892 resultados para Optimized allocation


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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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Al giorno d'oggi il reinforcement learning ha dimostrato di essere davvero molto efficace nel machine learning in svariati campi, come ad esempio i giochi, il riconoscimento vocale e molti altri. Perciò, abbiamo deciso di applicare il reinforcement learning ai problemi di allocazione, in quanto sono un campo di ricerca non ancora studiato con questa tecnica e perchè questi problemi racchiudono nella loro formulazione un vasto insieme di sotto-problemi con simili caratteristiche, per cui una soluzione per uno di essi si estende ad ognuno di questi sotto-problemi. In questo progetto abbiamo realizzato un applicativo chiamato Service Broker, il quale, attraverso il reinforcement learning, apprende come distribuire l'esecuzione di tasks su dei lavoratori asincroni e distribuiti. L'analogia è quella di un cloud data center, il quale possiede delle risorse interne - possibilmente distribuite nella server farm -, riceve dei tasks dai suoi clienti e li esegue su queste risorse. L'obiettivo dell'applicativo, e quindi del data center, è quello di allocare questi tasks in maniera da minimizzare il costo di esecuzione. Inoltre, al fine di testare gli agenti del reinforcement learning sviluppati è stato creato un environment, un simulatore, che permettesse di concentrarsi nello sviluppo dei componenti necessari agli agenti, invece che doversi anche occupare di eventuali aspetti implementativi necessari in un vero data center, come ad esempio la comunicazione con i vari nodi e i tempi di latenza di quest'ultima. I risultati ottenuti hanno dunque confermato la teoria studiata, riuscendo a ottenere prestazioni migliori di alcuni dei metodi classici per il task allocation.

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This dissertation focuses on how the design of the EU asylum allocation system, the system that allocates the EU’s asylum duties to its member states, relates to the development of asylum crises. The current EU asylum allocation system, the Dublin system, has in the literature frequently been blamed as an important factor that contributed to the events that occurred during the 2015/2016 EU Asylum Crisis. In the first part of this dissertation, I use a Law & Economics methodology based on rational choice theory to study how the Dublin system creates behavioural incentives for both asylum seekers and member states and how this relates to the events during the 2015/2016 EU Asylum Crisis. In the second part, I analyse how behavioural incentives for asylum seekers and member states would change if the EU would replace the Dublin system with a so-called (tradable) quota system. By comparing the outcomes of the first and the second part of the dissertation I make some normative recommendations on desirable features for an EU asylum allocation system that provides better incentives for asylum seekers and member states.

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Over the past years, ray tracing (RT) models popularity has been increasing. From the nineties, RT has been used for field prediction in environment such as indoor and urban environments. Nevertheless, with the advent of new technologies, the channel model has become decidedly more dynamic and to perform RT simulations at each discrete time instant become computationally expensive. In this thesis, a new dynamic ray tracing (DRT) approach is presented in which from a single ray tracing simulation at an initial time t0, through analytical formulas we are able to track the motion of the interaction points. The benefits that this approach bring are that Doppler frequencies and channel prediction can be derived at every time instant, without recurring to multiple RT runs and therefore shortening the computation time. DRT performance was studied on two case studies and the results shows the accuracy and the computational gain that derives from this approach. Another issue that has been addressed in this thesis is the licensed band exhaustion of some frequency bands. To deal with this problem, a novel unselfish spectrum leasing scheme in cognitive radio networks (CRNs) is proposed that offers an energy-efficient solution minimizing the environmental impact of the network. In addition, a network management architecture is introduced and resource allocation is proposed as a constrained sum energy efficiency maximization problem. System simulations demonstrate an increment in the energy efficiency of the primary users’ network compared with previously proposed algorithms.

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Currently making digital 3D models and replicas of the cultural heritage assets play an important role in the preservation and having a high detail source for future research and intervention. In this dissertation, it is tried to assess different methods for digital surveying and making 3D replicas of cultural heritage assets in different scales of size. The methodologies vary in devices, software, workflow, and the amount of skill that is required. The three phases of the 3D modelling process are data acquisition, modelling, and model presentation. Each of these sections is divided into sub-sections and there are several approaches, methods, devices, and software that may be employed, furthermore, the selection process should be based on the operation's goal, available facilities, the scale and properties of the object or structure to be modeled, as well as the operators' expertise and experience. The most key point to remember is that the 3D modelling operation should be properly accurate, precise, and reliable; therefore, there are so many instructions and pieces of advice on how to perform 3D modelling effectively. It is an attempt to compare and evaluate the various ways of each phase in order to explain and demonstrate their differences, benefits, and drawbacks in order to serve as a simple guide for new and/or inexperienced users.

