Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyberbullying in Adolescent Victims: Perception and Coping

The present qualitative explorative study deals with cyberbullying from the perspective of adolescents. It focuses mainly on the impacts and consequences of cyberbullying, and on the coping strategies chosen by victims to deal with the situation. The data was obtained through semi-structured interviews with 15 adolescents aged 14-18 years, all of whom were cyberbullying victims. It was found that cyberbullying experiences led to changes in the victims' behaviour, and that these could be positive in the form of behavioural changes in cyberspace. Mainly this was due to victims creating a cognitive pattern of bullies, which consequently helped them to recognise aggressive people. Bullying also provoked feelings of caution, and brought about restriction in the use of risky online sources of threats as victims tried to prevent its recurrence. Critical impacts occurred in almost all of the respondents’ cases in the form of lower self-esteem, loneliness and disillusionment and distrust of people: The more extreme impacts were self-harm and increased aggression towards friends and family. Based on their experience, the victims of cyberbullying developed coping strategies in order to cope with cyberbullying. These strategies took several forms: technical defence, activity directed at the aggressor, avoidance, defensive strategies, and social support. The activities of the victims when dealing with this stressful situation varied, which was probably influenced by different contexts, personal traits, and the development of the respondents. The findings further revealed that some coping strategies (i.e. technical coping or telling parents) are in many situations either non-functional or just cannot be used, a theme which is further discussed with respect to previous research in the field.
The Measures of Criminal Attitudes and Associates (MCAA)

The validity of a Swedish translation of the Measures of Criminal Attitudes and Associates (MCAA) was evaluated. All four subscales showed acceptable reliability, but the Entitlement scale can be improved by replacing items with low loadings. Confirmatory factor analysis supported a model with one common criminal attitude factor and three subfactors (corresponding to subscales of the test). The Antisocial Intent scale failed to come out as a separate factor. The criterion-related validity was evidenced through offenders having more positive attitudes to criminality than a sample from a public Internet site, a treatment program having an effect on the ratings, and test scores being meaningfully related to criminal history variables. It was concluded that the MCAA has satisfactory psychometric properties.
Cognitive Neuroscience of Emotion

This book, a member of the Series in Affective Science, is a unique interdisciplinary sequence of articles on the cognitive neuroscience of emotion by some of the most well-known researchers in the area. It explores what is known about cognitive processes in emotion at the same time it reviews the processes and anatomical structures involved in emotion, determining whether there is something about emotion and its neural substrates that requires they be studied as a separate domain.
The influence of teaching experience and professional development on Greek teachers’ attitudes towards inclusion

On the assumption that the successful implementation of any inclusive policy is largely dependent on educators being positive about it, a survey was undertaken into the attitudes of Greek teachers to inclusion. The 155 respondents were general education primary teachers drawn from one region of Northern Greece, with a proportion deliberately selected from schools identified as actively implementing inclusive programmes. The analysis revealed positive attitudes towards the general concept of inclusion but variable views on the difficulty of accommodating different types of disabilities in mainstream classrooms. Teachers who had been actively involved in teaching pupils with SEN held significantly more positive attitudes than their counterparts with little or no such experience. The analysis also demonstrated the importance of substantive long‐term training in the formation of positive teacher attitudes towards inclusion. The paper concludes with recommendations for developing critical professional development courses that can result in attitudinal change and the formulation of genuinely inclusive practices.
Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents

Driver drowsiness is a common cause of fatal traffic accidents. In this study, a driver assistance system with a dual control scheme is developed; it attempts to perform simultaneously the safety control of the vehicle and identification of the driver's state. The assistance system implements partial control in the event of lane departure and gives the driver the chance to voluntarily take the action needed. If the driver fails to implement the steering action needed within a limited time, the assistance system judges that “the driver's understanding of the given situation is incorrect” and executes the remaining control. We used a driving simulator equipped with the assistance system to investigate the effectiveness of identifying driver drowsiness and preventing lane departure accidents. Twenty students participated in three trials on a straight expressway, and they were required to implement only lateral control. We hypothesized that a participant cannot implement the action needed to maintain safety when he/she falls asleep, and that in such a case, the assistance system will implement the safety control repeatedly. The assistance system assisted the participants only when almost really needed, such as when their eyelids were closed. The results validated the hypothesis, showing that the assistance system implemented the safety control repeatedly when a participant fell asleep. In addition, the algorithms used by the assistance system to determine whether the driver can continue driving were evaluated through a leave-one-out cross-validation, and they were proven to be effective for identifying driver drowsiness.
Holding Property in Trust: Kinship, Law, and Property Enactment on Norwegian Smallholdings

