Mitsudo Y.,Lab Tech Support
2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 | Year: 2016
A record of food intake contains information that is useful for health care. We propose a new method for obtaining food intake data using intra-body communication. In this system, a transmitter is attached to each dish, and signals are sent to a receiver via dishes, food, and cutlery; the human body is the medium connecting the transmitter and the receiver. A receiver can detect the moment when the user is in contact with the food by receiving a signal. In this paper, a system overview and the experimental results for signal transmission are presented. © 2016 IEEE.
Deshmukh P.,Raja Ramanna Center for Advanced Technology |
Satapathy S.,Raja Ramanna Center for Advanced Technology |
Singh M.K.,Raja Ramanna Center for Advanced Technology |
Kumar Y.P.,Lab Tech Support |
Gupta P.K.,Raja Ramanna Center for Advanced Technology
Journal of the European Ceramic Society | Year: 2017
Tb3+/Yb3+ co-doped Y2O3 transparent ceramics were fabricated by vacuum sintering of the pellets (prepared from nanopowders by uniaxial pressing) at 1750 °C for 5 h. Zr4+ and La3+ ions were incorporated in Tb3+/Yb3+ co-doped Y2O3 nanoparticle to reduce the formation of pores which limits the transparency of ceramic. An optical transmittance of ∼80% was achieved in ∼450 to 2000 nm range for 1 mm thick pellet which is very close to the theoretical value by taking account of Fresnel's correction. High intensity luminescence peak at 543 nm (green) was observed in these transparent ceramics under 976 and 929 nm excitations due to Yb–Tb energy transfer upconversion. © 2016 Elsevier Ltd
McGee W.K.,Oregon National Primate Research Center |
McGee W.K.,Oregon Health And Science University |
Bishop C.V.,Oregon National Primate Research Center |
Bahar A.,Oregon Health And Science University |
And 9 more authors.
Human Reproduction | Year: 2012
BACKGROUND: Hyperandrogenemia is associated with several clinical disorders in which both reproductive dysfunction and metabolic changes may coexist [i.e. polycystic ovary syndrome (PCOS), obesity and congenital adrenal hyperplasia]. Moreover, there is growing evidence that the elevated levels of circulating androgens in obese girls may lead to an increased neuroendocrine drive to the reproductive axis, similar to that associated with PCOS. METHODS: To test whether androgen exposure in the childhood and adolescent period could lead to pubertal alterations in LH secretory patterns, female rhesus monkeys received subcutaneous testosterone implants prepubertally beginning at 1 year of age, maintaining a 3.7-fold increase (P = 0.001) in circulating testosterone levels over cholesterol-implant controls (n = 6/group) into the post-pubertal period. In early adulthood, pulsatile secretion of LH was measured over 12 h during the early follicular phase of a menstrual cycle, and responsiveness of the pituitary to gonadotrophin-releasing hormone was determined. In addition, ultrasounds were performed to assess ovarian morphology and glucose tolerance testing was performed to assess insulin sensitivity. RESULTS: The timing of menarche was similar between groups. Testosterone-treated animals had a significantly greater LH pulse frequency during the early follicular phase compared with controls (P = 0.039) when measured at 5 years of age. There was a larger LH response to GnRH when testosterone-treated animals were 4 years of age (P = 0.042), but not when the animals were 5 years old (P = 0.57). No differences were seen in insulin sensitivity or ovarian morphology, and the groups showed similar rates of ovulation in early adulthood. CONCLUSIONS: Exposure to increased levels of androgens over the course of pubertal development appears to trigger physiological changes in the neural drive to the reproductive axis that resemble those of obese hyperandrogenemic girls in early adulthood and are characteristic of PCOS. © The Author 2011. Published by Oxford University Press. All rights reserved.
Morgado E.,University of Veracruz |
Meza E.,University of Veracruz |
Gordon M.K.,University of Delaware |
Pau F.K.Y.,Lab Tech Support |
And 2 more authors.
Hormones and Behavior | Year: 2010
Rabbit does nurse their litter once every 24. h during the night. We hypothesized that corticosterone, ghrelin, leptin, and metabolites such as glucose, liver glycogen, and free fatty acids could be affected in the pups by the time at which does nurse them. Therefore, we measured these parameters in pups nursed at 02:00. h (nighttime for the doe) to compare them with results from a previous study where does nursed at 10:00. h, during daytime. From postnatal day 7, pups were sacrificed either just before their scheduled time of nursing or at 4, 8, 12, 16, or 20. h after nursing (n=6 at each time point); additional pups were sacrificed at 4. h intervals between 48 and 72. h after nursing to study the persistence of oscillations during fasting. All pups developed locomotor anticipatory activity to nursing. Corticosterone, ghrelin, and free fatty acids exhibited a rhythm that persisted in fasted pups. Glucose concentrations were lower in fasted than in nursed pups, and glycogen was only detected in nursed subjects. Leptin values were stable and low in nursed subjects but increased significantly in fasted subjects up to 72. h after the expected nursing time. The rhythm of ghrelin persisted during fasting, contrary to our previous findings in pups nursed during daytime (i.e., outside the natural time of nursing for this species). Therefore, in 7-day-old rabbit pups, night nursing is a strong zeitgeber for corticosterone, ghrelin, free fatty acids, and energy metabolites but not for leptin. © 2010 Elsevier Inc.
