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At least 595 records · Page 33Linked to original sources

Non-linear elastic properties of the lingual and facial tissues assessed by indentation technique. Application to the biomechanics of speech production.

This paper aims at characterizing the mechanical behavior of two human anatomical structures, namely the tongue and the cheek. For this, an indentation experiment was provided, by measuring the mechanical response of tongue and cheek tissues removed from the fresh cadaver of a 74 year old woman. Non-linear relationships were observed between the force applied to the tissues and the corresponding displacements. To infer the mechanical constitutive laws from these measurements, a finite element (FE) analysis was provided. This analysis aimed at simulating the indentation experiment. An optimization process was used to determine the FE constitutive laws that provided the non-linear force/displacements observed during the indentation experiments. The tongue constitutive law was used for simulations provided by a 3D FE biomechanical model of the human tongue. This dynamical model was designed to study speech production. Given a set of tongue muscular commands, which levels correspond to the force classically measured during speech production, the FE model successfully simulated the main tongue movements observed during speech data.

Aged↗

Employing epigenetics to augment the expression of therapeutic proteins in mammalian cells.

Recombinant proteins form an increasingly large part of the portfolio of biopharmaceutical companies. Production of these often complex transgenic proteins is achieved predominantly in mammalian cell lines but the process is hampered by low yields and unstable expression. Some of these problems are caused by gene silencing at the level of chromatin - so-called epigenetic gene silencing. Here, we describe approaches, which have emerged during the past few years, designed to interfere with epigenetic gene silencing with the aim of enhancing and stabilizing transgene expression. These include targeting histones, the inclusion of specific DNA elements and targeting sites of high gene-expression. We conclude that employing epigenetic gene regulation tools, in combination with further process optimization, might represent the next step forward in the production of therapeutic proteins.

Animals↗

Precipitation of enzyme-catalyzed phenol oxidative coupling products: background ion and pH effects.

The effects of solution pH and background ion types and concentrations on the precipitation of polymeric products generated in the catalytically facilitated oxidative coupling of phenol were investigated systematically. The coupling reactions mediated by horseradish peroxidase were carried out under a specific predetermined experimental condition. Acids, bases, and/or selected salts of ions having different valences were then added to the resulting product solutions to adjust pH and ionic conditions. Subsequent analyses of product distributions between dissolved and precipitated forms revealed that ionic conditions and pH significantly impact those distributions, and associated mechanisms are discussed. The findings reported will assist feasibility assessments and process optimization with respect to engineering applications of catalyzed oxidative coupling reactions for wastewater treatment and soil decontamination.

Catalysis↗

Nitrogen and phosphorus removal from an abattoir wastewater in a SBR with aerobic granular sludge.

The formation and performance of granular sludge was studied in an 8l sequencing batch reactor (SBR) treating an abattoir (slaughterhouse) wastewater. Influent concentrations averaged 1,520 mg l(-1) volatile suspended solids (VSS), 7,685 mg l(-1) Chemical oxygen demand (COD), 1,057 mg l(-1) total kjeldahl nitrogen (TKN), 217 mg l(-1) total P. The COD loading was 2.6 kgm(-3)d(-1). The SBR was seeded with flocculating sludge from a SBR with an 1h settle time, but granules developed within 4 days by reducing the settle time to 2 min. The SBR cycle also had 120 min mixed (anaerobic) fill, 220 min aerated react, and 18 min draw/idle. The granules had a mean diameter of 1.7 mm, a specific gravity of 1.035, a density of 62 g VSS l(-1), a zone settling velocity (ZSV) of 51 mh(-1), and a sludge volume index (SVI) of 22 ml g(-1). Without optimizing process conditions, removal of COD and P were over 98%, and removal of N and VSS were over 97%. Nitrification and denitrification occurred simultaneously during react. The results indicate that conventional SBRs treating wastewaters with flocculating sludge can be converted to granular SBRs by reducing the settle time.

