Pixel Burn-In Compensation Parameter Compression for Organic Light Emitting Diode Displays

This publication describes techniques directed to improved compression algorithms that reduce the size of look-up tables used to store pixel burn-in compensation parameters that are used by Organic Light Emitting Diode (OLED) display burn-in compensation algorithms. The improved compression algorithms include an x-y mapping compression algorithm and a line fitting parameters compression algorithm. The improved compression algorithms simplify logic, save memory space, conserve power, and/or reduce latency relative to many common compression techniques

Exploring American Indian Students’ Problem-Solving Propensity in the Context of Culturally Relevant STEM Topics

This study presents an out-of-school problem-solving lesson we designed for American Indian students using a culturally relevant STEM topic. The lesson was titled “Shelter Design for Severe Weather Conditions.” This shelter design lesson was developed based on an engineering design allowing us to integrate STEM topics within a traditional indigenous house-building context. This problem context was used to encourage students to apply their prior knowledge, experience, and community/cultural practice to solve problems. We implemented the lesson at a summer program on an American Indian reservation. Using the lesson, this study explores how American Indian students use cultural knowledge and experience to solve a STEM problem. We collected student data through pre- and post-STEM content knowledge tests, drawings and explanations of shelter models on the students’ group worksheets, and classroom observations. We used interpretive and inductive methods to analyze the data. This study demonstrates that our culturally relevant, STEM problem-solving lesson helped the American Indian students solve a complex, real-world problem. This study examines how students’ prior experiences and cultural knowledge affect their problem-solving strategies. Our findings have implications for further research on designing problem-solving lessons with culturally relevant STEM topics for students from historically marginalized populations

Green Apparel Advertising: Does It Need to Move toward a Product-led Approach?

Using Banerjee et al.\u27s (1995) green advertising criteria as a framework, this study examines how Green Apparel Advertising Potency (GAAP) can be achieved. Possibilities emerge from extensive content analysis of leading marketing journals (1996 to 2016) and empirical analyses of four main attributes from various ad types: environment, product, lifestyle, and humanism. Environment attribute includes environmental benefit and nature harmony. Product attribute includes apparel quality, apparel uniqueness, and well-being benefit. Lifestyle attribute includes lifestyle compatibility, meaningfulness, and self-discovery. Finally, humanism attribute includes ethicality, humanitarian benefit, compassionate love, and connection to others. We propose a consumer response framework for Green Apparel Advertising Potency (GAAP) to outline essential elements of effective green ads. Using eight different types of green apparel ads, these elements are analyzed to develop a decision tree predictive model that determines optimum combinations of attributes. The findings indicate that the functional product attribute of apparel quality is the primary factor that can elevate Green Apparel Advertising Potency (GAAP)

Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior

High-Visibility Safety Apparel (HVSA) is classified as personal protective clothing that provides visual conspicuity to reduce the risk of fatality or injury from traffic road crashes (ANSI/ISEA 107-2010). Traffic increases every year, which leads to more congestion and to greater risks to law enforcement personnel. Conditions at dawn, dusk, night and during inclement weather further increase the risks

Altercentric versus Egocentric \u27Green Jeans\u27 Advertising: Impact on Dual Emotional Warmth

This study presents theoretical and empirical analyses of altruism, egoism, and impure altruism and explains the role of emotional warmth in purchasing green jeans

Study of the Top-quark Pair Production in Association with a Bottom-quark Pair from Fast Simulations at the LHC

A large number of top quarks will be produced at the Large Hadron Collider (LHC) for Run II period. This will allow us to measure the rare processes from the top sector in great details. We present the study of the top-quark pair production in association with a bottom-quark pair (ttbb) from fast simulations for the Compact Muon Solenoid (CMS) experiment. The differential distributions of ttbb are compared with the top-quark pair production with two additional jets (ttjj) and with the production in association with the Higgs (ttH), where the Higgs decays to a bottom-quark pair. The significances of ttbb process in the dileptonic and semileptonic decay mode are calculated with the data corresponding to an integrated luminosity of 10 fb-1, which is foreseen to be collected in the early Run II period. This study will be an important input in searching for new physics beyond the standard model as well as in searching for ttH process where the Yukawa coupling with the top quark can be directly measured.Comment: 12 pages, 12 figure

Comparison of the Plasma Metabolome Profiles Between the Internal Thoracic Artery and Ascending Aorta in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Gas Chromatography Time-of-Flight Mass Spectrometry.

