Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined bounce, pitch, and roll dynamics of vehicles negotiating single speed bump events

Abstract This paper investigates vehicle dynamic response for the increasingly common manoeuvre over single speed bumps, which is a non-trivial complex motion. One major aim of the study is to investigate the effect of the anti-roll bar upon vehicle body dynamics, while negotiating such traffic calming features. Numerical predictions are made with an intermediate vehicle model, whose results conform well to the actual vehicle tests. These results seem to suggest that events caused by truncated speed bumps can have implications for design of anti-roll bars from a ride comfort viewpoint, over and above the usual requirements dictated by safe vehicle handling.
The EU Integration Discourse in the Energy Relations with Russia

Abstract The energy issue is a long-term one of the most discussed, controversial topics in relations between the European Union and the Russian Federation. The intention of the present article is an attempt to overcome the largely non-discursive and in the security conditions anchored way of looking at the energy interaction of the EU and the RF and through an integration discourse to analyze EU energy relations with Russia in the years 2004 - 2014. In the theoretical level, the article is based on a critical constructivism, which in relation to the discourse as the main concept reflects a number of fundamental knowledge. At the methodological level, the article is based on the discourse analysis as a basic methodological tool through which the author examines the EU text documents.
Interventions that Apply Scripture in Psychotherapy

Christian therapists are sometimes challenged in their work with appropriately religious clients to develop treatment components that incorporate the Bible. Utilizing a case study format, this article describes various intervention strategies available for the clinician to consider. Psychodynamic, psychoeducational, theoeducational, cognitive, behavioral, and affective experiential therapeutic examples are presented. As long as sound ethical and religio-cultural assessment guidelines are followed, Scripture remains a rich resource for clinicians in their work.
Semi-Supervised Learning by Local Behavioral Searching Strategy

Semi-supervised learning has attracted a significant amount of attention in pattern recognition and machine learning. Among these methods, a very popular type is semi-supervised support vector machines. However, parameter selection in heat kernel function during the learning process is troublesome and harms the performance improvement of the hypothesis. To solve this problem, a novel local behavioral searching strategy is proposed for semi-supervise d learning in this paper. In detail, based on human behavioral learning theory, the support vector machine is regularized with the un-normalized graph Laplacian. After building local distribution of feature space, local behavioral paradigm considers the form of the underlying probability distribution in the neighborhood of a point. Validation of the proposed method is performed with extensive experiments. Results demonstrate that compared with traditional method, our method can more effectively and stably enhance the learning performance.
Isolation and antibiogram of pneumonic pasteurellosis causing microbes from nasopharynx of transport stressed Nigerian goats

This investigation reports the isolation and antibiogram of pneumonic pasteurellosis causing microbes, Mannheimia haemolytica (MH) and Pasturella multocida (PM) from the nasopharynx of transport stressed Nigerian goats. Nasal swabs were taken from 63 that were transport stressed (group A), 21 goats that were transport stressed followed by rest for two weeks (group B) and 21 resident goats which were not transported (group C). The characterisation, identification of the isolates was carried out using standard methods while the antibiotics sensitivity test was by disc diffusion technique. The rate of isolation and load of MH and PM from the nasal cavity was significantly higher in transport-stressed goats while there was no significance difference between groups B and C. The duration of journey did not significantly affect the isolation rate of the two organisms except the bacterial load of MH. Most isolates were susceptible to the quinolones (cefuroxime, ciprofloxacin and ofloxacin) and resistant to gentamycin, augmentin, nitrofurantoin, ceflazidime and ampicillin. Efforts should be geared towards improving state of Nigerian roads, animal transportation and the treatment plan that is commonly used for stabilising transport-stressed animals especially with the use of rest and appropriate antibiotics prophylaxis.
Vibrotactile Notification for Live Electronics Performance : A Prototype System

In this paper we describe a prototype system for haptic notifications in the context of music performance with live electronics. In current practice there is typically no physical connection between the human performer and the live electronics system, breaking the actionperception loop, which can render performers insecure. Leveraging recent work in the field of tactile notification we aim at closing this loop by communicating information from the live electronics system to the performer via the haptic channel. We present a prototype tactile synthesizer, embedded in a Max-based modular software framework for live electronics, titled CLEF (CIRMMT Live Electronics Framework). Tactile notifications can thus become an integral part of a musical score and communicate information to performers, allowing for tighter interaction with the live electronics system.
Design of Curvilinear Array Apertures for 3D Ultrasonic Imaging