Abattoirs↗

Effect of photochemical treatment on the biocompatibility of a commercial nonionic surfactant used in the textile industry.

The degradability of surfactants is a frequent and complex issue arising both at domestic as well as industrial treatment facilities. The present paper describes a laboratory study conducted to elucidate the photochemical and biochemical treatability of a nonionic, alkyl polyethylene ether-based surfactant formulation commonly used in the textile preparation stage. The application of H(2)O(2)/UV-C advanced photochemical oxidation appeared to be a suitable treatment alternative and 90% COD removal (COD(0) approximately 500 mg/L) could be achieved under optimized process conditions. A significant COD removal efficiency (74%) could also be reached after biodegradation (final COD=135 mg/L) of the surfactant; however, necessitated an acclimation period of at least 6 weeks for the achievement of steady-state conditions. H(2)O(2)/UV-C treatment efficiency was seriously retarded upon elevation of the initial COD to around 1000 mg/L, resulting in 46% COD and 38% TOC removal after 120 min photochemical oxidation (H(2)O(2,0)=1020 mg/L; pH(0)=9.1). The BOD(5)/COD ratio increased from 0.23 to 0.31 after the application of H(2)O(2)/UV-C revealing that photochemical pretreatment may have a positive effect on the ultimate biodegradation of the nonionic surfactant. Although the time required for activated sludge treatment to reach steady-state conditions could be reduced to 3 weeks for the photochemically pretreated surfactant formulation biochemical COD removal efficiency dramatically decreased from 74% to 39% for the nonionic surfactant being subjected to H(2)O(2)/UV-C pretreatment (ultimate COD after activated sludge treatment=265 mg/L).

Industrial Waste↗

[New tools for preclinical pharmaceutic research].

Despite constantly growing expenditures for pharmaceutical research, which have double in the last ten years, the number of new drugs marketed in the world has continued to decline. The last decade has nevertheless seen a series of major methodological advances in the fields including pharmacogenomics, pharamcogenetics, high-flow screening, and structural biology, all considered to contribute to the discovery of "drugs of the future". Systemic screening of compound banks has become the starting point for nearly all drug research. It is nevertheless only the first step towards a drug (typically lasting a few months compared with ten years before the final drug is marketed). For a compound to passé from a leading screening compound to a marketed drug, its often contradictory properties (solubility, permeability, duration of action, activity, selectivity, absence of toxicity) must undergo a long multidimensional optimization process. The development of easily interpreted low-cost in vitro tests allow prediction of these properties without animal experimentation, greatly facilitating the multidisciplinary process.

Animals↗

Calculation of PID controller parameters by using a fuzzy neural network.

In this paper, we use the fuzzy neural network (FNN) to develop a formula for designing the proportional-integral-derivative (PID) controller. This PID controller satisfies the criteria of minimum integrated absolute error (IAE) and maximum of sensitivity (Ms). The FNN system is used to identify the relationship between plant model and controller parameters based on IAE and Ms. To derive the tuning rule, the dominant pole assignment method is applied to simplify our optimization processes. Therefore, the FNN system is used to automatically tune the PID controller for different system parameters so that neither theoretical methods nor numerical methods need be used. Moreover, the FNN-based formula can modify the controller to meet our specification when the system model changes. A simulation result for applying to the motor position control problem is given to demonstrate the effectiveness of our approach.

Algorithms↗

Operation and control of a water supply system.

The control of water supply systems is becoming more important, since there are increasing requirements to improve operation. A need exists to model and simulate water supply systems so that their behavior can be fully understood and the total process optimized. This paper describes the simulation and control of a water supply system consisting of a sequence of pumping stations that deliver water through pipelines to intermediate storage reservoirs. The system is represented by dominant system variables that represent active and passive dynamical elements. The hydraulic models include the nonlinear coupling between flow rates and reservoir heads. The bisection numerical solution approach is used to obtain a roughness dependent friction coefficient. The whole system is simulated and the results are presented and compared with the real-time measured data. A water level controller using the robust polynomial H(infinity) optimization method by manipulating pump speed is obtained. The stochastic nature of the disturbance and loads is considered for controller design. The parametrized dynamic weighting functions of the design theory are selected to achieve the required control functions and robustness.

