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Tuesday's match between Greece and the Czech Republic has huge implications poland greece betting preview goal both sides poland greece betting preview goal terms of their chances to advance to the knockout stages of the European Championship. Greece was able to come away with a draw in its opening match against Poland in Warsaw, despite playing the majority of the match a man down. Poland greece betting preview goal Polish side looked in control, and it seemed they would start the tournament off with a win, but substitute Dimitris Salpingidis found the back of the net in the 51st minute to tie the game at one. The Czech Republic was taken behind the woodshed by Russia in its first match, falling in embarrassing fashion They'll certainly need a better effort if they want to avoid being all but mathematically eliminated after their first two games. Sokratis Papastathopoulos is suspended for this one after being sent off against Poland on a controversial call, to say the least. Avraam Papadopoulos, another key defensive contributor for the Greeks, is out of the tournament with a knee injury.

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He said the firewas likely caused by a broken fuel or oil line. Excellent work, Nice Design can you order celexa online There were of course, exceptions. For example, they can readily reflect the workings of competitive energy and electricity markets, and cover such topics as external costs. The IAEA further offers training in the use of these models and -just as important- in the interpretation and critical evaluation of results. Training of national teams to develop national competence over the full spectrum of models , is a high priority.

The IAEA maintains a broad spectrum of databanks relevant to energy, economic and environmental analysis in MS, and make these data available to analysts in MS for use in their own analytical work. A simple dynamic energy capacity model. I develop a simple dynamic model showing how total energy capacity is allocated to two different uses and how these uses and their corresponding energy flows are related and behave through time.

The control variable of the model determines the allocation. All the variables of the model are in terms of a composite energy equivalent measured in BTU's. A key focus is on the shadow price of energy capacity and its behavior through time. Another key focus is on the behavior of the control variable that determines the allocation of overall energy capacity.

The matching or linking of the model 's variables to real world U. In spite of some limitations of the data, the model and its behavior fit the data fairly well. Some energy policy implications are discussed. Full Text Available This paper deals with determining the capacity supply for virtualized servers.

First, a server is modeled as a queue based on a Markov chain. Then, the effect of server virtualization on the capacity supply will be analyzed with the distribution function of the server load. Phonon model of perovskite thermal capacity. A model for calculating the temperature curve of thermal capacity of perovskite family crystals on the basis of vibrational spectra is proposed. The total frequency set is used in thermal capacity calcUlations.

Comparison of the thermal capacity values of compounds calculated on the basis of the proposed model with the experimental values shows their good agreement. The method is also recommended for other compounds with the perovskite-like structure. Capacity Expansion Modeling for Storage Technologies. The Resource Planning Model RPM is a capacity expansion model designed for regional power systems and high levels of renewable generation.

Recent extensions capture value-stacking for storage technologies, including batteries and concentrating solar power with storage. After estimating per-unit capacity value and curtailment reduction potential, RPM co-optimizes investment decisions and reduced-form dispatch, accounting for planning reserves; energy value, including arbitrage and curtailment reduction; and three types of operating reserves.

Multiple technology cost scenarios are analyzed to determine level of deployment in the Western Interconnection under various conditions. Full Text Available In the last decades, a remarkable number of models , variants from the Autoregressive Conditional Heteroscedastic family, have been developed and empirically tested, making extremely complex the process of choosing a particular model.

This research aim to compare the predictive capacity , using the Model Confidence Set procedure, than five conditional heteroskedasticity models , considering eight different statistical probability distributions. The financial series which were used refers to the log-return series of the Bovespa index and the Dow Jones Industrial Index in the period between 27 October and 30 December The empirical evidences showed that, in general, competing models have a great homogeneity to make predictions, either for a stock market of a developed country or for a stock market of a developing country.

An equivalent result can be inferred for the statistical probability distributions that were used. The divergent predictions of 2 models of dual-task performance are investigated. The central bottleneck and central capacity sharing models argue that a central stage of information processing is capacity limited, whereas stages before and after are capacity free. The models disagree about the nature of this central capacity limitation. Building groundwater modeling capacity in Mongolia.

Valder, Joshua F. Ulaanbaatar, the capital city of Mongolia fig. The population of Mongolia is about 3 million people, with about one-half the population residing in or near Ulaanbaatar World Population Review, Groundwater is drawn from a network of shallow wells in an alluvial aquifer along the Tuul River.

Evidence indicates that current water use may not be sustainable from existing water sources, especially when factoring the projected water demand from a rapidly growing urban population Ministry of Environment and Green Development, The purpose of the workshops was to bring together representatives from the Government of Mongolia, local universities, technical experts, and other key stakeholders to build in-country capacity in hydrogeology and groundwater modeling.