Dong M.,National University of Defense Technology |
Dong M.,Lab Tech Support |
Mao X.,National University of Defense Technology |
Guo Y.,National University of Defense Technology |
Qi Z.,National University of Defense Technology
Jisuanji Yanjiu yu Fazhan/Computer Research and Development | Year: 2012
Implementation of a self-adaptive system should be on the premise of explicitly representing and efficiently perceiving its environment, which is a challenge to the self-adaptive system research. In this paper, the autonomous entities in self-adaptive systems are abstracted as agents, and the complex self-adaptive systems are regarded as multi-agent organizations. Based on dynamic binding, we present an adaptive mechanism and its supporting framework to develop self-adaptive agents. In the framework, environment is regarded as the first-class abstraction, and a language is provided to abstract and describe the environment in which self-adaptive multi-agent organizations are situated. To perceive the environment efficiently, two approaches are presented based on event publish-subscrib and softsensor, and also the method of dynamic associating the relationship between softsensor and environment. Based on the approaches, the developed complex self-adaptive systems can represent their environment explicitly and perceive the environment transparently, and it is easy to maintain and upgrade those systems. This paper introduces the supporting platform SADE for the above mechanism, technology and language. In addition, a case study is presented to illustrate the feasibility and effectiveness of the proposed approaches.
Trahanas J.M.,Lab Tech Support
ASAIO Journal | Year: 2016
Although total body perfusion with extracorporeal life support (ECLS) can be maintained for weeks, individual organ perfusion beyond 12 hours has yet to be achieved clinically. Normothermic ex situ heart perfusion (ESHP) offers the potential for prolonged cardiac preservation. We developed an ESHP system to study the effect of perfusate variables on organ preservation, with the ultimate goal of extending organ perfusion for ≥ 24 hours.Forty porcine hearts were perfused for a target of 12 hours. Hearts that maintained electromechanical activity and had a <3x increase in vascular resistance were considered successful preservations. Perfusion variables, metabolic byproducts, and histopathology were monitored and sampled to identify factors associated with preservation failure.Twenty-two of 40 hearts were successfully preserved at 12 hours. Successful 12-hour experiments demonstrated lower potassium (4.3±0.8 vs. 5.0±1.2 mmol/L, p=0.018) and lactate (3.5±2.8 vs. 4.5±2.9 mmol/L, p=0.139) levels, and histopathology revealed less tissue damage (p=0.003) and less weight gain (p=0.072).Results of these early experiments suggest prolonged ESHP is feasible, and that elevated lactate and potassium levels are associated with organ failure. Further studies are necessary to identify the ideal perfusate for normothermic ESHP. Copyright © 2016 by the American Society for Artificial Internal Organs
Parvin S.,Curtin University Australia |
Hussain F.K.,Lab Tech Support |
Hussain O.K.,Curtin University Australia |
Han S.,Curtin University Australia |
And 2 more authors.
Journal of Network and Computer Applications | Year: 2012
Recent advancements in wireless communication are creating a spectrum shortage problem on a daily basis. Recently, Cognitive Radio (CR), a novel technology, has attempted to minimize this problem by dynamically using the free spectrum in wireless communications and mobile computing. Cognitive radio networks (CRNs) can be formed using cognitive radios by extending the radio link features to network layer functions. The objective of CRN architecture is to improve the whole network operation to fulfil the users demands anytime and anywhere, through accessing CRNs in a more efficient way, rather than by just linking spectral efficiency. CRNs are more flexible and exposed to wireless networks compared with other traditional radio networks. Hence, there are many security threats to CRNs, more so than other traditional radio environments. The unique characteristics of CRNs make security more challenging. Several crucial issues have not yet been investigated in the area of security for CRNs. A typical public key infrastructure (PKI) scheme which achieves secure routing and other purposes in typical ad hoc networks is not enough to guarantee the security of CRNs under limited communication and computation resources. However, there has been increasing research attention on security threats caused specifically by CR techniques and special characteristics of CR in CRNs. Therefore, in this research, a survey of CRNs and their architectures and security issues has been carried out in a broad way in this paper. © 2012 Elsevier Ltd. All rights reserved.
Ouadid Y.,Lab Tech Support |
Minaoui B.,Lab Tech Support |
Fakir M.,Lab Tech Support
Proceedings - Computer Graphics, Imaging and Visualization: New Techniques and Trends, CGiV 2016 | Year: 2016
Optical Character Recognition is one of the most important tools that contributes to facilitate man-machine interaction. In this paper, we present an optical Tifinagh character recognition system based on graph theory. After preprocessing, interest points are extracted using Harris corner detector. Based on these points, we constructed the graph model representation of Tifinagh characters. Classification is done by calculating the spectral properties of adjacency matrix that represent the degree of agreement between graphs. The system shows satisfying performance and robustness against noise and deformation. The proposed system is evaluated using IRCAM database (Royal Institute of Amazigh Culture) and recognition rate of 99.02% was obtained. © 2016 IEEE.
Sousa M.R.,University of Porto |
Gama J.,University of Porto |
Gama J.,Lab Tech Support |
Brandao E.,University of Porto
Expert Systems with Applications | Year: 2016
We propose a new dynamic modeling framework for credit risk assessment that extends the prevailing credit scoring models built upon historical data static settings. The driving idea mimics the principle of films, by composing the model with a sequence of snapshots, rather than a single photograph. In doing so, the dynamic modeling consists of sequential learning from the new incoming data. A key contribution is provided by the insight that different amounts of memory can be explored concurrently. Memory refers to the amount of historic data being used for estimation. This is important in the credit risk area, which often seems to undergo shocks. During a shock, limited memory is important. Other times, a larger memory has merit. An application to a real-world financial dataset of credit cards from a financial institution in Brazil illustrates our methodology, which is able to consistently outperform the static modeling schema. © 2015 Elsevier Ltd.