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Journal articles on the topic 'Wilkes machine'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Katsikopoulos, Konstantinos V. "Human and Artificial Decision Making." Croatian journal of philosophy 24, no. 72 (2024): 387–97. https://doi.org/10.52685/cjp.24.72.5.

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Machines can now match, or outperform, human performance in several reasoning and decision tasks. Some say that all that intelligence amounts to is smart computation. This is not a new thesis, dating back to Leibniz as well as Simon and Newell, but what is new is what smart means. Today it is identified with complex statistics and optimisation. Simon’s meaning, however, of smart rested on bounded rationality, a unified view of human and artificial decision making. This view was f l eshed out by Gigerenzer as fast-and-frugal heuristics. Interestingly, such heuristics are typically sparse, as so

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Morrissey, Sara. "Yorick Wilks, Machine Translation: Its Scope and Limits." Machine Translation 23, no. 4 (2009): 265–67. http://dx.doi.org/10.1007/s10590-009-9067-4.

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Widman, Adam, Alexandre P. Cheng, Aaron Sossin, et al. "Abstract 337: Balanced-strand sequencing for highly efficient duplex variant calling in circulating tumor DNA." Cancer Research 84, no. 6_Supplement (2024): 337. http://dx.doi.org/10.1158/1538-7445.am2024-337.

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Abstract Several approaches for the detection of circulating tumor DNA (ctDNA) are anchored in the accurate identification of cancer-specific single nucleotide variants (SNVs) in plasma. Such approaches are limited in ultra-low tumor fraction (TF) contexts, such as early cancer detection or the identification of postoperative minimal residual disease, where ctDNA SNVs are difficult to distinguish against background sequencing error. ctDNA detection in these critical low TF contexts is further limited by the sparse amount of cell free DNA (cfDNA) in plasma (Zviran et al., 2020). To reduce singl

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Assaad, Majd Al, Michael Sigouros, Jyothi Manohar, et al. "Abstract 2143: Cancer of unknown Primary (CUP): Beyond the identification of the site of origin by an integrative genomic approach." Cancer Research 83, no. 7_Supplement (2023): 2143. http://dx.doi.org/10.1158/1538-7445.am2023-2143.

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Abstract CUP is a relatively common diagnosis that accounts for 3-9% of all cancers. The prognosis is poor with median survival of approximately 9 months. The identification of the primary tumor and therapy targets could improve the survival of these patients. We employed the BostonGene Tumor PortraitTM platform to interrogate 19 CUP cases. Trained on &gt;19,000 samples and validated on 28,000 samples from independent datasets, the machine-learning based algorithm integrates whole-exome and RNA sequencing (WES and RNAseq) analysis to characterize cancer drivers, the tumor microenvironment,

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Rodriguez, Paul. "Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting." Neural Computation 13, no. 9 (2001): 2093–118. http://dx.doi.org/10.1162/089976601750399326.

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It has been shown that if a recurrent neural network (RNN) learns to process a regular language, one can extract a finite-state machine (FSM) by treating regions of phase-space as FSM states. However, it has also been shown that one can construct an RNN to implement Turing machines by using RNN dynamics as counters. But how does a network learn languages that require counting? Rodriguez, Wiles, and Elman (1999) showed that a simple recurrent network (SRN) can learn to process a simple context-free language (CFL) by counting up and down. This article extends that to show a range of language tas

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Nashat, S., та M. Z. Abdullah. "Multi-class colour inspection of baked foods featuring support vector machine and Wilk’s λ analysis". Journal of Food Engineering 101, № 4 (2010): 370–80. http://dx.doi.org/10.1016/j.jfoodeng.2010.07.022.

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Istomin, Vladimir A., and Semen A. Pavlov. "Suitability of different machine learning methods for high-speed flow modeling issues." Cybernetics and Physics, Volume 12, 2023, Number 4 (December 31, 2023): 264–74. http://dx.doi.org/10.35470/2226-4116-2023-12-4-264-274.

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In the present study, machine learning algorithms are applied for modeling transport coefficients in strongly nonequilibrium reacting gas flows. As a model case, the problem of a hypersonic flow of a five-component air mixture around a sphere is considered. Various approaches for an application of machine learning methods, such as linear regression, k-nearest neighbors, support vector machine, regression tree, random forest, gradient boosting, and neural network (multilayer perceptron) are investigated. For the transport coefficients regression modeling the combination of machine learning meth

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Chelishchev, Petr, Aleksandr Popov, and Knut Sørby. "Robust Estimation of Optimal Sample Size for CMM Measurements with Statistical Tolerance Limits." MATEC Web of Conferences 220 (2018): 04001. http://dx.doi.org/10.1051/matecconf/201822004001.

