Relevant bibliographies by topics / Machese de Sade

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machese de Sade'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Machese de Sade"

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Zhang, Xuexia, Zixuan Yu, and Weirong Chen. "Life Prediction Based on D-S ELM for PEMFC." Energies 12, no. 19 (2019): 3752. http://dx.doi.org/10.3390/en12193752.

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The proton exchange membrane fuel cell (PEMFC) is an extremely clean and efficient power generation device. However, its limited lifespan has restricted the large-scale commercial development of PEMFCs. Life prediction is a promising solution for the further life extension of PEMFCs. In this paper, D-S ELM(DWT-SaDE ELM), define as, an enhanced extreme learning machine (ELM) optimized by discrete wavelet transform (DWT) and self-adaptive differential evolutionary algorithm (SaDE), is proposed to predict the remaining useful life (RUL) of PEMFCs. In D-S ELM, DWT is employed to extract available features from multi-input data with stochastic noise. Then, SaDE explores the optimal parameter configuration for the ELM neural network. Moreover, the influence of training data sizes on the prediction results is discussed. Simulations show that D-S ELM has obvious advantages in prediction accuracy. Furthermore, the superiority of D-S ELM in small sample applicability, prediction speed and robustness make it more suitable for the online prediction of PEMFCs.
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Tang, Chaofei, Nurbol Luktarhan, and Yuxin Zhao. "SAAE-DNN: Deep Learning Method on Intrusion Detection." Symmetry 12, no. 10 (2020): 1695. http://dx.doi.org/10.3390/sym12101695.

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Intrusion detection system (IDS) plays a significant role in preventing network attacks and plays a vital role in the field of national security. At present, the existing intrusion detection methods are generally based on traditional machine learning models, such as random forest and decision tree, but they rely heavily on artificial feature extraction and have relatively low accuracy. To solve the problems of feature extraction and low detection accuracy in intrusion detection, an intrusion detection model SAAE-DNN, based on stacked autoencoder (SAE), attention mechanism and deep neural network (DNN), is proposed. The SAE represents data with a latent layer, and the attention mechanism enables the network to obtain the key features of intrusion detection. The trained SAAE encoder can not only automatically extract features, but also initialize the weights of DNN potential layers to improve the detection accuracy of DNN. We evaluate the performance of SAAE-DNN in binary-classification and multi-classification on an NSL-KDD dataset. The SAAE-DNN model can detect normally and attack symmetrically, with an accuracy of 87.74% and 82.14% (binary-classification and multi-classification), which is higher than that of machine learning methods such as random forest and decision tree. The experimental results show that the model has a better performance than other comparison methods.
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Bocca, Francisco Verardi. "La Mettrie: nem santo, nem pecador." Sofia 6, no. 2 (2017): 128–45. http://dx.doi.org/10.47456/sofia.v6i2.17490.

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Neste artigo procuro desfazer a opinião compartilhada entre leitores e historiadores da filosofia que consideram imoralista tanto a pessoa como a obra do médico-filósofo Julien Offray de La Mettrie, portanto perniciosa e merecedora das censuras sofridas. De suas causas, destaco as biografias dedicadas a ele. Também o recurso que Marquês de Sade, ao adotá-lo como seu filósofo, fez de suas teses, atribuindo-lhe sua inspiração hedonista e libertina. Por último, o histrionismo de seus escritos. Todas podem ser questionadas, mas somente a leitura atenta de sua obra pode lhe fazer justiça. Quanto aos biógrafos nada tenho a dizer. Quanto a Sade, me apoio em Jean Dupran (1976), para quem realizou uma apropriação tendenciosa de suas teses. Assim, apresentarei um confronto entre as obras L`homme machine (1747) e Anti-Sénèque (1748), a fim de melhor compreender sua noção de moralidade, prazer, remorso, convívio social e o papel da filosofia na construção da felicidade virtuosa, longe da imoderação e devassidão que o público lhe atribui.
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Chaulwar, Amit. "Sampling Algorithms Combination with Machine Learning for Efficient Safe Trajectory Planning." International Journal of Machine Learning and Computing 11, no. 1 (2021): 1–11. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1007.

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The planning of safe trajectories in critical traffic scenarios using model-based algorithms is a very computationally intensive task. Recently proposed algorithms, namely Hybrid Augmented CL-RRT, Hybrid Augmented CL-RRT+ and GATE-ARRT+, reduce the computation time for safe trajectory planning drastically using a combination of a deep learning algorithm 3D-ConvNet with a vehicle dynamic model. An efficient embedded implementation of these algorithms is required as the vehicle on-board micro-controller resources are limited. This work proposes methodologies for replacing the computationally intensive modules of these trajectory planning algorithms using different efficient machine learning and analytical methods. The required computational resources are measured by downloading and running the algorithms on various hardware platforms. The results show significant reduction in computational resources and the potential of proposed algorithms to run in real time. Also, alternative architectures for 3D-ConvNet are presented for further reduction of required computational resources.
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A, Hajare Prashantbhai. "Prediction of safe working frequencies of screening machine by Harmonic Analysis." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 74–77. http://dx.doi.org/10.31142/ijtsrd12838.

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Gopal, Madhwaraj Kango. "A Novel Machine Learning Technique towards Predicting the Sale of Washing Machines in a Small Organization." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 6969–76. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020697.

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Chiwamba, Simon Hawatichke, Jackson Phiri, Philip O. Y. Nkunika, Mayumbo Nyirenda, Monica M. Kabemba, and Philemon H. Sohati. "Machine Learning Algorithms for automated Image Capture and Identification of Fall Armyworm (FAW) Moths." Zambia ICT Journal 3, no. 1 (2019): 1–4. http://dx.doi.org/10.33260/zictjournal.v3i1.69.

