Self-learning physical reservoir computer.

A self-learning physical reservoir computer is demonstrated using an adaptive oscillator. Whereas physical reservoir computing repurposes the dynamics of a physical system for computation through machine learning, adaptive oscillators can innately learn and store information in plastic dynamic states. The adaptive state(s) can be used directly as physical node(s), but these plastic states can also be used to self-learn the optimal reservoir parameters for more complex tasks requiring virtual nodes from the base oscillator.

Multiplex-free physical reservoir computing with an adaptive oscillator.

Nonlinear oscillators can often be used as physical reservoir computers, in which the oscillator's dynamics simultaneously performs computation and stores information. Typically, the dynamic states are multiplexed in time, and then machine learning is used to unlock this stored information into a usable form. This time multiplexing is used to create virtual nodes, which are often necessary to capture enough information to perform different tasks, but this multiplexing procedure requires a relatively high sampling rate.

Hopf physical reservoir computer for reconfigurable sound recognition.

The Hopf oscillator is a nonlinear oscillator that exhibits limit cycle motion. This reservoir computer utilizes the vibratory nature of the oscillator, which makes it an ideal candidate for reconfigurable sound recognition tasks. In this paper, the capabilities of the Hopf reservoir computer performing sound recognition are systematically demonstrated.

Field-programmable analog array (FPAA) based four-state adaptive oscillator for analog frequency analysis.

Adaptive oscillators are a subset of nonlinear oscillators that can learn and encode information in dynamic states. By appending additional states onto a classical Hopf oscillator, a four-state adaptive oscillator is created that can learn both the frequency and amplitude of an external forcing frequency. Analog circuit implementations of nonlinear differential systems are usually achieved by using operational amplifier-based integrator networks, in which redesign procedures of the system topology is time consuming.

Dynamic effects on reservoir computing with a Hopf oscillator.

Limit cycle oscillators have the potential to be resourced as reservoir computers due to their rich dynamics. Here, a Hopf oscillator is used as a physical reservoir computer by discarding the delay line and time-multiplexing procedure. A parametric study is used to uncover computational limits imposed by the dynamics of the oscillator using parity and chaotic time-series prediction benchmark tasks.

A Hopf physical reservoir computer.

Physical reservoir computing utilizes a physical system as a computational resource. This nontraditional computing technique can be computationally powerful, without the need of costly training. Here, a Hopf oscillator is implemented as a reservoir computer by using a node-based architecture; however, this implementation does not use delayed feedback lines.

A four-state adaptive Hopf oscillator.

Adaptive oscillators (AOs) are nonlinear oscillators with plastic states that encode information. Here, an analog implementation of a four-state adaptive oscillator, including design, fabrication, and verification through hardware measurement, is presented. The result is an oscillator that can learn the frequency and amplitude of an external stimulus over a large range.

Combination of three-gene immunohistochemical panel and magnetic resonance imaging-detected extramural vascular invasion to assess prognosis in non-advanced rectal cancer patients.

Aim: To identify a small, clinically applicable immunohistochemistry (IHC) panel that could be combined with magnetic resonance imaging (MRI)-detected extramural vascular invasion (EMVI) for assessment of prognosis concerning the non-advanced rectal cancer patients prior to operation.

Methods: About 329 patients with pathologically confirmed rectal carcinoma (RC) were screened in this research, all of whom had been examined an MRI and were treatment-naïve from July 2011 to July 2014. The candidate proteins that were reported to be altered by RC were examined in tissues by IHC.

Epidemiology and genotype distribution of human papillomavirus (HPV) in women of Henan Province, China.

Background: Human papillomavirus (HPV) infection is the commonest sexually transmitted infection, which is associated with various clinical conditions. This study aimed to determine the distribution of HPV genotypes in the women of Henan Province, China.

Methods: Cervical samples were collected by liquid-based method and consecutively evaluated cervical cytology and the presence of HPV DNA.

New technology for cervical cancer screening.

Background: Cervical cancer is the second most common cancer among women worldwide. With the introduction of organized cervical cytological screening programs, the incidence of cervical cancer has been dramatically reduced.

Objectives: This study aimed to determine the new technology that can potentially afford unique advantages for cervical cancer screening.

[Lateral minimally invasive approach reduction and internal fixation with hollow screws for displaced intra-articular calcaneal fracture].

Objective: To investigate the operative treatment of displaced intra-articular calcaneal fracture by lateral minimally invasive approach reduction and internal fixation.

Methods: During January 2006 to September 2009, 30 cases (31 feet) of displaced intra-articular calcaneal fracture were treated by open reduction and hollow screws internal fixation through lateral minimally invasive approach from the fibular tip to the basement of the fourth metatarsal foot (Sanders II in 21 feet, Sanders III in 8 feet, Sanders IV in 2 feet), including 23 males and 7 females with an average age of 36.5 years ranging from 18 to 60 years.