In this paper we discuss relations between kinship, law, and property enactment. A recent revision of The Norwegian Act Relating to Concession in the Acquisition of Real Property is designed to influence the relation between subjects (property owners) and objects (properties) through ceasing the obligation of residency and cultivation on certain properties, which in turn is intended to increase sales prices of the respective properties. Drawing upon empirical research conducted in four Norwegian local authority districts, we argue that responsibility for past, present, and future generations of family or kin is highly important in property enactment. Although relations between subjects and objects are powerful and inform policy actions, relations between social subjects might be just as influential and powerful. When enacting properties, people may live in more complicated worlds than is often assumed. We assert that further research in legal geography and the emerging field of ‘geographies of relatedness’ might profit from seeing kinship and property as coconstituted.
Dynamics of Lattice Triangulations on Thin Rectangles

We consider random lattice triangulations of $n\times k$ rectangular regions with weight $\lambda^{|\sigma|}$ where $\lambda>0$ is a parameter and $|\sigma|$ denotes the total edge length of the triangulation. When $\lambda\in(0,1)$ and $k$ is fixed, we prove a tight upper bound of order $n^2$ for the mixing time of the edge-flip Glauber dynamics. Combined with the previously known lower bound of order $\exp(\Omega(n^2))$ for $\lambda>1$ [3], this establishes the existence of a dynamical phase transition for thin rectangles with critical point at $\lambda=1$.
Kernel Plugins: When a VM Is Too Much

This paper presents kernel plugins, a framework for dynamic kernel specialization inspired by ideas borrowed from virtualization research. Plugins can be created and updated inexpensively on-the-fly and they can execute arbitrary user-supplied functions such that neither safety nor performance are compromised. Three key techniques are used to implement kernel plugins: (1) hardware fault isolation, (2) dynamic code generation, and (3) dynamic linking. Hardware fault isolation protects kernel-level services from plugin misbehavior, dynamic code generation enables rapid online creation of arbitrary plugins, and dynamic linking governs the kernel/plugin interface. We discuss the design and implementation of the kernel plugin facility, as well as its advantages and shortcomings. Its use is demonstrated by a range of micro-and macro-benchmarks and a real-life application featuring plugins that dynamically transcode images served by a high-performance kernel web server. Benefits realized from plugins can be both qualitative (adapting services to clients' needs), and quantitative (improving performance through co-location of application plugin code with kernel services). Plugins are implemented in GNU/Linux on the Intel x86 platform. Reported performance results include plugin upcalls in 0.45-0.62 µS, dynamic code generation in 4 mS, and linking/unlinking in 3.1/1.6 µS for an image grayscaling plugin - a dynamically code generated 66-line function written in a subset of C. All results are measured on an 866 MHz Pentium III.
Changes in the expression of MDR transporters in J 774 mouse macrophages selected by chronic exposure to ciprofloxacin ( CIP ) or moxifloxacin ( MXF ) , two fluoroquinolone antibiotics

C. Vallet, B. Marquez, N. Nhiri*, E. Jacquet*, M-P. Mingeot-Leclercq, P.M. Tulkens, F. Van Bambeke Unité de pharmacologie cellulaire et moléculaire, Université catholique de Louvain, Brussels, Belgium *Institut de chimie des substances naturelles, CNRS, Gif sur Yvette, France Mailing address : P.M. Tulkens, Pharmacologie cellulaire et moléculaire, UCL Bat. Van Helmont, 7370 Av. E. Mounier,1200 Brussels, Belgium, tulkens@facm.ucl. ac.be
Biodiversity of Mineral Nutrient and Trace Element Accumulation in Arabidopsis thaliana

In order to grow on soils that vary widely in chemical composition, plants have evolved mechanisms for regulating the elemental composition of their tissues to balance the mineral nutrient and trace element bioavailability in the soil with the requirements of the plant for growth and development. The biodiversity that exists within a species can be utilized to investigate how regulatory mechanisms of individual elements interact and to identify genes important for these processes. We analyzed the elemental composition (ionome) of a set of 96 wild accessions of the genetic model plant Arabidopsis thaliana grown in hydroponic culture and soil using inductively coupled plasma mass spectrometry (ICP-MS). The concentrations of 17–19 elements were analyzed in roots and leaves from plants grown hydroponically, and leaves and seeds from plants grown in artificial soil. Significant genetic effects were detected for almost every element analyzed. We observed very few correlations between the elemental composition of the leaves and either the roots or seeds. There were many pairs of elements that were significantly correlated with each other within a tissue, but almost none of these pairs were consistently correlated across tissues and growth conditions, a phenomenon observed in several previous studies. These results suggest that the ionome of a plant tissue is variable, yet tightly controlled by genes and gene×environment interactions. The dataset provides a valuable resource for mapping studies to identify genes regulating elemental accumulation. All of the ionomic data is available at www.ionomicshub. org.
Identification and Mapping of Linear Antibody Epitopes in Human Serum Albumin Using High-Density Peptide Arrays

