cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Effect Of Customer Relationship Marketing On Customer Loyalty: In The Case Of Selected Banks In Addis Ababa
Creators: name: Asrat, Selamawit
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2017

description: This research was conducted to investigate the effect of customer relationship marketing on customer loyalty: the case of selected banks in Addis Ababa. The research design was an explanatory research type. CRM as a strategy has gained tremendous interest among researchers and practitioners in recent times. Thus, the study tried to assess the status and ways CRM has been put in to practice by selected Ethiopian banks. In addition, this research considered different CRM dimensions such as trust, reciprocity, empathy, bonding and responsiveness. Data were collected through the five point's likert scales of questionnaires and used mixed research approach. To achieve the objective of the study, questionnaire was physically distributed to 322 customers of Commercial Bank of Ethiopia, Awash International Bank and Dashen bank. Out of 322 customers 270 (84%) customers were completed and collected. Descriptive, correlation and regression analysis methods were used to analyze the collected data by using SPSS software version 20 and Questionnaires reliability was estimated by calculating Cronbach's Alpha. Descriptive analysis tools such as frequency, percentage, mean and standard deviation and statistical analysis tools such as correlation coefficient was worked out and used to explore the relationships between variables. Regression analysis was performed to study the effect of independent variables on customer loyalty. Research findings indicates that there was a significant relation between customer relationship marketing components including trust, bonding, reciprocity, empathy and responsiveness on customer loyalty and also to regression testing that all variables were examined simultaneously on customer loyalty; results showed that all components have a significant effect on customer loyalty. The finding also suggests some measures which can be taken into consideration in order to enhance CRM practices of the three selected banks. The study also clearly revealed that the five CRM dimensions are strongly related. Thus, from customers of the three banks perspective, CRM has a significant influence on customer loyalty of the selected banks.
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
Creators: name: Sajid, Unaiza
name: Khan, Rizwan Ahmed
name: Shah, Shahid Munir
name: Arif, Sheeraz
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of millions of women. Given the widespread prevalence of breast cancer, it is of utmost importance for the research community to come up with the framework for early detection, classification and diagnosis. Artificial intelligence research community in coordination with medical practitioners are developing such frameworks to automate the task of detection. With the surge in research activities coupled with availability of large datasets and enhanced computational powers, it expected that AI framework results will help even more clinicians in making correct predictions. In this article, a novel framework for classification of breast cancer using mammograms is proposed. The proposed framework combines robust features extracted from novel Convolutional Neural Network (CNN) features with handcrafted features including HOG (Histogram of Oriented Gradients) and LBP (Local Binary Pattern). The obtained results on CBIS-DDSM dataset exceed state of the art.
The determinate and indeterminate fields of monochrome painting
Creators: name: Fairnie, Heather.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
التجربة الأمريكية في مجال استغلال طاقة الكتلة الحيوية لأغراض الاستدامة
Creators: name: خلوفي, سفيان
Publisher: name: figshare
Year: 2023
Subjects: Ecological economics
Other economics not elsewhere classified

