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The symbiosis between LVMH and the Paris 2024 Olympic Games : A case study on value co-creation in an urban context
Full text linkPublisher Copyright: © (2024), (Urban Creativity). All Rights Reserved.The study examines the synergy between LVMH and the city of Paris in the context of the 2024 Olympic Games. Using tools like Instagram and Google Trends, it investigates how LVMH has leveraged the global attention on the French capital to enhance its brand image. Preliminary results show a significant increase in searches related to LVMH and its brands, highlighting the effectiveness of this strategy. The research emphasizes the mutual benefits of this strategic collaboration, reinforcing Paris's position as a global hub for fashion and luxury while consolidating LVMH's leadership in the sector. Theoretically, the study contributes valuable insights to the fields of sports marketing and sponsorship, providing lessons for other organizations seeking similar partnerships.Peer reviewe
Implementation of a clinical interview guide to Multidimensional needs assessment in Palliative care (MAP) : A multicenter mixed-methods feasibility study
No full textPublisher Copyright: © 2025 Crespo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Background A recent systematic review highlighted the lack of consensus on the needs that should be assessed in palliative care to develop the initial therapeutic plan. An agreed clinical interview guide for Multidimensional needs Assessment in Palliative Care (MAP) has recently been proposed. Objective To evaluate the feasibility of implementing the MAP guide in clinical practice. Methods A multicenter explanatory sequential mixed-methods feasibility study was conducted, assessing five indicators: a) acceptability to patients and family members (assessed by phone); b) participation (proportion of eligible patients assessed); c) applicability (time to administer); d) clinical utility as perceived by physicians; and e) implementation in practice. Twenty-four palliative care physicians across 10 services (outpatient, in-patient, domiciliary care) administered the MAP guide in 239 initial assessments of patients with advanced cancer. A focus group was conducted with 17 of the physicians to gather insights. Results Indicators of acceptability, participation, applicability, and perceived clinical utility were fulfilled in over 90% of interviews. Implementation fell just short of the criterion (78% of needs assessed vs. 80% threshold). Patients and families provided highly positive feedback on the appropriateness of the MAP guide. Physicians found it flexible and easy to integrate into clinical practice, helping them structure the initial assessment and offer a much more comprehensive assessment of patients’ needs. Conclusions The study supports the feasibility of using the MAP guide to explore palliative care needs. The MAP guide can help ensure that professionals do not overlook unmet needs, which could increase suffering and undermine quality of life.Peer reviewe
JorGPT : Instructor-Aided Grading of Programming Assignments with Large Language Models (LLMs)
Full text linkPublisher Copyright: © 2025 by the authors.This paper explores the application of large language models (LLMs) to automate the evaluation of programming assignments in an undergraduate “Introduction to Programming” course. This study addresses the challenges of manual grading, including time constraints and potential inconsistencies, by proposing a system that integrates several LLMs to streamline the assessment process. The system utilizes a graphic interface to process student submissions, allowing instructors to select an LLM and customize the grading rubric. A comparative analysis, using LLMs from OpenAI, Google, DeepSeek and ALIBABA to evaluate student code submissions, revealed a strong correlation between LLM-generated grades and those assigned by human instructors. Specifically, the reduced model using statistically significant variables demonstrates a high explanatory power, with an adjusted R2 of 0.9156 and a Mean Absolute Error of 0.4579, indicating that LLMs can effectively replicate human grading. The findings suggest that LLMs can automate grading when paired with human oversight, drastically reducing the instructor workload, transforming a task estimated to take more than 300 h of manual work into less than 15 min of automated processing and improving the efficiency and consistency of assessment in computer science education.Peer reviewe
Comparing the Resistance Training Stimuli Using Velocity Feedback or Perceived Exertion in Bench Press
No full textPublisher Copyright: © 2024 National Strength and Conditioning Association.Peer reviewe
Effectiveness of hyaluronic acid in the treatment of Peyronie's disease in the light of the European Urology Guidelines : the real-world experience
No full textPeer reviewe
Transthyretin amyloid cardiomyopathy : A paradigm for advancing precision medicine
No full textPublisher Copyright: © 2025 The Author(s).Development of specific therapies addressing the underlying diseases' mechanisms constitutes the basis of precision medicine. Transthyretin cardiac amyloidosis (ATTR-CM) is an exemplar of precise therapeutic approach in the field of heart failure and cardiomyopathies. A better understanding of the underlying pathophysiology, more precise data of its epidemiology, and advances in imaging techniques that allow non-invasive diagnosis have fostered the development of new and very effective specific therapies for ATTR-CM. Therapeutic advances have revolutionized the field, transforming a rare, devastating, and untreatable disease into a more common disease with several therapeutic alternatives available. Three main types of therapies (stabilizers, suppressors, and degraders) that act at different points of the amyloidogenic cascade have been developed or are currently under investigation. In this review, the key advances in pathophysiology and epidemiology that have occurred in the last decades along with the different therapeutic alternatives available or under development for ATTR-CM are described, illustrating the role of precision medicine applied to cardiovascular disorders. Pending questions that would need to be answered in upcoming years are also reviewed.Peer reviewe
The Natural Law of the Accumulation of WealthFrom Scholasticism to Locke
