193 research outputs found

    Human Automotive Interaction: Affect Recognition for Motor Trend Magazine\u27s Best Driver Car of the Year

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    Observation analysis of vehicle operators has the potential to address the growing trend of motor vehicle accidents. Methods are needed to automatically detect heavy cognitive load and distraction to warn drivers in poor psychophysiological state. Existing methods to monitor a driver have included prediction from steering behavior, smart phone warning systems, gaze detection, and electroencephalogram. We build upon these approaches by detecting cues that indicate inattention and stress from video. The system is tested and developed on data from Motor Trend Magazine\u27s Best Driver Car of the Year 2014 and 2015. It was found that face detection and facial feature encoding posed the most difficult challenges to automatic facial emotion recognition in practice. The chapter focuses on two important parts of the facial emotion recognition pipeline: (1) face detection and (2) facial appearance features. We propose a face detector that unifies state‐of‐the‐art approaches and provides quality control for face detection results, called reference‐based face detection. We also propose a novel method for facial feature extraction that compactly encodes the spatiotemporal behavior of the face and removes background texture, called local anisotropic‐inhibited binary patterns in three orthogonal planes. Real‐world results show promise for the automatic observation of driver inattention and stress

    Synergism of Heat Shock Protein 90 and Histone Deacetylase Inhibitors in Synovial Sarcoma

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    Current systemic therapies have little curative benefit for synovial sarcoma. Histone deacetylase (HDAC) inhibitors and the heat shock protein 90 (Hsp90) inhibitor 17-AAG have recently been shown to inhibit synovial sarcoma in preclinical models. We tested combinations of 17-AAG with the HDAC inhibitor MS-275 for synergism by proliferation and apoptosis assays. The combination was found to be synergistic at multiple time points in two synovial sarcoma cell lines. Previous studies have shown that HDAC inhibitors not only induce cell death but also activate the survival pathway NF-ÎșB, potentially limiting therapeutic benefit. As 17-AAG inhibits activators of NF-ÎșB, we tested if 17-AAG synergizes with MS-275 through abrogating NF-ÎșB activation. In our assays, adding 17-AAG blocks NF-ÎșB activation by MS-275 and siRNA directed against histone deacetylase 3 (HDAC3) recapitulates the effects of MS-275. Additionally, we find that the NF-ÎșB inhibitor BAY 11-7085 synergizes with MS-275. We conclude that agents inhibiting NF-ÎșB synergize with HDAC inhibitors against synovial sarcoma

    Identifying Priority Areas for Ecosystem Services Management in South Africa

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    Studies have highlighted the importance of managing ecosystem services to stop further degradation and transformation, yet very few studies have endeavored to identify priorities. The identification of priority areas for ecosystem services remains the least of objective for all studies that have mapped ecosystem services. Steps for identifying priority areas for management of ecosystem services include identifying features that supply ecosystem services, threats to service provision, potential actions to ensure future supply of service and cost of these actions as well as the availability of alternative means of providing benefits supplied by the service, the capacity to meet human demands and scale and site dependency of service. We present examples of the inclusion of ecosystem services in spatial planning in South Africa including quantifying conservation features and threats, as well as implementation issues. The prioritization of areas for ecosystem services management is still in its infancy. At present, spatial planning for ecosystem services is mostly coupled with biodiversity, but ecosystem services deserve to be conserved on their own right through conservation actions specifically designed for ecosystem services. The identification of priorities for such conservation action faces many challenges

    The diagnosis of posttraumatic stress disorder in school-aged children and adolescents following pediatric intensive care unit admission

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    Objectives: This study explored the diagnosis of posttraumatic stress disorder (PTSD) in children and adolescents following pediatric intensive care unit (PICU) admission. Specifically, the study aimed to describe the presentation and prevalence of PTSD symptoms 6 months postdischarge, explore the validity of the DSM-IV PTSD algorithm and alternative PTSD algorithm (PTSD-AA) in school-aged children and adolescents, and examine the diagnostic utility of Criterion C3 (inability to recall aspects of a trauma) in this cohort