A preliminary steady-state groundwater-flow model was developed as part of the workshops to demonstrate groundwater modeling techniques to simulate groundwater conditions in alluvial deposits along the Tuul River in the vicinity of Ulaanbaatar. A key to success was. Sigrin, B. An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value.

While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity , are considered to be the most robust and widely-accepted techniques for addressing this resource variability. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels.

The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution.

Two results are relevant for other capacity -based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower.

Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity. The ecology and evolution of temperature-dependent reaction norms for sex determination in reptiles: a mechanistic conceptual model.

Sex-determining mechanisms are broadly categorised as being based on either genetic or environmental factors. Vertebrate sex determination exhibits remarkable diversity but displays distinct phylogenetic patterns. While all eutherian mammals possess XY male heterogamety and female heterogamety ZW is ubiquitous in birds, poikilothermic vertebrates fish, amphibians and reptiles exhibit multiple genetic sex-determination GSD systems as well as environmental sex determination ESD.

Temperature is the factor controlling ESD in reptiles and temperature-dependent sex determination TSD in reptiles has become a focal point in the study of this phenomenon. Current patterns of climate change may cause detrimental skews in the population sex ratios of reptiles exhibiting TSD. Understanding the patterns of variation, both within and among populations and linking such patterns with the selection processes they are associated with, is the central challenge of research aimed at predicting the capacity of populations to adapt to novel conditions.

Here we present a conceptual model that innovates by defining an individual reaction norm for sex determination as a range of incubation temperatures. By deconstructing individual reaction norms for TSD and revealing their underlying interacting elements, we offer a conceptual solution that explains how variation among individual reaction norms can be inferred from the pattern of population reaction norms.

The model also links environmental variation with the different patterns of TSD and describes the processes from which they may arise. Specific climate scenarios are singled out as eco-evolutionary traps that may lead to demographic extinction or a transition to either male or female heterogametic GSD. We describe how the conceptual principles can be applied to interpret TSD data and to explain the adaptive capacity of TSD to climate change as well as its limits and the potential applications for conservation and management.

The ability to manage financial affairs is a life skill of critical importance, and neuropsychologists are increasingly asked to assess financial capacity across a variety of settings. Sound clinical assessment of financial capacity requires knowledge and appreciation of applicable clinical conceptual models and principles.

However, the literature has presented relatively little conceptual guidance for clinicians concerning financial capacity and its assessment. This article seeks to address this gap. The article presents six clinical models of financial capacity : 1 the early gerontological IADL model of Lawton, 2 the clinical skills model and 3 related cognitive psychological model developed by Marson and colleagues, 4 a financial decision-making model adapting earlier decisional capacity work of Appelbaum and Grisso, 5 a person-centered model of financial decision-making developed by Lichtenberg and colleagues, and 6 a recent model of financial capacity in the real world developed through the Institute of Medicine.

Accompanying presentation of the models is discussion of conceptual and practical perspectives they represent for clinician assessment. Based on the models , the article concludes by presenting a series of conceptually oriented guidelines for clinical assessment of financial capacity. In summary, sound assessment of financial capacity requires knowledge and appreciation of clinical conceptual models and principles.

Awareness of such models , principles and guidelines will strengthen and advance clinical assessment of financial capacity. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals. Airport capacity is presented as a Pareto frontier of arrivals per hour versus departures per hour. The ASAC Airport Delay Model allows the user to estimate the minutes of arrival delay for an airport, given its weather dependent capacity.

Historical weather observations and demand patterns are provided by ASAC as inputs to the delay model. The ASAC economic models can translate a reduction in delay minutes into benefit dollars. Assessing testamentary and decision-making capacity : Approaches and models.

The need for better and more accurate assessments of testamentary and decision-making capacity grows as Australian society ages and incidences of mentally disabling conditions increase. Capacity is a legal determination, but one on which medical opinion is increasingly being sought.

The difficulties inherent within capacity assessments are exacerbated by the ad hoc approaches adopted by legal and medical professionals based on individual knowledge and skill, as well as the numerous assessment paradigms that exist. This can negatively affect the quality of assessments, and results in confusion as to the best way to assess capacity.

This article begins by assessing the nature of capacity. The most common general assessment models used in Australia are then discussed, as are the practical challenges associated with capacity assessment. The article concludes by suggesting a way forward to satisfactorily assess legal capacity given the significant ramifications of getting it wrong.

The setting of our empirical study is subsidiaries of multinational enterprises and the focus is on the capacity of these subsidiaries to successfully absorb best practices in marketing strategy from their headquarters. This setting allows us Capacity allocation in wireless communication networks - models and analyses.