description: جاءت هذه الدراسة لترصد أحد أهم وأبراز الخبرات العالمية في مجال إستغال طاقة الكتلة الحيوية وهي تجربة الولايات المتحدة الامريكية، باعتبار طاقة الكتلة الحيوية مصادر من مصادر الطاقة المتجددة. توصلت هذه الدراسة إلى أن طاقة الكتلة الحيوية تأتي في المقام الأول من المخلفات الخشبية والزراعية التي يتم حرقها كوقود للتوليد المشترك للكهرباء والحرارة في القطاع الصناعي. وفي سنة 2017 سجلت الولايات المتحدة الأمريكية زيادة في توليد الطاقة بالكتلة الحيوية بنسبة 2.9٪ مقارنتنا مع سنة 2016، وهو ما يمثل أكثر من 9٪ من إجمالي الطاقة المتجددة المتولدة في الولايات المتحدة و 1.6 ٪ من إجمالي توليد الطاقة من جميع المصادر. كما وأن قدرة الطاقة الحيوية في الولايات المتحدة الأمريكية ترتكز في كل من ولاية فلوريدا، كاليفورنيا، جورجيا وماين، وأوصت الدراسة في الأخير بضرورة الاقتداء بالتجربة الأمريكية في استغلال طاقة الكتلة الحيوية باعتبارها تجربة ناجحة في تطوير وتنويع مصادر الطاقات المتجددة. الكلمات المفتاحية: كتلة حيوية، طاقة متجددة، الولايات المتحدة الأمريكية. This study is intended to monitor one of the most important and prominent global experiences in the field of biomass energy utilization, the experience of the United States of America, as biomass energy sources from renewable sources of energy. This study found that biomass energy comes primarily from wood and agricultural waste, which is burned as a fuel for co-generation of electricity and heat in the industrial sector. In 2017, the United States recorded an increase in biomass generation by 2.9% compared to 2016, accounting for more than 9% of the total renewable energy generated in the United States and 1.6% of total power generation from all sources. In the United States of America, bioenergy is based in Florida, California, Georgia and Maine, and the study recommended that the US experiment in biomass energy use be used as a successful experiment in developing and diversifying sources of renewable energies. Key words: biomass, Renewable Energy, United States of America.
Non-associativity in non-geometric string and M-theory backgrounds, the algebra of octonions, and missing momentum modes
Creators: name: Gunaydin, Murat
name: Lust, Dieter
name: Malek, Emanuel
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We propose a non-associative phase space algebra for M-theory backgrounds with locally non-geometric fluxes based on the non-associative algebra of octonions. Our proposal is based on the observation that the non-associative algebra of the non-geometric R-flux background in string theory can be obtained by a proper contraction of the simple Malcev algebra generated by imaginary octonions. Furthermore, by studying a toy model of a four-dimensional locally non-geometric M-theory background which is dual to a twisted torus, we show that the non-geometric background is "missing" a momentum mode. The resulting seven-dimensional phase space can thus be naturally identified with the imaginary octonions. This allows us to interpret the full uncontracted algebra of imaginary octonions as the uplift of the string theory R-flux algebra to M-theory, with the contraction parameter playing the role of the string coupling constant $g_s$.
description: 27 pages
Changing Lifestyles Towards a Low Carbon Economy: An IPAT Analysis for China
Creators: name: Hubacek, Klaus
name: Feng, Kuishuang
name: Chen, Bin
Publisher: name: MDPI
Year: 2011
Subjects: IPAT
lifestyle
technology
energy consumption
Co2 emissions
China

description: China has achieved notable success in developing its economy with approximate 10 percent average annual GDP growth over the last two decades. At the same time, energy consumption and CO2 emissions almost doubled every five years, which led China to be the world top emitter in 2007. In response, China’s government has put forward a carbon mitigation target of 40%–45% reduction of CO2 emission intensity by 2020. To better understand the potential for success or failure of such a policy, it is essential to assess different driving forces such as population, lifestyle and technology and their associated CO2 emissions. This study confirms that increase of affluence has been the main driving force for China’s CO2 emissions since the late 1970s, which outweighs reductions achieved through technical progress. Meanwhile, the contribution of population growth to CO2 emissions was relatively small. We also found a huge disparity between urban and rural households in terms of changes of lifestyle and consumption patterns. Lifestyles in urban China are beginning to resemble Western lifestyles, and approaching their level of CO2 emissions. Therefore, in addition to the apparent inefficiencies in terms of production technologies there is also a lot of room for improvement on the consumption side especially in interaction of current infrastructure investments and future consumption.
Individual and Public-Program Adaptation: Coping with Heat Waves in Five Cities in Canada
Creators: name: Alberini, Anna
name: Gans, Will
name: Alhassan, Mustapha
Publisher: name: MDPI
Year: 2011
Subjects: Heat Alert Response Systems (HARS)
Heat/Health Watch/Warning Systems (HHWW)
excessive heat
heat-related illness