    Policy Research on the Improvement of CPI Price Collection

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    CPIïŒˆć±…æ°‘æ¶ˆèŽčä»·æ ŒæŒ‡æ•°ïŒ‰æ˜Żćźè§‚ç»æ”Žçš„äž€äžȘé‡èŠèĄĄé‡æŒ‡æ ‡ă€‚èż‘ćčŽæ„ïŒŒæˆ‘ć›œć…Źćžƒçš„CPIäžŽć…ŹäŒ—æ„Ÿć—äč‹é—Žć­˜ćœšç€èŸƒć€§ć·źćŒ‚ïŒŒć—ćˆ°äž€ćźšçš„èŽšç–‘ă€‚èż™ć…¶äž­ïŒŒæ—ąæœ‰ć…ŹäŒ—äž»è§‚æ„Ÿć—äžŠçš„ć·źćŒ‚ïŒŒäčŸæœ‰CPIè°ƒæŸ„äž­æ•°æźèŽšé‡äžŠć­˜ćœšçš„é—źéą˜ă€‚é•żæœŸä»„æ„ïŒŒćœšCPIçš„çŒ–ćˆ¶èż‡çš‹äž­ïŒŒè°ƒæŸ„ç›źćœ•ć’Œæƒæ•°æœ€äžșć—ćˆ°ć…łæłšć’Œç ”ç©¶ïŒŒäœ†ćŽŸć§‹ä»·æ Œæ•°æźé‡‡é›†äœœäžșCPI调柄䞭最ćŸșçĄ€çš„äž€é“çŽŻèŠ‚ïŒŒäčŸæ˜ŻćœšçĄźćźšäș†è°ƒæŸ„ç›źćœ•ć’Œæƒæ•°ćŽïŒŒæœ€æ˜“ćœ±ć“æ•°æźèŽšé‡çš„ć…łé”źçŽŻèŠ‚ïŒŒćŽçŒșäčç›žć…łçš„理èźșç ”ç©¶äžŽćźžè·”æŽąçŽąïŒŒćœšćźžé™…æ“äœœäž­æšŽéœČć‡șèŻžć€šé—źéą˜ă€‚æœŹæ–‡ä»„CPI采价æ–čćŒäžșäž­ćżƒïŒŒæŽąèźšäș†é‡‡ä»·ć·„䜜的重芁意äč‰ä»„ćŠćœ“ć‰é‡‡ä»·ć·„äœœçš„çŽ°çŠ¶ć’ŒéąäžŽçš„æŒ‘æˆ˜ă€‚ç»Œćˆć›œć†…ć€–ćœšé‡‡ä»·äž­èŽšé‡è°ƒæ•Žçš„ç†èźșç ”ç©¶äžŽćœšæ”™æ±Ÿçš„é‡‡ä»·èŻ•ç‚čćźžè·”ïŒŒèźšèźșäș†ç‰čæźŠć•†ć“é‡‡ä»·...CPI (Consumer Price Index) is an important macroeconomic indicator. In recent years, there is a big difference between the CPI data we published and the public feelings, subject to certain doubts. Among these, there are differences between subjective feelings of people, and also doubts about the quality of the issuance of the survey data that CPI presented. For a long time, in the process of compi...ć­ŠäœïŒšć…Źć…±çźĄç†çĄ•ćŁ«é™ąçł»äž“äžšïŒšć…Źć…±äș‹ćŠĄć­Šé™ą_ć…Źć…±çźĄç†çĄ•ćŁ«ć­Šć·ïŒš1392012115029

    A global database for metacommunity ecology, integrating species, traits, environment and space

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    The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CESTES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology

    Biodiversity and ecosystem services science for a sustainable planet: the DIVERSITAS vision for 2012–20

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    DIVERSITAS, the international programme on biodiversity science, is releasing a strategic vision presenting scientific challenges for the next decade of research on biodiversity and ecosystem services: “Biodiversity and Ecosystem Services Science for a Sustainable Planet”. This new vision is a response of the biodiversity and ecosystem services scientific community to the accelerating loss of the components of biodiversity, as well as to changes in the biodiversity science-policy landscape (establishment of a Biodiversity Observing Network — GEO BON, of an Intergovernmental science-policy Platform on Biodiversity and Ecosystem Services — IPBES, of the new Future Earth initiative; and release of the Strategic Plan for Biodiversity 2011–2020). This article presents the vision and its core scientific challenges.Fil: Larigauderie, Anne. DIVERSITAS. MusĂ©um National d’Histoire Naturelle; FranciaFil: Prieur Richard, Anne Helene. DIVERSITAS. MusĂ©um National d’Histoire Naturelle; FranciaFil: Mace, Georgina. Imperial College London. Center for Population Biology; Reino UnidoFil: Londsdale, Mark. CSIRO Ecosystem Sciences; AustraliaFil: Mooney, Harold A.. Stanford University. Department of Biological Sciences; Estados UnidosFil: Brussaard, Lijbert. Wageningen University, Soil Quality Department; PaĂ­ses BajosFil: Cooper, David. Secretariat of the Convention on Biological Diversity; CanadĂĄFil: Wolfgang, Cramer. Institut MĂ©diterranĂ©en de BiodiversitĂ© et d’Ecologie marine et continentale; FranciaFil: Daszak, Peter. EcoHealth Alliance. Wildlife Trust; Estados UnidosFil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - CĂłrdoba. Instituto Multidisciplinario de BiologĂ­a Vegetal. Universidad Nacional de CĂłrdoba. Facultad de Ciencias Exactas FĂ­sicas y Naturales. Instituto Multidisciplinario de BiologĂ­a Vegetal; ArgentinaFil: Duraiappah, Anantha. International Human Dimensions Programme; AlemaniaFil: Elmqvist, Thomas. University of Stockholm. Department of Systems Ecology and Stockholm Resilience Center; SueciaFil: Faith, Daniel. The Australian Museum; AustraliaFil: Jackson, Louise. University of California; Estados UnidosFil: Krug, Cornelia. DIVERSITAS. MusĂ©um National d’Histoire Naturelle; FranciaFil: Leadley, Paul. UniversitĂ© Paris. Laboratoire Ecologie SystĂ©matique Evolution, Ecologie des Populations et CommunautĂ©s; FranciaFil: Le Prestre, Philippe. Laval University; CanadĂĄFil: Matsuda, Hiroyuki. Yokohama National University; JapĂłnFil: Palmer, Margaret. University of Maryland; Estados UnidosFil: Perrings, Charles. Arizona State University; Estados UnidosFil: Pulleman, Mirjam. Wageningen University; PaĂ­ses BajosFil: Reyers, Belinda. Natural Resources and Environment; SudĂĄfricaFil: Rosa, Eugene A.. Washington State University; Estados UnidosFil: Scholes, Robert J.. Natural Resources and Environment; SudĂĄfricaFil: Spehn, Eva. Universidad de Basilea; SuizaFil: Turner II, B. L.. Arizona State University; Estados UnidosFil: Yahara, Tetsukazu. Kyushu University; JapĂł
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