Journal Article↗

A simplified type-2 fuzzy logic controller for real-time control.

Increasingly, genetic algorithms (GAs) are used to optimize the parameters of fuzzy logic controllers (FLCs). Although GAs provide a systematic design approach, the optimization process is generally performed off-line using a plant model. Differences between the model and physical plant may result in unsatisfactory control performance when the FLCs are deployed in practice. Type-2 FLCs are an attractive alternative because they can better cope with modeling uncertainties. Unfortunately, type-2 FLCs are computationally intensive. This paper presents a simplified type-2 FLC that is suitable for real-time applications. The key idea is to only replace some critical type-1 fuzzy sets by type-2 sets. Experimental results indicate that the proposed simplified type-2 FLC is as robust as a conventional type-2 FLC, while lowering the computational cost.

Journal Article↗

Dynamic optimization: inverse analysis for the Yurchenko layout vault in women's artistic gymnastics.

The use of dynamic optimization to compute the trajectory of joint torques is not popular due to the large amount of computation required, the choice of initial "guesstimates" of torque values and the mathematical sophistication required to understand the technique. Modern optimal control algorithms circumvent most of these objections to the method. It is our aim to demonstrate that the dynamic optimization technique is feasible for complex movements, using the Yurchenko layout vault as an example. A dynamic optimization method to compute joint torques so that the histories of the angular orientations of the model segments closely approximate the corresponding observed angular coordinate histories is demonstrated with the Yurchenko layout vault using an optimal control package. The objective function used is a measure of distance of fitted segment angles to the data, plus the distance of the fitted whole body centre of mass (CM), from the whole body CM computed from the data. Including the CM into the objective function, facilitates the optimization process so as to obtain a set of torques which reproduced the data. The paper shows that the approach works well for the task examined, that is, where the dynamics of the system change during a movement (impact to postflight).

Adolescent↗

Determination of bisphenol-type contaminants from food packaging materials in aqueous foods by solid-phase microextraction-high-performance liquid chromatography.

A fast screening method consisting of off-line solid-phase microextraction coupled to HPLC and fluorescence detection, suitable for the analysis of several bisphenol derivatives and their degradation products in aqueous solution, has been developed. Detection limits of 0.7 ng ml(-1) for 2,2-bis[4-(glycidyloxy)phenyl]propane, 0.9 ng ml(-1) for bisphenol A bis(3-chloro-2-hydroxypropyl)ether, 1.1 ng ml(-1) for 2,2-bis(4-hydroxyphenyl)propane and 2.4 ng ml(-1) for bisphenol F diglycidyl ether have been achieved working in the linear range 10-500 ng ml(-1). The good analytical features achieved make the proposed method an interesting option for the direct determination of these compounds in aqueous canned food such as peas, tuna, olives, maize, artichokes or palm hearts. Both the optimization process and the results, including the analysis of real samples, are given and discussed.

Benzhydryl Compounds↗

The NK model of rugged fitness landscapes and its application to maturation of the immune response.

