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Thèses sur le sujet « Predicitons »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 19 juillet 2025

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1

PAGLIARINI, ELENA. "Predictive Timing in Developmental Dyslexia: a New Hypothesis. Anticipatory skills across language and motor domains." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/100447.

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Developmental dyslexia (DD) is a learning disorder characterized by specific difficulty in learning to read accurately and fluently. It has been argued that the source of the disorder in DD is phonological in nature (Snowling 2000; Ramus et al. 2003). However, this theory does not account for fine and gross motor problems frequently attested in DD (Lam et al., 2011; Nicolson & Fawcett, 1990). In addition, dyslexics often suffer from subtle deficits in the processing of morphosyntactic features and of complex syntactic structures (e.g., Cantiani et al. 2013; Robertson & Joanisse 2010). These fa

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Høst, Jan. "In silico predicition of intestinal transport /." Cph. : The Danish University of Pharmaceutical Sciences, 2006. http://www.dfuni.dk/index.php/Jan_Hoest/3066/0/.

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Jahanbakhsh, Alireza. "Predicition of air flow in diesel combustion chambers." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/38049.

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Giannakou, Antri. "Prediciting the progression of cognitive impairment in memory clinics." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600726.

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Neuropsychological tests are routinely undertaken at memory clinics to help diagnose Mild Cognitive Impairment (MCI) and Dementia. For those patients found to have MCI it would be clinically valuable to be able to distinguish patients at high risk of progressing to Dementia. The aim of this Thesis is to develop a prognostic algorithm using neuropsychological test performance, in order to estimate the probability of progressing to dementia in patients with MC!. The cohort providing data attended the BRACE memory clinic in Bristol, UK and comprises 643 MCI patients, 268 of whom were observed to

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Wilson, David J. "A comparison of high-latitude ionosphere propagation predicitions from AMBCOM with measured data." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/43734.

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Approved for public release; distribution is unlimited.<br>This thesis examines the performance of SRI's Ambient Communications (AMBCOM) model for high latitude propagation prediction. It is one in a series of studies, conducted at the Naval Postgraduate School, to establish the relative merits of several computer-based propagation prediction models using a standard set of measured data. AMBCOM modeled the propagation path between a transmitter located in the polar cap region and several midlatitude receiver sites. Model predictions were matched to measured data obtained during two high- latit

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Du, Toit Jacques Emile. "Prediciting functionals of brownian motion through local time-space calculus." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506582.

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黃小華 and Siu-wah Wong. "Predicition of fatigue crack propagation using strain energy density method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31209506.

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Wong, Siu-wah. "Predicition of fatigue crack propagation using strain energy density method /." [Hong Kong : University of Hong Kong], 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12751601.

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Zhang, Y. "A Molecular approach for charcterization and property predicitions of petroleum mixtures with applications to refinery modelling." Thesis, University of Manchester, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515183.

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A new consistent characterisation method has been developed to describe the complex composition of petroleum mixtures in terms of the molecular type and homologous series. The petroleum mixture is conceived as a matrix in which the rows represent carbon numbers, while each column represents a homologous series. The concentration of each individual component in the matrix can be measured using modern analytical tools such as gas chromatography (GC), high-performance liquid chromatography (HPLC), mass spectrometry (MS), field ionisation mass spectrometry (FIMS), sulphur chemiluminescence detecti

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Albajar, Viñas Ferran. "Radiation Transport Modelling in a Tokomak Plasma: Application to Performance Prediciton and Design of Future Machines." Doctoral thesis, Universitat Politècnica de Catalunya, 2001. http://hdl.handle.net/10803/6599.

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The understanding and modelling of heat and radiation transport in tokamak plasmas is essential in order to progress in the development of thermonuclear fusion towards a practical energy source which meets all the future needs of environment, safety, and fuel inexhaustibility. This activity enables prospective studies and design to be carried out for next step tokamaks. Due to the complexity of the exact calculation, synchrotron losses are usually estimated in such studies, with expressions derived from a plasma description using simplifying assumptions on the geometry, radiation absorption, d

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Rideg, Johan, and Max Markensten. "Are we there yet? : Prediciting bus arrival times with an artificial neural network." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386548.