In the introduc- tory chapter, a reference model has been proposed for the extensive suite of capacity allocation mechanisms that can be applied at. Light dependence of carboxylation capacity for C3 photosynthesis models. Photosynthesis at high light is often modelled by assuming limitation by the maximum capacity of Rubisco carboxylation at low carbon dioxide concentrations, by electron transport capacity at higher concentrations, and sometimes by triose-phosphate utilization rate at the highest concentrations.

The documentation of ductility can be a difficult task as modelling of rotational capacity in plastic hinges of frames is not fully developed. On the basis of the Theory of Plasticity a model is developed to determine rotational capacity in plastic hinges in linear The Capacity Design Method forms the basis of several seismic design codes. This design philosophy allows plastic deformations in order to decrease seismic demands in structures.

However, these plastic deformations must be localized in certain zones where ductility requirements can be documented The model is taking several important parameters into account. Empirical values is avoided which is considered an advantage compared to previous models.

Furthermore, the model includes force variations in the reinforcement due to moment distributions and shear as well The natural history of sheep TSD was characterized using serial neurological evaluations, 7 Tesla magnetic resonance imaging, echocardiograms, electrodiagnostics, and cerebrospinal fluid biomarkers. Microglial activation and proliferation in TSD sheep-most prominent in the cerebrum-were attenuated after gene therapy.

This report demonstrates therapeutic efficacy for TSD in the sheep brain, which is on the same order of magnitude as a child's brain. The modification was achieved by reinforcing the loaded face sheet The fracture process was inspected visually during and after testing. For specimens with H45 core the crack propagated in the core. For specimens with an H core, the crack propagated between the resin-rich layer and the face sheet.

The fracture toughness exhibited mode-mixity phase angle dependence, especially for mode II dominated loadings; although, the fracture toughness remained quite constant for mode I dominated crack loadings Capacity expansion model of wind power generation based on ELCC. Capacity expansion is an indispensable prerequisite for power system planning and construction. A reasonable, efficient and accurate capacity expansion model CEM is crucial to power system planning.

In most current CEMs, the capacity of wind power generation is considered as boundary conditions instead of decision variables, which may lead to curtailment or over construction of flexible resource, especially at a high renewable energy penetration scenario. This paper proposed a wind power generation capacity value CV calculation method based on effective load-carrying capability, and a CEM that co-optimizes wind power generation and conventional power sources.

Wind power generation is considered as decision variable in this model , and the model can accurately reflect the uncertainty nature of wind power. Full Text Available We consider a newsvendor modeled product system, where the firm provides products to the market. The supply capacity of the product is random, so the firm receives either the amount of order quantity or the realized capacity , whichever is smaller.

The market price is capacity dependent. We consider two types of production cost structures: the procurement case and the in-house production case. The firm pays for the received quantity in the former case and for the ordered quantity in the latter case. We obtain the optimal order quantities for both cases. Comparing with the traditional newsvendor model , we find that the optimal order quantity in both the procurement case and the in-house production case are no greater than that in the traditional newsvendor model with a fixed selling price.

We also find that the optimal order quantity for the procurement case is greater than that for the in-house production case. In Krotov et al. In their version they consider a polynomial interaction function and claim that this increases the storage capacity of the model. We prove this claim and take the "limit" as the degree of the polynomial becomes infinite, i. With this interaction we prove that model has an exponential storage capacity in the number of neurons, yet the basins of attraction are almost as large as in the standard Hopfield model.

The impact of drilling, oil and gas price assumptions, and demand on gas productive capacity are examined. Both gas-well gas and oil-well gas are included. Oil-well gas productive capacity is estimated separately and then combined with the gas-well gas productive capacity. This documentation report provides a general overview of the GASCAP Model , describes the underlying data base, provides technical descriptions of the component models , diagrams the system and subsystem flow, describes the equations, and provides definitions and sources of all variables used in the system.

This documentation report is provided to enable users of EIA projections generated by GASCAP to understand the underlying procedures used and to replicate the models and solutions. This report should be of particular interest to those in the Congress, Federal and State agencies, industry, and the academic community, who are concerned with the future availability of natural gas.

Capacity expansion models CEMs are widely used to evaluate the least-cost portfolio of electricity generators, transmission, and storage needed to reliably serve demand over the evolution of many years or decades. Various CEM formulations are used to evaluate systems ranging in scale from states or utility service territories to national or multi-national systems.

CEMs can be computationally complex, and to achieve acceptable solve times, key parameters are often estimated using simplified methods. In this paper, we focus on two of these key parameters associated with the integration of variable generation VG resources: capacity value and curtailment.

We first discuss common modeling simplifications used in CEMs to estimate capacity value and curtailment, many of which are based on a representative subset of hours that can miss important tail events or which require assumptions about the load and resource distributions that may not match actual distributions. We then present an alternate approach that captures key elements of chronological operation over all hours of the year without the computationally intensive economic dispatch optimization typically employed within more detailed operational models.

