Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of characteristics of expatriation on expatriates' perceived career success.

The impact of expatriation on perceived career success of expatriates remains relatively unknown. This study has therefore focused on the influence of characteristics of expatriation on the perceived career success of expatriates. The influence of characteristics at the organizational level and at the individual level on both perceived internal and perceived external career success were studied. Data were collected using an online questionnaire from 73 expatriates from 26 different home countries working in 11 different countries in various industries. Results using regression analyses showed that network mechanisms and contact with the parent organization are important for a positive perceived career success of expatriates. The results are discussed in terms of theory and organizational practice.
Diving into Complexity: Developing Probabilistic Decentralized Thinking through Role-Playing Activities.

There is a growing interest in role-playing activities, both in school classrooms and in the culture at large. Despite this growing interest, role-playing activities are rare in mathematics and science classrooms. In social-studies activities, a major goal is to help students adopt the perspective of another person. But mathematics and science classes typically discourage this type of perspective-taking; science is usually taught as a process of detached observation and analysis of phenomena, not active participation within phenomena. In this paper, we argue that role-playing activities can play a powerful role in mathematics and science education—particularly in the study of the new “sciences of complexity. ” We present detailed descriptions and analyses of two role-playing activities that we have organized. Each activity is designed to help students explore (in a very participatory way) the behaviors of complex systems, helping them develop better intuitions on how complex phenomena can arise from simple interactions and predictable patterns from random events.
Genetics of Dothistromin Biosynthesis in the Peanut Pathogen Passalora arachidicola

The peanut leaf spot pathogen Passalora arachidicola (Mycosphaerella arachidis) is known to produce dothistromin, a mycotoxin related to aflatoxin. This is a feature shared with the pine needle pathogen Dothistroma septosporum (Mycosphaerella pini). Dothistromin biosynthesis in D. septosporum commences at an unusually early stage of growth in culture compared to most other fungal secondary metabolites, and the biosynthetic genes are arranged in fragmented groups, in contrast to aflatoxin gene clusters. Dothistromin biosynthetic genes were identified and studied in P. arachidicola to determine if the attributes described in D. septosporum are shared by another dothistromin-producing species within the Class Dothideomycetes. It was shown that dothistromin biosynthesis is very similar in the two species with regard to gene sequence and gene synteny. Functional complementation of D. septosporum mutants with P. arachidicola dothistromin genes was also possible. These similarities support a vertical mode of dothistromin gene transmission. P. arachidicola also produced dothistromin at an early growth stage in culture, suggesting that this type of regulation pattern may be relevant to the biological role of dothistromin.
Computation at the Onset of Chaos

Computationat levelsbeyondstorageandtransmissionof informationappearsin physical systemsat phasetransitions.We investigatethis phenomenonusingminimal computational modelsof dynamicalsystemsthat undergo a transitionto chaosasa function of a nonlinearity parameter.For period-doublingandband-mer ging cascades, we deriveexpressionsfor the entropy,the interdependenceof -machinecomplexityandentropy,andthe latentcomplexity of the transitionto chaos.At the transitiondeterministicfinite automatonmodelsdiverge in size. Although thereis no regularor context-freeChomskygrammarin this case,we give finite descriptionsat the highercomputationalevel of context-freeLindenmayersystems.We constructa restrictedindexedcontext-freegrammarand its associatedone-way nondeterministicnestedstackautomatonfor the cascadelimit language. This analysisof a family of dynamicalsystemssuggestsa complexity theoreticdescriptionof phasetransitionsbasedon the informationaldiversity andcomputationalcomplexityof observeddatathat is independent of particularsystemcontrol parameters.The approachgives a muchmorerefinedpictureof the architectureof critical statesthan is availablevia correlationfunctions,mutual information,andstatisticalmechanicsgenerally.The analytic methodsestablishquantitativelythe longstandingobservationthat significant computationis associatedwith the critical statesfound at the borderbetweenorderandchaos. Appearing in Complexity, Entropy, and Physics of Information, W. Zur ek, editor, Addison-Wesley,Reading, Massachusetts(1989). *JPC’sInternetaddressis chaos@gojira.berkeley. edu. KY’s permanentaddress:PhysicsBoardof Studies,University of California,SantaCruz, CA 95064.His Internetaddressis karl@gojira.berkeley. edu
Estudio y modelización acústica del habla espontanea en diálogos hombre/máquina y entre personas

