Notable Deviation Research Articles

The Sources and Transformations of Dissolved Organic Matter in the Pearl River Estuary, China, as Revealed by Stable Isotopes

AbstractTo investigate the sources and transformation processes of bulk marine dissolved organic matter (DOM), seasonally collected water samples from the Pearl River Estuary (PRE), south China, were analyzed for concentration and stable isotopic ratios (δ13C and δ15N) of DOM. The δ13C values clearly indicated a shift of dissolved organic carbon (DOC) sources from terrigenous material in the river to predominantly plankton in the lower estuary. The distribution of δ13C during the estuarine mixing, in combination with the notable deviation of DOC concentration, provided strong evidence for a substantial DOC removal in the salinity range of 5 to 22. In contrast to δ13C, the δ15N of DOM exhibits a strong seasonality, implying a clear decoupling of estuarine DOC and dissolved organic nitrogen (DON) dynamics. During dry periods with low river discharge, sewage‐derived DON contributed significantly to the riverine loading. While freshwater‐saltwater mixing is important in regulating the distribution of DON, the distribution of δ15N along the salinity gradient provided strong evidence for active sediment‐water interaction and adsorption/desorption processes at the middle to high salinities. During wet periods, severe soil loss and erosion, and/or in situ biological production, adsorption onto suspended particles dominate the riverine DON fluxes, whereas the DON dynamics might be governed by different biogeochemical processes between spring and summer, as reflected by distinct δ15DON patterns in the estuarine zone. In spring, highly degraded DON originating from soil experienced little further biological alternation during estuarine mixing, whereas there was a tight coupling of DON production and consumption in summer.

Nanoparticles (Cu, [formula omitted], [formula omitted]) analysis on unsteady blood flow through an artery with a combination of stenosis and aneurysm

A theoretical and numerical study of unsteady pulsatile blood flow through an artery with a combination of stenosis and aneurysm containing nano-particles (Cu, TiO2,Al2O3) has been discussed in this article. The transport equations comprise momentum and energy partial differential equations with physiologically realistic boundary conditions. The bi-directional, non-linear, coupled differential equations are simplified by using the assumption of mild stenotic condition. The coupled differential equations are solved numerically by using robust finite difference method. The effects of nano-particles along with aneurysm on blood flow rate, wall shear stress and impedance are discussed in detail through graphs. Similarly, the graphical results of nano-particles fluid show notable deviation when compared with pure blood profiles. At the end, it is also concluded from the calculated results that both source/sink β parameter and Grashof number (Gr) facilitates the blood to maximize its flow within the vessel and minimize the hemodynamic factors such as wall shear and impedance. The circulating regions inside the flow field are also investigated through instantaneous patterns of streamlines for different parameters of interest.

Measuring offshore tsunami currents using ship navigation records

We investigated ship navigation records known as Automatic Identification System (AIS) data near the source region of the 2011 Tohoku, Japan, tsunami. The AIS data of 16 ships in the offshore navigation could be compiled by about 40 min after the tsunami generation. Most of the AIS data showed notable deviation of the ship heading from the course over ground during the tsunami passage. There was good agreement in terms of amplitude/phase between the ship velocity and the simulated tsunami velocity in the direction normal to the ship heading. An equation of motion due to wave drag and inertia forces was examined for an offshore movable floating body. We explain that the ship movement in the direction normal to the heading immediately responds to the tsunami current, and relative velocity between the ship and the tsunami current asymptotically become zero. This indicates the movement velocity of navigating ships in the direction normal to the heading derived from AIS data will work as an offshore tsunami current meter. We examined the AIS data during the 2011 Tohoku tsunami and showed these data could be useful for tsunami source estimation and forecast. The AIS data in the current framework will possibly be a crowd-sourced tool for monitoring offshore tsunami current and tsunami forecast.

Structural and Electronic Investigation of Tetrachalcogenidomolybdate Dianions

AbstractFour compounds with tetrachalcogenidomolybdate dianions were examined under identical conditions by single crystal X‐ray diffraction and density functional theory (DFT) calculations. Structural comparisons of bond lengths and angles were made looking at effects of counter‐cations and type of chalcogenide (S or O). Ultimately, bond lengths and angles were found to be fairly regular for each anion and in good agreement with computational results, with exceptions likely stemming from close contacts in the crystal packing. A trend of increasing bond lengths was observed with increasing cation size. The most notable structural deviation occurred in [MoO2S2]2−, where the theoretical structure has a smaller O−Mo‐O angle and a larger S−Mo‐S angle, which was opposite in the crystal structure. This is likely attributed to N−H—S and N−H—O interactions. Both experimental and computational results suggest that uniform charge delocalization in all four structures. The HOMO‐LUMO gap increases significantly with increasing number of oxygen atoms and electronic transitions were determined to be all ligand to metal charge transfer (LMCT).

