A computational study of CO2, N2, and CH4 adsorption in zeolites

The adsorption properties of CO₂, N₂ and CH₄ in all-silica zeolites were studied using molecular simulations. Adsorption isotherms for single components in MFI were both measured and computed showing good agreement. In addition simulations in other all silica structures were performed for a wide range of pressures and temperatures and for single components as well as binary and ternary mixtures with varying bulk compositions. The adsorption selectivity was analyzed for mixtures with bulk composition of 50:50 CO₂/CH₄, 50:50 CO₂/N₂, 10:90 CO₂/N₂ and 5:90:5 CO₂/N₂/CH₄ in MFI, MOR, ISV, ITE, CHA and DDR showing high selectivity of adsorption of CO₂ over N₂ and CH₄ that varies with the type of crystal and with the mixture bulk composition.     

Development and implementation of an IOT based instrumentation system for computing performance of a tractor-implement system

A high precision and compact IOT based digital instrumentation setup to measure, display and record various tractor and implement system performance parameters was developed and installed on a 28.3 kW Tractor. The setup was capable of continuous monitoring and wirelessly transmitting tractor-implement performance parameters on a cloud platform such as engine speed, radiator fan speed, fuel consumption, draft, forward speed, lift arm angle, wheel slip, wheel slip, PTO speed, geo-location/position of the tractor, choking of seeds in the implement and vibrations experienced by the implement. For precision measurements, commercial transducers used in the system were calibrated and assessed under both static and dynamic conditions. The average calibration constant for fuel consumption, forward speed, lift arm angle and load cell were 0.00009804 L/pulse, 0.01610306 km/h/pulse, 0.056 mA/degree and 0.2575 mV/kN respectively. The system based on DataTaker DT 85 Data logger connected to a micro-computer through transducers capable of transferring data wirelessly was installed on John Deere 5038 tractor and was tested with a Spatially Modified No-Till Drill in agricultural field with varied implement depth.     

G. Paul Moore lecture: unifying the disciplines of our voice smorgasbord

A look at the many disciplines working with voice over the past 50 years is provided from the perspective of a speech-language pathologist (SLP). Some of the earliest collaborations between medicine and speech-language pathology were seen in the management of cleft palate and velopharyngeal inadequacy problems and observed, also, in laryngectomee rehabilitation. The earlier concern of the SLP for the emotional and psychological aspects of patients with voice disorders appeared replaced with the rise of symptomatic therapy. Dramatic improvement in instrumentation assisted by computer analyses increased our awareness and understanding of both normal and disordered phonation. Although instrumentation today allows for many forms of visual feedback in voice training and therapy, this may be often at the expense of providing needed kinesthetic-proprioceptive and auditory feedback. Particular voice therapy approaches (cognitive, gestalt-holistic, imagery, resonant therapy, muscle training, and symptomatic therapy) used today are described. Suggestions are given for improving educational requirements and clinical experience in voice for SLPs.     

Theoretical description of a new analytical technique: comprehensive online multidimensional fast Fourier transform separations

Comprehensive multidimensional separations are today dominated by systems that are fundamentally limited to highly asymmetrical online separations sacrificing separation space, or to lengthy, time consuming offline separations. With the exception of pulse-modulated methods, separations have thus been limited to two dimensions. It is proposed that some of the limitations and shortcomings of these methods may be ameliorated or overcome by employing multi-dimensional detection whereby each analyte is effectively labelled in the frequency domain by a series of pulsed-injections, and a symmetrical, comprehensive online analysis performed with the resulting signal processed by sequential Fourier analysis. A semi-empirical computer model of this system was developed and its feasibility positively demonstrated in simulations of high-efficiency separations in two dimensions. Separations of higher dimensionality were shown to be possible but involved signal-processing challenges beyond the present work. By eliminating wrap-around effects and enabling the separation of physically unseparated peaks, the technique facilitates significant improvements in peak capacity per unit of analysis time as well as greatly improved signal to noise ratios. Because these comprehensive online multidimensional Fourier transform separations depend heavily upon the practical lifetime of imposed injection pulses, it is envisaged that this method will leverage emerging high-efficiency micro- and nanoscale separations technologies.     

Determination of the anisotropy constant and saturation magnetization of magnetic nanoparticles from magnetization relaxation curves

We have developed a new method for the determination of the anisotropy constant and saturation magnetization of magnetic nanoparticles. This method deals with the approximation of magnetization relaxation curves measured upon application and further fast switching off the dc magnetizing field. The relaxation process is registered in the time interval from 6 μs to several minutes by using a scanning high-T _C SQUID-microscope equipped with a specially designed electronic circuit composed of a fast solid-state switch and a low-inductance magnetizing coil. The algorithm for calculating the approximation data is based on the activation Néel–Arrhenius law and takes into account the size distribution of the nanoparticles and the angular distribution of their easy axes. The performance of the method is demonstrated on dilute (∼0.2 vol%) ensembles of near-spherical Fe₃O₄ nanoparticles with a mean size of 7.7 nm and a standard deviation of 45% as determined from transmission electron microscopy data.     

