Miracle-dz/UniFAR-FTUs huggingface dataset:
D ec 2 01 8 SEMI-PURITY FOR CYCLES WITH MODULUS

In this paper, we prove a form of purity property for the = (P,∞)-invariant replacement h 0 (X) of the Yoneda object Ztr(X) for a proper modulus pair X = (X,X∞) over a field k, consisting of a smooth proper k-scheme and an effective Cartier divisor on it. As application, we prove the analogue in the modulus setting of Voevodsky’s fundamental theorem on the homotopy invariance of the cohomology of homotopy invariant sheaves with transfers, based on a main result of [20]. This plays an essential role in the development of the theory of motives with modulus, and among other things implies the existence of a homotopy t-structure on the category MDM(k) of Kahn-Saito-Yamazaki.
An Autonomous Mobile Handling Robot Using Object Recognition

Due to the trend away from mass production to highly customized goods, there is a great demand for versatile robots in the manufacturing industry. Classic fixedprogrammed industrial robots and rail-bound transport vehicles, which are restricted to transporting standardized boxes, do not offer enough flexibility for modern factories. Machine learning methods and 3D vision can give manipulators the ability to perceive and understand the environment and therefore enable them to perform object manipulation tasks. State of the art grasp-detection methods rely on data with cumbersome annotated grasp-poses, while labelled data for object recognition only is easier to gather. This work describes the development of an automatic transport robot using a sensitive manipulator and 3D vision for autonomous transport of objects. This mobile manipulator is able to drive flexible paths, localize predefined objects and grasp them using an out-of-the-box neural network for object detection and hand-crafted methods for extracting grasp-points from depth images to avoid cumbersome grasp-point-annotated training data. Furthermore, this paper discusses problems occurring when a neural network trained on human-captured photos is applied to robot-view images.
he mediating and moderating role of burnout and emotional ntelligence in the relationship between organizational justice nd work misbehavior

The current research (Figure 1) examined the antecedents of work misbehaviors (WMBs) by means of organizational justice perceptions (as a predictor), experienced burnout (as a mediator), and emotional intelligence (as a buffer). A heterogeneous sample of 243 employees was acquired in order to assess correlative associations between the variables, a mediation effect, and two moderation effects. In order to test the mediation effect further and the model fit, structural equation modelling (SEM) was employed. Theoretical and practical implications are discussed. © 2017 Published by Elsevier España, S.L. U. on behalf of Colegio Oficial de Psicólogos de Madrid. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-
Individual differences in learning from probabilistic reward and punishment predicts 1 smoking status 2 3 4

Individual differences in learning from probabilistic reward and punishment predicts 1 smoking status 2 3 4 Authors: Laura A. Rai, Laura O’Halloran, Lee Jollans, Nigel Vahey, Conall O Brolchain, 5 Robert Whelan. 6 7 1. School of Psychology, Trinity College Dublin 8 2. School of Psychology, University College Dublin 9 3. Global Brain Health Institute, Trinity College Dublin 10 11 12 *Corresponding Author: Robert Whelan PhD 13 Address: Lloyd Building, Trinity College Dublin 14 15 16 Funding: Laura A. Rai, Laura O’Halloran and Lee Jollans are supported by funding from the Irish 17 Research Council (Project No.’s EPSPG/2017/258, GOIPG/2016/1635; GOIPG/2014/418). R. 18 Whelan is supported by Science Foundation Ireland (16/ERCD/3797) and European Foundation 19 for Alcohol Research (ERAB). 20
REACTIONS TO PARANOIA IN CLINICAL AND NON-CLINICAL POPULATIONS Emotional , cognitive and behavioral reactions to paranoia in clinical and nonclinical population

