Final Fraction Research Articles

How punishment and memory mechanism affect cooperative emergence in prisoner’s dilemma game

To remember or forget our acquaintances’ strategies can influence our decision-making significantly. In this paper, we explore the evolutionary prisoner’s dilemma (PD) game model with punishment and memory mechanism in the time-varying network. Our results show that a larger temptation gain [Formula: see text] or a larger the number of connected edges of activated individuals [Formula: see text] would result in the decrease of the final fraction of cooperators. However, with the increase of the maximum penalty cost, the maximum punishment intensity or the value of individual’s “memory factor”, players are more inclined to choose cooperative strategy. In addition, an effective way to promote the cooperation is to improve the social subsidy. Remarkably, only when the social subsidy is greater than the temptation gain, the density of cooperators could increase significantly. Interestingly, there is a linear relationship between the threshold of social subsidy and the temptation gain. The final results show that ones’ activity rates have no significant correlation with their strategies.

Analytical Modeling of the Temporal Evolution of Epidemics Outbreaks Accounting for Vaccinations

With the vaccination against Covid-19 now available, how vaccination campaigns influence the mathematical modeling of epidemics is quantitatively explored. In this paper, the standard susceptible-infectious-recovered/removed (SIR) epidemic model is extended to a fourth compartment, V, of vaccinated persons. This extension involves the time t-dependent effective vaccination rate, v(t), that regulates the relationship between susceptible and vaccinated persons. The rate v(t) competes with the usual infection, a(t), and recovery, μ(t), rates in determining the time evolution of epidemics. The occurrence of a pandemic outburst with rising rates of new infections requires k+b<1−2η, where k=μ(0)/a(0) and b=v(0)/a(0) denote the initial values for the ratios of the three rates, respectively, and η≪1 is the initial fraction of infected persons. Exact analytical inverse solutions t(Q) for all relevant quantities Q=[S,I,R,V] of the resulting SIRV model in terms of Lambert functions are derived for the semi-time case with time-independent ratios k and b between the recovery and vaccination rates to the infection rate, respectively. These inverse solutions can be approximated with high accuracy, yielding the explicit time-dependences Q(t) by inverting the Lambert functions. The values of the three parameters k, b and η completely determine the reduced time evolution of the SIRV-quantities Q(τ). The influence of vaccinations on the total cumulative number and the maximum rate of new infections in different countries is calculated by comparing with monitored real time Covid-19 data. The reduction in the final cumulative fraction of infected persons and in the maximum daily rate of new infections is quantitatively determined by using the actual pandemic parameters in different countries. Moreover, a new criterion is developed that decides on the occurrence of future Covid-19 waves in these countries. Apart from in Israel, this can happen in all countries considered.

Phase transformation testing and modeling for hot stamping of boron steel considering the effect of the prior austenite deformation

Hot stamping of boron steels is a thermal-mechanical and phase transformation coupled process. The phase transformation of boron steels during continuous cooling is a complex process since the phase transformation is tightly coupled with plastic deformation during the hot stamping process. In the present work, the effects of hot deformation amount, deformation temperature, and strain rate on phase transformation are investigated by using a comprehensive set of methods including in-situ isothermal tensile tests combined with dilatometry and ex-situ microstructure characterization. The dilatation curves, phase fraction evolution curves, continuous cooling transformation (CCT), and deformed continuous cooling transformation (DCCT) diagrams are constructed. Finally, based on the testing results, a new non-isothermal kinetic model of phase transformation are proposed to introduce the effect of the austenite deformation on transformation during the continuous cooling. The proposed model is validated by testing Vickers hardness of DCCT specimens and hot stamping W-channel parts. The results demonstrate that the deformation accelerates the diffusive phase transformation, causing the CCT curves to move in the direction of shorter incubation time. But the acceleration of diffusion transformation is rapidly saturated as the plastic strain increases. Lower deformation temperature and higher strain rate are more favorable to the diffusion phase transformation, and the higher the critical cooling rate of the martensite transformation is needed. The proposed kinetic model not only accurately predicts the final phase fraction and hardness of the DCCT specimen, but also the distribution of mechanical properties of the hot stamping W-channel parts.

