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Abstract Artificial Intelligence (AI) will have a major social impact in the coming years, affecting today’s professions and our daily routines. In the short-term, education is one of the most impacted areas. The autonomous decision making that can be achieved with tools based on AI implies that some of the traditional methodologies associated with the fundamentals of the learning process in students, must be reviewed. Consequently, the role of teachers in the classroom may change, as they will have to deal with such AI tools performing parts of their work, and with students making a common use of them. In this scope, the AI in Education (AIEd) community agrees on the key relevance of developing AI literacies to train teachers and students of all educational levels in the fundamentals of this new technological discipline, so they can understand how these tools based on AI work and pilot the adaptation in an informed way. This implies teaching students about the fundamentals of topics like perception, representation, reasoning, learning, and the impact of AI, with the aim of delivering a solid formation in this area. To support them, formal teaching and learning resources must be developed and tested with students, properly adapted to different educational levels. The main contribution of this proposal lies in the presentation of the Robobo Project, a technological tool based on intelligent robotics that supports such formal AI literacy training for a wide range of ages, from secondary school to higher education. The core part of this paper is focused on showing the possibilities the Robobo Project offers to teachers in a simple way, and how it can be adapted to different levels and skills, leading to a long-term educational proposal. Validation results that support the feasibility of this technology in the education about AI, obtained with students and teachers in different educational levels during a period of six years, are presented and discussed.

Abstract The European Union has navigated numerous complex and multifaceted crises in recent years, including Brexit, refugee challenges, and economic turmoil. The COVID-19 pandemic has added a global-scale event with significant implications, elevating public health protection as a central priority for the EU. This study aims to examine the personalization (stakeholders involved), impact, and digital engagement resulting from diverse communication strategies on Twitter during the COVID-19 vaccination campaign by key EU institutions. Employing a primarily quantitative approach, the research conducts a content analysis that categorizes both quantitative and qualitative elements to explore various variables and engagement indicators in the official accounts of the European Commission, European Parliament, and European Council. The findings suggest that, while the vaccination campaign saw a substantial volume of posts from these profiles, they fell short in engaging, mobilizing, and attracting audiences on Twitter, highlighting enduring challenges in EU message management and dissemination, as identified in previous studies.

Abstract This work studies the traditional musical game as a didactic resource in the development of educational competencies in primary school students. The purpose of the study is to validate a scale for the evaluation of essential educational factors in the work of intrinsic competencies in traditional musical games. With a mixed design, the study involves a qualitative approach to the review and discussion of the contributions of social psychology theories: contact theory, cultural values theory, and attitude theory as well as a quantitative approach using an exploratory factor analysis, a parallel analysis and a confirmatory factor analysis of the use of traditional musical games in a sample of 276 primary school students. From an initial questionnaire of 30 items, a final questionnaire of 18 items was obtained, grouped into 4 subscales (Right to Play/Fun and Preferences/Choice of Game Partners/Emotion and Inclusion) derived from the theories of social psychology. The results demonstrate the need for effective tools to measure the educational value of traditional games. This scale could serve as a tool to contribute to the educational research on traditional musical games. Finally, the educational implications that the adoption of traditional games in the classroom can have in terms of integration, equal inclusion, and the social, physical, emotional, and cognitive development of primary school students are discussed.

Abstract The purpose of this study was to assess the effectiveness of a programme aimed at improving social and emotional competencies among pupils registered in Basic Vocational Education and Training (VET) from disadvantaged contexts. The sample consisted of 110 first-year pupils (55 experimental group and 55 control group) from three Basic VET programmes delivered in an educational centre. Social and emotional learning was assessed using the Social and Emotional Learning Scale. After assigning each classroom group of each Basic VET programme to the experimental or control condition, the programme was implemented during a whole scholar year. This intervention was carried out by a team of previously trained teachers and educators and embedded in the school curriculum. The results show large effect sizes and statistically significant differences in favour of the experimental group in social and emotional competencies. These promising results suggest considering this SEL intervention as an example of an evidence-based programme.

Abstract Social media platforms are becoming an increasingly important venue for public debate. Twitch, in particular, is a popular streaming platform that targets young adults. Originally created for online video game players, the platform also includes other types of content, such as politics, leisure, and science. Here, we present a study that examines climate change discourse on this understudied platform. Unlike previous studies, this work does not only focus on users’ reactions to streamer discourse but, using an ad-hoc methodology, also analyzes the content of the videos. Indeed, an added value of this research is the development of an objective evaluation based on automatic speech recognition (ASP) and natural language processing (NLP). We found that Twitch is an emergent locus for climate discussion with a thriving community of young users interested in the topic. Our findings challenge the understanding of social media discourse on climate change and suggest that platform architecture and intended commercial goals do not play a decisive role in shaping the topics circulating on them. In contrast, our findings support the idea that public discussion on climate change percolates through technology. In other words, the public debate finds its way across existing channels rather than being constrained by them. The research also contributes to the literature by expanding the empirical base for the study of online communication about climate change, especially among young audiences.

Abstract The main feature of the current business reality is the speed of the changes in the environment and the uncertainty they generate. Among these changes, those which stand out for their importance are the ones related to the current digital revolution, which is changing, in a very short period of time, the companies’ business models. From this perspective, and based on panel data for the 2009–2020 period, the study seeks to examine in depth the technological and innovative factors which are related to the entrepreneurial density in euro area countries, with special emphasis on self-employed entrepreneurs. The results obtained show that greater robotization of industrial activities generates entrepreneurial opportunities, while investment in R&D by companies is negatively related to entrepreneurial activity. It is also noteworthy that public investment in R&D and the greater volume of employment in scientific-technological sectors has not been significant in the generation of entrepreneurial opportunities. These conclusions make it possible to identify economic policies to promote entrepreneurial activity, such as training and the generation of a favorable environment for digital innovation and artificial intelligence, but also the incentive for intrapreneurial activity in companies that invest in R&D.

Abstract This study aims to examine the impact of the different waves of the COVID-19 pandemic on the connectedness of the BRICS (Brazil, Russia, India, China, and South Africa) term structure of interest rates and its components (level, slope and curvature). For that purpose, this research applies the time-varying parameter vector autoregression (TVP-VAR) approach in order to assess the direction of spillovers among countries and factors and measure their contribution to the connectedness system. Our results show that the total connectedness measure changes over time, and the level and curvature components show connectedness that persists longer than the slope component, both in the first wave of the COVID-19 pandemic. Brazil and South Africa would appear as net transmitters of shocks, whereas China and India are net receivers. Finally, the most significant differences in the net dynamic connectedness between transmitters and receivers were focused on before and during the first wave of the COVID-19 pandemic crisis. Some additional impacts were observed during the last waves of the coronavirus pandemic. To our best knowledge, this is the first study on the connectedness between the yield curves of the BRICS economies and the COVID-19 crisis uncertainty according to the coronavirus MCI, by decomposing the yield curve into its factors (level, slope, and curvature).