The updated methodology characterizes the 1 contribution of VG to system capacity during high load and net load hours, 2 the curtailment level of VG, and 3 the potential reductions in curtailments enabled through deployment of storage and more flexible operation of select thermal generators. Results demonstrate that this alternate approach provides more accurate estimates of capacity value and curtailments by explicitly capturing system interactions across all hours of the year.

This approach could be applied more broadly to CEMs at many different scales where hourly resource and load data is available, greatly improving the representation of challenges. Memory is essential to many cognitive tasks including language. Apart from empirical studies of memory effects on language acquisition and use, there lack sufficient evolutionary explorations on whether a high level of memory capacity is prerequisite for language and whether language origin could influence memory capacity.

In line with evolutionary theories that natural selection refined language-related cognitive abilities, we advocated a coevolution scenario between language and memory capacity , which incorporated the genetic transmission of individual memory capacity , cultural transmission of idiolects, and natural and cultural selections on individual reproduction and language teaching. To illustrate the coevolution dynamics, we adopted a multi-agent computational model simulating the emergence of lexical items and simple syntax through iterated communications.

Simulations showed that: along with the origin of a communal language, an initially-low memory capacity for acquired linguistic knowledge was boosted; and such coherent increase in linguistic understandability and memory capacities reflected a language-memory coevolution; and such coevolution stopped till memory capacities became sufficient for language communications. Statistical analyses revealed that the coevolution was realized mainly by natural selection based on individual communicative success in cultural transmissions.

This work elaborated the biology-culture parallelism of language evolution, demonstrated the driving force of culturally-constituted factors for natural selection of individual cognitive abilities, and suggested that the degree difference in language-related cognitive abilities between humans and nonhuman animals could result from a coevolution with language.

Longitudinal modeling to predict vital capacity in amyotrophic lateral sclerosis. Death in amyotrophic lateral sclerosis ALS patients is related to respiratory failure, which is assessed in clinical settings by measuring vital capacity. The model was used to compare FVC predictions with a day run-in period to predictions made from just baseline. The internal root mean square deviations RMSD of the run-in and baseline models were 0.

The RMSDs of the run-in and baseline models using an unrelated, contemporary external validation dataset 0. The most important features for both run-in and baseline models were "Baseline forced vital capacity " and "Days since baseline. The ALS-VC model could be helpful in advising and counseling patients, and, in clinical trials, it could be used to generate virtual control arms against which observed outcomes could be compared, or used to stratify patients into slowly, average, and rapidly progressing subgroups.

Capacity expansion models CEMs are widely used to evaluate the least-cost portfolio of electricity generators, transmission, and storage needed to reliably serve load over many years or decades. CEMs can be computationally complex and are often forced to estimate key parameters using simplified methods to achieve acceptable solve times or for other reasons.

In this paper, we discuss one of these parameters -- capacity value CV. We first provide a high-level motivation for and overview of CV. We next describe existing modeling simplifications and an alternate approach for estimating CV that utilizes hourly '' data of load and VG resources.

While this alternative approach for CV is not itself novel, it contributes to the broader CEM community by 1 demonstrating how a simplified hourly method, which can be easily implemented in other power sector models when data is available, more accurately captures CV trends than a statistical method within the ReEDS CEM, and 2 providing a flexible modeling framework from which other based system elements e. Developing models for patient flow and daily surge capacity research. Between and , visits to U.

At the same time, the number of U. EDs decreased by more than , and almost , inpatient hospital beds were taken out of service. In this context, the adequacy of daily surge capacity within the system is clearly an important issue. However, the research agenda on surge capacity thus far has focused primarily on large-scale disasters, such as pandemic influenza or a serious bioterrorism event.

The concept of daily surge capacity and its relationship to the broader research agenda on patient flow is a relatively new area of investigation. In this article, the authors begin by describing the overlap between the research agendas on daily surge capacity and patient flow. Next, they propose two models that have potential applications for both daily surge capacity and hospitalwide patient-flow research.

Finally, they identify potential research questions that are based on applications of the proposed research models. The logistic model -generated carrying capacities for wild herbivores Under this formulation, both carrying capacity and exchange ratios are endogenously determined Kinyua and Njoka, , making it possible to empirically estimate the population growth models for Grant's gazelle, Thompson's gazelle and Zebra.

Unpacking prevention capacity : an intersection of research-to-practice models and community-centered models. Capacity is a complex construct that lacks definitional clarity. Little has been done to define capacity , explicate components of capacity , or explore the development of capacity in prevention. This article represents an attempt to operationalize capacity and distinguish among types and levels of capacity as they relate to dissemination and implementation through the use of a taxonomy of capacity.