DEM study of packing and connectivity of binary-sized pebbles according to their size and mixing ratios under vibration conditions

In the breeding zone of solid-type blankets, the packing configurations of pebble beds significantly affect the efficiency of thermal energy transfer to the coolant and tritium recovery by purge gas. Binary-sized pebbles with significant size difference can be used to increase the number of contacts between them, thereby increasing the efficiency of heat transfer in the breeding zone. In this study, we simulate a packing process of mono- and binary-sized pebble beds using the discrete element method. Vibrations at a constant frequency are imposed to enhance the connectivity of pebbles, and periodic boundary conditions are applied to mimic the dynamic behavior of a large number of pebbles while reducing computational burden. Subsequently, the final packing fractions of the pebble beds are analyzed according to the size and volume ratios of binary-sized pebbles as well as the vibration frequency and direction of pebble beds. The results reveal that a more significant difference in pebble size generally leads to a higher packing fraction; however, this trend is governed by the volume mixing ratio of binary-sized pebbles and the vibration conditions. For binary-sized pebble beds, the vibration frequency yields no significant change in the packing fractions but causes pebble segregation because of the significant difference in pebble size. Furthermore, we discover that the vertical vibration of a bottom wall can reduce the segregation more effectively than the horizontal vibration of lateral walls. By contrast, the packing of mono-sized pebbles is extremely sensitive to the vibration frequency. Moreover, the pebble connectivity is investigated in terms of the effective thermal conductivity calculated considering heat conduction through the contact area between the pebbles. The effective thermal conductivity of binary-sized pebble beds decreases as the pebble size difference decreases and the vibration frequency increases. For mono-sized pebble beds, the effective thermal conductivity can be extremely high or low depending on the vibration.

The Structure and Composition of Extracted Pectin and Residual Cell Wall Material from Processing Tomato: The Role of a Stepwise Approach versus High-Pressure Homogenization-Facilitated Acid Extraction.

In literature, different pectin extraction methods exist. In this study, two approaches starting from the alcohol-insoluble residue (AIR) of processing tomato are performed in a parallel way to facilitate the comparison of pectin yield and the compositional and structural properties of the extracted pectin and residual cell wall material obtained. On the one hand, pectin is extracted stepwise using hot water, chelating agents and low-alkaline conditions targeting fractionation of the pectin population. On the other hand, an industrially relevant single-step nitric acid pectin extraction (pH 1.6) is performed. In addition to these conventional solvent pectin extractions, the role of high-pressure homogenization (HPH) as a physically disruptive treatment to facilitate further pectin extraction from the partially pectin-depleted fraction obtained after acid extraction is addressed. The impact of HPH on the pectin cell wall polysaccharide interactions was shown as almost two thirds of the residual pectin were extractable during the subsequent extractions. For both extraction approaches, pectin obtained further in the sequence was characterized by a higher molecular mass and a higher amount of rhamnogalacturonan I domains. The estimated hemicellulose and cellulose content increased from 56 mol% for the AIR to almost 90 mol% for the final unextractable fractions of both methods.