Abstract Patient-centred medicine is a healthcare approach that focuses on patients’ wants, needs and preferences. An obstacle to implement patient-centred medicine is the difficulty of obtaining data that is relevant and representative of the whole society. In 2019, the Spanish Society of Cardiology highlighted eight trends that would exert a determining influence on the future of cardiology: “demographics”, “economic environment”, “political environment”, “citizens’ expectations”, “incorporation of women”, “technological innovation”, “health levels and cardiovascular risk factors” and “healthcare organisation and management”. In order to assess these trends from a pacient-centred approach, the aim of this study is to evaluate the opinions of the individuals who are part of Spanish society, regarding the eight trends identified by the Spanish Society of Cardiology, using natural language processing tools to analyse the communications expressed by citizens in digital ecosystems and official channels of communication. We analysed communications published between 2007 and 2019. Natural language processing identified 17 areas of opinion that support the eight trends. We evaluated the impact of each area of opinion based on the standard metrics of online reputation: presence, emotion and reach. Thus, 257,456 communications were analysed. The most relevant trend was “healthcare organisation and management” (54% of the total impact), followed by “health levels and cardiovascular risk factors” and “demographics” (14% and 10%, respectively). The least relevant trend was “citizens’ expectations” (1%). Within the areas of opinion identified, the one with greatest impact was “the cardiologist” (16% of the total impact). In conclusion, the results of this research show that natural language processing tools are a useful tool for patient-centred medicine. The high impact associated with the cardiologist’s role, together with the low impact observed for “citizen’s expectations” show that Spanish citizens identify the cardiologist as the leading figure regarding their cardiovascular health.

Abstract Low fertility is set to worsen economic problems in many developed countries, and maternity, paternity, and parental leave have emerged as key pro-natal policies. Gender inequity in the balance of domestic and formal work has been identified as a key driver of low fertility, and leave can potentially equalise this balance and thereby promote fertility. However, the literature contends that evidence for the effect of leave on fertility is mixed. We conduct the first systematic review on this topic. By applying a rigorous search protocol, we identify and review empirical studies that quantify the impact of leave policies on fertility. We focus on experimental or quasi-experimental studies that can identify causal effects. We identify 11 papers published between 2009 and 2019, evaluating 23 policy changes across Europe and North America from 1977 to 2009. Results are a mixture of positive, negative, and null impacts on fertility. To explain these apparent inconsistencies, we extend the conceptual framework of Lalive and Zweimüller (2009), which decomposes the total effect of leave on fertility into the “current-child” and “future-child” effects. We decompose these into effects on women at different birth orders, and specify types of study design to identify each effect. We classify the 23 studies in terms of the type of effect identified, revealing that all the negative or null studies identify the current-child effect, and all the positive studies identify the future-child or total effect. Since the future-child and total effects are more important for promoting aggregate fertility, our findings show that leave does in fact increase fertility when benefit increases are generous. Furthermore, our extensions to Lalive and Zweimüller’s conceptual framework provide a more sophisticated way of understanding and classifying the effects of pro-natal policies on fertility. Additionally, we propose ways to adapt the ROBINS-I tool for evaluating risk of bias in pro-natal policy studies.

Abstract A correct identification of seropositive individuals for the severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) infection is of paramount relevance to assess the degree of protection of a human population to present and future outbreaks of the COVID‐19 pandemic. We describe here a sensitive and quantitative flow cytometry method using the cytometer‐friendly non‐adherent Jurkat T‐cell line that stably expresses the full‐length native spike “S” protein of SARS‐CoV‐2 and a truncated form of the human EGFR that serves a normalizing role. S protein and huEGFRt coding sequences are separated by a T2A self‐cleaving sequence, allowing to accurately quantify the presence of anti‐S immunoglobulins by calculating a score based on the ratio of fluorescence intensities obtained by double‐staining with the test sera and anti‐EGFR. The method allows to detect immune individuals regardless of the result of other serological tests or even repeated PCR monitoring. As examples of its use, we show that as much as 28% of the personnel working at the CBMSO in Madrid is already immune. Additionally, we show that anti‐S antibodies with protective neutralizing activity are long‐lasting and can be detected in sera 8 months after infection.

Abstract Psoriasis is a common inflammatory skin disease involving a cross‐talk between epidermal and immune cells. The role of specific epidermal stem cell populations, including hair follicle stem cells (HF‐SCs) in psoriasis is not well defined. Here, we show reduced expression of c‐JUN and JUNB in bulge HF‐SCs in patients with scalp psoriasis. Using lineage tracing in mouse models of skin inflammation with inducible deletion of c‐Jun and JunB, we found that mutant bulge HF‐SCs initiate epidermal hyperplasia and skin inflammation. Mechanistically, thymic stromal lymphopoietin (TSLP) was identified in mutant cells as a paracrine factor stimulating proliferation of neighboring non‐mutant epidermal cells, while mutant inter‐follicular epidermal (IFE) cells are lost over time. Blocking TSLP in psoriasis‐like mice reduced skin inflammation and decreased epidermal proliferation, VEGFα expression, and STAT5 activation. These findings unravel distinct roles of HF‐SCs and IFE cells in inflammatory skin disease and provide novel mechanistic insights into epidermal cell interactions in inflammation.

Abstract G‐protein‐coupled receptors (GPCRs) are the largest family of integral membrane receptors with key roles in regulating signaling pathways targeted by therapeutics, but are difficult to study using existing proteomics technologies due to their complex biochemical features. To obtain a global view of GPCR‐mediated signaling and to identify novel components of their pathways, we used a modified membrane yeast two‐hybrid (MYTH) approach and identified interacting partners for 48 selected full‐length human ligand‐unoccupied GPCRs in their native membrane environment. The resulting GPCR interactome connects 686 proteins by 987 unique interactions, including 299 membrane proteins involved in a diverse range of cellular functions. To demonstrate the biological relevance of the GPCR interactome, we validated novel interactions of the GPR37, serotonin 5‐HT4d, and adenosine ADORA2A receptors. Our data represent the first large‐scale interactome mapping for human GPCRs and provide a valuable resource for the analysis of signaling pathways involving this druggable family of integral membrane proteins.

