The deformation of a leaf is the aggregation of the deformation of all the cells on the leaf. Mesophyll cells and vascular bundle cells have distinctly different degree of rigidity for shrinkage. In order to simulate the deformation of an autumn leaf realistically we need the realistic venation distribution of the leaf. We modify Runions’s technique [Runions et al. 2005] by increasing the growi...

Copper, cadmium, and phthalic acid (H2Lp) adsorption by ferrihydrite was examined for binary and ternary systems. In binary systems adsorption was well reproduced using the diffuse layer model (DLM), and H2Lp adsorption was analogous to that of inorganic diprotic acids in terms of the relationship between the adsorption constants and acidity constants. In ternary systems H2Lp caused both the en...

By studying the effects of mutations on a simple circuit of identified neurons in Drosophila, we have found genes whose proper functioning is necessary to produce normal synaptic connections between the neurons. These neurons comprise the giant fiber (GF) system; the GFs are command neurons activated by a light-off stimulus and evoke a stereotyped pattern of activity in the thoracic muscles pro...

Local search techniques have attracted considerable interest in the Artificial Intelligence (AI) community since the development of GSAT [9] and the min-conflicts heuristic [5] for solving large propositional satisfiability (SAT) problems and binary Constraint Satisfaction Problems (CSPs) respectively. Newer SAT techniques, such as the Discrete Langrangian Method (DLM) [10], have significantly ...

Spin-disorder resistivity of ferromagnetic metals from first principles: The disordered-local-moment approach" (2012). Kirill Belashchenko Publications. Paper 21. The paramagnetic spin-disorder resistivity (SDR) of transition-metal ferromagnets Fe, Co, Ni, ordered transition metal alloys Ni 3 Mn and Fe 3 Si as well as Ni 2 MnX (X = In,Sn,Sb) Heusler alloys is determined from first principles. S...

Discriminative language modeling (DLM) aims to choose the most accurate word sequence by reranking the alternatives output by the automatic speech recognizer (ASR). The conventional (supervised) way of training a DLM requires a large amount of acoustic recordings together with their manual reference transcriptions. These transcriptions are used to determine the target ranks of the ASR outputs, ...

Assembly tolerance analysis is a key element in industry for improving product quality and reducing overall cost. It provides a quantitative design tool for predicting the effects of manufacturing variation on performance and cost. It promotes concurrent engineering by bringing engineering requirements and manufacturing requirements together in a common model. A new method, called the Direct Li...

Local search techniques have attracted considerable interest in the artificial intelligence community since the development of GSAT and the minconflicts heuristic for solving propositional satisfiability (SAT) problems and binary constraint satisfaction problems (CSPs) respectively. Newer techniques, such as the discrete Langrangian method (DLM), have significantly ∗The authors gratefully ackno...

W present a dynamic factor-analytic choice model to capture evolution of brand positions in latent attribute space. Our dynamic model allows researchers to investigate brand positioning in new categories or mature categories affected by structural change such as entry. We argue that even for mature categories not affected by structural change, the assumption of stable attributes may be untenabl...

The discoid lateral meniscus (DLM) is an anatomically abnormal meniscus that covers a greater area of the tibial plateau than the normal meniscus. The DLM is classified into two types: complete (CDLM) and incomplete (ICDLM) types. In this study, we investigated the histological and cell biological characteristics of CDLM and ICDLM. The number of blood vessels, proteoglycan deposition, and colla...