Diurnal Cycle of Surface Air Temperature within China in Current Reanalyses: Evaluation and Diagnostics

Abstract Diurnal cycle of surface air temperature T is an important metric indicating the feedback of land–atmospheric interaction to global warming, whereas the ability of current reanalyses to reproduce its variation had not been assessed adequately. Here, we evaluate the daily maximum temperature Tmax, daily minimum temperature Tmin, and diurnal temperature range (DTR) in five reanalyses based on observations collected at 2253 weather stations over China. Our results show that the reanalyses reproduce Tmin very well; however, except for Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2), they substantially underestimate Tmax and DTR by 1.21°–6.84°C over China during the period of 1980–2014. MERRA-2 overestimates Tmax and DTR by 0.35° and 0.81°C, which are closest with observation. The reanalyses are skillful in reproducing the interannual variability of Tmax and Tmin but relatively poor for DTR. All reanalyses underestimate the warming trend of Tmin by 0.13°–0.17°C (10 yr)−1 throughout China during 1980–2014, and underestimate the warming trend of Tmax by 0.24°–0.40°C (10 yr)−1 in northwestern China while overestimating this quantity by 0.18°–0.33°C (10 yr)−1 in southeastern China. These trend biases in Tmax and Tmin introduce a positive trend bias in DTR of 0.01°–0.26°C (10 yr)−1 within China, especially in the north China plain and southeastern China. In the five reanalyses, owing to the sensitivity discrepancies and trend biases, the surface solar radiation Rs and precipitation frequency (PF) are notable deviation sources of the diurnal cycle of air temperature, which explain 31.0%–38.7% (31.9%–37.8%) and 9.8%–22.2% (7.4%–15.3%) of the trend bias in Tmax (DTR) over China, respectively.

Facial Reanimation in the Seventh and Eighth Decades of Life.

Treatment of facial paralysis in the older population is often relegated to static rather than dynamic reanimation for fear of poor outcomes. This pervasive approach lacks physiologic foundation and is not evidence based. Thus, the authors present an extensive literature review demonstrating weak evidence supporting this misguided concept, followed by detailed outcomes from three centers of the largest reported series to date of patients older than 60 years after reanimation performed using three techniques-lengthening temporalis myoplasty, free functional muscle, and nerve transfers. A PubMed search spanning over 40 years identified all reports on reanimation in patients older than 60 years. In addition, detailed demographics, surgical techniques, and outcomes of 30 patients older than 60 years were analyzed. Of 629 articles, only 45 patients were identified, described in case reports or small series, lacking details or consistent long-term follow-up. In the clinical series, average age, preoperative House-Brackmann score, and comorbidities were similar among the groups. Highest excursion was observed in the free functional muscle group, followed by nerve transfer and temporalis myoplasty, averaging 10.4, 6.8, and 3.1 mm, respectively. The most notable philtral deviation correction was in the lengthening temporalis myoplasty group, followed by the free muscle and nerve transfer groups, averaging 5.6, 2.2, and 1.13 mm, respectively. Complication rates were highest in the free functional muscle group. Facial palsy patients should not be denied dynamic restoration based on age alone. Although surgical technique may vary based on duration of palsy, surgeon experience, and preference, with each presenting advantages and disadvantages, dynamic restoration is feasible regardless of age. Therapeutic, IV.