Abstract Long noncoding RNAs (lncRNAs) are emerging as regulators of gene expression in pathogenesis, including cancer. Recently, lncRNAs have been implicated in progression of specific subtypes of breast cancer. One aggressive, basal‐like subtype associates with increased EGFR signaling, while another, the HER2‐enriched subtype, engages a kin of EGFR. Based on the premise that EGFR‐regulated lncRNAs might control the aggressiveness of basal‐like tumors, we identified multiple EGFR‐inducible lncRNAs in basal‐like normal cells and overlaid them with the transcriptomes of over 3,000 breast cancer patients. This led to the identification of 11 prognostic lncRNAs. Functional analyses of this group uncovered LINC01089 (here renamed LncRNA Inhibiting Metastasis; LIMT), a highly conserved lncRNA, which is depleted in basal‐like and in HER2‐positive tumors, and the low expression of which predicts poor patient prognosis. Interestingly, EGF rapidly downregulates LIMT expression by enhancing histone deacetylation at the respective promoter. We also find that LIMT inhibits extracellular matrix invasion of mammary cells in vitro and tumor metastasis in vivo. In conclusion, lncRNAs dynamically regulated by growth factors might act as novel drivers of cancer progression and serve as prognostic biomarkers.

Abstract Inherited familial Alzheimer's disease (AD) is characterized by small increases in the ratio of Aβ42 versus Aβ40 peptide which is thought to drive the amyloid plaque formation in the brain of these patients. Little is known however whether ageing, the major risk factor for sporadic AD, affects amyloid beta‐peptide (Aβ) generation as well. Here we demonstrate that the secretion of Aβ is enhanced in an in vitro model of neuronal ageing, correlating with an increase in γ‐secretase complex formation. Moreover we found that peroxynitrite (ONOO−), produced by the reaction of superoxide anion with nitric oxide, promoted the nitrotyrosination of presenilin 1 (PS1), the catalytic subunit of γ‐secretase. This was associated with an increased association of the two PS1 fragments, PS1‐CTF and PS1‐NTF, which constitute the active catalytic centre. Furthermore, we found that peroxynitrite shifted the production of Aβ towards Aβ42 and increased the Aβ42/Aβ40 ratio. Our work identifies nitrosative stress as a potential mechanistic link between ageing and AD.

The present paper aims to elucidate the bioenergy potential of the invasive grass Eleusine indica based on its physicochemical characterization, pyrolysis kinetics, and thermodynamic parameters. The pyrolytic behavior of E. indica acquired from non-isothermal thermogravimetric experiments was kinetically represented by three independent parallel reactions, each corresponding to one pseudo-component (pseudo-hemicellulose (P-HC), pseudo-cellulose (P-CL), and pseudo-lignin (P-LG)). The pseudo-components were typified by their kinetic triplets (Ea, A, and f(α)) and thermodynamics parameters (ΔH, ΔG, and ΔS). The average activation energy values of E. indica pyrolysis estimated from four isoconversional methods (Friedman, Flynn–Wall–Ozawa, Kissinger–Akahira–Sunose, and Starink) varied between 98.5 and 101.8 kJ mol−1 for P-HC, 113.7 and 123.4 kJ mol−1 for P-CL, and 205.3 and 236.0 kJ mol−1 for P-LG. Pre-exponential factors of devolatilization of P-HC, P-CL, and P-LG estimated from the kinetic compensation effect were 1.73 × 109, 6.06 × 109, and 1.16 × 1019 min−1, respectively. The most plausible mechanisms for the E. indica pyrolysis included the F2 reaction model for P-HC, the A2 reaction model for P-CL, and the F6 reaction model for P-LG. The cumulative kinetic expression adequately represents the experimental kinetic curves, with R2 > 0.92 and Fit > 94.9%. Based on the thermodynamic analysis, the positive values of ΔH and ΔG showed that the E. indica pyrolysis was endothermic and nonspontaneous. In contrast, the ΔS was negative, revealing a lower reactive process characteristic. Overall, the results highlight the potential utilization of E. indica for bioenergy production and provide a solid basis for designing pyrolytic reactors using this invasive grass as a feedstock. [ABSTRACT FROM AUTHOR]

Table olives are the most important fermented vegetable in the Mediterranean countries. In a continuous effort to improve the quality of this food, this work applies an experimental design with four variables to study the use of 1-methylcyclopropene (1-MCP, 2.85 µL/L) in combination with a light heat shock (65 °C, 5 min) and dimethyl dicarbonate (DMDC, 83 mg/L), during the processing of Spanish style and natural table olives. Fruits processed in the Spanish style exhibited higher moisture levels, luminance, and combined acidity. On the contrary, natural olives contained more sugars, had a firmer texture, and displayed a greener colour. Our results show that applying 1-MCP, heat shock, and DMDC can positively impact the processing of Spanish style and natural table olives and influence their physicochemical characteristics. Adding DMDC to the initial brine caused colour degradation but lowered the pH. Using 1-MCP with a light heat shock improved the sugar content and luminance of olives and increased the titratable acidity in the brine. Applying 1-MCP to the Spanish style enhanced the luminosity (brightness) and, when combined with DMDC, led to the lowest pH levels. Further research at an industrial scale is necessary to validate these results and study their influence on microorganisms. These treatments could have applications in developing new table olive processing methods that allow for more predictable products. [ABSTRACT FROM AUTHOR]

Purpose: Thyroid lobectomy (TL) is an appropriate treatment for up to 4 cm intrathyroidal differentiated thyroid cancer (DTC). There is scarce data regarding TL outside first-world centers. Our aim is to report a cohort of patients with DTC treated with TL in Chile. Methods: We included DTC patients treated with TL, followed for at least 6 months, characterized their clinicopathological features and classified their risk of recurrence and response to treatment. Results: Eighty-two patients followed for a median of 2.3 years (0.5–7.0). Seventy-three (89%) patients had papillary, 8 (9.8%) follicular and 1 (1.2%) high-grade DTC. The risk of recurrence was low in 56 (68.3%) and intermediate in 26 (31.7%). Eight (9.8%) patients required early completion thyroidectomy and radioiodine. At last follow-up, 52 (70.3%) had excellent, 19 (25.7%) had indeterminate, and 1 (1.4%) had structural incomplete response. Conclusion: In a developing country, TL is an adequate option for appropriately selected DTC patients. [ABSTRACT FROM AUTHOR]

