Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptation and Validation of the Basque Version of the Emotional Creativity Inventory in Higher Education

Abstract Emotional creativity is defined as the ability to feel and express emotions in a new, effective and authentic way. There are currently no Basque-language self-report instruments to provide valid and reliable measures of this construct. Thus, this paper describes the process of adapting and validating the Emotional Creativity Inventory (ECI) for the Basque-speaking population. The sample was comprised of 594 higher education students (388 women and 206 men) aged between 18 and 32 years old (M age = 20.47; SD = 2.48). The Basque version of the ECI was administered along with the TMMS-23, NEO PI-R, and PANAS. The results of exploratory and confirmatory factor analyses on the Basque ECI corroborated the original scale’s three-factor structure (preparedness, novelty, and effectiveness/authenticity). Those dimensions showed acceptable indexes of internal consistency (α = .80, .83, and .83) and temporal stability (r = .70, .69, and .74). The study also provided some evidence of external validity (p < .05) based on the relationships found between emotional creativity and emotional intelligence, personality, affect, and sex. The Basque ECI can be regarded as a useful tool to evaluate perceived emotional creativity during the preparation and verification phases of the creative process.
Semantic labeling of urban areas in remote sensing imagery using multiple exemplars-based matching

In this study, we are going to focus on the exploration of color based features on labeling remote sensing images. The common widely used color descriptors are based on color histogram or Gaussian Mixture Models. However, the problem of these methods is to lack of the spatial layout information. We propose a new color description and matching approach, which allows to relax the assumption of independence of the observed pixels and incorporates the spatial information naturally by an iterative estimation and a regeneration process. We compare our results to the traditional descriptor based on the labeling of urban scenes using IKONOS imagery and show that our color descriptor outperforms the color histogram and Gaussian Mixture Models, furthering with combination of linearly interpolation and over-segmented map give much better performance.
Dentine microhardness changes following conventional and alternate irrigation regimens: An in vitro study

Aim: To compare the changes in microhardness of root dentin caused by two novel irrigation regimens with conventional irrigation. Materials and Methods: Forty extracted human permanent incisor teeth were selected. Decoronated roots were separated longitudinally to get 80 specimens that were embedded in autopolymerizing acrylic resin and grounded flat with silicon carbide abrasive papers. Of these, 60 root segments without any cracks or defects were selected and divided into four groups according to the irrigation regimen used (n = 15). Group I: 5% sodium hypochlorite (NaOCl) + 17% ethylenediaminetetraacetic acid (EDTA) + 0.2% chlorhexidine digluconate (CHX) (conventional). Group II: 6% Morinda Citrifolia Juice + 17% EDTA (MCJ). Group III: 5% NaOCl + Q Mix 2 in 1 (QMix). Group IV: Distilled water (control). Irrigation regimens were performed for 5 minutes. Dentin microhardness was measured with a Vickers indenter under a 200-g load and a 20-s dwell time at the midroot level of root dentin. The data were analyzed using Kruskal Wallis test and Dunn's multiple comparison tests. Results: A significant difference was seen in the median values of the four groups. The control group showed the least reduction in microhardness when comparison with the other groups. Except for Group III (Q Mix), the other groups that were tested (MCJ and conventional regimens) showed statistically significant difference from the control group. Conclusion: Within the limitation of this study, it was concluded that NaOCl + Q Mix were least detrimental to root dentin microhardness when compared with MCJ and conventional irrigation regimens.
Preserving users' location privacy in mobile platforms

