“Seek the Light of Love”:Philip Lamantia’s “A Simple Answer to the Enemy”: Then and Now

During the 1940s the poet Philip Lamantia transitioned away from Surrealism to “naturalistic” poetry rooted in spirituality and the mysticism that exists in extraordinary experiences. Some of the subject matter became more sensuous and sociopolitical, and an underlying theme is contempt for government and the evil perpetrated in its name. One of his most overtly political poems, “A Simple Answer to the Enemy” remains applicable today. It makes a case for dissent by laying bare the corrupt agenda of a political order that dehumanizes the public and erodes liberties. Lamantia endorses a revolutionary mindset that rejects mechanistic thinking, aggression, and greed, and encourages us to embrace a philosophy of love and the spirit of compassion

Going-Concern Opinions: Broadening the Expectations Gap

A rash of high-profile bankruptcies has led to a search for answers. Many hold auditors responsible for not detecting the potential for bankruptcy during the most recent audit. The Weiss Report, a study of several dozen bankrupt companies submitted to the U.S. Senate during its deliberations on the Sarbanes-Oxley Act, found a broad and massive failure on the part of auditors to raise yellow flags that indicate potential bankruptcy. The authors examined Weiss\u27 methodology and found that, applied to a broader group of companies, Weiss\u27 criteria would have incorrectly predicted bankruptcy for nearly half of the non-bankrupt companies studied. This failure to accurately predict undermines the credibility of the subsequently enacted legislation

INTEGRATE-Neo: A pipeline for personalized gene fusion neoantigen discovery

Abstract Motivation While high-throughput sequencing (HTS) has been used successfully to discover tumor-specific mutant peptides (neoantigens) from somatic missense mutations, the field currently lacks a method for identifying which gene fusions may generate neoantigens. Results We demonstrate the application of our gene fusion neoantigen discovery pipeline, called INTEGRATE-Neo, by identifying gene fusions in prostate cancers that may produce neoantigens. Availability and Implementation INTEGRATE-Neo is implemented in C ++ and Python. Full source code and installation instructions are freely available from https://github.com/ChrisMaherLab/INTEGRATE-Neo. Supplementary information Supplementary data are available at Bioinformatics online. </jats:sec

Applying the proto-theory of design to explain and modify the parameter analysis method of conceptual design

This article reports on the outcomes of applying the notions provided by the reconstructed proto-theory of design, based on Aristotle’s remarks, to the parameter analysis (PA) method of conceptual design. Two research questions are addressed: (1) What further clarification and explanation to the approach of PA is provided by the proto-theory? (2) Which conclusions can be drawn from the study of an empirically derived design approach through the proto-theory regarding usefulness, validity and range of that theory? An overview of PA and an application example illustrate its present model and unique characteristics. Then, seven features of the proto-theory are explained and demonstrated through geometrical problem solving and analogies are drawn between these features and the corresponding ideas in modern design thinking. Historical and current uses of the terms analysis and synthesis in design are also outlined and contrasted, showing that caution should be exercised when applying them. Consequences regarding the design moves, process and strategy of PA allow proposing modifications to its model, while demonstrating how the ancient method of analysis can contribute to better understanding of contemporary design-theoretic issues

The spectral response of spontaneous EEG occipital alpha activity

University of Technology, Sydney. Faculty of Science.The desynchronisation and temporal response of the spontaneous EEG occipital alpha activity in the 8-13 Hz frequency band to a range of luminances and wavelengths from spectrally characterised illumination-sources under homogeneous viewing conditions, with and without the presence of foveal perturbations were examined. Insufficient evidence in the literature to substantiate the effect on occipital alpha to varying luminance conditions and the necessity of such knowledge for the operation of an environmental control system (ECS) provided the impetus for the work. A series of experiments were conducted in uniformly illuminated unpatterned visual fields provided by a sheet of white paper and an integrating sphere. Luminances in the range 2.6x10'5- 900 cd/m2 and peak wavelengths of 454 nm, 529 nm, 600 nm and 658 nm, for narrow band sources and white light were investigated. Results show that, (i) ECS operation based on the increased amplitude of alpha activity on eye closure is viable in the luminance range 2.6x10'4-900 cd/m2, (ii) Occipital alpha activity, in terms of maximum frequency, maximum amplitude and the frequency integrated amplitude, during the first 20 s of homogeneous visual stimulation or on fixation on a foveal perturbation in the field is equivalent to viewing in a typical patterned environment and (iii) Chromatic homogeneous stimulation effects ongoing alpha activity with respect to a wavelength dependency and a decrease in alpha amplitude on eye closure. The homogeneity of the visual field provides strong evidence of the occipital alpha wave behaviour in a such a visual field. The findings are at variance with previous reports because it is shown, (i) that the alpha amplitude in a homogeneous visual field does not increase to the amplitude observed on eye closure, (ii) that alpha behaviour is dependent on wavelength and (iii) that attenuation of alpha activity is observed on eye closure under red green and blue homogenous visual stimulation

An Efficient Automatic Mass Classification Method In Digitized Mammograms Using Artificial Neural Network

In this paper we present an efficient computer aided mass classification method in digitized mammograms using Artificial Neural Network (ANN), which performs benign-malignant classification on region of interest (ROI) that contains mass. One of the major mammographic characteristics for mass classification is texture. ANN exploits this important factor to classify the mass into benign or malignant. The statistical textural features used in characterizing the masses are mean, standard deviation, entropy, skewness, kurtosis and uniformity. The main aim of the method is to increase the effectiveness and efficiency of the classification process in an objective manner to reduce the numbers of false-positive of malignancies. Three layers artificial neural network (ANN) with seven features was proposed for classifying the marked regions into benign and malignant and 90.91% sensitivity and 83.87% specificity is achieved that is very much promising compare to the radiologist's sensitivity 75%.Comment: 13 pages, 10 figure