Nowadays, Internet of Things (IoT) devices, especially wearable devices, are commonly integrated into modern intelligent healthcare software. These devices enable medical practitioners to monitor pervasively patients' parameters outside the clinical environment. However, the ease of manipulating wearable devices and their data streams raises concerns regarding patient privacy and data trust. Distributed ledger technologies (DLT) offer solutions to enhance resistance against information manipulation and eliminate single points of failure. By leaveraging DLT, wearable-based solutions can be developed with a wider range of capabilities. This paper carries out an analysis of shortcomings, limitations, potential applications and needs in the medical domain, to introduce Phonendo 1.0, a DLT–IoT-based platform designed to capture data streams from wearable devices and publishing them on a distributed ledger technology infrastructure. The architecture and its difference services are justified based on the identified needs and challenges in the medical domain. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the positions of the mandibular foramen (MF) and mandibular canal (MC) between different skeletal classes to highlight the implications for bilateral sagittal split osteotomy (BSSO). Methods: A cross-sectional study was performed using cone-beam computed tomography on 90 patients classified into classes I, II and III. Linear measurements were performed on multiplanar reconstructions as follows: from the MF to the edge of the mandibular ramus (1), to the mandibular notch (2), to the ramus width (3) and to the occlusal plane (4); and from the MC to the alveolar crest (A), to the lower border of the mandible (B) and to the mandibular buccal cortical bone (C). Mandibular thickness (D), width (E) and height (F) of the MC were measured. Intra-class correlation coefficient (ICC) checked the reliability. Two-way ANOVA and Tukey's test were used to compare measurements and classes. Results: Linear measurements 2 presented a statistically significant difference between classes I and II. There was no statistically significant difference between the classes and measurements B, C, D, E and F. Linear measurements A were shorter in class III than in class II. Conclusions: Although most measurements suggest that the BSSO technique does not need to be modified for each skeletal class, measurements from the MF to the mandibular notch in class II and from the MC to the alveolar crest on distal of the second molars in class III could help surgeons to recognize critical regions. [ABSTRACT FROM AUTHOR]

Background: The objective of this study was to assess long-term outcome in patients with spontaneous intracerebral hemorrhage admitted to the intensive care unit. Methods: Mortality and Glasgow Outcome Scale, Barthel Index, and 5-level EQ-5D version (EQ-5D-5L) scores were analyzed in a multicenter cohort study of three Spanish hospitals (336 patients). Mortality was also analyzed in the Medical Information Mart for Intensive Care III (MIMIC-III) database. Results: The median (25th percentile-75th percentile) age was 62 (50–70) years, the median Glasgow Coma Score was 7 (4–11) points, and the median Acute Physiology and Chronic Health disease Classification System II (APACHE-II) score was 21 (15–26) points. Hospital mortality was 54.17%, mortality at 90 days was 56%, mortality at 1 year was 59.2%, and mortality at 5 years was 66.4%. In the Glasgow Outcome Scale, a normal or disabled self-sufficient situation was recorded in 21.5% of patients at 6 months, in 25.5% of patients after 1 year, and in 22.1% of patients after 5 years of follow-up (4.5% missing). The Barthel Index score of survivors improved over time: 50 (25–80) points at 6 months, 70 (35–95) points at 1 year, and 90 (40–100) points at 5 years (p < 0.001). Quality of life evaluated with the EQ-5D-5L at 1 year and 5 years indicated that greater than 50% of patients had no problems or slight problems in all items (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression). In the MIMIC-III study (N = 1354), hospital mortality was 31.83% and was 40.5% at 90 days and 56.2% after 5 years. Conclusions: In patients admitted to the intensive care unit with a diagnosis of nontraumatic intracerebral hemorrhage, hospital mortality up to 90 days after admission is very high. Between 90 days and 5 years after admission, mortality is not high. A large percentage of survivors presented a significant deficit in quality of life and functional status, although with progressive improvement over time. Five years after the hemorrhagic stroke, a survival of 30% was observed, with a good functional status seen in 20% of patients who had been admitted to the hospital. [ABSTRACT FROM AUTHOR]

Freshwater macroinvertebrates can connect tropical forests and stream food webs by consuming both terrestrially and aquatically produced foods, but direct observations of nocturnal feeding behavior in these natural ecosystems are rare. Observational data on decapods feeding behavior are limited partly because they are cryptic and often forage at night to avoid predators and competitors. We hypothesized that freshwater decapods forage on riparian fruit fall based on its relatively high energy and nutrient content. We used underwater cameras to video record night-time foraging under dim red light. Palm fruits (Acrocomia aculeata (Jacq.) Lodd. ex Mart.) were added to determine rates of feeding responses among crabs (Silviocarcinus australis Magalhães and Turkay, 1996) and shrimp (Macrobrachium amazonicum Heller, 1862) in a spring-fed, clear-water stream in the state of Mato Grosso do Sul, Brazil. Within 30 min, shrimp located the fruit, and within 60 min, crabs began shredding the pulp of the palm fruit. Crabs fed on the palm fruits, on average five times longer than shrimp and produced pieces of palm fruit pulp that some shrimp consumed without aggressively interacting with the crab. Small fish also consumed some palm pulp particles. This interaction network is an example of fruit-fall processing based on indirect facilitation among different types of consumers. [ABSTRACT FROM AUTHOR]

Long COVID has been linked to a decline in physical activity and functional capacity. However, it remains unclear which physical symptoms are associated with specific aspects of movement behaviors and functional capacity. We aimed to investigate the associations of fatigue, dyspnea, post-exertional malaise, myalgia, and the co-occurrence of symptoms with movement behaviors and functional capacity in individuals with Long COVID. A cross-sectional multicenter study was conducted. Questionnaires were used to assess fatigue, dyspnea, post-exertional malaise, and myalgia. Accelerometry was employed to assess sedentary time, steps per day, light physical activity, and moderate-to-vigorous physical activity. The six-minute walk test, 30-s chair stand test, and timed up and go were used to assess functional capacity. One hundred and two community-dwelling individuals who had been living with Long COVID for 15 ± 10 months participated in the study. Fatigue, post-exertional malaise, and the co-occurrence of physical symptoms showed a negative association with step count, while post-exertional malaise was also negatively associated with moderate-to-vigorous physical activity. Dyspnea showed a negative association with the functional score, including all tests. Our findings suggest that fatigue, post-exertional malaise, and the co-occurrence of physical symptoms are negatively associated with physical activity, while dyspnea is negatively associated with functional capacity in individuals with Long COVID. [ABSTRACT FROM AUTHOR]