Adaptive evolution is, to a large extent, a complex combinatorial optimization process. Such processes can be characterized as "uphill walks on rugged fitness landscapes". Concrete examples of fitness landscapes include the distribution of any specific functional property such as the capacity to catalyze a specific reaction, or bind a specific ligand, in "protein space". In particular, the property might be the affinity of all possible antibody molecules for a specific antigenic determinant. That affinity landscape presumably plays a critical role in maturation of the immune response. In this process, hypermutation and clonal selection act to select antibody V region mutant variants with successively higher affinity for the immunizing antigen. The actual statistical structure of affinity landscapes, although knowable, is currently unknown. Here, we analyze a class of mathematical models we call NK models. We show that these models capture significant features of the maturation of the immune response, which is currently thought to share features with general protein evolution. The NK models have the important property that, as the parameter K increases, the "ruggedness" of the NK landscape varies from a single peaked "Fujiyama" landscape to a multi-peaked "badlands" landscape. Walks to local optima on such landscapes become shorter as K increases. This fact allows us to choose a value of K that corresponds to the experimentally observed number of mutational "steps", 6-8, taken as an antibody sequence matures. If the mature antibody is taken to correspond to a local optimum in the model, tuning the model requires that K be about 40, implying that the functional contribution of each amino acid in the V region is affected by about 40 others. Given this value of K, the model then predicts several features of "antibody space" that are in qualitative agreement with experiment: (1) The fraction of fitter variants of an initial "roughed in" germ line antibody amplified by clonal selection is about 1-2%. (2) Mutations at some sites of the mature antibody hardly affect antibody function at all, but mutations at other sites dramatically decrease function. (3) The same "roughed in" antibody sequence can "walk" to many mature antibody sequences. (4) Many adaptive walks can end on the same local optimum. (5) Comparison of different mature sequences derived from the same initial V region shows evolutionary hot spots and parallel mutations. All these predictions are open to detailed testing by obtaining monoclonal antibodies early in the immune response and carrying out in vitro mutagenesis and adaptive hill climbing with respect to affinity for the immunizing antigen.

Amino Acid Sequence↗

Taking the rough with the smooth: foraging for particulate food in continuous time.

This paper describes the development of the general dynamical model of foraging developed by Ollason (1980, Theoret. Popul. Biol. 18, 44-65) to predict foraging for particulate food in three different types of environment. In an environment containing particles of different types of food, the model predicts the selection of an approximately optimal diet; in an environment in which the particles occur in patches, the model predicts a time budget of patch occupancy that approximates to the optimal time budget; and in an environment containing patches of particles that regenerate by the addition of particles of food at constant rates, the model predicts that animals will dispose themselves among the patches approximately as predicted by the ideal free distribution. Where the predictions of the model depart from the predictions of optimal foraging theory, they are qualitatively similar to the observed departures of the behaviour of real animals from the predictions of optimal foraging theory. The model provides a general representation of the foraging decisions of animals whether they feed strictly continuously or discontinuously on particles of food, and does so without explicit reference to optimization processes.

Animals↗

Alzheimer's disease as a disorder of dynamic brain self-organization.

Mental function is based on the dynamic organization of neuronal networks. In particular, phylogenetically young brain areas (e.g., cortical associative circuits), involved in the realization of "higher brain functions" such as learning, memory, perception, self-awareness, and consciousness, are continuously re-adjusted even after development is completed. By this life-long self-optimization process, epigenetic information remodels the cognitive, behavioral and emotional reactivity of an individual to meet the environmental demands. To organize brain structures of increasing complexity during evolution, the process of selective dynamic stabilization and destabilization of synaptic connections becomes more and more important. The mechanisms of structural stabilization and labilization underlying a lifelong synaptic remodeling according to experience, are accompanied, however, by an increasing inherent potential of failure and may, thus, not only allow for the evolutionary acquisition of "higher brain function" but at the same time may provide the basis for selective neuronal vulnerability. The mechanisms of synaptic plasticity, i.e., of modifiable interneuronal connectivity, are largely based on external morphoregulatory cues and internal signaling pathways that nonneuronal cells have phylogenetically acquired to sense their relationship to the local neighborhood and to control proliferation and differentiation in the process of tissue repair and regeneration after development is completed. Differentiated neurons that have withdrawn from the cell cycle use these molecular machinery alternatively to control synaptic plasticity. The existence of these alternative effector pathways within a neuron puts it on the risk to erroneously convert signals derived from plastic synaptic changes into positional cues that will activate the cell cycle. This cell cycle activation potentially links synaptic plasticity to cell death. Preventing cell cycle activation by locking neurons in a differentiated but still highly plastic phenotype will, thus, be crucial to prevent neurodegeneration.