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Public transport authority UL (Upplands Lokaltrafik) aims to reduce emissions, air pollution, and traffic congestion by providing bus journeys as an alternative to using a car. In order to incentivise bus travel, accurate predictions are critical to potential passengers. Accurate arrival time predictions enable the passengers to spend less time waiting for the bus and revise their plan for connections when their bus runs late. According to literature, Artificial Neural Networks (ANN) has the ability to capture nonlinear relationships between time of day and position of the bus and its arrival

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Asgaryan, Mohammad. "Prediciton of the remaining service life of superheater and reheater tubes in coal-biomass fired power plants." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8278.

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As a result of concern about the effects of CO2 emssions on the global warming, there is increasing pressure to reduce such emissions from power generation systems. The use of biomass co-firing with coal in conventional pulverised fuel power plants has provided the most immediate route to introduce a class of fuel that is regarded as both sustainable and carbon neutral as it produces less net CO2 emissions. In the future it is anticipated that increased levels of biomass will be required to use in such systems to accomplish the desired CO2 emissions targets. The use of biomass, however, is bel

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Tate, Geoffrey W. "Machine learning for predicitng the risk of osteoporosis from patient attributes, health and lifestyle history." Thesis, Cranfield University, 2004. http://dspace.lib.cranfield.ac.uk/handle/1826/11346.

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The most widely-used method for diagnosis of osteoporosis is to determine bone mineral density (BMD) by bone densitometry. At present mass screening is not, on the basis of resource constraints, considered a option. This project investigates if artificial neural networks (ANN s) or Baysian networks (BNs), using the health and lifestyle history of a patient, (risk factors - used as a generic term for inputs) may be used to develop a preliminary screening system to determine in a patient is at particular risk from osteoporosis and hence in need of a scan. Two databases have been used, one contai

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Rauch, Alan F. "EPOLLS: An Empirical Method for Prediciting Surface Displacements Due to Liquefaction-Induced Lateral Spreading in Earthquakes." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30346.

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In historical, large-magnitude earthquakes, lateral spreading has been a very damaging type of ground failure. When a subsurface soil deposit liquefies, intact blocks of surficial soil can move downslope, or toward a vertical free face, even when the ground surface is nearly level. A lateral spread is defined as the mostly horizontal movement of gently sloping ground (less than 5% surface slope) due to elevated pore pressures or liquefaction in undelying, saturated soils. Here, lateral spreading is defined specifically to exclude liquefaction failures of steeper embankments and retaining walls

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Perry, Robert Theodore. "The efficacy of attribution theory for prediciting [sic] MSW's orientations towards treating children with attention deficit disorders." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/2027.

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An overview of Attention Deficit Disorders is given along with a description of attribution theory and issues facing MSWs in CPS type settings. A questionnaire was administered to Masters of Social Workers (MSWs) employed by the Department of Children's Services, San Bernardino, California to test the hypothesis that Master of Social Work (MSW) workers attitudes towards children with Attention Deficit Disorders (ADD/ADHD) are affected by the perceived cause of the disorders.

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16

Rutaganda, Remmy. "Automated Model-Based Reliability Prediction and Fault Tree Analysis." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-67240.

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This work was undertaken as a final year project in Computer Engineering, within the Department of Computer and Information Science at Linköping University. At the Department of Computer and Information Science, work oriented at testing and analyzing applications is developed to provide solution approaches to problems that arise in system product development. One of the current applications being developed is the ‘Systemics Analyst’. The purpose of the application is to facilitate for system developers with an analysis tool permitting insights on system reliability, system critical components,

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Danielsson, Jakob, and Anton Forsberg. "Crowd-based Network Prediction : a Comparison of Data-exchange Policies." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119685.