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Automated entomology is one of the field that has received a fair attention from the computer scientists and its support disciplines. This can further be confirmed by the recent attention that the Fall Armyworm (FAW) (Spodoptera frugiperda) has received in Africa particularly the Southern African Development Community (SADC). As the FAW is known for its devastating effects, stakeholders such as the Food and Agriculture Organization (FAO), SADC and University of Zambia (UNZA) have agreed to develop robust early monitoring and warning system. To supplement the stakeholders’ efforts, we choose a branch of artificial intelligence that employs deep neural network architectures known as Google TensorFlow. It is an advanced state-of-the-art machine learning technique that can be used to identify the FAW moths. In this paper, we use Google TensorFlow, an open source deep learning software library for defining, training and deploying machine learning models. We use the transfer learning technique to retrain the Inception v3 model in TensorFlow on the insect dataset, which reduces the training time and improve the accuracy of FAW moth identification. Our retrained model achieves a train accuracy of 57 – 60 %, cross entropy of 65 – 70% and validation accuracy of
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Shoko, Claris, Caston Sigauke, and Peter Njuho. "Short-term forecasting of confirmed daily COVID-19 cases in the Southern African Development Community region." African Health Sciences 22, no. 4 (2022): 534–50. http://dx.doi.org/10.4314/ahs.v22i4.60.

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Background: The coronavirus pandemic has resulted in complex challenges worldwide, and the Southern African Development Community (SADC) region has not been spared. The region has become the epicentre for coronavirus in the African continent. Combining forecasting techniques can help capture other attributes of the series, thus providing crucial information to address the problem.
 Objective: To formulate an effective model that timely predicts the spread of COVID-19 in the SADC region.
 Methods: Using the Quantile regression approaches; linear quantile regression averaging (LQRA), monotone composite quantile regression neural network (MCQRNN), partial additive quantile regression averaging (PAQRA), among others, we combine point forecasts from four candidate models namely, the ARIMA (p, d, q) model, TBATS, Generalized additive model (GAM) and a Gradient Boosting machine (GBM).
 Results: Among the single forecast models, the GAM provides the best model for predicting the spread of COVID-19 in the SADC region. However, it did not perform well in some periods. Combined forecasts models performed significantly better with the MCQRNN being the best (Theil’s U statistic=0.000000278).
 Conclusion: The findings present an insightful approach in monitoring the spread of COVID-19 in the SADC region. The spread of COVID-19 can best be predicted using combined forecasts models, particularly the MCQRNN approach.
 Keywords: Combined Forecasts; LQRA; PLAQR; OPERA; Quantile Regression Neural Networks; COVID-19.
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da Silva, Paulo, and Ikuo Tanabe. "Analytical models for machine tool motion behavior assessment bench mark subjected to great earthquake." International Journal of Safety and Security Engineering 9, no. 2 (2019): 121–36. http://dx.doi.org/10.2495/safe-v9-n2-121-136.

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Gaffoor, Zaheed, Kevin Pietersen, Nebo Jovanovic, Antoine Bagula, and Thokozani Kanyerere. "Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community." Water 12, no. 10 (2020): 2796. http://dx.doi.org/10.3390/w12102796.

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Big data analytics (BDA) is a novel concept focusing on leveraging large volumes of heterogeneous data through advanced analytics to drive information discovery. This paper aims to highlight the potential role BDA can play to improve groundwater management in the Southern African Development Community (SADC) region in Africa. Through a review of the literature, this paper defines the concepts of big data, big data sources in groundwater, big data analytics, big data platforms and framework and how they can be used to support groundwater management in the SADC region. BDA may support groundwater management in SADC region by filling in data gaps and transforming these data into useful information. In recent times, machine learning and artificial intelligence have stood out as a novel tool for data-driven modeling. Managing big data from collection to information delivery requires critical application of selected tools, techniques and methods. Hence, in this paper we present a conceptual framework that can be used to manage the implementation of BDA in a groundwater management context. Then, we highlight challenges limiting the application of BDA which included technological constraints and institutional barriers. In conclusion, the paper shows that sufficient big data exist in groundwater domain and that BDA exists to be used in groundwater sciences thereby providing the basis to further explore data-driven sciences in groundwater management.
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Dissertations / Theses on the topic "Machese de Sade"

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Vaezipour, Atiyeh. "Design and development of an in-vehicle human machine interface for eco-safe driving." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118058/1/Atiyeh_Vaezipour_Thesis.pdf.

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Rapid developments in vehicle technology, such as in-car systems, have provided opportunities to encourage drivers to drive in a more fuel-efficient and safe manner. This thesis focused on the design, development and evaluation of a new in-car system to improve eco-safe driving, with the aim of reducing the impact of motorised vehicles on both human health and the environment. This multidisciplinary research contributes to enhancing our understanding of the requirements of drivers in relation to in-car systems and provides a foundation for the future design and development of innovative and accepted in-car systems to improve fuel efficiency and road safety.
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Lochbihler, Andreas [Verfasser], and G. [Akademischer Betreuer] Snelting. "A Machine-Checked, Type-Safe Model of Java Concurrency : Language, Virtual Machine, Memory Model, and Verified Compiler / Andreas Lochbihler ; Betreuer: G. Snelting." Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184492581/34.

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Dunnett, Ninian. "Same old song : an exploration of originality in popular music history." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/17949.

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Originality is an important social and cultural value. In pop music its influence is comprehensive: it shapes the economics of an industry through copyright law, and the temperament of musical culture through its place as keystone of the prevailing Romantic tradition. The concept extends beyond issues of artistic and technical innovation: a point of origin is fundamental to the stories we tell about pop. What these stories tell us about ourselves and the way we use music, though, may be more complex than the orthodoxy allows; while the moderns from Eliot and Frye through Barthes and Foucault have sliced and diced originality in text, its interrogation in popular music is overdue. This study seeks to address the social and cultural context, the implications for individual identity and the issues of creative intention, status, popularity and profitability that come into play at those moments when the cultural honours of “originality” are conferred. Working from archival and textual resources, the research explores the entry of “black music” into pop culture with the Fisk University Jubilee Singers, who can be seen both as the source of several cultural streams which remain influential in popular music, and as the source of a popular mythology which has become detached from historical fact. It then proceeds to three case studies. The problem of what it means to start something new is developed in the story of Elvis Presley and the foundation myth of rock & roll. The professional use of originality is interrogated in the work of the Beatles, a foursome with a strong claim to be the greatest plagiarists, if not the greatest originators in pop. And the artistic idea of originality and its contingencies are addressed through the case of Lou Reed and the changing status of his album Metal Machine Music. A final chapter assesses the conclusions which can be made from these explorations, and the implications for future research.
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Adam, Matias B. "Improving complex sale cycles and performance by using machine learning and predictive analytics to understand the customer journey." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118010.