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The paper proposes the kernel probability density function approach to estimate the distribution of measurements on a part which is measured in a coordinate measuring machine (CMM). The study is based on the experimental data derived from internal cylinder measurements. The distribution free model suggested by Wilks was used as a reference for the selection of the sample size. Three cross sections of a cylinder were measured regarding to this reference. The work defines the minimum required sample size for obtaining at least 0.95 proportion of radius variation for particular studied cylindrica

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Khan, Tanveer, Mindaugas Budzys, Khoa Nguyen, and Antonis Michalas. "SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training." Proceedings on Privacy Enhancing Technologies 2024, no. 3 (2024): 144–64. http://dx.doi.org/10.56553/popets-2024-0072.

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Machine Learning (ML), addresses a multitude of complex issues in multiple disciplines, including social sciences, finance, and medical research. ML models require substantial computing power and are only as powerful as the data utilized. Due to the high computational cost of ML methods, data scientists frequently use Machine Learning-as-a-Service (MLaaS) to outsource computation to external servers. However, when working with private information, like financial data or health records, outsourcing the computation might result in privacy issues. Recent advances in Privacy-Preserving Techniques

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Li, Kailong, Guohe Huang, and Brian Baetz. "Development of a Wilks feature importance method with improved variable rankings for supporting hydrological inference and modelling." Hydrology and Earth System Sciences 25, no. 9 (2021): 4947–66. http://dx.doi.org/10.5194/hess-25-4947-2021.

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Abstract. Feature importance has been a popular approach for machine learning models to investigate the relative significance of model predictors. In this study, we developed a Wilks feature importance (WFI) method for hydrological inference. Compared with conventional feature importance methods such as permutation feature importance (PFI) and mean decrease impurity (MDI), the proposed WFI aims to provide more reliable variable rankings for hydrological inference. To achieve this, WFI measures the importance scores based on Wilks Λ (a test statistic that can be used to distinguish the differen

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Lin, Jian-Da, Frank Yeung, Cooper Devlin, et al. "Integration of multi-omics data from re-wilded laboratory mice to identify key parameters that determine immune heterogeneity and activation." Journal of Immunology 202, no. 1_Supplement (2019): 131.3. http://dx.doi.org/10.4049/jimmunol.202.supp.131.3.

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Abstract Current research on immunology are largely based on clean laboratory mice kept in specific pathogen free (SPF) environments. They have the advantage of being inbred, genetically homogeneous and can be manipulated genetically in disease models. However, humans as with all free-living mammals face a more complex environment and are exposed to various food resources, microbial experiences, thermogenic changes, and must constantly respond to environmental challenges. We have established a unique experimental system in which laboratory mice are “re-wilded” through release into an outdoor e

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Diez, Pablo F., Vicente A. Mut, Eric Laciar, Abel Torres, and Enrique M. Avila Perona. "FEATURES EXTRACTION METHOD FOR BRAIN-MACHINE COMMUNICATION BASED ON THE EMPIRICAL MODE DECOMPOSITION." Biomedical Engineering: Applications, Basis and Communications 25, no. 06 (2013): 1350058. http://dx.doi.org/10.4015/s1016237213500580.

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A brain-machine interface (BMI) is a communication system that translates human brain activity into commands, and then these commands are conveyed to a machine or a computer. It is proposes a technique for features extraction from electroencephalographic (EEG) signals and afterward, their classification on different mental tasks. The empirical mode decomposition (EMD) is a method capable of processing non-stationary and nonlinear signals, as the EEG. The EMD was applied on EEG signals of seven subjects performing five mental tasks. Six features were computed, namely, root mean square (RMS), va

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Giannakis, Konstantinos, Georgia Theocharopoulou, Christos Papalitsas, Sofia Fanarioti, and Theodore Andronikos. "Quantum Conditional Strategies and Automata for Prisoners’ Dilemmata under the EWL Scheme." Applied Sciences 9, no. 13 (2019): 2635. http://dx.doi.org/10.3390/app9132635.

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Classical game theory is an important field with a long tradition of useful results. Recently, the quantum versions of classical games, such as the prisoner’s dilemma (PD), have attracted a lot of attention. This game variant can be considered as a specific type of game where the player’s actions and strategies are formed using notions from quantum computation. Similarly, state machines, and specifically finite automata, have also been under constant and thorough study for plenty of reasons. The quantum analogues of these abstract machines, like the quantum finite automata, have been studied e

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Hakim, Rahman, Amar Makruf, Ahmad Nurasa, Widodo Widodo, and Irvan Wahyudi. "PENGARUH VARIASI METERING STROKE TERHADAP CACAT PRODUK CETAKAN INJEKSI PLASTIK." JTT (Jurnal Teknologi Terapan) 6, no. 2 (2020): 142. http://dx.doi.org/10.31884/jtt.v6i2.262.