We have recently developed a high-density photolithographic, peptide array technology with a theoretical upper limit of 2 million different peptides per array of 2 cm2. Here, we have used this to perform complete and exhaustive analyses of linear B cell epitopes of a medium sized protein target using human serum albumin (HSA) as an example. All possible overlapping 15-mers from HSA were synthesized and probed with a commercially available polyclonal rabbit anti-HSA antibody preparation. To allow for identification of even the weakest epitopes and at the same time perform a detailed characterization of key residues involved in antibody binding, the array also included complete single substitution scans (i.e. including each of the 20 common amino acids) at each position of each 15-mer peptide. As specificity controls, all possible 15-mer peptides from bovine serum albumin (BSA) and from rabbit serum albumin (RSA) were included as well. The resulting layout contained more than 200.000 peptide fields and could be synthesized in a single array on a microscope slide. More than 20 linear epitope candidates were identified and characterized at high resolution i.e. identifying which amino acids in which positions were needed, or not needed, for antibody interaction. As expected, moderate cross-reaction with some peptides in BSA was identified whereas no cross-reaction was observed with peptides from RSA. We conclude that high-density peptide microarrays are a very powerful methodology to identify and characterize linear antibody epitopes, and should advance detailed description of individual specificities at the single antibody level as well as serologic analysis at the proteome-wide level.
Mind-Body Practices in Integrative Medicine

Mind-Body practices have become increasingly popular as components of psychotherapeutic and behavior medicine interventions. They comprise an array of different methods and techniques that use some sort of mental-behavioral training and involve the modulation of states of consciousness in order to influence bodily processes towards greater health, well-being and better functioning. Mind-body practices may thus be interpreted as the salutogenetic mirror image of psychosomatic medicine, where psychophysiological and health consequences of specific psychological states are studied, such as stress arousal, psychological trauma or depression. This contribution examines the empirical evidence of the most common mind-body techniques with regard to their salutogenetic potential. We concisely discuss some aspects of the mind-body problem, before we consider some historical aspects and achievements of psychosomatic medicine. We then turn to some prominent mind-body practices and their application, as well as the empirical database for them.
The hybrid photovoltaic energy system for electric vehicle battery charger

This paper presents the hybrid photovoltaic (PV) energy system for the electric vehicle (EV) battery charger. The simple maximum power point tracking (MPPT) is introduced for charging the electric vehicle battery. In the AC mode, the interleaved ac/dc boost converter with power factor correction (PFC) is presented too. With the proposed PFC control strategy, the average current control method is used for regulating the sinusoidal input current waveform. Validity of the proposed control scheme is verified by simulations.
Social influence on sustainable consumption: evidence from a behavioural experiment

Although social influence on consumers’ behaviour has been recognized and documented, the vast majority of empirical consumer studies about sustainable products considers mainly, if not only, individual characteristics (socio-demographic attributes, individual environmental attitudes, etc.), to explain the decision to buy sustainable products. Making use of experimental methods, this paper studies the social influence that peer groups like colleagues, family and friends may exert in the decision to choose for environmentally friendly products rather than conventional ones. We also test for different types of social influence, in particular for ‘herd behaviour’ vs. ‘social learning’. In our experimental setting, the relevance of peer effects is corroborated. We find clear evidence for ‘herd behaviour’ and the data indirectly support the presence of ‘social learning’ effects. The results also suggest heterogeneous impact of specific social groups.
Variable‐rate pumping tests for radially symmetric nonuniform aquifers

Conventional pumping test methodology is of limited effectiveness for defining the spatial distribution of aquifer properties because of the nonuniqueness of the parameter estimates. Sensitivity analysis can be used to develop a pumping test procedure that significantly decreases the uncertainty associated with the estimated parameters. This approach employs systematic variations in pumpage rates to achieve reductions in parameter uncertainty. These reductions are obtained by increasing the sensitivity of drawdown to flow properties while simultaneously constraining the growth in the correlation between the effects of different flow properties on observation well drawdown. Numerical experiments demonstrate the importance of the magnitude and frequency of the rate variations, the spatial and temporal pattern of data collection, as well as the dependence of the technique on the total duration of the pumping test. Significant decreases in parameter uncertainty can be expected in any flow system in which the primary component of flow is in the radial direction. This study demonstrates that sensitivity analysis can be an important tool in the development of methodology for the characterization of subsurface properties.
Three-dimensional analysis of biological systems via a novel laser ablation technique

