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In the recent report The Impact of Influencers on Advertising and Consumer Protection in the Single Market the European Parliament mentions the use of nudity and sexual content and the role of perceptions and expectations towards body image and perfect images. What most moves consumers' attitudes and behavioral intentions is the credibility, attractiveness (both physical and in terms of familiarity and likability), expertise, trustworthiness, popularity, prestige and high power of the influencers. In Spain two White Papers on influencer marketing indicate that a common form of socialization, especially for girls and women, consists of showing a sexy or a perfect body and projecting an egocentric image. The aim of this research is to analyze the presence of self-objectification in top influencers in Spain and to identify its relationship with either social values of success and recognition or stereotypes. The methodology carried out has been a content analysis of 246 images of the first 14 top influencers that appear in the Report of the 500 most influential men and women influencers in Spain in 2022. From a previous literature review, the analysis has been conducted with a deductiveinductive research paradigm through coding with QSR Nvivo the following categories of selfobjectification: (1) sexy self-presentation; (2) appearance-centered attitude towards one's own perfect body - egocentric image; (3) stereotypical gender representation; and (4) success, social recognition, or popularity. The results show that self-objectification is more predominant in women than in men, and that it has an important correspondence with the self-perception of the professions they have as well as with age, being mainly belonging to the Z Generation. Both women and men who selfperceive themselves as having professions in which physical appearance is relevant (models or actors) tend to objectify themselves more. However, success and social recognition are more evident in those male influencers who emphasize their professional facet and do not resort to self-sexualization of their bodies (businessmen, advertisers or youtubers). [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos de Turismo is the property of Servicio de Publicaciones de la Universidad de Murcia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Transfer learning methods reuse a deep learning model developed for a task on another task. Such methods have been remarkably successful in a wide range of image processing applications. Following the trend, few transfer learning based methods have been proposed for unsupervised multi-temporal image analysis and change detection (CD). Inspite of their success, the transfer learning based CD methods suffer from limited explainability. In this paper, we propose an explainable convolutional autoencoder model for CD. The model is trained in: 1) an unsupervised way using, as the bi-temporal images, patches extracted from the same geographic location; 2) a greedy fashion, one encoder and decoder layer pair at a time. A number of features relevant for CD is chosen from the encoder layer. To build an explainable model, only selected features from the encoder layer is retained and the rest is discarded. Following this, another encoder and decoder layer pair is added to the model in similar fashion until convergence. We further visualize the features to better interpret the learned features. We validated the proposed method on a Landsat-8 dataset obtained in Spain. Using a set of experiments, we demonstrate the explainability and effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

Copyright of Conservar Património is the property of Associacao Profissional de Conservadores-Restauradores de Portugal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There is evidence of medieval Polish pilgrimages to (place) and the first Polish writings about Latin America date back to the 16th century. Since then the Hispanic World has raised the interest of the Polish population and its perception has been reflected not only in literary works but also in Spanish teaching books. This paper aims to approach the concept of country image, and it will reflect on the first trips of Polish citizens to Spain and Latin America and the first writings, treatises and bilateral relationships between these countries. It will also reflect on the beginnings of the teaching of Spanish as a Second Language in Poland and the use of the first teaching methods in the country. An analysis of the image of the Hispanic world in the manual Język hiszpański dla lektoratów (1971) by Oskar Perlin and the interpretation of some examples from the manual will follow. [ABSTRACT FROM AUTHOR]

Accurate greenhouse mapping can support environment monitoring and resource management. In an object-based image analysis (OBIA) approach focused on plastic covered greenhouses (PCG) classification, the segmentation is a crucial step for the goodness of the final results. Multiresolution segmentation (MRS) is one of the most used algorithms in OBIA approaches, being greatly enabled by the advent of the commercial software eCognition. Therefore, in addition to the segmentation algorithm used, it is very important to count on tools to assess the quality of segmentation results from digital images in order to obtain the most similar segments to the real PCG objects. In this work, several factors affecting MRS such as the type of input image and the best MRS parameters (i.e., scale, compactness and shape), have been analysed. In this regard, more than 2800 segmentations focused on PCG land cover were conducted from four pre-processed Deimos-2 very high-resolution (VHR) satellite orthoimages taken in the Southeast of Spain (Almería). Specifically, one multispectral and one pansharpened Deimos-2 orthoimages, both with and without atmospheric correction were tested in this work. The free access AssesSeg command line tool, based on a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2), was used to determine the best MRS parameters for all the VHR satellite images. According to both the supervised discrepancy measure ED2 and visual perception, the best segmentation on PCG was obtained over the atmospherically corrected pansharpened Deimos-2 orthoimage, achieving very good results. [ABSTRACT FROM AUTHOR]

Information about several topics discussed at the 2007 IEEE International Symposium on Intelligent Signal Processing held at Alcalá de Henares in Madrid, Spain in October 3-5 is presented. Topics include mobile robot applications and their interaction with the environment. It also discussed intelligent image analysis and intelligent sensor processing.