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Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 92-99).<br>Today's business operations and decision management demand that firms respond efficiently in an increasingly dynamic and highly competitive external environment. Business-to-business firms need insight about markets and customers along the entire sales and marketing cycle. This demand is complicated by the inflexibility of legacy systems and growing distributed architectures add even more internal complexity. In addition, gaps and mismatches between strategy and execution constrain the ability to understand the customer experience. This challenging context requires an agile, collaborative, and flexible framework in order to acquire, analyze, model, and evaluate information necessary for improving customer insights and making data-driven decisions to enhance the customer journey. This thesis analyzes how to effectively shorten the customer journey and related sales cycle in business-to-business firms through the use of new technologies. My research examines the benefits and challenges of applied machine learning and predictive analytics to improve critical stages in the sales and marketing process by making assisted decisions that accelerate the sales cycle and increase performance. This thesis focuses on methodologies for promoting and fostering technology adoption, improving business decisions and performance, and accelerating digital transformation.<br>by Matias B. Adam.<br>S.M. in Management of Technology
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Eis, Pavel. "Datová sada pro klasifikaci síťových zařízení pomocí strojového učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445543.

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Automatic classification of devices in computer network can be used for detection of anomalies in a network and also it enables application of security policies per device type. The key to creating a device classifier is a quality data set, the public availability of which is low and the creation of a new data set is difficult. The aim of this work is to create a tool, that will enable automated annotation of the data set of network devices and to create a classifier of network devices that uses only basic data from network flows. The result of this work is a modular tool providing automated annotation of network devices using system ADiCT of Cesnet's association, search engines Shodan and Censys, information from PassiveDNS, TOR, WhoIs, geolocation database and information from blacklists. Based on the annotated data set are created several classifiers that classify network devices according to the services they use. The results of the work not only significantly simplify the process of creating new data sets of network devices, but also show a non-invasive approach to the classification of network devices.
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Jones, Patrick Franklin. "The effects of practice on study and comparison times for simple, redundant, and non-redundant color-shape coding schemes in a same-different reaction time task." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/28628.

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Triques, Gustavo Eugenio. "Efeito da suplementação dietética de antioxidantes sobre variáveis reprodutivas de machos reprodutores de frango de corte." reponame:Repositório Institucional da UFPR, 2014. http://hdl.handle.net/1884/37108.

