Let The Rest Of The World Go By

[Verse 1]Is the struggle and strife we find in this life really worthwhile after all?I’ve been wishing today I could just run away,Out where the west winds call. [Refrain]With someone like you, a pal good and true,I’d like to leave it all behind, and go and find someplace that’s known to God alone,Just a spot to call our own.We’ll find perfect peace, where joys never cease, out there beneath a kindly sky,We’ll build a sweet little nest somewhere in the west,And let the rest of the world go by. [Verse 2]Is the future to hold just struggles for goldWhile the real world waits outside,Away out on the breast of the wonderful west,Across the great divide? [Refrain] [Refrain

When the Robert E. Lee Arrives in Old Tennessee (All the Way from Gay Paree) / music by Paul Cunningham; words by J. Keirn Brennan

Cover: drawing of the steam boat, Robert E. Lee, arriving at a dock, there is much celebration by the all black crew and crowd; Publisher: M. Witmark and Sons (New York)https://egrove.olemiss.edu/sharris_d/1097/thumbnail.jp

In Memory

In Memory of Jon L. Seubert

Toward a model-based predictive controller design in brain-computer interfaces

A first step in designing a robust and optimal model-based predictive controller (MPC) for brain-computer interface (BCI) applications is presented in this article. An MPC has the potential to achieve improved BCI performance compared to the performance achieved by current ad hoc, nonmodel-based filter applications. The parameters in designing the controller were extracted as model-based features from motor imagery task-related human scalp electroencephalography. Although the parameters can be generated from any model-linear or non-linear, we here adopted a simple autoregressive model that has well-established applications in BCI task discriminations. It was shown that the parameters generated for the controller design can as well be used for motor imagery task discriminations with performance (with 8-23% task discrimination errors) comparable to the discrimination performance of the commonly used features such as frequency specific band powers and the AR model parameters directly used. An optimal MPC has significant implications for high performance BCI applications.Grants K25NS061001 (MK) and K02MH01493 (SJS) from the National Institute of Neurological Disorders And Stroke (NINDS) and the National Institute of Mental Health (NIMH), the Portuguese Foundation for Science and Technology (FCT) Grant SFRH/BD/21529/2005 (NSD), the Pennsylvania Department of Community and Economic Development Keystone Innovation Zone Program Fund (SJS), and the Pennsylvania Department of Health using Tobacco Settlement Fund (SJS)

Human Dimensions of Invasive Vertebrate Species Management

Invasive vertebrate species can cause substantial damage to natural resources, property, crops, livestock, and pose a disease hazard to humans, native wildlife and domestic animals. Numerous island species have become extinct or are threatened with extinction from invasive species. The high rate of invasive species introductions continues because of the large volumes of world trade and international travel. Humans are often responsible for introductions, but are also the key to their prevention, management, and eradication. However, many of the values and perceptions of invasive species vary among humans. Hence, the prevention and control of invasive vertebrates often requires adjusting human behaviors, values, and beliefs, along with changing the way decisions are made. Most people have little idea of which species are invasive, what their impacts are, and what control methods might be appropriate for their management. A wide variety of education, outreach, and training programs are needed to help motivate people to take action and raise awareness of the causes of establishment, consequences of invasive species, and the need for prevention, control, and eradication programs. Key messages should target diverse audiences through appropriate media outlets and methods. Surveys to better understand how different stakeholder groups view invasive species, the threats they pose, and the potential methods of control are also needed. We review several programs in place to help achieve the critical need for an informed and active public with regard to invasive vertebrate species. The programs help create an informed public, generate public and financial support for invasive species management, train the public to recognize and report sightings of invasives, and encourage sustainable ecosystems

I'm From Ohio Sheet Music

I'm From Ohio is sheet music originally published in 1918 commemorating the men and women who fought in World War I from Ohio. The interesting part is the cover art that shows smaller towns in the state, such as Tiffin, Fostoria, Defiance, and Zanesville. The music was written by Ernest R. Ball, and words were written by J. Keirn Brennan. It was published by W. Witmark and Sons , 441 Witmark Building, New York. The music was purchased from Emyl Wagner, Pianos, Victrolas, Phonographs, Musical Instruments, Sheet Music, Etc., 148 South Washington Street, Tiffin (Ohio) The name Zula Krupp is written on the front cover and is the donors great-grandmother. This item was provided for inclusion from a private collection

A common spatial pattern approach for classification of mental counting and motor execution EEG

© Springer Nature Switzerland AG 2018. A Brain Computer Interface (BCI) as a medium of communication is convenient for people with severe motor disabilities. Although there are a number of different BCIs, the focus of this paper is on Electroencephalography (EEG) as a means of human computer interaction. Motor imagery and mental arithmetic are the most popular techniques used to modulate brain waves that can be used to control devices. We show that it is possible to define different mental states using real fist rotation and imagined reverse counting. While people have already investigated left fist rotation and right fist rotation for dual state BCI, we intend to define a new state using mental reverse counting. We use Common Spatial Pattern (CSP) approach for feature extraction to distinguish between these states. CSP has been prominently used in the context of motor imagery task, we define its applicability for the distinction between motor execution and mental counting. CSP features are evaluated using classifiers like GMM, SVM, and GMM-UBM. GMM-UBM using data filtered through the beta band (13–30 Hz) gives the best performance