大型民机试飞测试发展与挑战

飞行试验是对飞机的性能进行验证和确认的关键阶段,试飞测试是保障该阶段工作的重要内容;国内目前对于军机已拥有了成熟的测试技术、测试方法和可靠的测试设备,而对于民用飞机特别是大型民机的试飞测试目前还处在起步阶段;随着国家大飞机研制专项的不断推近,大型客机试飞测试需求逐步明确;从大型民机试飞测试需求和测试工作特点出发,对机载测试技术变革、遥测和数据处理技术等键技术在国外的最新发展和国内大型飞机的现状进行对比分析,可以看出我国民机试飞测试在网络化机载测试系统应用、遥测传输链路带宽、大数据快速处理等方面存在较大的挑战;在此基础上对应对挑战的发展策略和后续攻关的方向进行研究,可以为我国大型飞机特别是民机试飞测试技术的发展提供参考。      

Microwave field distribution in a magic angle spinning dynamic nuclear polarization NMR probe

We present a calculation of the microwave field distribution in a magic angle spinning (MAS) probe utilized in dynamic nuclear polarization (DNP) experiments. The microwave magnetic field (B(1S)) profile was obtained from simulations performed with the High Frequency Structure Simulator (HFSS) software suite, using a model that includes the launching antenna, the outer Kel-F stator housing coated with Ag, the RF coil, and the 4mm diameter sapphire rotor containing the sample. The predicted average B(1S) field is 13μT/W(1/2), where S denotes the electron spin. For a routinely achievable input power of 5W the corresponding value is γ(S)B(1S)=0.84MHz. The calculations provide insights into the coupling of the microwave power to the sample, including reflections from the RF coil and diffraction of the power transmitted through the coil. The variation of enhancement with rotor wall thickness was also successfully simulated. A second, simplified calculation was performed using a single pass model based on Gaussian beam propagation and Fresnel diffraction. This model provided additional physical insight and was in good agreement with the full HFSS simulation. These calculations indicate approaches to increasing the coupling of the microwave power to the sample, including the use of a converging lens and fine adjustment of the spacing of the windings of the RF coil. The present results should prove useful in optimizing the coupling of microwave power to the sample in future DNP experiments. Finally, the results of the simulation were used to predict the cross effect DNP enhancement (?) vs. ω(1S)/(2π) for a sample of (13)C-urea dissolved in a 60:40 glycerol/water mixture containing the polarizing agent TOTAPOL; very good agreement was obtained between theory and experiment.     

Separations by Random Oracles and “Almost” Classes for Generalized Reducibilities

Let ≤_r and ≤_sbe two binary relations on 2^ℕ which are meant as reducibilities. Let both relations be closed under finite variation (of their set arguments) and consider the uniform distribution on 2^ℕ, which is obtained by choosing elements of 2^ℕ by independent tosses of a fair coin.Then we might ask for the probability that the lower ≤_r‐cone of a randomly chosen set X, that is, the class of all sets A with A ≤_r X, differs from the lower ≤_s‐cone of X. By c osure under finite variation, the Kolmogorov 0‐1 aw yields immediately that this probability is either 0 or 1; in case it is 1, the relations are said to be separable by random oracles.Again by closure under finite variation, for every given set A, the probability that a randomly chosen set X is in the upper ≤_r‐cone of A is either 0 or 1; let Almost_r be the class of sets for which the upper ≤_r‐cone has measure 1. In the following, results about separations by random oracles and about Almost classes are obtained in the context of generalized reducibilities, that is, for binary relations on 2^ℕ which can be defined by a countable set of total continuous functionals on 2^ℕ in the same way as the usual resource‐bounded reducibilities are defined by an enumeration of appropriate oracle Turing machines. The concept of generalized reducibility comprises a natura resource‐bounded reducibilities, but is more general; in particular, it does not involve any kind of specific machine model or even effectivity. The results on generalized reducibilities yield corollaries about specific resource‐bounded reducibilities, including several results which have been shown previously in the setting of time or space bounded Turing machine computations.     

Symbol sense with a symbolic-graphical system: a story in three rounds

The paper consists of a trilogy of high-school teachers solving an algebraic problem while learning to use a Computer Algebra System (CAS) in 1995, 1998, and 2001. The different approaches the teachers used and the ways the symbolic-graphical software influenced their solution process are discussed in terms of theoretical views on “symbol sense,” and regarding the notion of “instrumentation” developed among the CAS-in-education community. Two epistemological perspectives of symbol sense that were involved in the creation of instrumentation schemes were identified: (a) awareness of the special ways that the CAS software utilizes (makes sense of) symbols in algebraic manipulations and in implicit plotting, and (b) the need to make explicit the algebraic interpretations of sophisticated graphs in relation to the context of the problem. Consequently, the instrumentation schemes led to the development of advanced symbol sense.