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Network performance maps can be used as a tool to predict network conditions at a given location, based on previous measurements at that location. By using measurement data from other users in similar locations, these predictions can be significantly improved. This thesis looks into the accuracy of predictions when using different approaches to distribute this data between users, we compare the accuracy of predictions achieved by using a central server containing all known measurements to the accuracy achieved when using a crowd-based approach with opportunistic exchanges between users. Using

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18

Tom, Tracey Hiroto Alena. "Development of Wave Prediction and Virtual Buoy Systems." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/120845.

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Smith, Marcus Edward Brockbank. "A Parametric Physics Based Creep Life Prediction Approach to Gas Turbine Blade Conceptual Design." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22637.

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The required useful service lives of gas turbine components and parts are naturally one of the major design constraints limiting the gas turbine design space. For example, the required service life of a turbine blade limits the firing temperature in the combustor, which in turn limits the performance of the gas turbine. For a cooled turbine blade, it also determines the necessary cooling flow, which has a strong impact on the turbine efficiency. In most gas turbine design practices, the life prediction is only emphasized during or after the detailed design has been completed. Limited life pred

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Olsson, Kevin, and Valeriy Ivinskiy. "Predicting runners’ oxygen consumption on flat terrain using accelerometer data." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252749.

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This project aimed to use accelerometer data and KPIs to predict the oxygen consumption of runners’ during exercises on flat terrain. Based on many studies researching the relationship between oxygen consumption and running economy and a small set of data, a model was constructed which had a prediction accuracy of 81.1% on one individual. Problems encountered during the research include issues with comparing data from different systems, model nonlinearity and data noise. These problems were solved using transformation of data in the R software, model re-specification and identifying outlying o

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Isacson, Jonas. "Network Interconnectivity Prediction from SCADA System Data : A Case Study in the Wastewater Industry." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255812.

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Increased strain on incumbent wastewater distribution networks originating from population increases as well as climate change calls for enhanced resource utilization. Accurately being able to predict network interconnectivity is vital within the wastewater industry to enable operational management strategies that optimizes the performance of the wastewater system. In this thesis, an evaluation of the network interconnectivity prediction performance of two machine learning models, the multilayer perceptron (MLP) and the support vector machine (SVM), utilizing supervisory control and dataacquis

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22

PRADHAN, Bharat. "Out of Plane response of Unreinforced Masonry infills: Comparative analysis of experimental tests for the definition of strategies of macro modelling and fragility prediction." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/578468.

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During an earthquake, an interaction between the in-plane and out-of-plane seismic forces occurs and the infilled frames suffer damage in both in-plane and out-of-plane directions simultaneously. Particularly, the out-of-plane collapse of unreinforced masonry infill walls is critical even for new buildings complying with the modern seismic codes, resulting in high casualties and huge economic losses. However, the out-of-plane behaviour of infill walls is yet not fully understood. This study is therefore aimed towards characterizing the out-of-plane seismic capacity of unreinforced masonry infi

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Royo, Aznar Ana. "Factores predictivos de la reconstrucción instestinal tras la intervención de Hartmann." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/458134.

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Introducción. Actualmente la intervención de Hartmann es una alternativa válida en el tratamiento de patologías de colon izquierdo o recto en pacientes ASA IV, con peritonitis fecaloidea, desnutridos, inmunodeprimidos o con inestabilidad hemodinámica. Se emplea en casos de riesgo de dehiscencia anastomótica, de recidiva tumoral o de incontinencia anal. Sin embargo, los factores relacionados con la decisión de reconstruir el tránsito intestinal no están tan bien establecidos. El objetivo principal del estudio consiste en determinar si existen factores que pueden predecir la reconstrucción intes

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Engelmann, James E. "An Information Management and Decision Support tool for Predictive Alerting of Energy for Aircraft." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1595779161412401.