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The research aims to analyze the effect of metering stroke on product quality. Metering strokes relate to product weight and mold capacity. The material used is Polyamide (Nylon) 66, using an ENGEL 50ton capacity Injection Molding machine. The research method used is an experimental method before mass pre-production with stroke metering variation as a production parameter. A normality test was used to investigate the experimental data. Shapiro-Wilk's formula on Minitab® software was used to process the data. Product defects caused by an improper metering stroke often in the injection process a

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Beito, David T. "Isabel Paterson and the Idea of America." Journal of Ayn Rand Studies 8, no. 2 (2007): 261–69. http://dx.doi.org/10.2307/41551402.

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Abstract Stephen Cox's book, The Woman and the Dynamo: Isabel Paterson and the Idea of America, is a wellwritten, thoughtful, and exhaustively researched biography of a key pioneer in the libertarian movement. Isabel Paterson, who was a mentor to and close friend of Ayn Rand, had an accomplished career in her own right. From the 1920s to 1940s, she was a nationally respected, and sometimes feared, literary critic and best-selling novelist. Her masterwork, The God of the Machine, appeared in the same year as The Fountainhead and The Discovery of Freedom by Rose Wilder Lane.

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Beito, David T. "Isabel Paterson and the Idea of America." Journal of Ayn Rand Studies 8, no. 2 (2007): 261–69. http://dx.doi.org/10.5325/jaynrandstud.8.2.0261.

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Abstract Stephen Cox's book, The Woman and the Dynamo: Isabel Paterson and the Idea of America, is a wellwritten, thoughtful, and exhaustively researched biography of a key pioneer in the libertarian movement. Isabel Paterson, who was a mentor to and close friend of Ayn Rand, had an accomplished career in her own right. From the 1920s to 1940s, she was a nationally respected, and sometimes feared, literary critic and best-selling novelist. Her masterwork, The God of the Machine, appeared in the same year as The Fountainhead and The Discovery of Freedom by Rose Wilder Lane.

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Emile, Beukes, and Coetzer Johannes. "Hand vein-based biometric authentication with convolutional neural networks and support vector machines." International Journal of Recent Research in Electrical and Electronics Engineering 9, no. 3 (2022): 12–31. https://doi.org/10.5281/zenodo.6961864.

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<strong>Abstract:</strong> The viability of utilising a convolutional neural network-based (CNN-based) feature extractor together with a support vector machine (SVM) for the purpose of identity verification by means of near infra-red (NIR) images of individuals’ dorsal hand vein patterns is investigated in this paper. More specifically, this study aims to determine whether the utilisation of an SVM, instead of a typical softmax classifier, may lead to an increase in system performance within the context of hand vein-based authentication using CNNs. The proficiency of a variety of novel h

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Aniceto, José P. S., Bruno Zêzere, and Carlos M. Silva. "Predictive Models for the Binary Diffusion Coefficient at Infinite Dilution in Polar and Nonpolar Fluids." Materials 14, no. 3 (2021): 542. http://dx.doi.org/10.3390/ma14030542.

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Experimental diffusivities are scarcely available, though their knowledge is essential to model rate-controlled processes. In this work various machine learning models to estimate diffusivities in polar and nonpolar solvents (except water and supercritical CO2) were developed. Such models were trained on a database of 90 polar systems (1431 points) and 154 nonpolar systems (1129 points) with data on 20 properties. Five machine learning algorithms were evaluated: multilinear regression, k-nearest neighbors, decision tree, and two ensemble methods (random forest and gradient boosted). For both p

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Trehan, Mridula, Deeksha Bhanotia, Tarannum Alam Shaikh, Shivangi Sharma, and Sunil Sharma. "Artificial intelligence-based automated model for prediction of extraction using neural network machine learning: A scope and performance analysis." Journal of Contemporary Orthodontics 7, no. 4 (2023): 281–86. http://dx.doi.org/10.18231/j.jco.2023.048.

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To compare the Artificial Intelligence based model & conventional technique for prediction of extraction in orthodontic treatment plan. A comparative study was conducted on total 700 patients, who were divided into training set and testing set based on simple random sampling by means of computer generated random numbers. The photographs of the 630 patients [training set] along with the treatment plan finalized for them based on Arch Perimeter & Carey’s Analysis, was fed in the AI model [convolutional neural network (ResNet-50)] in order to train it for the stipulated function of eventu

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Wei, Xin Jiang, Jie Hong, and Gang Wei. "Impact of Double-O-Tube Shield Tunnel Construction on Grillage Beams Foundation Frame Building." Applied Mechanics and Materials 71-78 (July 2011): 32–36. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.32.