The Effect of Inefficient Accretion on Planetary Differentiation

Abstract Pairwise collisions between terrestrial embryos are the dominant means of accretion during the last stage of planet formation. Hence, their realistic treatment in N-body studies is critical to accurately model the formation of terrestrial planets and to develop interpretations of telescopic and spacecraft observations. In this work, we compare the effects of two collision prescriptions on the core−mantle differentiation of terrestrial planets: a model in which collisions are always completely accretionary (“perfect merging”), and a more realistic model based on neural networks that has been trained on hydrodynamical simulations of giant impacts. The latter model is able to predict the loss of mass due to imperfect accretion and the evolution of nonaccreted projectiles in hit-and-run collisions. We find that the results of the neural network model feature a wider range of final core mass fractions and metal−silicate equilibration pressures, temperatures, and oxygen fugacities than the assumption of perfect merging. When used to model collisions in N-body studies of terrestrial planet formation, the two models provide similar answers for planets more massive than ≈0.1 M ⊕ (Earth masses). For less massive final bodies, however, the inefficient-accretion model predicts a higher degree of compositional diversity. This phenomenon is not reflected in planet formation models of the solar system that use perfect merging to determine collisional outcomes. Our findings confirm the role of giant impacts as important drivers of planetary diversity and encourage a realistic implementation of inefficient accretion in future accretion studies.

Fractionation, Chemical Analysis, and In Vitro Testing Identify Bioactive Components in MC252 Crude Oil

Abstract Crude oil is a complex mixture that includes polycyclic aromatic hydrocarbons (PAHs) as one of its major components. The toxicity of some chemically substituted PAHs found in oil, such as the methylated species, are relatively understudied. A combination of chemical fractionation and analysis coupled with a bioassay was used to identify a subset of oil PAHs that activated aryl hydrocarbon receptor (AHR). Silica gel chromatography was used for primary and secondary oil fractionation, and standard and reverse phase high performance liquid chromatography (HPLC) were used for the final fractionation steps. Both gas chromatography (GC-) and HPLC-coupled with mass spectrometry (MS) were used to separate and identify compounds present in the petroleum fractions. Bioactivity of the individual fractions was identified and measured using a recombinant yeast strain that expressed the human aryl hydrocarbon receptor complex (AHRC) transcription factor that is composed of human AHR and the ARNT proteins. AHRC activation by oil components results in expression of β-galactosidase, and readout from this enzymatic activity is proportional to the amount and potency of the compounds that activated the system. Silica gel separations produced 25–29 fractions that were assessed for bioactivity using the AHRC reporter system. Bioactivity peaked with the fractions that contained larger PAHs that included four ring compounds such as the triphenylenes, benzanthracenes, and chrysenes (MW 228 + additional methyl groups). When tested as individual compounds, the triphenylenes and benzanthracenes were less potent than the chrysenes, so the latter constituted more of the AHRC signaling activity in the oil fractions. The chrysenes in bioactive fractions were mixtures of the parent compound along with mono-, di-, tri-, and tetra-methyl derivatives and other PAHs. The six possible mono-methylchrysenes were obtained and tested for AHRC activity and for their concentrations in oil. Chrysene, 1-, 2-, 3-, and 6-methylchrysene were present, but 4- and 5-methylchrysene were not detected in the bioactive fractions of oil that were resolved by HPLC. When tested individually in the AHRC bioassay, 4-methylchrysene was the most potent ligand, and 5-methylchrysene was the least potent. Synthetic mixtures of PAHs were reconstructed based upon the chemical composition of one fraction with the high AHRC activity. Collectively, these data show that: 1) the six methylchrysene isomers are within an order of magnitude of chrysene in their ability to activate the AHRC bioassay; 2) although they are a minor group, the chrysene compounds in oil potently activate AHRC signaling; 3) chrysenes diminish as oil weathers, while triphenylenes of identical molecular weight persist, 4) this methodology can be useful for identification and characterization of the bioactivity of sub-fractions and individual compounds found in oil.