Background: Paranoia is a disruptive belief that can vary across a continuum, ranging from persecutory delusions presented in clinical settings to paranoid cognitions that are highly prevalent in the general population. The literature suggests that paranoid thoughts derive from the activation of a paranoid schema or information processing biases that can be sensitive to socially ambiguous stimuli and influence the processing of threatening situations. Method: Four groups (Schizophrenic participants in active psychotic phases, n=6; stable participants in remission, n=30; participants’ relatives, n=32; and healthy controls, n=64) were assessed with self-report questionnaires to determine how the reactions to paranoia of clinical patients differ from healthy individuals. Cognitive, emotional and behavioral dimensions of their reactions to these paranoid thoughts were examined. Results: Paranoid individuals were present in all groups. Most participants referred the rejection by others as an important trigger of paranoid ideations, while active psychotic were unable to identify triggering situations to their thoughts and reactions. This may be determinant to the different reactions and the different degree of invalidation caused by paranoid thoughts observed across groups. Conclusion: Clinical and non-clinical expressions of paranoid ideations differ in terms of their cognitive, emotional and behavioral components. It is suggested that, in socially ambiguous situations, paranoid participants (presenting lower thresholds of paranoid schema activation) lose the opportunity to disconfirm their paranoid beliefs by resourcing to more maladaptive coping strategies. Consequently, by dwelling on these thoughts, the amount of time spent thinking about their condition and the disability related to the disease increases. RUNNING HEAD: REACTIONS TO PARANOIA IN CLINICAL AND NON-CLINICAL POPULATIONS
LOOKING INTO GVCs: THE INFLUENCE OF FOREIGN SERVICES ON EXPORT PERFORMANCE July 2017

Using data from the OECD Inter-Country Input-Output database, we explore the impact of foreign services value added content of exports on export performance, specifically on duration of trade. Our data show that the share of foreign services content in manufacturing exports grows from 1995 to 2011, in a way similar to foreign goods content, and in contrast to the decreasing share of domestic services. Moreover, the share of foreign services value added content is larger for developing and emerging countries than for advanced countries. Our econometric findings confirm that foreign services value added embodied in manufacturing exports contribute positively to more resilient exports relationships, a positive effect which occurs for the three groups of manufacturing industries (high, medium and low technology industries) and, for each group, it is more pronounced for developing and emerging economies.
ANALYSIS OF SURFACE WAVES RECORDED AT A MASS MOVEMENT IN BRASÍLIA, BRAZIL: AN IMPLICATION IN HAZARD MITIGATION

Ever increasing urbanization over the thick and less cohesive soil of the Federal District (DF), Brazil has increased area's vulnerability to natural hazards, especially the soil erosion and mass movement. This preliminarily study applied noise based geophysical techniques like power spectral density (PSD), horizontal to vertical spectral ratio (HVSR), multichannel analysis of surface waves (MASW) and noise interferometry to a mass movement in Brasilia for the understating of geodynamic processes working in the background of these hazards. Here obtained results show a uniform stratigraphic peak at 2 Hz observed on all HVSR curves, a four layered shear wave section was obtained by MASW. Dispersion curve (frequency vs phase velocity) shows first and second fundamental modes at frequencies of 5 and 25 Hz, respectively. Noise correlograms show time delay larger than +- 0.5 sec on the waveforms of ZR (vertical-radial) component, mainly in acausal part. Relative velocity changes calculated by stretching technique show anomalous trends in response to rainfall events. Follow research will focus on the detection of possible changes in noise records within mass movement mainly related to natural triggering factors (rainfall and river erosion) under more controlled data conditions.
ST ] 1 D ec 2 01 5 Consistent Learning by Composite Proximal Thresholding ∗

We investigate the modeling and the numerical solution of machine learning problems with prediction functions which are linear combinations of elements of a possibly infinite-dimensional dictionary. We propose a novel flexible composite regularization model, which makes it possible to incorporate various priors on the coefficients of the prediction function, including sparsity and hard constraints. We show that the estimators obtained by minimizing the regularized empirical risk are consistent in a statistical sense, and we design an error-tolerant composite proximal thresholding algorithm for computing such estimators. New results on the asymptotic behavior of the proximal forward-backward splitting method are derived and exploited to establish the convergence properties of the proposed algorithm. In particular, our method features a o(1/m) convergence rate in objective values.
Title Knowledge base completion using distinct subgraph paths

Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models— e.g. Subgraph Feature Extractor (SFE) or its predecessor, Path Ranking Algorithm (PRA) and its variants—depend on a limited set of graph features, connecting paths. This type of features may be missing for many interesting potential links, though, and the existing techniques cannot provide any predictions at all then. In this paper, we address the limitations of existing works by introducing a new graph-based feature model – Distinct Subgraph Paths (DSP). Our model uses a richer set of graph features and therefore can predict new relevant facts that neither SFE, nor PRA or its variants can discover by principle. We use a standard benchmark data set to show that DSP model performs better than the state-of-the-art – SFE (ANYREL) and PRA – in terms of mean average precision (MAP), mean reciprocal rank (MRR) and Hits@5, 10, 20, with no extra computational cost incurred.
Diamine Modified Polysulfone and P-84 Symmetric Membranes for Hydrogen / Carbon Dioxide Separation

The separation1of H2/CO21is1technologically crucial to1produce clean and renewable H2-based energy. There are several established methods used to separate H2 from CO2, but membrane-based separation is becoming more prominent due to high energy efficiency and cost effectiveness. However, separation efficiency of existing polymeric membranes is limited due to unfavourable diffusivity and selectivity between H2 and CO2. As such, motivated research through investigating the effectiveness of diamine modification towards two different polymeric membrane materials (PSf and P-84) on their performance in H2/CO2 separation. The effects of different operating pressures and modification time on the permeance and selectivity are also studied. Comparison of pure and modified membranes will be subsequently undertaken. The fabrication of membranes is done by using controlled evaporation method. Then, the prepared membranes will undergo diamine modification using BuDA for 10 and 30 minutes reaction times. All samples were analyzed by gas permeation test for separation performance and SEM and FTIR for membranes characterization. From SEM analysis, the images show that both polymers have defect-free surfaces and porous cross-section structures. FTIR spectra validate the cross-linking reaction by observing the existence of adsorption peak at 1529 cm. This specific characteristic peak implies the occurrence of C-N stretch within the membranes. The gas permeation test shows the respective modification towards P-84 and PSf for 10 and 30 minutes reaction times causes H2 permeability to increase drastically. Based on the experimental result, P-84 membrane with 30 minutes BuDA-modification reaction time and 5 bar operating pressure gives the best overall H2/CO2 saperation performance. By increasing the time to 30 minutes, the H2/CO2 selectivity of both polymers were increased to 4.97 and 6.09, respectively compared to its neat membranes.
Procesamiento del Lenguaje Natural Looking back into the development of Chatbots and Natural Language Processing

Chatbots have become increasingly popular, partially due to a large number of tools available for developers to set up a conversational agent on popular platforms, such as Facebook, in just minutes. However, the development of conversational entities is not new, and there are many approaches to provide Natural Language Processing capabilities to such entities, in order to avoid falling into the trap of implementing chatbots that will not add value and to prevent maintaining a chatbot that relies only on if-then-else structures. The present work collects influent historical work in the field of creating conversational entities, or chatbots, and talks about some of the approaches to implement them.
Human papillomavirus type 16 variant lineages characterized by nucleotide sequence analysis of the E 5 coding segment and the E 2 hinge region

IP: 54.70. 40.11 On: Sat, 03 Aug 2019 20:46:52 Journal of General Virology (1999), 80, 595–600. Printed in Great Britain . SHORT COMMUNICATION
How management creates and realizes synergy Cross-border mergers & acquisitions Bachelor ’ s Thesis in Business Administration