This paper presents a methodology for tile image reconstruction. This methodology is integrated in a computer tool that allows automatic image analysis. Both, the reconstruction and analysis techniques are based on vectorial tools, the application of the theory of symmetry groups and perceptual psychology. Image analysis allows us to obtain information about design patterns which is used to restitute (recover missing motifs), unify (choose between different motifs that should be equal) and standardize (fit motifs exactly to their symmetry axes and rotation centers) old designs. This methodology for tile image reconstruction has been applied to different Islamic mosaics from the Alhambra of Granada (Spain), the Aq-Saray Palace of Shar-i-Sabz (Uzbekistan) and the Red Fortress of Agra (India). The analysis results are presented in this paper. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The objective of this study was to identify university student profiles with different levels of predisposition and usage of digital competences in social communication and collaborative learning (CSCCL) as well as technology use in information search and treatment (CSTI). The sample comprised 383 students from three state universities in Spain. The study employed a questionnaire called "basic digital competences 2.0 in university students" (COBADI). Chi-squared automatic interaction detection (CHAID) algorithm was used for data analysis due to its capability to handle both quantitative and qualitative variables, enabling profiling and the generation of predictive models with easily interpretable graphical representations (decision trees). The results revealed a high level of digital competence in socialization and execution of tasks online, managing digital tools for planning study time, and using resources for information searching and browsing. These findings align with previous works on collaborative writing on the Internet and digital competence. However, students demonstrated low digital competence in data analysis processes and image production using social software apps, which has been linked to task complexity and heavy workload in other studies. Interestingly, the students' sociodemographic characteristics (age, sex, and university attended) did not influence their predisposition towards the analyzed digital competences. In conclusion, enhancing effective digital teaching in higher education can be achieved by incorporating the teaching of critical analysis of information, addressing information overload, providing instruction on social software apps, and emphasizing collaborative learning. These strategies aim to help students acquire and apply knowledge relevant to the current job market. [ABSTRACT FROM AUTHOR]

Santolina is a clear example of a genus lying in an alpha‐taxonomic status, with species accepted only based on qualitative morphological descriptions. In particular, taxonomic issues still need to be resolved for Santolina populations from southern France and north‐eastern Spain, and so, we carried out an integrative taxonomic study involving morphometrics, cypsela morphometrics, niche overlap, and phylogenetic analysis based on six plastid markers (trnH‐psbA, trnL‐trnF, trnQ‐rps16, rps15‐ycf1, psbM‐trnD, and trnS‐trnG). Our results revealed that the current taxonomic circumscription is not adequate. In particular, the Santolina populations at the foothills of eastern Pyrenees, previously included in the variability of Santolina benthamiana, have to be considered as a distinct species, namely, Santolina intricata. In addition, despite their high phylogenetic relatedness, S. benthamiana s.str. and Santolina ericoides can still be considered as distinct species due to clear morphological and ecological differentiation. Finally, we demonstrated that three different subspecies can be recognized in Santolina decumbens, a species endemic to Provence. For one of these subspecies, due to its extremely restricted distribution range, conservation issues are pointed out. [ABSTRACT FROM AUTHOR]

Plastic covered greenhouse (PCG) mapping via remote sensing has received a great deal of attention over the past decades. The WorldView-3 (WV3) satellite is a very high resolution (VHR) sensor with eight multispectral bands in the visible and near-infrared (VNIR) spectral range, and eight additional bands in the short-wave infrared (SWIR) region. A few studies have already established the importance of indices based on some of these SWIR bands to detect urban plastic materials and hydrocarbons which are also related to plastics. This paper aims to investigate the capability of WV3 (VNIR and SWIR) for direct PCG detection following an object-based image analysis (OBIA) approach. Three strategies were carried out: (i) using object features only derived from VNIR bands (VNIR); (ii) object features only derived from SWIR bands (SWIR), and (iii) object features derived from both VNIR and SWIR bands (All Features). The results showed that the majority of predictive power was attributed to SWIR indices, especially to the Normalized Difference Plastic Index (NDPI). Overall, accuracy values of 90.85%, 96.79% and 97.38% were attained for VNIR, SWIR and All Features strategies, respectively. The main PCG misclassification problem was related to the agricultural practice of greenhouse whitewash (greenhouse shading) that temporally masked the spectral signature of the plastic film. [ABSTRACT FROM AUTHOR]