Molecular properties of the Humeome of two calcareous grassland soils as revealed by GC/qTOF-MS and NMR spectroscopy

A Humeomic fractionation revealed the humus molecular composition of two uncropped calcareous soils of Northern France and differentiated the soils Humeome by extracting humic components first unbound to the organo-mineral matrix and then liberated from their progressively stronger intermolecular and intramolecular ester and ether linkages. We separated organo- (ORG1-3) and water-soluble (AQU2 and AQU4) fractions, a final extractable fraction (RESOM) and soil residues. Organo-soluble fractions were studied by GC coupled with high-resolution mass spectrometry (GC/qTOF-MS), all fractions underwent mono- and two-dimensional liquid-state NMR (except for the iron-rich AQU4 fraction), while solid-state 13C-CPMAS-NMR spectroscopy analyzed soil residues. The Calcaric Leptosol (A) showed a larger mass extraction than the Calcaric Cambisol (B), and a greater cumulative C and N content in its Humeome. Both soils showed the greatest weight yield for AQU4 fraction, followed by ORG2, RESOM, ORG1, AQU2, and ORG3. ORG2 was the most differentiating fraction between the two soils for both compound concentration and diversity, showing a larger C content for soil A than for soil B and a different distribution in aromatic compounds, fatty acids, and dicarboxylic acids. No significant differences between soils were found for ORG 3, suggesting similar processes of OM stabilization for its recalcitrant components, mostly hydrophobic esters of alkanoic, hydroxy, and aromatic acids with linear alkanols. We confirmed that Humeomic fractionation coupled to advanced analytical instrumentations enabled a detailed molecular characterization of the soil Humeome and differentiated between the two calcareous grassland soils and the other soils previously subjected to Humeomics.

Optimization of the CCT Curves for Steels Containing Al, Cu and B

New continuous cooling transformation (CCT) equations have been optimized to calculate the start temperatures and critical cooling rates of phase formations during austenite decomposition in low-alloyed steels. Experimental CCT data from the literature were used for applying the recently developed method of calculating the grain boundary soluble compositions of the steels for optimization. These compositions, which are influenced by solute microsegregation and precipitation depending on the heating/cooling/holding process, are expected to control the start of the austenite decomposition, if initiated at the grain boundaries. The current optimization was carried out rigorously for an extended set of steels than used previously, besides including three new solute elements, Al, Cu and B, in the CCT-equations. The validity of the equations was, therefore, boosted not only due to the inclusion of new elements, but also due to the addition of more low-alloyed steels in the optimization. The final optimization was made with a mini-tab tool, which discarded statistically insignificant parameters from the equations and made them prudently safer to use. Using a thermodynamic-kinetic software, IDS, the new equations were further validated using new experimental CCT data measured in this study. The agreement is good both for the phase transformation start temperatures as well as the final phase fractions. In addition, IDS simulations were carried out to construct the CCT diagrams and the final phase fraction diagrams for 17 steels and two cast irons, in order to outline the influence of solute elements on the calculations and their relationship with literature recommendations.

Flow Measurement Optimization Using Surface Measurements and Downhole Sound Speed Measurements from Local or Distributed Acoustic Sensors

Summary The litmus test for downhole multiphase flowmeters is to compare the measured phase flow rates with the rates from a test separator or other surface measurement systems. In most cases, the composition of the measurand is required for flowmeters. This is typically obtained from bottomhole fluid samples. Extracting and analyzing fluid samples is an expensive process mostly done at the initial stages of field development. In some cases, the composition may be old or unavailable, leading to subpar flowmeter performance compared to surface systems. In this work, it is shown that when the data from a surface system such as a test separator are used in conjunction with the mixture sound speed measured downhole, it is possible to optimize a downhole multiphase flowmeter system without obtaining new fluid samples. The optimization process is independent of the downhole measurement device because the required flow-velocity and sound-speed measurements may be obtained from separate devices. For example, the fluid bulk velocity and mixture sound speed can be measured by a local measurement device and a distributed acoustic sensing (DAS) system, respectively. The main challenge in a flow-velocity/sound-speed measurement system is determining individual phase sound speeds so that the mixture phase fraction can be correctly determined using Wood’s mixture sound speed model. The phase fraction from the separator tests can be used as the target value to optimize the performance of the system. The system has two operation modes. In optimization mode, the individual phase sound speeds are calculated backward using the predicted phase fractions from surface measurements. Pressure and temperature variations at measurement locations, as well as pipe compliance effects, are accounted for during the process. After the adjustment of individual phase sound speeds, steady-state operation mode takes over, and a forward calculation is implemented using the same model. The final phase fraction agrees well with the actual value and can be improved further with an iterative approach. This novel method is demonstrated in a North Sea case history. A downhole optical flowmeter in a North Sea field measured mixture velocity and sound speed. Well-test results indicated that water cut from the flowmeter was underreported and phase flow rates did not match test-separator rates. Instead of halting production and going through a fluid sample analysis cycle, the test-separator water cut was used as the target value to optimize oil phase sound speed using Wood’s model in the optimization mode. The difference between the initial and optimized oil sound speeds was extrapolated to other pressure and temperature conditions, and steady-state operation mode showed that separator tests and flowmeter measurements closely matched. Subsequent flowmeter and test-separator data confirmed excellent agreement. Using surface measurements and downhole mixture sound speed to optimize phase flow rates is a novel method that has not been previously demonstrated. This method is independent of device type, is broadly applicable, and improves the understanding of multiphase flow measurement.

