Developing competency-based methods for near-real-time air combat problem solving assessment

Air combat scenarios present unique problems where the solution is not obvious. An advanced networked simulation environment can be used to train high-level cognitive air combat skills such as problem solving. A problem in the development of principled and construct oriented assessment is related to determining the level of specificity of the assessment. We present a detailed discussion of the definition of critical competencies associated with combat mission problem solving performance, and we describe our approach to develop and implement an embedded performance assessment system that maps outcomes to these competencies. Finally, we discuss the implications for our approach for comprehensive assessment and discuss our goals for an evaluation of the competency-based approach to assessment.     

Extra back-off flow control in multi-hop wireless networks

CSMA is the predominant distributed access protocol for wireless mesh networks. Originally designed for single-hop settings, CSMA can exhibit severe performance problems in multi-hop networks in terms of stability and end-to-end throughput. To ensure a smoother flow of packets, we examine an enhancement referred to as Extra Back-off (EB) flow control. In this enhanced scheme a node remains silent for a certain extra back-off time (imposed on top of the usual back-off time that is part of CSMA) after it has transmitted a packet, to give both the downstream and upstream neighbors the opportunity to transmit. EB flow control entails only a small modification to CSMA, preserving its distributed character. In order to examine the performance of EB flow control, we analyze a novel class of Markov models at the interface between classical tandem queues and interacting particle systems. The results demonstrate that EB flow control provides an effective mechanism for improving the end-to-end throughput performance.     

Analysis of zero-inflated clustered count data: A marginalized model approach

Min and Agresti (2005) proposed random effect hurdle models for zero-inflated clustered count data with two-part random effects for a binary component and a truncated count component. In this paper, we propose new marginalized models for zero-inflated clustered count data using random effects. The marginalized models are similar to Dobbie and Welsh’s (2001) model in which generalized estimating equations were exploited to find estimates. However, our proposed models are based on a likelihood-based approach. A Quasi-Newton algorithm is developed for estimation. We use these methods to carefully analyze two real datasets.     

Why Are You Bringing Up Condoms Now? The Effect of Message Content on Framing Effects of Condom Use Messages.

According to prospect theory (A. Tversky & D. Kahneman, 1981), messages advocating a low-risk (i.e., easy, low-cost) behavior are most effective if they stress the benefits of adherence (gain framed), whereas messages advocating a risky behavior are most effective if they stress the costs of nonadherence (loss framed). Although condom use is viewed as a low-risk behavior, it may entail risky interpersonal negotiations. Study 1 (N = 167) compared ratings of condom use messages advocating relational behaviors (e.g., discussing condoms) or health behaviors (e.g., carrying condoms). As predicted, loss-framed relational messages and gain-framed health messages received higher evaluations. Study 2 (N = 225) offers a replication and evidence of issue involvement and gender as moderators. Results are discussed with reference to the design of condom use messages. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Antioxidant and antibacterial activities of peptide fractions from flaxseed protein hydrolysed by protease from Bacillus altitudinis HK02

Flaxseed protein (FP) hydrolysates by crude protease of strain Bacillus altitudinis HK02 were further separated into five fractions by ultrafiltration membranes with a molecular weight cut‐off of 10, 5, 3 and 1 kDa for the analysis of antioxidant activities and antibacterial ability. The results demonstrated that the fraction of 1‐ to 3‐kDa peptides exhibited higher antioxidant activities on the free radical‐scavenging ability and the reducing power than those of Vit C, Vit E, BHA and other fractions. The fraction with a low molecular weight (<1 kDa) of peptides demonstrated the highest ferrous ion‐chelating ability and a higher inhibition of lipid peroxidation than BHA and other fractions. Moreover, it also exhibited the best growth inhibition of Pseudomonas aeruginosa and Escherichia coli. The results, including the concentration‐dependent effect of peptides fractions, demonstrated that it is feasible to derive functional ingredients of natural antioxidants along with antimicrobial activity from FPs hydrolysed by protease from B. altitudinis HK02.     

The flotation of magnetic and non-magnetic pyrrhotite from selected nickel ore deposits

The non-stoichiometric sulfide mineral pyrrhotite (Fe_(1?x)S), common to many nickel ore deposits, occurs in different crystallographic forms and compositions. A series of pyrrhotite samples derived from Canada, South Africa and Botswana whose mineralogy is well characterised, were selected here in order to develop the relationship between mineralogy and flotation performance. Using both oxygen uptake and microflotation tests, the behaviour of the different pyrrhotite types was compared in terms of the effect of pH and collector addition. Non-magnetic pyrrhotite was less reactive in terms of its oxygen uptake and showed the best collectorless flotation recovery. Magnetic pyrrhotite was more reactive and showed poor collectorless flotation performance that could be improved with the addition of xanthate collector, but only if it was not already passivated. These differences are interpreted to be a result of pyrrhotite mineralogy. This has implications that may aid the manipulation of pyrrhotite flotation performance in processing operations.     

Tunable Spectrum Selectivity for Multiphoton Absorption with Enhanced Visible Light Trapping in ZnO Nanorods

Observation of visible light trapping in zinc oxide (ZnO) nanorods (NRs) correlated to the optical and photoelectrochemical properties is reported. In this study, ZnO NR diameter and c‐axis length respond primarily at two different regions, UV and visible light, respectively. ZnO NR diameter exhibits UV absorption where large ZnO NR diameter area increases light absorption ability leading to high efficient electron–hole pair separation. On the other hand, ZnO NR c‐axis length has a dominant effect in visible light resulting from a multiphoton absorption mechanism due to light reflection and trapping behavior in the free space between adjacent ZnO NRs. Furthermore, oxygen vacancies and defects in ZnO NRs are associated with the broad visible emission band of different energy levels also highlighting the possibility of the multiphoton absorption mechanism. It is demonstrated that the minimum average of ZnO NR c‐axis length must satisfy the linear regression model of Z _p,min = 6.31d to initiate the multiphoton absorption mechanism under visible light. This work indicates the broadening of absorption spectrum from UV to visible light region by incorporating a controllable diameter and c‐axis length on vertically aligned ZnO NRs, which is important in optimizing the design and functionality of electronic devices based on light absorption mechanism.     

Student Perceptions of High Course Workloads are Not Associated with Poor Student Evaluations of Instructor Performance

Many engineering faculty believe that when students perceive a course to have a high workload, students will rate the course and the performance of the course instructor poorly. This belief can be particularly worrying to engineering faculty since engineering courses are often perceived as uniquely demanding. The present investigation demonstrated that student ratings of workload and of overall instructor performance in engineering courses were not correlated (e.g., Spearman's rho = 0.068) in data sets from either of two institutions. In contrast, a number of evaluation items were strongly correlated (Spearman's rho = 0.7 to 0.899) with ratings of overall instructor performance across engineering, mathematics and science, and humanities courses. The results of the present study provide motivation for faculty seeking to improve their teaching and course evaluations to focus on teaching methods, organization/preparation, and interactions with students, rather than course workload.