The Experts below are selected from a list of 9936 Experts worldwide ranked by ideXlab platform

Yutaka Yasuda - One of the best experts on this subject based on the ideXlab platform.

  • JIRO NAKAMURA, MD
    2015
    Co-Authors: Mikihiro Nakayama, Yutaka Yasuda
    Abstract:

    OBJECTIVE — The present study was conducted to investigate the effect of an aldose reduc-tase inhibitor, epalrestat, on autonomic and somatic neuropathy at an early stage in type 2 diabetic patients by assessing the pupillary light reflex and Minimum Latency of the F-wave. RESEARCH DESIGN AND METHODS — A total of 30 diabetic patients with subclin-ical or mild diabetic neuropathy were randomly allocated to a control group (n 5 15) and epalrestat (150 mg/day) group (n 5 15). After 24 weeks, the pupillary light reflex test, cardio-vascular autonomic function tests, and nerve conduction study were performed. RESULTS — The beneficial effect of epalrestat on the pupillary light reflex was observed in the Minimum diameter after light stimuli (P 5 0.044), constriction ratio (P 5 0.014), and maximum velocity of constriction (P 5 0.008). Among cardiovascular autonomic nerve functions, the ratio of the longest expiratory R-R interval to the shortest inspiratory R-R interval during deep breath-ing was significantly improved by epalrestat (P 5 0.037). Minimum latencies of F-wave of median and tibial motor nerves were significantly shortened by epalrestat (P 5 0.002 and P 5 0.001, respectively); however, no significant effects were observed in motor or sensory nerve conduction velocity

  • aldose reductase inhibition ameliorates pupillary light reflex and f wave Latency in patients with mild diabetic neuropathy
    Diabetes Care, 2001
    Co-Authors: Mikihiro Nakayama, Yoji Hamada, Hideki Kamiya, Jiro Nakamura, Yutaka Yasuda, Sadao Chaya, Ryuichi Mizubayashi, Naoki Koh, Nigishi Hotta
    Abstract:

    OBJECTIVE —The present study was conducted to investigate the effect of an aldose reductase inhibitor, epalrestat, on autonomic and somatic neuropathy at an early stage in type 2 diabetic patients by assessing the pupillary light reflex and Minimum Latency of the F-wave. RESEARCH DESIGN AND METHODS —A total of 30 diabetic patients with subclinical or mild diabetic neuropathy were randomly allocated to a control group ( n = 15) and epalrestat (150 mg/day) group ( n = 15). After 24 weeks, the pupillary light reflex test, cardiovascular autonomic function tests, and nerve conduction study were performed. RESULTS —The beneficial effect of epalrestat on the pupillary light reflex was observed in the Minimum diameter after light stimuli ( P = 0.044), constriction ratio ( P = 0.014), and maximum velocity of constriction ( P = 0.008). Among cardiovascular autonomic nerve functions, the ratio of the longest expiratory R-R interval to the shortest inspiratory R-R interval during deep breathing was significantly improved by epalrestat ( P = 0.037). Minimum latencies of F-wave of median and tibial motor nerves were significantly shortened by epalrestat ( P = 0.002 and P = 0.001, respectively); however, no significant effects were observed in motor or sensory nerve conduction velocity. CONCLUSIONS —These observations suggest that epalrestat may have therapeutic value at the early stage of diabetic neuropathy and that the pupillary light reflex and Minimum Latency of F-wave may be useful indicators of diabetic neuropathy.

A. Salman Avestimehr - One of the best experts on this subject based on the ideXlab platform.

  • Coding for Distributed Fog Computing
    IEEE Communications Magazine, 2017
    Co-Authors: Songze Li, Mohammad Ali Maddah-ali, A. Salman Avestimehr
    Abstract:

    Redundancy is abundant in Fog networks (i.e., many computing and storage points) and grows linearly with network size. We demonstrate the transformational role of coding in Fog computing for leveraging such redundancy to substantially reduce the bandwidth consumption and Latency of computing. In particular, we discuss two recently proposed coding concepts, namely Minimum Bandwidth Codes and Minimum Latency Codes, and illustrate their impacts in Fog computing. We also review a unified coding framework that includes the above two coding techniques as special cases, and enables a tradeoff between computation Latency and communication load to optimize system performance. At the end, we will discuss several open problems and future research directions.

Salman A Avestimehr - One of the best experts on this subject based on the ideXlab platform.

  • coding for distributed fog computing
    IEEE Communications Magazine, 2017
    Co-Authors: Mohammad Ali Maddahali, Salman A Avestimehr
    Abstract:

    Redundancy is abundant in fog networks (i.e., many computing and storage points) and grows linearly with network size. We demonstrate the transformational role of coding in fog computing for leveraging such redundancy to substantially reduce the bandwidth consumption and Latency of computing. In particular, we discuss two recently proposed coding concepts, Minimum bandwidth codes and Minimum Latency codes, and illustrate their impacts on fog computing. We also review a unified coding framework that includes the above two coding techniques as special cases, and enables a trade-off between computation Latency and communication load to optimize system performance. At the end, we will discuss several open problems and future research directions.

Mikihiro Nakayama - One of the best experts on this subject based on the ideXlab platform.