Heterogeneity and superspreading effect on herd immunity

We model and calculate the fraction of infected population necessary to reach herd immunity, taking into account the heterogeneity in infectiousness and susceptibility, as well as the correlation between those two parameters. We show that these cause the effective reproduction number to decrease more rapidly, and consequently have a drastic effect on the estimate of the necessary percentage of the population that has to contract the disease for herd immunity to be reached. We quantify the difference between the size of the infected population when the effective reproduction number decreases below 1 vs the ultimate fraction of population that had contracted the disease. This sheds light on an important distinction between herd immunity and the end of the disease and highlights the importance of limiting the spread of the disease even if we plan to naturally reach herd immunity. We analyze the effect of various lock-down scenarios on the resulting final fraction of infected population. We discuss implications to COVID-19 and other pandemics and compare our theoretical results to population-based simulations. We consider the dependence of the disease spread on the architecture of the infectiousness graph and analyze different graph architectures and the limitations of the graph models.

VOLCO-X: Numerical simulation of material distribution and voids in extrusion additive manufacturing

Parts produced by additive manufacturing have final characteristics (such as mechanical properties and dimensional accuracy) strongly dependent on how material is deposited during production. This study presents a modelling concept called VOLCO-X (VOLume COnserving model - eXtended version), which extends a recently developed simulation technique to be able to accurately simulate deposited structures that were not possible with the previous model. A major advantage of the proposed modelling approach is that it does not require any experimental calibration or fitting. The modelling approach is based on a principle of conservation of volume in a voxelized space, in conjunction with a new deposition modelling concept that re-distributes the deposited material when neighboring filaments are in contact. In addition, an acceleration-dependent extrusion rate correction was implemented in the software to predict changes in the material distribution as function of the printing speed, as well as a mechanism to effectively consider possible asymmetry of deposited filaments. The model is shown to accurately predict the geometry and porosity of specimens manufactured by Fused Filament Fabrication (FFF) with varied printing speeds, distance between filaments and extrusion widths. The numerical results correlated well with validation experiments, being able to capture the transition from triangle to diamond void shapes and to predict defects observed in printed parts. VOLCO-X could simulate printing conditions from fully dense structures to under-extruded structures with gaps. It has potential to aid in the design of functional printed parts by predicting the final dimensions, void shapes and void volume fraction of 3D printed parts, and represents an important step towards enabling the predictive simulation of full-sized parts.

Treating Glioblastoma Multiforme (GBM) with super hyperfractionated radiation therapy: Implication of temporal dose fractionation optimization including cancer stem cell dynamics.