description: Heat Alert and Response Systems (HARS) are currently undergoing testing and implementation in Canada. These programs seek to reduce the adverse health effects of heat waves on human health by issuing weather forecasts and warnings, informing individuals about possible protections from excessive heat, and providing such protections to vulnerable subpopulations and individuals at risk. For these programs to be designed effectively, it is important to know how individuals perceive the heat, what their experience with heat-related illness is, how they protect themselves from excessive heat, and how they acquire information about such protections. In September 2010, we conducted a survey of households in 5 cities in Canada to study these issues. At the time of the survey, these cities had not implemented heat outreach and response systems. The study results indicate that individuals’ recollections of recent heat wave events were generally accurate. About 21% of the sample reported feeling unwell during the most recent heat spell, but these illnesses were generally minor. Only in 25 cases out of 243, these illnesses were confirmed or diagnosed by a health care professional. The rate at which our respondents reported heat-related illnesses was higher among those with cardiovascular and respiratory illnesses, was higher among younger respondents and bore no relationship with the availability of air conditioning at home. Most of the respondents indicated that they would not dismiss themselves as “not at risk” and that they would cope with excessive heat by staying in air conditioned environments and keeping well hydrated. Despite the absence of heat outreach and education programs in their city, our respondents at least a rough idea of how to take care of themselves. The presence of air conditioning and knowledge of cooling centers is location-specific, which provides opportunities for targeting HARS interventions.
Efficient Photon Upconversion Enabled by Strong Coupling Between Organic Molecules and Quantum Dots
Creators: name: Wang, Kefu
name: Cline, R. Peyton
name: Schwan, Joseph
name: Strain, Jacob M.
name: Roberts, Sean T.
name: Mangolini, Lorenzo
name: Eaves, Joel D.
name: Tang, Ming Lee
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Hybrid structures formed between organic molecules and inorganic quantum dots can accomplish unique photophysical transformations by taking advantage of their disparate properties. The electronic coupling between these materials is typically weak, leading photoexcited charge carriers to spatially localize to a dot or a molecule at its surface. However, we show that by converting a chemical linker that covalently binds anthracene molecules to silicon quantum dots from a carbon-carbon single bond to a double bond, we access a strong-coupling regime where excited carriers spatially delocalize across both anthracene and silicon. By pushing the system to delocalize, we design a photon upconversion system with a higher efficiency (17.2%) and lower threshold intensity (0.5 W/cm^2) than that of a corresponding weakly-coupled system. Our results show that strong coupling between molecules and nanostructures achieved through targeted linking chemistry provides a new route for tailoring properties in materials for light-driven applications.
description: 33 pages (20 in main text, 13 in supporting information), 12 figures (5 in main text, 7 in supporting information)
Amtliche Mitteilungen der Universität Dortmund Nr. 02/81
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Dortmund
Year: 1981
Subjects: subject: 080

description: Empfehlungen des Senates der Universität Dortmund für die Aufstellung von Promotionsordnungen
description: Amtliche Mitteilungen der Universität Dortmund ; 2, 1981
Optimal fitting of gaussian-apodized or under-resolved emission lines in Fourier Transform spectra providing new insights on the velocity structure of NGC 6720
Creators: name: Martin, Thomas B.
name: Prunet, Simon
name: Drissen, Laurent
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: An analysis of the kinematics of NGC 6720 is performed on the commissioning data obtained with SITELLE, the Canada-France-Hawaii Telescope's new imaging Fourier transform spectrometer. In order to measure carefully the small broadening effect of a shell expansion on an unresolved emission line, we have determined a computationally robust implementation of the convolution of a Gaussian with a sinc instrumental line shape which avoids arithmetic overflows. This model can be used to measure line broadening of typically a few km/s even at low spectral resolution (R less than 5000). We have also designed the corresponding set of Gaussian apodizing functions that are now used by ORBS, the SITELLE's reduction pipeline. We have implemented this model in ORCS, a fitting engine for SITELLE's data, and used it to derive the [SII] density map of the central part of the nebula. The study of the broadening of the [NII] lines shows that the Main Ring and the Central Lobe are two different shells with different expansion velocities. We have also derived deep and spatially resolved velocity maps of the Halo in [NII] and Halpha and found that the brightest bubbles are originating from two bipolar structures with a velocity difference of more than 35 km/s lying at the poles of a possibly unique Halo shell expanding at a velocity of more than 15 km/s.
The effects of sales training practice on salesperformance: The Case of Yes Food and Beverage Plc
Creators: name: Sahle, Tesfaye
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: The study assessed the effect of sales training on sales performance of Yes brand food and beverage plc. To achieve, the overall objective, the study specifically focused to addressing major steps of sales training and its effect on sales performance, accordingly, the study assess the organization need assessment, organizational strategies and support of materials and inputs, delivery techniques of training, sales management support and monitoring practice as well as measured sales performance. To address the area relevant data were collected both from sales forces of the organization using structured questionnaire and organizational document. Accordingly, the study consider only employee respondents worked in sales and organizational management. Based on this the study were analyzed the collected data using descriptive and explanatory data analysis method. Accordingly, the major finding of the study implied that, the organization need assessment practice were negatively affect sales performance, this is because need assessment were not assess competitors strategies as well as customers need, there were also a organizational support challenges that affect sales training practice of the organization, the other challenges that affect sales training effeteness was lack of managerial support and constrictive feedback of performance evaluation. Generally, the study concludes that, the organization didn't strictly implement training steps such as, in appropriate need assessment practice, lack of organization support, lack of effective monitoring and evaluation system and this situation affect the delivered training effectiveness of sales forces. Based on this the study were recommend some of major points such as, organizations should look at the positive effects of training on employee performance, and consider employee development as a targeted investment in making the workers stronger. More importantly, development plans that include better strategies of how needs identified, budget and material impute allocation, delivery techniques of training, how sales supported and monitored after training on job and off job strategies and involves constrictive evaluation feedback
Amtliche Mitteilungen der Universität Dortmund Nr. 05/81
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Dortmund
Year: 1981
Subjects: subject: 080