Full text linkPublisher Copyright: © 2025, Instituto de Estudios Auriseculares (IDEA). All rights reserved.This work presents a synthesis of the judgment of legality that, from assumptions of natural law, deserves the acquisition and accumulation of wealth. The concept of Aristotelian chrematistics is analysed, and two developments are pointed out that, without denying its fundamentals, scholastic thought carries out. The first, related to the division of property from a primitive state of common possession of all things. The second concerning profit in the context of commercial activity. In both cases, the labour performed constitutes a legitimate title of appropriation (a principle that is absent in Aristotle), which will give rise to John Locke’s influential theory of property.Peer reviewe
Evaluating the Cost-Effectiveness of Antenatal Screening for Major Structural Anomalies During the First Trimester of Pregnancy : A Decision Model
No full textPublisher Copyright: © 2025 The Author(s). BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.Objective: To assess the cost-effectiveness of modifying current antenatal screening by adding first trimester structural anomaly screening to standard of care second trimester anomaly screening. Design: Health economic decision model. Setting: National Health Service (NHS) in England and Wales. Population: Pregnant women attending for first trimester antenatal screening. Methods: The decision model estimated pregnancy outcomes (maternal and foetal) and 20-year costs for current screening practice and for a policy adding a protocol screening for eight major structural anomalies to the current first trimester ultrasound scan. Event probabilities, costs, and outcomes for the model were informed by meta-analyses, published literature, and expert opinion. Main Outcomes Measures: Expected numbers of pregnancy outcomes, healthcare costs, and maternal quality-adjusted life years (QALYs). Estimation of the incremental cost-effectiveness ratio (ICER), likelihood of cost-effectiveness, and a value of information (VoI) analysis assessing if further research is needed before making a decision about screening. Results: First trimester anomaly screening increased mean per woman costs by £11 (95% CI £1–£29) and maternal QALYs by 0.002065 (95% CI 0.00056–0.00358). The ICER was £5270 per QALY and the probability of cost-effectiveness at a willingness to pay value for a QALY of £20 000, exceeded 95%. VoI analysis showed further research would be unlikely to represent value for money. The protocol would likely lead to a reduction in infant healthcare costs and QALYs. Conclusions: A protocol to screen for eight major structural anomalies during the first trimester appears to represent value for money for the NHS. The opposing implications for mothers and infants, however, raise complex, challenging, and sensitive issues.Peer reviewe
A heuristic model for the cost of capital of healthcare facilities : estimates for five countries
Full text linkPublisher Copyright: © The Author(s) 2025.Background: The healthcare industry has seen increasing demand, making it an attractive sector for long-term investment. Investors typically assess feasibility through an investment evaluation process that includes calculating the cost of capital and net present value. However, existing research has primarily focused on cost of capital methodologies for large corporations, often overlooking small and medium-sized enterprises. This study aimed to address that gap by proposing a simplified model to estimate the cost of capital for healthcare facilities, with particular emphasis on smaller organizations. The model incorporated key explanatory variables, including investment magnitude, organizational size, administrative expertise, and the geographical region of investment. To illustrate its applicability, we provided estimates for Chile, Germany, Spain, the United Kingdom, and the United States of America. Methods: We reviewed existing research on techniques for estimating capital costs for healthcare facilities. Building on these foundations, we developed an approach that is straightforward, adaptable, and based on publicly accessible data. Our method segmented the cost of capital into two components: (i) risks associated with the country and sector in which the investment is made, and (ii) supplementary risks arising from the investment’s scale, age, or stage of development. Results: We provided a detailed explanation of the proposed method and presented numerical estimates of the cost of capital for healthcare facilities of various sizes across several countries. The final quantitative assessments of the cost of capital ranged from 14.6% and higher, depending on the specific attributes of the investments. Conclusion: This study introduced a novel, straightforward, and user-friendly method for estimating capital costs in the healthcare sector. The model accounted for various factors influencing investment risk, including investment size, the experience level of the management team, and the country of investment. In summary, the approach supports the estimation of the cost of capital for healthcare facility investments and can be used by policymakers and healthcare leaders to make informed decisions on new investments.Peer reviewe
Geometric immunosuppression in CAR T-cell treatment : Insights from mathematical modeling
Full text linkPublisher Copyright: © 2025 The Author(s)Chimeric antigen receptor T (CAR T) cell therapy has emerged as a promising treatment for hematological malignancies, offering a targeted approach to cancer treatment. Understanding the complexities of CAR T-cell therapy within solid tumors poses challenges due to the intricate interactions within the tumor microenvironment. Mathematical modeling may serve as a valuable tool to unravel the dynamics of CAR T-cell therapy and improve its effectiveness in solid tumors. This study aimed to investigate the impact of spatial aspects in CAR T therapy of solid tumors, utilizing cellular automata for modeling purposes. Our main objective was to deepen our understanding of treatment effects by analyzing scenarios with different spatial distributions and varying the initial quantities of tumor and CAR T-cells. Tumor geometry significantly influenced treatment efficacy in-silico, with notable differences observed between tumors with block-like arrangements and those with sparse cell distributions, leading to the concept of immune suppression due to geometrical effects. This research delves into the intricate relationship between spatial dynamics and the effectiveness of CAR T therapy in solid tumors, highlighting the relevance of tumor geometry in the outcome of cellular immunotherapy treatments. Our results provide a basis for improving the efficacy of CAR T-cell treatments by combining them with other ones reducing the density of compact tumor areas and thus opening access ways for tumor killing T-cells.Peer reviewe