PurposeA previously developed ordinary differential equation (ODE) that models the dynamic interaction and distinct radiosensitivity between cancer stem cells (CSC) and differentiated cancer cells (DCC) was used to explain the definitive treatment failure in Glioblastoma Multiforme (GBM) for conventionally and hypo-fractionated treatments. In this study, optimization of temporal dose modulation based on the ODE equation is performed to explore the feasibility of improving GBM treatment outcome.MethodsA non-convex optimization problem with the objective of minimizing the total cancer cell number while maintaining the normal tissue biological effective dose (BEDnormal) at 100 Gy, equivalent to the conventional 2 Gy × 30 dosing scheme was formulated. With specified total number of dose fractions and treatment duration, the optimization was performed using a paired simulated annealing algorithm with fractional doses delivered to the CSC and DCC compartments and time intervals between fractions as variables. The recurrence time, defined as the time point at which the total tumor cell number regrows to 2.8×109 cells, was used to evaluate optimization outcome. Optimization was performed for conventional treatment time frames equivalent to currently and historically utilized fractionation schemes, in which limited improvement in recurrence time delay was observed. The efficacy of a super hyperfractionated approach with a prolonged treatment duration of one year was therefore tested, with both fixed regular and optimized variable time intervals between dose fractions corresponding to total number of fractions equivalent to weekly, bi-weekly, and monthly deliveries (n = 53, 27, 13). Optimization corresponding to BEDnormal of 150 Gy was also obtained to evaluate the possibility in further recurrence delay with dose escalation.ResultsFor the super hyperfractionated schedules with dose fraction number equivalent to weekly, bi-weekly, and monthly deliveries, the recurrence time points were found to be 430.5, 423.9, and 413.3 days, respectively, significantly delayed compared with the recurrence time of 250.3 days from conventional fractionation. Results show that optimal outcome was achieved by first delivering infrequent fractions followed by dense once per day fractions in the middle and end of the treatment course, with sparse and low dose treatments in the between. The dose to the CSC compartment was held relatively constant throughout while larger dose fractions to the DCC compartment were observed in the beginning and final fractions that preceded large time intervals. Dose escalation to BEDnormal of 150 Gy was shown capable of further delaying recurrence time to 452 days.ConclusionThe development and utilization of a temporal dose fractionation optimization framework in the context of CSC dynamics have demonstrated that substantial delay in GBM local tumor recurrence could be achieved with a super hyperfractionated treatment approach. Preclinical and clinical studies are needed to validate the efficacy of this novel treatment delivery method.

Direct numerical simulation of bidisperse inertial particles settling in turbulent channel flow

The behavior of settling velocity and clustering of bidisperse inertial particles in a turbulent channel flow is investigated through direct numerical simulation. The particle-laden planar channel flow has a friction Reynolds number at Reτ = 180. Eulerian–Lagrangian method is used to study the dynamic properties of bidisperse and monodisperse inertial particles with 16 different simulation sets, which are distinguished by Stokes numbers ranging from St+ = 1.31 to 52.58 and particle number ratio from 1:1 to 1:8. Momentum exchange between fluid and particle phases is considered in the simulation as the chosen initial volume fraction at 5 × 10−5 is in the two-way coupling regime. The gravity is set at the direction normal to both the wall normal direction and the streamwise direction. We observe that in the bidisperse cases the turbophoresis effect of inertial particles with the smaller diameter is significant even though it is very weak in the corresponding monodisperse cases. We use radial distribution function (RDF) to investigate the degree of clustering and turbophoresis. The results indicate that RDF is larger in the bidisperse cases for both large and small particles and it is greatly affected by the bulk particle number ratio and the Stokes number ratio. Unlike clustering, the terminal settling velocities of inertial particles in the bidisperse cases are affected by the final volume fraction at the dynamic equilibrium state. When their final volume fractions are lower than those in the corresponding monodisperse cases, the settling velocity of either particle becomes reduced from the monodisperse value. We also investigate the relationship between settling velocity and vortex strength. The results show that the preferential sweeping mechanism is strengthened with Stokes number decreasing and the mechanism can be quantified by the slope of the curve of settling velocity variation with vortex strength.