The development of the taxonomy was informed by the capacity literature from two divergent models in the field: research-to-practice RTP models and community-centered CC models. While these models differ in perspective and focus, both emphasize the importance of capacity to the dissemination and sustainability of prevention innovations.

Based on the review of the literature, the taxonomy differentiates the concepts of capacity among two dimensions: level individual, organizational, and community levels and type general capacity and innovation-specific capacity. The proposed taxonomy can aid in understanding the concept of capacity and developing methods to support the implementation and sustainability of prevention efforts in novel settings.

MIMO capacity for deterministic channel models : sublinear growth. In the current paper, we apply those results in order to study the Shannon-Foschini capacity behavior of a MIMO system as a function of the deterministic spread function of the environment and the number of transmitting and receiving antennas. The antennas are assumed to fill in a given fixed volume.

These results reinforce previous heuristic results obtained from statistical models of the transfer matrix, which also predict a sublinear behavior Generalized formulations for dynamic capacity and life of ball bearings, based on the models introduced by Lundberg and Palmgren and Zaretsky, have been developed and implemented in the bearing dynamics computer code, ADORE.

Unlike the original Lundberg-Palmgren dynamic capacity equation, where the elastic properties are part of the life constant, the generalized formulations permit variation of elastic properties of the interacting materials. The newly updated Lundberg-Palmgren model allows prediction of life as a function of elastic properties. For elastic properties similar to those of AISI bearing steel, both the original and updated Lundberg-Palmgren models provide identical results.

A comparison between the Lundberg-Palmgren and the Zaretsky models shows that at relatively light loads the Zaretsky model predicts a much higher life than the Lundberg-Palmgren model. As the load increases, the Zaretsky model provides a much faster drop off in life. This is because the Zaretsky model is much more sensitive to load than the Lundberg-Palmgren model.

The generalized implementation where all model parameters can be varied provides an effective tool for future model validation and enhancement in bearing life prediction capabilities. Modelling of auctioning mechanism for solar photovoltaic capacity. In this work, a modified optimisation model for the integration of renewable energy sources for power-generation RES-E technologies in power-generation systems on a unit commitment basis is developed.

The purpose of the modified optimisation procedure is to account for RES-E capacity auctions for different solar photovoltaic PV capacity electricity prices. The optimisation model developed uses a genetic algorithm GA technique for the calculation of the required RES-E levy or green tax in the electricity bills.

Also, the procedure enables the estimation of the level of the adequate or eligible feed-in-tariff to be offered to future RES-E systems, which do not participate in the capacity auctioning procedure. In order to demonstrate the applicability of the optimisation procedure developed the case of PV capacity auctioning for commercial systems is examined.

The results indicated that the required green tax, in order to promote the use of RES-E technologies, which is charged to the electricity customers through their electricity bills, is reduced with the reduction in the final auctioning price. This has a significant effect related to the reduction of electricity bills.

Modeling the capacity of riverscapes to support beaver dams. Macfarlane, William W. The construction of beaver dams facilitates a suite of hydrologic, hydraulic, geomorphic, and ecological feedbacks that increase stream complexity and channel-floodplain connectivity that benefit aquatic and terrestrial biota. Depending on where beaver build dams within a drainage network, they impact lateral and longitudinal connectivity by introducing roughness elements that fundamentally change the timing, delivery, and storage of water, sediment, nutrients, and organic matter.

While the local effects of beaver dams on streams are well understood, broader coverage network models that predict where beaver dams can be built and highlight their impacts on connectivity across diverse drainage networks are lacking. Here we present a capacity model to assess the limits of riverscapes to support dam-building activities by beaver across physiographically diverse landscapes. We estimated dam capacity with freely and nationally-available inputs to evaluate seven lines of evidence: 1 reliable water source, 2 riparian vegetation conducive to foraging and dam building, 3 vegetation within m of edge of stream to support expansion of dam complexes and maintain large colonies, 4 likelihood that channel-spanning dams could be built during low flows, 5 the likelihood that a beaver dam is likely to withstand typical floods, 6 a suitable stream gradient that is neither too low to limit dam density nor too high to preclude the building or persistence of dams, and 7 a suitable river that is not too large to restrict dam building or persistence.

Fuzzy inference systems were used to combine these controlling factors in a framework that explicitly also accounts for model uncertainty. The model was run for 40, km of streams in Utah, USA, and portions of surrounding states, predicting an overall network capacity of , dams at an average capacity of 8. We validated model performance using observed dams across km of streams.

The model showed. On the Einstein-Stern model of rotational heat capacities. The Einstein-Stern model for the rotational contribution to the heat capacity of a diatomic gas has recently been resuscitated. In this communication, we show that the apparent success of the model is illusory, because it is based on what has turned out to be an unfortunate comparison with experi We also take exception to the possibility of assigning any meaning to the rotational zero-point energy introduced by the model.

