King Juan Carlos University
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Bitcoin Investment Strategies Based on Google Trends and AI Models
The evolution of the price of bitcoin has captured the attention of ana-lysts in recent years. But how can a cryptocurrency be valued? Given that the price is linked to expectations, we propose, in this paper, to predict the trend of bitcoin using Google Trends as an explanatory variable. To do so, we develop two alternative algorith-mic trading systems that buy or sell bitcoin depending on whether the searches for this term in Google in-crease or decrease. The approach is powered using artificial intelligence. The results of these trading systems are positive and show that trading strategies can be implemented based on investors' mood about an asset, in this case measured through Goog-le Trends. The use of artificial intelli-gence in trading is new and this is an example of its potential
THE REPRESENTATION OF THE BODY OF THE GAUCHO AND THE BULLFIGHTER IN THE FILMS GAUCHO NOBILITY (1915) AND BLOOD AND SAND (1916)
Proyecto I D, VISIONES DEL CUERPO ENFERMO EN EL CINE Y LA FOTOGRAFÍA: PATOLOGÍAS FÍSICAS Y PSÍQUICAS (1885-1920). Ref.: PID2021-125555NB-I00.Este artículo se centra en el análisis de la representación de los cuerpos del gaucho y del torero que protagonizan respectivamente la película argentina Nobleza gaucha (1915) y la española Sangre y arena (1916). Ambas películas comparten ser producto de una época cinematográfica de transición entre el cine de los orígenes y el cine clásico. Observaremos cómo esta circunstancia tiene su reflejo en los distintos métodos con que cada uno de los dos films representan el cuerpo de sus protagonistas.
Abstract: This article focuses on the analysis of the re- presentation of the bodies of the gaucho and the bullfighter in the Argentinian film Nobleza gaucha (1915) and the Spanish Sangre y arena (1916). Both films share the fact that they are products of a cinematographic era of transition between the early cinema and the classic cinema. We will observe how this circumstance is reflected in the different methods with which each of the two films represent the bodies of their protagonists
Exploring the impact of visual components on the perceived realism of generative AI videos
Generative artificial intelligence (Gen-AI) tools have a significant impact on the creation of audiovisual content. Although these tools are still at an early stage in video production, there are tools such as Sora (OpenAI) that demonstrate the great potential of Gen-AI to create advanced audiovisual content. This study evaluates through a comparative analysis the level of realism, attractiveness and composition of the videos generated by Sora compared to real videos. Using a questionnaire validated by experts (n = 12), a quasi-experiment was conducted with college students (n = 62) who were divided into two groups: a control group that visualized real videos from YouTube and an experimental group that visualized videos created with the Sora tool. The results show that attractiveness, particularly the elements of lighting, saturation and color, are key factors in the recognition of a Gen-AI video. The paper concludes that Gen-AI tools should focus on improving the attractive elements to achieve more consistent and natural results
Depressive and Anxious Comorbidity and Treatment Response in Family Caregivers of People with Dementia
Background: While most intervention studies conducted with dementia family caregivers have focused on depressive symptoms as the main outcome, no study has analyzed the effects of an intervention on comorbid clinical presentations of depressive and anxious symptomatology. Objective: The aim of this study was to examine the association between clinical depressive and anxious symptomatology at baseline and treatment responses of dementia family caregivers using samples from two randomized intervention trials with the same pre-post design. Methods: Specifically, the effects on depressive and anxious comorbidity of three intervention conditions (Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (ACT), and a control group (CG)) were analyzed. Participants were 130 dementia family caregivers. In addition to sociodemographic variables, depressive and anxious symptomatology were measured. Results: Caregivers with clinical depressive and anxiety comorbid symptoms at baseline recovered less well from depressive symptoms after CBT (45.45%) and ACT (47.72%) interventions than caregivers with non-comorbidity (100% recovery in both treatments). No significant association between comorbidity and treatment responses on depression was found for the control group. Regarding anxiety, among participants with comorbidity at baseline, 36.36% of caregivers in CBT and 30.9 % in the ACT group recovered from anxiety symptoms after treatment, compared to 6.45% in the control group. Similar results were obtained regarding those caregivers who recovered both from clinical depressive and anxiety symptoms and showed comorbidity at baseline. Conclusion: Caregivers that show comorbid depressive and anxiety symptoms at baseline may benefit less from interventions than caregivers who do not show comorbidity
Apuntes de Teoria Criptografia
Apuntes de teoría cubriendo seguridad perfecta, simétrica y asimétrica. Material docente presentado en la Convocatoria de Reconocimiento de publicación de asignaturas en abierto 2025-2026
Exploring the Effectiveness of OKRs in Enhancing Company Objectives: A Comparative Study
The use of management by objectives (MBO) methodologies, particularly the Objectives and Key Results (OKR) framework, has gained widespread attention in recent years as a means of improving organizational performance. This research aims to show that OKRs, a key MBO method, can enhance company performance and employee satisfaction. We conducted a comparative and retroactive analysis of MBO methods used in the 20th and 21st centuries, and surveyed 238 people in nine countries and various companies and positions. We analyzed the results of the survey and compared the variables associated with best practices in the OKR methodology. Our study examined a diverse range of companies, positions, qualifications, and ages, which provides an analysis of whether or not OKR are being used in the organization and a comprehensive understanding of how OKRs can be implemented across in different contexts. By identifying the best variables associated with optimal performance and employee satisfaction, our research provides practical guidance for organizations seeking to adopt OKR methodology. Furthermore, our study can contribute to the development of best practices in the area of management by objectives, particularly in the context of OKRs, leading to more effective and efficient goal-setting practices in organizations
