202,763 research outputs found
Canalirogas van Achterberg & Chen 1996
No full textGenus CANALIROGAS van Achterberg & Chen, 1996 Type species. C. balgooyi Achterberg & Chen, 1996. REMARKS — The type species is known from West Malaysia (type locality), Brunei, east Malaysia (Sabah, Sarawak), China (Guangxi, Hainan), India, Nepal and Indonesia (Bali, Sumatra).Published as part of Quicke, Donald L. J. & Butcher, Buntika A., 2016, A new species of Canalirogas van Achterberg & Chen, 1996 (Hymenoptera: Braconidae: Rogadinae) from Papua New Guinea, pp. 265-274 in Mémoires du Muséum national d'Histoire naturelle 209 on page 26
Perforator flaps for breast reconstruction/ [edited by] Joshua L. Levine, Julie Vasile, Constance M. Chen, Robert J. Allen, Sr.
No full textIncludes bibliographical references and index.The history of the use of perforator flaps for microsurgical breast reconstruction / Sarah E. Appleton and Steven F. Morris -- Starting a perforator flap breast program / Christina R. Vargas and Bernard T. Lee -- Essential equipment needed for perforator flap breast reconstruction and -- Operating room setup / David Greenspun -- Deep inferior epigastric perforator flap for breast reconstruction / Robert J. Allen, Sr., Constance M. Chen, and Maria M. Lotempio -- Superficial inferior epigastric artery flap for breast reconstruction / Aldona J. Spiegel -- Gluteal artery perforator flap for breast reconstruction / Richard Mahlon Kline, Jr., and James Ernest Craigie -- Profunda artery perforator flap for breast reconstruction / Robert J. Allen, Sr., Maria M. Lotempio, and Constance M. Chen -- Free lumbar artery perforator flap for autologous breast reconstruction / Koen Van Landuyt and Steven F. Morris -- Pedicled lateral thoracic flap for breast reconstruction / Moustapha Hamdi and Assaf Zeltzer -- Bipedicled (double or stacked) abdominal perforator flap in unilateral breast -- Reconstruction / Julie V. Vasile and Joshua L. Levine -- Venus salvage procedures in the deep inferior epigastric perforator flap for -- Breast reconstruction / Thomas Constantinescu and Ming-Huei Cheng -- Imaging for perforator flap breast reconstruction / Julie V. Vasile -- Lateral thigh perforator flap (septocutaneous tensor fasciae latae flap) / Stephania Tuinder, Arno Lataster, and Rene Remmelt Willie Johan van der Hulst -- Stacked diep/pap flap breast reconstruction / James L. Mayo and Robert J. Allen, Sr -- Deep circumflex iliac artery perforator flap for breast reconstruction / Edward Buchel -- Indocyanine green/spy imaging in perforator flap breast reconstruction / Michael R. Zenn.1 online resource (x, 144 pages)
Reduced Complexity Single-Carrier Maximum-Likelihood Detection for Decision Feedback Assisted Space-Time Equalization
Get PDFA novel Decision-Feedback (DF) aided reduced complexity Maximum Likelihood (ML) Space-Time Equalizer (STE) designed for single-carrier multiple antenna assisted receivers is introduced. The proposed receiver structure is based on a recursive tree search, which is capable of achieving ML performance at a moderate computational cost and substantially outperforms the linear benchmarker based on the Minimum Mean-Squared Error (MMSE) criterion. Additionally a further complexity reduction scheme is proposed, which exploits the specific characteristics of both the wide-band channel and the proposed DF-STE
[Letter from Arthur S. Rosichan to J. L. Zuber - August 11, 1944]
No full textLetter from Arthur S. Rosichan to J. L. Zuber: August 11, 1944. Subject of the letter is the author moving to Houston to work for the Jewish Community Council
Interphasma marginatum Chen et Zhang 2008
No full textInterphasma marginatum Chen et Zhang, 2008 Type locality: China (Gaoligongshan, Yunnan). TYPE MATERIAL EXAMINED. Holotype – ♂, China: Yunnan, Gaoligongshan, thermal spring, 6.VI 2007, coll. Xing-Rong Gao (BFU).Published as part of Li, B. L., Shi, F. M. & Wang, H. J., 2021, Stick insects of the genus Interphasma Chen et He, 2008 (Phasmida: Phasmatidae) from China, pp. 24-32 in Far Eastern Entomologist 422 on page 30, DOI: 10.25221/fee.422.3, http://zenodo.org/record/716634
Rogasodes Chen and He