Sequence analysis of thegene encoding polyhedrin of monodon baculovirus (MBV) infected in penaeid shrimp (Penaeus monodon) in Vietnam

Monodon Baculovirus (MBV) is a causative agent in farmed shrimp. It is a double-stranded DNA virus with genome size of 119.638 bp. MBV virions are free in the nuclei or covered by the occlusion bodies(Obs) constructed by polyhedrin matrix proteins of MBV. OBs serve to protect the occluded virions from the outside environment for extended periods until they are ingested by insect larvae. Polyhedrin is a type of protein covering the viruswith size from 17 to 23 nm, as well as a surface antigen used for Baculovirus detection. Sequence analysis of the gene coding for polyhedrin (polhed) showed that their open reading frame (ORF) was 1,371 bp long and coding for a polypeptide of 457 amino acids.The alignment of nucleotide sequencesof all polyhedrin genes including those of MBV isolated in Vietnam and from GenBank showed that polhed from Vietnam has 97%, 97% and 94% sequence identity compared to that of Thailand, Taiwan and India, respectively. Amino acid analysis revealed that the insertions occur at the sites 72-73 with 4 aa (p.72_73insNEPM) and at 81-82 with 7 aa (p.81_82ins PYHNSPN) in the MBV isolated in Vietnam in comparison with that of Thailand. In addition, we also observed other amino acid substitutions in the protein sequence as: p.Thr55Gly, p.Glu63Asp, p.Asn72Asp, p.Glu92Gly, p.Met93Leu, p.Lys108Asnand p.Lys113Asn. These amino acid changes may affect the protein structure and reduce the specificity of the antigen. Therefore, the foreign kits for MBV diagnosis may have less specificity when using for inland MBV strains detection. The result of our research suggests that MBV which cause diseases in Vietnamese shrimps have notable genetic deviation compared to that of Thailand’s and other countries’ in the world.

Brownian Translational Dynamics on a Flexible Surface: Nuclear Spin Relaxation of Fluid Membrane Phases.

A general model for nuclear magnetic resonance (NMR) relaxation studies of fluid bilayer systems is introduced, combining a mesoscopic Brownian dynamics description of the bilayer with atomistic molecular dynamics (MD) simulations. An example is given for dipalmitoylphosphatidylcholine in 2H2O solvent and compared with the experiment. Experimental agreement is within a factor of 2 in the water relaxation rates, based on a postulated model with fixed parameters, which are largely available from the MD simulation. Relaxation rates are particularly sensitive to the translational diffusion of water perturbed by the interface dynamics and structure. Simulation results suggest that a notable deviation in the relaxation rates may follow from the commonly used small-angle approximation of bilayer undulation. The method has the potential to overcome the temporal and spatial limitations in computing NMR relaxation with atomistic MD, as well as the shortcomings of continuum models enabling a consistent description of experiments performed on a solvent lipid and added spin probes. This work opens for possibilities to understand relaxation processes involving systems such as micelles, multilamellar vesicles, red blood cells, and so forth at biologically relevant timescales in great detail.

Detection of evaluation bias caused by genomic preselection

The aim of this simulation study was to investigate whether it is possible to detect the effect of genomic preselection on Mendelian sampling (MS) means or variances obtained by the MS validation test. Genomic preselection of bull calves is 1 additional potential source of bias in international evaluations unless adequately accounted for in national evaluations. Selection creates no bias in traditional breeding value evaluation if the data of all animals are included. However, this is not the case with genomic preselection, as it excludes culled bulls. Genomic breeding values become biased if calculated using a multistep procedure instead of, for example, a single-step method. Currently, about 60% of the countries participating in international bull evaluations have already adopted genomic selection in their breeding schemes. The data sent for multiple across-country evaluation can, therefore, be very heterogeneous, and a proper validation method is needed to ensure a fair comparison of the bulls included in international genetic evaluations. To study the effect of genomic preselection, we generated a total of 50 replicates under control and genomic preselection schemes using the structures of the real data and pedigree from a medium-size cow population. A genetic trend of 15% of the genetic standard deviation was created for both schemes. In carrying out the analyses, we used 2 different heritabilities: 0.25 and 0.10. From the start of genomic preselection, all bulls were genomically preselected. Their MS deviations were inflated with a value corresponding to selection of the best 10% of genomically tested bull calves. For cows, the MS deviations were unaltered. The results revealed a clear underestimation of bulls' breeding values (BV) after genomic preselection started, as well as a notable deviation from zero both in true and estimated MS means. The software developed recently for the MS validation test already produces yearly MS means, and they can be used to devise an appropriate test. Mean squared true MS of genomically preselected bulls was clearly inflated. After correcting for the simulated preselection bias, the true genetic variance was smaller than the parametric value used to simulate BV, and also below the variance based on the estimated BV. Based on this study, the lower the trait's heritability, the stronger the bias in estimated BV and MS means and variances. Daughters of genomically preselected bulls had higher true and estimated BV compared with the control scheme and only slightly elevated MS means, but no effect on genetic variances was observed.