This study analyzes the atmospheric and oceanic mechanisms that influenced rainfall distribution in Ceará, Brazil during the 2018 rainy season and the impacts of the observed rainfall distribution on agriculture in the region. Special attention is given to the month of March, when precipitation was below the climatological average. Precipitation, wind, omega, specific humidity, outgoing longwave radiation, and oceanic indices from the Pacific and Atlantic data were used in the analyses. The Multivariate Real-Time Madden–Julian Oscillation (MJO) Index was employed to assess the influence of the MJO on precipitation in March 2018. The results indicate that subseasonal variability, through the MJO in phases 4, 5, and 6, played a crucial role in suppressing convective activity. Additionally, a delayed austral summer pattern was found, with the South American Convergence Zone (SACZ) positioned further north and a quasi-stationary trough at altitude. These two atmospheric factors inhibited the more intense rainfall activity in the Intertropical Convergence Zone (ITCZ). In the ocean analyses, Sea Surface Temperature (SST) anomalies indicated the presence of La Niña in the equatorial Pacific, although it was in transition from cooling to warming. This, in addition to the neutrality of the interhemispheric gradient of the Tropical Atlantic SST anomalies, may have also contributed to negative precipitation anomalies and influenced the MJO displacement. MJO phases associated with suppression contributed to economic losses for the agricultural sector. [ABSTRACT FROM AUTHOR]

Background: Granular Cell Tumor (GCT) is an uncommon benign lesion in the oral cavity whose pathogenesis remains poorly understood. Due to their infrequent occurrence and similarity to other oral lesions, they are often forgotten during the initial clinical diagnosis. Therefore, understanding its prevalence, clinical and pathological characteristics is crucial for an accurate diagnosis and adequate management. Methods: All cases diagnosed as GCTs in six Brazilian and Argentinian oral diagnostic centers were re-evaluated by HE staining, and clinical, demographic, and histopathological data were collected and evaluated. Results: The series comprised 45 female (73.8%) and 16 male (26.2%), with a 2.8:1 female-to-male ratio and a mean age of 35.3 ± 16.9 years (range: 7–77 years). Most cases occurred on the tongue (n = 49; 81.6%) and presented clinically as asymptomatic papules or nodules (n = 50; 89.3%) with a normochromic (n = 25; 45.5%) or yellowish (n = 11; 20.0%) coloration and sizes ranging from 0.2 to 3.0 cm (mean ± SD: 1.40 ± 0.75 cm). Morphologically, most tumors were characterized by a poorly delimited proliferation (n = 52; 88.1%) of cells typically rounded to polygonal containing abundant, eosinophilic, finely granular cytoplasm. Pustulo-ovoid bodies of Milian were identified in all lesions (n = 61; 100%). Entrapment of skeletal striated muscle (n = 44; 72.1%) and nerve fibers (n = 42; 68.9%) were common findings. Pseudoepitheliomatous hyperplasia (PEH) was observed in 23 cases (39.0%). In only 27.7% of cases (n = 13) there was agreement between the clinical and histopathological diagnosis. Outcome information was available from 16 patients (26.2%), with clinical follow-up ranging from 4 to 36 months (mean 13.3 months), and none developed local recurrence. Conclusions: The clinical and histopathological features of GCTs were consistent with those described in previous studies. In general, these lesions have a predilection for the lateral region of the tongue in adult women. It is essential to consider GCTs in the differential diagnosis of yellow or normochromic papules and nodules in the oral cavity. Histopathological evaluation is essential for the definitive diagnosis and the prognosis is excellent. [ABSTRACT FROM AUTHOR]

Cognitive and neurological impairments are very common, but only a small proportion of affected individuals are diagnosed and treated, partly because of the high costs associated with frequent screening. Detecting pre-illness stages and analyzing the progression of neurological disorders through effective and efficient intelligent systems can be beneficial for timely diagnosis and early intervention. We propose using Large Language Models to extract features from free dialogues to detect cognitive decline. These features comprise high-level reasoning content-independent features (such as comprehension, decreased awareness, increased distraction, and memory problems). Our solution comprises (i) preprocessing, (ii) feature engineering via Natural Language Processing techniques and prompt engineering, (iii) feature analysis and selection to optimize performance, and (iv) classification, supported by automatic explainability. We also explore how to improve Chatgpt's direct cognitive impairment prediction capabilities using the best features in our models. Evaluation metrics obtained endorse the effectiveness of a mixed approach combining feature extraction with Chatgpt and a specialized Machine Learning model to detect cognitive decline within free-form conversational dialogues with older adults. Ultimately, our work may facilitate the development of an inexpensive, non-invasive, and rapid means of detecting and explaining cognitive decline. [ABSTRACT FROM AUTHOR]

Purpose: Given its potential advantages, open Transversus Abdominis Release (oTAR) has been proposed as a durable solution for complex AWR. However, its applicability in different scenarios remains uncertain. We aimed to analyze the current available evidence and determine surgical outcomes after oTAR. Methods: We performed a systematic electronic search on oTAR in PubMed/Medline, Embase, and Cochrane Central Register of Controlled Trials databases. Postoperative morbidity and recurrence rates were included as primary endpoints and Quality of life (QoL) was included as secondary endpoint. A random-effect model was used to generate a pooled proportion with 95% confidence interval (CI) between all studies. Results: A total of 22 studies with 4,910 patients undergoing oTAR were included for analysis. Mean hernia defect and mesh area were 394 (140–622) cm2 and 1065 (557–2206) cm2, respectively. Mean follow-up was 19.7 (1–32) months. The weighted pooled proportion of recurrence, overall morbidity, surgical site occurrences (SSO), surgical site infection (SSI), surgical site occurrences requiring procedural intervention (SSOPI), major morbidity and mortality were: 6% (95% CI, 3-10%), 34% (95% CI, 26-43%), 22% (95% CI, 16-29%), 11% (95% CI, 8-16%), 4% (95% CI, 3-7%), 6% (95% CI, 4-10%) and 1% (95% CI, 1-2%), respectively. A significant improvement in QoL after oTAR was reported among studies. Conclusion: Open TAR is an effective technique for complex ventral hernias as it is associated with low recurrence rate and a significant improvement in QoL. However, the relatively high morbidity rates observed emphasize the necessity of further patients' selection and optimization to improve outcomes. [ABSTRACT FROM AUTHOR]

