Understanding road surface pollutant wash-off and underlying physical processes using simulated rainfall.

Pollutant wash-off is one of the key pollutant processes that detailed knowledge is required in order to develop successful treatment design strategies for urban stormwater. Unfortunately, current knowledge relating to pollutant wash-off is limited. This paper presents the outcomes of a detailed investigation into pollutant wash-off on residential road surfaces. The investigations consisted of research methodologies formulated to overcome the physical constraints due to the heterogeneity of urban paved surfaces and the dependency on naturally occurring rainfall. This entailed the use of small road surface plots and artificially simulated rainfall. Road surfaces were selected due to its critical importance as an urban stormwater pollutant source.The study results showed that the influence of initially available pollutants on the wash-off process was limited. Furthermore, pollutant wash-off from road surfaces can be replicated using an exponential equation. However, the typical version of the exponential wash-off equation needs to be modified by introducing a non dimensional factor referred to as 'capacity factor' CF. Three rainfall intensity ranges were identified where the variation of CF can be defined. Furthermore, it was found that particulate density rather than size is the critical parameter that influences the process of pollutant wash-off.     

Developmental Outcome of Drug-Exposed Children Through 30 Months: A Comparison of Bayley and Bayley-II.

This study examined the effects of the Bayley Scales of Infant Development (BSID) version on developmental outcomes among drug-exposed children, some of whom received an intervention. Developmental outcome was evaluated with the BSID at 12 and 18 months and with the BSID-II at 24 and 30 months. In the repeated measures analyses, children scored higher on the BSID Mental Developmental Index (MDI; p     

Fracture toughness of foams with tetrakaidecahedral unit cells using finite element based micromechanics

Fracture toughness of open-cell foams consisting of tetrakaidecahedral unit cells is predicted by simulating crack propagation using a finite element (FE) based micromechanical model. The inputs to the model are the geometric parameters required to model the repeating unit cell and tensile strength of the foam ligament or strut. Cracks are created by removing certain number of cells pertaining to a crack length. The FE model consists of a local micro-scale region surrounding the crack tip. For an assumed stress intensity factor, the displacements along the boundary of the local model are calculated based on linear elastic fracture mechanics for orthotropic materials. The stresses in the ligaments ahead of the crack tip calculated from this micro-model in conjunction with the tensile strength of the strut material are used to predict fracture toughness. A parametric study with different micro-model sizes and different crack lengths is performed to check for convergence of predicted Mode-I, Mode-II and mixed mode fracture toughness values. The effect of applying rotations as additional boundary conditions along with translational displacement boundary conditions on the predicted fracture toughness values is also studied.     

Parallel Algorithms for Perceptual Grouping on Distributed Memory Machines

Perceptual grouping is a key intermediate-level vision problem. Parallel solutions to this problem are characterized by uneven distribution of symbolic features among the processors, unbalanced workload, and irregular interprocessor data dependency caused by the input image. In this paper, we propose two load-balancing techniques for parallelizing perceptual grouping on distributed-memory machines. By using an initial workload estimate, we first partition the computations to distribute the workload across the processors. In addition, we asynchronously perform ongoing task migrations to adapt to the unbalanced workload which may evolve differently from the initial estimate. We also discuss two strategies to manage the irregular interprocessor data dependency. To illustrate our ideas, perceptual grouping steps used in an integrated vision system for building detection are used as examples. Our experimental results show that, given 8K extracted line segments from a 1K × 1K image, both the line and junction grouping steps can be completed in 0.644 s on a 32-node SP2 and in 0.585 s on a 32-node T3D. For the same grouping steps, a serial implementation requires 10.550 s and 10.023 s on a single node of SP2 and T3D, respectively. The implementations were performed using the message passing interface standard and are portable to other high performance computing platforms.     

Preparation, characterization and dielectric properties of Ba3Ln3Ti5Nb5O30 (Ln=La, Nd) ceramics

Ba₃Ln₃Ti₅Nb₅O₃₀ (Ln=La, Nd) ceramics were prepared by the conventional solid-state ceramic route. The sintered samples were characterized by X-ray diffraction and scanning electron microscopy (SEM) methods. They have high dielectric constants, 141 and 203 at 13 MHz for La-based and Nd-based ceramics, respectively. The loss factor of the ceramics increases with frequency.     

Latin squares for parallel array access

A parallel memory system for efficient parallel array access using perfect latin squares as skewing functions is discussed. Simple construction methods for building perfect latin squares are presented. The resulting skewing scheme provides conflict free access to several important subsets of an array. The address generation can be performed in constant time with simple circuitry. The skewing scheme can provide constant time access to rows, columns, diagonals, and N^1/2 ×N^1/2 subarrays of an N× N array with maximum memory utilization. Self-routing Benes networks can be used to realize the permutations needed between the processing elements and the memory modules. Two skewing schemes that provide conflict free access to three-dimensional arrays are also discussed. Combined with self-routing Benes networks, these schemes provide efficient access to frequently used subsets of three-dimensional arrays     

Measurement of job and work involvement.

Developed separate measures of job and work constructs using 3 techniques: semantic differential, questionnaire, and graphic. Assessment measures included the Job Involvement and Work Involvement Questionnaires, Job Involvement and Work Involvement Semantic Differentials, and Job Involvement and Work Involvement Graphic scales. Data collected from a heterogeneous sample of 703 employees are analyzed to establish reliability, construct validity, and criterion-related validity of each measure. Results reveal that questionnaire and graphic measures pass the tests of reliability and validity. Semantic differential measures, however, have questionable validity for measuring work involvement and should, perhaps, be limited to only highly educated samples of respondents. Results also support the conceptual distinction between job and work involvement. (19 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Thermodynamic studies with silver—silver thiocyanate electrodes: transfer of (H+ SCN−) from aqueous to dioxane—water solutions

Electromotive force measurements of the cell:

have been made at 15, 25, 35 and 45°C for solvent compositions X = 10, 20, 30 and 40% (w/w) of dioxane. These have been used to evaluate the standard potentials of the cell and various thermodynamic functions for the transfer of (H⁺ SCN^?) from water to the respective dioxane—water media. The standard free energy of transfer values along with those for halogen acids are briefly discussed in relation to ion solvation.     

Synthesis of high crystalline nickel‐iron hydrotalcite‐like compound as an efficient electrocatalyst for oxygen evolution reaction

The nickel‐iron hydroxide‐like catalyst for oxygen evolution reaction (OER) is prepared by an improved coprecipitation method. The crystallization degree of hydrotalcite‐like compound is high, and the lamellar structure is homogeneous with no agglomeration, which helps to build efficient mass‐transfer layer channel of OH^? ions. The NiFe layered double hydroxide (LDH)/carbon nanotubes (CNTs) electrode shows good performance and stability for OER. The potential of NiFe LDH/CNTs electrode is only 0.592 V (vs HgO/Hg) at 200 mA·cm^?2 in 6 mol·L^?1 potassium hydroxide (KOH) electrolyte, which shows excellent catalytic activity for OER. The NiFe LDH/CNTs electrode works continuously for 620 hours at 200 mA·cm^?2, with the groove voltage only rises 0.1 V.