175 research outputs found

    Probing the Cosmic X-ray and MeV Gamma-ray Background Radiation through the Anisotropy

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    While the cosmic soft X-ray background is very likely to originate from individual Seyfert galaxies, the origin of the cosmic hard X-ray and MeV gamma-ray background is not fully understood. It is expected that Seyferts including Compton thick population may explain the cosmic hard X-ray background. At MeV energy range, Seyferts having non-thermal electrons in coronae above accretion disks or MeV blazars may explain the background radiation. We propose that future measurements of the angular power spectra of anisotropy of the cosmic X-ray and MeV gamma-ray backgrounds will be key to deciphering these backgrounds and the evolution of active galactic nuclei (AGNs). As AGNs trace the cosmic large-scale structure, spatial clustering of AGNs exists. We show that e-ROSITA will clearly detect the correlation signal of unresolved Seyferts at 0.5-2 keV and 2-10 keV bands and will be able to measure the bias parameter of AGNs at both bands. Once the future hard X-ray all sky satellites achieve the sensitivity better than 10^{-12} erg/cm^2/s at 10-30 keV or 30-50 keV - although this is beyond the sensitivities of current hard X-ray all sky monitors - angular power spectra will allow us to independently investigate the fraction of Compton-thick AGNs in all Seyferts. We also find that the expected angular power spectra of Seyferts and blazars in the MeV range are different by about an order of magnitude, where the Poisson term, so-called shot noise, is dominant. Current and future MeV instruments will clearly disentangle the origin of the MeV gamma-ray background through the angular power spectrum.Comment: 14 pages, 8 figures, accepted for publication in Ap

    Finding Nursing in the Room from Accelerometers and Audio on Mobile Sensors

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    In this paper, we propose a method for finding intervals of nursing activities from accelerometers and audio on mobile sensors which are attached to nurses in reality. If we can find the intervals of nursing activities correctly, it helps the data to be used for machine learning for activity recognition. We have extracted the times of nursing interactions between nurses and patients by A) recognize walking activity from accelerometers, B) recognize if s/he is in the patient’s room or not at each time duration divided by walking activities, from the environmental noise levels of sounds, and, C) for the du- ration where s/he is assumed to be in the patient’s room, apply voice activity detection by fundamental frequencies using Cepstrum method, and extract the duration in which a person speaks. As a result of the experience for 300sec of sensor data, we observed sufficient accuracy for each step of A)-C), and could reduce the time to 8%.Third International Workshop on Location Awareness for Mixed and Dual Reality (LAMDa’13), In Conjunction with the International Conference on Intelligent User Interfaces (IUI’13), March 19th, 2013, Santa Monica, California, US

    Effect of low-dose human atrial natriuretic peptide on postoperative atrial fibrillation in patients undergoing pulmonary resection for lung cancer: A double-blind, placebo-controlled study

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    ObjectivesWe previously reported that patients with preoperative B-type natriuretic peptide levels of 30 pg/mL or more have increased risk of postoperative atrial fibrillation after pulmonary resection. This study evaluated the effects of human atrial natriuretic peptide on postoperative atrial fibrillation in patients undergoing pulmonary resection for lung cancer.MethodsA prospective, randomized study was conducted with 40 patients who had preoperative elevated B-type natriuretic peptide (≥30 pg/mL) and underwent a scheduled pulmonary resection for lung cancer. Results were compared between patients who received low-dose human atrial natriuretic peptide and those who received a placebo. The primary end point was the incidence of postoperative atrial fibrillation during the first 4 days after surgery.ResultsThe incidence of postoperative atrial fibrillation was significantly lower in the human atrial natriuretic peptide group than in the placebo group (10% vs 60%; P < .001). Patients in the human atrial natriuretic peptide group also showed significantly lower white blood cell counts and C-reactive protein levels after surgery.ConclusionsContinuous infusion of low-dose human atrial natriuretic peptide during lung cancer surgery had a prophylactic effect against postoperative atrial fibrillation after pulmonary resection in patients with preoperative elevation of B-type natriuretic peptide levels. A larger sample size is needed to establish the safety and efficacy of this intervention

    Nursing Activity Sensing Using Mobile Sensors and Proximity Sensors

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    In recent years, big data are utilized in many industries.In this study, in order to analyze duties of thenurses, we performed experiments to collect the dutiesactivity data of the nurses for a long term. Weset 38 nurses as subjects and asked them to carry outduties while attaching a wearable small sensor device,and collected the acceleration data, meeting informationbetween nurses and the nurse duties information.In addition, we collected the location information of the nurses by using infrared information and communication equipment at the same time. From various data collected, we analyzed intensity and positional information of duties activity of the nurse, meeting information and the duties information between nurses and considered the influence that each factor affected to the nurse. As the result, we found that intensity of the activity increases in such nurses as who has many times of meeting with other nurses, visits the patient room many times, or who works on jobs concerning with the assistance of the patients such as rehabilitation assistance duties or the activity assistance dutiesThe 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS\u2715), December 5-8, 2015, Waikiki Beach Marriott Resort & Spa, Hawaii, US