C American Institute of Physics. An age-structured extension to the vectorial capacity model. Full Text Available Vectorial capacity and the basic reproductive number R 0 have been instrumental in structuring thinking about vector-borne pathogen transmission and how best to prevent the diseases they cause. One of the more important simplifying assumptions of these models is age-independent vector mortality.

A growing body of evidence indicates that insect vectors exhibit age-dependent mortality, which can have strong and varied affects on pathogen transmission dynamics and strategies for disease prevention. Based on survival analysis we derived new equations for vectorial capacity and R 0 that are valid for any pattern of age-dependent or age-independent vector mortality and explore the behavior of the models across various mortality patterns. The framework we present 1 lays the groundwork for an extension and refinement of the vectorial capacity paradigm by introducing an age-structured extension to the model , 2 encourages further research on the actuarial dynamics of vectors in particular and the relationship of vector mortality to pathogen transmission in general, and 3 provides a detailed quantitative basis for understanding the relative impact of reductions in vector longevity compared to other vector-borne disease prevention strategies.

Accounting for age-dependent vector mortality in estimates of vectorial capacity and R 0 was most important when 1 vector densities are relatively low and the pattern of mortality can determine whether pathogen transmission will persist; i. A limiting factor in the construction and evaluation of new age-dependent mortality models is the paucity of data characterizing vector mortality.

Novoseltsev, Vasiliy N. Background Vectorial capacity and the basic reproductive number R0 have been instrumental in structuring thinking about vector-borne pathogen transmission and how best to prevent the diseases they cause. A limiting factor in the construction and evaluation of new age-dependent mortality models is the. Full Text Available Aim for this research are to analyze capacity cost which incure from company production machines and human resources whose operate the production machine using CAM-I capacity model.

This research initiated at PT X which focus to production activity that used small mixer machine, extruder machine, oven drying machine, enrober machine, pan coting machine which consist of hot and cold pan coating machine, and packing machine which consist of vertical packing machine and horizontal packing machine as well as human resources that operates those machine.

This research focus on rate capacity , productive capacity , idle capacity , and nonproductive capacity to measure capacity cost. Result of this research shows most of the capacity owned by either by production machine or human resources are not utilized to its maximum potential. There are need to reduce capacity cost owned by production machine and human resoures to increase the product sales but if its unachieveable there will be need to increase efficiency from production machine and human resources by reducing their quantityDOI: Hospital is a very important institution to provide health care for people.

However, due to the rising cost of healthcare services, hospitals need to consider efficiencies in order to overcome these two problems. This paper deals with an integrated strategy of staff capacity management and bed allocation planning to tackle these problems. Mathematically, the strategy can be modeled as an integer linear programming problem. We solve the model using a direct neighborhood search approach, based on the notion of superbasic variables.

A new method of determining antioxidant capacity based on a mathematical model is presented in this paper. The model was tested on the basis of 80 EPR spectroscopy measurements of herbs, tea, coffee, and juice samples. Therefore, the proposed new method of TEAC determination based on a mathematical model is a good alternative to the standard EPR method due to its being fast, accurate, inexpensive, and simple to perform. Traceable components of terrestrial carbon storage capacity in biogeochemical models.

Biogeochemical models have been developed to account for more and more processes, making their complex structures difficult to be understood and evaluated. Here, we introduce a framework to decompose a complex land model into traceable components based on mutually independent properties of modeled biogeochemical processes. We applied the framework to the Australian Community Atmosphere Biosphere Land Exchange CABLE model to help understand differences in modeled carbon processes among biomes and as influenced by nitrogen processes.

With the climate forcings of , modeled evergreen broadleaf forest had the highest NPP among the nine biomes and moderate residence times, leading to a relatively high carbon storage capacity Deciduous needle leaf forest had the longest residence time Our framework can be used to facilitate data model comparisons and model intercomparisons via tracking a few traceable components for all terrestrial carbon.

Improving Power System Modeling. Capacity expansion models CEM provide a high-level long-term view at the prospects of the evolving power system. In simulating the possibilities of long-term capacity expansion, it is important to maintain the viability of power system operation in the short-term daily, hourly and sub-hourly scales.

Production-cost models PCM simulate routine power system operation on these shorter time scales using detailed load, transmission and generation fleet data by minimizing production costs and following reliability requirements. When based on CEM 'predictions' about generating unit retirements and buildup, PCM provide more detailed simulation for the short-term system operation and, consequently, may confirm the validity of capacity expansion predictions.

Further, production cost model simulations of a system that is based on capacity expansion model solution are 'evolutionary' sound: the generator mix is the result of logical sequence of unit retirement and buildup resulting from policy and incentives. The Linking Tool is built to onset capacity expansion model prescriptions onto production cost model inputs. Exploring harmonization between integrated assessment and capacity expansion models.