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Considering the interaction of building-soil-tunnel, the grillage beams foundation frame building vertical crossed by Double-O-Tube (DOT) shield tunnel was simulated by 3D MIDAS/ GTS software, and the impact of construction on the building was analyzed. The results show that: the ground settlement trough caused by DOT shield tunnel can be fitted by peck formula; during the passage of the shield tunneling through the building, the settlement of the building increased and settlement trough was wilder; the settlement was stable and had a little rebound when shield machine already passed the build

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Zahariev, Andrey, Dragomir Iliev, and Daniela Ilieva. "Artificial Intelligence in Business – Financial, Economic and Marketing Aspects." Strategies for Policy in Science and Education-Strategii na Obrazovatelnata i Nauchnata Politika 32, no. 5s (2024): 23–34. https://doi.org/10.53656/str2024-5s-2-art.

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The first quarter of the 21st century marked global engineering progress that surpassed even the wildest predictions of futurist researchers. The modern technological revolution has successfully rediscovered three supporting capital foundations, finding their constant revaluation and development through intellectual capital, industrial capital and financial capital. As a connecting link between them, we can categorically define аrtificial intelligence, with its genetic code – the Machine learning. Estimates for the net effect of the deployment of Artificial intelligence on global GDP are to ad

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R. Gurunadha, Et al. "Analysis of Fault Detection in Analog Circuits Using WSF-SKC Optimized SVM Technique." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 4759–66. http://dx.doi.org/10.17762/ijritcc.v11i9.10028.

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Many industrial applications and control systems depend heavily on analogue electrical circuitry. The conventional method of diagnosing such circuit faults can be time-consuming and erroneous, which might have a severe impact on the industrial output. The fault detection and analysing of analogue circuits with intelligent effective model is proposed in this work. The suggested technique primarily consists of two main stages one is extraction of features and the other is classification of faults. The analysis is performed on the response of frequency in analogue circuits. For extracting feature

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Deman, Najat Najm Aldeen, Suliman Mardan Suha, and F. Jaf Saba. "Introduction to Nanotechnology in Control Communications." Journal of Global Scientific Research 9, no. 12 (2024): 3715–35. https://doi.org/10.5281/zenodo.14475458.

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 ABSTRACT  These days, nanotechnology is among the most cutting-edge studies and active research topics in a variety of disciplines, including materials science, chemical [1], electronic, medical [2], as well as civil engineering. Nanotechnology is seen by contemporary science as the next industrial revolution that can open up larger possibilities beyond our wildest dreams in a variety of disciplines. Nanotechnology can offer practical solutions for human-machine interface, memory extension, sensing, and energy-efficient computing in communications engineering. Additionally, manufact

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Piedra, Lissette, and Amelia Karraker. "FINDINGS FROM NSHAP: SOCIAL CONNECTEDNESS, HEALTH INDICATORS, MEDICATION EFFECTS, AND PREDICTING MORTALITY." Innovation in Aging 7, Supplement_1 (2023): 473. http://dx.doi.org/10.1093/geroni/igad104.1557.

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Abstract The National Social Life, Health, and Aging Project’s broad range of both social measures, and objective and self-reported health measures enable detailed analysis of the intersections between these fundamental aspects of older adults’ lives. The papers in this symposium explore various aspects of these topics from different angles. The first explores employment as an important form of social participation, establishing that full-time employment among respondents is associated with better cognitive function, and less ADL and IADL difficulties. The second examines how social isolation

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Mandi, Jayanta, Emir Demirovi?, Peter J. Stuckey, and Tias Guns. "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (2020): 1603–10. http://dx.doi.org/10.1609/aaai.v34i02.5521.

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Combinatorial optimization assumes that all parameters of the optimization problem, e.g. the weights in the objective function, are fixed. Often, these weights are mere estimates and increasingly machine learning techniques are used to for their estimation. Recently, Smart Predict and Optimize (SPO) has been proposed for problems with a linear objective function over the predictions, more specifically linear programming problems. It takes the regret of the predictions on the linear problem into account, by repeatedly solving it during learning. We investigate the use of SPO to solve more reali

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Sreevishnu, S., R. Shyam, and Ms S. Saraswathi M. E. "Advance Sequential Models for Asset Trading: Leveraging LSTM & RNN with Stochastic RSI and MACD Indicators." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2039–45. http://dx.doi.org/10.22214/ijraset.2024.60282.