Mobile and interconnected devices both have witnessed rapid advancements in computing and networking capabilities due to the emergence of Internet-of-Things, Connected Societies, Smart Cities and other similar paradigms. Compared to traditional personal computers, these devices represent moving gateways that offer possibilities to influence new businesses and, at the same time, have the potential to exchange users’ sensitive data. As a result, this raises substantial threats to the security and privacy of users that must be considered. With the focus on location data, this thesis proposes an efficient and socially-acceptable solution to preserve users’ location privacy, maintaining the quality of service, and respecting the usability by not relying on changes to the mobile app ecosystem. This thesis first analyses the current mobile app ecosystem as to apply a privacy-bydesign approach to location privacy from the data computation to its visualisation. From our analysis, a 3-Layer Classification model is proposed that depicts the state-ofthe- art in three layers providing a new perspective towards privacy-preserving locationbased applications. Secondly, we propose a theoretically sound privacy-enhancing model, called LP-Cache, that forces the mobile app ecosystem to make location data usage patterns explicit and maintains the balance between location privacy and service utility. LP-Cache defines two location privacy preserving algorithms: on-device location calculation and personalised permissions. The former incorporates caching technique to determine the location of client devices by means of wireless access points and achieve data minimisation in the current process. With the later, users can manage each app and private place distinctly to mitigate fundamental location privacy threats, such as tracking, profiling, and identification. Finally, PL-Protector, implements LP-Cache as a middleware on Android platform. We evaluate PL-Protector in terms of performance, privacy, and security. Experimental results demonstrate acceptable delay and storage overheads, which are within practical limits. Hence, we claim that our approach is a practical, secure and efficient solution to preserve location privacy in the current mobile app ecosystem.
The neurotrophic factor concept: a reexamination

The neurotrophic factor concept in its basic form envisages that innervated tissues produce a signal for the innervating neurons for the selective limitation of neuronal death occurring during development (Purves, 1986; Oppenheim, 1991). This concept arose several decades ago on the basis of the observation that experimental manipulation of the amount of target tissue could modulate the size of neuronal populations. By making the survival of neurons dependent on their target, nature would provide a means to match neuron and target cell populations. NGF, discovered in the 1950s, represents the first known molecular realization of the neurotrophic factor concept. NGF was found to regulate survival, neurite growth, and neurotransmitter production of a particular neuronal type, the sympathetic neurons of the PNS. NGF produced by target cells is specifically bound and internalized by sympathetic neurons, followed by retrograde axonal transport of NGF to the cell soma, where NGF exerts its effects via the cotransported receptor molecule (Levi-Montalcini, 1987; Thoenen et al., 1987). Strictly speaking, increased neurite growth and neurotransmitter production are not trophic effects; however, I will use the term “neurotrophic” in the extended meaning of enhancing neuronal differentiation as well as neuronal survival. It was expected that these results could be generalized to a model of multiple, mutually independent, retrograde trophic messengers, which are synthesized in distinct target areas and act on restricted neuronal types (Fig. 1). This assumption leads to a conceptually simple way to arrange and maintain a variety of neuronal subsystems. One might call this a modular approach to the construction of the nervous system. The hypothesis of multiple retrograde signals has gained widespread experimental support in recent years. Originally proposed for the PNS, the model could be extended to the CNS, in which target neurons synthesize trophic factors for their afferent neurons (Ernfors et al., 1990b). In addition to NGF, a family of NGF-related molecules (now commonly called neurotrophins), which are thought to exert retrograde trophic influences (DiStefano et al., 1992), has been identified.
Comparison of charged particle dynamics around compact objectimmersed into uniform or dipole magnetic field

We compare charge particle dynamics around magnetized compact object for two different configurations of magnetic field, uniform magnetic field and dipole magnetic field. Comparing charged particle trajectories, position of circular orbits and frequencies of small harmonic oscillations in both magnetic fields, we will try to answer the question if the dipole magnetic field can be approximated by uniform magnetic field at last at small scales.
Ray Tracing simulations of indoor channel spatial correlation for Physical Layer Security

