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We present the implementation, in the MadAnalysis  5 framework, of several ATLAS and CMS searches for supersymmetry in data recorded during the first run of the LHC. We provide extensive details on the validation of our implementations and propose to create a public analysis database within this framework.

Micro components have been demanded increasingly due to the global trend of miniaturization of products and devices. Micro milling is one of the most promising processes for micro-scale production and differs from conventional milling due to the size effect introducing phenomena like the minimum chip thickness, making the prediction of micro milling process hard. Among challenges in micro milling, tool life and tool wear can be highlighted. Understanding tool wear and modelling in micro milling is challenging and essential to maintaining the quality and geometric tolerances of workpieces. This work investigates how to model the diameter reduction of a tool caused by tool wear for micro milling of H13 tool steel. Machining experiments were carried out in order to obtain cutting parameters affecting tool wear by considering the diameter reduction. Dry full slot milling with TiAlN (titanium aluminium nitride)-coated micro tools of diameter d = 400 μm was performed. Three levels of feed per tooth ( f z = 2 μm, 4 μm and 5 μm) and two spindle speed levels ( n = 30,000 rpm and 46,000 rpm) were used and evaluated over a cutting length of l c = 1182 mm. The results show that lower levels of feed per tooth and spindle speed lead to higher tool wear with a total diameter reduction over 22%. The magnitude of the cutting parameters affecting tool wear was determined by ANOVA (analysis of variance), and the model validation meets the statistical requirements with a coefficient of determination R 2 = 83.5% showing the feasibility of the approach to predict tool wear using diameter reduction modelling in micro milling.

Additive Manufacturing of metallic parts by powder bed fusion (PBF) has great potential to build complex geometries with innovative materials in a broad field of applications; however, it also presents some limitations as residual stresses, porosities, microcracks, and high roughness that restrict your plateau of productivity. Therefore, an alternative to improve the surface condition of PBF parts is the post-processing as milling. Maraging steel 300 is an important material used in the PBF process, considering its application in different segments, like automotive, tooling, and aerospace. Although there are a few works that investigated the effects of cutting parameters on the surface condition of maraging steel 300 components produced by PBF, this work investigated the effects of different cutting speeds ( v c ) and feed per tooth ( f z ) on average roughness R a and residual stress of maraging 300 specimens. The lowest roughness level of R a  = 0.31 μm was obtained with f z  = 0.02 mm/tooth and v c  = 250 m/min. Furthermore, the cutting speed had a relevant effect on the compressive behavior of residual stresses. The feed per tooth combined with the cutting speed improved the surface roughness and the compressive residual stress of the specimens, showing the importance of considering both these parameters in the milling process planning of PBF maraging steel parts.

A method of practical interest is presented for the analysis of shallow landslides triggered by rain infiltration in unsaturated soils, such as soil slips or slab slides. The method combines an analytical solution to evaluate the change in pore water pressure due to rain infiltration whose rate is described by a general time-dependent function, and the infinite slope model to assess the occurrence of landslide due to a prescribed rainfall.

Triply periodic minimal surfaces (TPMS) enable the construction of lightweight scaffolds, complex geometry heat exchangers, and energy absorbing materials. Additive manufacturing (AM) has the potential to build such TPMS structures due to its inherent manufacturing freedom and layer-by-layer construction; however, the manufacturing orientation in AM is known to have a significant effect on the resulting mechanical properties. The main contribution of this research is the examination of the effect of manufacturing orientation and TPMS type on the mechanical properties of scaffolds manufactured by fused deposition modeling (FDM), a widely used form of AM. The combination of compressive load direction (0° and 90° with respect to the manufacturing orientation) and TPMS type resulted in large changes in compressive strength. The primitive scaffold achieved the best performance in compression tests. It also had the shortest manufacturing time and smallest quantity of support material needed for FDM manufacture. The TPMS scaffold type combined with the loading direction significantly affected the compressive strength and elastic modulus of the scaffolds, showing the importance of considering both these properties in the design of AM scaffold structures.

This work aims at applying the concepts of value stream mapping (VSM) in an auto-parts company in the ABC region of Sao Paulo. By mapping the current state of art, it was possible to identify the waste present in an assembly line of clutch discs. The future state was suggested with improvements for elimination of waste and reduction of lead time, which went from 60.5 to 4.14 days. Simulations were made using current and future states to support the suggested improvements, and reduction of 7 % in total production time was verified, as well as 10 % increase in the use of work positions. The results showed that VSM combined with simulation is a good alternative in the decision-making for change in production process.