Forward-looking quantitative models of the electric sector are extensively used to provide science-based strategic decision support to national, international and private-sector entities. Given that these models are used to inform a wide-range of stakeholders and influence policy decisions, it is vital to examine how the models ' underlying data and structure influence their outcomes.

We conduct several experiments harmonizing key model characteristics between ReEDS—an electric sector only model , and GCAM—an integrated assessment model—to understand how different degrees of harmonization impact model outcomes. ReEDS has high spatial, temporal, and process detail but lacks electricity demand elasticity and endogenous representations of other economic sectors, while GCAM has internally consistent representations of energy including the electric sector , agriculture, and land-use systems but relatively aggregate representations of the factors influencing electric sector investments.

We vary the degree of harmonization in electricity demand, fuel prices, technology costs and performance, and variable renewable energy resource characteristics. We then identify the prominent sources of divergence in key outputs electricity capacity , generation, and price across the models and study how the convergence between models can be improved with permutations of harmonized characteristics. The remaining inconsistencies help to establish how differences in the models ' underlying data, construction, perspective, and methodology play into each model 's outcome.

There are three broad contributions of this work. First, our study provides a framework to link models with similar scope but different resolutions. Second, our work provides insight into how the harmonization of assumptions contributes to a unified and robust portrayal of the US electricity sector under various potential futures.

Finally, our study enhances the understanding of the influence of structural uncertainty. The storage capacity of Potts models for semantic memory retrieval. We introduce and analyse a minimal network model of semantic memory in the human brain. The model is a global associative memory structured as a collection of N local modules, each coding a feature, which can take S possible values, with a global sparseness a the average fraction of features describing a concept. System cost model user's manual, version 1.

Department of Energy DOE. The model can be used to evaluate total complex costs based on various configuration options or to evaluate site-specific options. The site-specific cost estimates are based on generic assumptions such as waste loads and densities, treatment processing schemes, existing facilities capacities and functions, storage and disposal requirements, schedules, and cost factors.

The SCM allows customization of the data for detailed site-specific estimates. There are approximately forty TSD module designs that have been further customized to account for design differences for nonalpha, alpha, remote-handled, and transuranic wastes. The SCM generates cost profiles based on the model default parameters or customized user-defined input and also generates costs for transporting waste from generators to TSD sites. Earlier studies on the traffic flow on freeways reveal that queue discharge rate cannot reach as high as the free-flow capacity.

This analysis provides a description of the first U. The Regional Energy Deployment System ReEDS model was modified to incorporate water resource availability constraints and costs in each of its Balancing Area BA regions along with differences in costs and efficiencies of cooling systems. Water resource availability and cost data are from recently completed research at Sandia National Laboratories Tidwell et al.

This analysis provides insight into where water resource constraints could affect the choice, configuration, or location of new electricity technologies. This paper addresses various models that can be used to assess indicators of innovation and technical capacity. It stresses the importance of looking at the national system of innovation NSI to gain a complete understanding of industry capacity.

Model error assessment of burst capacity models for energy pipelines containing surface cracks. A total of full-scale burst test data for cracked pipes subjected internal pressure only were collected from the literature. The model error for a given burst capacity model is evaluated based on the ratios of the test to predicted burst pressures for the collected data.

The results will facilitate the development of reliability-based structural integrity management of pipelines. This study describes the development and validation of the Evaluation Capacity Assessment Instrument ECAI , a measure designed to assess evaluation capacity among staff of nonprofit organizations that is based on a synthesis model of evaluation capacity.

One hundred and sixty-nine staff of nonprofit organizations completed the ECAI. The item…. Prediction of bird-day carrying capacity on a staging site: a test of depletion models. The carrying capacity of a site for migratory water birds, expressed in bird-days, can be of particular conservation value. Several attempts have been made to model this carrying capacity using ideal free distribution models such as, for instance, depletion models , in which the distribution is.

Robustness indicators and capacity models for railway networks. In a world continuous striving for higher mobility and the use of more sustainable modes of transport, there is a constant pressure on utilising railway capacity better and, at the same time, obtaining a high robustness against delays. During the planning of railway operations and infrastructure This has motivated the research conducted and described in this thesis, where the objective has been to develop and improve existing methods to achieve timetable and infrastructure plans with robust capacity utilisation aimed at the strategic and early tactical planning phases This paper reports on a trial of a new model of clinical education designed to increase student clinical placement availability and address workforce constraints on supervision.

To keep the freeway networks in a good condition, road works such as maintenance and reconstruction are carried out regularly. The resulting work zones including the related traffic management measures, give different traffic capacities of the infrastructures, which determines the travel time for.