description: 1. Änderung der Diplomprüfungsordnung der Abteilung Mathematik
description: 2. Vorläufige Diplomprüfungsordnung der Abteilung Informatik
description: Amtliche Mitteilungen der Universität Dortmund ; 5, 1981
Search for resonant $WZ \rightarrow \ellν\ell^{\prime}\ell^{\prime}$ production in proton$-$proton collisions at $\mathbf{\sqrt{s} = 13}$ TeV with the ATLAS detector
Creators: name: ATLAS Collaboration
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A search for a $WZ$ resonance, in the fully leptonic final state (electrons and muons), is performed using 139 fb$^{-1}$ of data collected at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. The results are interpreted in terms of a singly charged Higgs boson of the Georgi$-$Machacek model, produced by $WZ$ fusion, and of a Heavy Vector Triplet, with the resonance produced by $WZ$ fusion or the Drell$-$Yan process. No significant excess over the Standard Model predictions is observed and limits are set on the production cross-section times branching ratio as a function of the resonance mass for these processes.
description: 68 pages in total, author list starting page 36, 13 figures, 4 tables, submitted to EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HDBS-2018-19/
Active colloids in the context of chemical kinetics
Creators: name: Oshanin, G.
name: Popescu, M. N.
name: Dietrich, S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study a mesoscopic model of a chemically active colloidal particle which on certain parts of its surface promotes chemical reactions in the surrounding solution. For reasons of simplicity and conceptual clarity, we focus on the case in which only electrically neutral species are present in the solution and on chemical reactions which are described by first order kinetics. Within a self-consistent approach we explicitly determine the steady state product and reactant number density fields around the colloid as functionals of the interaction potentials of the various molecular species in solution with the colloid. By using Teubner's reciprocal theorem, this allows us to compute and to interpret -- in a transparent way in terms of the classical Smoluchowski theory of chemical kinetics -- the external force needed to keep such a catalytically active colloid at rest (\textit{stall} force) or, equivalently, the corresponding velocity of the colloid \textit{if} it is free to move. We use the particular case of triangular-well interaction potentials as a benchmark example for applying the general theoretical framework developed here. For this latter case, we derive explicit expressions for the dependences of the quantities of interest on the diffusion coefficients of the chemical species, the reaction rate constant, the coverage by catalyst, the size of the colloid, as well as on the parameters of the interaction potentials. These expressions provide a detailed picture of the phenomenology associated with catalytically-active colloids and self-diffusiophoresis.
description: 63 pages, 5 figures
Semi-field Application of a New Formulation Based on Spodoptera litura Nuclear Polyhedrosis Virus and Bacillus thuringiensis subsp. mexicanensis Against Cotton Leaf Worm, Spodoptera littoralis and Root Knot Nematode, Meloidogyne incognita in Egypt
Creators: name: Alfy, Hanan
Publisher: name: King Mongkut's Institute of Technology Ladkrabang
Year: 2020
Subjects: batch adsorption, Imperata cylindrica, produced water

description: Current Applied Science and Technology, 20, 3, 512-527
Amtliche Mitteilungen der Universität Dortmund Nr. 04/84
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Dortmund
Year: 1984
Subjects: subject: 080

