The Ecstasy of Economics: the Evolution of Sergei Eisenstein\u27s the Old and the New

In my thesis, I analyze the development of the most often forgotten work by Soviet director Sergei Eisenstein ¿ The Old and the New. The production of the film from 1926 to 1929 was during a tumultuous period of economic transition during the Soviet Union when the socialist state moved from the mixed markets of the New Economic Policy (NEP) to the centralized planning of the First Five-Year Plan. The development of The Old and the New mirrors the economic period. I analyze how Eisenstein actively adapted his cinematic practice to accommodate the changing landscape of Soviet economic policy. Additionally, I explore the influence that Eisenstein\u27s work on an uncompleted film adaptation of Karl Marx\u27s Capital had on the development of his theories of montage and his completion of The Old and the New. I argue that Eisenstein\u27s theories of montage were transformed by his studying of Marx\u27s dialectical method, and, as a result, his completed version of The Old and the New differs significantly from its original conception as The General Line. Finally, I evaluate the ways in which Eisenstein sought to inspire economic development. From this I develop my theory of the ecstasy of economics. Epitomized by the most famous scene of the film the cream separator scene, Eisenstein works to infuse a sense of fervor around the idea of collectivization and development. The protagonist Marfa experiences a moment of pure bliss, while kneeling before the cream separator, which not only inspires her to transform her village, but strives to provoke the whole of the Soviet Union toward the same ecstasy of economics that Eisenstein envisioned

Culture of alfalfa

Discusses the importance of deep plowing land and sowing alfalfa before planting, as well as the cost of it and how much rain can affect the production. Includes images of the Lower Rio Grande and Orange Grove.https://scholarworks.utrgv.edu/gulfcoastmag/1031/thumbnail.jp

Factoring LP Block-Angular Bases

A factorization of the basis for any block-angular 12 model is presented, and its inverse is shown to be readily maintainable as piecemeal product-forms plus possible additional columns. Straightforward rules for piecemeal transformation of full rows and columns are given.

Border Detection on Digitized Skin Tumor Images

A radial search technique is presented for detecting skin tumor borders in clinical dermatology images. First, it includes two rounds of radial search based on the same tumor center. The first-round search is independent, and the second-round search is knowledge-based tracking. Then a rescan with a new center is used to solve the blind-spot problem. The algorithm is tested on model images with excellent performance, and on 300 real clinical images with a satisfactory resul

Neural Networks Skin Tumor Diagnostic System

In this study, a malignant melanoma diagnostic system is designed using a straightforward neural network with the back-propagation learning algorithm. Eleven features are automatically extracted from skin tumor images. The correct diagnostic rate of this system is better than the average rate of 16 dermatologists who based their diagnosis with only the slide images

A Novel Morphological Operator to Calculate Euler Number

This paper introduces a novel morphological operator to calculate the Euler number for binary images. The operator is based on the condition of eight-connectedness for foreground and four-connectedness for background. It is significantly faster than the previous operators. The morphological operations used in border detection are discusse

Detection of Solid Pigment in Dermatoscopy Images using Texture Analysis

Background/aims: Epiluminescence microscopy (ELM), also known as dermoscopy or dermatoscopy, is a non-invasive, in vivo technique, that permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. ELM offers a completely new range of visual features. One such feature is the solid pigment, also called the blotchy pigment or dark structureless area. Our goal was to automatically detect this feature and determine whether its presence is useful in distinguishing benign from malignant pigmented lesions. Methods: Here, a texture-based algorithm is developed for the detection of solid pigment. The factors d and a used in calculating neighboring gray level dependence matrix (NGLDM) numbers were chosen as optimum by experimentation. The algorithms are tested on a set of 37 images. A new index is presented for separation of benign and malignant lesions, based on the presence of solid pigment in the periphery. Results: The NGLDM large number emphasis N2 was satisfactory for the detection of the solid pigment. Nine lesions had solid pigment detected, and among our 37 lesions, no melanoma lacked solid pigment. The index for separation of benign and malignant lesions was applied to the nine lesions. We were able to separate the benign lesions with solid pigment from the malignant lesions with the exception of only one lesion, a Spitz nevus that mimicked a malignant melanoma. Conclusion: Texture methods may be useful in detecting important dermatoscopy features in digitized images and a new index may be useful in separating benign from malignant lesions. Testing on a larger set of lesions is needed before further conclusions can be made