The development of ultrasonic volumetric imaging is closely linked to the development of systems that are able to operate bidimensional array transducers. These arrays are useful for ultrasonic volumetric imaging, because they produce steered and focused beams throughout a volume of interest. Typical 2-D arrays are based on a Squared Matrix (SM) configuration, where the array elements are the matrix cells. Their performance is determined by their width in terms of wavelenght. Resolution and the dynamic range are determined by wavelenght/aperture diameter ratio and number of elements and the wavelenght/ interelement distance ratio respectively (Smith et al. (1991)). In SM apertures, since element distribution is uniform, the composition of the secondary lobes is determined by interelement distance. All elements contribute to its formation. These lobes are known as grating lobes and produce image artifacts that can reduce the signal-to-noise ratio. Nowadays avoiding image artifacts is key to array design. For matrix and linear arrays the composition of these lobes can only be avoided by limiting the interelement distance to λ/2. In practice, it means that for 1o of lateral resolution a 60λ diameter aperture with 14400 elements is needed. Then, several problems can be identified:
The gamified learning environment - pedagogical possibilities and pitfalls

Gamification can be a powerful educational tool, and has shown potential to increase student motivation and engagement. A large majority of today’s children and youths spend hours focused on solving complex problems in the realm of digital games. The possibility of transferring that kind of flow into the educational sphere through gamification is intriguing. This research aimed to elucidate how students experience the gamified learning environment, and especially the possible connection between commercial gaming experience and the effect of using gamification in education. By conducting an iterative case study consisting of observation and interviews with ICT teachers and students participating in the gamified classroom system Heimdall’s Quest, this study found that the gamified learning environment affects the student at three levels: the student, classroom level and society level. The specifics of these results can give valuable insight to other educators in developing and implementing gamification as a pedagogical and didactical tool for future ICT education.
Physics of Vibrating Airfoils at Low Reduced Frequency

The unsteady aerodynamics of low pressure turbine vibrating airfoils in flap mode is studied in detail using a frequency domain linearized Navier-Stokes solver. Both the travelling-wave and influence coefficient formulations of the problem are used to highlight key aspects of the physics and understand different trends such as the effect of reduced frequency and Mach number. The study is focused in the low-reduced frequency regime which is of paramount relevance for the design of aeronautical low-pressure turbines and compressors. It is concluded that the effect of the Mach number on the unsteady pressure phase can be neglected in first approximation and that the unsteadiness of the vibrating and adjacent airfoils is driven by vortex shedding mechanisms. Finally a simple model to estimate the work-per-cycle as a function of the reduced frequency and Mach Number is provided. The edge-wise and torsion modes are presented in less detail but it is shown that acoustic waves are essential to explain its behaviour. The non-dimensional work-per-cycle of the edge-wise mode shows a large dependence with the Mach number while in the torsion mode a large number of airfoils is needed to reconstruct the work-per-cycle departing from the influence coefficients.Copyright © 2013 by ASME
Development of a Multiple Degree of Freedom Knee Disarticulation Prosthesis with Active Leg Length Variation

This paper presents a novel design for a knee disarticulation prosthesis. In this design, three hydraulic cylinders form the supporting structure and provide the damping effect at the same time. That way the novel knee joint offers two fundamental advantages compared to the state of the art. First, the combination of a supporting structure and damping element reduces the weight of the prosthesis. Secondly, the use of several cylinders allows the actuation of further degrees of freedom. Additional degrees of freedom can be used to vary the leg length within the gait cycle and hence to optimize the gait behavior.
Simulation of fracture of the bone implant with the porous structure

Different approaches to bone defects reconstruction with the use of ceramic materials have been developed recently. Ceramics are identical with bone matrix, provide biomedical compatibility with bone tissue and possess high strength. But with an overall high strength ceramic implants destruct in dynamic mode. The paper presents a study of the effect of the porosity gradient on the destruction of the bone implants under dynamic loading. It is shown that the fracture behavior of the bone implants is changed with increasing levels of the gradient of porosity.
Influence of the mastique binder in the bituminous mixtures behaviour

