A Fast Content-Based Image Retrieval Method Using Deep Visual Features

Fast and scalable Content-Based Image Retrieval using visual features is required for document analysis, Medical image analysis, etc. in the present age. Convolutional Neural Network (CNN) activations as features achieved their outstanding performance in this area. Deep Convolutional representations using the softmax function in the output layer are also ones among visual features. However, almost all the image retrieval systems hold their index of visual features on main memory in order to high responsiveness, limiting their applicability for big data applications. In this paper, we propose a fast calculation method of cosine similarity with L2 norm indexed in advance on Elasticsearch. We evaluate our approach with ImageNet Dataset and VGG-16 pre-trained model. The evaluation results show the effectiveness and efficiency of our proposed method.Comment: accepted in ICDAR-WML: The 2nd International Workshop on Machine Learning 201

Regulatory T cells in melanoma revisited by a computational clustering of FOXP3+ T cell subpopulations

CD4+ T cells that express the transcription factor FOXP3 (FOXP3+ T cells) are commonly regarded as immunosuppressive regulatory T cells (Treg). FOXP3+ T cells are reported to be increased in tumour-bearing patients or animals, and considered to suppress anti-tumour immunity, but the evidence is often contradictory. In addition, accumulating evidence indicates that FOXP3 is induced by antigenic stimulation, and that some non-Treg FOXP3+ T cells, especially memory-phenotype FOXP3low cells, produce proinflammatory cytokines. Accordingly, the subclassification of FOXP3+ T cells is fundamental for revealing the significance of FOXP3+ T cells in tumour immunity, but the arbitrariness and complexity of manual gating have complicated the issue. Here we report a computational method to automatically identify and classify FOXP3+ T cells into subsets using clustering algorithms. By analysing flow cytometric data of melanoma patients, the proposed method showed that the FOXP3+ subpopulation that had relatively high FOXP3, CD45RO, and CD25 expressions was increased in melanoma patients, whereas manual gating did not produce significant results on the FOXP3+ subpopulations. Interestingly, the computationally-identified FOXP3+ subpopulation included not only classical FOXP3high Treg but also memory-phenotype FOXP3low cells by manual gating. Furthermore, the proposed method successfully analysed an independent dataset, showing that the same FOXP3+ subpopulation was increased in melanoma patients, validating the method. Collectively, the proposed method successfully captured an important feature of melanoma without relying on the existing criteria of FOXP3+ T cells, revealing a hidden association between the T cell profile and melanoma, and providing new insights into FOXP3+ T cells and Treg

Tsunami generation by horizontal displacement of ocean bottom

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95068/1/grl9126.pd

Balance of Autonomic Nervous Activity, Exercise, and Sleep Status in Older Adults : A Review of the Literature

While older people are frequently known to experience sleep disturbances, there are also many older people who have a good quality of sleep. However, little is known about the balance of autonomic nervous activity, exercise habits, and sleep status in healthy older adults. This study reviews the literature regarding balance of the autonomic nervous activity, exercise, and sleep in healthy older adults. Relevant articles were searched from electronic databases using the combination of the following keywords: “Autonomic nervous activity”, “sleep status”, “sleep”, “healthy older adults”, “aging”, “heart rate variability (HRV)” and “exercise”. Articles were included if they met inclusion criteria: (1) Published in English, (2) Article types: research and review articles, (3) Main outcome was related to the autonomic nervous activity, lifestyle, sleep, and/or healthy aging, and (4) Fully accessed. From 877 articles that were identified, 16 articles were included for review. Results showed that the autonomic nervous activity changes with increasing age, particularly a constant decline in cardiac vagal modulation due to the significant decrease in the nocturnal parasympathetic activity. In addition, the autonomic nervous activity was also related to sleep status and lifestyle, particularly the capability to exercise. In preparing older people toward a healthy aging, maintaining good sleep quality and exercise is suggested

主成分分析によるストレングス志向の比較

The purpose of this study was to compare the strengths-oriented attitude among psychiatric nurses（PNs）, psychiatric social workers（PSWs）and occupational therapists（OTs）working at psychiatric hospitals using principal component analysis. Survey subjects were ８９９ PNs, １００ PSWs and ９０ OTs employed at １７ psychiatric hospitals in Japan who consented to participate in the study. The self-administered questionnaire was mailed and returned between from October ２０１３ to January ２０１４. The subjects’ strengths-oriented attitude was evaluated using the Strengths-Oriented Attitude Inventory（SOAI）developed by the authors based on the work by Rapp and Goscha. The loading of the primary ingredient of the SOAI was compared by Principal Component analysis among occupations. A common strengths-oriented attitude of PNs, PSWs, and OTs was the assessment for psychiatric inpatients’ social life, the ability to perform activities of daily life （ADL）, mental status, and taking care and therapeutic intervention. Especially, in the differences of characteristics depending on the specialty, PNs focus on physical health, PSWs emphasize economics and housing, and OTs emphasis on functional recovery of their ADL. Differences in strength-oriented attitudes have shown the commonality and specialty of each healthcare provider