En esta tesis se describe, en primer lugar, un nuevo esquema de anotacion de fenomenos de habla espontanea, asi como su aplicacion a dos bases de datos, una de ellas ligada a una tarea y formada por dialogos hombre-maquina, y la otra completamente generica y formada por dialogos naturales entre personas. Se ha estudiado y comparado la distribucion de fenomenos en ambas bases de datos, su dependencia de la duracion y de la identidad del hablante, asi como la posibilidad de utilizar fenomenos acusticos, lexicos y pragmaticos para predecir la presencia de reformulaciones. A continuacion se describen las caracteristicas principales del sistema de reconocimiento del GRFyTH, dedicando una mayor extension a los modelos acusticos y las alternativas de estimacion. Se presentan resultados de decodificacion acustico-fonetica (DAF) y de reconocimiento que muestran la degradacion que experimentan los sistemas de reconocimiento frente al habla espontanea. Para reducir dicha degradacion, en primer lugar se propone modelar explicitamente los fenomenos de tipo acustico. Esto conduce a reducciones sustanciales del error, de entre el 11 y el 13% en DAF y de hasta el 20% en reconocimiento. Por ultimo se propone un algoritmo de clustering que trata de identificar automaticamente conjuntos de hablantes con caracteristicas similares, de manera que sea posible, para cada senal de entrada, elegir el grupo de hablantes mas afin, lo cual deberia mejorar el rendimiento. Tanto el algortimo de clustering como la funcion de seleccion estan basadas en un modelo acustico muy simple que, sin embargo, muestra una gran precision y coherencia. Aunque los modelos de grupos de hablantes no mejoran el rendimiento de los modelos de genero, tienen muchas posibilidades de exito si se aplican sobre bases de datos lo bastante grandes, que permitan obtener estimaciones robustas de los modelos acusticos.
RDF-based IT Configuration Management Database

These days, a lot of organizations are highly dependent on their IT infrastructure. Many organizational service provisioning processes are depending on reliable and high-quality IT services. Therefore the area of IT Service Management (ITSM) has become a very important disciple. One of the most established ITSM approaches is the IT Infrastructure Library (ITIL) Version 3, a set of best practices for managing IT infrastructures. ITIL V3 proposes the concept of maintaining a Configuration Management System (CMS), which aggregates the data of multiple Configuration Management Databases (CMDB). This concept supports the management of heterogeneous IT environments as well as guaranteeing the integrity of the maintained infrastructure data. The developed Semantic Configuration Management Database (SeConD) framework provides the common functionalities required by a CMDB for managing IT infrastructures. In contrast to already existing open source solutions, the developed framework is based on a standardized data model; in this case the Common Information Model (CIM). The goal of this thesis is mapping the object-oriented CIM model to a semantic data model. This has been leading to the development of a CMDB framework which leverages Semantic Web technologies. Based on the resulting CIM ontology, a semantic CMDB framework has been established. The primary focus of the resulting CMDB lies in the area of storing IT-related Configuration Items (CI) provided by Web Based Enterprise Management (WBEM) enabled hosts. Therefore a Triplestore database provides the required storage back-end capabilities. The SeConD framework only implements the required functionalities in the scope of a single CMDB. Further CMS and business logic parts are not incorporated directly since they are out of the scope of this thesis. The SeConD framework is an enabler for further work in the area of semantic CMDB research. This allows examining the possibilities of using predicate logic for consistency purposes as well as business rule integration. Therefore further work would include the practical application of this framework in a smaller testbed to collect performance indicators for the reasoning process as well as the performance impact of increasing rule complexity.
Automated Approaches for Classifying Structures

In this paper we study the problem of classifying chemical compound datasets. We present an algorithm that first mines the chemical compound dataset to discover discriminating sub-structures; these discriminating sub-structures are used as features to build a powerful classifier. The advantage of our classification technique is that it requires very little domain knowledge and can easily handle large chemical datasets. We evaluated the performance of our classifier on two widely available chemical compound datasets and have found it to give good results.
DEFENSIVE FUNCTIONING IN INDIVIDUALS WITH BORDERLINE PERSONALITY ORGANIZATION IN THE LIGHT OF EMPIRICAL RESEARCH

This article attempts to describe borderline personality organization from the point of view of the defense mechanisms constellation. A brief theoretical review has been provided, and results of classical and more recent empirical studies in this area have been presented; the author’s own research on defense mechanisms employed by individuals with BPO has been described. The larger part of the results are in accord with accepted theoretical assumptions, namely, that individuals with BPO are characterized by a high index use of primitive defense mechanisms, and with a concomitant low index use of more developmentally mature defenses.
Une infrastructure d'évaluation pour des techniques de représentation de l'information non-géométrique dans les environnements virtuels 3D

Augmenting 3D virtual environments with non-geometrical information improves our understanding of geometrical objects and links between objects in order to perform tasks which require non-geometric information and a 3D scene at the same time. Many interactive presentation techniques have been devised to incorporate non-geometric information into 3D virtual environments. Our main objective is to create an evaluation grid to be used for comparing the usability of techniques according to the information to display, the geometrical context and the task. In this article, we present an evaluation framework that we have developed in order to perform usability tests. These tests will let us fill-in the evaluation grid for the representation techniques of non-geometric information.
Recursive Bayesian state estimation from Doppler-shift measurements

