Japan Science and Technology Agency

Matsushita Electric Industrial Co., Ltd.

Japan Science and Technology Corporation

Honda Motor Co., Ltd.

Kyushu University

Kazuyuki Aihara

Yoshihiko Horio

Noboru Wakami

Hiroyoshi Nomura

Kenya Jinno

Tohru Kohda

Luonan Chen

Takuya Hamada

Rui Liu

Takamasa Koshizen

Tetsuya Fujiwara

Naoki Masuda

Meiyi Li

Yoshito Hirata

Motohri Kon

Satoshi Hironaka

Zhiping Liu

Hiroyashi Nomura

Kenichi Watarai

Xiaoping Liu

Provided is a method for detecting a biomarker indicating states of a target biological system based on data acquired by measuring the target biological system. The method includes the steps of: preparing a reference dataset based on data acquired from one or more reference biological systems; generating a target dataset by adding, to the reference dataset, target biological data acquired from the target biological system; acquiring first correlation coefficients between a plurality of factor items in the reference dataset; acquiring second correlation coefficients between the plurality of factor items in the target dataset; acquiring difference correlation coefficients that are differences between the first correlation coefficients and the second correlation coefficients; acquiring indexes respectively for the plurality of factor items based on the difference correlation coefficients; and selecting the biomarker based on the indexes.

Biomarker detection method, disease assessment method, biomarker detection device, and computer readable medium

The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state. Biological samples are collected from a subject to be measured at different times. Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples. Thereafter, a process of obtaining high-throughput data (s), a process of choosing differential biological molecules (s), a process of clustering (s), a process of choosing a DNB candidate (s), and a process of identifying a DNB by significance analysis (s) are carried out.

Device for detecting a dynamical network biomarker, method for detecting same, and program for detecting same

The invention provides a detection device, method, and program capable of highly accurately detecting a pre-disease state that indicates a precursor to a state transition from a healthy state to a disease state. The following processes are carried out: a process of obtaining measured data on genes, proteins, etc. related to a biological object as high-throughput data (s), a process of selecting differential biological molecules (s), a process of calculating the SNE of a local network (s), a process of selecting a biomarker candidate (s), a process of calculating an average SNE across the entire network (s), and a process of determining and detecting whether or not the system is in a pre-disease state (s).

Detection device, method, and program for assisting network entropy-based detection of precursor to state transition of biological object

There is provided a data conversion method based on negative &#x3b2;-map suited for an A/D converter or chaos generator, that is adapted to an integrated circuit and capable of providing stable operation of the circuit. The data conversion method based on negative &#x3b2;-map includes a discrete time integratorhaving an amplification coefficient s and a damping factor &#x3b2;, a quantizerconnected in series to the discrete time integrator, and a feedback circuit connected from an output of the quantizerto an input of the discrete time integrator

Data conversion method based on negative &#x3b2;-map

There is provided a data conversion method based on &#x3b2;-map suited for an A/D converter or chaos generator, that is adapted to an integrated circuit and capable of providing stable operation of the circuit. The data conversion method based on scale-adjusted &#x3b2;-map includes a discrete time integratorhaving an amplification coefficient s(1&#x2212;&#x3b2;) and a damping factor &#x3b2;, a quantizerconnected in series to the discrete time integrator, and a feedback circuitconnected from an output of the quantizerto an input of the discrete time integrator

Data conversion method based on scale-adjusted B-map

There is provided a multi-screw chaotic oscillator circuit with simple configuration, that can use various multi-hysteresis VCCS characteristics and generate a variety of multi-screw attractors. The multi-screw chaotic oscillator circuit comprises: a linear two-port VCCS circuitconsisting of a set of linear VCCS circuits Gand G; a multi-hysteresis two-port VCCS circuitconsisting of a set of multi-hysteresis VCCS circuits MHand MHhaving multi-hysteresis characteristic; and capacitors Cand Cconnected to each end of a circuit configured by parallel-connecting the linear two-port VCCS circuitand the multi-hysteresis two-port VCCS circuit

Multi-screw chaotic oscillator circuit

A multi-hysteresis voltage controlled current source system having a variety of multi-hysteresis characteristics is provided. In the multi-hysteresis voltage controlled current source system, single-hysteresis voltage controlled current source circuits,as fundamental components are connected in parallel, and a differential input voltage vis applied to the single-hysteresis voltage controlled current source circuits, so that a plurality of discrete values of current can be output based on the single-hysteresis voltage controlled current source circuits 2.