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Abstract: The goal of stock market prediction is to forecast a company's financial stocks' future worth. The application of machine learning, which creates predictions based on the values of the current stock market indices by training on their prior values, is a recent trend in stock market prediction technologies. Machine learning utilises many models to facilitate accurate and reliable prediction. The study focuses on stock value prediction using regression and LSTM-based machine learning. Considered factors are volume, low, high, open, and closed. We also employ algorithmic trading, which

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Mary Olayemi Femi-falade and Oluwatoyin Catherine Agbonifo. "Students’ Learning Style in An Educational Gaming System: A Twin-Level Prediction Model." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 5 (2025): 885–900. https://doi.org/10.51583/ijltemas.2025.140500093.

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Abstract: Considering how students learn with educational technologies is a necessity in improving learning outcomes in personalized and adaptive learning systems. This research looks into the implementation of a twin predictive model to categorize and predict students’ learning styles within the context of a serious educational game. In particular, the study exploits the Gregory Learning Style Model consisting of Concrete Sequential, Abstract Sequential, Abstract Random, and Concrete Random learners to identify cognitive preference. This study used interaction data from Jo Wilder and the Capi

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Sidorova, Victoria Yurievna, Nikolai Aleksandrovich Popov, Alexander Mikhailovich Guryanov, and Nikolay Vasilievich Dugushkin. "The modern stage of farm animals exterior doctrine’s historical foundations." Agrarian Scientific Journal, no. 2 (February 9, 2025): 97–103. https://doi.org/10.28983/asj.y2025i2pp97-103.

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The doctrine of the farm animals’ exterior was laid down in the 17 th and 19 th centuries by H. Zettegast, K. Bourgelle, St. Belem, G. Wilkens, I. Nathusius and other scientists, and it continues successfully at the present time developing. Certain successes in the theory and practice of the development of the science of animal’s parts of body in the works of Soviet scientists - M.I. Pridorogin, P.N. Kuleshov, I.I. Ivanov and others in the 1950s and 1960s and later were reflected. At that time, herds’ survey and inventory was carried out, various mechanical systems of manure harvesting and fee

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Liu, Bo, Ru Li, Haidong Li, Guangyong You, Shouguang Yan, and Qingxi Tong. "Crop/Weed Discrimination Using a Field Imaging Spectrometer System." Sensors 19, no. 23 (2019): 5154. http://dx.doi.org/10.3390/s19235154.

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Nowadays, sensors begin to play an essential role in smart-agriculture practices. Spectroscopy and the ground-based sensors have inspired widespread interest in the field of weed detection. Most studies focused on detection under ideal conditions, such as indoor or under artificial lighting, and more studies in the actual field environment are needed to test the applicability of this sensor technology. Meanwhile, hyperspectral image data collected by imaging spectrometer often has hundreds of channels and, thus, are large in size and highly redundant in information. Therefore, a key element in

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Dyer, Elizabeth B. "WHITEWASHED AFRICAN FILM SETS: TAYLOR SWIFT’S WILDEST DREAMS AND KING SOLOMON’S MINES - Joseph Kahn, director. Taylor Swift: Wildest Dreams. 2015. 4 minutes. English. World-Wide Release: Big Machine Records. - Compton Bennett and Andrew Marton, directors. King Solomon’s Mines. 1950. 103 minutes. English. U.S., U.K., Belgium, France, West Germany, Finland, Netherlands, Spain, Argentina: MGM." African Studies Review 59, no. 3 (2016): 301–10. http://dx.doi.org/10.1017/asr.2016.93.

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Khaichenko, E. G. "Theatre in Time and Time in Theatre. Tom Stoppard and Others." Art & Culture Studies, no. 2 (June 2025): 10–45. https://doi.org/10.51678/2226-0072-2025-2-10-45.

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The article examines the category of time in relation to theatrical art in its historical development and the change of stylistic eras. It is about the duration of the action, the volume of events depicted, and the understanding of time as a philosophical category. In the ancient era, myths suggested the perception of time as a resting duration. At the same time, the evolution of ancient Greek tragedy itself was associated with the process of formation of the concept of historical time, which fully manifested itself in the Renaissance in W. Shakespeare’s chronicles. On the stage of the 17th ce

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Partin, Alexander, Thomas S. Brettin, Yitan Zhu, et al. "Abstract 5380: Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets." Cancer Research 83, no. 7_Supplement (2023): 5380. http://dx.doi.org/10.1158/1538-7445.am2023-5380.

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Abstract Predictive modeling holds great promise for improving personalized cancer treatment and efficiency of drug development. In recent years, deep learning (DL) has been extensively explored for drug response prediction (DRP), outperforming classical machine learning in prediction generalization to new data. Despite the considerable interest in DRP, no agreed-upon methodology for evaluating and comparing the diverse DL models yet exists. Existing papers generally demonstrate the performance of proposed models using cross-validation within a single cell line dataset and compare with baselin

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Narsaiah, Shivakoti. "A Review on Fauna in National Parks of Hyderabad." Biolife 11, no. 2 (2023): 79–91. https://doi.org/10.5281/zenodo.7908373.