Geochemical fractionation of radiocesium in coral atoll soil

This study investigates the fractionation of 137Cs across the geological phases of coral soils using a sequential extraction scheme. For three of the four soil samples analyzed, the largest fraction of radiocesium (70–80%) was associated with the final fraction or “acid-soluble” phase of soil, which would typically include clays and other refractory minerals that are difficult to destroy. This is common behavior for radiocesium due to its strong affinity for clays, but surprising here because these primarily calcium carbonate soils contain very minimal amounts of such minerals.

Full crystallographic orientation (<i>c</i> and <i>a</i> axes) of warm, coarse-grained ice in a shear-dominated setting: a case study, Storglaciären, Sweden

Abstract. Microstructures provide key insights into understanding the mechanical behavior of ice. Crystallographic preferred orientation (CPO) develops during plastic deformation as ice deforms dominantly by dislocation glide on the basal plane, modified and often intensified by dynamic recrystallization. CPO patterns in fine-grained ice have been relatively well characterized and understood in experiments and nature, whereas CPO patterns in “warm” (T>-10∘C), coarse-grained, natural ice remain enigmatic. Previous microstructural studies of coarse-grained ice have been limited to c-axis orientations using light optical measurements. We present the first study of a axes as well as c axes in such ice by application of cryo-electron backscatter diffraction (EBSD) and do so in a shear-dominated setting. We have done this by developing a new sample preparation technique of constructing composite sections, to allow us to use EBSD to obtain a representative, bulk CPO on coarse-grained ice. We draw attention to the well-known issue of interlocking grains of complex shape and suggest that a grain sampling bias of large, branching crystals that appear multiple times as island grains in thin sections may result in the typical multimaxima CPOs previously identified in warm, coarse-grained ice that has been subjected to prolonged shear. CPOs combined from multiple samples of highly sheared ice from Storglaciären provide a more comprehensive picture of the microstructure and yield a pronounced cluster of c axes sub-normal to the shear plane and elongate or split in a plane normal to the shear direction as well as a concomitant girdle of a axes parallel to the shear plane with a maximum perpendicular to the shear direction. This pattern compares well with patterns produced by subsampling datasets from ice sheared in laboratory experiments at high homologous temperatures up to strains of ∼1.5. Shear strains in the margin of Storglaciären are much higher than those in experimental work. At much lower natural strain rates, dynamic recrystallization, particularly grain boundary migration, may have been more effective so that the CPO represents a small, final fraction of the shear history. A key result of this study is that multimaxima CPOs in coarse-grained ice reported in previous work may be due to limited sample sizes and a sampling bias related to the presence of island grains of a single host that appear several times in a thin section.

Effects of seeds on cooperate epidemic spreading on complex networks

We study the impact of seeds on cooperate epidemic spreading on complex networks. A cooperative spreading model is proposed, in which two diseases are spreading simultaneously. Once the nodes are infected by one disease, they will have a larger probability of being infected by the other. Besides, we adopt five different selection strategies to choose the seeds, and the set size of seeds is fixed at five nodes. Through extensive Monte Carlo simulations, we find that the final fraction of nodes that have been infected by one or both diseases display continuous phase transition on both synthetic networks and real-world networks, and the selection strategy does not alter the transition type. Besides, we find that the eigenvector centrality promotes the cooperative spreading on the artificial network, and the degree centrality promotes the spreading of the two cooperative diseases on the real-world networks. The results of this study are of great significance for the development of the targeted strategies of disease control.