The goal of this work is to establish the accuracy of ray tracing to simulate the radio channel in a Physical Layer Security scenario, where two legitimate users try to take advantage of the intrinsic properties of the channel to generate a shared secret key inaccessible to an eavesdropper. A 3D Ray-Tracing software, including a diffuse scattering model, is employed to simulate spatial correlations in an indoor environment at the frequencies of 2.4 and 5GHz. Measurements, performed with a Vector Network Analyzer, are used to assess the validity of simulated results.
Generating Effective Responses for a Plan-based Dialogue System in Human-robot Interaction

A high-level dialogue system involves symbolic reasoning and deep understanding of user input, and its object is to handle complex dialogue phenomena such as inference and negotiation. However, it is difficult for high-level dialogue techniques to be extended toward a practical dialogue system that must generate effective responses in a real environment because the high-level dialogue techniques are based on only a narrow band of knowledge and a complicated model. This paper proposes a new dialogue model based on plan-recognition model that is one of high-level techniques. We simplify the plan-recognition model, which includes well-defined recipes and inference rules, to be applied to a practical dialogue system. In addition, we use a multi-level inference schema that employs a discourse stack and a confirmation strategy for effectively recognizing the user's deep intention. As a result, the proposed dialogue system is successfully embedded into a multi-modal interaction system for humanrobot interaction.
Sentiment analysis based on Support Vector Machine and Big Data

This paper deals with sentiment analysis in text documents, especially text valence detection. The proposed solution is based on Support Vector Machines classifier. This classifier was trained with huge amount of data and complex word combinations were analysed. For this purpose distributed learning on 112 processors was used. Datasets used for training and testing were automatically obtained from real user feedback on products from different web pages (and different product segments). The proposed solution has been evaluated with different languages - English, German, Czech and Spanish. This paper improves accuracy achieved with the Big Data approach about 11%. The best accuracy achieved in this work was 95.31% for recognition of positive and negative text valence. The described learning is fully automatic, can be applied to any language and no complicated preprocessing is needed.
On Maximum Absorption by Lossy Finite-Length Dipole Antennas

Approximate analytical expression is presented for calculating the current flowing along a lossy finite-length dipole antenna illuminated by an obliquely incident plane wave. This current is used to evaluate the total power absorbed, both by the lumped load connected across the antenna terminals and by the lossy material of which the antenna structure is made. An approximate value of the load impedance that maximizes the total absorbed power is then derived. The results are compared against results obtained using a method of moments solution and good agreement is found.
Upregulation of Major Histocompatibility Complex Class I on Liver Cells by Hepatitis C Virus Core Protein via p53 and TAP1 Impairs Natural Killer Cell Cytotoxicity

ABSTRACT The mechanisms of immune evasion and the role of the early immune response in chronic infection caused by hepatitis C virus (HCV) are still unclear. Here, we present evidence for a cascade of molecular events that the virus initiates to subvert the innate immune attack. The HCV core protein induced p53-dependent gene expression of TAP1 (transporter associated with antigen processing 1) and consecutive major histocompatibility complex (MHC) class I upregulation. Moreover, in p53-deficient liver cell lines, only reconstitution with wild-type p53, but not mutated p53 lacking DNA binding capacity, showed this effect. As a consequence of increased MHC class I expression, a significantly downregulated cytotoxic activity of natural killer (NK) cells against HCV core-transfected liver cells was observed, whereas lysis by HCV-specific cytotoxic T cells was not affected. These results demonstrate a way in which HCV avoids recognition by NK cells that may contribute to the establishment of a chronic infection.
Linearized Kernel Representation Learning from Video Tensors by Exploiting Manifold Geometry for Gesture Recognition