description: Ordnung des Instituts für Journalistik des Fachbereichs Sprach- und Literaturwissenschaften, Journalistik und Geschichte der Universität Dortmund vom 14. 5. 1984
description: Amtliche Mitteilungen der Universität Dortmund ; 4, 1984
Non-perturbative simple-generated interactions with a quantum field for arbitrary Gaussian states
Creators: name: Tjoa, Erickson
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this work we first collect and generalize several existing non-perturbative models for the interaction between a single two-level qubit detector and a relativistic quantum scalar field in arbitrary curved spacetimes, where the time evolution is given by simple-generated unitaries, i.e., those generated by Schmidt rank-1 interaction Hamiltonians. We then extend the relativistic quantum channel associated to these non-perturbative models to include a very large class of Gaussian states of the quantum field, that includes an arbitrary combinations of coherent and squeezing operations (i.e., Gaussian operations) on the field. We show that all physical results involving the non-vacuum Gaussian states can be rephrased in terms of interaction with the vacuum state but with Gaussian operators applied to the field operators via the adjoint channel, effectively giving a "Fourier transformed" interpretation of the Gaussian operations in terms of the causal propagators in spacetime. Furthermore, we show that in these non-perturbative models it is possible to perform exact computation of the Rényi entropy and hence, via the replica trick, the von Neumann entropy for the field state after the interaction with the detector, without making any assumptions about the purity of the joint initial states of the detector and the field. This gives us a three-parameter family of "generalized cat states" of the field whose entropies are finite and exactly computable.
description: 17+2 pages; RevTeX4-2; v4: major rewriting - included Renyi entropy of the field and replica trick
Fast Bayesian inference of optical trap stiffness and particle diffusion
Creators: name: Bera, Sudipta
name: Paul, Shuvojit
name: Singh, Rajesh
name: Ghosh, Dipanjan
name: Kundu, Avijit
name: Banerjee, Ayan
name: Adhikari, R.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Bayesian inference provides a principled way of estimating the parameters of a stochastic process that is observed discretely in time. The overdamped Brownian motion of a particle confined in an optical trap is generally modelled by the Ornstein-Uhlenbeck process and can be observed directly in experiment. Here we present Bayesian methods for inferring the parameters of this process, the trap stiffness and the particle diffusion coefficient, that use exact likelihoods and sufficient statistics to arrive at simple expressions for the maximum a posteriori estimates. This obviates the need for Monte Carlo sampling and yields methods that are both fast and accurate. We apply these to experimental data and demonstrate their advantage over commonly used non-Bayesian fitting methods.
description: minor changes and added journal references
An Assessment of the Role of Environmental NGO's in Environmental Protection: Challenges and Prospects
Creators: name: Mohammed, Enas
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2014

description: Environmental protection is an irresistible issue. Every being and entity at national, regional, local and institutional level has an obligation and duty to protect it. Environmental protection is a practice of protecting the environment with policies and procedures aimed at conserving natural resources, reversing degradation and sustainable development for the benefit of the natural environment and humans surrounding it. Today, the necessity of environmental awareness and enforcement is more demanding and urgent than ever before. Despite provisions in Ethiopian Constitution providing for environmental protection and statutory provisions, the problem of environment still exists. The main cause for the continuing environmental problem is lack of sufficient system for management of resources coupled with lack of environmental awareness and weak participation of the public and organizations. The involvement of NGOs in environment protection represents an organized response by civil society in those areas in which the state has either failed to reach or done so in adequately. This study examines the roles of environmental NGOs in environmental protection, focusing mainly on the roles of environmental NGOs in their role towards climate mitigation and adaptation. The study was carried out on three selected international environmental NGOs; ACCRA, CCF-E and FfE. It relied on both primary and secondary sources of data, methods of data collection and analysis. Personal visit was made to the organizations in collecting primary and secondary data. The findings of the study showed that, NGOs have been taking a number of steps to promote discussion and debate about environmental issues. Advocacy and awareness is especially crucial in promoting concepts such as sustainable development, natural resource conservation and the restoration of ecosystems. NGOs sensitize policy makers about local needs, provide training facilities and undertake research and publication on environment and development related issues. The study recommends for the development of strong institutional framework. It is necessary to support and encourage genuine, small, local level NGOs in different parts of the country which can provide extended institutional support
Dictionary Learning with Equiprobable Matching Pursuit
Creators: name: Sandin, Fredrik
name: Martin-del-Campo, Sergio
Publisher: name: arXiv
Year: 2016
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Sparse signal representations based on linear combinations of learned atoms have been used to obtain state-of-the-art results in several practical signal processing applications. Approximation methods are needed to process high-dimensional signals in this way because the problem to calculate optimal atoms for sparse coding is NP-hard. Here we study greedy algorithms for unsupervised learning of dictionaries of shift-invariant atoms and propose a new method where each atom is selected with the same probability on average, which corresponds to the homeostatic regulation of a recurrent convolutional neural network. Equiprobable selection can be used with several greedy algorithms for dictionary learning to ensure that all atoms adapt during training and that no particular atom is more likely to take part in the linear combination on average. We demonstrate via simulation experiments that dictionary learning with equiprobable selection results in higher entropy of the sparse representation and lower reconstruction and denoising errors, both in the case of ordinary matching pursuit and orthogonal matching pursuit with shift-invariant dictionaries. Furthermore, we show that the computational costs of the matching pursuits are lower with equiprobable selection, leading to faster and more accurate dictionary learning algorithms.
description: 8 pages, 8 figures
ESR 4: Micro Teaching - Production of sustainable and recyclable phosphorus flame retardant additives
Creators: name: Fonseca, Alejandro
Publisher: name: Zenodo
Year: 2022
Subjects: flame retardant
sustainability