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Orientadora: Profª. Drª. Jovanir Inês Müller Fernandes<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Palotina, Programa de Pós-Graduação em Ciência Animal. Defesa: Palotina, 15/09/2014<br>Inclui referências<br>Área de concentração : Produção animal<br>Resumo: Este estudo teve como objetivo avaliar o efeito da suplementação dietética de antioxidantes sobre características espermáticas de galos reprodutores de frango de corte. Foram realizados três experimentos. No primeiro, foram utilizados 12 galos Cobb de 50 semanas de idade distribuídos aleatoriamente em um delineamento inteiramente casualizado com 2 tratamentos e 6 repetições. Amostras de sêmen foram coletadas pelo método de massagem abdominal para avaliação de volume seminal, concentração, motilidade, vigor e morfologia espermática. Às 68 semanas de idade, amostras de testículo foram coletadas para determinação da morfometria tubular dos testículos e para análise da proliferação celular no epitélio germinativo pela técnica do PCNA. A morfometria de testículos, cristas e barbelas também foram analisadas. Os dados foram submetidos à análise estatística utilizando-se o programa Statistical Analysis System com nível de 5% de significância. Houve efeito positivo (p<0,05) do blend de antioxidantes no percentual de espermatozóides normais, no peso e largura das barbelas e no peso e comprimento dos testículos. No segundo experimento, foi selecionado um núcleo de matrizes de produção de 4 aviários. Em 2 aviários, os galos receberam dieta comercial para machos e nos outros 2 aviários, os galos receberam a dieta suplementada com antioxidantes (8ppm de cantaxantina + 40 ppm de licopeno + 150 ppm de vitamina C). Na 62ª semana, foram retirados fragmentos da membrana vitelínica sobre o disco germinativo dos ovos para contagem do número de perfurações espermáticas. Foi observado um maior (p<0,05) número de perfurações nos ovos oriundos dos aviários cujos galos receberam antioxidantes na dieta. Na 68ª semana, os galos foram sacrificados e a crista, barbela, peito e testículos foram pesados e medidos. Na 66ª semana de idade, os ovos foram incubados e a progênie foi alojada no aviário experimental de acordo com o delineamento experimental dos reprodutores com 2 tratamentos e 12 repetições com 12 aves cada. Aos 7 dias de idade, foram sacrificadas 24 aves por tratamento para contagem do número de fibras e a mensuração do diâmetros das fibras musculares. Não houve efeito significativo (p>0,05) da suplementação do blend de antioxidantes na dieta dos reprodutores sobre o ganho de peso e o peso de peito da progênie aos 7 dias de idade. A contagem e diâmetro da fibra muscular não diferiu (p>0,05) entre a progênie oriunda de galos suplementados ou não. A conversão alimentar e ganho de peso na fase de 14 - 35 dias foram melhores (p<0,05) para a progênie dos reprodutores suplementados. No terceiro experimento, Foram utilizados 24 galos da linhagem Cobb, 12 galos com 25 semanas de idade e 12 galos com 50 semanas de idade. Os reprodutores foram mantidos em gaiolas (1 por gaiola) e distribuídos em um delineamento inteiramente casualizado em esquema fatorial 2 x 2 (idades e dietas) totalizando 4 tratamentos e 6 repetições de 1 galo cada. Os tratamentos foram compostos por: Tratamento 1 - galos com 25 semanas de idade e suplementados com licopeno, Tratamento 2 - galos com 50 semanas de idade e suplementados com licopeno, Tratamento 3 - galos com 25 semanas de idade e sem suplementação e Tratamento 4 - galos com 50 semanas de idade e sem suplementação. O licopeno foi fornecido na quantidade de 72 ppm (Licopeno 10%; Roche Vitamins). Após 12 semanas de suplementação, o sêmen foi coletado pelo método da massagem abdominal. As análises do sêmen, volume de sêmen, concentração espermática e motilidade foram realizadas imediatamente após a coleta. Todos os galos foram sacrificados para medida e pesagem de testículo, crista, barbela e peito. Fragmentos dos testículos foram fixados, emblocados em parafina, cortados e aplicados em lâminas sinalizadas para detecção de células em mitose pela técnica imunohistoquímica. Os dados foram submetidos à análise estatística utilizando-se o programa SAS. O comprimento e largura da crista dos galos mais novos foram maiores (p<0,05) em comparação aos galos mais velhos, independente da adição de licopeno às dietas. Este mesmo resultado foi observado para o peso, comprimento e espessura dos testículos. No desdobramento da interação, idade e tratamento, observou-se que a inclusão do licopeno aumentou (p<0,05) o peso vivo dos galos de 50 semanas de idade. Palavras chave: antioxidantes, peroxidação lipídica, espermatozoides, fertilidade<br>Abstract: With the objective of evaluating the effect of dietary supplementation of antioxidants on broiler breeder males' spermatic characteristics, three experiments were conducted. At the first experiment, 12 fifty week age Cobb roosters randomly distributed in a totally casual delineation were used with 2 treatments (commercial feed and commercial feed + antioxidant blend canthaxanthin, lycopene and vitamin C) and six repetitions. Samples of semen were collected by abdominal massage method in order to evaluate seminal volume and spermatic concentration, motility, vigor and morphology. At 68 weeks of age, testicle samples were collected to tubular morphometry determination and to analyze the cell proliferation on the germinative epithelium by PCNA technique. The testicles, combs and dewlaps morphometry was also analyzed at 68 weeks of age. The data were submitted to statistical analysis using Statistical Analysis System, with 5% of significance. It was observed a positive effect (p<0,05) of the treatment on the percentage of normal spermatozoids, on the weight and width of dewlaps and on weight and length of testicles. At the second experiment, a breeder farm coitaining 4 houses were chosen. In two of them, the roosters received a commercial male diet and in the other two houses the roosters received the same antioxidant supplemented feed used in the first experiment. At 62 week age, fragments from the vitellinic membrane were taken to spermatic perforations count. It was observed a higher (p<0,05) number of perforations in the eggs that came from the houses where the roosters had the antioxidant diet. Fertile eggs were set and the progeny was housed at the experimental barn according to the breeder males delineation with 2 treatments and 12 repetitions with 12 chicks each. At seven days of age, 24 birds per treatment were euthanatized in order to count the number of fibers and to measure the muscular fibers diameter. There was no significant effect (p>0,05) from the breeder male antioxidant supplementation on the 7 day progeny gain of weight and chest weight. The muscular fiber counting and diameter did not differed (p>0,05) between the progeny derived from the supplemented roosters and the control one. The feed conversion and gain of weight of the progeny between the 14 and 35 days of age were better (p<0,05) to the progeny derived from the supplemented males. At the third experiment, 24 Cobb roosters were used, 12 with 25 weeks of age and 12 with 50 weeks of age and distributed in a totally casual delineation in factorial system 2 x 2 (ages and diets) adding 4 treatments and 6 repetitions of 1 bird each. The lycopene were provided at 72 ppm (Lycopene 10%, Roche Vitamins). After 12 weeks of supplementation, the semen was collected by abdominal massage mthod. The semen analysis, semen volume, spermatic concentration and motility were made right after the collect. All the roosters were euthanized in order to testicle, comb, dewlaps and chest measurement and weighing. Fragments from the testicles were fixed, paraffin blocked, cut and put on marked blades to mitosis cells detection by immunohistochemistry technique. The comb length and width from the younger roosters were bigger (p<0,05) compared to the older roosters, independently from the lycopene added to the diet. The same result was observed to testicle weight, length and thickness. In the interaction unfolding of age and treatment, it was observed that the inclusion of lycopene increased (p<0,05) the weight of the 50 week age roosters. The lycopene added to the diet, independently from the males' age increased the number of positive-PCNA cells in the testicles. The using of specific diets to male is highly viable, not only by the well-known benefits about nutrition requirements on eclodibility and fertility, but also to make possible the use of additives, once the volume of feed for the male is smaller than the female feed. Keywords: antioxidants, lipid peroxidation, spermatozoids, fertility
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Meyer, Katlyn Barp. "Efeitos do antiviral ganciclovir sobre o desenvolvimento e função gonadal de ratos machos expostos in utero." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/52846.