Anisotropy strength in the Tres Vírgenes Volcanic Complex, Baja California Sur, Mexico, is analyzed employing 558 seismic events collected from 2009 to 2013. It was possible to delineate zones and volumes with the highest fracture densities, which are mainly located between the El Viejo and El Azufre volcanoes and around the La Reforma–El Azufre fault system, near some other mapped faults in the area (e.g., El Azufre, El Partido, El Volcán, El Viejo 1, and El Viejo 2 faults); likewise toward the La Virgen volcano and around the La Virgen-El Campamento and El Volcán faults. Individual delay times reached values of up to 0.16 s and an anisotropy percentage of up to 10.3%, with a pervasive anisotropy observed from at least a hypocentral distance of 3.5 km. High fracturing levels are observed from a depth of 7.0 km. Differences between splitting delays and the dominant frequency peaks obtained from the fast S phases allowed considering fracture systems with different degrees of fluid contents. Fractures with minor fluid contents were assumed for delay times higher than 0.03 s with lower dominant frequency peaks (< 1.0 Hz). Higher concentrations of fluid inclusions were assumed for splitting delays higher than 0.03 s but with larger dominant frequency peaks (> 1.0 Hz). Fractures systems chemically sealed or impermeable sealing caps were assumed for low splitting delays (< 0.02 s) with low dominant frequencies (< 1.0 Hz). These different fracture systems seem to be observed at least from 5- to 6-km depth intervals. Likewise, an analysis of the fast polarization directions with respect to different depth ranges (spanning from 3.0 to 8.0 km) has allowed observations of a strong NW–SE regional fracture system accompanied by minor NE–SW fracture systems. However, noteworthy variations from NW–SE to NE–SW, N–S, and E–W in fast polarization directions in rose diagrams have been preferentially observed for those seismic events deeper than 4–5 and 5–6 km in some areas, which could be indicating the location of magmatic bodies that probably caused the reorientation on fracture systems by changes in the local stress field. These magmatic bodies might be supported by a decrease in the dominant frequency peaks (lower than 1.0 Hz), percentage of anisotropy (from 0.1 to 2.5%), and S-wave velocities (from 1.0 to 2.7 km/s), which seem to be located from the 4.0-km depth but more concentrated from the 5–6-km depth interval. [ABSTRACT FROM AUTHOR]

We report the case of a Spanish pediatric patient with developmental delay, hypotonia, feeding difficulties, visual problems, and hyperkinetic movements. Whole-exome sequencing uncovered a new heterozygous de novo Synaptotagmin 1 (SYT1) missense variant, NM_005639.3:c.930T>A (p.Asp310Glu), in a female proband. This gene encodes the synaptotagmin-1 (SYT1) protein, which is a component of a protein complex involved in the fusion of synaptic vesicles with the presynaptic membrane. Pathogenic SYT1 variants have been associated with Baker–Gordon syndrome (BAGOS), an autosomal dominant neurodevelopmental disorder. Although up to 30 cases have been identified worldwide, to the best of our knowledge, this is the first patient described with mitochondrial respiratory chain deficiencies and rod–cone dysfunction. In conclusion, our data expand both the genetic and phenotypic spectrum associated with SYT1 variants. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to report clinicopathologic and imaging features of odontogenic myxomas (OM), highlighting uncommon findings. Methods: Clinicopathologic and imaging data of OMs diagnosed in the five Brazilian diagnostic pathology centers were collected and analyzed. Results: The series comprised 42 females (68.9%) and 19 males (31.1%), with a 2.2:1 female-to-male ratio and a mean age of 34.5±15.4 years (range: 4-80). Clinically, most OMs presented as painless intraoral swelling (n = 36; 70.6%) in the mandible (n=37; 59.7%). Multilocular lesions (n=30; 83.3%) were more common than unilocular lesions (n=6; 16.7%). There was no statistically significant difference between the average size of unilocular and multilocular OMs (p=0.2431). The borders of OMs were mainly well-defined (n=24; 66.7%) with different degrees of cortication. Only seven tumors caused tooth resorption (15.9%), while 24 (54.5%) caused tooth displacement. Cortical bone perforation was observed in 12 (38.7%) cases. Morphologically, OMs were characterized mainly by stellate or spindle-shaped cells in a myxoid background (n=53; 85.5%). Surgical resection was the most common treatment modality (n=15; 65.2%), followed by conservative surgery (n=8; 34.8%). Outcomes were available in 20 cases (32.3%). Seven of these patients had local recurrence (35%). Enucleation was the treatment with the highest recurrence rate (4/7; 57.1%). Conclusions: OM has a predilection for the posterior region of the jaws of female adults. Despite their bland morphological appearance, they displayed diverse imaging features. Clinicians must include the OM in the differential diagnosis of osteolytic lesions of the jaws. A long follow-up is needed to monitor possible recurrences. [ABSTRACT FROM AUTHOR]

Background: The potential ecosystem collapse of forests in Mediterranean-type ecosystems (MTEs) by unprecedented droughts is worrisome due to the impacts on its exceptional biodiversity and human well-being. However, research integrating the impacts of global change drivers, forest resilience and the challenges facing human-nature relationships is still scarce. Methods and results: Using the central Chile megadrought and recently massive forest browning event as a model scenario, we identified, through a scientific literature review and an interdisciplinary scientific workshop, the research priorities and questions to address for MTEs in a context of global change. Our results highlighted knowledge gaps that need to be covered, particularly in social and environmental sciences, with an emphasis on soil science. Research priorities must focus on (1) the understanding of interactive effects of global and local anthropogenic drivers on MTEs and (2) the evaluation of the potential impacts of MTEs collapse on human well-being and ecosystem functioning. Conclusions: We highlight the need for a collaborative approach involving scientists, landowners, managers/administrators, and policymakers to apply adaptive forest management against the current socio-environmental challenges under a global change context. [ABSTRACT FROM AUTHOR]

Effective quality management plays a pivotal role in ensuring the smooth operation of smart city systems, which have significant implications for safety, accessibility, affordability, and maintainability. Dependability of autonomous systems is of utmost importance, as achieving satisfactory levels of availability and reliability poses considerable challenges. Smart cities are characterized by interconnected sub-architectures, encompassing vehicle monitoring, sidewalk monitoring, and building monitoring, all of which need to function efficiently. Analytical models such as Petri nets, Markov chains, and fault trees are well-suited for evaluating complex scenarios in the context of smart cities. This paper presents analytical models that utilize fault tree and Markov chain techniques to assess the availability and reliability of smart city monitoring systems. The model is divided into shared and non-shared components, with non-shared components being specific to certain contextual applications, while shared components, such as data processing and electrical power, are essential for all smart city monitoring and management systems. The study underscores the ease with which the fault tree model can enhance availability by modifying failure requirements and resources. Case studies provide concrete examples of how availability improved from 95.3 to 99.8% by varying a configuration known as "KooN" in multiple components. This paper takes a comprehensive approach to evaluating the dependability of smart city architectures and contributes advancements, such as hierarchical modeling, sequential sensitivity analysis, and the "KooN" analytic method. These contributions expand the existing knowledge and methodologies in smart city dependability analysis. Moreover, this work aims to serve as a practical tool to assist smart city managers in optimizing their proposals. All modeling aspects and parameters are detailed thoroughly to enable effective implementation of the proposed approach by anyone using it. [ABSTRACT FROM AUTHOR]