The flexible road pavements are subjected to the repetitive traffic loading, which, among others factors, originate their natural or premature degradation. The bituminous mixtures behaviour must be evaluated using repetitive loading tests that allow the study of their fundamental properties (i.e. fatigue, permanent deformations, and stiffness modulus) when subjected to the loading conditions which occur in the pavement. The behaviour of the bituminous mixtures is strongly influenced by the mastic properties and thus the objective of this work is to study the influence of the mastic characteristics in the bituminous mixtures behaviour. This behaviour was analysed by the evaluation of the complex modulus and fatigue life using repetitive bending at four points and the permanent deformation evaluated using repetitive simple shear tests at constant height (load control). In this work the mastic was defined as the material (filler, fine aggregate and bitumen) which is bonded to the coarse aggregates in a bituminous mixture.
Long-term Social Media Data Collection at the University of Turin

We report on the collection of social media messages — from Twitter in particular — in the Italian language that is continuously going on since 2012 at the University of Turin. A number of smaller datasets have been extracted from the main collection and enriched with different kinds of annotations for linguistic purposes. Moreover, a few extra datasets have been collected independently and are now in the process of being merged with the main collection. We aim at making the resource available to the community to the best of our possibility, in accordance with the Terms of Service provided by the platforms where data have been gathered from. (Italian) In questo articolo descriviamo il lavoro di raccolta di messaggi — da Twitter in particolar modo — in lingua italiana che va avanti in maniera continuativa dal 2012 presso l’Università di Torino. Diversi dataset sono stati estratti dalla raccolta principale ed arricchiti con differenti tipi di annotazione per scopi linguistici. Inoltre, dataset ulteriori sono stati raccolti indipendentemente, e fanno ora parte della raccolta principale. Il nostro scopo è rendere questa risorsa disponibile alla comunità in maniera più completa possibile, considerati i termini d’uso imposti dalle piattaforme da cui i dati sono stati estratti.
Image Classification Using Bag-of-Visual-Words Model

Recently, with the explosive growth of digital technologies, there has been a rapid proliferation of the size of image collection. The technique of supervised image classification has been widely applied in many domains in order to organize, search, and retrieve images. However, the traditional feature extraction approaches yield the poor classification accuracy. Therefore, the Bag-of-visual-words model, inspired by Bag-ofWords model in document classification, was used to present images with the local descriptors for image classification, and also it performs well in some fields. This research provides the empirical evidence to prove that the BoVW model outperforms the traditional feature extraction approaches for both binary image classification and multi-class image classification. Furthermore, the research reveals that the size of the visual vocabulary during the process of building BoVW model impact on the accuracy results of image classification.
Hydro-plankton characteristics and their relationship with sardine and anchovy distributions on the French shelf of the Bay of Biscay

The spatial pattern in hydro-plankton and fish distributions and their relationship were analysed based on the spring 2000 fisheries acoustic survey. The importance of this survey was that it was a multi-disciplinary platform which collected an extensive set of parameters in the hydro-plankton leading to a potentially finer description of hydro-plankton conditions and fish habitats. More than 50 variables were measured on a grid of stations, in four compartments of the ecosystem: hydrology, nutrients, primary producers and meso-zooplankton. First, a joint analysis of all hydro-plankton compartments was performed using multiple factor analysis (MFA). The method was used to estimate a compromise factorial space common to all compartments in which the stations were grouped by hierarchical clustering. The groups were represented spatially and a strong spatial pattern was evidenced. The fish and their spawned eggs were sampled along transect lines using acoustics and CUFES (continuous underway fish egg samplers). The distribution of the fish and their eggs was analysed in relation to the hydro-plankton groups of stations and difference in fish density across hydro-plankton conditions was tested by a pair-wise multiple comparison procedure. Anchovy was associated with a lesser number of hydro-plankton conditions than sardine. Eggs of both species were also associated with a lesser number of conditions than the fish. Finally, the gain provided by using the extensive set of hydro-plankton parameters for mapping large-scale hydro-plankton conditions was analysed in comparison with the situation in which a small set of parameters was available. The extensive set of parameters allowed more hydro-plankton conditions to be identified but only in the coastal area and not on the shelf. Size fractionated chlorophyll was determinant for tracking river plume hydro-plankton condition. However, the fish did not respond to the variety of the coastal hydro-plankton conditions.
Papilloedema in a Patient with Cervical Dystony - A Case Report