description: Micro Teaching by ESR 4 Alejandro Fonseca on "Production of sustainable and recyclable phosphorus flame retardant additives". Talk delivered in the Network-Wide Training Event 6 of C-PlaNeT EU H2020 project at TU/e, in Eindhoven, The Netherlands.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 859885.
The Hardness and Strength Properties of WC-Co Composites
Creators: name: Armstrong, Ronald W.
Publisher: name: MDPI
Year: 2011
Subjects: hardness
cracking
indentation fracture mechanics
dislocations
fracture stress
stress intensity
WC-Co composite
cemented carbide
WC
MgO
toughness
Hall-Petch relation
contiguity

description: The industrially-important WC-Co composite materials provide a useful, albeit complicated materials system for understanding the combined influences on hardness and strength properties of the constituent WC particle strengths, the particle sizes, their contiguities, and of Co binder hardness and mean free paths, and in total, the volume fraction of constituents. A connection is made here between the composite material properties, especially including the material fracture toughness, and the several materials-type considerations of: (1) related hardness stress-strain behaviors; (2) dislocation (viscoplastic) thermal activation characterizations; (3) Hall-Petch type reciprocal square root of particle or grain size dependencies; and (4) indentation and conventional fracture mechanics results. Related behaviors of MgO and Al2O3 crystal and polycrystal materials are also described for the purpose of making comparisons.
Amtliche Mitteilungen der Universität Dortmund Nr. 05/85
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Dortmund
Year: 1985
Subjects: subject: 080

description: Änderung der Diplomprüfungsordnung für die Diplomprüfung in Elektrotechnik vom 1. April 1985
description: Änderung der Vorläufigen Diplomprüfungsordnung der Abteilung Bauwesen vom 1. April 1985
description: Vorläufige Diplomprüfungsordnung der Abteilung Informatik
description: Amtliche Mitteilungen der Universität Dortmund ; 5, 1985
Factors Affecting Diffusion of Cassava Root: The Case of Ofa Woreda, Wolaita Zone, Southern Ethiopia
Creators: name: Mena, Melese
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: The study was carried out in Ofa Woreda, Wolaita Zone with the main objective of assessing the factors affecting diffusion of Cassava root. Specifically, it was intended to assess the effect of upstream value chain, market information, infrastructure, extension service, credit service, and demographic factors on diffusion of cassava root in the study area. The study employed explanatory research design with mixed research approach of both qualitative and quantitative methods. Multistage sampling technique was used. The study was employed both primary and secondary sources of data and the data collected through questionnaire, key informant interview and focused group discussion. Data were cleared, coded, entered and analyzed using SPSS software version 21, while descriptive and inferential statistical techniques were employed. Descriptive statistics such as percentage, frequency, mean, and standared deviation were used to summarize the data collected through questionnaire. Furthermore, inferential statistics such as correlation and multiple Linear Regression analysis were used to identify determinants of honey market supply in the study area. In addition, the results of key informant and focus group discussion were used to triangulate the quantitative findings. The study found out that among different variables identified to determine the diffusion of cassava root, the regressions model analysis result revealed that total household size, upstream value chain, access to market information, access to infrastructure, access to extension service, and availability of credit service were the major factors that affect the quantity of cassava root supplied in the study area.. The study recommended that Zonal and Woreda cooperative office, Woreda agricultural office and Woreda administration office should organize cassava root producers in a cooperatives, provide modern technologies and follow cassava them for their proper usage. Micro-finance institutions should address the availability of credit for cassava root farmers. The government should also facilitate appropriate infrastructure for cassava root producers.
On quantum traversability of wormholes
Creators: name: Furtado, J.
name: Muniz, C. R.
name: Cunha, M. S.
name: Silva, J. E. G.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper we study the possibility of non-relativistic quantum particles to traverse the generalized Ellis-Bronnikov wormholes by considering quantum effects, such as tunneling. We have used the generalized Ellis-Bronnikov wormhole metric and found that for $n=2$ we have a single barrier shaped effective potential centered at the throat of the wormhole for any value of orbital angular momentum. For $n\neq2$ we have a symmetric double barrier shaped potential when the orbital angular momentum is zero and a single barrier for nonzero angular orbital momentum. Analytical solutions for the Schrödinger equation in the generalized Ellis-Bronnikov spacetime could be found only for $n=2$. Such solutions were given in terms of the confluent Heun functions. Finally, by using a delta-barrier approximation we could find the transmission and reflection coefficients for a non-relativistic particle to traverse the generalized Ellis-Bronnikov wormhole.
description: 5 pages, two columuns, 3 figures
Observational Evidence of Dynamic Star Formation Rate in Milky Way Giant Molecular Clouds
Creators: name: Lee, Eve J.
name: Miville-Deschenes, Marc-Antoine
name: Murray, Norman
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Star formation on galactic scales is known to be a slow process, but whether it is slow on smaller scales is uncertain. We cross-correlate 5469 giant molecular clouds (GMCs) from a new all-sky catalog with 256 star forming complexes (SFCs) to build a sample of 191 SFC-GMC complexes---collections of multiple clouds each matched to 191 SFCs. The total mass in stars harbored by these clouds is inferred from WMAP free-free fluxes. We measure the GMC mass, the virial parameter, the star formation efficiency $ε$ and the star formation rate per free-fall time $ε_{\rm ff}$. Both $ε$ and $ε_{\rm ff}$ range over 3--4 orders of magnitude. We find that 68.3% of the clouds fall within $σ_{\logε}=0.79\pm0.22\,{\rm dex}$ and $σ_{\logε_{\rm ff}}=0.91\pm0.22\,{\rm dex}$ about the median. Compared to these observed scatters, a simple model with a time independent $ε_{\rm ff}$ that depends on the host GMC properties predicts $σ_{\logε_{\rm ff}}=$0.12-0.24. Allowing for a time-variable $ε_{\rm ff}$, we can recover the large dispersion in the rate of star formation. This strongly suggests that star formation in the Milky Way is a dynamic process on GMC scales. We also show that the surface star formation rate profile of the Milky Way correlates well with the molecular gas surface density profile.
description: accepted to ApJ; we added a discussion of multi-freefall models of star formation
Covert operations : a phenomenology of food
Creators: name: Watson, Claire Anna.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Extensive increase of entropy in quantum quench
Creators: name: Mori, Takashi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In the setup of isolated quantum systems, it is proved that the thermodynamic entropy and the diagonal entropy must increase extensively in any nontrivial quantum quench. The extensive increase of the thermodynamic entropy is shown for any initial state (even for a pure state) that represents thermal equilibrium. On the other hand, the extensive increase of the diagonal entropy is shown for any stationary initial state under the condition that both the pre-quench and the post-quench Hamiltonians satisfy the eigenstate thermalization hypothesis.
description: 13 pages, invited paper for Special Issue of J. Phys. A "Emerging talents"
Amtliche Mitteilungen der Universität Dortmund Nr. 18/88
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Dortmund
Year: 1988
Subjects: subject: 080

