Miracle-dz/UniFAR-FTUs huggingface dataset:
Latest measurements in single top quark with the CMS experiment

The latest measurements obtained by the CMS Collaboration in single top quark production are summarized. We present both inclusive and differential cross section measurements in different production modes, which lead to constraints on proton parton distribution functions (PDFs) and measurements of the Cabibbo-Kobayashi-Maskawa (CKM) matrix element |Vtb| and top quark spin asymmetry A`; we also show searches for rare Standard Model (SM) processes, such as the first observation of tZq associated production and the first evidence for tγq associated production.
11th World Congress on Structural and Multidisciplinary Optimization

1. Abstract A level set method is developed for the representation of multiple types of boundaries, and it is applied in two structural shape and topology optimization problems. The first problem is the optimization of both structure and support, where both the homogeneous Neumann boundary and the Dirichlet boundary are optimized. The second problem is the optimization of structures subjected to pressure load, where both the non-homogeneous and homogeneous Neumann boundaries are optimized. In order to address the issue that how to represent different types of boundaries of a structure, a new scheme of representation is proposed. Two independent level set functions are used for the representation. The two types of boundaries are represented separately and are allowed to be continuously propagated during the optimization. The optimization problem of minimum compliance is considered. 2.
Personal choices and situated data: Privacy negotiations and the acceptance of household Intelligent Personal Assistants

The emergence of personal assistants in the form of smart speakers has begun to significantly alter people’s everyday experiences with technology. The rate at which household Intelligent Personal Assistants such as Amazon’s Echo and Google Home emerged in household spaces has been rapid. They have begun to move human–computer interaction from text-based to voice-activated input, offering a multiplicity of features through speech. The supporting infrastructure connects with artificial intelligence and the internet of things, allowing digital interfaces with domestic appliances, lighting systems, thermostats, media devices and more. Yet this also constitutes a significant new production of situated and sensitive data. This study focuses on how (potential) users negotiate and make choices about household Intelligent Personal Assistant use in connection with their data. This study is based on empirical research in Europe with early adopters in Germany and potential users in the Netherlands. This examination of users’ early stage technology acceptance considerations highlights particular practices and choices of users to either preserve their privacy or determine what is acceptable use for their data. Drawing on a simplified version of Unified Theory of Acceptance and Use of Technology 2, a quantitative model for technology acceptance, we demonstrate how acceptance of a household Intelligent Personal Assistants does not imply access to all household data, how users see usefulness in relation to a proliferation of devices, and note the recognition by users regarding the efforts needed for full use and acceptance. The study highlights the complexity of data production at a household level and how these devices produce myopic views of users for platforms.
Tool for programmed open-die forging – case study

An open-die forging process as referred to in the following assumptions is a process where plastic material is compressed in one main axis only and the spread into the two other main axes is not limited. In view of present competitive markets modern open-die forging plants are highly dynamic production plants and vastly explore possibilities of programmed forging. Computer aided technology tools for programmed forging is the basis for innovative and cost effective technology planning which consider the performance limits of forging equipment and material in order to achieve the optimum productivity. Izvleček: Proces prostega kovanja, ki je obravnavan v tej študiji, je postopek, kjer je material tlačno deformiran v eni smeri, v ostalih dveh pa se prosto širi. Na današnjem izredno konkurenčnem trgu so obrati prostih kovačnic izredno dinamični obrati in široko izkoriščajo možnost programiranega kovanja. Računalniško podprta tehnološka orodja za programirano kovanje so osnova za inovativno in cenovno učinkovito planiranje proizvodnje. Ta preuči meje zmožnosti stiskalnice in mejne vrednosti materiala, ter na podlagi teh določi optimalne pogoje preoblikovanja.
Secure and Fair Computations on Forking Blockchains

In this work we consider ﬁnality issues in forking blockchains (as Bitcoin and Ethereum), and study security and eﬃciency of distributed protocols that leverage on them. In particular, we focus on multi-party computation (MPC) protocols run on-chain with the aid of smart contracts where honest players face the following dilemma: Should I immediately rush sending the next protocol message based on my current view of the blockchain, or rather wait that prior messages are ﬁnal on the blockchain before sending the next one? To the best of our knowledge, the (implicit) default option used in previous work is the second one, and thus known on-chain MPC protocols take long time to be executed on those blockchains with poor ﬁnality (e.g., several hours per transaction in Bitcoin). We observe that while rushing would clearly be preferable for eﬃciency, we show that this is not necessarily the case for security, as there are natural examples of on-chain MPC protocols that simply become insecure in presence of rushing players. Our contributions are twofold:
Risk map generation system for intelligent vehicles on community roads via data-driven approach