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<strong>Abstract</strong> The conservation of biodiversity is the primary objective of protected areas, such as national parks and sanctuaries. Ecosystems must be stable and healthy to provide essential ecosystem services such as nutrient cycling, climate regulation, air and water purification, and pollination. Our economy and the intrinsic value of species and ecosystems depend on the conservation of biodiversity. National park vegetation protects biodiversity and provides us with clean water, purified air, and other necessities. IUCN defines national parks as areas managed for ecosystem prot

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Karstens, Aimee James, and Nikki H. Stricker. "99 Validation and clinical translation of a remote self-administered cognitive measure and models for cultural and linguistic adaptations through Mayo Test Drive." Journal of the International Neuropsychological Society 29, s1 (2023): 772–73. http://dx.doi.org/10.1017/s1355617723009591.

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Objective:Despite significant recent advances in test development in research settings, neuropsychological tests and normative data used in clinical settings have fallen behind in innovation in terms of empiricism and modality of administration (Bilder & Reise, 2019). Most widely-used test paradigms were initially developed 50-150 years ago with normative data that is often limited to White American-born monolingual English samples (Pugh et al., 2022; Rabin et al., 2016). Few digital tests have successfully translated into clinical use (Collins & Riley, 2016).Participants and Methods:M

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Sim, Malcolm. "PL10 FROM RAMAZZINI TO ROBOTS: THE IMPACT OF NEW TECHNOLOGIES ON OCCUPATIONAL HEALTH." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0011.

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Abstract Bernardino Ramazzini (1633-1714) is the author of the famous treatise De morbis artificum diatriba (Diseases of Workers) and is widely acknowledged as the founder of occupational medicine. In his writings, he set out groundbreaking and innovative principles for identifying and controlling hazards causing diseases in workers at a time when technologies were poorly developed. Since Ramazzini’s time there has been a series of different industrial revolutions, each bringing with it major new technologies. These new technologies have introduced advanced industrial processes, which have con

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ÇETİN, Necati. "Multivariate Machine Learning Approach for Size and Shape Prediction of Sunflower Seeds." Journal of the Institute of Science and Technology, December 1, 2022, 2034–44. http://dx.doi.org/10.21597/jist.1115119.

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Sunflower constitutes an important source of protein, mineral, vitamin, fatty acid, and offer a balanced source of amino acids. Machine learning is mostly performed for the prediction of descriptive attributes in the quality evaluation of foods. In this study physical attributes of two different sunflower varieties (Metinbey and İnegöl Alası) were determined and algorithms were applied for size and shape prediction of these varieties. In addition, five different machine learning predictors were used as Multilayer Perceptron (MLP), Gaussian Processes (GP), Random Forest (RF), k-Nearest Neighbor

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Alsulimani, Osamah, Abdulrahman Alhaddad, Mosa Altassan, Asmaa Bukhari, Lulu Munshi, and Ghalia Sabir. "The Precision of All-on-Four Implant Position Recorded from Three Different CBCT Machines." European Journal of Dentistry, July 23, 2024. http://dx.doi.org/10.1055/s-0044-1788613.

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Abstract Objective To investigate the dimensional discrepancy and degree of deviation of All-on-Four implant position between different cone-beam computed tomography (CBCT) machines. Materials and Methods Four implants (4.5 × 10 mm Superline II, Dentium, South Korea) were placed in an All-on-Four style in an artificial mandible. The jaw was radiated 30 times using three different CBCT machines (Rainbow CT, Dentium; Veraview X800, Morita, Japan; Planmeca Viso G3, Planmeca OY, Finland). A total of 30 Digital Imaging and Communications in Medicine (DICOM) files were exported, n = 10. All-on-Four

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Fügener, Andreas, Jörn Grahl, Alok Gupta, and Wolfgang Ketter. "Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation." Information Systems Research, December 10, 2021. http://dx.doi.org/10.1287/isre.2021.1079.

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A consensus is beginning to emerge that the next phase of artificial intelligence (AI) induction in business organizations will require humans to work with AI in a variety of work arrangements. This article explores the issues related to human capabilities to work with AI. A key to working in many work arrangements is the ability to delegate work to entities that can do them most efficiently. Modern AI can do a remarkable job of efficient delegation to humans because it knows what it knows well and what it does not. Humans, on the other hand, are poor judges of their metaknowledge and are not

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Khan, Faisal Shah, and Ning Bao. "Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud." Frontiers in Artificial Intelligence 4 (November 3, 2021). http://dx.doi.org/10.3389/frai.2021.769392.