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Orientador : Profª. Drª. Rosana Nogueira de Morais<br>Coorientador : Prof. Dr. Anderson Joel Martino Andrade<br>Tese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Biológicas, Programa de Pós-Graduação em Fisiologia. Defesa: Curitiba, 31/08/2017<br>Inclui referências : f. 68-81<br>Área de concentração : Fisiologia<br>Resumo: Malformações e disfunções do sistema reprodutor masculino observadas no indivíduo adulto podem resultar de disfunções da gônada fetal. Um dos fatores que modifica a função testicular fetal é a exposição a xenobióticos, dentre os quais, o antiviral ganciclovir (GCV). A exposição ao GCV no dia 10 de gestação (DG10) causa o desenvolvimento de túbulos seminíferos contendo apenas células de Sertoli (TACS). Como o mecanismo de ação do GCV está relacionado com o metabolismo do DNA e inibição da proliferação celular, aventa-se que os TACS ocorrem por efeito citotóxico do GCV sobre as células germinativas. Para testar esta hipótese, expusemos ratas gestantes a 300 mg/kg de GCV (três injeções subcutâneas de 100 mg/kg) no DG10, 14 e 19, quando as células germinativas apresentam, respectivamente, taxas elevadas de migração, proliferação ou estão mitoticamente quiescentes. Os descendentes masculinos expostos ao GCV no DG 10 e 14 foram avaliados para marcadores de androgenização, andrógenos fecais e séricos e histomorfometria testicular, quando adultos. Nos testículos fetais (DG15 e 20), utilizamos a imunofluorescência de dupla marcação para DAZL (marcador específico de células germinativas) e Ki67 (marcador de proliferação celular) para investigar o número de gonócitos e a atividade proliferativa de células germinativas e somáticas, 24 h após a primeira injeção do GCV. Os ratos adultos expostos no DG14 apresentaram redução de 50% no peso testicular, resultado da redução nos volumes do espaço intersticial e dos túbulos seminíferos, dos quais em torno de 30% eram TACS. Apresentaram, ainda, atraso na puberdade, apesar dos níveis normais de androgênios. Nos animais expostos no DG10 os efeitos foram menos pronunciados, com redução de 30% do peso testicular e 12% de ocorrência de TACS. Em ambos os grupos, a população de células de Sertoli foi reduzida, com aumento no índice de células de Sertoli (razão entre o número de espermátides redondas por célula de Sertoli) nos animais expostos no DG14. Nos testículos fetais, o número de células germinativas foi reduzido em 50% nos ratos expostos no DG14, enquanto permaneceu inalterado naqueles expostos no DG19. No entanto, a exposição ao GCV no DG 19 reduziu a imunomarcação do Ki67 das células de Sertoli, o que indica que o GCV redução da proliferação num período da gestação em que normalmente as células de Sertoli apresentam alta taxa de proliferação. Em conclusão, a exposição ao GCV durante a gestação parece apresentar efeitos tóxicos sobre células somáticas e germinativas testiculares. No entanto, a toxicidade do GCV sobre as células germinativas é mais pronunciada e está diretamente relacionada com a taxa de proliferação. Esse efeito é tempo-dependente e, em ratos, o DG 14 é uma janela crítica de sensibilidade ao GCV, já que a exposição nesse dia causou uma perda maciça aguda das células germinativas, a qual persistiu até a idade adulta. Palavras-chave: Toxicologia. Células germinativas. Desordens reprodutivas masculinas. Antiviral<br>Abstract: Impairment of fetal gonadal development can lead to malformations and dysfunction of the male reproductive system in adult life. Several factors are potentially disruptors of the fetal testicular function, including exposure to xenobiotics such as the antiviral ganciclovir (GCV). Exposure to GCV at day 10 of gestation (GD10) causes the development of seminiferous tubules containing only Sertoli cells (SCOT). As the mechanism of action of GCV is related to DNA metabolism and inhibition of cell proliferation, SCOT could be a consequence of the cytotoxic effect of GCV on germ cells migration and proliferation. To test this hypothesis, we treated pregnant rats with 300 mg/kg of GCV (three subcutaneous injections of 100 mg/kg) at GD10, 14 and 19, when germ cells show high rates of migration, proliferation or are mitotically quiescent, respectively. Male offspring exposed to GCV at GD10 and 14 were evaluated for androgenic markers, fecal and serum androgens and testicular histomorphometry when adults. In the fetal testis (GD15 and 20), we used double-label immunofluorescence for DAZL (germ cell specific marker) and Ki67 (cell proliferation marker) to investigate the number of gonocytes and the proliferative activity of germ cells and somatic cells, 24 h after the first injection of GCV. The adult rats exposed at GD14 presented a 50% reduction in the testicular weight, as a result of a volume reduction of the seminiferous tubules (30% were SCOT) and of the interstitial space. GD14 animals had also delayed puberty, despite normal levels of androgens. In the animals exposed at GD10, the effects were less pronounced, with a reduction of 30% in testicular weight and 12% of SCOT. In both groups, the Sertoli cell population was reduced, with an increase in the Sertoli cell index (ratio of the number of round spermatids per Sertoli cell) in the animals exposed in GD14. In the fetal testis, the number of germ cells was reduced by 50% in the rats exposed in GD14, while it remained unchanged in GD19 testes. However, exposure to GCV in GD19 reduced Ki87's immunostaining, indicating that GCV reduced the proliferation of Sertoli cells in a period of the gestation when Sertoli cells are expected to have a high proliferation rate. In conclusion, exposure to GCV during gestation causes toxic effects on somatic and testicular germinative cells. However, the toxicity of GCV on germ cells is more pronounced and is directly related to the rate of proliferation. This effect is time-dependent and, in rats, GD14 is a critical window of sensitivity to GCV, since exposure at GD14 caused a massive acute loss of germ cells, which persisted into adulthood. Key-words: Toxicology. Germ cell. Male reproductive disorders. Antiviral.
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Berthaud, Daniel. "Analyse fonctionnelle d'une usine de traitement de talc et intégration d'un outil de supervision." Nancy 1, 1992. http://www.theses.fr/1992NAN10157.

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L'automatisation et l'informatisation des systèmes de conduite de processus industriels entrainent la centralisation des organes d'affichage et de commande sur des consoles graphiques. La surface réduite de ces principes d'affichage, ainsi que les limites du raisonnement humain, soulèvent des problèmes d'intégration de ces nouveaux modes de conduite. Dans une première partie, ce mémoire présente les différentes activités et les différentes tâches de l'operateur humain en salle de contrôle, ainsi que son comportement décisionnel face aux différentes situations auxquelles il se trouve confronté lors de la conduite de procédés. La fin de ce chapitre est consacrée à l'étude des outils d'assistance à l'operateur en salle de contrôle et a leurs différents modes d'intégration dans les systèmes de supervision. Ce travail porte aussi sur les problèmes d'interfaces graphiques homme-machine et énonce une démarche de conception de synoptique, ainsi que les règles de création et d'animation des images. Dans une troisième phase, une étude d'une usine minéralurgique par la méthode SADT (structured analysis and design technique) détermine les besoins informationnels nécessaires à la conduite centralisée de cette unité de fabrication. Le quatrième chapitre décrit la mise en place d'un système de supervision dans l'usine précédemment étudié, en appliquant au mieux l'ensemble des règles définies dans les deux premiers chapitres
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Fitzgerald, Daniel Liam. "Landing site selection for UAV forced landings using machine vision." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16510/1/Daniel_Fitzgerald_Thesis.pdf.