    セファロX線規格写真を用いた日本人小児頭蓋骨の性別判定

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    Facial reconstruction is a technique that allows human skeletal remains to be used to build a facial image of the target individual during life. This technique is based on databases of facial soft tissue thickness. However, application of this technique is facilitated by accurate information such as age, sex and ancestry. Little information is available from the skull alone for building face reconstructions, particularly for skulls from juveniles. This study estimated sex differences from the cranial bases of juvenile skulls and observed significant differences between male and female in the S-N plane for Japanese children at 6-to 18-years-old

    Origin of the overall water splitting activity of Ta3N5 revealed by ultrafast transient absorption spectroscopy

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    Tantalum nitride (Ta3N5) is one of the few visible light absorbing photocatalysts capable of overall water splitting (OWS), by which the evolution of both H2 and O2 is possible. Despite favourable energetics, realizing the OWS or efficient H2 evolution in Ta3N5 prepared by the nitridation of tantalum oxide (Ta2O5) or Ta foil remains a challenge even after 15 years of intensive research. Recently our group demonstrated OWS in Ta3N5 when prepared by the short time nitridation of potassium tantalate (KTaO3). To obtain a mechanistic insight on the role of Ta precursor and nitridation time in realizing OWS, ultrafast dynamics of electrons (3435 nm probe) and holes (545 nm probe) is investigated using transient absorption spectroscopy. Electrons decay majorly by trapping in Ta3N5 prepared by the nitridation of Ta2O5, which do not show OWS. However, OWS activity in Ta3N5 prepared by 0.25 hour nitridation of KTaO3 is particularly favoured by the virtually absent electron and hole trapping. On further increasing the nitridation time of KTaO3 from 0.25 to 10 hour, trapping of both electron and hole is enhanced which concurrently results in a reduction of the OWS activity. Insights from correlating the synthesis conditions—structural defects—carrier dynamics—photocatalytic activity is of importance in designing novel photocatalysts to enhance solar fuel production

    Spatial Evolution of Wave‐Particle Interaction Region Deduced From Flash‐Type Auroras and Chorus‐Ray Tracing

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    In-situ observations of spatial variations of the wave-particle interaction region require a large number of satellite probes. As an alternative, flash-type auroras, a kind of pulsating aurora, driven by discrete chorus elements, can be used to investigate the interaction region with a high spatial resolution. We estimated the spatial extent of wave-particle interaction region from ground-based observations of flash aurora at Gakona (62.39°N, 214.78°E), Alaska at subauroral latitudes, and found that the auroral expansion was predominantly to the low-latitude side. The spatial displacement is thought to be caused by the propagation effects of chorus waves in the magnetosphere. Using ray tracing analysis to take into account chorus wave propagation, we reconstructed the spatiotemporal evolution of the volume emission rate and confirmed that the predominant expansion is toward the lower-latitude side in the ionosphere. This study shows that chorus wave propagation in the magnetosphere gives new insight for characterizing the transverse size (across the geomagnetic field line) of wave-particle interaction regions. The calculated spatial scale of the column auroral emission shows a correlation with the magnetic latitude of the resonance region at magnetic latitudes within 10° of the equatorial plane of the magnetosphere. Our results suggest that the spatial scale of a flash aurora is indirectly related to the chorus amplitude because the latitudinal range of the wave-particle interaction is important for the growth of wave amplitude

    Portable Health Clinic Packages for BoP

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    The 14th World Congress on Medical and Health Informatics(Medinfo2013), 20-23 August, 2013,Copenhagen, Denmar

    Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

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    Background: The prevalence of non-communicable diseases is increasing throughout the world, including developing countries. / Objective: The intent was to conduct a study of a preventive medical service in a developing country, combining eHealth checkups and teleconsultation as well as assess stratification rules and the short-term effects of intervention. / Methods: We developed an eHealth system that comprises a set of sensor devices in an attaché case, a data transmission system linked to a mobile network, and a data management application. We provided eHealth checkups for the populations of five villages and the employees of five factories/offices in Bangladesh. Individual health condition was automatically categorized into four grades based on international diagnostic standards: green (healthy), yellow (caution), orange (affected), and red (emergent). We provided teleconsultation for orange- and red-grade subjects and we provided teleprescription for these subjects as required. / Results: The first checkup was provided to 16,741 subjects. After one year, 2361 subjects participated in the second checkup and the systolic blood pressure of these subjects was significantly decreased from an average of 121 mmHg to an average of 116 mmHg (P<.001). Based on these results, we propose a cost-effective method using a machine learning technique (random forest method) using the medical interview, subject profiles, and checkup results as predictor to avoid costly measurements of blood sugar, to ensure sustainability of the program in developing countries. / Conclusions: The results of this study demonstrate the benefits of an eHealth checkup and teleconsultation program as an effective health care system in developing countries
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