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High-frequency trading (HFT) offers an excellent use case and a potential killer application of the commercially available, first generation quasi-quantum computers. To this end, we offer here a simple game-theoretic model of HFT as the famous two player game, Prisoner’s Dilemma. We explore the implementation of HFT as an instance of Prisoner’s Dilemma on the (quasi) quantum cloud using the Eisert, Wilkens, and Lewenstein quantum mediated communication protocol, and how this implementation can not only increase transaction speed but also improve the lot of the players in HFT. Using cooperative

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Pandit, Bhushan. "RECENT USED AND FUTURE APPLICATION OF ARTIFICIAL INTELLIGENT (AI)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 06, no. 11 (2022). http://dx.doi.org/10.55041/ijsrem16966.

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Recent year AI is the wildest and growing field of technology and computer science. AI has a great success achievement in very short time duration. Artificial Intelligent is mainly the process of behavioral of human intelligence to machines. In this paper, we have discussed the Application of recent year and future scope of Artificial Intelligence In the upcoming, AI machines will develop and replace human capabilities in numerous areas. AI is the intelligence powerful machines or software. So the artificial intelligent is the sub-branch of computer science. Recent year AI is very a wild field

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Grego, Paulo, and Suellen Marjorry Souza Santos. "A máquina e o dínamo." MISES: Interdisciplinary Journal of Philosophy, Law and Economics 12 (July 15, 2024). http://dx.doi.org/10.30800/mises.2024.v12.1538.

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Este artigo tem como objetivo a ampliação do conceito de liberalismo como meta-ideologia, apresentado por Scheffer (2023) para analisar a Nova Direita, ao ethos revolucionário. Esta ampliação será feita com base nos livros "The discovery of freedom", de Rose Wilder Lane (1943) e "The god of the machine", de Isabel Paterson (1943). Complementarmente, foram utilizadas a Revolução Francesa e a Revolução Americana como objetos de análise, de modo a ter exemplos comparativos que permitam diferenciar a defesa da liberdade do ethos revolucionário. Por meio desta metodologia, foi possível identificar

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Hudcová, Barbora, and Tomáš Mikolov. "Classification of Discrete Dynamical Systems Based on Transients." Artificial Life, September 1, 2021, 1–26. http://dx.doi.org/10.1162/artl_a_00342.

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Abstract In order to develop systems capable of artificial evolution, we need to identify which systems can produce complex behavior. We present a novel classification method applicable to any class of deterministic discrete space and time dynamical systems. The method is based on classifying the asymptotic behavior of the average computation time in a given system before entering a loop. We were able to identify a critical region of behavior that corresponds to a phase transition from ordered behavior to chaos across various classes of dynamical systems. To show that our approach can be appli

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Saputri, Anastasia Intan Kurnia. "Hedonism as Seen in Oscar Wilde’s "The Picture of Dorian Gray"." Lexicon 4, no. 1 (2018). http://dx.doi.org/10.22146/lexicon.v4i1.42136.

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This article discusses hedonism in Oscar Wilde’s The Picture of Dorian Gray through the main character’s actions and lifestyle. The Picture of Dorian Gray (1890) was published in the era where aestheticism movement was flourishing. Aestheticism is an arts movement that promoted art for the sake of its beauty alone. This movement is believed to be existed as a protest against the machine-made products in the Industrial Revolution which were regarded to be ugly. Therefore, the whole story of The Picture of Dorian Gray concerns about beauty. By analyzing the main character, this article aims to f

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Nemčić-Jurec, Jasna, Damir Ruk, Višnja Oreščanin, Ivan Kovač, Magdalena Ujević Bošnjak, and Andrew Stephen Kinsela. "Groundwater contamination in public water supply wells: risk assessment, evaluation of trends and impact of rainfall on groundwater quality." Applied Water Science 12, no. 7 (2022). http://dx.doi.org/10.1007/s13201-022-01697-1.

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AbstractThis study investigates the risk to contamination of groundwater in public water supply wells in the Koprivnica-Križevci county (northwest Croatia). Five physicochemical parameters were monitored in all groundwater samples from 2008 to 2017 to identify major differences between the wells, assess temporal variations and understand the capacity for rainfall to alter groundwater pollution loadings. Multivariate discriminant analysis showed statistically significant differences between the six sampled wells based on the analyzed parameters (Wilks' lambda: 0.001; F = 26.2; p < 0.0000). P

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Chhay, Siv Chung. "The Repair of Resin-Modified Glass Ionomers with Bulk-Fill Flowable and Packable Composites using the Eight-Generation and Universal Dentin Bonding Agents." Open Access Journal of Dental Sciences 8, no. 2 (2023). http://dx.doi.org/10.23880/oajds-16000369.