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Tsai, Meng-Ta, and 蔡孟達. "Chaotic Pig-Divined Prediciton of New Era." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/bk6qx6.

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碩士<br>國立臺北藝術大學<br>造形研究所<br>96<br>As a creator in this complex new era today, the context from the observation to a fusion, metropolis mixed relationships and ideology to our vast world culture of today, is presented through the creation of art series “Chaotic Pig”. This thesis statement in hope to dissect author’s self emotional and physical stage through careful self-diagnose as an approach to visualize icons and symbols that the society incidents may bring through author’s artistic interpretations. Art present a way of life and in regards to the youth generation of Taiwan, the fashion tren

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Liau, Yue-Der, and 廖育德. "A New Approach for Dynamic Brach Prediciton." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/40245513583246514083.

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碩士<br>淡江大學<br>電機工程學系<br>87<br>Due to the popular application of the deeply-pipelined and widely-issued processors today, branch prediction has become more important than ever. The design of an excellent branch predictor becomes more vital to delivering the potential performance of a widely issued ,deeply-pipelined microarchitecture. The performance of processors(especially superscalar pipelined and super pipelined processors) will be designed when branch instructions occur in the control flow. Because changes in the control flow can not be predicted, memory cycles will be wasted on

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Pereira, Pedro Miguel Piedade Mota. "Failure Prediciton - An Application in the Railway Industry." Master's thesis, 2014. https://repositorio-aberto.up.pt/handle/10216/77318.

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Pereira, Pedro Miguel Piedade Mota. "Failure Prediciton - An Application in the Railway Industry." Dissertação, 2014. https://repositorio-aberto.up.pt/handle/10216/77318.

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Chen, Chih-Hao, and 陳志豪. "Prediciting cox model with time-dependent covaroates." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/47531847645189328084.

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碩士<br>國立政治大學<br>統計研究所<br>93<br>It is so called “time-dependent covariates” that the values of covariates change over time. Time-dependent covariates are measured repeatedly and often appear in the longitudinal data. Time-dependent covariates can be regularly or irregularly measured. In the regular case, we can ignore the TEL(time elapsed since last observation) effect and the grouped Cox model or the pooled logistic regression model is employed to anlalyze. The pooled logistic regression is an analytic method using the“person-period”approach. The grouped Cox model and the pooled logistic regre

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Bensch, Michael, Dominik Brugger, Wolfgang Rosenstiel, Martin Bogdan, and Wilhelm Spruth. "Self-Learning Prediciton System for Optimisation of Workload Managememt in a Mainframe Operating System." 2007. https://ul.qucosa.de/id/qucosa%3A32106.

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We present a framework for extraction and prediction of online workload data from a workload manager of a mainframe operating system. To boost overall system performance, the prediction will be corporated into the workload manager to take preventive action before a bottleneck develops. Model and feature selection automatically create a prediction model based on given training data, thereby keeping the system flexible. We tailor data extraction, preprocessing and training to this specific task, keeping in mind the nonstationarity of business processes. Using error measures suited to our task, w

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CHING, CHENG TZU, and 鄭慈靜. "Preschool children, elementary children and adults' models for prediciting teleological action." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/36819173174171927361.

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碩士<br>國立屏東師範學院<br>國民教育研究所<br>92<br>This study means to explore three levels of people’s--preschool children, elementary children and adults--teleological actions toward animals, plants, machines and artifacts. It goes further to explore and analyze the people among three levels’ deduction models to the concept of animate. One-by-one interview is conduct in the methodology. Twenty four preschool children, and fifth-grade children and adults are the subject in interview. Each member within the three levels was examined under the following two condition：benefit-present condition and benefit-absen

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Smith, Mark Preston. "Prediciting fuel models and subsequent fire behavior from vegetation classification maps." 2003. http://www.lib.ncsu.edu/theses/available/etd-08122003-152132/unrestricted/etd.pdf.

