New approaches for real time traffic data acquisition with airborne systems

ABSTRACT: The topic of the paper is the adaptation of airborne remote sensing techniques and methodology in transportation. All traffic relevant applications require real-time derivation of traffic flow describing parameters. This paper illustrates approaches in hard and software for fulfilling these demands. Two systems for traffic data collection for different operations will be explained and detailed information for online georeferencing, real-time pattern recognition, speed measurement and car classification will be given. The results will be shown and discussed. As a short outlook necessary enhancements and possible sensor extensions will be presented

Providing Information by Resource- Constrained Data Analysis

The Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis) brings together the research fields of data analysis (Data Mining, Knowledge Discovery in Data Bases, Machine Learning, Statistics) and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere. The research center approaches these problems with new algorithms respecting the resource constraints in the different scenarios. This Technical Report presents the work of the members of the integrated graduate school

Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder:a systematic review and network meta-analysis

Background Major depressive disorder is one of the most common, burdensome and costly psychiatric disorders worldwide in adults. Both pharmacological and non-pharmacological treatments are available, however, because of lack of resources, antidepressants are used more frequently. Prescription of these agents should be informed by the best available evidence. Consequently, we aimed to update and expand our previous work to compare and rank antidepressants for major depressive disorder in adults. Methods We searched Cochrane CENTRAL, CINAHL, EMBASE, LiLACS, MEDLINE, PSYCINFO, regulatory agencies' websites, and international registers for published and unpublished, double-blind randomised controlled trials up to January 8th 2016, for the acute treatment of major depressive disorder diagnosed according to standard operationalised criteria. We included placebo-controlled and head-to-head trials of 21 antidepressants in adults. We assessed the certainty of evidence using GRADE. Primary outcomes were efficacy (response rate) and acceptability (discontinuations due to any cause). Secondary outcomes included symptom severity, remission rate and discontinuations due to adverse events. We estimated summary odds ratios (OR) and standardised mean differences (with 95% credibility intervals - 95% CrIs) using pairwise and network meta-analysis with random effects. This study is registered with PROSPERO (CRD42012002291). Findings We included 522 trials with 116,477 participants. The certainty of evidence was moderate to very low. In terms of efficacy, all antidepressants were more effective than placebo, with OR ranging between 2·13 (95% CrI 1·89 to 2·41) for amitriptyline and 1·38 (95% CrI 1·16 to 1·63) for reboxetine. For acceptability, agomelatine and fluoxetine were associated with fewer dropouts than placebo (OR 0·84, 95% CrI 0·72 to 0·97 and 0·88, 95% CrI 0·80 to 0·96, respectively), while clomipramine was worse than placebo (OR 1.31, 95% CrI 1·01 to 1·68). When all trials were considered, differences in OR between antidepressants ranged from 1·15 (95% CrI 1·04 to 1·27) to 1·55 (95% CrI 1·27 to 1·91) for efficacy and from 0.64 (95% CrI 0·48 to 0·86) to 0.85 (95% CrI 0·75 to 0·96) for acceptability, with wide confidence intervals on most of the comparative analyses. In head-to-head studies, agomelatine, amitriptyline, escitalopram, mirtazapine, paroxetine, sertraline, venlafaxine and vortioxetine were more effective than other antidepressants (OR range: 1.12 [95% CrI 1·00 to 1·32] to 1.96 [95% CrI 1·09 to 3·57]), while fluoxetine, reboxetine and trazodone were the least efficacious drugs (OR range: 0.51 [95% CrI 0·72 to 0·97] to 0.89 [95% CrI 0·72 to 0·97]). For acceptability, agomelatine, citalopram, escitalopram, fluoxetine, sertraline and vortioxetine were the best drugs (OR range: 0.42 [95% CrI 0·72 to 0·97] to 0.81 [95% CrI 0·72 to 0·97]), while amitriptyline, clomipramine, duloxetine, fluvoxamine, reboxetine, trazodone and venlafaxine had the highest dropout rates (OR range: 1.23 [95% CrI 1·00 to 1·32] to 2.37 [95% CrI 1·00 to 1·32]). Interpretation All antidepressants were more efficacious than placebo in adults with major depressive disorder. Smaller differences between active drugs were found when placebo-controlled trials were included in the analysis, while there was more variability in efficacy and rate of drop out in head-to-head trials. These results should serve evidence-based practice and inform patients, physicians, guideline developers and policy-makers on the relative merits of the different antidepressants.</p

IceCube Search for Earth-traversing ultra-high energy Neutrinos

The search for ultra-high energy neutrinos is more than half a century old. While the hunt for these neutrinos has led to major leaps in neutrino physics, including the detection of astrophysical neutrinos, neutrinos at the EeV energy scale remain undetected. Proposed strategies for the future have mostly been focused on direct detection of the first neutrino interaction, or the decay shower of the resulting charged particle. Here we present an analysis that uses, for the first time, an indirect detection strategy for EeV neutrinos. We focus on tau neutrinos that have traversed Earth, and show that they reach the IceCube detector, unabsorbed, at energies greater than 100 TeV for most trajectories. This opens up the search for ultra-high energy neutrinos to the entire sky. We use ten years of IceCube data to perform an analysis that looks for secondary neutrinos in the northern sky, and highlight the promise such a strategy can have in the next generation of experiments when combined with direct detection techniques

Posteriori analysis on IceCube double pulse tau neutrino candidates

The IceCube Neutrino Observatory at the South Pole detects Cherenkov light emitted by charged secondary particles created by primary neutrino interactions. Double pulse waveforms can arise from charged current interactions of astrophysical tau neutrinos with nucleons in the ice and the subsequent decay of tau leptons. The previous 8-year tau double pulse analysis found three tau neutrino candidate events. Among them, the most promising one observed in 2014 is located very near the dust layer in the middle of the detector. A posterior analysis on this event will be presented in this paper, using a new ice model treatment with continuously varying nuisance parameters to do the targeted Monte Carlo re-simulation for tau and other background neutrino ensembles. The impact of different ice models on the expected signal and background statistics will also be discussed