Novel techniques, such as microwave imaging, have been implemented in different prototypes and are under clinical validation, especially for breast cancer detection, due to their harmless technology and possible clinical advantages over conventional imaging techniques. In the prospective study presented in this work, we aim to investigate through a multicentric European clinical trial (ClinicalTrials.gov Identifier NCT05300464) the effectiveness of the MammoWave microwave imaging device, which uses a Huygens-principle-based radar algorithm for image reconstruction and comprises dedicated image analysis software. A detailed clinical protocol has been prepared outlining all aspects of this study, which will involve adult females having a radiologist study output obtained using conventional exams (mammography and/or ultrasound and/or magnetic resonance imaging) within the previous month. A maximum number of 600 volunteers will be recruited at three centres in Italy and Spain, where they will be asked to sign an informed consent form prior to the MammoWave scan. Conductivity weighted microwave images, representing the homogeneity of the tissues' dielectric properties, will be created for each breast, using a conductivity = 0.3 S/m. Subsequently, several microwave image parameters (features) will be used to quantify the images' non-homogenous behaviour. A selection of these features is expected to allow for distinction between breasts with lesions (either benign or malignant) and those without radiological findings. For all the selected features, we will use Welch's t-test to verify the statistical significance, using the gold standard output of the radiological study review. [ABSTRACT FROM AUTHOR]

In sun-and-beach destinations, weather has a decisive influence on the variability of the daily flow of tourists. Uncertainty in demand flows directly affects businesses and employment. This work aims to improve understanding of the behaviour of tourists in response to changes in weather conditions. The analysis is carried out in the Rías Baixas, a sun-and-beach destination in north-west Spain. The paper analyses the relationship of weather conditions with daily flows during the high season at the main tourist beaches in the area, also considering two beach typologies. The density of beach use is measured three times a day through the analysis of webcam images in combination with real-time weather, and an online survey is conducted among tourists who have visited these beaches. The results show that the hours of sunshine are the most influential weather factor. Weather forecast greatly or totally influenced the decision to go to the beach for almost 70% of respondents and about 80% of the respondents checked on the weather before visiting a beach. [ABSTRACT FROM AUTHOR]

The dehesa is an anthropic complex ecosystem typical of some areas of Spain and Portugal, with a key role in soil and biodiversity conservation and in the search for a balance between production, conservation and ecosystem services. For this reason, it is essential to have tools that allow its characterization, as well as to monitor and support decision-making to improve its sustainability. A multipurpose and scalable tool has been developed and validated, which combines several low-cost technologies, computer vision methods and RGB aerial orthophotographs using open data sources and which allows for automated agroforestry inventories, identifying and quantifying units with important ecological significance such as: trees, groups of trees, ecosystem corridors, regenerated areas and sheets of water. The development has been carried out from images of the national aerial photogrammetry plan of Spain belonging to 32 dehesa farms, representative of the existing variability in terms of density of trees, shrub species and the presence of other ecological elements. First, the process of obtaining and identifying areas of interest was automated using WMS services and shapefile metadata. Then, image analysis techniques were used to detect the different ecological units. Finally, a classification was developed according to the OBIA approach, which stores the results in standardized files for Geographic Information Systems. The results show that a stable solution has been achieved for the automatic and accurate identification of ecological units in dehesa territories. The scalability and generalization to all the dehesa territories, as well as the possibility of segmenting the area occupied by trees and other ecological units opens up a great opportunity to improve the construction of models for interpreting satellite images. [ABSTRACT FROM AUTHOR]

The tourism image is an element that conditions the competitiveness of tourism destinations by making them stand out in the minds of tourists. In this context, marketers of tourism destinations endeavour to create an induced image based on their identity and distinctive characteristics. A number of authors have also recognized the complexity of tourism destinations and the need for coordination and cooperation among all tourism agents, in order to supply a satisfactory tourist product and be competitive in the tourism market. Therefore, tourism agents at the destination need to develop and integrate strategic marketing plans. The aim of this paper is to determine how cities of similar cultures use their resources with the purpose of developing a distinctive induced tourism image to attract tourists and the extent of coordination and cooperation among the various tourism agents of a destination in the process of induced image creation. In order to accomplish these aims, a comparative analysis of the induced image of two cultural cities is presented, Girona (Spain) and Perpignan (France). The induced image is assessed through the content analysis of promotional brochures and the extent of cooperation with in-depth interviews of the main tourism agents of these destinations. Despite the similarities of both cities in terms of tourism resources, results show the use of different attributes to configure the induced image of each destination, as well as a different configuration of the network of tourism agents that participate in the process of induced image creation. [ABSTRACT FROM AUTHOR]

We present a project of bibliographical and documental research that consists in collecting, classifying, analyzing and digitally diffusing the illustrations contained in the printed matters (books, pamphlets, loose papers, etc.) from the fifteenth to the eighteenth centuries that are deposited in the libraries of the Region of Murcia. The general aim is the diffusion of information of difficult access, i.e. the engravings, taking advantage of the information technologies. We have established as partial objectives those of locating, identifying, digitizing, describing and disseminating the engravings. In order to achieve these objectives, a specific methodology has been devised, and accomplished in three successive phases: digitization, description and database management,. The result is a digital book engravings repository that allows for their retrieval by author, title, keywords, source, publisher, dates and other elements. This repository will improve the access to the information and it marks a new experience in metadata application for the description of images, whose effectiveness we will evaluate in a future phase. [ABSTRACT FROM AUTHOR]