Fully Kinetic versus Reduced-kinetic Modeling of Collisionless Plasma Turbulence

Abstract We report the results of a direct comparison between different kinetic models of collisionless plasma turbulence in two spatial dimensions. The models considered include a first-principles fully kinetic (FK) description, two widely used reduced models (gyrokinetic (GK) and hybrid-kinetic (HK) with fluid electrons), and a novel reduced gyrokinetic approach (KREHM). Two different ion beta ( ) regimes are considered: 0.1 and 0.5. For , good agreement between the GK and FK models is found at scales ranging from the ion to the electron gyroradius, thus providing firm evidence for a kinetic Alfvén cascade scenario. In the same range, the HK model produces shallower spectral slopes, presumably due to the lack of electron Landau damping. For , a detailed analysis of spectral ratios reveals a slight disagreement between the GK and FK descriptions at kinetic scales, even though kinetic Alfvén fluctuations likely still play a significant role. The discrepancy can be traced back to scales above the ion gyroradius, where the FK and HK results seem to suggest the presence of fast magnetosonic and ion Bernstein modes in both plasma beta regimes, but with a more notable deviation from GK in the low-beta case. The identified practical limits and strengths of reduced-kinetic approximations, compared here against the FK model on a case-by-case basis, may provide valuable insight into the main kinetic effects at play in turbulent collisionless plasmas, such as the solar wind.

Prospect of open-cell solid foams for floating-platform multiphase reactor applications – Maldistribution susceptibility and hydrodynamic behavior

Open-cell solid foams are tested for the first time as prospective structured packings in floating columns to evaluate their potential for offshore multiphase reactor applications. Using a hexapod ship motion simulator and low-intrusive wire-mesh sensors, the effect of floating vessel motions on the hydrodynamic behavior of SiSiC foam packed beds operated with concurrent descending gas-liquid flow was comprehensively investigated. The response of gas-liquid distribution, overall bed pressure drop, and liquid axial dispersion to column tilts as well as translational and rotational motions was acquired and compared to their corresponding stationary (onshore) analog configuration. Maldistribution sensitivity and susceptibility of solid-foam packed beds subject to ship tilts and accelerations were interpreted in terms of fluid uniformity factor. Moreover, a stimulus-response tracer pulse technique and a macro-mixing model were used to estimate the liquid mean residence time and Péclet number. Similar to random packings, fluid maldistribution was found to prevail in solid-foam beds with deviations from uniformity greater for rotational than for translational perturbations. Vessel tilts and oscillations adversely affect open-cell foam bed hydrodynamic performance yielding transient gas-liquid segregated flow regimes, oscillations of pressure drop and uniformity factor, as well as notable deviation from liquid plug flow.

Neighbour-die effect on the measurement of wafer-level flip-chip LED dies in production lines

The light from the side surfaces of the test flip-chip light-emitting diode (FCLED) dies is reflected, refracted or absorbed by neighbour dies during the measurement of wafer-level FCLED dies in production lines. A notable measurement deviation is caused by the neighbour-die effect, which is not considered in current industry practice. In this paper, Monte Carlo ray-tracing simulations are used to study the measurement deviations caused by the neighbour-die effect and extension ratios of the film. The simulation results show that the maximal deviation of radiant flux impinging the photodiode can reach 5.5%, if the die is tested without any neighbour dies, or is surrounded by a set of neighbour dies at an extension ratio of 1.1. Moreover, the dependence between the measurement results and neighbour cases for different extension ratios is also investigated. Then, a modified calibration method is proposed and studied. The proposed technique can be used to improve the calibration and measurement accuracy of the test equipment used for measurement of wafer-level FCLED dies in production lines.

Molecular dynamics studies of electron-ion temperature equilibration in hydrogen plasmas within the coupled-mode regime.