Mergers and Acquisitions (M&A) have been around for a long time and has experienced waves of popularity during these times and they are very much an important part of today’s business world. M&As have also become increasingly international which can be due to the rising global competition. The popularity of cross-border M&As makes it important to look at M&As from an international perspective. One of the main reasons a company choose to M&A is growth (Lees, 2003) and there are several possible motives why a company chooses to grow through an M&A but the most common motive is to create synergy (DePhamphilis, 2005). Although synergy is one motive, according to the literature more M&As destroy value instead of creating it (Habeck, et al. 2000). This makes this subject interesting to study: especially the post-M&A phase since the integration process in this phase has been pointed out to be the riskiest, when creating synergy, but also the most crucial in order for a successful M&A (Habeck, et al. 2000; Shaver, 2006).
SYSTEMATIC LITERATURE REVIEW ( SLR ) AUTOMATION : A SYSTEMATIC LITERATURE

Context: A systematic literature review(SLR) is a m ethodology used to find and aggregate all relevant studies about a specific research question or topic f interest. Most of the SLR processes are manuall y conducted. Automating these processes can reduce th e workload and time consumed by human. Method: we use SLR as a methodology to survey the l i erature about the technologies used to automate SLR processes. Result: from the collected data we found many work done to automate the study selection process but th ere is no evidence about automation of the planning and reporting process. Most of the authors use machine learning classifiers to automate the study selectio n process. From our survey, there are processes th at are similar to the SLR process for which there are auto matic techniques to perform them. Conclusion: Because of these results, we concluded that there should be more research done on the planning, reporting, data extraction and synthesizi ng processes of SLR.
IRT in SPSS: The development of a new software tool to conduct item response models

Item Response Theory (IRT) is a modeling framework that can be applied to a large variety of different research questions in many different disciplines. Currently, there are many software packages that can be used to conduct IRT, but they can be difficult to access for a practitioner who primarily uses software like SPSS. To make IRT models more accessible for the general researcher, a tool has been created that can easily run one-parameter IRT (1PL) models on SPSS without any required downloads or add-ons. This tool takes advantage of the fact that a 1PL model is a member of the generalized linear mixed model (GLMM) family by utilizing the built-in SPSS function for GLMMs. It can run 1PL models with person and item covariates, DIF analyses, multidimensional models, IRTree models, and many other variations. It also provides the user with item and person fit statistics, item characteristic curves, item information functions, and several other options. Comparisons show that the estimates provided by this macro are very similar to those estimated from other software packages.
School of Economic s and Finance On the Mechanics of New-Keynesian Models

We scrutinize the monetary transmission mechanism in New-Keynesian models, focusing on the role of capital, the key ingredient in the transition from the basic framework to DSGE models. The widely held view that monetary policy affects output and inflation in these models through a real interest rate channel is shown to be misguided. A decline in output and inflation is consistent with a decline, increase, or no change in the real interest rate. The expected path of Taylor rule shocks and the New-Keynesian Phillips Curve are key for inflation and output; the real rate largely reflects consumption smoothing. JEL Classification Codes: E30, E40, E50.
Spillover effects in spending decisions : evidence from Italian municipalities

We investigate the fiscal interactions between Italian municipalities over the period 2001-2011, and we find a positive horizontal interdependence in spending decisions. Our results are robust to different specifications of the spatial neighbors and are confirmed by a natural experiment (earthquake in the Abruzzo region in 2009) that creates an exogenous variation in the neighbors’ spending. Furthermore, there is no evidence of yardstick competition when we consider political effects, while we do find a negative relationship between spatial interaction and the size of the municipality. Thus, we conclude that spillover effects drive the strategic interactions in spending decisions.
Have the monetary authorities of Taiwan been conducting monetary policy with tied hands ?

The monetary authorities of Taiwan have been o¢ cially adopting a exible exchange rate regime since February 1979. However, it is commonly perceived that the observed behaviour of exchange rate (de facto regime) diverges from the stated intention of the monetary authorities (de jure regime), and the divergence is likely to be large. In this paper, we estimate two versions of a small open economy model via maximum likelihood. The two versions of the small open economy share the same features and di¤er only in the speci cation of exchange rate regime and monetary policy rule. The two speci cations of the Taiwan economy are evaluated and compared based on their out-of-sample performance as well as their within-sample performance. Our goal is to ascertain which speci cation, peg or oat, ts the data best in terms of explaining the business cycle properties of the Taiwanese economy. We nd that the xed exchange rate model clearly outperforms the exible exchange rate model in terms of its ability to track the data. This implies the exchange rates should be described as a de facto peg. JEL Codes: C51, E42, F41
Teleomorph – anamorph relationships and reclassifi cation of Cordyceps cuboidea