The aim of this study is to develop a risk map generation system on community roads via a data-driven approach. Because there are no roadside cooperative sensing systems on community roads, intelligent motion controls need the prediction of surrounding traffic participants based on a digital map. In addition, to improve the driver acceptance of the system, adaptive motion control considering the risk level at various intersections is desirable. In general, existing risk map preparation methods need too many human resources to prepare the map data for nationwide community roads. To solve this problem, we design a risk map generation system that can be systemized as much as possible for future automated process. First, our proposed system collects the driving data via non-specialized drivers using relatively usual vehicles at various intersections. Next, the system classifies the driving behavior via feature values with regard to the deceleration operation while approaching non-signalized intersections. Based on the driving data of relatively careful drivers, the system extracts the positions of pseudo intersections that are not registered in the digital map. In addition, the system estimates the risk level of intersections based on the driving data of relatively interactive drivers. To confirm the feasibility of the proposed system, we collect the driving data of 45 elderly drivers. According to the evaluation, the system adequately detects the pseudo intersections on actual roads. The estimation results of the risk level show the substantial agreement with the risk evaluations of driving school instructors regarding basic intersections.
Quality of Living Among Ovarian Germ Cell Cancer Survivors: A Narrative Analysis

Melinda M. Swenson, RN, PhD, is an associate professor of nursing and Jessica S. MacLeod, RN, BSN, is a doctoral student, both in the School of Nursing at Indiana University in Indianapolis; Stephen D. Williams, MD, is director of the Indiana University Cancer Center; and Anna M. Miller, RN, DNS, is a research scientist and Victoria L. Champion, RN, DNS, is a professor and associate dean for research, both in the School of Nursing at Indiana University. This project was supported, in part, by the National Cancer Institute (RO1 CA77470) and the Gynecologic Oncology Group. (Submitted November 2001. Accepted for publication January 15, 2003.)
Case-mix methodology for the NHS outcomes framework GP Patient Survey Questionnaire Data

The objective of the research described in the current report was to explore alternative methodologies which could be used to determine whether the health status of people living with long- term conditions in England is changing over time, all other factors being equal. Data from the Health Survey for England (HSE) were used in the analyses and EQ-5D was used to represent health related quality of life (HRQoL). The proposed case mix ratio approach which utilised ordinary least square regressions (with the EQ-5D preference - based score as the dependent variable) was replicated and alternatives using logistic regressions and two part models (both using the responses to the EQ-5D health dimensions as the dependent variables) were explored. An alternative method using the HSE year as a performance indicator (PI) was explored and results presented for the four most prevalent health conditions. Results were compared in terms of errors in predicted scores and the ability to capture changes in the distributions of the preference-based scores. Both expected and simulated values were compared.
SATISFACTION WITH LIFE AMONG PORTUGUESE AND INDIAN ADOLESCENTS FROM IMMIGRANT FAMILIES IN PORTUGAL

This study has examined the level of satisfaction with life among adolescents whose families are from India, in comparison with Portuguese adolescents who did not go through an acculturation process and sociodemographic and mental health factors which allowed the prediction of the satisfaction level among them. There were 542 adolescent participants. Three hundred and sixty six were Portuguese and 175 belonged to families coming from India. The participants completed the Revised UCLA Loneliness, the Satisfaction With Life Scale, and a short biographical form. The hypotheses were supported. Indian adolescents and Portuguese adolescents who did not go through an acculturation process did not differ significantly on satisfaction with life. Psychological constructs were more important in the prediction of satisfaction with life than the sociodemographic variables. This work was supported by the Portuguese Science and Technology Foundation, Grant No PTDC/PSI/69887/2006. Key-Words: adolescents, ethnocultural groups, mental health, migration, satisfaction with life. Migration has often been viewed as a highly stressful process and a number of studies have explored its psychological impact by focusing on the prevalence of mental illness in different immigrant groups (Cochrane, 1977; Rack, 1988). However, such studies tend to define mental ill health in terms of admissions to psychiatric hospitals, thus limiting the area of study to the more severe forms of psychological distress. Subjective well-being is a growing area of psychology that focuses on how people evaluate their lives. Most researchers agree that there are three specific components of subjective well-being that can be operationalized and measured. Two of these components are within the affective domain and the other in the cognitive domain (Diener, 2000; Myers & Diener, 1995). The affective components include the presence of positive affect such as happiness or good feelings and the absence of negative affect.
Observation-Based Attitude Realization for Accurate Jason Satellite Orbits and Its Impact on Geodetic and Altimetry Results