  • JIRO NAKAMURA, MD
    2015
    Co-Authors: Mikihiro Nakayama, Yutaka Yasuda
    Abstract:

    OBJECTIVE — The present study was conducted to investigate the effect of an aldose reduc-tase inhibitor, epalrestat, on autonomic and somatic neuropathy at an early stage in type 2 diabetic patients by assessing the pupillary light reflex and Minimum Latency of the F-wave. RESEARCH DESIGN AND METHODS — A total of 30 diabetic patients with subclin-ical or mild diabetic neuropathy were randomly allocated to a control group (n 5 15) and epalrestat (150 mg/day) group (n 5 15). After 24 weeks, the pupillary light reflex test, cardio-vascular autonomic function tests, and nerve conduction study were performed. RESULTS — The beneficial effect of epalrestat on the pupillary light reflex was observed in the Minimum diameter after light stimuli (P 5 0.044), constriction ratio (P 5 0.014), and maximum velocity of constriction (P 5 0.008). Among cardiovascular autonomic nerve functions, the ratio of the longest expiratory R-R interval to the shortest inspiratory R-R interval during deep breath-ing was significantly improved by epalrestat (P 5 0.037). Minimum latencies of F-wave of median and tibial motor nerves were significantly shortened by epalrestat (P 5 0.002 and P 5 0.001, respectively); however, no significant effects were observed in motor or sensory nerve conduction velocity

  • aldose reductase inhibition ameliorates pupillary light reflex and f wave Latency in patients with mild diabetic neuropathy
    Diabetes Care, 2001
    Co-Authors: Mikihiro Nakayama, Yoji Hamada, Hideki Kamiya, Jiro Nakamura, Yutaka Yasuda, Sadao Chaya, Ryuichi Mizubayashi, Naoki Koh, Nigishi Hotta
    Abstract:

    OBJECTIVE —The present study was conducted to investigate the effect of an aldose reductase inhibitor, epalrestat, on autonomic and somatic neuropathy at an early stage in type 2 diabetic patients by assessing the pupillary light reflex and Minimum Latency of the F-wave. RESEARCH DESIGN AND METHODS —A total of 30 diabetic patients with subclinical or mild diabetic neuropathy were randomly allocated to a control group ( n = 15) and epalrestat (150 mg/day) group ( n = 15). After 24 weeks, the pupillary light reflex test, cardiovascular autonomic function tests, and nerve conduction study were performed. RESULTS —The beneficial effect of epalrestat on the pupillary light reflex was observed in the Minimum diameter after light stimuli ( P = 0.044), constriction ratio ( P = 0.014), and maximum velocity of constriction ( P = 0.008). Among cardiovascular autonomic nerve functions, the ratio of the longest expiratory R-R interval to the shortest inspiratory R-R interval during deep breathing was significantly improved by epalrestat ( P = 0.037). Minimum latencies of F-wave of median and tibial motor nerves were significantly shortened by epalrestat ( P = 0.002 and P = 0.001, respectively); however, no significant effects were observed in motor or sensory nerve conduction velocity. CONCLUSIONS —These observations suggest that epalrestat may have therapeutic value at the early stage of diabetic neuropathy and that the pupillary light reflex and Minimum Latency of F-wave may be useful indicators of diabetic neuropathy.

Frans Schalekamp - One of the best experts on this subject based on the ideXlab platform.

  • brief announcement on the complexity of the Minimum Latency scheduling problem on the euclidean plane
    ACM Symposium on Parallel Algorithms and Architectures, 2012
    Co-Authors: Henry Lin, Frans Schalekamp
    Abstract:

    We announce NP-hardness of the Minimum Latency scheduling (MLS) problem under the physical model of wireless networking. In this model a transmission is received successfully if the Signal to Interference-plus-Noise Ratio (SINR), is above a given threshold. In the MLS problem, the goal is to assign a time slot and power level to each transmission, so that all the messages are received successfully, and the number of distinct times slots is minimized. Despite its seeming simplicity and several previous hardness results for various settings of the Minimum Latency scheduling problem, it has remained an open question whether or not the Minimum Latency scheduling problem is NP-hard, when the nodes are known to be placed in the Euclidean plane and arbitrary power levels can be chosen for the transmissions. We resolve this open question for all path loss exponent values alpha >= 3.

  • on the complexity of the Minimum Latency scheduling problem on the euclidean plane
    arXiv: Networking and Internet Architecture, 2012
    Co-Authors: Henry Lin, Frans Schalekamp
    Abstract:

    We show NP-hardness of the Minimum Latency scheduling (MLS) problem under the physical model of wireless networking. In this model a transmission is received successfully if the Signal to Interference-plus-Noise Ratio (SINR), is above a given threshold. In the Minimum Latency scheduling problem, the goal is to assign a time slot and power level to each transmission, so that all the messages are received successfully, and the number of distinct times slots is minimized. Despite its seeming simplicity and several previous hardness results for various settings of the Minimum Latency scheduling problem, it has remained an open question whether or not the Minimum Latency scheduling problem is NP-hard, when the nodes are placed in the Euclidean plane and arbitrary power levels can be chosen for the transmissions. We resolve this open question for all path loss exponent values $\alpha \geq 3$.