Current technology and methods are not feasible for the rapid three-dimensional visualization of complex biological systems. Magnetic resonance imaging and x-ray tomography are slow and costly, with significant tradeoffs between resolution, speed, and volume. Additionally, contrasting agents are required to differentiate features. Here, the authors present a novel 3D imaging and analysis technique, Laser Ablation Tomography (LATscantm). An ultrafast, ultraviolet pulsed laser is utilized to continuously ablate thin surface layers of samples, and these surfaces are simultaneously imaged as the sample is fed into the laser ablation plane. The resulting data are processed using machine learning techniques to identify structural and compositional features at micron resolution. The images are then stacked, further processed, and reconstructed into high-resolution volume renderings that can be analyzed, quantified, segmented, and virtually dissected. The 3D renderings obtained are in full, natural color that results from the interaction of the materials with the ultraviolet laser during ablation. The application of LATscan to both biological and nonbiological samples has shown excellent results in the fields of botany, entomology, life sciences, material science, and pharmacology, among many others. The most successful roll-out of the technology has been in the agrochemical industry, specifically in studies involving high-throughput phenotyping, root–soil, and plant–pest interactions, biomimetics, and pesticide efficacy. The technology has also offered exciting results in the life sciences, and the combination of the visualization with 3D chemical mapping could be a fundamental research and diagnostic tool.Current technology and methods are not feasible for the rapid three-dimensional visualization of complex biological systems. Magnetic resonance imaging and x-ray tomography are slow and costly, with significant tradeoffs between resolution, speed, and volume. Additionally, contrasting agents are required to differentiate features. Here, the authors present a novel 3D imaging and analysis technique, Laser Ablation Tomography (LATscantm). An ultrafast, ultraviolet pulsed laser is utilized to continuously ablate thin surface layers of samples, and these surfaces are simultaneously imaged as the sample is fed into the laser ablation plane. The resulting data are processed using machine learning techniques to identify structural and compositional features at micron resolution. The images are then stacked, further processed, and reconstructed into high-resolution volume renderings that can be analyzed, quantified, segmented, and virtually dissected. The 3D renderings obtained are in full, natural color that res.
Combined EGFR/MEK Inhibition Prevents the Emergence of Resistance in EGFR-Mutant Lung Cancer.

UNLABELLED Irreversible pyrimidine-based EGFR inhibitors, including WZ4002, selectively inhibit both EGFR-activating and EGFR inhibitor-resistant T790M mutations more potently than wild-type EGFR. Although this class of mutant-selective EGFR inhibitors is effective clinically in lung cancer patients harboring EGFR(T790M), prior preclinical studies demonstrate that acquired resistance can occur through genomic alterations that activate ERK1/2 signaling. Here, we find that ERK1/2 reactivation occurs rapidly following WZ4002 treatment. Concomitant inhibition of ERK1/2 by the MEK inhibitor trametinib prevents ERK1/2 reactivation, enhances WZ4002-induced apoptosis, and inhibits the emergence of resistance in WZ4002-sensitive models known to acquire resistance via both T790M-dependent and T790M-independent mechanisms. Resistance to WZ4002 in combination with trametinib eventually emerges due to AKT/mTOR reactivation. These data suggest that initial cotargeting of EGFR and MEK could significantly impede the development of acquired resistance in EGFR-mutant lung cancer. SIGNIFICANCE Patients with EGFR-mutant lung cancer develop acquired resistance to EGFR and mutant-selective EGFR tyrosine kinase inhibitors. Here, we show that cotargeting EGFR and MEK can prevent the emergence of a broad variety of drug resistance mechanisms in vitro and in vivo and may be a superior therapeutic regimen for these patients.
The Puzzling Life of Autistic Toddlers: Design Guidelines from the LINKX Project

This paper presents guidelines for designers to help them consider what children with autism value in interactions with their environment. The guidelines were developed during the LINKX project in order to design a language learning toy for these children and are based on literature study, expert interviews, generative techniques, and prototype testing with users. We present both the theoretical or practical background of each guideline together with a discussion how the guideline was evident in the prototype of LINKX. Testing the prototype in the real world helped us to shape the prototype and the guidelines. This paper aims to share our guidelines with the design research community, so that others can use them as steppingstones in their work.
Car cockpit equalization by warping filters

Sound reproduction within a car inside is a difficult task. Reverberation, reflection, echo, noise and vibration are some of the issues to account for. A first step in the direction of increasing sound comfort is that of equalizing the acoustic pressure response in the frequency domain. A direct solution is that of implementing with a convolution filter the inverse of the acoustic measurements in the car cockpit. However this often results in very high number of taps, therefore more complex techniques must be adopted, which rely also on psychoacoustics considerations. In this paper automatic tools to develop warping inverse filters for target car cockpits was designed and validated through experiments in commercial cars.