In recent years, the interaction of a human operator with teleoperated robotic systems has been much improved. One of the factors influencing this improvement is the addition of force feedback to complement the visual feedback provided by traditional graphical user interfaces. However, the users of these systems performing tasks in isolated and safe environments are often inexperienced and occasional users. In addition, there is no common framework to assess the usability of these systems, due to the heterogeneity of applications and tasks, and therefore, there is a need for new usability assessment methods that are not domain specific. This study addresses this issue by proposing a measure of usability that includes five variables: user efficiency, user effectiveness, mental workload, perceived usefulness, and perceived ease of use. The empirical analysis shows that the integration of haptic feedback improves the usability of these systems for non-expert users, even though the differences are not statistically significant; further, the results suggest that mental workload is higher when haptic feedback is added. The analysis also reveals significant differences between participants depending on gender. [ABSTRACT FROM AUTHOR]

Glioma tumors are the most common form of central nervous system tumors, and there is a pressing need for innovative methods that can precisely target cancer cells while leaving healthy tissues unharmed. In this study, progressing in the field of Catalytic Nanomedicine, we investigated the cytotoxic effects of a novel class of bionanocatalysts on glioma cancer cells. These bionanocatalysts were constructed from a catalytic matrix of oxides with evenly dispersed superficial copper-coating nanoparticles. This design optimizes both the inherent catalytic characteristics of the matrix and instills cytotoxic properties. The bionanocatalysts coated with copper demonstrated a significant reduction in cancer cell viability when compared to reference bionanocatalysts without the transition metal. We also observed structural damage to the cytoskeleton and alterations in mitochondrial activity. These findings suggest that these pathways are integral to the mechanisms through which these nanostructures execute their bionanocatalytic activities, particularly in breaking chemical bonds. Importantly, our physicochemical analyses verified that the coating with copper species, primarily CuO, did not disrupt the individual structure of the bionanocatalysts: instead, it enhanced their catalytic cytotoxic potential. This research aims to deepen our understanding of the mechanisms underlying this promising antineoplastic treatment and underscore the effectiveness of superficial copper-coating nanoparticles as agents for amplifying the inherent properties of bionanocatalysts through nanocatalysis. [ABSTRACT FROM AUTHOR]

Patritumab deruxtecan (HER3-DXd) exhibits promising efficacy in breast cancer, with its activity not directly correlated to baseline ERBB3/HER3 levels. This research investigates the genetic factors affecting HER3-DXd's response in women with early-stage hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer. In the SOLTI-1805 TOT-HER3 trial, a single HER3-DXd dose was administered to 98 patients across two parts: 78 patients received 6.4 mg/kg (Part A), and 44 received a lower 5.6 mg/kg dose (Part B). The CelTIL score, measuring tumor cellularity and infiltrating lymphocytes from baseline to day 21, was used to assess drug activity. Part A demonstrated increased CelTIL score after one dose of HER3-DXd. Here we report CelTIL score and safety for Part B. In addition, the exploratory analyses of part A involve a comprehensive study of gene expression, somatic mutations, copy-number segments, and DNA-based subtypes, while Part B focuses on validating gene expression. RNA analyses show significant correlations between CelTIL responses, high proliferation genes (e.g., CCNE1, MKI67), and low expression of luminal genes (e.g., NAT1, SLC39A6). DNA findings indicate that CelTIL response is significantly associated with TP53 mutations, proliferation, non-luminal signatures, and a distinct DNA-based subtype (DNADX cluster-3). Critically, low HER2DX ERBB2 mRNA, correlates with increased HER3-DXd activity, which is validated through in vivo patient-derived xenograft models. This study proposes chemosensitivity determinants, DNA-based subtype classification, and low ERBB2 expression as potential markers for HER3-DXd activity in HER2-negative breast cancer. Patritumab deruxtecan (HER3-DXd) is a promising therapy for breast cancer, targeting HER3. Here, the authors analyse the genomic factors that affect the response to HER3-DXd in patients with early-stage HER2-negative breast cancer as part of the SOLTI-1805 TOT-HER3 clinical trial and report outcomes for Part B of the trial using lower HER3-DXd dose in patients with HER2-negative breast cancer. [ABSTRACT FROM AUTHOR]

Economic growth in Spain has largely relied on certain water-intensive sectors including construction, leisure, and agriculture; but considerable heterogeneity is found across the country's regions, both in terms of water stress and economic structure. Using Data Envelopment Analysis and a panel Tobit model, we analyze the determinants of water efficiency in Spain, differentiating by groups of agents (companies, households, and municipalities) and paying particular attention to inter-regional differences and specifically the sectoral structure of the various regions. To the best of our knowledge, such an analysis has never before been conducted with a focus on Spain's economy. Moreover, we emphasize the importance of considering the circular aspects of water management by including treated wastewater and recycled water in our analysis. We argue that this approach provides more credible and accurate measures of efficiency as well as more robust results around the key driving and explanatory factors. Our analysis reveals that water efficiency has a very significant inertia component with respect to one-year and even two-year lags, and this is found to react positively to water scarcity. Moreover, water efficiency depends on income in a nonlinear way, and it is sensitive to the economic structures of the diverse regions, with more efficient regions tending to export more at the national level. In terms of policy implications, our results provide an empirical basis from which to advocate for water tariffication as a means to spur efficiency. [ABSTRACT FROM AUTHOR]

Purpose: The prognostic utility and biological correlates of neutrophil to lymphocyte ratio (NLR), a potential biomarker of the balance between immune response and the inflammatory status, are still uncertain in breast cancer (BC). Methods: We analysed a cohort of 959 women with early breast cancer, mostly treated with neoadjuvant or adjuvant chemotherapy. Clinical and pathological data, survival, NLR (continuous and categorical) and stromal tumor infiltrating lymphocytes (sTIL) were evaluated. Results: NLR was only weakly associated with Ki67, while no association was found for grade, histology, immunohistochemical subtype or stage. Lymphocyte infiltration of the tumor did not correlate with NLR (Rho: 0.05, p = 0.30). These results were similar in the whole group and across the different BC subtypes, with no differences in triple negative BC. Relapse free interval (RFI), breast cancer specific survival (BCSS) and overall survival (OS) changed according to pre-treatment NLR neither in the univariate nor in the multivariate Cox models (RFI: HR 0.948, p = 0.61; BCSS: HR 0.920, p = 0.57; OS: HR 0.96, p = 0.59). Conclusion: These results question the utility of NLR as a prognostic biomarker in early breast cancer and suggest the lack of correlation of NLR with tumor microenvironment immune response. [ABSTRACT FROM AUTHOR]