Transmission Mechanism and Influencing Factors of Green Behavior in Dynamic Multiplex Networks

With the global warming, soil erosion and a series of environmental problems are worsening. Green sustainable development has increasingly become a major issue of human concern. This study established a dynamic interaction model to explore the influence of green information and the social relations. Due to the continuous evolution of the network and the heterogeneity of individuals, the transition probability of each node is combined with time-varying parameters that reflect its current state. Then, guided by hypernetwork theory and microscopic Markov chain approach, this model is analyzed. Furthermore, the effects of various adjustment parameters on the green behaviors are compared and tested. The results show that behavior diffusion is not only affected by the diffusion of green information, but also closely related to the change of social relations. Finally, combined with the diffusion of green information, a propagation mechanism that simulates damped harmonic motion is proposed to maximize the green behavior. The results show that the final practice fraction of green behavior has been significantly improved.

Exploring lanthanide separations using Eichrom’s Ln Resin and low-pressure liquid chromatography

Analytical methods for separating individual lanthanide elements from each other are needed to support various scientific fields. This work reports a systematic evaluation of analytical separations using Eichrom Industries Ln resin and simple peristaltic pump fed low-pressure chromatography columns. Systematic studies of isocratic elutions over a range of acid concentrations (0.10 to 0.25 M HNO3) and column lengths (15 to 45 cm) show that with careful selection of the separation conditions baseline separation of the majority of the lanthanide elements can be achieved, with the exception Nd, Pr, Pm and Ce which co-elute at low acid concentrations. The employment of a novel Ce3+/Ce4+ oxidation–reduction approach using NaBrO3 and ascorbic acid enables isolation of Ce, however baseline separation of Nd, Pr and Pm could not be accomplished using Ln resin, simple acids, and low-pressure chromatography. A method for rapid separation and preconcentration of fission product lanthanides is also reported based upon the optimized conditions identified in this work; the separation approach enables isolation of lanthanide isotopes in high purity and chemical yield, with final elution fraction volumes of 4 mLs

Dynamics of photodissociation of nitric oxide from S-nitrosylated cysteine and N-acetylated cysteine derivatives in water.

Cysteine and N-acetylated cysteine derivatives are ubiquitous in biological systems; they have thiol groups that bind NO to form S-nitrosothiols (RSNOs) such as S-nitrosocysteine (CySNO), S-nitroso-N-acetylcysteine (NacSNO), and S-nitroso-N-acetylpenicillamine (NapSNO). Although they have been utilised as thermally or catalytically decomposing NO donors, their photochemical applications are yet to be fully explored owing to the lack of photodissociation dynamics. To this end, the photoexcitation dynamics of these RSNOs in water at 330 nm were investigated using femtosecond time-resolved infrared (TRIR) spectroscopy over a broad time range encompassing the entire reaction, which includes the primary reaction, secondary reactions of the reaction intermediates, and product formation. We discovered that the acetate and amide groups in these RSNOs have strong vibrational bands sensitive to the bondage of NO and the electronic state of the compound, which facilitates the identification of reaction intermediates involved in photoexcitation. The simplest thiol available with the acetate group-thioglycolic acid-was nitrosylated; it produced S-nitrosothioglycolic acid (TgSNO) and was comparatively investigated. Transient absorption bands in the TRIR spectra of the RSNOs were assigned using quantum chemical calculations. Photoexcited cysteine-related RSNOs either decompose into RS and NO within 0.3 ps after excitation at 330 nm with a primary quantum yield (Φ1) of 0.46-1 or relax into an electronically excited intermediate state lying at 42 ± 3 kcal mol-1 above the ground state, which relaxes into the ground state with a time constant of 460-520 ps. A majority (62-80%) of the RS radical geminately rebinds with NO at a time constant of 3-7 ps. The remaining RS reacts with the neighbouring RSNO, which produces additional NO and RSSR with a (nearly) diffusion-limited rate constant that doubles the amount of NO produced; further, it remarkably extends the time window for the dissociated NO to react with the target compound. The final fraction of NO produced from these RSNOs at 330 nm was 0.32-0.58, and it depends on the geminate rebinding yield and Φ1. The detailed dynamics of the photoexcited RSNO can be utilised in the quantitative application of these RSNOs in practical use and in the synthesis of more efficient photoactivated NO precursors.