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The Rey-Osterrieth complex figure (ROCF) test is a neuropsychological task that can be useful for early detection of cognitive decline in the elderly population. Several computer vision systems have been proposed to automate this complex analysis task, but the lack of public benchmarks does not allow a fair comparison of these systems. To advance in that direction, we present a benchmarking framework for the automatic scoring of the ROCF test that provides: the ROCFD528 dataset, which is the first open dataset of ROCF line drawings; and experimental results obtained by several modern deep learning models, which can be used as a baseline for comparing new proposals. We evaluate different state-of-the-art convolutional neural networks (CNNs) under traditional and transfer learning paradigms. Experimental quantitative results (MAE = 3.448) indicate that a CNN specifically designed for sketches outperforms other state of the art CNN architectures when the number of examples available is limited. This benchmark can also be a paradigmatic example within the broad field of machine learning for the development of efficient and robust models for analyzing line drawings and sketches not only in classification but also in regression tasks., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information. Nevertheless, the black-box nature of ML algorithms and the heterogeneity within the data may result in varied interpretations across distinct studies. To avoid this, in this proposal, we present the design of a decision support system that integrates a machine learning model represented using the Semantic Web Rule Language (SWRL) in an ontology with specialized knowledge in neuropsychological tests, the NIO ontology. The system's ability to detect MCI subjects was evaluated on a database of 520 neuropsychological assessments conducted in Spanish and compared with other well-established ML methods. Using the F2 coefficient to minimize false negatives, results indicate that the system performs similarly to other well-established ML methods ( F2 TE2  = 0.830, only below bagging, F2 BAG  = 0.832) while exhibiting other significant attributes such as explanation capability and data standardization to a common framework thanks to the ontological part. On the other hand, the system's versatility and ease of use were demonstrated with three additional use cases: evaluation of new cases even if the acquisition stage is incomplete (the case records have missing values), incorporation of a new database into the integrated system, and use of the ontology capabilities to relate different domains. This makes it a useful tool to support physicians and neuropsychologists in population-based screenings for early detection of MCI., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Gómez-Valadés, Martínez-Tomás, García-Herranz, Bjørnerud and Rincón.)

Semantic fluency tests are one of the key tests used in batteries for the early detection of Mild Cognitive Impairment (MCI) as the impairment in speech and semantic memory are among the first symptoms, attracting the attention of a large number of studies. Several new semantic categories and variables capable of providing complementary information of clinical interest have been proposed to increase their effectiveness. However, this also extends the time required to complete all tests and get the overall diagnosis. Therefore, there is a need to reduce the number of tests in the batteries and thus the time spent on them while maintaining or increasing their effectiveness. This study used machine learning methods to determine the smallest and most efficient combination of semantic categories and variables to achieve this goal. We utilized a database containing 423 assessments from 141 subjects, with each subject having undergone three assessments spaced approximately one year apart. Subjects were categorized into three diagnostic groups: Healthy (if diagnosed as healthy in all three assessments), stable MCI (consistently diagnosed as MCI), and heterogeneous MCI (when exhibiting alternations between healthy and MCI diagnoses across assessments). We obtained that the most efficient combination to distinguish between these categories of semantic fluency tests included the animals and clothes semantic categories with the variables corrects, switching, clustering, and total clusters. This combination is ideal for scenarios that require a balance between time efficiency and diagnosis capability, such as population-based screenings., Competing Interests: Declaration of competing interest None declared., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Recently, the number of people acquiring tattoos has increased, with tattoos gaining significant popularity in people between 20 and 40 years old. Inflammation is a common reaction associated with tattooing. The purpose of this study was to evaluate a nanostructured lipid carrier loading pranoprofen (PRA-NLC) as a tattoo aftercare formulation to reduce the inflammation associated with tattooing. In this context, the in vitro drug release and the ex vivo permeation-through-human-skin tests using Franz cells were appraised. The tolerance of our formulation on the skin was evaluated by studying the skin's biomechanical properties. In addition, an in vivo anti-inflammatory study was conducted on mice skin to evaluate the efficacy of the formulation applied topically after tattooing the animals. PRA-NLC showed a sustained release up to 72 h, and the amount of pranoprofen retained in the skin was found to be 33.48 µg/g/cm 2 . The formulation proved to be well tolerated; it increased stratum corneum hydration, and no signs of skin irritation were observed. Furthermore, it was demonstrated to be non-cytotoxic since the cell viability was greater than 80%. Based on these results, we concluded that PRA-NLC represents a suitable drug delivery carrier for the transdermal delivery of pranoprofen to alleviate the local skin inflammation associated with tattooing.

