Solution time reduction techniques of a stochastic dynamic programming approach for hazardous material route selection problem

We use a stochastic dynamic programming (SDP) approach to solve the problem of determining the optimal routing policies in a stochastic dynamic network. Due to its long time for solving SDP, we propose three techniques for pruning stochastic dynamic networks to expedite the process of obtaining optimal routing policies. The techniques include: (1) use of static upper/lower bounds, (2) pre-processing the stochastic dynamic networks by using the start time and origin location of the vehicle, and (3) a mix of pre-processing and upper/lower bounds. Our experiments show that while finding optimal routing policies in stochastic dynamic networks, the last two of the three strategies have a significant computational advantage over conventional SDP. Our main observation from these experiments was that the computational advantage of the pruning strategies that depend on the start time of the vehicle varies according to the time input to the problem. We present the results of this variation in the experiments section. We recommend that while comparing the computational performances of time-dependent techniques, it is very important to test the performance of such strategies at various time inputs.     

Applying sustainable technology for saving primary energy in the brewhouse during beer brewing

Wort boiling is the most energy intensive stage in the brewing process. For this reason considerable attention has been given to improve the efficiency of wort boiling systems. Alternative wort boiling technologies, such as low pressure boiling and high temperature wort boiling, have been studied in detail during the last decades, with a focus on the reduction of primary energy consumption. Recently, new boiling systems have been developed and commercialised. The new systems reduced the energy consumption still further and are all characterised by exerting a low thermal stress on the wort during boiling.In this review, an overview of wort boiling objectives, possibilities to reduce the thermal stress on wort and environmental aspects of wort boiling are discussed. Furthermore, recent wort boiling systems—i.e. dynamic low pressure boiling and boiling systems which are based on low thermal stress boiling in combination with volatile stripping (steam, film and vacuum stripping)—are given special attention.     

Detection of potential markers of primary fibromyalgia syndrome in human saliva

In the last few years, many attempts have been carried out for the research of specific biological biomarkers in fibromyalgia (FM) since, so far, no laboratory tests have been appropriately validated for the diagnosis and the prognostic stratification of the disease. In our study for the first time, we carried out a proteomic analysis of the whole saliva of FM patients in order to evaluate salivary biomarkers. Twenty-two FM patients with all fulfilling the American College of Rheumathology diagnostic criteria for FM and 26 sex-and age-matched healthy subjects were enrolled in the study. Proteomic analysis was performed by combining 2-DE and MALDI-TOF-MS. The most relevant observation which emerged from the data analysis was the exclusive and significant over-expression of transaldolase and phosphoglycerate mutase I. These findings were validated by Western blot analysis and the total optical density confirmed the significant up-regulation of transaldolase and phosphoglycerate mutase I in FM samples with respect to healthy subjects. It was noteworthy that seven further salivary proteins resulted differentially expressed, namely: calgranulin A, calgranulin C, cyclophilin A, profilin 1, Rho GDP-dissociation inhibitor 2, proteasome subunit-α-type-2 and haptoglobin-related protein precursor. These preliminary results demonstrated the utility of salivary proteomic analysis in the identification of salivary biomarkers in FM patients and in clarifying some of the pathogenetic aspects of the disease.     

Equivalent area nonlinear static and dynamic analysis of electrostatically actuated microstructures

Nonlinear dynamic investigation of electrostatically actuated micro-electro-mechanical-system (MEMS) microcantilever structures is presented. The nonlinear analysis aims to better quantify, than the linear model, the instability threshold associated with electrostatically actuated MEMS structures, where the pull-in voltage of the microcantilever is determined using a phase portrait analysis of the microsystem. The microcantilever is modeled as a lumped mass-spring system. The nonlinear electrostatic force is incorporated into the lumped microsystem through an equivalent area of the microcantilever for a given electrostatic potential. Electro-mechanical force balance plots are obtained for various electrostatic potentials from which the static equilibrium positions of the microcantilever are obtained and the respective conservative energy values are determined. Subsequently, phase portrait plots are obtained for the corresponding energy values from which the pull-in voltage is estimated for the microsystem. This pull-in voltage value is in good agreement with the previously published results for the same geometric and material parameters. The results obtained for linear electrostatic models are also presented for comparison.     

General rules for the optimal external porosity of LC supports

We present a series of numerically calculated plate height and flow resistance data obtained for an idealized chromatographic support mimic with variable bed porosity (0.3 相似文献   

Dynamic scheduling of FMS using a real-time genetic algorithm

The paper presents a genetic algorithm capable of generating optimised production plans in flexible manufacturing systems. The ability of the system to generate alternative plans following part-flow changes and unforeseen situations is particularly stressed (dynamic scheduling). Two contrasting objectives represented by the reduction of machine idle-times, thanks to dynamic scheduling computation and the reduction of the makespan, are taken into account by the proposed system. The key-point is the real-time response obtained by an optimised evolutionary strategy capable of minimising the number of genetic operations needed to reach the optimal schedule in complex manufacturing systems.     