The problem is recursive Bayesian estimation of position and velocity of a moving object using asynchronous measurements of Doppler-shift frequencies at several separate locations. By adopting a stochastic dynamic target motion model and assuming that the frequency of the emitting tone is known, the paper develops the theoretical Carme´r-Rao lower bound for the estimation error as a good indicator of target state observability. Furthermore, a particle filter for the recursive target state estimation is developed and its error performance compared to the theoretical CRLB. Initialisation of the particle filter using Doppler-shift measurement presents itself as a serious challenge.
High Field X-ray Diffraction Study for Ni 46 . 4 Mn 38 . 8 In 12 . 8 Co 2 . 0 Metamagnetic Shape Memory Film

The transformation behaviors on metamagnetic shape memory Ni46.4Mn38. 8In12.8Co2. 0 film were investigated by X-ray diffraction experiments in the temperature up to 473 K and magnetic fields μ0H up to 5 T. The prepared film showed the parent phase with L21 structure at 473 K, and with preferred orientation along the 111 plane. The magnetic field induced reverse transformation was directly observed at T = 366 K, which was just around the reverse transformation starting temperature.
The effects of single-trial averaging upon the spatial extent of fMRI activation

We examined effects of trial averaging upon spatial extent, spatial topography, and temporal properties of fMRI activation. Two subjects participated in an event-related visual stimulation design. There was an exponential relation between number of trials and spatial extent, such that additional trials identified, on average, a constant proportion of the remaining voxels. At values typical of fMRI experimentation (e.g. 50 trials) only about 50% of eventually active voxels were significant; asymp- totic values were approached by 150 trials. The variability of the estimated hemodynamic response decreased with signal averaging, becoming stable across samples of ⩾ 25 trials. Therefore, group or condition differences may result from differences in voxelwise noise exacerbated by averaging small numbers of trials.
On-line Temperature-Aware Idle Time Distribution for Leakage Energy Optimization

With new technologies, temperature has become an important issue to be considered at system level design. In this paper, we address the issue of leakage energy optimization through temperature aware idle time distribution (ITD). We propose an on-line ITD technique for leakage energy consumption minimization, where both static and dynamic idle time are considered. Experimental results have demonstrated that an important amount of leakage energy reduction can be achieved by applying our ITD techniques.
Creencias sobre los efectos de las sustancias psicoactivas sobre la conducción de vehículos en consumidores de drogas encarcelados

espanolEl objetivo de la presente investigacion es analizar las creencias sobre los efectos de las drogas en la conduccion de vehiculos y su relacion con la experiencia previa de accidentes de trafico. La muestra esta compuesta por 30 drogodependientes encarcelados. Se elaboro un cuestionario ad hoc para evaluar las variables: (a) conduccion de vehiculos bajo los efectos de drogas, (b) numero de accidentes de trafico experimentados conduciendo bajo los efectos de drogas, (c) numero de consecuencias derivadas de los accidentes de trafico, (d) atribucion de los accidentes a los efectos de las drogas utilizadas y (e) tipo y numero de atribuciones de efectos a las diferentes categorias de drogas. Todos los sujetos afirmaron haber conducido bajo los efectos del alcohol u otras drogas en alguna ocasion, de los cuales el 77% reconocia los efectos negativos de las sustancias psicoactivas en la conduccion aunque el 65% de las atribuciones realizadas eran inadecuadas. Las atribuciones que contienen valoraciones negativas de los efectos de las drogas en la conduccion correlacionan positivamente con el numero de accidentes experimentados. Se analizan las implicaciones de estos resultados. EnglishThe purpose of the present investigation was to analyze beliefs about the effects of drug use on driving and the relationship of drugs with previous motor vehicle accidents. The sample consisted of 30 incarcerated drug addicts. An ad hoc questionnaire was developed to evaluate the following variables: (a) driving under the influence of drugs, (b) number of motor vehicle accidents experienced while under the influence of drugs, (c) number of consequences resulting from the motor vehicle accidents, (d) attribution of the accidents to the effects of drug use, and (e) type and number of attributions of consequences to the different types of drugs. All subjects admitted having driven at some time while under the influence of alcohol or other drugs. Seventy-seven percent acknowledged the negative effects of psychoactive substances on driving. However, 65% of the attributions were inadequate. Attributions that included negative appraisals of the effects of drug use on driving correlated positively with the number of motor vehicle accidents experienced. Implications of these results are analyzed.
Association Between Time to Reperfusion and Outcome Is Primarily Driven by the Time From Imaging to Reperfusion