The additive manufacture process by electric arc is growing in importance due to its high material deposition rate and application in large components. However, the process also has its limitations regarding the poor quality of the surface finish and the generation of residual stresses that require post-processing for improvements. This work investigates the metal arc additive manufacturing of mill knives cutting edges with the coated electrode DIN 8555 E6-UM-60-S and substrate material, the AISI 1020 steel. In this scenario, the effect on the change of the material deposition direction (longitudinal and transverse direction to sample length) in the residual stresses of the specimens is investigated. The following additional analyses were carried out: temperature behavior on the substrate during deposition and analysis of the microstructure in the material deposition region. The maximum average temperature in the specimens during the longitudinal deposition was 301 °C and, in the transverse, 347 °C. The longitudinal deposition resulted in lower values of residual stresses in relation to transverse deposition (difference of − 62.4 MPa at compression stress and 69.3 MPa at tensile stress).

IntroductionThe sense of agency (SoA) indicates a person’s ability to feel her/his own motor acts as actually being her/his, and through them to exert control over the course of external events. Disruptions in SoA may profoundly affect the individual’s functioning, as observed in several neuropsychiatric disorders.ObjectivesThis is the first article to systematically review studies that investigated intentional binding (IB), a quantitative proxy for SoA measurement, in neurological and psychiatric patients.MethodsEligible were studies of IB involving patients with neurological and/or psychiatric disorders. The research adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).ResultsWe included 15 studies involving 692 individuals. Risk of bias was low throughout studies. Eligible studies dealt with data from 357 patients with neuropsychiatric disorders matched with 335 HCs. Of included patients, 95 were with schizophrenia (SCZ), 30 with a putative prodromal psychosis (PP), 21 with borderline personality disorder (BPD), 66 with Parkinson’s disease (PD), 38 with an autism spectrum disorder (ASD), 29 with functional movement disorders (FMDs), 25 with Gilles de la Tourette syndrome (GTS), 52 with anorexia nervosa (AN; 22 with active disorder and 30 after they had recovered), and 10 with Cortico-Basal syndrome (CBS).Temporal binding was calculated in eleven studies using variations of the experimental procedure introduced by Haggard et al. (Haggard et al. Nat Neurosci 2002;5 382-385)(Figure 1, A), while four studies utilized a different paradigm named interval estimation (IE)(Figure 1, B).Image:ConclusionsAbnormally increased action-outcome binding was found in schizophrenia and in patients with Parkinson’s disease taking dopaminergic medications or reporting impulsive-compulsive behaviours. A decreased IB effect was observed in Tourette’s disorder and functional movement disorders whereas increased action-outcome binding was found in patients with cortico-basal syndrome. The extent of IB deviation from healthy control values correlated with the severity of symptoms in several disorders. Inconsistent effects were found for autism spectrum disorders, anorexia nervosa, and borderline personality disorder. Findings pave the way for treatments specifically targeting SoA in neuropsychiatric disorders where IB is altered.Disclosure of InterestNone Declared

A simplified method is proposed for the stability analysis of clayey slopes subjected to pore pressure changes. The method is based on the infinite slope model and takes advantage of an analytical solution to evaluate the changes in pore pressure at the potential (or pre-existing) failure surface directly from the pore pressure measurements at a piezometer which is installed above this surface. A case study documented in the literature is analysed as an application.

In the present paper, a finite element approach is proposed to analyse the mobility of active landslides which are controlled by groundwater fluctuations within the slope. These landslides are usually characterised by low displacement rates with deformations that are essentially concentrated within a narrow shear zone above which the unstable soil mass moves with deformations of no great concern. The proposed approach utilises an elasto-viscoplastic constitutive model in conjunction with a Mohr-Coulomb yield function to describe the behaviour of the soil in the shear zone. For the other soils involved by the landslide, an elastic model is used for the sake of simplicity. A significant advantage of the present method lies in the fact that few constitutive parameters are required as input data, the most of which can be readily obtained by conventional geotechnical tests. The rest of the required parameters should be calibrated on the basis of the available monitoring data concerning the change in the piezometric levels and the associated movements of the unstable soil mass. After being calibrated and validated, the proposed approach can be used to predict future landslide movements owing to expected groundwater fluctuations or to assess the effectiveness of drainage systems which are designed to control the landslide mobility. The method is applied to back-predict the observed field behaviour of three active slow-moving landslides documented in the literature.