Brief Mood Introspection Scale (BMIS): Technical and Scoring Manual (3rd Edition)

The BMIS scale is an open-source mood scale consisting of 16 mood-adjectives to which a person responds (e.g., Are you happy ?). The scale can yield measures of overall pleasant-unpleasant mood, arousal-calm mood, and it also can be scored according to positive-tired and negative-calm mood

The Use of Fault Trees for the Design of Robots for Hazardous Environments

This paper addresses the application of fault trees to the analysis of robot manipulator reliability and fault tolerance. Although a common and useful tool in other applications, fault trees have only recently been applied to robots. In addition, most of the fault tree analyses in robotics have focused on qualitative, rather than quantitative, analysis. Robotic manipulators present some special problems, due to the complex and strongly coupled nature of their subsystems, and also their wild response to subsystem failures. Additionally, there is a lack of reliability data for robots and their subsystems. There has traditionally been little emphasis on fault tolerance in the design of industrial robots, and data regarding operational robot failures is relatively scarce.National Science FoundationSandia National LaboratoryNAS

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets

Attributing a piece of malware to its creator typically requires threat intelligence. Binary attribution increases the level of difficulty as it mostly relies upon the ability to disassemble binaries to identify authorship style. Our survey explores malicious author style and the adversarial techniques used by them to remain anonymous. We examine the adversarial impact on the state-of-the-art methods. We identify key findings and explore the open research challenges. To mitigate the lack of ground truth datasets in this domain, we publish alongside this survey the largest and most diverse meta-information dataset of 15,660 malware labeled to 164 threat actor groups

The MAGNEX spectrometer: results and perspectives

This article discusses the main achievements and future perspectives of theMAGNEX spectrometer at the INFN-LNS laboratory in Catania (Italy). MAGNEX is alarge acceptance magnetic spectrometer for the detection of the ions emitted innuclear collisions below Fermi energy. In the first part of the paper anoverview of the MAGNEX features is presented. The successful application to theprecise reconstruction of the momentum vector, to the identification of the ionmasses and to the determination of the transport efficiency is demonstrated byin-beam tests. In the second part, an overview of the most relevant scientificachievements is given. Results from nuclear elastic and inelastic scattering aswell as from transfer and charge exchange reactions in a wide range of massesof the colliding systems and incident energies are shown. The role of MAGNEX insolving old and new puzzles in nuclear structure and direct reaction mechanismsis emphasized. One example is the recently observed signature of the longsearched Giant Pairing Vibration. Finally, the new challenging opportunities touse MAGNEX for future experiments are briefly reported. In particular, the useof double charge exchange reactions toward the determination of the nuclearmatrix elements entering in the expression of the half-life of neutrinolessdouble beta decay is discussed. The new NUMEN project of INFN, aiming at theseinvestigations, is introduced. The challenges connected to the major technicalupgrade required by the project in order to investigate rare processes underhigh fluxes of detected heavy ions are outlined

3D sensors for the HL-LHC

In order to increase its discovery potential, the Large Hadron Collider (LHC) accelerator will be upgraded in the next decade. The high luminosity LHC (HL-LHC) period demands new sensor technologies to cope with increasing radiation fluences and particle rates. The ATLAS experiment will replace the entire inner tracking detector with a completely new silicon-only system. 3D pixel sensors are promising candidates for the innermost layers of the Pixel detector due to their excellent radiation hardness at low operation voltages and low power dissipation at moderate temperatures. Recent developments of 3D sensors for the HL-LHC are presented.Comment: 8 pages, 5 figures, International Workshops on Radiation Imaging Detectors 201

Support Vector Motion Clustering

This work was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments (which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA n 2010-0012) and by the Artemis JU and the UK Technology Strategy Board through COPCAMS Project under Grant 332913