Model study on steady heat capacity in driven stochastic systems. The sheer display of reprehensible propensity on the part of public hospitals, abattoirs, breweries and city dwellers at large to discharge untreated waste, debris, scum and, in particular, municipal and industrial effluents into Ikpoba River has morphed into a situation whereby the assimilative capacity of the river has reached Full charge capacity FCC refers to the amount of energy a battery can hold.

We investigate the behavior of smartphone batteries while charging and demonstrate that the battery voltage and charging rate information can together characterize the FCC of a battery. We propose a new method for accurately estimating FCC without exposing low-level system details or introducing new Full Text Available Capacity is an important design parameter for roundabouts, and it is the premise of computing their delay and queue.

Roundabout capacity has been studied for decades, and empirical regression model and gap-acceptance model are the two main methods to predict it. Based on gap-acceptance theory, by considering the effect of limited priority, especially the relationship between limited priority factor and critical gap, a modified model was built to predict the roundabout capacity.

Finally, the predicted capacities from different models were compared, with the observed capacity by field surveys, which verifies the performance of the proposed model. An alternative projection model of future nuclear capacity. There is generally a high degree of uncertainty involved in the projection of growth of any energy source, especially when the projection extends 50 years ahead.

It is obvious that rapidly changing conditions have affected overall worldwide energy and economic growth and the field of nuclear power has been subject to changes specific to itself. These have caused past projections to become obsolete and therefore it would seem necessary to implement a new projection method to improve the accuracy of present forecasting.

Prediction of lithium-ion battery capacity with metabolic grey model. Given the popularity of Lithium-ion batteries in EVs electric vehicles , predicting the capacity quickly and accurately throughout a battery's full life-time is still a challenging issue for ensuring the reliability of EVs.

This paper proposes an approach in predicting the varied capacity with discharge cycles based on metabolic grey theory and consider issues from two perspectives: 1 three metabolic grey models will be presented, including MGM metabolic grey model , MREGM metabolic Residual-error grey model , and MMREGM metabolic Markov-residual-error grey model ; 2 the universality of these models will be explored under different conditions such as various discharge rates and temperatures.

Furthermore, the research findings in this paper demonstrate the excellent performance of the prediction depending on the three models ; however, the precision of the MREGM model is inferior compared to the others. Therefore, we have obtained the conclusion in which the MGM model and the MMREGM model have excellent performances in predicting the capacity under a variety of load conditions, even using few data points for modeling.

Also, the universality of the metabolic grey prediction theory is verified by predicting the capacity of batteries under different discharge rates and different temperatures. Management model of productive capacity : integrating theory of constraints and the global operational efficiency index IROG. The main objective of this study is to discuss and propose a model of management capacity , able to answer the following key questions: i capacity indicators which should be considered and how to measure them to measure the productive capacity of manufacturing systems?

The discussion of the proposed model is relevant because the definition of productive capacity system enables better management of resources and capabilities, improve production scheduling on the factory floor and meeting the demands imposed by the market. This paper presents the proposition of using the Operating Income Index Global IROG with a different approach from traditional literature dealing with the theme, presented by Nakajima The results of this paper enable to develop a model to determine the capacity of the production system and the impact on the productive capacity of the entire system, not to consider the quality conformances that occur after the bottleneck resource of the production flow.

Evaluation model for safety capacity of chemical industrial park based on acceptable regional risk. For the purpose of exploring the evaluation model for the SCCIP, a method based on quantitative risk assessment was adopted for evaluating transport risk and to confirm reasonable safety transport capacity of chemical industrial park, and then by combining with the safety storage capacity , a SCCIP evaluation model was put forward.

The SCCIP was decided by the smaller one between the largest safety storage capacity and the maximum safety transport capacity , or else, the regional risk of the park will exceed the acceptable level. The developed method was applied to a chemical industrial park in Guangdong province to obtain the maximum safety transport capacity and the SCCIP.

The results can be realized in the regional risk control of the park effectively. Full Text Available The model error N has been introduced to denote the discrepancy between measured and predicted capacity of pile foundation. This model error is recognized as epistemic uncertainty in pile capacity prediction. The statistics of N have been evaluated based on data gathered from various sites and may be considered only as a eneral-error trend in capacity prediction, providing crude estimates of the model error in the absence of more specific data from the site.

The results of even a single load test to failure, should provide direct evidence of the pile capacity at a given site. Bayes theorem has been used as a rational basis for combining new data with previous data to revise assessment of uncertainty and reliability. This study is devoted to the development of procedures for updating model error N, and subsequently the predicted pile capacity with a results of single failure test. Full Text Available Nanofluids are being considered for heat transfer applications; therefore it is important to know their thermophysical properties accurately.

In this paper we focused on nanofluid specific heat capacity.

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