Further Transformation Techniques

1970 ◽  
pp. 27-34
Author(s):  
J. R. Branfield ◽  
A. W. Bell
Keyword(s):  
Transformation Techniques

Addicted to Christ

2018 ◽  
Author(s):  
Helena Hansen
Keyword(s):  
Cultural Anthropology ◽  
Domestic Space ◽  
Spiritual Power ◽  
Transformation Techniques ◽  
Industrial Culture ◽  
Depth Analysis ◽  
Alternative Masculinities ◽  
Street Corner ◽  
Post Industrial ◽  
The U.S

How are spiritual power and self-transformation cultivated in street ministries? This book provides an in-depth analysis of Pentecostal ministries in Puerto Rico that were founded and run by self-identified “ex-addicts,” ministries that are also widespread in poor Black and Latino neighborhoods in the U.S. mainland. The book melds cultural anthropology and psychiatry. Through the stories of ministry converts, the book examines key elements of Pentecostalism: mysticism, ascetic practice, and the idea of other-worldliness. It then reconstructs the ministries' strategies of spiritual victory over addiction: transformation techniques to build spiritual strength and authority through pain and discipline; cultivation of alternative masculinities based on male converts' reclamation of domestic space; and radical rupture from a post-industrial “culture of disposability.” By contrasting the ministries' logic of addiction with that of biomedicine, the book rethinks roads to recovery, discovering unexpected convergences with biomedicine while revealing the allure of street corner ministries.

TRANSFORMATION OF NESTED LOOPS WITH MODULO INDEXING TO AFFINE RECURRENCES

1994 ◽  
Vol 04 (03) ◽  
pp. 271-280 ◽  
Author(s):  
FLORIN BALASA ◽  
FRANK H.M. FRANSSEN ◽  
FRANCKY V.M. CATTHOOR ◽  
HUGO J. DE MAN
Keyword(s):  
Code Generation ◽  
State Of The Art ◽  
Transformation Method ◽  
Control Flow ◽  
Code Optimization ◽  
Transformation Techniques ◽  
Hermite Normal Form ◽  
Nested Loops ◽  
Affine Functions ◽  
Systems Transformation

For multi-dimensional (M-D) signal and data processing systems, transformation of algorithmic specifications is a major instrument both in code optimization and code generation for parallelizing compilers and in control flow optimization as a preprocessor for architecture synthesis. State-of-the-art transformation techniques are limited to affine index expressions. This is however not sufficient for many important applications in image, speech and numerical processing. In this paper, a novel transformation method is introduced, oriented to the subclass of algorithm specifications that contains modulo expressions of affine functions to index M-D signals. The method employs extensively the concept of Hermite normal form. The transformation method can be carried out in polynomial time, applying only integer arithmetic.

Vertical soil-structure interaction effects

1979 ◽  
Vol 69 (1) ◽  
pp. 221-236
Author(s):  
R. R. Little ◽  
D. D. Raftopoulos
Keyword(s):  
Nuclear Power ◽  
Soil Structure ◽  
Power Plants ◽  
Structural Model ◽  
Free Field ◽  
Interaction Effects ◽  
Soil Structure Interaction ◽  
Response Curves ◽  
Transformation Techniques ◽  
Structure Interaction

abstract An analytical expression describing the three-dimensional vertical soil-structure interaction effects is developed using Laplace and Hankel transformation techniques. Utilizing these transformation techniques and normal mode theory of vibration, an N-mass structural model is coupled to an elastic half-space representing the earth. The resulting interaction equation is solved by numerical iteration techniques for a model of a nuclear power plant subjected to actual earthquake ground excitation. The effects of the soil-structure interaction are evaluated by comparing free-field acceleration spectrum response curves with similar curves determined from the foundation motion. These effects are found to be significant for structures typical of modern nuclear power plants subjected to seismic ground motions.

scholarly journals Nanolipoprotein mediated Her2 protein transfection induces malignant transformation in human breast acinar cultures

2020 ◽  
Author(s):  
Wei He ◽  
Angela C. Evans ◽  
Matthew Coleman ◽  
Claire Robertson
Keyword(s):  
Breast Cancer ◽  
Malignant Transformation ◽  
Cell Surface Receptor ◽  
Cell Phenotype ◽  
Her2 Overexpression ◽  
Malignant Cells ◽  
Transformation Techniques ◽  
Her2 Protein ◽  
Surface Receptor ◽  
Protein Transfection

AbstractHer2 overexpression is associated with an aggressive form of breast cancer and malignant transformation. We sought to determine if a nano-carrier system could introduce Her2 protein to non-malignant cells and determine the effects on cell phenotype and transcriptome. With stimulation with Her2-NLPs, we observed uptake of Her2 protein and a decreased probability of individual non-malignant cells forming polar growth arrested acinar-like structures. The NLP delivery system alone or Her2-NLPs plus trastuzumab showed no effect on acinar organization rate. Transcriptomics revealed essentially no effect of empty NLPs versus untreated cells whereas Her2-NLPs versus either untreated or empty NLP treated cells revealed upregulation of several factors associated with breast cancer. Pathway analysis also suggested that known nodes downstream of Her2 were activated in response to Her2-NLP treatment. This suggests that Her2-NLPs are sufficient for malignant transformation of non-malignant cells and that this system offers a new model for studying cell surface receptor signaling without genomic modification or transformation techniques.