Assessing the economic, social, and environmental sustainability of food production is imperative for aligning with the Sustainable Development Goals (SDGs) of the 2030 Agenda and adhering to evolving regulatory and strategic frameworks. The absence of a standardized methodology for quantifying sustainability in the agri-food system value chain necessitates the development of an effective approach. This study proposes a comprehensive methodological framework for quantifying the sustainability of agriculture, livestock, and the agri-food industry. The proposed methodology is based on the consensus achieved by a panel of experts using the Delphi methodology. The study emphasizes the identification of activities requiring corrective measures to enhance sustainability within the circular economy principles. The proposed model incorporates 70 indicators, with a particular emphasis on environmental indicators, aligning with the consensus of the expert panel. The resulting composite indicator and the accompanying battery of indicators provide a nuanced understanding of agribusiness sustainability. The study's findings underscore the need for prioritizing environmental considerations in evaluating agribusiness sustainability. The proposed model facilitates the formulation of actionable plans to enhance the viability of agribusinesses, enabling their adaptation to the evolving social and political landscape. This adaptation is crucial in meeting the contemporary demand for a reduction in the environmental footprint associated with food production and transformation. The developed methodology contributes to the harmonization of sustainability assessment practices, fostering a more comprehensive and standardized approach across the agri-food sector. [ABSTRACT FROM AUTHOR]

The classification of land use and land cover (LULC) from remotely sensed imagery in semi-arid Mediterranean areas is a challenging task due to the fragmentation of the landscape and the diversity of spatial patterns. Recently, the use of deep learning (DL) for image analysis has increased compared to commonly used machine learning (ML) methods. This paper compares the performance of four algorithms, Random Forest (RF), Support Vector Machine (SVM), Multilayer Perceptron (MLP) and Convolutional Network (CNN), using multi-source data, applying an exhaustive optimisation process of the hyperparameters. The usual approach in the optimisation process of a LULC classification model is to keep the best model in terms of accuracy without analysing the rest of the results. In this study, we have analysed such results, discovering noteworthy patterns in a space defined by the mean and standard deviation of the validation accuracy estimated in a 10-fold cross validation (CV). The point distributions in such a space do not appear to be completely random, but show clusters of points that facilitate the discovery of hyperparameter values that tend to increase the mean accuracy and decrease its standard deviation. RF is not the most accurate model, but it is the less sensitive to changes in hyperparameters. Neural Networks, tend to increase commission and omission errors of the less represented classes because their optimisation lead the model to learn better the most frequent classes. On the other hand, RF and MLP prediction layers are the most accurate from a general qualitative point of view. [ABSTRACT FROM AUTHOR]

In acute lymphoblastic leukaemia (ALL), elevated foetal haemoglobin (HbF) levels have been associated with the prognosis of patients. Genetic variants in HbF regulatory genes: BAF chromatin remodelling complex subunit (BCL11A), HBS1L-MYB transcriptional GTPase intergenic region (HBS1L-MYB), Krüppel-like factor 1 (KLF1), haemoglobin gamma subunit 2 (HBG2), haemoglobin gamma subunit 1 (HBG1), and haemoglobin subunit beta pseudogene 1 (HBBP1) are often associated with elevated HbF concentration. This study investigated the association of genetic variants in HbF regulatory genes with HbF concentration, unfavourable prognosis, and outcome in children with ALL. We quantified HbF concentration and genotyped 17 genetic variants in 48 patients with ALL and 64 children without ALL as a reference group. HbF concentration was higher in patients than in the reference group (4.4% vs 1.4%), and 75% (n = 36) of the patients had HbF > 2.5%. Unfavourable prognosis ALL was established in 68.8% (n = 33) of the patients. Variant HBG2 rs7482144 was associated with high HbF concentration (P = 0.015); while HBS1L-MYB rs9399137 (P = 0.001), HBG2 rs7482144 (P = 0.001) and the β-globin genes HBG2, HBG1, and HBPP1 haplotype TGC (P = 0.017) with unfavourable prognosis ALL. Additionally, variant BCL11A rs4671393 showed a protective role (P = 0.0001). In conclusion, variants HBG2 rs7482144, HBS1L-MYB rs9399137 and BCL11A rs4671393 may play a significant role in ALL. [ABSTRACT FROM AUTHOR]

Agroforestry practices that include trees on grazing lands could enhance atmospheric CO2 sequestration and storage. However, carbon sequestration rates and storage capacity of intensively grazed agroforestry systems vary due to the diversity in species composition, stand structure, system age, and management practices. The objective of this study was to evaluate carbon stocks and accrual rates in Leucaena leucocephala + Cynadon plectostachyus, and Brachiaria decumbens grass silvopastoral systems and compare them with conventional open grazing lands. The study was carried out in Chiapas in southern Mexico, one of the hotspots of deforestation driven by the expansion of livestock farming. We measured above- and belowground carbon stocks in 18 silvopasture (SP) plots, with the plantation age ranging from 2 to 10 years. Nine plots of adjacent conventional full-sun grasslands (open pasturelands) grazed rotationally were sampled for comparison. The average tree biomass stock in SP was 5.5 ± 1.9 Mg C ha−1 and differed with SP age. Mean annual biomass accrual rates ranged from 0.25 to 2.57 Mg C ha−1 year−1, indicating that SP systems are CO2 sinks, excluding other sources of GHG such as methane emissions from enteric fermentation. The average soil organic carbon (SOC) sequestration rate of SP was 0.143 ± 0.043 Mg C ha−1 year−1 to 50 cm depth. The SOC sequestration rates correlated positively with SP age at the beginning and decreased after about 8 years. The results suggested that the age and lifespan of trees play a significant role in aboveground C sequestration through the Leucaena leucocephala SP, while SOC storage varied with soil properties. Further research on the relative response of active and stable SOC fractions along with soil CO2 fluxes could explain the results on the SOC storage potential of these agroforestry systems. [ABSTRACT FROM AUTHOR]