description: Zweitfachvereinbarung über das Zweitfach Deutsche Sprache und Literatur im Diplomstudiengang Journalistik zwischen dem Institut für Journalistik des Fachbereichs Sprach- und Literaturwissenschaften, Journalistik und Geschichte und dem Fach Deutsch des Fachbereichs Sprach- und Literaturwissenschaften, Journalistik und Geschichte vom 5. 12. 1988
description: Amtliche Mitteilungen der Universität Dortmund ; 18, 1988
Stochastic Gradient Descent and Anomaly of Variance-flatness Relation in Artificial Neural Networks
Creators: name: Xiong, Xia
name: Chen, Yong-Cong
name: Shi, Chunxiao
name: Ao, Ping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Stochastic gradient descent (SGD), a widely used algorithm in deep-learning neural networks has attracted continuing studies for the theoretical principles behind its success. A recent work reports an anomaly (inverse) relation between the variance of neural weights and the landscape flatness of the loss function driven under SGD [Feng & Tu, PNAS 118, 0027 (2021)]. To investigate this seemingly violation of statistical physics principle, the properties of SGD near fixed points are analysed via a dynamic decomposition method. Our approach recovers the true "energy" function under which the universal Boltzmann distribution holds. It differs from the cost function in general and resolves the paradox raised by the the anomaly. The study bridges the gap between the classical statistical mechanics and the emerging discipline of artificial intelligence, with potential for better algorithms to the latter.
Some results on LCTR, an impartial game on partitions
Creators: name: Gottlieb, Eric
name: Ilić, Jelena
name: Krnc, Matjaž
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 91A46, 91A68, 05A17

description: We apply the Sprague-Grundy Theorem to LCTR, a new impartial game on partitions in which players take turns removing either the Left Column or the Top Row of the corresponding Young diagram. We establish that the Sprague-Grundy value of any partition is at most $2$, and determine Sprague-Grundy values for several infinite families of partitions. Finally, we devise a dynamic programming approach which, for a given partition $λ$ of $n$, determines the corresponding Sprague-Grundy value in $O(n)$ time.
Prescription drug promotion and prescribing behavior of physicians' in case of Addis Ababa green licensed private hospitals
Creators: name: G/egziabher, Samrawit
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2017