Based on morphological characteristics and molecular phylogeny, we reclassifi ed Cordyceps cuboidea and allied species C. alboperitheciata, C. prolifi ca, and Ophiocordyceps ryogamiensis. We investigated their teleomorph-anamorph relationships and revealed that these four species have Hirsutella-like anamorphs with morphological differences between them. By analyzing their molecular phylogeny, inferred from DNA sequences of internal transcribed spacer (ITS) and large subunit (LSU) D1/D2 region of rDNA, they were separated into four close-knit clades. Although C. prolifi ca and O. ryogamiensis formed their own clades, isolates of C. cuboidea separated into two clades, i.e., a true C. cuboidea clade and one resembling a new species, the O. paracuboidea clade. The latter two species are distinguished by the fruiting region of the stroma. In addition, C. alboperitheciata is regarded as a synonym of C. cuboidea. From the morphology, teleomorph-anamorph relationships, and molecular phylogeny, we concluded these species should be assigned to the genus Ophiocordyceps.
TM : Micromachined UltraSound Integrated Circuit

Here, we present a novel ultrasound transducer which can be considered as a micromachined ultrasound integrated circuit in which a combination of micromachined dome-shaped piezoelectric resonators arranged in a unique flexible architecture. By mixing these basic cells and modifying their dimensions by lithography, adjustable frequency spectrum can be achieved similar to a radio frequency integrated circuit (RFIC). Unique features such as high sensitivity (more than 100kPa/V), adjustable widebandwidth frequency response, CMOS-compatible low transmit voltage (2V-40V), intrinsic acoustic impedance match to water and reliable monolithic fabrication process are demonstrated. We envision that this technology can be implemented as a desirable solution in high performance 3D/4D, low-power portable and in-vivo imaging systems.
Patent Races in the Real World: Empirical evidence on when they happen and what impact they have on innovation

This paper provides a first broad-based empirical view of how patent races happen in the real world. Although patent races have long been discussed, theory work has provided a multiplicity of potential economic behaviors and outcomes that could result. Empirical studies have been needed to resolve this, but have been hindered by difficulty in observing when multiple firms are working towards the same invention. We address this problem by exploiting two features of the patent system. Firstly, we use detailed patent office correspondence to identify when an examiner rejects coverage for the later patent because that same invention was covered in the earlier firm╆s filing┻ Secondly, we use the delay in the publication of patent applications to focus on the time period when both the firm that wins the patent race and the firm that loses the race can file patents believing that they are the first-to-file. Together, these allow us to identify firms racing for patent coverage on the same invention. We observe that patent racing is common, with 10-11% of all patents involved in a race of some kind. These races happen most often in certain types of technology (computers, networking, communications), and less often in others (biotechnology, mechanical). Using a regression discontinuity approach, we then look for the causal effect of winning a patent race. Not surprisingly, we find robust evidence that the firms that win the patent race are less likely to abandon their patent applications, more likely to get broad patent scope, and more likely to keep their patents in force by paying the maintenance fees. We also find evidence that, as compared to the firms losing patent races, patent race winners do more follow-on innovation in the area of the patent, but less in other areas, and that the net effect of this is that they grow R&D less rapidly. 1 MIT Sloan School of Management. 2 PhD Candidate, UC Berkeley Haas School of Business. 3 The authors would like to thank the Hoover Institution Working Group on Intellectual Property, Innovation, and Prosperity for generous financial support during the preparation of this paper, and Douglas Hanley for providing patent-firm matching information. We would also like to thank Pierre Azoulay, Noam Yuchtman, Rui de Figueiredo and the seminar group at the College of Management of Technology at EPFL for helpful suggestions on drafts of the paper.