How stress and anxiety when using mobile restaurant reservation Apps influence users`s satisfaction and trust
Purpose The main aim of this study is to analyze if the users' stress and anxiety when using mobile Apps for restaurant reservations influence their trust and satisfaction toward the restaurants. In addition to this, the relationship between satisfaction and trust is studied. The study sample is the Indian population in Spain. Design/methodology/approach To achieve the objectives set, the questionnaire measuring each of the variables used in the study was carried out. A variance-based structural equation model, partial least squares (PLS), was used for statistical analysis of the data. Findings The results obtained have shown that the relations stress-satisfaction, anxiety-satisfaction and satisfaction-trust are accepted to be significant, whereas the relations stress-trust and anxiety-trust are rejected because they do not fulfill the minimum standards of significance. Originality/value This study is an important contribution in the academic literature because there are not many studies that analyze the variables of stress and anxiety in the context of marketing. In addition to this, the study sample is the Indian population resident in Spain, the population that is not studied in depth
From Laboratory Tests to the Ecoremedial System: The Importance of Microorganisms in the Recovery of PPCPs-Disturbed Ecosystems
The presence of a wide variety of emerging pollutants in natural water resources is an important global water quality challenge. Pharmaceuticals and personal care products (PPCPs) are known as emerging contaminants, widely used by modern society. This objective ensures availability and sustainable management of water and sanitation for all, according to the 2030 Agenda. Wastewater treatment plants (WWTP) do not always mitigate the presence of these emerging contaminants in effluents discharged into the environment, although the removal efficiency of WWTP varies based on the techniques used. This main subject is framed within a broader environmental paradigm, such as the transition to a circular economy. The research and innovation within the WWTP will play a key role in improving the water resource management and its surrounding industrial and natural ecosystems. Even though bioremediation is a green technology, its integration into the bio-economy strategy, which improves the quality of the environment, is surprisingly rare if we compare to other corrective techniques (physical and chemical). This work carries out a bibliographic review, since the beginning of the 21st century, on the biological remediation of some PPCPs, focusing on organisms (or their by-products) used at the scale of laboratory or scale-up. PPCPs have been selected on the basics of their occurrence in water resources. The data reveal that, despite the advantages that are associated with bioremediation, it is not the first option in the case of the recovery of systems contaminated with PPCPs. The results also show that fungi and bacteria are the most frequently studied microorganisms, with the latter being more easily implanted in complex biotechnological systems (78% of bacterial manuscripts vs. 40% fungi). A total of 52 works has been published while using microalgae and only in 7% of them, these organisms were used on a large scale. Special emphasis is made on the advantages that are provided by biotechnological systems in series, as well as on the need for eco-toxicological control that is associated with any process of recovery of contaminated systems
ChatGPT's performance in university admissions tests in mathematics
This study comprehensively analyses the performance of the artificial intelligence (AI)-based language model, ChatGPT 4.0, in solving Spanish university admission tests in applied mathematics in social sciences. Using exams taken at public universities in Madrid, we have analysed ChatGPT's answers and concluded that its performance varies significantly across different areas of mathematics, excelling in probability and statistics exercises, but performing significantly worse in algebra and calculus. When compared with students, ChatGPT clearly outperforms them in all areas except algebra. Despite the model's limitations in interpreting complex mathematical ideas, in some cases its responses are positively surprising, indicating its potential as a valuable tool in certain mathematical problem-solving scenarios. Our results suggest significant potential for the introduction of these AI-based systems into the classroom. Despite the progress made, much remains to be explored regarding the efficient integration of chatbots into course development and the subsequent impact on education
The taxonomic status of Aphelenchoides besseyi Christie, 1942 (Nematoda: Aphelenchoididae) populations from the southeastern USA, and description of Aphelenchoides pseudobesseyi sp. n.
Populations reviously identified as Aphelenchoides besseyi were studied. Using an integrated approach, the A. besseyi species complex contains several cryptic species: A. besseyi sensu stricto, A. oryzae, A. pseudobesseyi sp. n. and other putative undescribed species. A population from Florida strawberry morphologically fits the A. besseyi of both Christie and Allen and is considered the only representative of this species. A Louisiana rice population fitted the descriptions of A. oryzae of both Yokoo and Fortuner; PUS length was consistently less than one-third of VA. Aphelenchoides oryzae, parasitising rice and other monocots, was re-established based on morphological and molecular datasets. Three populations from Florida ornamental plants (Dryopteris erythrosora, Echinacea sp. and Farfugium japonicum) differed from those of the two above-mentioned species and are described as A. pseudobesseyi sp. n. Populations previously identified as 'A. besseyi' from several countries were considered representatives of this new species, which usually had a large and conspicuous PUS, 8-14 mu m wide and with a length greater than one-third of VA in 40-70% of studied specimens. Morphological variability made separation of A. pseudobesseyi sp. n. from A. oryzae and A. besseyi unreliable without the examination of numerous specimens and molecular analysis