Cervical (torsion) dystonia or torticollis is disorder characterized by wrong position of the head. It is suspected to be caused by acquired damages in extrapyramidal nervous system and in other cerebral structures leading to unconscious motor function. Neuron distur-bances entail hypertonic neck muscles. Among all types of torticollis, ophthalmologists should pay attention to laterocollis manifested through the tilting of the head to one side. A 25-year-old man has been diagnosed with laterocollis for 3 years. The papilledema was more evident with the increased optic nerve disc in the nasal seg- ment, and also optic nerve disc protrusion over the retina. Changes were more evident on the right eye. The temporal sector within the range of 90° remained intact. The moderate decrease of RNFL thickness was defined in the superior and inferior-nasal segments on the right eye, and the low local decrease of RNFL was found in the nasal segment on the left eye.
A reappraisal of accounting changes in Dutch local government

Abstract Municipalities and provinces in the Netherlands, denoted here as local government, have introduced many major accounting changes and changes in other management control aspects since 1985. However, various change initiatives and new instruments were dropped after a short while, were superseded by new reforms, or only used to a limited extent. Interviews with 23 politicians and professional managers in local government made clear that they often were critical about the reasons for and the effects of the changes. For example, fads, a desire to ‘look modern’ and mimicry sometimes played a part in the introduction of the changes. Previous academic research suggests that in several cases the high ambitions of New Public Management have not been realized. However, this explorative paper does not primarily discuss the gap between expected and realized management changes. Instead, it focuses on the actual effects resulting from the accounting changes in the perception of the persons interviewed. The institutionalist approach that is used in this paper focuses on changes in rules, routines and institutions. The institutionalist approach of the accounting changes in Dutch local government suggests that, seen over the longer run, gradually some effects may have been realized that have considerably changed their culture and increased their citizen and result-orientedness. Further, the explorative paper indicates that an institutionalist perspective draws attention to factors and developments that might not be noticed when a more functional and short-term perspective is chosen
Ensemble Learning Based Voting Model for Dynamic Profile Classification and Project Allotment

Every year, lakhs of students right from college enter professional life through various recruitment activities conducted by the organization. The allotment of projects to the new recruits, carried out by the HR team of the organization is usually a manual affair. It is a time consuming and a tedious process as it involves manually opening each resume and analysing it one by one in order to assign a project. Companies round the globe are leveraging the power of artificial intelligence and machine learning to increase their productivity. In this paper, we present one such use case wherein artificial intelligence is leveraged by the organisation in allotment of projects to the new recruits. Current machine learning tools help in the allotment of projects to a few known popular domains on which the classifier has been trained explicitly. We tackle the problem with an ensemble learning based voting classifier consisting of 5 individual machine learning classifiers, voting to classify the profile of the candidate into the relevant domain. The knowledge extracted from the profiles for which there is no majority consensus among the individual classifiers is used to retrain the model. The proposed model achieves a higher accuracy in classifying resumes to proper domains than a standard machine learning classifier which is solely dependent on the training set for classification. Overall, emphasis is laid out on building a dynamic machine learning automation tool which is not solely dependent on the training data in allotment of projects to the new recruits.
Value-based medicine in oncology: the importance of perspective in the emerging value frameworks

Recently, professional and healthcare-related entities have launched frameworks designed to assess the value of cancer innovations in multistakeholder decision processes. Among the most visible entities that propose and implement value frameworks in oncology are the European Society of Medical Oncology (ESMO), the American Society of Clinical Oncology (ASCO), the Memorial Sloan Kettering Cancer Center (MSKCC) and the National Comprehensive Cancer Network (NCCN). However, these value frameworks have been criticized for conceptual inconsistencies, inability to include a greater variety of value criteria, and inadequate explanation of the uncertainty approach used in the modeling process. On the other hand, Multi-Criteria Decision Analysis (MCDA) is a set of methods and processes that allow the multiple criteria involved in a decision to be explicitly addressed. This approach allows the identification of relevant decision criteria, gathering of evidence based on scientific literature, attribution of weights to the criteria and scores to the evidence raised, and aggregation of the weighted scores to constitute a global metric of value. The purpose of this article is to review the main features of these value frameworks in oncology and the importance of perspective for framework readiness to support healthcare decision-making based on MCDA methodology.
Modeling Housing Demand for New Residential Buildings in Urban Areas

T his study investigates the factors affecting the demand for new residential buildings in urban areas of Iran during 1976-2010. The demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the Bounds testing of the Autoregressive Distributed Lag Co-integration procedure. The test confirmed a long-run relationship among the variables, so the coefficients of the short-term and long-term demand for new residential buildings were estimated. The results show that the average income of urban households has the biggest impact on the long-term demand of new residential buildings and its sign is positive. In the short-term, the biggest impact on the demand for new residential buildings is the average cost of constructing a residential building, with a negative impact on the demand.