We use classical molecular dynamics (MD) to study electron-ion temperature equilibration in two-component plasmas in regimes for which the presence of coupled collective modes has been predicted to substantively reduce the equilibration rate. Guided by previous kinetic theory work, we examine hydrogen plasmas at a density of n=10^{26}cm^{-3},T_{i}=10^{5}K, and 10^{7}K<T_{e}<10^{9}K. The nonequilibrium classical MD simulations are performed with interparticle interactions modeled by quantum statistical potentials (QSPs). Our MD results indicate (i) a large effect from time-varying potential energy, which we quantify by appealing to an adiabatic two-temperature equation of state, and (ii) a notable deviation in the energy equilibration rate when compared to calculations from classical Lenard-Balescu theory including the QSPs. In particular, it is shown that the energy equilibration rates from MD are more similar to those of the theory when coupled modes are neglected. We suggest possible reasons for this surprising result and propose directions of further research along these lines.

Dynamic Pricing in the Presence of Myopic and Strategic Consumers: Theory and Experiment

We investigate retailers’ dynamic pricing decisions in a stylized two‐period setting with possible supply constraints and demand from both myopic and strategic consumers. We present an analytical model and then test its predictions in a behavioral experiment in which human subjects played the role of pricing managers. We find that the fraction of strategic consumers in the market systematically moderates the optimal pricing structure. When this fraction exceeds a certain threshold, the retailer offers relatively small late season markdowns to discourage strategic consumers from waiting and to incentivize them to buy during the early season; otherwise, the retailer offers relatively large markdowns to divert all strategic consumers to the late season, where the majority of revenue is made. Our model analyses suggest that the latter policy is optimal under fairly broad conditions. Our experiment shows that after some significant learning, aggregate behavior is able to approximate the key qualitative predictions from our model analysis, with one notable deviation: in the presence of a mixture of myopic and strategic consumers, subjects act somewhat myopically – they underprice and oversell in the main selling season, which significantly limits their ability to generate revenue in the markdown season.

Statistical distribution of components of energy eigenfunctions: from nearly-integrable to chaotic

We study the statistical distribution of components in the non-perturbative parts of energy eigenfunctions (EFs), in which main bodies of the EFs lie. Our numerical simulations in five models show that deviation of the distribution from the prediction of random matrix theory (RMT) is useful in characterizing the process from nearly-integrable to chaotic, in a way somewhat similar to the nearest-level-spacing distribution. But, the statistics of EFs reveals some more properties, as described below. (i) In the process of approaching quantum chaos, the distribution of components shows a delay feature compared with the nearest-level-spacing distribution in most of the models studied. (ii) In the quantum chaotic regime, the distribution of components always shows small but notable deviation from the prediction of RMT in models possessing classical counterparts, while, the deviation can be almost negligible in models not possessing classical counterparts. (iii) In models whose Hamiltonian matrices possess a clear band structure, tails of EFs show statistical behaviors obviously different from those in the main bodies, while, the difference is smaller for Hamiltonian matrices without a clear band structure.

Monitoring Poisson’s ratio of glass fiber reinforced composites as damage index using biaxial Fiber Bragg Grating sensors

Damage accumulation in Glass Fiber Reinforced Polymer (GFRP) composites is monitored based on Poisson’s ratio measurements for three different fiber stacking sequences subjected to both quasi-static and quasi-static cyclic tensile loadings. The sensor systems utilized include a dual-extensometer, a biaxial strain gage and a novel embedded-biaxial Fiber Bragg Grating (FBG) sensor. These sensors are used concurrently to measure biaxial strain whereby the evolution of Poisson’s ratio as a function of the applied axial strain is evaluated. It is observed that each sensor system indicates a non-constant Poisson’s ratio, which is a sign of damage accumulation under the applied tensile loading. As the number of off-axis plies increases, transverse strain indicates a notable deviation from linearity due to the formation of transverse cracking, thereby leading to a larger reduction in Poisson’s ratio as a function of applied axial strain. Here, it is demonstrated that biaxially embedded FBG sensors are reliable to monitor the evolution of Poisson’s ratio, unlike biaxial strain gages which record strain values that can be significantly influenced by the cracks formed on the surface of the specimen.

Neural implementation of probabilistic models of cognition

Bayesian models of cognition hypothesize that human brains make sense of data by representing probability distributions and applying Bayes’ rule to find the best explanation for available data. Understanding the neural mechanisms underlying probabilistic models remains important because Bayesian models provide a computational framework, rather than specifying mechanistic processes. Here, we propose a deterministic neural-network model which estimates and represents probability distributions from observable events—a phenomenon related to the concept of probability matching. Our model learns to represent probabilities without receiving any representation of them from the external world, but rather by experiencing the occurrence patterns of individual events. Our neural implementation of probability matching is paired with a neural module applying Bayes’ rule, forming a comprehensive neural scheme to simulate human Bayesian learning and inference. Our model also provides novel explanations of base-rate neglect, a notable deviation from Bayes.