description: Pharmaceutical enterprises are using different promotional techniques in order to get Physicians' attention. On the other hand, the healthcare regulatory authorities and other stakeholders in the healthcare industry are also working harder to balance the effect of pharmaceutical companies on physicians' prescription behavior. In this condition, to win the hard competition pharmaceutical companies are using innovative marketing strategies and promotional techniques. Currently, to have an effect on physicians' prescription decision pharmaceutical companies are using different promotional techniques. The purpose of this study is to assess the current prescription drug promotional techniques and assess its effect on prescribing behavior of physicians. Accordingly, the thesis assesses very important research questions on drug promotion in relation with prescribing behavior. Methodology used was all physicians practicing in green licensed private hospitals were considered as a study unit. A set of self-administered semi-structured questionnaires were distribute to those physicians. The findings revealed that the different promotional techniques that pharmaceutical companies are using have an effect on the physicians' prescription decision. The level of effect depends on factors such as price and quality of the drug, specialty of the physician, and other factors related to the characteristics of physicians. The study also revealed that physicians have a positive perception about the information they have got from medical representatives. The study findings indicate that to be on the competitive edge, pharmaceutical companies need to understand the healthcare environment and the need of physicians. The study is Quantitative research using numerical analysis of data collected through questionnaire. This study recommends for pharmaceutical companies, the best promotional item to influence physicians prescribing behavior is free medical sample, whereas the promotional aid that influences the most is sponsorship to attend CMEs.
Modelle, komplexe Systeme und Möglichkeiten von Zeitreihenanalysen zur sportlichen Leistungsoptimierung - theoretische und empirische Untersuchungen
Creators: name: Schmidt, Harald
Publisher: name: Universität Dortmund
Year: 2005
Subjects: subject: dynamical systems
subject: Dynamische Systeme
subject: Sport
subject: sports
subject: time-series-analysis
subject: Zeitreihenanalyse
subject: 796

description: Die Trainingswissenschaft sieht eine ihrer vorrangigen Aufgaben darin, Gestaltungs-modelle zur Optimierung von Leistung, Training und Wettkampf zu entwickeln.Eine systematische Analyse des Forschungsstandes ergab, dass zu dieser Thema-tik in der sportwissenschaftlichen Literatur eine Vielzahl unterschiedlicher Betrach-tungsweisen und Handlungsanweisungen vorhanden sind. Die existierenden Modell-ansätze bilden jedoch die sportliche Leistung und ihre Bedingungen nur reduktio-nistisch ab. Die hohe Komplexität durch die Vernetzung der Teilprozesse sowie die rückgekoppelten Entscheidungs- und Wirkungsmechanismen kommen darin nicht umfassend zum Ausdruck.Die vorliegende Arbeit möchte einen Beitrag zur theoretischen Fundierung des kom-plexen Systems der sportlichen Leistung auf Beschreibungsebene leisten, gekoppelt mit einem Erkenntnisgewinn für die praktische Leistungssteuerung. Sie knüpft an eine allgemeine Theorie komplexer dynamischer Systeme an, verbunden mit einer Hinwendung von linearen zu nichtlinearen Modellvorstellungen. In diesem Kontext werden die bedeutendsten Ansätze unter besonderer Berücksichtigung der Synerge-tik vorgestellt und Gemeinsamkeiten, aber auch Unterschiede herausgearbeitet.Im empirischen Teil beinhaltet unser Forschungsansatz auf der Basis einer synerge-tischen Betrachtungsweise einzelfallbezogene Zeitreihenanalysen ausgewählter Sportarten, die den prozessualen Charakter der sportlichen Leistungsentwicklung durch die Analyse von Dynamiken in der subjektiven Selbsteinschätzung sowie von physiologischen Parametern thematisieren.Entsprechend der Grundhypothese der Selbstorganisation wurde entsprechend der Versklavungsannahme der Synergetik mittels Faktorenanalysen eine praktikable Komplexitätsreduktion der Systeme realisiert. Diese vereinfachten Systeme bilden die Grundlage für weitergehende Analysen zur Belastungsstruktur und zur Dynamik von Homöostaseverläufen auf Makro- und Mikroebene. Insbesondere galt unser Au-genmerk bei der Identifikation von Systemeigenschaften der Detektion von Regel-mäßigkeiten und Wirkungsgefügen. Abschließend wurde mit der Methode des Bootstrapping versucht, den Charakter der Dynamik (linear, Zufall, Chaos) der Sportlersysteme weiter einzugrenzen. Gleichzei-tig wurde mit dem selbstentwickelten Softwaresystem TISSY ein Instrument für die Hand des Trainers bzw. Athleten vorgestellt, das zeitreihenanalytische Prozessbe-trachtungen im Rahmen der Leistungssteuerung auf der Basis der erzielten Ergeb-nisse, aber auch darüber hinausgehend, ermöglicht.