Copyright of aDResearch ESIC: International Journal of Communication Research / Revista Internacional de Investigación en Comunicación is the property of ESIC Business & Marketing School and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The size–abundance spectrum (SAS) of phytoplankton is controlled by the interplay of physical and biological factors whose particular relevance varies between ecosystems. Here we report the results of a study of phytoplankton SAS in a system of eight estuarine shallow, eutrophic lagoons (Guadalhorce river, South Spain). SAS were obtained through a combination of flow cytometry and image analysis microscopy techniques covering six orders of magnitude from picoplankton to microplankton. Cell numbers were classified into a log2 scale of cell volume to model the log–log relation between cell abundance (cells/mL) and cell volume (μm3). The resulting averaged phytoplankton SAS can be described by a log–log transformed, power model with a slope of – 0.62 (that is, there is an allometric relation between the size and abundance of cells). The distribution of biovolume (μm3/l) in broader size categories is characterized by the dominance of nanoplankton (67.4%), followed by microplankton (30.1%) and picoplankton (2.5%). The minor relative contribution of picoplankton to total biovolume can be explained by a combination of high and variable rates of nutrient inputs, light stress and grazing. The biomass dominance of intermediate-size cells (nanoplankton) is coherent with experimental findings describing the unimodal size scaling of growth rate, with maximum values centered in this size category. [ABSTRACT FROM AUTHOR]

Mediterranean pines are subject to continuous change under the influence of natural and human factors. Remotely sensed data provide a means to characterize these changes over large areas. In this study we used a time series of Landsat imagery to capture 25 years (1984–2009) of change in the pine-dominated forests of the Central Range in Spain. Object-based image analysis methods were used to identify landscape-level changes in the area and the distribution of forests. We also propose that in the absence of disturbance, biomass accrual is occurring (or depletion in cases where removal is evident) and may be related to changes to the carbon stock; we describe the detected spectral changes in terms of biomass changes as the carbon stocking process. The primary inputs for the identification of changes in the area and distribution of pine stands were Landsat bands 3, 4 and 5 and the Tasseled Cap Angle (TCA) – a metric derived from the greenness and brightness components of the Tasseled Cap Transformation (TCT). In the identification of carbon stocking processes the temporal derivative of the TCA, the Process Indicator (PI), was used to inform on the rate and directionality of the change present. Our results show that the total area of pine forest has increased by 40%, from 1211 km2 to 1698 km2, during this period, with a variable rate of change. The distribution of pine-dominated forest has changed as well: there is an area of 765 km2 permanently covered with pines and 945 km2 found to be temporarily occupied. Following the logic of carbon stocking processes, our findings show that at the end of the analysis period, 20% of the potential pine area is increasing its carbon stock and 40% of this area is experiencing a decrease. [ABSTRACT FROM AUTHOR]

Much work has been done in construction of petrogenetic grids for regional-scale metamorphic terrains, but low-pressure assemblages, such as contact aureoles, have been relatively ignored. This study has focused on developing a petrogenetic transect for a granitic aureole using a portable field spectrometer. Distribution of mineral assemblages, their modes, metamorphic zones, paragenetic sequences and isograds were mapped along a 4km long transect The transect starts at the fresh granite and cuts through the metamorphic contact aureole into the host rocks. Metamorphic reactions responsible for mineral changes were also defined. The method demonstrated potential in mineral mapping and the results could be used to support other methods like hyperspectral image analysis. [ABSTRACT FROM AUTHOR]

Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study, we assessed changes in cover, number, and shape of Ziziphus lotus shrub individuals in a coastal groundwater-dependent ecosystem in SE Spain over a period of 60 years and related them to human actions in the area. In particular, we evaluated how sand mining, groundwater extraction, and the protection of the area affect shrubs. To do this, we developed an object-based methodology that allowed us to create accurate maps (overall accuracy up to 98%) of the vegetation patches and compare the cover changes in the individuals identified in them. These changes in shrub size and shape were related to soil loss, seawater intrusion, and legal protection of the area measured by average minimum distance (AMD) and average random distance (ARD) analysis. It was found that both sand mining and seawater intrusion had a negative effect on individuals; on the contrary, the protection of the area had a positive effect on the size of the individuals' coverage. Our findings support the use of OBIA as a successful methodology for monitoring scattered vegetation patches in drylands, key to any monitoring program aimed at vegetation preservation. [ABSTRACT FROM AUTHOR]