-positive DKO mice. Voiding behavior of mice was analyzed by the Voided Stain on Paper method. 10-week-old and older AUAb-positive DKO mice voided significantly less urine per void than did wild type (WT) mice. Furthermore, administration of the AUAb-containing serum to WT mice significantly reduced their urine volume per void. In summary, this report presents a novel comprehensive mouse model of autoimmune cystitis

Developmental Trajectory of Infant Brain Signal Variability: A Longitudinal Pilot Study

The infant brain shows rapid neural network development that considerably influences cognitive and behavioral abilities in later life. Reportedly, this neural development process can be indexed by estimating neural signal complexity. However, the precise developmental trajectory of brain signal complexity during infancy remains elusive. This study was conducted to ascertain the trajectory of magnetoencephalography (MEG) signal complexity from 2 months to 3 years of age in five infants using multiscale entropy (MSE), which captures signal complexity at multiple temporal scales. Analyses revealed scale-dependent developmental trajectories. Specifically, signal complexity predominantly increased from 5 to 15 months of age at higher temporal scales, whereas the complexity at lower temporal scales was constant across age, except in one infant who showed decreased complexity. Despite a small sample size limiting this study’s power, this is the first report of a longitudinal investigation of changes in brain signal complexity during early infancy and is unique in its application of MSE analysis of longitudinal MEG data during infancy. The results of this pilot study may serve to further our understanding of the longitudinal changes in the neural dynamics of the developing infant brain

Correlation between inflammation state and successful medical cardioversion using bepridil for refractory atrial fibrillation

AbstractBackgroundIt has been reported that inflammation is associated with long-term maintenance of sinus rhythm after electrical cardioversion for non-valvular atrial fibrillation (AF). However, the relation between high-sensitive C-reactive protein (hs-CRP) and the recurrence of AF after medical cardioversion is unknown. On the other hand, bepridil is very effective in restoring sinus rhythm for patients with refractory AF.Methods and resultsIn 119 patients with non-valvular AF lasting >6 months who failed to maintain sinus rhythm after medical cardioversion without bepridil or electrical cardioversion, we prescribed bepridil. We divided our patients into success group who maintained sinus rhythm for at least 6 months using bepridil and failure group, and compared the following parameters, which were measured just before prescription of bepridil, between the two groups: hs-CRP as a marker of inflammation, left ventricular end-diastolic dimension, ejection fraction, and left atrial dimension as echocardiographic markers, and the incidence of dyslipidemia, hypertension, and diabetes mellitus. After the treatment with bepridil, 57 patients converted to sinus rhythm; however, 12 patients among these 57 patients could not maintain sinus rhythm. Therefore, the success group consisted of 45 patients (38%). Univariate analysis revealed that left atrial dimension and the value of hs-CRP were significantly lower and ejection fraction was significantly higher in the success group than the failure group. Multivariate analysis showed that hs-CRP and left atrial dimension were independent factors for AF recurrence.ConclusionsBepridil is effective in restoring sinus rhythm for refractory AF patients. Inflammation, in addition to left atrial dimension, may be associated with successful cardioversion using bepridil

Simultaneous enlargement of SRAM read/write noise margin by controlling virtual ground lines

金沢大学理工研究域電子情報学系The SRAM operating margin in 65nm technology is analyzed. The peak characteristic in the read margin versus the supply voltage was found to be caused by the channel length modulation effect. Controlling the memory cell virtual ground line proved to be effective in enlarging the operating margin simultaneously in the read and the write operations. A simple o ptimum circuit which does not require any dynamic voltage c ontrol is proposed, realizing an improvement in the operating m argin comparable to conventional circuits requiring dynamic voltage control. © 2010 IEEE

A Role of Aromatase in Sjögren Syndrome

Several autoimmune diseases are known to develop in postmenopausal women. However, the mechanism by which estrogen deficiency influences autoimmunity is unknown. Aromatase is a converting enzyme from androgens to estrogens. In the present study, we used female aromatase gene knockout (ArKO) mice as a model of estrogen deficiency to investigate the molecular mechanism that underlies the onset and development of autoimmunity. Histological analyses showed that inflammatory lesions in the lacrimal and salivary glands of ArKO mice increased with age. Adoptive transfer of spleen cells or bone marrow cells from ArKO mice into recombination activating gene 2 knockout mice failed to induce the autoimmune lesions. Expression of mRNA encoding proinflammatory cytokines and monocyte chemotactic protein-1 (MCP-1) increased in white adipose tissue (WAT) of ArKO mice and was significantly higher than that in wild-type mice. Moreover, an increased number of inflammatory M-1 macrophage was observed in WAT of ArKO mice. A significantly increased MCP-1 mRNA expression of the salivary gland tissue in ArKO was found together with adiposity. Furthermore, the autoimmune lesions in a murine model of Sjögren’s syndrome (SS) were exacerbated by administration of an aromatase inhibitor. These results suggest that aromatase may play in a key role in the pathogenesis of SS-like lesions by controlling the target organ and adipose tissue-associated macrophage

Accelerated evaluation method for the SRAM cell write margin using word line voltage shift

An accelerated evaluation method for the SRAM cell write margin is proposed based on the conventional Write Noise Margin (WNM) definition. The WNM is measured under a lower word line voltage than the power supply voltage VDD. A lower word line voltage is used because the access transistor operates in the saturation mode over a wide range of threshold voltage variation. The final WNM at the VDD word line voltage, the Accelerated Write Noise Margin (AWNM), is obtained by shifting the measured WNM at the lower word line voltage. The amount of WNM shift is determined from the WNM dependence on the word line voltage. As a result, the cumulative frequency of the AWNM displays a normal distribution. A normal distribution of the AWNM drastically improves development efficiency, because the write failure probability can be estimated by a small number of samples. Effectiveness of the proposed method is verified using the Monte Carlo simulation. © 2011 IEEE