A video tensor is an organized multidimensional array of numerical values. In this paper, we explore the underlying manifold geometry of a video tensor by factorizing it using modified higher order singular value decomposition (HOSVD). Each factor (mode matrix) of a video tensor obtained after modified HOSVD can be thought of as a subspace and hence represents a point in Grassmann manifold (ℳGM). These factors cumulatively represent a point in product Grassmann manifold (ℳPGM). We propose a novel kernel for ℳPGM that measures the similarity between two points in ℳPGM and generates a kernel-gram matrix. For representation learning, we diagonalize the obtained kernel-gram matrix and generate a small fixed length representation corresponding to each point in ℳPGM. Classification is performed in sparse framework with minimum residual error as classifier. Experimentation is carried out over Cambridge hand gesture and UMD Keck body gesture databases for both static and dynamic settings. Experimental study shows that even with small length feature representation, there is a significant improvement in classification results as compared to state-of the-art techniques.
Impact of prechemotherapy preparation on knowledge, coping attitude and satisfaction among newly diagnosed patients with cancer

Objective: Cancer’s patients receiving chemotherapy need information about the treatments and self-care that must practice in order to prevent serious complications. Purpose of the study: To determine the impact of prechemotherapy preparation on knowledge, coping attitude and satisfaction among newly diagnosed patients with cancer.Methods: Quasi experimental research design was used. The study was conducted at outpatient’s chemotherapy clinic and at word of the Oncology Menoufia University Hospital, Shebin El-Kom, Egypt. A convenience sample of 100 adult patients of both sexes who were diagnosed with cancer in the Oncology outpatient clinic and would receive first time chemotherapy treatment were enrolled in this study. Three tools were used. Tool I: Chemotherapy Patients needs assessment: structured interviewing scheduled questionnaire: The tool consisted of the following 2 parts. Part 1: Sociodemographic and clinical data, Part II: Pre Chemotherapy Knowledge Assessment Sheet. Tool II: 16 attributes of cancer therapy satisfaction questionnaire (CTSQ). Tool III: Cancer Coping Questionnaire (CCQ) 21 Items Versions.Results: The study group had better knowledge, coping and satisfaction post intervention than control group. There was statistically considerable differences between study and control group concerning the mean total score of satisfaction and coping (p value < .001). There were significant positive correlation total score of cancer coping and mean score of cancer therapy satisfaction p value < . 001.Conclusions: Prechemotherapy preparation to cancer patients improved patient’s knowledge, satisfaction and coping. Recommendation: Prechemotherapy education should be considered a part of routine nursing care performed for all newly diagnosed patients with cancer who would receive chemotherapy for first time.
Predicting the conservation status of Europe’s Data Deficient sharks and rays

Shark and ray biodiversity is threatened primarily by overfishing and the globalisation of trade, and Europe has been one of the most documented heavily fished regions for a relatively long time. Yet, we have little idea of the conservation status of the hundreds of Data Deficient shark and ray species. It is important to derive some insight into the status of these species, both to understand global extinction rates and also to ensure that any threatened Data Deficient species are not overlooked in conservation planning. Here, we developed a biological and ecological trait model to predict the categorical conservation status of 26 Northeast Atlantic and 15 Mediterranean Sea Data Deficient sharks and rays. We first developed an explanatory model based on all species evaluated on the International Union for Conservation of Nature (IUCN) Red List of Threatened SpeciesTM, using maximum body size, median depth (as a proxy for fisheries exposure), and reproductive mode, and then predicted the status of all Data Deficient species. Almost half of Northeast Atlantic (46%, n=12 of 26), and two-thirds of Mediterranean (67%, n=10 of 15) Data Deficient species are predicted to be in one of the three IUCN threatened categories. Northeast Atlantic Data Deficient species are predicted to be 1.2 times more threatened than evaluated species (38%, n=36 of 94), whereas threat levels in the Mediterranean Sea are relative for each (66%, n=38 of 58). This case study is intended for extrapolation to the global shark and ray dataset upon completion of the global IUCN Red List assessment. Trait-based, categorical prediction of conservation status is a cost-effective approach towards incorporating Data Deficient species into (i) estimates of lineage-wide extinction rates, (ii) revised protected species lists, and (iii) Red List Indices, thus preventing poorly known species from reaching extinction unnoticed.
Molecular and Functional Analysis of Resistance Expansion and Suppression for Alleles of the Powdery Mildew Resistance Gene Pm3 in Wheat