Objective: Our objective was to evaluate if the use of low-dose aspirin (LDA) among pregnant individuals with chronic hypertension (CHTN) reduces the rate of superimposed preeclampsia or other adverse maternal and neonatal outcomes., Study Design: Our study included single-center cohort of pregnant individuals with CHTN who had a live birth after 23 weeks' gestation, between 2013 and 2018. The primary exposure was the use of LDA in pregnancy and the primary outcome was superimposed preeclampsia. LDA use was also evaluated by the timing of initiation, before or after 16 weeks' gestation. Secondary outcomes included preeclampsia subtypes (e.g., preeclampsia with severe features, early-onset disease), as well as adverse maternal and neonatal outcomes. Differences were analyzed by χ 2 , Fisher's exact, or t tests, with logistic regression to adjust for confounders., Results: Of 11,825 deliveries during the study period, 494 (4.2%) occurred in women with CHTN. Among those with CHTN, 174 (35%) were prescribed LDA, most often 81 mg daily (173 out of 174, 99%). Baseline characteristics were similar between groups, but the history of preeclampsia was more common in those prescribed LDA. The rate of superimposed preeclampsia was no different among those with CHTN-prescribed LDA compared with those who were not (36% vs. 30%, p  = 0.2), even when restricting the analysis to those prescribed LDA before 16 weeks' gestation (33 vs. 30%, p  = 0.2). In addition, LDA did not lead to a reduction in the rate of preeclampsia with severe features, early-onset preeclampsia, or other adverse maternal outcomes. However, the composite rate of adverse neonatal outcomes was lower in LDA users versus nonusers (4.0 vs. 13%, p  = 0.002), which persisted after multivariable adjustment (adjusted odds ratio: 0.28, 95% confidence interval: 0.12-0.67)., Conclusion: Among pregnant individuals with CHTN, LDA did not decrease the rate of superimposed preeclampsia. Further studies are warranted to validate our observed reduction in adverse neonatal outcomes and to determine if aspirin is more beneficial at dosages greater than 81 mg daily., Key Points: · Superimposed preeclampsia rates are the same regardless of LDA.. · Decreased rate of adverse neonatal outcomes is seen with LDA.. · No decrease in adverse maternal outcomes is seen with LDA.., Competing Interests: R.M.B. has received speaking fees and research grants from Alexion, AstraZeneca Rare Disease., (Thieme. All rights reserved.)

Introduction: Introduction: body composition (BC) analysis is an essential element in clinical nutritional practice. Bioelectrical impedance is one of the most widely used techniques for estimating BC. Several approaches have been proposed to reduce the margin of error it presents, ensuring its application in all populations. One of them is the use of impedance vectors, using tolerance ellipses. Objective: to compare the sample vectors with the Italian population and to determine specific tolerance ellipses for the Colombian university population. Materials and methods: observational cross-sectional study in 608 university students. Participation was at convenience and voluntary, between February 2022 and March 2023. BIVA 2002 software was used to calculate the tolerance ellipses and BIVA confidence to compare the vectors of the ellipses with the Italian population using Hotelling's T2 test, which was considered as significant at p < 0.05. Results: R/H and Xc/H measurements were higher in females (420.75 ± 56.012 Ω/m vs 308.7508 ± 41.81 Ω/m) and (46.15 ± 5.79 Ω/m vs 39.44 ± 5.01 Ω/m), respectively. The impedance vectors were positioned over the upper quadrants of the RXc plot, evidencing significant differences in the distribution of the composition vectors between samples. Conclusions: the vectors of the Colombian university students were different from the reference population, so it was necessary to determine the specific ellipses.

Advanced oxidation processes (AOP), using semiconductor (SC) and hydroxyapatite (HA) composites, are promising due to the synergy of photocatalytic and adsorption properties. Still, dye removal efficiency of composites based on HA-SC remains low, because most of the research reported consider single SC materials. In this work, nanocrystalline xerogels of titanium oxide (TiO 2 ) with copper oxide (CuO) and HA were synthesized by the sol-gel process. HA was obtained by the precipitation method without heat treatment and calcined in the range of 200-1000 °C. TiO 2 and copper precursors were added to a sol containing HA in a 12:1 mol ratio, obtaining HA-TiO 2 and HA-CuO-TiO 2 nanomaterials. The xerogels were characterized by X-ray diffraction, scanning electron microscopy, emission field scanning electron microscopy and photoresponse. Their performance in the photocatalytic discoloration of an aqueous solution acid yellow dye 36 (AY36) was evaluated, using visible and UV light. The best discoloration was achieved with HA-CuO-TiO 2 xerogels with HA calcined at 600 °C, showing a degradation kinetic constant of 0.24 min -1 . In contrast, HA-TiO 2 materials showed little or no photocatalytic activity, but strong dye adsorption/desorption. The thermal treatment of HA determines the filament-like morphology and degree of compaction of the nanomaterials, which are relevant in the crystallite size and sensitization of the SC matrix. Further studies must address the surface chemistry and rectifying properties of the best SC composite to have a more complete understanding of the mechanisms involved., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Introduction: Weight-related stigma (WS) has been associated with adverse psychosocial and physical health effects. Despite the relationship between WS and allostatic load, there are no integrative reviews of this association. This scoping review aims to provide a comprehensive overview of the relationship between allostatic load biomarkers associated with WS by identifying gaps in this topic and proposing recommendations for future research., Methods and Analysis: This protocol was guided by the methodological framework of Arksey and O'Malley and the Joanna Briggs Institute (JBI). The research questions were based on the population-concept-context framework. Studies in adults diagnosed as overweight or obese, exposed to WS and assessing the association between WS and biomarkers of allostatic load will be included. A search will be conducted in Medline (Ovid), PsycINFO (Ovid), Scopus (Elsevier), Cochrane Library (Wiley) and Google Scholar. The search strategy will be conducted in three stages, based on the JBI recommendation with the MESH terms "Social Stigma," "Weight Prejudice," "Biomarkers," "Allostasis," "Adults" and related terms. Data extraction will be done with a template adapted from JBI. The search strategy and selection process results will be presented in a flow chart and summarised in the text. The main results will be presented in a descriptive synthesis., Ethics and Dissemination: Ethics review and approval are not required. The results will be disseminated through peer-reviewed publications, conferences, congresses or symposia., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)