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A forced landing for an Unmanned Aerial Vehicle (UAV) is required if there is an emergency on board that requires the aircraft to land immediately. Piloted aircraft in the same scenario have a human on board that is able to engage in the complex decision making process involved in the choice of a suitable landing location. If UAVs are to ever fly routinely in civilian airspace, then it is argued that the problem of finding a safe landing location for a forced landing is an important unresolved problem that must be addressed. This thesis presents the results of an investigation into the feasibility of using machine vision techniques to locate candidate landing sites for an autonomous UAV forced landing. The approach taken involves the segmentation of the image into areas that are large enough and free of obstacles; classification of the surface types of these areas; incorporating slope information from readily available digital terrain databases; and finally fusing these maps together using a high level set of simple linguistic fuzzy rules to create a final candidate landing site map. All techniques were evaluated on actual flight data collected from a Cessna 172 flying in South East Queensland. It was shown that the use of existing segmentation approaches from the literature did not provide the outputs required for this problem in the airborne images encountered in the gathered dataset. A simple method was then developed and tested that provided suitably sized landing areas that were free of obstacles and large enough to land. The advantage of this novel approach was that these areas could be extracted from the image directly without solving the difficult task of segmenting the entire image into the individual homogenous objects. A number of neural network classification approaches were tested with the surface types of candidate landing site regions extracted from the aerial images. A number of novel techniques were developed through experimentation with the classifiers that greatly improved upon the classification accuracy of the standard approaches considered. These novel techniques included: automatic generation of suitable output subclasses based on generic output classes of the classifier; an optimisation process for generating the best set of input features for the classifier based on an automated analysis of the feature space; the use of a multi-stage classification approach; and the generation of confidence measures based on the outputs of the neural network classifiers. The final classification result of the system performs significantly better than a human test pilot's classification interpretation of the dataset samples. In summary, the algorithms were able to locate candidate landing site areas that were free of obstacles 92.3 ±2.6% (99% confidence in the result) of the time, with free obstacle candidate landing site areas that were large enough to land in missed only 5.3 ±2.2% (99% confidence in the result) of the time. The neural network classification networks developed were able to classify the surface type of the candidate landing site areas to an accuracy of 93.9 ±3.7% (99% confidence in the result) for areas labelled as Very Certain. The overall surface type classification accuracy for the system (includes all candidate landing sites) was 91.95 ±4.2% (99% confidence in the result). These results were considered to be an excellent result as a human test pilot subject was only able to classify the same data set to an accuracy of 77.24 %. The thesis concludes that the techniques developed showed considerable promise and could be used immediately to enhance the safety of UAV operations. Recommendations include the testing of algorithms over a wider range of datasets and improvements to the surface type classification approach that incorporates contextual information in the image to further improve the classification accuracy.
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Books on the topic "Machese de Sade"

1

Simon, Goodenough, ed. Hitler's war machine. Salamander Books, 1996.

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Khoury, Ziad. Frontline profit machine: The blueprint for exploding profits with your existing service and sales team. SelectBooks, 2009.

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Frontline profit machine: The Khoury blueprint for exploding profits at the point of sale. SelectBooks, 2009.

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Croft, Elizabeth W. Fees and surcharging in automatic teller machine networks: Non-bank ATM providers versus large banks. National Bureau of Economic Research, 2003.

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Carr, William, Paul Kennedy, Matthew Cooper, et al. Hitler's War Machine. Random House Value Publishing, 1996.

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Fye, W. Bruce. Pioneering Open-Heart Surgery at the University of Minnesota and the Mayo Clinic. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199982356.003.0010.

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During the early 1950s, several dozen surgeons were attempting to develop technologies and techniques that would allow them to operate inside the heart. The challenge was to develop a safe way to temporarily take over the functions of the heart and lungs so the heart could be opened and drained of blood. A surgeon could then see and repair abnormal or damaged structures inside the organ. The first patients were children or adolescents with congenital heart defects that had caused heart failure. Mayo surgeon John Kirklin led a multidisciplinary team in the testing and clinical use of a heart-lung machine that had been refined in Rochester from plans provided by IBM and John Gibbon Jr. of Philadelphia. Although initial mortality was high, experience with the Mayo-Gibbon machine proved that it was possible to operate inside the hearts and save the lives of patients who were destined to die without surgery.
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Trappenberg, Thomas P. Fundamentals of Machine Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198828044.001.0001.

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Machine learning is exploding, both in research and for industrial applications. This book aims to be a brief introduction to this area given the importance of this topic in many disciplines, from sciences to engineering, and even for its broader impact on our society. This book tries to contribute with a style that keeps a balance between brevity of explanations, the rigor of mathematical arguments, and outlining principle ideas. At the same time, this book tries to give some comprehensive overview of a variety of methods to see their relation on specialization within this area. This includes some introduction to Bayesian approaches to modeling as well as deep learning. Writing small programs to apply machine learning techniques is made easy today by the availability of high-level programming systems. This book offers examples in Python with the machine learning libraries sklearn and Keras. The first four chapters concentrate largely on the practical side of applying machine learning techniques. The book then discusses more fundamental concepts and includes their formulation in a probabilistic context. This is followed by chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.
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Bátiz-Lazo, Bernardo. The British Are Coming! Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782810.003.0003.

