Gain a foundational understanding of respiratory physiology and how the respiratory system functions in health and disease. This textbook explains the fundamentals of this complex subject in a clear ...and concise manner, while helping you bridge the gap between normal function and disease with pathophysiology content throughout the book.
Responding to the expansion of scientific knowledge about the roles of nutrients in human health, the Institute of Medicine has developed a new approach to establish Recommended Dietary Allowances ...(RDAs) and other nutrient reference values. The new title for these values Dietary Reference Intakes (DRIs), is the inclusive name being given to this new approach. These are quantitative estimates of nutrient intakes applicable to healthy individuals in the United States and Canada. This new book is part of a series of books presenting dietary reference values for the intakes of nutrients. It establishes recommendations for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. This book presents new approaches and findings which include the following:
The establishment of Estimated Energy Requirements at four levels of energy expenditure
Recommendations for levels of physical activity to decrease risk of chronic disease
The establishment of RDAs for dietary carbohydrate and protein
The development of the definitions of Dietary Fiber, Functional Fiber, and Total Fiber
The establishment of Adequate Intakes (AI) for Total Fiber
The establishment of AIs for linolenic and a-linolenic acids
Acceptable Macronutrient Distribution Ranges as a percent of energy intake for fat, carbohydrate, linolenic and a-linolenic acids, and protein
Research recommendations for information needed to advance understanding of macronutrient requirements and the adverse effects associated with intake of higher amounts
Also detailed are recommendations for both physical activity and energy expenditure to maintain health and decrease the risk of disease.
Ways of Seeing Jacob, Pierre; Jeannerod, Marc
10/2003
eBook
This book is about human vision. It results from the collaboration between a world famous cognitive neuroscientist and an eminent philosopher. In the past forty years, cognitive neuroscience has made ...many startling discoveries about the human brain and about the human visual system in particular. This book brings many recent empirical findings, from electrophysiological recordings in animals, the neuropsychological examination of human patients, psychophysics, and developmental cognitive psychology, to bear on questions traditionally addressed by philosophers. What is the meaning of the English verb ‘to see’? How does visual perception yield knowledge of the world? How does visual perception relate to thought? What is the role of conscious visual experience in visually guided actions? How does seeing actions relate to seeing objects? In the process the book provides a new assessment of the ‘two visual systems’ hypothesis, according to which the human visual system comprises two anatomical pathways with separable visual functions.
So far, approaches for business process modeling, enactment and monitoring have mainly been based on process specifications consisting of a single process model. This setting aptly captures ...monolithic scenarios from domains in which all possible behaviors can be folded into a single model. However, the same strategy cannot be applied to domains where multiple interacting (procedural) processes simultaneously work over the same objects, in the presence of additional (declarative) constraints relating activities from the same or different processes. A relevant example for this setting is that of healthcare, where co-morbid patients may be subject to multiple clinical pathways at once, in the presence of additional, general constraints capturing basic medical knowledge. To fill this gap, we have previously presented the M3 Framework and an accompanying monitoring technique, which allows for a hybrid representation of a process using both procedural and declarative models, and supports the modular creation of multi-process specifications where domain experts can focus on specific procedures and domain constraints without being forced to merge them into one single specification. In this paper, we make significant extensions to this framework, allowing us to go from simple toy examples towards addressing practical real-life scenarios. We achieve this by introducing a richer form of integration between the interacting process components, in particular supporting asynchronous and synchronous activities that may operate over local and global (shared) data variables. This is framed by a discussion of the business meaning of these concepts, the introduction of the corresponding modeling patterns, and the application of our approach to real-life business processes, the latter being the driving-force behind this paper.
•A new model for data-aware, hybrid multi-process specifications (HMPS).•HMPS enable modular business processes with procedural and declarative components.•Synchronous and asynchronous semantics for both activities and variables in HMPS.•Formalization of HPMS semantics in the context of process enactment and monitoring.•HMPS modeling patterns and their application to real life business processes.
