106 research outputs found
WILLIAM KENRICK, "PREFACE TO ELOISA BY J.J. ROUSSEAU" (1761)
No full textELOISA : BY J.J. ROUSSEAU, PREFACE By the Translator [William Kenrick], 4 vols. London : Griffiths, Becket and De Hondt, 1761. Read the French translation Download the bilingual version of the text (pdf) William Kenrick (1729/30-1779) was a typical eighteenth-century hackwriter. He is the author of verse satires and plays (some of which were successful), he was a contributor to and editor of several periodicals, he gave public lectures on Shakespeare, he is the author of a dictionary of the E..
WILLIAM KENRICK, "PREFACE TO ELOISA BY J.J. ROUSSEAU" (1761)
No full textELOISA : BY J.J. ROUSSEAU, PREFACE By the Translator [William Kenrick], 4 vols. London : Griffiths, Becket and De Hondt, 1761. Read the French translation Download the bilingual version of the text (pdf) William Kenrick (1729/30-1779) was a typical eighteenth-century hackwriter. He is the author of verse satires and plays (some of which were successful), he was a contributor to and editor of several periodicals, he gave public lectures on Shakespeare, he is the author of a dictionary of the E..
PENGARUH PROFITABILITAS DAN LEVERAGE TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN INDUSTRI MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
No full textThis research was conducted with the aim of determining whether there is an effect of profitability and Leverage on company value. The population in this study is food and beverage industry companies listed on the Indonesia Stock Exchange in 2020-2022. The total sample used was 25 companies over a 3-year period totaling 75 company data. Hypothesis testing is performed by multiple regression analysis. The results of this study show that profitability has a positive effect on the value of the Company, while Leverage has a negative effect on the value of the Company
Observations on Soame Jenyns's View of the internal evidence of the Christian religion; addressed to its almost-Christian author. By W. Kenrick, LL.D
No full textObservations on Soame Jenyns's View of the internal evidence of the Christian religion; addressed to its almost-Christian author. By W. Kenrick, LL.D
No full textObservations on Soame Jenyns's View of the internal evidence of the Christian religion; addressed to its almost-Christian author. By W. Kenrick, LL.D:
No full textxii,225,[3]p. ; 12⁰.With a final leaf of errata.Reproduction of original from the British Library.English Short Title Catalog, ESTCT81102.Electronic data. Farmington Hills, Mich. : Thomson Gale, 2003. Page image (PNG). Digitized image of the microfilm version produced in Woodbridge, CT by Research Publications, 1982-2002 (later known as Primary Source Microfilm, an imprint of the Gale Group)
Intertwining operators in inverse scattering
No full textIn these notes we are going to present a technique which is a multi-dimensional analogue of some methods which are nowadays standard inscattering theory on the real line for the Schrödinger operator. These methods are based on the construction of operators intertwining the Schrödinger operator with the free operator, obtained when the potential term is removed. The multi-dimensional technique using intertwining operators as a tool for the study of Schrödinger operators has its origin in a famous paper by L. D. Faddeev. Various extensions of this technique have been developed during the last years by the second author of this article
Real-time Adaptive Nonlinear MPC for Collision Imminent Control and Planning in Automated Vehicles: Enforcing constraints and utilizing the full control potential
No full textWith the introduction of autonomous vehicles on public roads, their performance in emergency situations has become a strong focus. Collision Imminent Control (CIC) concerns the planning and control of aggressive evasive maneuvers for collision avoidance of automated vehicles. CIC is implemented using adaptive Nonlinear Model Predictive Control (NMPC), which considers obstacles and road barriers for combined trajectory re-planning and control. To achieve real-time performance, the prediction model complexity is often reduced, which can lead to an under-utilization of the control potential. The aim of CIC is to use as much of the control potential of the vehicle as possible while remaining real-time viable. In this research, CIC is implemented using objective-based collision avoidance based on the distance to obstacles and road boundaries. Different collision avoidance formulations were derived and compared on accuracy and real-time performance. The control potential of the vehicle was further exploited by a computationally efficient vehicle model that employs differential braking. The NMPC problem is solved using Sequential Quadratic Programming (SQP) with Real Time Iterations (RTI). Different techniques that reduce the computation time were compared. Sparse solvers and variable timesteps were found to be most significant. The robustness of the controller was improved by friction estimation. The controller is furthermore demonstrated to work on highly curved roads and in scenarios with dynamic obstacles. The controller is implemented on the hardware of a real autonomous vehicle and simulated on a closed-loop embedded system. Combining all these elements results in a CIC controller that can apply more control potential and reach control frequencies upwards of 100 Hz, increasing the level of safety in vehicle collision avoidance.Double degree in Mechanical Engineering | Systems and Control and Electrical Engineering | Embedded SystemsMechanical Engineering | Systems and ControlElectrical Engineering | Embedded System
Evaluation of hidden layer architecture in neural networks for mRNA backtranslation, 2003
No full textMany biological experiments require a protein sequence to be translated to the nucleic acid sequence that codes for it or require an investigator to possess a means to backtranslate a protein to its amino acid sequence. However, the degenerate nature of the genetic code greatly frustrates this process through ambiguities in the wobble bases. One possible solution to this dilemma is to predict codon usage frequencies for a target organism through use of an Artificial Neural Network. Consequently, a Neural Network was trained on amino and nucleic acid sequences to determine the networks capacity in accurate predictions for a twenty amino acid window. Moreover, 10 different network architectures were surveyed to ascertain which one yields optimum (least error) results when trained on the same nucleic acid sequences. The winning architecture was examined using two new training sets that have been partitioned into those with high bias and those with low bias for mRNA secondary structure. The more negative the bias, the more secondary structure it will have, whereas less negative bias will display less secondary structure. Testing of these two training sets revealed that the neural network was able to distinguish between the two sets; i.e., the training set with greater secondary structure learned the patterns in less training cycles and produced a lower error when compared to the training set with less secondary structure given the same network architecture. Ultimately, this work might be beneficial as a computation tool for backtranslation in degenerate PCR cloning and in identifying the unknown coding regions in genes
They're Trying to Steal the Pan
No full text“There are forces at work today trying to wrest from Trinbagonian Africans the ownership of the steelband”. This was stated emphatically by Kenrick Thomas, the author of a new book entitled Panriga— Tacarigua's Contribution to the Evolution of the Steelband Phenomenon in Trinidad and Tobago. Thomas also disagrees with those who claim that only people from Port of Spain contributed to steelpan and has written the book to show how the pan developed
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