Fractional Brownian motion models for synthetic aperture radarimagery scene segmentation

The application of fractal random process models and their related scaling parameters as features in the analysis and segmentation of clutter in high-resolution, polarimetric synthetic aperture radar (SAR) imagery is demonstrated. Specifically, the fractal dimension of natural clutter sources, such as grass and trees, is computed and used as a texture feature for a Bayesian classifier. The SAR shadows are segmented in a separate manner using the original backscatter power as a discriminant. The proposed segmentation process yields a three-class segmentation map for the scenes considered in this study (with three clutter types: shadows, trees, and grass). The difficulty of computing texture metrics in high-speckle SAR imagery is addressed. In particular, a two-step preprocessing approach consisting of polarimetric minimum speckle filtering followed by noncoherent spatial averaging is used. The relevance of the resulting segmentation maps to constant-false-alarm-rate (CFAR) radar target detection techniques is discussed     

Study of some practical issues in inversion with the Born iterativemethod using time-domain data

The performance of the Born iterative method of nonlinear two-dimensional profile inversion is examined for the reconstruction of large objects and in the presence of measurement noise. Time-domain data are used. It is shown that objects at least as large as about nine wavelengths can be inverted without any convergence problems. The algorithm is shown to perform well in the presence of 10% noise, or 20-dB signal-to-noise ratio. The simultaneous inversion of permittivity and conductivity profiles is formulated and solved using the Born iterative method. Objects with various loss tangents are reconstructed, and the limits of applicability of the algorithm are investigated     

Forest variable estimation from fusion of SAR and multispectral optical data

Radar and optical remote sensing data are used in a unified algorithm to estimate forest variables. The study site is the H. J. Andrews experimental forest in Oregon, which has significant topography and several mature and old-growth conifer stands with biomass values sometimes exceeding 1000 tons/ha. Polarimetric multifrequency Airborne Synthetic Aperture Radar (AIRSAR) backscatter, interferometric C-band Topographic Synthetic Aperture Radar (TOPSAR) coherence, and multispectral Landsat Thematic Mapper (TM) digital numbers are used in a regression analysis that relates them to forest variable measurements on the ground. Parametric expressions are derived and used to estimate the same variables(s) at other locations from the combination of AIRSAR and TM data. It is shown that the estimation accuracy is significantly improved when the radar and optical data are used in combination compared to estimating the same variable from a single data type alone.     

Systemic and Prefrontal Cortical NMDA Receptor Blockade Differentially Affect Discrimination Learning and Set-Shift Ability in Rats.

The authors examined discrimination rule learning and extradimensional set-shifting ability in rats given systemic or intracranial injections of the N-methyl-D-aspartate (NMDA) receptor antagonist MK801. Pretraining systemic injections of MK801 impaired both the acquisition of the initial discrimination rule (Set 1) and the shift to the 2nd rule (Set 2). Pretraining intramedial prefrontal cortical (mPFC) administration of MK801 did not impair Set 1 acquisition. Intra-mPFC injection of MK801 was previously found to impair Set 2 acquisition. Impaired Set 2 performance was due to increased cognitive perseveration. The data suggest that discrimination learning in naive subjects requires NMDA receptors outside the mPFC, whereas NMDA receptors within the mPFC are selectively involved in the modification of previous knowledge and/or the inhibition of previously learned responses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluation of analytical models for thermal analysis and design of electronic packages

The objective of this study is to evaluate the use of several analytical compact heat transfer models for thermal design, optimization, and performance evaluation in electronic packaging. A model for heat spreading in orthotropic materials is developed. The developed model is used in conjunction with the other available heat transfer models in a resistance network for calculation of heat transfer rate and junction temperatures in a multi-chip module (MCM). Refrigeration cooled MCM of an IBM server is used to illustrate the methodology. Results of the analytical model and resistance network analysis are compared with a numerical solution. Capability of the analytical model in predicting the thermal field is discussed and effectiveness of using the analytical models in thermal design and optimization of electronic packages is demonstrated.     

Long-term (10-year) outcome in patients with unstable angina pectoris treated by coronary balloon angioplasty

OBJECTIVES: We sought to examine completed 10-year survival and event-free survival in patients with stable and unstable angina pectoris treated by coronary balloon angioplasty. BACKGROUND: Patients with unstable angina are at increased risk for recurrent acute coronary events. METHODS: The study included 208 consecutive patients (133 with stable and 75 with unstable angina pectoris) undergoing angioplasty from 1984 to 1986. The balloon crossed the lesion in 185 patients (121 with stable and 64 with unstable angina pectoris). Angioplasty was performed in patients with unstable angina pectoris 12+/-15 days (median 8) after symptom onset. Patients with unstable angina pectoris were classified retrospectively into Braunwald class I (n=3), class II (n=20), class III (n=28), class B (n=52) and class C (n=12). Follow-up data were obtained from hospital charts, telephone interview and official death certificates where applicable. The study had >80% power to detect a clinically significant 20% difference in survival and a 20% difference in event-free survival between the stable and unstable patient groups. RESULTS: Despite similar baseline characteristics, early (40-day) mortality was slightly higher in patients with unstable angina (4.7% [3 of 64 patients] vs. 0.8% [1 of 121 patients], p=NS). Long-term outcome was not different, because survival curves were parallel thereafter (10-year survival was 83% for those with stable and 77% for those with unstable angina, p=NS). Survival free of myocardial infarction or coronary artery bypass graft surgery at 10 years was 53% in patients with stable and 47% in patients with unstable angina (p=NS), and survival free of infarction, bypass surgery or repeat angioplasty was 32% for both groups at 10 years. In patients with Braunwald class III unstable angina, 10-year survival was 80%, as compared with 85% in other patients with unstable angina, due to the early hazard (p=NS). Survival and event-free survival were similar in patients who had had a recent myocardial infarction (Braunwald class C) and in patients with acute electrocardiographic changes. Repeat hospital admissions were not more frequent in patients with unstable angina (3.1+/-3.5 vs. 3.0+/-2.6, p=NS). CONCLUSIONS: Ten-year survival and event-free survival were similar in patients with stable and unstable angina pectoris treated by coronary balloon angioplasty, with no evidence of an increased rate of recurrent cardiovascular events in the unstable group.     