Alzheimer Disease↗

Polyphosphoester microspheres for sustained release of biologically active nerve growth factor.

Controlled delivery of neurotrophic proteins to a target tissue by biodegradable polymer microspheres has been explored widely for its potential applications in the treatment of various disorders in the nervous system. We investigated in this study the potential of polyphosphoester microspheres as carriers for the sustained release of nerve growth factor (NGF), a water-soluble neurotrophic protein. Two polyphosphoesters (PPEs), P(BHET-EOP/TC) and P(DAPG-EOP), as well as poly(lactide/glycolic acid) (PLGA), were used to fabricate microspheres by a W/O/W emulsion and solvent evaporation/extraction method. With bovine serum albumin as a model protein to optimize processing parameters. P(DAPG-EOP) microspheres exhibited a lower burst effect but similar protein entrapment levels and efficiencies when compared with those made of PLGA. Bioactive NGF could be released for at least 10 weeks from the P(DAPG-EOP) microspheres, as confirmed by a neurite outgrowth assay of the PC12 cells. These NGF containing microspheres were incorporated into the nerve guide conduits that were implanted to bridge a 10 mm gap in a rat sciatic nerve model. Two weeks after implantation, immunostaining with an antibody against the neurofilament protein confirmed the presence of axons at the distal end of regenerated cables within the NGF microsphere-loaded conduits. These results demonstrated the feasibility of using biodegradable PPEs for microencapsulation of NGF and provided a basis for future therapeutic application of the microspheres.

Animals↗

Impact of targeted vector design on Co/E1 plasmid replication.

The demands for recombinant proteins, in addition to plasmid DNA, for therapeutic use are steadily increasing. Bacterial fermentation processes have long been and still are the major tool for production of these molecules. The key objective of process optimization is to attain a high yield of the required quality, which is determined, to a large extent, by plasmid replication rates, metabolic capacity and the properties of the specific gene construct. When high copy number plasmids are used, the metabolic capacity of the host cell is often overstrained and efficient protein production is impaired. The plasmid copy number is the key parameter in the exploitation of the host cell, and can be maximized by optimal control of the flux ratios between biosynthesis of host cell proteins and recombinant proteins.

Bacterial Proteins↗

Progress in monitoring, modeling and control of bioprocesses during the last 20 years.

The paper gives a review on the recent development of bioprocess engineering. It includes monitoring of product formation processes by flow injection analysis, various types of chromatographic and spectroscopic methods as well as by biosensors. The evaluation of mycelial morphology and physiology by digital image analysis is discussed also. It deals with advanced control of indirectly evaluated process variables by means of state estimation/observer, with the use of structured and hybrid models, expert systems and pattern recognition for process optimization and gives a short report on the state of the art of metabolic flux analysis and metabolic engineering.

Biosensing Techniques↗

Visual motion direction evoked potentials are direction specifically influenced by concurrent vestibular stimulation.

We investigated the influence of vestibular stimulation on visual motion-direction perception using electrophysiological recordings. Visual motion-direction evoked potentials decreased in area during the rotation of subjects about their vertical z-axis, when visual and vestibular motion directions were incongruous (visual and vestibular stimulation in the same directions). Visual pattern onset evoked potentials, however, remained unaffected by vestibular stimulation. For rotations about the interaural y-axis, decreased area of visual-direction evoked potentials was found for both congruous and incongruous combinations of visual and vestibular stimulation. The results are in accordance with previous psychophysically obtained data and discussed in terms of postnatal development and neurophysiological optimization processes. An interaction model focused on reciprocal inhibition of the middle temporal visual (MT) area and the medial superior temporal (MST) area is presented.

Adult↗