Background and Purpose— A progressive decline in the odds of favorable outcome as time to reperfusion increases is well known. However, the impact of specific workflow intervals is not clear. Methods— We studied the mechanical thrombectomy group (n=103) of the prospective, randomized REVASCAT (Randomized Trial of Revascularization With Solitaire FR Device Versus Best Medical Therapy in the Treatment of Acute Stroke due to Anterior Circulation Large Vessel Occlusion Presenting Within Eight Hours of Symptom Onset) trial. We defined 3 workflow metrics: time from symptom onset to reperfusion (OTR), time from symptom onset to computed tomography, and time from computed tomography (CT) to reperfusion. Clinical characteristics, core laboratory-evaluated Alberta Stroke Program Early CT Scores (ASPECTS) and 90-day outcome data were analyzed. The effect of time on favorable outcome (modified Rankin scale, 0–2) was described via adjusted odds ratios (ORs) for every 30-minute delay. Results— Median admission National Institutes of Health Stroke Scale was 17.0 (14.0–20.0), reperfusion rate was 66%, and rate of favorable outcome was 43.7%. Mean (SD) workflow times were as follows: OTR: 342 (107) minute, onset to CT: 204 (93) minute, and CT to reperfusion: 138 (56) minute. Longer OTR time was associated with a reduced likelihood of good outcome (OR for 30-minute delay, 0.74; 95% confidence interval [CI], 0.59–0.93). The onset to CT time did not show a significant association with clinical outcome (OR, 0.87; 95% CI, 0.67–1.12), whereas the CT to reperfusion interval showed a negative association with favorable outcome (OR, 0.72; 95% CI, 0.54–0.95). A similar subgroup analysis according to admission ASPECTS showed this relationship for OTR time in ASPECTS<8 patients (OR, 0.56; 95% CI, 0.35–0.9) but not in ASPECTS≥8 (OR, 0.99; 95% CI, 0.68–1.44). Conclusions— Time to reperfusion is negatively associated with favorable outcome, being CT to reperfusion, as opposed to onset to CT, the main determinant of this association. In addition, OTR was strongly associated to outcome in patients with low ASPECTS scores but not in patients with high ASPECTS scores. Clinical Trial Registration— URL: http://www.clinicaltrials. gov. Unique identifier: NCT01692379.
Hereditary cancer: guidelines in clinical practice. Breast and ovarian cancer genetics.

A variable proportion of cancers have a genetic aetiology but genes rarely act alone in shaping cancer predisposition. Environment and other genes modify risks and much of this interaction is poorly understood at present. Initial genetic risk assessment is often based on knowledge of genetic epidemiology. Different levels of increase in predicted risk may shape clinical decisions about molecular genetic testing, prevention or early detection, and knowledge about available options is important in dealing with cancer patients and their families.
Enabling students with SEN through the use of Digital Learning Resources: Guidelines on how to select, develop and use DLR with SEN

This article tackles the issue of the use of Digital Learning Resources (DLR) in the education of students with learning problems. It presents an argument for the employment of DLR in the education of these students and it raises additional concerns in the choice of these resources when used with students with learning disabilities. DLR are of paramount importance in today’s teaching and learning processes, becoming even more important with special education needs (SEN) as they enable forms of participation previously unavailable. However, and given the particular characteristics of students with SEN, it is necessary to safeguard some pre-requisites in the production and use of these resources with these students. We discuss the pertinence and general precautions when using DLR with students with or without disabilities who face some form of learning problem.
Yardstick regulation of electricity distribution utilities based on the estimation of an average cost function

In this paper we estimate an average-cost function for a panel of 45 Swiss electricity distribution utilities as a basis for yardstick regulation of the distribution-network access prices. Unlike the existing literature, we separate the electricity sales function of utilities from the network operation function. Several exogenous variables measuring the heterogeneity of the service areas were included in the model specification in order to allow the regulator to set differentiated benchmark prices incorporating this heterogeneity. We can identify different exogenous service area characteristics that affect average cost. These are the load factor, the customer density and the output density of different consumer groups. Moreover, the estimation results indicate the existence of significant economies of scale; i.e. most of the Swiss utilities in our sample are too small to reach minimum efficient scale. However, to give the small utilities incentives to merge the size of the utilities must not be included in the yardstick calculation.
Halitosis: Current concepts on etiology, diagnosis and management

Halitosis or oral malodor is an offensive odor originating from the oral cavity, leading to anxiety and psychosocial embarrassment. A patient with halitosis is most likely to contact primary care practitioner for the diagnosis and management. With proper diagnosis, identification of the etiology and timely referrals certain steps are taken to create a successful individualized therapeutic approach for each patient seeking assistance. It is significant to highlight the necessity of an interdisciplinary method for the treatment of halitosis to prevent misdiagnosis or unnecessary treatment. The literature on halitosis, especially with randomized clinical trials, is scarce and additional studies are required. This article succinctly focuses on the development of a systematic flow of events to come to the best management of the halitosis from the primary care practitioner's point of view.