Multi-hysteresis voltage controlled current source system

There is provided a mechanism for generating random numbers following the normal distribution which does not generate a sequence correlation. The mechanism for generating random numbers following the normal distribution includes: a random recurrence plot generating mechanismfor generating random recurrence plots; and a recurrence plot-time series converting mechanismfor converting the random recurrence plots from the random recurrence plot generating unitinto time series, wherein Gaussian random numbers are generated by the recurrence plot-time series converting mechanism

Mechanism for generating random numbers following normal distribution

The interest level estimation system of the present invention includes a gaze measurement unit that measures a person's gaze velocity and a skin potential level measurement unit that measures a person's skin potential level. The interest level estimation system also includes an interest level estimation unit. In the interest level estimation unit, a skin potential level time variation and a gaze velocity standard deviation are obtained at predetermined intervals, an inflection point of the skin potential level time variation is obtained at the predetermined intervals, the skin potential level time variation and the gaze velocity standard deviation that are obtained before a time corresponding to the inflection point are related to an interest state at the predetermined intervals, and the skin potential level time variation and the gaze velocity standard deviation that are obtained after the time corresponding to the inflection point are related to a disinterest state at the predetermined intervals, thereby obtaining a relationship between the skin potential level time variation and gaze velocity standard deviation and the interest level.

System and method for estimating interest level

Provided is a highly accurate converter and the like that makes up for the instability of circuit elements, by focusing on a relationship between the Markov chain and &#x3b2; conversion. A converterthat determines the decoded value of a sample value x based on L-bit number b(i=1, . . . , L) includes a decoding sectionto determine the decoded value xfor &#x3b3;=1/&#x3b2; (where 1&#x3c;&#x3b2;&#x3c;2) using equation (eq 1). Further, the converteralso includes a matrix estimation sectionto determine the Markov transition matrix based on b. Unlike a conventional method that pays attention to the lower limit of an interval, the decoding sectionusing equation (eq 1) pays attention to the center of the interval, and this point is a significant difference. 

Converter, conversion method, program, and recording medium

An N-shaped nonlinear resistor circuit using floating gate MOSFETs; to realize various N-shaped characteristics that can be approximated by piecewise linear functions of third to seventh orders and further to realize N-shaped V-I characteristics that can variously change those characteristics by use of external voltages. A &#x39b;-type nonlinear resistor circuit (1) and a V-type nonlinear resistor circuit (2) using multi-input floating gate MOSFETs are connected in parallel, and the currents of the &#x39b;-type and V-type nonlinear resistor circuits are added together, thereby providing various N-shaped voltage-current characteristics.

Nonlinear resistor circuit using floating gate MOSFETs

Time-series predicting method using wavelet number series and device thereof

Chaos applied apparatus

An apparatus and method for heating microwave oven using a deterministic chaotic signal. The microwave oven includes a heating compartment, a magnetron for generating microwaves, a waveguide for directing the microwaves into the heating compartment and a chaotic signal generator for driving the magnetron. The characteristics of the chaotic signal are adjusted to tend to vary the output energy of the magnetron and increase the uniformity of the microwaves in the heating compartment.

Apparatus and method for microwave heating using chaotic signals

An apparatus and method for heating a microwave oven using a deterministic chaotic signal. The microwave oven includes a heating compartment, a magnetron for generating microwaves, a waveguide for directing the microwaves into the heating compartment and a chaotic signal generator for driving the magnetron. The characteristics of the chaotic signal are adjusted to tend to vary the output energy of the magnetron and increase the uniformity of the microwaves in the heating compartment.

Growing community of inventors

Narashino, Japan

Kazuyuki Aihara