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Background: To investigate shear bond strength regarding the repair of resin-modified glass ionomers (RMGIs) with bulk-fill flowable and packable composites using eighth-generation and universal dentin bonding agents. Materials and Methods: One-hundred-fifty specimens were prepared using polymethylmethacrylate-resin injected into preformed cylinders. Inverted recessed holes with convergent walls 4 mm deep and 4 mm wide were created using Operative Friction Grip 330L and inverted diamond burs. These holes were used as reservoirs for RMGI II LC. The resulting RMGI specimens were roughened with m

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Jayaswal, Amrita, Rashika Singh, Shitij Srivastava, Abhinav Shekhar, and Love Kumar Bhatia. "A Comparative Evaluation of the Tensile Bond Strength of Cement-retained Restorations on Implant Abutments Subjected to Different Surface Treatments: An In vitro Study." Advances in Human Biology, February 20, 2024. http://dx.doi.org/10.4103/aihb.aihb_71_23.

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Abstract Introduction: The longevity of cement-retained implant-supported restorations depends upon a strong and durable bond at the metal/cement interface. Various forms of surface treatments of implant abutments have been shown to enhance the retention of cement-retained restorations. The present study was undertaken to comparatively evaluate the tensile bond strength of metal copings luted onto implant abutments subjected to different surface treatments and determine the most effective surface treatment for long-term retention. Materials and Methods: Forty acrylic blocks were prepared, each

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Gunara, Nikko Prayudi, Endra Joelianto, and Intan Ahmad. "Identification of Aedes aegypti and Aedes albopictus eggs based on image processing and elliptic fourier analysis." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-28510-6.

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AbstractDengue hemorrhagic fever is a worldwide epidemic caused by dengue virus and spread by infected female mosquitoes. The two main mosquito species vectors of the dengue virus are Aedes aegypti and Aedes albopictus. Conventionally, the identification of these two species’ egg is time-consuming which makes vector control more difficult. However, although attempts on efficiency improvements by providing automatic identification have been conducted, the earliest stage is at the larval stage. In addition, there are currently no studies on classifying to distinguish the two vectors during the e

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Dehkordi, Seyyed Mehdi Razavi. "Effect of a Period of Magnesium Supplementation on Muscle Strength and Resistance of Bodybuilders." Journal of Pharmaceutical Research International, May 25, 2020, 12–21. http://dx.doi.org/10.9734/jpri/2020/v32i830466.

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Objective: The purpose of this study is to determine the effect of magnesium supplements on the muscular strength of active men. Materials and Methods: Samples were matched into two groups. Magnesium supplements (containing 47 mg of calcium and 250 mg of magnesium oxide produced by al-Hawi Company) were given to the experimental group and the placebo that was completely similar to the supplements for the control group. The tablets are given to every other subject individually and they performed strength training. Supplements were ingested before strength training in the gym and the suppl

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Brette, Romain. "Brains as Computers: Metaphor, Analogy, Theory or Fact?" Frontiers in Ecology and Evolution 10 (April 29, 2022). http://dx.doi.org/10.3389/fevo.2022.878729.

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Whether electronic, analog or quantum, a computer is a programmable machine. Wilder Penfield held that the brain is literally a computer, because he was a dualist: the mind programs the brain. If this type of dualism is rejected, then identifying the brain to a computer requires defining what a brain “program” might mean and who gets to “program” the brain. If the brain “programs” itself when it learns, then this is a metaphor. If evolution “programs” the brain, then this is a metaphor. Indeed, in the neuroscience literature, the brain-computer is typically not used as an analogy, i.e., as an

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Lombardo, Geraldo Henrique L., Cristiane F. Carvalho, Graziela Galhano, Rodrigo Othávio A. Souza, Lafayete N. Júnior, and Carlos Augusto Pavanelli. "Influence of additional polymerization in the microhardness of direct composite resins." Brazilian Dental Science 10, no. 2 (2010). http://dx.doi.org/10.14295/bds.2007.v10i2.333.

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Objective: To evaluate different methods of additional polymerization in the Vickers’ microhardness of three composite resins. Material and Methods: With assistance of a metallic matrix (3 x 4mm), 30 specimens (sps) of each direct resin composite (drc) were prepared, entitled: Filtek Z250(3M ESPE, Saint Paul/MN-USA)(Gr1), W3D(Wilcos, Petrópolis/ RJ-Brazil)(Gr2), and EstheticX (Dentsply/York/PA-USA)(Gr3). All sps were photopolimerized, by the incremental technique, during 40 seconds (Gr1 - n=10: control). After that, 20 samples of each group were divided and half of the samples (n=10) were subm

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