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Chapter 3 (‘The British Are Coming!’) explains the origins of the technology in the United Kingdom. It is widely assumed that the operation of a machine in the Enfield branch of Barclays was the ‘prime mover’ in this industry. However, the historical record fails to identify a hero inventor; rather multiple independent versions of the cash machine were launched at more or less the same time in different countries. Yet in spite of the great fanfare, there was no real race to market. There is no evidence the engineers responsible for them knew of each other’s existence before this launch (but many bankers did). Four years later, very few members of the public knew the cash machine existed, even less had used them and only a handful found them convenient.
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Hanson, Stephen José, Michael J. Kearns, Thomas Petsche, and Ronald L. Rivest, eds. Computational Learning Theory and Natural Learning Systems, Volume 2. The MIT Press, 1994. http://dx.doi.org/10.7551/mitpress/2029.001.0001.

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Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them. The first section provides theoretical explanations for the learning systems addressed, the second section focuses on issues in model selection and inductive bias, the third section presents new learning algorithms, the fourth section explores the dynamics of learning in feedforward neural networks, and the final section focuses on the application of learning algorithms. Bradford Books imprint
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Moses, Matthew S., and Gregory S. Chirikjian. Reproduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0007.

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Computing pioneer and polymath John von Neumann introduced the concept of a Universal Constructor as part of his effort to develop a mathematical theory describing living organisms. A Universal Constructor is a kinematic machine able to manipulate and assemble primitive building blocks. Von Neumann showed how this hypothetical constructor, being itself composed of the same primitive blocks, could self-reproduce and evolve. Remarkably, although this model system pre-dates the discovery of the genetic code, it applies to cell molecular biology as well as man-made machines. This chapter describes some key laboratory demonstrations related to universal construction and machine self-reproduction, and discusses parallels between reproduction processes in machines and biological cells.
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Book chapters on the topic "Machese de Sade"

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Stärk, Robert F., Joachim Schmid, and Egon Börger. "Java is type safe." In Java and the Java Virtual Machine. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59495-3_8.

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Barlow, Barbara. "Building a Safe Community." In Transportation, Traffic Safety and Health — Man and Machine. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_13.

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Spellman, Frank R., and Kathern Welsh. "Machine Guarding." In Safe Work Practices for Wastewater Treatment Plants. CRC Press, 2018. http://dx.doi.org/10.1201/9781351246989-15.

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Sandoval, J., M. A. Laribi, and S. Zeghloul. "Prismatic Compliant Joint for Safe Cobots." In Advances in Mechanism and Machine Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_188.

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Gillispie, Charles Coulston, and Raffaele Pisano. "On Principles in Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4144-7_7.

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Gillispie, Charles Coulston, and Raffaele Pisano. "On Principles in Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8011-7_7.

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Hirschkoff, Daniel, Damien Pous, and Davide Sangiorgi. "A Correct Abstract Machine for Safe Ambients." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11417019_2.

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Congress, Axely. "Keeping Things Safe: Time Machine and Security." In Mac OS X Lion Made Simple. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3769-3_12.

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Sangiorgi, Davide, and Andrea Valente. "A Distributed Abstract Machine for Safe Ambients." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48224-5_34.

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Gillispie, Charles Coulston, and Raffaele Pisano. "History and Historiography of Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4144-7_6.

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Conference papers on the topic "Machese de Sade"

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Gu, Xiaozhe, and Arvind Easwaran. "Towards safe machine learning for CPS." In ICCPS '19: ACM/IEEE 10th International Conference on Cyber-Physical Systems. ACM, 2019. http://dx.doi.org/10.1145/3302509.3311038.

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Sivic, J., C. L. Zitnick, and R. Szeliski. "Finding people in repeated shots of the same scene." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.93.

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Peters, G., B. Zitova, and C. von der Malsburg. "Two Methods for Comparing Different Views of the Same Object." In British Machine Vision Conference 1999. British Machine Vision Association, 1999. http://dx.doi.org/10.5244/c.13.49.

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Delaware, Benjamin, William Cook, and Don Batory. "A machine-checked model of safe composition." In the 2009 workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1509837.1509846.

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Saena, Warayut, and Vasin Suttichaya. "Predicting Drug Sale Quantity Using Machine Learning." In 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP). IEEE, 2019. http://dx.doi.org/10.1109/isai-nlp48611.2019.9045222.

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Morstatter, Fred, Aram Galstyan, Gleb Satyukov, et al. "SAGE: A Hybrid Geopolitical Event Forecasting System." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/955.

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Forecasting of geopolitical events is a notoriously difficult task, with experts failing to significantly outperform a random baseline across many types of forecasting events. One successful way to increase the performance of forecasting tasks is to turn to crowdsourcing: leveraging many forecasts from non-expert users. Simultaneously, advances in machine learning have led to models that can produce reasonable, although not perfect, forecasts for many tasks. Recent efforts have shown that forecasts can be further improved by ``hybridizing'' human forecasters: pairing them with the machine models in an effort to combine the unique advantages of both. In this demonstration, we present Synergistic Anticipation of Geopolitical Events (SAGE), a platform for human/computer interaction that facilitates human reasoning with machine models.
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Metu, Somiya, Adrienne J. Raglin, and Dawn A. Lott. "SAGE supporting operations research inspired algorithms." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, edited by Tien Pham, Latasha Solomon, and Myron E. Hohil. SPIE, 2021. http://dx.doi.org/10.1117/12.2585827.

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Blasi, Stefano De, and Alexander Gepperth. "SASBO: Self-Adapting Safe Bayesian Optimization." In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00044.

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Eisa, Rana Mohamed, Merna Labib, and Amr ElMougy. "SOS: Save Our Social Network Accounts." In 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2019. http://dx.doi.org/10.1109/sami.2019.8782731.

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Gedeon, David. "Sage - Object-oriented software for Stirling machine design." In Intersociety Energy Conversion Engineering Conference. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4106.

