How Freight Probe Data is Revolutionizing the Industry

This presentation will discuss how INRIX is enabling the use of probe vehicle data to revolutionize the freight industry. INRIX is one of the fastest growing big data technology companies in the world. The company leverages big data analytics to reduce the individual, economic, and environmental toll of traffic congestion. Through cutting-edge data intelligence and predictive traffic technologies, INRIX helps leading automakers, fleets, governments, and news organizations make it easier for drivers to navigate their world

Generation of degenerate, factorizable, pulsed squeezed light at telecom wavelengths

We characterize a periodically poled KTP crystal that produces an entangled, two-mode, squeezed state with orthogonal polarizations, nearly identical, factorizable frequency modes, and few photons in unwanted frequency modes. We focus the pump beam to create a nearly circular joint spectral probability distribution between the two modes. After disentangling the two modes, we observe Hong-Ou-Mandel interference with a raw (background corrected) visibility of 86 % (95 %) when an 8.6 nm bandwidth spectral filter is applied. We measure second order photon correlations of the entangled and disentangled squeezed states with both superconducting nanowire single-photon detectors and photon-number-resolving transition-edge sensors. Both methods agree and verify that the detected modes contain the desired photon number distributions

Prevalence of and Risk Factors for Hepatic Steatosis and Nonalcoholic Fatty Liver Disease in People With Type 2 Diabetes: the Edinburgh Type 2 Diabetes Study

OBJECTIVE-Type 2 diabetes is an established risk factor for development of hepatic steatosis and nonalcoholic fatty liver disease (NAFLD). We aimed to determine the prevalence and clinical correlates of these conditions in a large cohort of people with type 2 diabetes.RESEARCH DESIGN AND METHODS-A total of 939 participants, aged 61-76 years, from the Edinburgh Type 2 Diabetes Study (ET2DS)-a large, randomly selected population of people with type 2 diabetes-underwent liver ultrasonography. Ultrasound gradings of steatosis were compared with magnetic resonance spectroscopy in a subgroup. NAFLD was defined as hepatic steatosis in the absence of a secondary cause (screened by questionnaire assessing alcohol and hepatotoxic medication use, plasma hepatitis serology, autoantibodies and ferritin, and record linkage to determine prior diagnoses of liver disease). Binary logistic regression was used to analyze independent associations of characteristics with NAFLD.RESULTS-Hepatic steatosis was present in 56.9% of participants. After excluding those with a secondary cause for steatosis, the prevalence of NAFLD in the study population was 42.6%. Independent predictors of NAFLD were BMI, lesser duration of diabetes, HbA(1c), triglycerides, and metformin use. These remained unchanged after exclusion of participants with evidence of hepatic fibrosis from the group with no hepatic steatosis.CONCLUSIONS-Prevalences of hepatic steatosis and NAFLD were high in this unselected population of older people with type 2 diabetes, but lower than in studies in which ultrasound gradings were not compared with a gold standard. Associations with features of the metabolic syndrome could be used to target screening for this condition.</p

Guidebook 'How to develop a Sustainable Energy and Climate Action Plan (SECAP)'

The Covenant of Mayors for Climate and Energy (CoM) is an ambitious initiative for local climate and energy actions. This document provides signatories with a set of methodological principle, procedures and best practices to develop their SECAP. The Part 1 of this document relates to the SECAP process; while Part 2gives an insight on the elaboration of municipality assessments (BEI and RVA), finally Part 3 describes technical issues, measures and policies that can be implemented at local level.JRC.C.2-Energy Efficiency and Renewable

VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were captured, together with self-reported responses, from healthy participants (n=34) experiencing 360-VEs (n=12, 1-3 min each) selected through focus groups and a pilot trial. Statistical analysis confirmed the validity of the selected 360-VEs in eliciting the desired emotions. Preliminary machine learning analysis was carried out, demonstrating state-of-the-art performance reported in affective computing literature using non-immersive modalities. VREED is among the first multimodal VR datasets in emotion recognition using behavioural and physiological signals. VREED is made publicly available on Kaggle 1. We hope that this contribution encourages other researchers to utilise VREED further to understand emotional responses in VR and ultimately enhance VR experiences design in applications where emotional elicitation plays a key role, i.e. healthcare, gaming, education, etc

VREED

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were captured, together with self-reported responses, from healthy participants (n=34) experiencing 360-VEs (n=12, 1--3 min each) selected through focus groups and a pilot trial. Statistical analysis confirmed the validity of the selected 360-VEs in eliciting the desired emotions. Preliminary machine learning analysis was carried out, demonstrating state-of-the-art performance reported in affective computing literature using non-immersive modalities. VREED is among the first multimodal VR datasets in emotion recognition using behavioural and physiological signals. VREED is made publicly available on Kaggle1. We hope that this contribution encourages other researchers to utilise VREED further to understand emotional responses in VR and ultimately enhance VR experiences design in applications where emotional elicitation plays a key role, i.e. healthcare, gaming, education, etc.</jats:p

Carpe Diem: Love, Resistance to Authority, and the Necessity of Choice in Andrew Marvell and Elizabeth Cary

The theme of love as resistance to authority is the centerpiece of a two-millennia-long tradition in Western poetry known as carpe diem (a phrase credited to the Latin poet Horace). This essay begins by analyzing one of the most famous later examples of carpe diem in English poetry (Andrew Marvell&rsquo;s 1681 &ldquo;To His Coy Mistress&rdquo;), emphasizing the carpe diem ethos&rsquo; potential to illustrate both the consequences and the necessity of individual erotic choice&mdash;especially female choice&mdash;in defiance of authority. It then uses carpe diem&rsquo;s anti-authoritarian perspective to understand the contrast between the ambivalence of Mariam&mdash;torn between a tepid disobedience and regretful loyalty to her husband Herod&mdash;and the wholly defiant choices of Salome in Elizabeth Cary&rsquo;s earlier drama, The Tragedy of Mariam from 1613