For low Earth orbiting satellites, non-gravitational forces cause one of the largest perturbing accelerations. During a precise orbit determination (POD), the accurate modeling of the satellite-body attitude and solar panel orientation is important since the satellite’s effective cross-sectional area is directly related to the perturbing acceleration. Moreover, the position of tracking instruments that are mounted on the satellite body are affected by the satellite attitude. For satellites like Jason-1/-2/-3, attitude information is available in two forms—as a so-called nominal yaw steering model and as observation-based (measured by star tracking cameras) quaternions of the spacecraft body orientation and rotation angles of the solar arrays. In this study, we have developed a preprocessing procedure for publicly available satellite attitude information. We computed orbits based on Satellite Laser Ranging (SLR) observations to the Jason satellites at an overall time interval of approximately 25 years, using each of the two satellite attitude representations. Based on the analysis of the orbits, we investigate the influence of using preprocessed observation-based attitude in contrast to using a nominal yaw steering model for the POD. About 75% of all orbital arcs calculated with the observation-based satellite attitude data result in a smaller root mean square (RMS) of residuals. More precisely, the resulting orbits show an improvement in the overall mission RMS of SLR observation residuals of 5.93% (Jason-1), 8.27% (Jason-2) and 4.51% (Jason-3) compared to the nominal attitude realization. Besides the satellite orbits, also the estimated station coordinates benefit from the refined attitude handling, that is, the station repeatability is clearly improved at the draconitic period. Moreover, altimetry analysis indicates a clear improvement of the single-satellite crossover differences (6%, 15%, and 16% reduction of the mean of absolute differences and 1.2%, 2.7%, and 1.3% of their standard deviations for Jason-1/-2/-3, respectively). On request, the preprocessed attitude data are available.
Adaptive Leader-Follower Coordination of Lagrangian Multi-Agent Systems under Transient Constraints

This paper presents a novel control methodology for the coordination of a multi-agent system with 2nd order uncertain Lagrangian dynamics, while guaranteeing collision and connectivity properties in the transient state. More specifically, we consider that a leader agent aims at tracking a desired pose, while all the agents must avoid collisions with each other. Motivated by cooperative tasks, we also consider that a subset of the initially connected agents must remain connected, in the sense of a connected sensing graph. We employ a key property of the incidence matrix and integrate potential fields with discontinuous adaptive control laws to compensate for unknown dynamic parameters of the model and external disturbances. Simulation results in a realistic dynamics engine illustrate the theoretical findings.
The many whys of the psycholinguistics of gesture. (Church, R. B., Alibali, M. W., & Kelly, S. D. (Eds.) (2017). Why gesture? How the Hands Function in Speaking, Thinking and Communicating. Amsterdam: John Benjamins.)

“Why gesture? ” — this question is in the title of the seventh volume of John Benjamins book series dedicated to gesture studies. With two monographs (Gesturecraft by Jurgen Streeck (2009) and Elements of Meaning in Gesture by Genevieve Calbris (2011) and four edited volumes (Cienki & Müller, 2008; McNeill, Duncan, Cassell, & Levy, 2007; Pika & Liebal, 2012; Stam & Ishino, 2011) published so far, the “Gesture studies” book series (edited by Adam Kendon) now constitutes a representative body of texts reflecting the multifaceted nature of this dynamic area of linguistics, that instead of traditional view characterized by the label “non-verbal communication” approaches language in an integrative way, viewing it as multimodal and semiotically diverse communication system. The latest contribution to the series is a collection of 18 chapters edited by Ruth Breckinridge Church (Northeastern Illinois University), Martha Alibali (University of Wisconsin-Madison) and Spencer Kelly (Colgate University) that focus on hand gestures’ role in “speaking, thinking and communicating” as the book’s subtitle tells us. The title question is a bit enigmatic (certainly intentionally), due to the polysemy of the English noun/verb gesture: one may wonder if it is supposed to mean why do we gesture? or perhaps why, of all possible means of nonverbal communication, humans favour gesture? In the introductory chapter, the editors clarify, that what they are actually asking is “What are the many and varied effects of gesture for producers and observers, and how can one account for these effects in neural, cognitive and social terms? ” (p. 5). It is not only the effects, but also the causes of gesturing what is in focus — the editors set the scene of this book by reflecting Aristotle’s framework for describing complex behaviours (efficient cause and final cause as described in his Physics and Metaphysics) The editors further explain that the book’s focus is on two areas: Mechanisms of cognitive processing of gestures (psycholinguistics of gesture, describing the efficient cause of gesture) and functions of gestures in human communication (i.e., studies analysing the final cause of gesture). Another way of looking at this book is through the lens of its contributors: we can see that the majority of the authors are currently based in the United States or Cana da (11 out of 18). To be more specific, most of the contributors are affiliated to universities in the Midwest of the United States, an area with a symbolic epicentre at the University of Chicago, which, thanks to David McNeill and Susan Goldin-Meadow,
Trauma Systems Therapy Building Better Systems for Traumatized Children