Continuously indexed Gaussian fields (GFs) are the most important ingredient in spatial statistical modelling and geostatistics. The specification through the covariance function gives an intuitive ...interpretation of the field properties. On the computational side, GFs are hampered with the big n problem, since the cost of factorizing dense matrices is cubic in the dimension. Although computational power today is at an all time high, this fact seems still to be a computational bottleneck in many applications. Along with GFs, there is the class of Gaussian Markov random fields (GMRFs) which are discretely indexed. The Markov property makes the precision matrix involved sparse, which enables the use of numerical algorithms for sparse matrices, that for fields in only use the square root of the time required by general algorithms. The specification of a GMRF is through its full conditional distributions but its marginal properties are not transparent in such a parameterization. We show that, using an approximate stochastic weak solution to (linear) stochastic partial differential equations, we can, for some GFs in the Matérn class, provide an explicit link, for any triangulation of , between GFs and GMRFs, formulated as a basis function representation. The consequence is that we can take the best from the two worlds and do the modelling by using GFs but do the computations by using GMRFs. Perhaps more importantly, our approach generalizes to other covariance functions generated by SPDEs, including oscillating and non-stationary GFs, as well as GFs on manifolds. We illustrate our approach by analysing global temperature data with a non-stationary model defined on a sphere.
Rivers (on land) and turbidity currents (in the ocean) are the most important sediment transport processes on Earth. Yet how rivers generate turbidity currents as they enter the coastal ocean remains ...poorly understood. The current paradigm, based on laboratory experiments, is that turbidity currents are triggered when river plumes exceed a threshold sediment concentration of ~1 kg/m3. Here we present direct observations of an exceptionally dilute river plume, with sediment concentrations 1 order of magnitude below this threshold (0.07 kg/m3), which generated a fast (1.5 m/s), erosive, short‐lived (6 min) turbidity current. However, no turbidity current occurred during subsequent river plumes. We infer that turbidity currents are generated when fine sediment, accumulating in a tidal turbidity maximum, is released during spring tide. This means that very dilute river plumes can generate turbidity currents more frequently and in a wider range of locations than previously thought.
Key Points
Here we document for the first time how very dilute (up to 0.07 kg/m3) river plumes can generate powerful turbidity currents
Such low sediment concentrations are 20 times lower than those predicted by past theory and experiments
Therefore, turbidity currents are likely to be much more frequent and occur at a far wider range of locations than previously thought
Cooperative and synergistic chemical events have attracted significant attention from many researchers engaged in organic chemistry, inorganic chemistry, biological chemistry, polymer chemistry, ...medicinal chemistry, and other related materials sciences. Synergistic supramolecular systems could be developed to amplify the functions and integration o
This perspective illustrates the electromagnetic induction heating technology for a rational heat control in catalytic heterogeneous processes. It mainly focuses on the remarkable advantages of this ...approach in terms of process intensification, energy efficiency, reactor setup simplification, and safety issues coming from the use of radio frequency heated susceptors/catalysts in fixed-bed reactors under flow operational conditions. It is a real enabling technology that allows a catalytic process to go beyond reactor bounds, reducing inefficient energy transfer issues and heat dissipation phenomena while improving reactor hydrodynamics. Hence, it allows pushing catalytic processes to the limits of their kinetics. Undoubtedly, inductive heating represents a twist in performing catalysis. Indeed, it offers unique solutions to overcome heat transfer limitations (i.e. slow heating/cooling rates, nonuniform heating environments, low energy efficiency) to those endo- and exothermic catalytic transformations that make use of conventional heating methodologies.
In order to provide more sensitive monitoring results, the time dynamics and steady-state operating conditions should be separately monitored by distinguishing time information from the steady-state ...counterpart. However, it is a more challenging task for batch processes because they vary from phase to phase presenting multiple steady states and complex dynamic characteristics. To address the above issue, a concurrent monitoring strategy of multiphase steady states and process dynamics is developed for batch processes in this paper. On one hand, multiple local models are constructed to identify a steady derivation from the normal operating condition for different phases. On the other hand, based on the recognition that the process dynamics can be considered to be irrelevant with the steady states, a global model is built to detect the dynamics anomalies by monitoring the time variations. Corresponding to alarms issued by different statistics, different operating statuses are indicated with meaningful physical interpretation and deep process understanding. To illustrate the feasibility and efficacy, the proposed algorithm is applied to the injection molding process, which is a typical multiphase batch process.
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