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Reports on the topic "Machese de Sade"

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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust adaptive control. By leveraging data shared over a cloud network available to all entities, vehicles proactively adapted to new environments on the proactive level, thus coping with large-scale environmental changes. On the reactive level, control-barrier-function-based robust adaptive control with machine learning improved the performance around nominal models, providing performance and control certificates. The proposed research shaped a robust foundation for autonomous driving on cloud-connected highways of the future.
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Smith, Michael, Erin Acquesta, Arlo Ames, et al. SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1820253.

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Seletskiy, Sergei. EIC Machine Protection System: safe operation of Rapid Cycling Synchrotron with updated parameters. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1908369.

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Lohn, Andrew. Poison in the Well: Securing the Shared Resources of Machine Learning. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/2020ca013.

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Modern machine learning often relies on open-source datasets, pretrained models, and machine learning libraries from across the internet, but are those resources safe to use? Previously successful digital supply chain attacks against cyber infrastructure suggest the answer may be no. This report introduces policymakers to these emerging threats and provides recommendations for how to secure the machine learning supply chain.
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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each of these aspects, the report presents the current state of research and development, challenges, and solutions worth exploring.
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Smith, Jijo K., Howell Li, and Darcy M. Bullock. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions Along a Signalized Corridor. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317322.

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The communication between connected vehicles and traffic signal controllers is defined in SAE Surface Vehicle Standard J2735. SAE J2735 defines traffic signal status messages and a series of 16 confidence levels for traffic signal transitions. This paper discusses a statistical method for tabulating traffic signal data by phase and time of day and populating the SAE J2735 messages. Graphical representation of the red-green and green-yellow transitions are presented from six intersections along a 4-mile corridor for five different time of day timing plans. The case study provided illustrates the importance of characterizing the stochastic variation of traffic signals to understand locations, phases, and time of day when traffic indications operate with high predictability, and periods when there are large variations in traffic signal change times. Specific cases, such as low vehicle demand and occasional actuation of pedestrian phases are highlighted as situations that may reduce the predictability of traffic signal change intervals. The results from this study also opens up discussion among transportation professionals on the importance of consistent tabulation of confidence values for both beginning and end of green signal states. We believe this paper will initiate dialog on how to consistently tabulate important data elements transmitted in SAE J2735 and perhaps refine those definitions. The paper concludes by highlighting the importance of traffic engineers and connected vehicle developers to work together to develop shared visions on traffic signal change characteristics so that the in-vehicle use cases and human-machine interface (HMI) meet user expectations.
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Raychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.

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This article discusses the current state of neurointerface technologies, not limited to deep electrode approaches. There are new heuristic ideas for creating a fast and broadband channel from the brain to artificial intelligence. One of the ideas is not to decipher the natural codes of nerve cells, but to create conditions for the development of a new language for communication between the human brain and artificial intelligence tools. Theoretically, this is possible if the brain "feels" that by changing the activity of nerve cells that communicate with the computer, it is possible to "achieve" the necessary actions for the body in the external environment, for example, to take a cup of coffee or turn on your favorite music. At the same time, an artificial neural network that analyzes the flow of nerve impulses must also be directed at the brain, trying to guess the body's needs at the moment with a minimum number of movements. The most important obstacle to further progress is the problem of biocompatibility, which has not yet been resolved. This is even more important than the number of electrodes and the power of the processors on the chip. When you insert a foreign object into your brain, it tries to isolate itself from it. This is a multidisciplinary topic not only for doctors and psychophysiologists, but also for engineers, programmers, mathematicians. Of course, the problem is complex and it will be possible to overcome it only with joint efforts.
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Liu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2102.

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In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accidents data consisting of 49 variables describing 4.2 million accident records from February 2016 to December 2020, as well as logistic regression, tree-based techniques such as Decision Tree Classifier and Random Forest Classifier (RF), and Extreme Gradient boosting (XG-boost) to process and train the models. These models will assist people in making smart real-time transportation decisions to improve mobility and reduce accidents.
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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluating the tool’s ability to identify the reporting of data elements (reported or not reported), and the relevance of the extracted sentences, fragments, and overall solutions. For each randomized trial, we measured the time to complete manual extraction and verification, and to review and amend the data extracted by ExaCT (simulating semi-automated data extraction). We summarized the relevance of the extractions for each data element using counts and proportions, and calculated the median and interquartile range (IQR) across data elements. We calculated the median (IQR) time for manual and semiautomated data extraction, and overall time savings. Results. The tool identified the reporting (reported or not reported) of data elements with median (IQR) 91 percent (75% to 99%) accuracy. Performance was perfect for four data elements: eligibility criteria, enrolment end date, control arm, and primary outcome(s). Among the top five sentences for each data element at least one sentence was relevant in a median (IQR) 88 percent (83% to 99%) of cases. Performance was perfect for four data elements: funding number, registration number, enrolment start date, and route of administration. Among a median (IQR) 90 percent (86% to 96%) of relevant sentences, pertinent fragments had been highlighted by the system; exact matches were unreliable (median (IQR) 52 percent [32% to 73%]). A median 48 percent of solutions were fully correct, but performance varied greatly across data elements (IQR 21% to 71%). Using ExaCT to assist the first reviewer resulted in a modest time savings compared with manual extraction by a single reviewer (17.9 vs. 21.6 hours total extraction time across 75 randomized trials). Conclusions. Using ExaCT to assist with data extraction resulted in modest gains in efficiency compared with manual extraction. The tool was reliable for identifying the reporting of most data elements. The tool’s ability to identify at least one relevant sentence and highlight pertinent fragments was generally good, but changes to sentence selection and/or highlighting were often required.
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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development of safe systems—as well as to define the language around autonomous agriculture—is also considered. Additionally, this report will highlight the importance of reliability in agricultural machinery and how successful commercialization of autonomy will depend on the ability to do the job correctly and consistently. A critical part of commercial success is how the autonomous agricultural vehicle fits into existing farm processes to provide a complete solution for the farmer. It is hoped that this report will help developers interested in commercializing autonomous agricultural vehicles consider more than just the technical problems to solve and make choices beneficial to market adoption.
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