Porous electrodes supported on ion-exchange membranes as electrochemical detectors for supercritical fluid chromatography

A conveniently assembled electrochemical cell, exploiting a porous electrode supported on a moist perfluorinated ion-exchange polymer, is proposed for profitable electrochemical detection in supercritical fluid chromatography. It consists of a porous Pt working electrode, contacted by the mobile phase from the chromatographic column, which is chemically deposited onto one side of a Nafion membrane. The rear uncoated side of this membrane, acting as a solid polymer electrolyte, is contacted by an electrolyte solution (1 M NaCl) contained in an internal compartment equipped with a Pt counter electrode and a Ag/AgCl, Cl(-) 1 M reference electrode. Ferrocene, eluted with supercritical carbon dioxide through a Spherisorb column installed in a supercritical fluid chromatographic system, was used as electroactive prototype analyte to test the performance of this detector, which turned out to be quite better than that provided by a conventional on-line UV absorbance detector. The recorded peaks were characterized by both a good reproducibility (4.5%) and a linear dependence of their height and area, which extended over a wide concentration range ( approximately 3 orders of magnitude). Moreover, they were not interfered by possible solvent front, unlike peaks recorded by the UV detector. The detection limit, estimated for a signal-to-noise ratio of 3 (4.2 x 10(-11) mol), was lower by approximately 1 order of magnitude than that found for the UV detector. Finally, the long-term stability of this detector was satisfactory in that only a approximately 6% decrease in the current responses was observed after a rather long period (2 months) of continuous use.     

LDLR, GYPA, HBGG, D7S8 and GC allele and genotype frequencies in the northwest Italian population

Anaerobic culture is employed routinely in the primary isolation of periodontal pathogenic bacteria. However, little or no data exist on the relative abilities of the Coy anaerobic chamber (Coy Laboratory Products, Grass Lake, Mich.), the GasPak (Becton Dickinson Microbiology Systems, Cockeysville, Md.), and the AnaeroPack (Mitsubishi Gas Chemical America, Inc., New York, N.Y.) systems to grow important periodontal species, including Porphyromonas gingivalis, Prevotella intermedia/nigrescens, Bacteroides forsythus, Eubacterium species, Campylobacter species, Fusobacterium species, and Peptostreptococcus micros. A total of 78 specimens from advanced periodontitis lesions were collected anaerobically, plated on enriched blood agar medium, and incubated at 35 degrees C for 5 to 7 days in each anaerobic culture system. The three culture systems were equally efficient in isolating Porphyromonas gingivalis and Prevotella intermedia/nigrescens. The Coy anaerobic chamber yielded the highest proportional recoveries of Campylobacter (P = 0.0001; nonparametric analysis of variance) and Eubacterium (P = 0.009). The Coy anaerobic chamber and the GasPak system demonstrated higher proportional recoveries of Bacteroides forsythus (P = 0.0006) and Peptostreptococcus micros (P = 0.0001) than the AnaeroPack system. The AnaeroPack system was most efficient in growing Fusobacterium species (P = 0.0001). Overall, the Coy anaerobic chamber and the GasPak system showed the highest proportional recoveries of putative periodontal pathogens, but the recoveries by the various anaerobic test systems varied considerably from sample to sample.     

Frequency tuning AFM optical levers using a slot

Presented here is a theoretical analysis and experimental validation for the passive frequency tuning of atomic force microscope (AFM) optical levers. The natural frequencies of the optical lever are a function of material, geometry, and elastic properties of the microstructure. In this regard, the geometry of the structure can be altered in post-fabrication using such methods as laser drilling or focused ion beam machining. Several slot sizes are investigated and the eigenvalues obtained are mapped as a function of the slot length and width. In this regard, the elastic property of the optical lever can be tuned through material removal in either a mass or stiffness reduction arrangement in which a particular slot size and configuration is machined into the optical lever structure. In this work a slot cut into the optical lever using focused ion beam machining is used to passively tune the natural frequencies and mode shapes of suspended microcantilever structures used for optical lever scanning such as in AFM probes. This analysis will contribute to the performance optimization of AFM probes and microresonators. The Rayleigh–Ritz energy method is used for the theoretical analysis and a non-contact optical test method is used to obtain the natural frequency of several slotted AFM optical levers.     

Modeling thermophoretic effects in solid-state nanopores

Local modulation of temperature has emerged as a new mechanism for regulation of molecular transport through nanopores. Predicting the effect of such modulations on nanopore transport requires simulation protocols capable of reproducing non-uniform temperature gradients observed in experiment. Conventional molecular dynamics (MD) method typically employs a single thermostat for maintaining a uniform distribution of temperature in the entire simulation domain, and, therefore, can not model local temperature variations. In this article, we describe a set of simulation protocols that enable modeling of nanopore systems featuring non-uniform distributions of temperature. First, we describe a method to impose a temperature gradient in all-atom MD simulations based on a boundary-driven non-equilibrium MD protocol. Then, we use this method to study the effect of temperature gradient on the distribution of ions in bulk solution (the thermophoretic effect). We show that DNA nucleotides exhibit differential response to the same temperature gradient. Next, we describe a method to directly compute the effective force of a thermal gradient on a prototypical biomolecule—a fragment of double-stranded DNA. Following that, we demonstrate an all-atom MD protocol for modeling thermophoretic effects in solid-state nanopores. We show that local heating of a nanopore volume can be used to regulate the nanopore ionic current. Finally, we show how continuum calculations can be coupled to a coarse-grained model of DNA to study the effect of local temperature modulation on electrophoretic motion of DNA through plasmonic nanopores. The computational methods described in this article are expected to find applications in rational design of temperature-responsive nanopore systems.