scholarly journals Data Transformation Techniques for Academic Datasets

2019 ◽  
Vol 9 (1) ◽  
pp. 2214-2218
Keyword(s):  
Data Mining ◽  
Life Cycle ◽  
Data Preprocessing ◽  
Data Normalization ◽  
Multi Layer Perceptron ◽  
Data Preparation ◽  
Transformation Techniques ◽  
Development Life Cycle ◽  
Heterogeneous Datasets ◽  
Mining Model

Data mining is a real-world procedure of discovering useful patterns from heterogeneous datasets. All most all industry uses data mining in their day to day activities. To build an effective mining model, a series of development steps are to be followed. It starts with discovering the business problem and ends with communicating the results. In this development life cycle, the most important step is data preparation or data preprocessing. Data preprocessing is converting raw data into data understandable by the machine. Data normalization is a phase in data preprocessing where the data values are scaled to 0 and 1. Right normalization of the datasets leads to improved mining results. In this paper, academic data of students is taken. The dataset is normalization using six normalization technique. Multi Layer Perceptron classifier is applied to normalized dataset and results are obtained. Results of this study reveal the best normalization technique which can be used for normalizing academic datasets. Finally, in a line, the goal of this work is to discover the best normalization technique which produces better mining result when applied to academic datasets.

scholarly journals Cryptographic Protocol Verification via Supercompilation (A Case Study)

10.29007/gpsh ◽  
2018 ◽  
Author(s):  
Abdulbasit Ahmed ◽  
Alexei Lisitsa ◽  
Andrei Nemytykh
Keyword(s):  
Program Transformation ◽  
Cache Coherence ◽  
Protocol Verification ◽  
Cryptographic Protocol ◽  
Levels Of Abstraction ◽  
Transformation Techniques ◽  
Program Specialization ◽  
Coherence Protocols ◽  
Different Levels

It has been known for a while that program transformation techniques, in particular, program specialization, can be used to prove the properties of programs automatically. For example, if a program actually implements (in a given context of use) a constant function, sufficiently powerful and semantics preserving program transformation may reduce the program to a syntactically trivial ``constant'' program, pruning unreachable branches and proving thereby the property. Viability of such an approach to verification has been demonstrated in previous works where it was applied to the verification of parameterized cache coherence protocols and Petri Nets models.In this paper we further extend the method and present a case study on its appication to the verification of a cryptographic protocol. The protocol is modeled by functional programs at different levels of abstraction and verification via program specialization is done by using Turchin's supercompilation method.

scholarly journals Survey on Feature Transformation Techniques for Data Streams

2020 ◽  
Author(s):  
Maroua Bahri ◽  
Albert Bifet ◽  
Silviu Maniu ◽  
Heitor Murilo Gomes
Keyword(s):  
Machine Learning ◽  
Data Streams ◽  
Large Data ◽  
High Dimensional ◽  
Feature Transformation ◽  
Transformation Techniques ◽  
Computational Costs ◽  
The Past ◽  
Fundamental Challenge ◽  
Mining Algorithms

Mining high-dimensional data streams poses a fundamental challenge to machine learning as the presence of high numbers of attributes can remarkably degrade any mining task's performance. In the past several years, dimension reduction (DR) approaches have been successfully applied for different purposes (e.g., visualization). Due to their high-computational costs and numerous passes over large data, these approaches pose a hindrance when processing infinite data streams that are potentially high-dimensional. The latter increases the resource-usage of algorithms that could suffer from the curse of dimensionality. To cope with these issues, some techniques for incremental DR have been proposed. In this paper, we provide a survey on reduction approaches designed to handle data streams and highlight the key benefits of using these approaches for stream mining algorithms.

scholarly journals Peculiarities of the Transformation of Asteraceae Family Species: The Cases of Sunflower and Lettuce

2021 ◽  
Vol 12 ◽  
Author(s):  
Flavia Soledad Darqui ◽  
Laura Mabel Radonic ◽  
Valeria Cecilia Beracochea ◽  
H. Esteban Hopp ◽  
Marisa López Bilbao
Keyword(s):  
Genetic Transformation ◽  
Molecular Farming ◽  
Plant Biotechnology ◽  
Transformation Techniques ◽  
Single Compound ◽  
Complete Sequencing ◽  
Plant Families ◽  
Transformation Vectors ◽  
Asteraceae Family

The Asteraceae family is the largest and most diversified family of the Angiosperms, characterized by the presence of numerous clustered inflorescences, which have the appearance of a single compound flower. It is estimated that this family represents around 10% of all flowered species, with a great biodiversity, covering all environments on the planet, except Antarctica. Also, it includes economically important crops, such as lettuce, sunflower, and chrysanthemum; wild flowers; herbs, and several species that produce molecules with pharmacological properties. Nevertheless, the biotechnological improvement of this family is limited to a few species and their genetic transformation was achieved later than in other plant families. Lettuce (Lactuca sativa L.) is a model species in molecular biology and plant biotechnology that has easily adapted to tissue culture, with efficient shoot regeneration from different tissues, organs, cells, and protoplasts. Due to this plasticity, it was possible to obtain transgenic plants tolerant to biotic or abiotic stresses as well as for the production of commercially interesting molecules (molecular farming). These advances, together with the complete sequencing of lettuce genome allowed the rapid adoption of gene editing using the CRISPR system. On the other hand, sunflower (Helianthus annuus L.) is a species that for years was considered recalcitrant to in vitro culture. Although this difficulty was overcome and some publications were made on sunflower genetic transformation, until now there is no transgenic variety commercialized or authorized for cultivation. In this article, we review similarities (such as avoiding the utilization of the CaMV35S promoter in transformation vectors) and differences (such as transformation efficiency) in the state of the art of genetic transformation techniques performed in these two species.

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