No full textRogasodes Chen and He Rogasodes Chen and He 1997, p 88 –89. Previously known only from the type species, Rogasodes masaicus Chen and He; a second species, described below, can be separated using the following key. 1. Fore wing vein cu-a interstitial (Figure 9); second metasomal tergite less than 1.7 times longer than third medially; pterostigma uniformly dirty yellow; mesopleuron and mesosternum pale yellow-brown........ scytaloptericola sp. nov. – Fore wing vein cu-a postfurcal to vein 1-M by approximately three vein widths; second metasomal tergite more than 1.8 times longer than third medially; pterostigma brown with extreme apex yellow; mesopleuron (except spectrum) and mesosternum pitchy brown........ masaicus Chen and HePublished as part of Quicke, Donald L. J. & Shaw, Mark R., 2005, First host records for the rogadine genera Rogasodes Chen and He and Canalirogas van Achterberg and Chen (Hymenoptera: Braconidae) with description of a new species and survey of mummy types within Rogadinae s. str., pp. 3525-3542 in Journal of Natural History 39 (40) on page 3526, DOI: 10.1080/00222930500392782, http://zenodo.org/record/522075
Mathematical analysis and simulation of crop micrometeorology
No full textIn crop micrometeorology the transfer of radiation, momentum, heat and mass to or from a crop canopy is studied. Simulation models for these processes do exist but are not easy to handle because of their complexity and the long computing time they need. Moreover, up to now such models can only be run on mainframe computers. This study aims at developing a more elegant mathematical analysis that both deepens the understanding of the processes involved, and enables the writing of more efficient computer programs.To model the radiation regime, Goudriaan (1977) divided the crop canopy into several layers. The radiation at each layer was classified into downward and upward flux densities, assigned to nine contiguous zones in a hemisphere. Then a set of equations was derived for these radiation components and an efficient iteration method was developed to solve them. The solutions gave a detailed description of the distribution of the radiation in a canopy, from which the zonal reflectance from a canopy can also be obtained. In addition, by computer experimentation a so- called reciprocity relation was found between a direct light source and the reflected radiance from vegetation. This relation has potential applications in remote sensing techniques. Remaining problems are: (a) the computation of the radiation profiles in a canopy needs much execution time; (b) azimuthal variations of bidirectional reflectance from a canopy cannot be simulated; and (c) the mathematical proof of the reciprocity relation was not found.In Chapters 2 and 3, the downward and upward radiation from all directions in a hemisphere are represented by radiation vectors and the interactions of the radiation with a horizontally homogeneous canopy layer are represented by reflectance and transmittance matrices. In Chapter 2, the physical process of the reflection and transmission of radiation by a multi-layer canopy is examined under vector-matrix notation. The radiation vector incident upon the top of a canopy, may be directly reflected from the first layer forming a component of the reflected radiation vector from the top of the canopy; or it may, for instance, be transmitted through the first layer, reflected from the second layer, and transmitted again through the first layer, forming another component of the reflected radiation vector. Not every reflection-transmission series, called a radiation path, results in a component of the reflected radiation vector but there is an infinite number of such paths. It is proven in Chapter 2 that the reciprocity relation holds if each radiation path contributing to the reflection vector can be reversed and also result in a component of the reflected radiation vector. It is shown that this reversibility of the radiation paths is generally true for reflection whereas for transmission a vertically uniform canopy and a black soil surface are required.In Chapter 3, the radiation equations are rewritten as a set of difference equations with vectors as variables and matrices as coefficients. Then two differential equations for downward and upward radiation vectors are derived, where the coefficients are interception, backward and forward scattering matrices, which are the three basic matrices characterizing the interactions of a horizontally homogeneous canopy with radiation vectors. These two differential equations are, in fact, the vector-matrix version of the Kubelka-Munk equations, which are two scalar