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The present paper describes a novel, simple and reliable differential pulse voltammetric method for determining amitriptyline (AMT) in pharmaceutical formulations. It has been described for many authors that this antidepressant is electrochemically inactive at carbon electrodes. However, the procedure proposed herein consisted in electrochemically oxidizing AMT at an unmodified carbon nanotube paste electrode in the presence of 0.1 mol L(-1) sulfuric acid used as electrolyte. At such concentration, the acid facilitated the AMT electroxidation through one-electron transfer at 1.33 V vs. Ag/AgCl, as observed by the augmentation of peak current. Concerning optimized conditions (modulation time 5 ms, scan rate 90 mV s(-1), and pulse amplitude 120 mV) a linear calibration curve was constructed in the range of 0.0-30.0 μmol L(-1), with a correlation coefficient of 0.9991 and a limit of detection of 1.61 μmol L(-1). The procedure was successfully validated for intra- and inter-day precision and accuracy. Moreover, its feasibility was assessed through analysis of commercial pharmaceutical formulations and it has been compared to the UV-vis spectrophotometric method used as standard analytical technique recommended by the Brazilian Pharmacopoeia.

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Cryosurgery is an efficient therapeutic technique used to treat benign and malignant cutaneous diseases. The primary active mechanism of cryosurgery is related to vascular effects on treated tissue. After a cryosurgical procedure, exuberant granulation tissue is formed at the injection site, probably as a result of angiogenic stimulation of the cryogen and inflammatory response, particularly in endothelial cells. To evaluate the angiogenic effects of freezing, as part of the phenomenon of healing rat skin subjected to previous injury. Two incisions were made in each of the twenty rats, which were divided randomly into two groups of ten. After 3 days, cryosurgery with liquid nitrogen was performed in one of incisions. The rats' samples were then collected, cut and stained to conduct histopathological examination, to assess the local angiogenesis in differing moments and situations. It was possible to demonstrate that cryosurgery, in spite of promoting cell death and accentuated local inflammation soon after its application, induces quicker cell proliferation in the affected tissue and maintenance of this rate in a second phase, than in tissue healing without this procedure. These findings, together with the knowledge that there is a direct relationship between mononuclear cells and neovascularization (the development of a rich system of new vessels in injury caused by cold), suggest that cryosurgery possesses angiogenic stimulus, even though complete healing takes longer to occur. The significance level for statistical tests was 5% (p<0,05).

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Nutrient restriction during the early stages of life usually leads to alterations in glucose homeostasis, mainly insulin secretion and sensitivity, increasing the risk of metabolic disorders in adulthood. Despite growing evidence regarding the importance of insulin clearance during glucose homeostasis in health and disease, no information exists about this process in malnourished animals. Thus, in the present study, we aimed to determine the effect of a nutrient-restricted diet on insulin clearance using a model in which 30-d-old C57BL/6 mice were exposed to a protein-restricted diet for 14 weeks. After this period, we evaluated many metabolic variables and extracted pancreatic islet, liver, gastrocnemius muscle (GCK) and white adipose tissue samples from the control (normal-protein diet) and restricted (low-protein diet, LP) mice. Insulin concentrations were determined using RIA and protein expression and phosphorylation by Western blot analysis. The LP mice exhibited lower body weight, glycaemia, and insulinaemia, increased glucose tolerance and altered insulin dynamics after the glucose challenge. The improved glucose tolerance could partially be explained by an increase in insulin sensitivity through the phosphorylation of the insulin receptor/protein kinase B and AMP-activated protein kinase/acetyl-CoA carboxylase in the liver, whereas the changes in insulin dynamics could be attributed to reduced insulin secretion coupled with reduced insulin clearance and lower insulin-degrading enzyme (IDE) expression in the liver and GCK. In summary, protein-restricted mice not only produce and secrete less insulin, but also remove and degrade less insulin. This phenomenon has the double benefit of sparing insulin while prolonging and potentiating its effects, probably due to the lower expression of IDE in the liver, possibly with long-term consequences.