Microwave scattering from mixed-species forests, Queensland, Australia

The potential of synthetic aperture radar (SAR) data for retrieving the above-ground and component (e.g., branch, trunk) biomass of mixed-species forests (including woodlands) typical to subtropical Queensland, Australia, was evaluated using a wave scattering model based on that of Durden et al. (1989). The model was parameterized using field data collected for nine forest types, which were selected through combined analysis of 1 : 4000 aerial photographs and light detection and ranging data. The simulated SAR backscatter data demonstrated a good correspondence at most frequencies and polarizations with Airborne SAR data. Analysis of scattering mechanisms revealed dominance of C-band horizontal-vertical (HV) volume scattering and increases with small-branch/foliage biomass, dominance of L- and P-band HH trunk-ground scattering and increases with trunk biomass, and dominance of L-band HV volume (branch) scattering and increases with large-branch biomass. The study concluded that above-ground biomass estimated using empirical relationships with selected SAR channels will be more reliable for forests of similar structural form due to dominance of microwave interaction with particular biomass components and the strength and consistency of relationships between these and the affiliated components that represent the total. In mixed-species forests, retrieval will be compromised by interaction with a greater diversity of structures and variability in relationships between structural components. Although empirical relationships with selected combinations of channels (e.g., L-band HH/HV) might allow retrieval of component and total biomass of forests containing trees of similar form (e.g., as mapped using Landsat sensor data), the use of SAR inversion models was considered a more appropriate route for retrieving the biomass of forests containing a mix of structural forms.     

A Review of Microstructural Alterations around Nonmetallic Inclusions in Bearing Steel during Rolling Contact Fatigue

Microstructural alterations in bearing steels during rolling contact cycling have been reported in the literature for more than 60 years. These changes appear in different shapes and locations. One class of such alterations is “butterfly wings”: regions of microstructurally transitioned material that appear diagonally around nonmetallic inclusions and may serve as fatigue crack initiation sites. Over the course of the past half a century numerous experimental and multiple analytical efforts have been made to understand and model this phenomenon, yet a lot is to be discovered and understood about root causes and mechanisms leading to butterfly formation. This article presents a comprehensive overview of the crack nucleation phenomena due to butterfly formation, its characteristics, and its negative impact on bearing service life. Significant attempts that have been made to solve the problem over the past half a century are mentioned, with a focus on recent work. Unanswered dilemmas are particularly discussed to highlight avenues of future research.     

Organizational research in the field of Green IT: A systematic literature review from 2007 to 2016

The environmental effects of Information Technology (IT) and business sustainability have been a catalyst for the growth of Green IT. This growth has resulted in a considerable amount of attention from business practitioners, Information System (IS) researchers and politicians in the field. Many researchers from different academic backgrounds have attempted to investigate and understand the concepts of Green IT, from both the individual and the organizational perspectives. However, few attempts have been made to incorporate the findings of previous surveys and to assess the current state of research in this field. In this research, we conduct a literature review to examine Green IT research to gain a better understanding of the Green IT field between 2007 and 2016. We categorize the published papers and present some novel research opportunities and areas that need to be developed. To provide extensive quantitative and qualitative results, we follow a review protocol integrating two different stages (automatic and manual) and cover all of the studies from this period. Accordingly, from the review study, we identify 131 papers addressing Green IT that were reviewed to extract relevant information on a set of research questions. We observe that the current studies cover numerous research themes under Green IT research, particularly initiation, approaches and strategies, the adoption framework, and benefits, with other themes gaining scarce attention. By presenting research questions, we aid scholars in determining rigorous academic research directions for studying this phenomenon. The results of this study provide a roadmap to guide future studies on Green IT and highlight directions for the successful implementation of Green IT in organizations.     

Evaluation of thermal stability of confectionary sunflower protein isolate and its effect on nanoparticulation and particle size of the produced nanoparticles

In this study, the effect of different defatting conditions on heat stability of confectionary sunflower protein isolate (SnPI) and the particle size of the produced nanoparticles was investigated. The evaluated factors included temperatures of defatting (40, 50, and 60 °C), time of defatting (2, 6, and 10 h), and the amount of activated carbon (0, 25, and 50% of sample weight). The results of the central composite design showed a significant effect (P < 0.05) among the studied factors, where denaturation temperature and particle size of SnPI nanoparticles were found to be in the ranges of 75.05–89.12 °C and 268–1594 nm, respectively. Moreover, the interaction of activated carbon with temperature and time of defatting proved to be influential factors for the heat stability of confectionary SnPI.