TST as a clinical model Trauma Systems Therapy (TST) is a comprehensive model for treating traumatic stress in children and adolescents that adds to individually-based approaches by specifically addressing the child’s social environment and/or system of care. TST was designed to provide an integrated and highly coordinated system of services guided by the specific understanding of the nature of child traumatic stress. Specifically, this model conceptualizes the development of a ‘Trauma System’, which is comprised of two main elements:
The influence of the partially europium substitution on the AC electrical properties of BiSr2CaCu2O6.5 ceramics

In this work, EuxBi1-xSr2CaCu2O6.5 (where x = 0, 0.3, 0.5) samples were prepared by solid-state reaction method and sintered at 950? C for 24 h. The structural characterizations were done by X-ray diffraction, X-ray fluorescence, scanning electron microscope and Fourier transformed infrared spectroscopy. The thermal stability of the samples was also analysed by thermogravimetric TG and DTA measurements. It was shown that Eu0.5Bi0.5Sr2CaCu2O6.5 sample exhibited high dielectric constant and low dielectric loss relative to BiSr2CaCu2O6.5 material. Thus, the dielectric loss was lowered by heavy rare earth metal substitution on Bi-Sr-Ca-Cu-O ceramics while the dielectric constant still remained high. Temperature-dependent complex electrical modulus spectra obtained between 296 and 433K also revealed the temperature-activated relaxation process in the materials which can be attributed to the Maxwell-Wagner type polarization effect. Ultimately, it was suggested that the Eu0.5Bi0.5Sr2CaCu2O6.5 ceramics may have a promising potential for applications which require high dielectric constant with a low dielectric loss.
Lexical organization in bilinguals and L2 learners

The current study investigates how bilinguals and second language learners’ mental lexicons are organized. Studying how learners access their mental lexicon provides information on how cognates (words with similar or identical form) are represented in the mental lexicon, and further whether the mental lexicons are overlapped or unconnected. Through a lexical decision experiment, reaction times to cognates and noncognates of corresponding frequencies were compared. We tested whether accessing a word in one lexicon activated its counterpart in the other (nonselective access), or only activated the representation in the used language (selective access). Nonselective access suggests that cognates have one shared representation across languages, and selective access proposes that cognates have two separate representations (one for each language). The results showed no differences in reaction times, suggesting evidence for lexical access being selective, that cognates have two representations in the mind, and that the mental lexicons are unconnected. There were no differences in reaction times between the bilingual and L2 learner group, indicating that proficient L2 learners and bilinguals access their mental lexicons comparably, suggesting similar lexical organization.
Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling

Identifying scalability bottlenecks in parallel applications is a vital but also laborious and expensive task. Empirical performance models have proven to be helpful to find such limitations, though they require a set of experiments in order to gain valuable insights. Therefore, the experiment design determines the quality and cost of the models. Extra-P is an empirical modeling tool that uses small-scale experiments to assess the scalability of applications. Its current version requires an exponential number of experiments per model parameter. This makes the creation of empirical performance models very expensive, and in some situations even impractical. In this paper, we propose a novel parameter-value selection heuristic, which functions as a guideline for the experiment design, leveraging sparse performance-modeling, a technique that only needs a polynomial number of experiments per model parameter. Using synthetic analysis and data from three different case studies, we show that our solution reduces the average modeling costs by about 85% while retaining 92% of the model accuracy.
Efficient Certificateless Aggregate Signature Scheme for Performing Secure Routing in VANETs

Certificateless public key cryptosystem solves both the complex certificate management problem in the public key cryptosystem based on the PKI and the key escrow issue in the public key cryptosystem based on identity. The aggregator can compress n different signatures with respect to n messages from n signers into an aggregate signature, which can help communication equipments to save a lot of bandwidth and computing resources. Therefore, the certificateless aggregate signature (CLAS) scheme is particularly well suited to address secure routing authentication issues in resource-constrained vehicular ad hoc networks. Unfortunately, most of the existing CLAS schemes have problems with security vulnerabilities or high computation and communication overheads. To avoid the above issues and better solve the secure routing authentication problem in vehicular ad hoc networks, we present a new CLAS scheme and give the formal security proof of our scheme under the CDH assumption in the random oracle model. We then evaluate the performance of our proposed CLAS scheme, and the results demonstrate that our proposal is more practical in resource-constrained vehicular ad hoc networks.