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Faruk, Abu N. "Prediciting Size Effects and Determing Length Scales in Small Scale Metaliic Volumes." Thesis, 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7981.

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The purpose of this study is to develop an understanding of the behavior of metallic structures in small scales. Structural materials display strong size dependence when deformed non-uniformly into the inelastic range. This phenomenon is widely known as size effect. The primary focus of this study is on developing analytical models to predict some of the most commonly observed size effects in structural metals and validating them by comparing with experimental results. A nonlocal rate-dependent and gradient dependent theory of plasticity on a thermodynamically consistent framework is adopted f

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"Radiation Transport Modelling in a Tokomak Plasma: Application to Performance Prediciton and Design of Future Machines." Universitat Politècnica de Catalunya, 2001. http://www.tesisenxarxa.net/TDX-0114104-103202/.

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Bhaskaran, Ganesh. "Prediciting the corrosion and stress corrosion performance of copper in anaerobic sulfide solution." Thesis, 2010. http://hdl.handle.net/1807/25432.

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Stress corrosion cracking (SCC) susceptibility of the phosphorus de-oxidized copper has been evaluated in synthetic seawater polluted by sulfides using slow strain rate test (SSRT). The effect of concentration of sulfide, temperature, and applied cathodic and anodic potentials on the final strain values and maximum stress were also studied. No cracks were found under the tested conditions. The final strain and maximum stress values decreased but not significantly, with increase in the temperature, applied anodic potential and sulfide concentration. The observed effect is due to the section red

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Pawlak, Daniel T. "Development and evaluation of a shortwave full-spectrum correlated K-distribution radiative transfer algorithm for numerical weather prediciton." 2004. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-645/index.html.

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Obiosa-Maife, Collins. "Predicition of the molecular structure of ill-defined hydrocarbons using vibrational, 1H, and 13C NMR spectroscopy." Master's thesis, 2009. http://hdl.handle.net/10048/803.

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This represents a proof-of-concept study of the appropriateness of vibrational and NMR spectroscopy for predicting the molecular structure of large molecules on the basis of a library of small molecules. Density Functional Theory (DFT) B3LYP/6-311G was used generate all spectra. 20 model compounds comprising two multiple-ringed polynuclear aromatic hydrocarbons (PAHs) connected by varying aliphatic chain-lengths were investigated. A least squares optimization algorithm was developed to determine the contribution of molecular subunits in the model compounds. 1H and 13C NMR spectroscopy failed t

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Liu, Ye-Nong, and 劉儀農. "Survey of Compliance with Labeling in Commercial Beef Jerky and Effects of Different Packagings on Shelf Life Predicition of Homemade Beef Jerky." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/49j5qs.

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碩士<br>台北海洋科技大學<br>食品科技與行銷系碩士班<br>107<br>Beef jerky is a popular traditional Chinese snack. It is enjoyed and by people of all ages owing to the many unique flavors available, convenience, long shelf life, and portability. For this study, 50 beef jerky products from 9 manufacturers were obtained from 6 major retail franchises between January and June, 2016. The packaging of the commercially available beef jerkies was evaluated. This packaging should comply with article #22 of the Act Governing Food Safety and Sanitation in terms of product naming, ingredient declaration, net weight, place of or

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PAPARCONE, RAFFAELLA, Stefano MOROSETTI, Anita SCIPIONI, and SANTIS Pasquale DE. "Superstructural information in DNA sequences: from structural toward functional genomics." Doctoral thesis, 2005. http://hdl.handle.net/11573/391173.

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Although DNA is iconized as a straight double helix, it does not exist in this canonical form in biological systems. Instead, it is characterized by sequence dependent structural and dynamic deviations from the monotonous regularity of the canonical B-DNA. Despite the complexity of the system, we showed that DNA structural and dynamics large-scale properties can be predicted starting from the simple knowledge of nucleotide sequence by adopting a statistical approach. The paper reports the statistical analysis of large pools of different prokaryotic genes in terms of the sequence-dependent curv

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