differential equations for total downward and upward radiation intensities in a canopy with horizontal Lambertian leaves. The extended Kubelka-Munk equations can describe the directional transfer of radiation in a canopy with non-Lambertian leaves and any leaf inclination distribution. This is more realistic than Suits' (1972) model containing, principally, only vertical and horizontal leaves. The azimuthal variations are included by extending the corresponding vectors and matrices. The analytical solutions for profiles of the downward and upward radiation vectors are found by means of a standard matrix method and also the bidirectional reflectance from a canopy is thus obtained. In spite of the availability of the analytical solution to the bidirectional reflectance from a canopy, however, the azimuthal resolution is still restricted by the execution time. Thus, for leaf canopies without azimuthal preference a special method reducing the dimensions of the relevant matrices, and an approximate method based on the radiation path method presented in Chapter 2 are developed. The approximate method allows the resolution of 10 degrees in azimuth as well as in inclination, and calculates the bidirectional reflectance from a canopy within an acceptable execution time.In Chapters 4 to 7, profiles of temperature, humidity, sensible and latent heat flux densities in a canopy are studied in detail. Because the derived equations for sensible and latent heat flux densities are coupled with each other, they must be solved simultaneously. This leads to the following problems: (a) it costs much execution time and space so the program cannot be executed on a microcomputer; (b) distinction of sunlit and shaded leaves within each layer would require to split each layer into several sublayers according to different irradiation levels and thus increase further the execution time and space; (c) the analytical expressions for total sensible and latent heat flux densities above a canopy are not available so that it is not possible to find relationships between the parameters used in the multi-layer model and those used in the single- layer model (Penman- Monteith approach), viz. the canopy resistance and the excess resistance.In Chapter 4, the sensible and latent heat flux densities are replaced by the enthalpy flux density H, which is the sum of the sensible and latent heat flux densities, and by the saturation heat flux density J, which is a weighted difference between the sensible heat flux density and the latent heat flux density. This weight is done in such a way that the resulting equations for H and J are now mutually independent, so that the computation of the relevant profiles is greatly simplified. Two uncoupled electrical analogues for H and J, respectively, are designed, which are the counterparts of the coupled electrical analogue for the sensible and latent heat. The computation of the J profile is further simplified by recurrent formulas. Moreover, in terms of H and J, the well known Penman's formulas are expressed in a unified form applicable to both single- and multi-layer models, which provides a bridge between these two models.In Chapter 5, a method to distinguish sunlit and shaded leaves is developed based on the two uncoupled electrical analogues for H and J and on the recurrent formulas developed in Chapter 4. Goudriaan's (1977) simulation program MICROWEATHER is then rewritten in BASIC. A complete list of the program and the symbols used in the program is given in the Appendix. This program in BASIC gives the same detailed description of the crop micrometeorology as MICROWEATHER does, while it can be executed on a microcomputer. The agreement between the results of these twoprograms is good.In Chapter 6, Monteith's (1963) extrapolation method to obtain representative surface values of temperature and vapour pressure is extended by replacing the vapour pressure profile by the dew- point temperature profile. Thus, the canopy resistance can be obtained directly by graphical means. Two basic parameters of the single-layer model, the canopy resistance and the excess resistance, are clearly presented in this way.In Chapter 7, the canopy resistance and the excess resistance are calculated from the parameters used in the multi-layer model by means of the unified Penman's formulas developed in Chapter 4. The formulas derived for these two resistances show