| 5 Abstract Developing high yielding and high quality varieties with broad-spectrum and durable disease resistance is the ultimate goal of crop breeding. Resistance (R) genes encoding proteins with nucleotide-binding site (NBS) and leucine-rich repeat (LRR) domains provide high levels of resistance, but this type of R genes usually only confers resistance to a subset of pathogen races. In addition, major R-gene resistance is often rapidly overcome by newly adapted pathogen races when employed in agriculture. In this thesis the allelic series of the NBS-LRR-encoding powdery-mildew resistance gene Pm3 of wheat was analyzed in two projects.Developing high yielding and high quality varieties with broad-spectrum and durable disease resistance is the ultimate goal of crop breeding. Resistance (R) genes encoding proteins with nucleotide-binding site (NBS) and leucine-rich repeat (LRR) domains provide high levels of resistance, but this type of R genes usually only confers resistance to a subset of pathogen races. In addition, major R-gene resistance is often rapidly overcome by newly adapted pathogen races when employed in agriculture. In this thesis the allelic series of the NBS-LRR-encoding powdery-mildew resistance gene Pm3 of wheat was analyzed in two projects. In the first project, Pm3 alleles with a broad and a narrow resistance spectrum were investigated. It was found that Pm3 alleles with a broad resistance spectrum can induce a fast and intense hypersensitive response (HR) in a Nicotiana transient-expression system and this activity could be attributed to two particular amino acids in the ARC2 subdomain of the NBS. The combined substitution of these amino acids in narrow-spectrum PM3 proteins enhanced their capacity to induce an HR in Nicotiana benthamiana, and it was found that these substitutions also enlarge the resistance spectrum of the Pm3f allele in wheat. Using the rice gene Bph14, it was confirmed that the region carrying the two relevant amino acids also plays a role in the HR regulation of another coiled-coil NBS-LRR resistance protein. These results improve the mechanistic understanding of NBS-LRR-protein function and suggest an approach to extend the effectiveness of resistance genes via minimal targeted modifications in
Extant mammal body masses suggest punctuated equilibrium

Is gradual microevolutionary change within species simultaneously the source of macroevolutionary differentiation between species? Since its first publication, Darwin's original idea that phenotypic differences between species develop gradually over time, as the accumulation of small selection-induced changes in successive generations has been challenged by palaeontologists claiming that, instead, new species quickly acquire their phenotypes to remain virtually unchanged until going extinct again. This controversy, widely known as the ‘punctuated equilibrium’ debate, remained unresolved, largely owing to the difficulty of distinguishing biological species from fossil remains. We analysed body masses of 2143 existing mammal species on a phylogeny comprising 4510 (i.e. nearly all) extant species to estimate rates of gradual (anagenetic) and speciational (cladogenetic) evolution. Our Bayesian estimates from mammals as well as separate sub-clades such as primates and carnivores suggest that gradual evolution is responsible for only a small part of body size variation between mammal species.
A space-time precoded hybrid beamforming architecture for broadband transmissions in 60GHz radio

A cost-effective architecture is studied for a joint radio frequency (RF) and baseband hybrid beamforming (HBF) method that uses planar antenna arrays (PAA) in 60GHz radio transmission. Under the hybrid architecture, a space-time precoded HBF scheme is presented to exploit the spatial diversity for non line-of-sight transmission in 60GHz radio. Furthermore, an efficient one-bit feedback (OBF) beamforming (BF) scheme is proposed to search for the pointing directions of each RF beamformer (BFer) of the HBF architecture. Simulation results show that the proposed HBF architecture can provide a 5∼10dB gain in the signal to noise ratio compared to an architecture that uses the RF BF only. In addition, the OBF BF scheme converges close to the LOS transmission in 15 iterations, which is much more efficient than exhaustively searching for the BF directions.