BackgroundThe left internal thoracic artery (LITA) has been used as the first conduit of choice in coronary artery bypass grafting (CABG) because of excellent long-term patency and outcomes. However, no studies have examined substances other than nitric oxide that could be beneficial for the bypass conduit, native coronary artery or ischemic myocardium. This study was conducted to evaluate differences in metabolic profiles between the LITA and ascending aorta using gas chromatography-time of flight-mass spectrometry (GC-TOF-MS).MethodsTwenty patients who underwent CABG using the LITA were prospectively enrolled. Plasma samples were collected simultaneously from the LITA and ascending aorta. GC-TOF-MS based untargeted metabolomic analyses were performed and a 2-step volcano plot analysis was used to identify distinguishable markers from two plasma metabolome profiles. Semi-quantitative and quantitative analyses were performed using GC-TOF-MS and enzyme-linked immunosorbent assay, respectively, after selecting target metabolites based on the metabolite set enrichment analysis.ResultsInitial volcano plot analysis demonstrated 5 possible markers among 851 peaks detected. The final analysis demonstrated that the L-cysteine peak was significantly higher in the LITA than in the ascending aorta (fold change = 1.86). The concentrations of intermediate metabolites such as L-cysteine, L-methionine and L-cystine in the 'cysteine and methionine metabolism pathway' were significantly higher in the LITA than in the ascending aorta (2.0-, 1.4- and 1.2-fold, respectively). Quantitative analysis showed that the concentration of hydrogen sulfide (H₂S) was significantly higher in the LITA.ConclusionThe plasma metabolome profiles of the LITA and ascending aorta were different, particularly higher plasma concentrations of L-cysteine and H₂S in the LITA

MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering

<p>Abstract</p> <p>Background</p> <p>Uncovering subtypes of disease from microarray samples has important clinical implications such as survival time and sensitivity of individual patients to specific therapies. Unsupervised clustering methods have been used to classify this type of data. However, most existing methods focus on clusters with compact shapes and do not reflect the geometric complexity of the high dimensional microarray clusters, which limits their performance.</p> <p>Results</p> <p>We present a cluster-number-based ensemble clustering algorithm, called <it>MULTI-K</it>, for microarray sample classification, which demonstrates remarkable accuracy. The method amalgamates multiple <it>k</it>-means runs by varying the number of clusters and identifies clusters that manifest the most robust co-memberships of elements. In addition to the original algorithm, we newly devised the <it>entropy-plot </it>to control the separation of singletons or small clusters. MULTI-K, unlike the simple <it>k</it>-means or other widely used methods, was able to capture clusters with complex and high-dimensional structures accurately. MULTI-K outperformed other methods including a recently developed ensemble clustering algorithm in tests with five simulated and eight real gene-expression data sets.</p> <p>Conclusion</p> <p>The geometric complexity of clusters should be taken into account for accurate classification of microarray data, and ensemble clustering applied to the number of clusters tackles the problem very well. The C++ code and the data sets tested are available from the authors.</p

Origin of the increased velocities of domain wall motions in soft magnetic thin-film nanostripes beyond the velocity-breakdown regime

It is known that oscillatory domain-wall (DW) motions in soft magnetic thin-film nanostripes above the Walker critical field lead to a remarkable reduction in the average DW velocities. In a much-higher-field region beyond the velocity-breakdown regime, however, the DW velocities have been found to increase in response to a further increase of the applied field. We report on the physical origin and detailed mechanism of this unexpected behavior. We associate the mechanism with the serial dynamic processes of the nucleation of vortex-antivortex (V-AV) pairs inside the stripe or at its edges, the non-linear gyrotropic motions of Vs and AVs, and their annihilation process. The present results imply that a two-dimensional soliton model is required for adequate interpretation of DW motions in the linear- and oscillatory-DW-motion regimes as well as in the beyond-velocity-breakdown regime.Comment: 16 pages, 3 figure