that both of them contain aerodynamic and physiological components. It is shown that however, for a dense canopy with a dry soil surface, the canopy resistance contains mainly physiological components and is approximately equal to the resistance value calculated as all stomatal resistances of the leaves connected in parallel; the excess resistance contains mainly aerodynamic components and is a simple function of the friction velocity. In this case, therefore, the canopy resistance and the excess resistance can be estimated easily in 'terms of the parameters used in the multi-layer model.In the discussion in Chapter 8, it is emphasized that the method to calculate bidirectional reflectance from a canopy developed in Chapter 3 can have important applications in remote sensing of vegetation, because it allows to study the effects of different leaf inclination distributions and non-Lambertian leaves. The results should be compared with data sets on the bidirectional reflectance from various vegetation canopies to see the practical significance of these two factors. The simulation program for crop micrometeorology developed for microcomputers (Chapter 5) can be used for short grass, where Goudriaan's MICROWEATHER has difficulties with the execution time caused by the small time coefficient of the model. The model can be further developed to simulate the evapo-transpiration from a canopy wetted by rainfall, and it could be incorporated into a pest and plant disease model. The results obtained on the canopy resistance and excess resistance (Chapter 7) justify the applicability of the single-layer model for a dense canopy. But for a sparse canopy the influence of the soil surface cannot be neglected, and the double-layer model one represents the canopy and the other represents the soil surface should be used. This version of the micrometeorological simulation program may be included in a crop growth model such as BACROS (de Wit et al., 1978)
Evidence for the decay B0→J/ψω and measurement of the relative branching fractions of meson decays to J/ψη and J/ψη′
Get PDFFirst evidence of the B 0 → J / ψ ω decay is found and the B s 0 → J / ψ η and B s 0 → J / ψ η ′ decays are studied using a dataset corresponding to an integrated luminosity of 1.0 fb -1 collected by the LHCb experiment in proton-proton collisions at a centre-of-mass energy of sqrt(s) = 7 TeV. The branching fractions of these decays are measured relative to that of the B 0 → J / ψ ρ 0 decay:frac(B (B 0 → J / ψ ω), B (B 0 → J / ψ ρ 0)) = 0.89 ± 0.19 (stat) - 0.13 + 0.07 (syst),frac(B (B s 0 → J / ψ η), B (B 0 → J / ψ ρ 0)) = 14.0 ± 1.2 (stat) - 1.5 + 1.1 (syst) - 1.0 + 1.1 (frac(f d, f s)),frac(B (B s 0 → J / ψ η ′), B (B 0 → J / ψ ρ 0)) = 12.7 ± 1.1 (stat) - 1.3 + 0.5 (syst) - 0.9 + 1.0 (frac(f d, f s)), where the last uncertainty is due to the knowledge of f d / f s, the ratio of b-quark hadronization factors that accounts for the different production rate of B 0 and B s 0 mesons. The ratio of the branching fractions of B s 0 → J / ψ η ′ and B s 0 → J / ψ η decays is measured to befrac(B (B s 0 → J / ψ η ′), B (B s 0 → J / ψ η)) = 0.90 ± 0.09 (stat) - 0.02 + 0.06 (syst)
Blind joint maximum likelihood channel estimation and data detection for SIMO systems
No full textA blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of single-input multiple-output (SIMO) systems. The joint ML optimisation over channel and data is decomposed into an iterative optimisation loop. An efficient global optimisation algorithm called the repeated weighted boosting search is employed at the upper level to optimally identify the unknown SIMO channel model, and the Viterbi algorithm is used at the lower level to produce the maximum likelihood sequence estimation of the unknown data sequence. A simulation example is used to demonstrate the effectiveness of this joint ML optimisation scheme for blind adaptive SIMO systems
Data for Chen et al. 2019 JGR-Planets.zip
No full textAll data that went into the paper
"Petrogenesis and shock metamorphism of basaltic lunar meteorites
Northwest Africa 4734 and 10597".Citation:Chen, J., Jolliff, B. L., Wang, A.,
Korotev, R. L., Wang, K., Carpenter, P. K., Chen, H., et al., (2019),
Petrogenesis and shock metamorphism of basaltic lunar meteorites Northwest
Africa 4734 and 10597. submitted to Journal of Geophysical Research: Planets.
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