Practice of the Treatment of Milk Allergy in the UK: A National Audit

Background: The management of cow's milk allergy (CMA) includes initial dairy exclusion with suitable dietary substitution, diagnostic challenges where indicated, and supervised re-introduction as the condition resolves. Information on clinician practice is limited. We audited the current practice of clinicians in the UK to evaluate adherence to international guidelines. Methods: An online questionnaire was sent to all clinicians whose practice included children identified on the national allergy society website. One hundred and sixty questionnaires were sent and 116 (73%) responded. Results: Skin prick tests were more commonly used than serum-specific IgE as diagnostic tests. Respective proportions selecting amino acid formulas (AAF) or extensively hydrolysed formulas (EHF) in severe versus mild/moderate presentations were 78 and 40% versus 20 and 88%; soya formula was the first choice in 8.6 and 24%. The criteria for selection of AAF as the first choice were predominantly severe IgE-mediated and non-IgE-mediated reactions, failure to thrive and if infants refused EHF. Oral challenges might be used to diagnose CMA in 69%, whereas nearly 90% performed challenges to assess tolerance. Most of these were open challenges, more commonly with fresh milk (90%) than baked milk (60%). Home baked milk challenges were frequently considered (70%), although only after consideration of the clinical scenario. Practice did not vary with experience. Conclusions: Current practice amongst UK clinicians of the management of CMA is broadly in line with current guidance, particularly the positioning of hypoallergenic milks as substitute milk choices. A notable deviation was the use of home baked milk challenges or re-introduction.

Sperm Donor Selection using Nominal and Binary Variable Methods

advances in medical sciences are motivating researchers across the world to contribute to the field of assisted reproductive techniques, commonly referred as ART. During ART treatment, in case of male infertility, couples are often advised conceiving through donor sperms. Such couples have a common fear that the offspring may not resemble them in physical appearance. Any notable deviation in the offspring's physical appearance from his or her parents may seriously affect the couple both socially and psychologically. It is often expected that the selected sperm donor profile for a couple should have physical characteristics similar to either of the partners, most preferably the male. The ART specialist and sperm banks find difficulties in selecting donor profile that suitably matches with the requirements of the recipient couple. In this paper, nominal and binary variable methods are applied to identify the donor profiles that match with the requirements of recipient couple. The results are analytically presented and tested under the supervision of experts. It is found that the outcomes are satisfactory compared to manual selection and as a result these techniques can be integrated in designing an expert tool to assist the ART specialist and sperm banks in selecting the best matching donor profiles for recipient couples.

Influence of Reaction Atmosphere (H2O, N2, H2, CO2, CO) on Fluidized-Bed Fast Pyrolysis of Biomass Using Detailed Tar Vapor Chemistry in Computational Fluid Dynamics

Secondary pyrolysis in fluidized bed fast pyrolysis of biomass is the focus of this work. A novel computational fluid dynamics (CFD) model coupled with a comprehensive chemistry scheme (134 species and 4169 reactions, in CHEMKIN format) has been developed to investigate this complex phenomenon. Previous results from a transient three-dimensional model of primary pyrolysis were used for the source terms of primary products in this model. A parametric study of reaction atmospheres (H2O, N2, H2, CO2, CO) has been performed. For the N2 and H2O atmosphere, results of the model compared favorably to experimentally obtained yields after the temperature was adjusted to a value higher than that used in experiments. One notable deviation versus experiments is pyrolytic water yield and yield of higher hydrocarbons. The model suggests a not overly strong impact of the reaction atmosphere. However, both chemical and physical effects were observed. Most notably, effects could be seen on the yield of various compounds, temperature profile throughout the reactor system, residence time, radical concentration, and turbulent intensity. At the investigated temperature (873 K), turbulent intensity appeared to have the strongest influence on liquid yield. With the aid of acceleration techniques, most importantly dimension reduction, chemistry agglomeration, and in-situ tabulation, a converged solution could be obtained within a reasonable time (∼30 h). As such, a new potentially useful method has been suggested for numerical analysis of fast pyrolysis.